{"filter":{"intervention":"diet_intervention"},"n_projects":152,"projects":[{"accession":"PRJEB63587","age_categories":{"infant":1519},"countries":{"BD":1519},"first_public_year":"2025","gbp_per_sample_median":2.14,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"malnutrition":1519},"intervention_design":"randomized_controlled_trial","intervention_detail":"Microbiota-Directed Complementary Food (MDCF-2) vs ready-to-use supplementary food, 3 months","interventions":["diet_intervention"],"n_samples":1519,"papers":[{"doi":"10.1126/scitranslmed.adn2366","pmcid":"PMC11572952","pmid":"39356745","title":"A microbiome-directed therapeutic food for children recovering from severe acute malnutrition."}],"sample_intervention_arms":{},"sex":{},"title":"A microbiota-directed therapeutic food for severely malnourished children evaluated following acute nutritional resuscitation","trial_population_condition":"malnutrition","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB63587","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB63587_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB63587.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB63587.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB63587.csv.gz"}},{"accession":"PRJEB24771","age_categories":{"infant":1392},"countries":{"MW":1392},"first_public_year":"2018","gbp_per_sample_median":0.06,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":1392},"intervention_design":"randomized_controlled_trial","intervention_detail":"Common beans or cowpeas supplementation trial in children","interventions":["diet_intervention"],"n_samples":1392,"papers":[{"doi":"10.1111/1758-2229.12960","pmcid":"PMC8518733","pmid":"34152069","title":"Investigating the infant gut microbiota in developing countries: worldwide metagenomic meta-analysis involving infants living in sub-urban areas of Côte d'Ivoire."},{"doi":"10.1111/1462-2920.16205","pmcid":"PMC10092070","pmid":"36123315","title":"Designation of optimal reference strains representing the infant gut bifidobacterial species through a comprehensive multi-omics approach."},{"doi":"10.1038/s41522-022-00349-1","pmcid":"PMC9622858","pmid":"36316342","title":"Exploring species-level infant gut bacterial biodiversity by meta-analysis and formulation of an optimized cultivation medium."},{"doi":"10.1038/s41522-023-00392-6","pmcid":"PMC10175488","pmid":"37169786","title":"Comprehensive insights from composition to functional microbe-based biodiversity of the infant human gut microbiota."}],"sample_intervention_arms":{"dietary_supplement":940,"no_intervention":452},"sex":{"female":680,"male":712},"title":"Legumes and Growth Data","trial_population_condition":"malnutrition","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB24771","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB24771_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB24771.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB24771.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB24771.csv.gz"}},{"accession":"PRJEB11532","age_categories":{"adult":939,"elderly":30},"countries":{"IL":900},"first_public_year":"2015","gbp_per_sample_median":2.74,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":900},"intervention_design":"randomized_controlled_trial","intervention_detail":"Personalized diet intervention based on predicted glycemic response algorithm","interventions":["diet_intervention"],"n_samples":969,"papers":[{"doi":"10.1016/j.cell.2015.11.001","pmcid":null,"pmid":"26590418","title":"Personalized Nutrition by Prediction of Glycemic Responses."},{"doi":"10.7717/peerj.4303","pmcid":"PMC5807925","pmid":"29441232","title":"Detection of stable community structures within gut microbiota co-occurrence networks from different human populations."},{"doi":"10.1038/s41588-020-00763-1","pmcid":"PMC8515199","pmid":"33462485","title":"Large-scale association analyses identify host factors influencing human gut microbiome composition."},{"doi":"10.1038/s41591-022-01686-6","pmcid":"PMC12365913","pmid":"35177859","title":"Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease."},{"doi":"10.1371/journal.pone.0265756","pmcid":"PMC8947124","pmid":"35324954","title":"An atlas of robust microbiome associations with phenotypic traits based on large-scale cohorts from two continents."}],"sample_intervention_arms":{},"sex":{"female":547,"male":353},"title":"Towards personalized nutrition by prediction of glycemic responses","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB11532","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB11532_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB11532.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB11532.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB11532.csv.gz"}},{"accession":"PRJEB45356","age_categories":{"unknown":949},"countries":{"BD":949},"first_public_year":"2023","gbp_per_sample_median":5.71,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"malnutrition":949},"intervention_design":"randomized_controlled_trial","intervention_detail":"MDCF-2 vs RUSF complementary food trial in malnourished children","interventions":["diet_intervention"],"n_samples":949,"papers":[{"doi":null,"pmcid":null,"pmid":null,"title":""},{"doi":null,"pmcid":null,"pmid":null,"title":""},{"doi":null,"pmcid":null,"pmid":null,"title":""}],"sample_intervention_arms":{},"sex":{},"title":"Bioactive glycans in a microbiome-directed food for malnourished children","trial_population_condition":"malnutrition","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB45356","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB45356_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB45356.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB45356.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB45356.csv.gz"}},{"accession":"PRJEB74042","age_categories":{"unknown":931},"countries":{"US":931},"first_public_year":"2024","gbp_per_sample_median":5.15,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Personalised dietary programme (18-week app-based) vs standard USDA dietary advice","interventions":["diet_intervention"],"n_samples":931,"papers":[{"doi":"10.1038/s41591-024-02951-6","pmcid":"PMC11271409","pmid":"38714898","title":"Effects of a personalized nutrition program on cardiometabolic health: a randomized controlled trial."}],"sample_intervention_arms":{},"sex":{},"title":"METHOD","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB74042","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB74042_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB74042.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB74042.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB74042.csv.gz"}},{"accession":"PRJEB115008","age_categories":{"unknown":768},"countries":{"US":768},"first_public_year":"2026","gbp_per_sample_median":1.47,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"2-year lifestyle intervention: structured diet and exercise, varying intensity","interventions":["diet_intervention","exercise"],"n_samples":768,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"U19 - POINTER U.S. Study to Protect Brain Health through Lifestyle Intervention to Reduce Risk","trial_population_condition":"neurological_psychiatric","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB115008","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB115008_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB115008.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB115008.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB115008.csv.gz"}},{"accession":"PRJNA1123170","age_categories":{"infant":760},"countries":{"BD":760},"first_public_year":"2024","gbp_per_sample_median":2.14,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"malnutrition":760},"intervention_design":"randomized_controlled_trial","intervention_detail":"Microbiota-Directed Complementary Food vs ready-to-use supplementary food","interventions":["diet_intervention"],"n_samples":760,"papers":[{"doi":"10.1101/2024.06.11.24307076","pmcid":null,"pmid":null,"title":"A microbiome-directed therapeutic food for children recovering from severe acute malnutrition"},{"doi":"10.1126/scitranslmed.adn2366","pmcid":"PMC11572952","pmid":"39356745","title":"A microbiome-directed therapeutic food for children recovering from severe acute malnutrition."}],"sample_intervention_arms":{},"sex":{},"title":"A microbiota-directed therapeutic food for severely malnourished children evaluated following acute nutritional resuscitation","trial_population_condition":"malnutrition","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1123170","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1123170_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1123170.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1123170.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1123170.csv.gz"}},{"accession":"PRJEB64861","age_categories":{"adult":706},"countries":{"IL":706},"first_public_year":"2023","gbp_per_sample_median":0.91,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"type2_diabetes":706},"intervention_design":"randomized_controlled_trial","intervention_detail":"Six-month personalized postprandial glucose-targeting diet vs Mediterranean diet in pre-diabetics","interventions":["diet_intervention"],"n_samples":706,"papers":[{"doi":"10.1530/erp-15-0028","pmcid":"PMC5323868","pmid":"27249813","title":"An extracardiac unruptured right sinus of valsalva aneurysm complicated with atherothrombosis."},{"doi":"10.1038/s41467-023-41042-x","pmcid":"PMC10477304","pmid":"37666816","title":"Impact of dietary interventions on pre-diabetic oral and gut microbiome, metabolites and cytokines."},{"doi":"10.1186/s40168-026-02405-w","pmcid":"PMC13181886","pmid":"41952172","title":"Cross-body site microbial interactions influence the human plasma metabolome."}],"sample_intervention_arms":{"diet_intervention":702},"sex":{},"title":"Impact of dietary interventions on pre-diabetic oral and gut microbiome, metabolites and cytokines","trial_population_condition":"type2_diabetes","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB64861","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB64861_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB64861.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB64861.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB64861.csv.gz"}},{"accession":"PRJNA1201249","age_categories":{"adult":662},"countries":{"SG":662},"first_public_year":"2024","gbp_per_sample_median":7.93,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Calorie-restricted, legume-enriched diet vs calorie-restricted control diet","interventions":["diet_intervention"],"n_samples":662,"papers":[{"doi":"10.1038/s41467-025-56084-6","pmcid":"PMC11754483","pmid":"39843443","title":"A legume-enriched diet improves metabolic health in prediabetes mediated through gut microbiome: a randomized controlled trial."},{"doi":"10.1186/s40168-026-02405-w","pmcid":"PMC13181886","pmid":"41952172","title":"Cross-body site microbial interactions influence the human plasma metabolome."}],"sample_intervention_arms":{},"sex":{},"title":"Legume-enriched diet improves metabolic health in prediabetes partially mediated through gut microbiome: a randomized controlled trial","trial_population_condition":"type2_diabetes","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1201249","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1201249_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1201249.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1201249.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1201249.csv.gz"}},{"accession":"PRJNA1086951","age_categories":{"elderly":638},"countries":{"US":638},"first_public_year":"2025","gbp_per_sample_median":2.45,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":325,"intervention_cohort":313},"intervention_design":"randomized_controlled_trial","intervention_detail":"MIND diet vs control diet with caloric restriction, up to 3 years","interventions":["diet_intervention"],"n_samples":638,"papers":[{"doi":"10.1002/trc2.70239","pmcid":"PMC13060763","pmid":"41958469","title":"Weight loss and metabolic improvements dominate the microbiome response in the MIND diet intervention: a randomized controlled trial."}],"sample_intervention_arms":{"diet_intervention":312,"no_intervention":326},"sex":{"female":444,"male":194},"title":"MIND Study - Fecal Metagenomics","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1086951","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1086951_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1086951.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1086951.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1086951.csv.gz"}},{"accession":"PRJEB29065","age_categories":{"unknown":596},"countries":{"US":596},"first_public_year":"2019","gbp_per_sample_median":0.03,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":596},"intervention_design":"single_arm_before_after","intervention_detail":"Daily 24-hr food records; 2 subjects given monotonous meal-replacement beverage diet","interventions":["diet_intervention"],"n_samples":596,"papers":[{"doi":"10.7554/elife.83152","pmcid":"PMC10292843","pmid":"37158607","title":"Universal gut microbial relationships in the gut microbiome of wild baboons."},{"doi":"10.3389/fmicb.2021.673632","pmcid":"PMC8326577","pmid":"34349736","title":"Linking Inflammatory Bowel Disease Symptoms to Changes in the Gut Microbiome Structure and Function."}],"sample_intervention_arms":{},"sex":{},"title":"Daily sampling reveals personalized diet-microbiome associations","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB29065","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB29065_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB29065.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB29065.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB29065.csv.gz"}},{"accession":"PRJNA662107","age_categories":{"adult":522},"countries":{"US":522},"first_public_year":"2021","gbp_per_sample_median":2.29,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":522},"intervention_design":"single_arm_before_after","intervention_detail":"4-day controlled vegetarian diet intervention","interventions":["diet_intervention"],"n_samples":522,"papers":[{"doi":"10.1371/journal.pbio.3001758","pmcid":"PMC9397868","pmid":"35998206","title":"Individuality and ethnicity eclipse a short-term dietary intervention in shaping microbiomes and viromes."},{"doi":"10.1038/s41467-025-58856-6","pmcid":"PMC11986028","pmid":"40210629","title":"Characterization of the phyllosphere virome of fresh vegetables and potential transfer to the human gut."}],"sample_intervention_arms":{},"sex":{"female":522},"title":"human metagenome Raw sequence reads","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA662107","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA662107_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA662107.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA662107.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA662107.csv.gz"}},{"accession":"PRJNA675301","age_categories":{"adult":474},"countries":{"US":474},"first_public_year":"2020","gbp_per_sample_median":1.96,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"Vegan, omnivore, or fiber-free EEN diet with antibiotic microbiota depletion, longitudinal","interventions":["antibiotic","diet_intervention"],"n_samples":474,"papers":[{"doi":"10.1016/j.chom.2020.12.012","pmcid":"PMC8022197","pmid":"33440171","title":"Role of dietary fiber in the recovery of the human gut microbiome and its metabolome."},{"doi":"10.1016/j.cell.2023.06.010","pmcid":"PMC10421625","pmid":"37541197","title":"A widely distributed gene cluster compensates for uricase loss in hominids."},{"doi":"10.1172/jci174726","pmcid":"PMC11060737","pmid":"38512401","title":"Dietary carbohydrates regulate intestinal colonization and dissemination of Klebsiella pneumoniae."},{"doi":"10.1186/s13059-024-03453-x","pmcid":"PMC11657513","pmid":"39696594","title":"TEMPTED: time-informed dimensionality reduction for longitudinal microbiome studies."},{"doi":"10.1371/journal.pcbi.1014486","pmcid":"PMC13362426","pmid":"42406847","title":"Extracting host-specific developmental signatures from longitudinal microbiome data."}],"sample_intervention_arms":{"diet_intervention":434},"sex":{},"title":"Role of Diet in the Reconstitution of the Human Gut Microbiome and its Metabolome","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA675301","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA675301_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA675301.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA675301.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA675301.csv.gz"}},{"accession":"PRJEB81106","age_categories":{"unknown":450},"countries":{"DE":99,"IL":351},"first_public_year":"2024","gbp_per_sample_median":0.58,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"crohns_disease":23,"healthy_control":25,"ulcerative_colitis":146},"intervention_design":"unknown","intervention_detail":"","interventions":[],"n_samples":450,"papers":[{"doi":"10.1016/j.cell.2024.12.016","pmcid":null,"pmid":"39837331","title":"Metagenome-informed metaproteomics of the human gut microbiome, host, and dietary exposome uncovers signatures of health and inflammatory bowel disease."}],"sample_intervention_arms":{"diet_intervention":91,"fmt":47},"sex":{},"title":"Simultaneous metagenome-informed metaproteomics of the human gut microbiome, host and dietary exposome uncover functional interactomes in health & IBD","trial_population_condition":"ibd_unspecified","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB81106","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB81106_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB81106.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB81106.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB81106.csv.gz"}},{"accession":"PRJNA1258884","age_categories":{"adult":440},"countries":{"DE":440},"first_public_year":"2025","gbp_per_sample_median":6.89,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":440},"intervention_design":"crossover","intervention_detail":"Daily 250g yogurt; then yogurt + 50g rolled oats, 4 weeks each","interventions":["diet_intervention"],"n_samples":440,"papers":[{"doi":"10.1016/j.tjnut.2026.101408","pmcid":"PMC13084677","pmid":"41687784","title":"Impact of Yogurt and Rolled Oats Consumption on the Gut Microbiome: A Randomized Crossover Study Displaying Individual Responses and General Resilience."}],"sample_intervention_arms":{"no_intervention":220,"probiotic":110,"synbiotic":110},"sex":{"female":236,"male":204},"title":"Impact of Yogurt and Rolled Oats on the Gut Microbiome: A Randomized Crossover Study displaying Individual Responses and General Resilience","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1258884","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1258884_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1258884.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1258884.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1258884.csv.gz"}},{"accession":"PRJEB49206","age_categories":{"adolescent":34,"adult":180,"child":51,"infant":107,"neonate":14,"unknown":53},"countries":{"NP":56,"TZ":371,"US":12},"first_public_year":"2022","gbp_per_sample_median":19.06,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":439,"papers":[{"doi":"10.1126/science.aan4834","pmcid":"PMC5891123","pmid":"28839072","title":"Seasonal cycling in the gut microbiome of the Hadza hunter-gatherers of Tanzania."},{"doi":"10.1038/s41587-024-02412-y","pmcid":"PMC12339375","pmid":"39379646","title":"Rapid species-level metagenome profiling and containment estimation with sylph."},{"doi":"10.1128/mbio.02989-24","pmcid":"PMC11980382","pmid":"40062772","title":"The physical biogeography of Fusobacterium nucleatum in health and disease."},{"doi":"10.1186/s40168-025-02240-5","pmcid":"PMC12659530","pmid":"41299634","title":"Functional archetypes in the human gut microbiome reveal metabolic diversity, stability, and influence disease-associated signatures."},{"doi":"10.1126/science.ady2886","pmcid":"PMC13626140","pmid":"42691172","title":"Early-life colonization with Clostridioides difficile remodels the developing gut."}],"sample_intervention_arms":{"diet_intervention":11},"sex":{"female":205,"male":193},"title":"Extensive microbial novelty in the Hadza and Nepali gut microbiome reveals how lifestyle impacts composition and function","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB49206","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB49206_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB49206.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB49206.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB49206.csv.gz"}},{"accession":"PRJNA1505569","age_categories":{"adult":438},"countries":{"US":438},"first_public_year":"2026","gbp_per_sample_median":1.96,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"type2_diabetes":438},"intervention_design":"crossover","intervention_detail":"DASH-style diet vs typical US diet, 5-week feeding periods","interventions":["diet_intervention"],"n_samples":438,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"A DASH diet increases microbiome diversity, butyrate production, and circulating acetate in persons with type 2 diabetes: Results from the DASH4D randomized feeding trial","trial_population_condition":"type2_diabetes","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1505569","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1505569_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1505569.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1505569.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1505569.csv.gz"}},{"accession":"PRJEB56830","age_categories":{"unknown":430},"countries":{"FR":173,"NL":257},"first_public_year":"2024","gbp_per_sample_median":6.19,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"type2_diabetes":430},"intervention_design":"randomized_controlled_trial","intervention_detail":"High-protein vs low-protein isocaloric diet, 12 weeks","interventions":["diet_intervention"],"n_samples":430,"papers":[{"doi":"10.1016/j.isci.2023.107471","pmcid":"PMC10432813","pmid":"37599833","title":"Protein supplementation changes gut microbial diversity and derived metabolites in subjects with type 2 diabetes."}],"sample_intervention_arms":{"diet_intervention":288,"no_intervention":142},"sex":{},"title":"Isocaloric dietary protein intervention","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB56830","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB56830_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB56830.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB56830.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB56830.csv.gz"}},{"accession":"PRJNA642308","age_categories":{"adolescent":13,"adult":368,"elderly":28},"countries":{"US":409},"first_public_year":"2021","gbp_per_sample_median":0.25,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"ibd_unspecified":409},"intervention_design":"single_arm_before_after","intervention_detail":"IBD Anti-Inflammatory Diet (IBD-AID), pre-post single-arm trial","interventions":["diet_intervention"],"n_samples":409,"papers":[{"doi":"10.1080/19490976.2022.2046244","pmcid":"PMC8942410","pmid":"35311458","title":"Dietary manipulation of the gut microbiome in inflammatory bowel disease patients: Pilot study."},{"doi":"10.1186/s40168-023-01604-z","pmcid":"PMC10408196","pmid":"37553697","title":"Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions."}],"sample_intervention_arms":{},"sex":{"female":226,"male":183},"title":"Gut microbiome of subjects with inflammatory bowel disease undergoing diet intervention","trial_population_condition":"ibd_unspecified","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA642308","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA642308_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA642308.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA642308.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA642308.csv.gz"}},{"accession":"PRJNA904651","age_categories":{"adult":408},"countries":{"NO":408},"first_public_year":"2025","gbp_per_sample_median":8.53,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"obesity":408},"intervention_design":"non_randomized_controlled","intervention_detail":"Gastric bypass surgery vs very low energy diet (VLED)","interventions":["diet_intervention","surgery"],"n_samples":408,"papers":[{"doi":"10.1016/j.mucimm.2025.04.002","pmcid":null,"pmid":"40222615","title":"A multi-omics microbiome signature is associated with the benefits of gastric bypass surgery and is differentiated from diet induced weight loss through 2 years of follow-up."}],"sample_intervention_arms":{"diet_intervention":146,"no_intervention":139,"surgery":123},"sex":{},"title":"Multiomic analysis of microbiome and host identifies features differentiating diet and surgical induced weight loss","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA904651","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA904651_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA904651.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA904651.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA904651.csv.gz"}},{"accession":"PRJNA1380750","age_categories":{"adult":399},"countries":{"CN":399},"first_public_year":"2026","gbp_per_sample_median":7.41,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"crossover","intervention_detail":"Crossover rice vs wheat staple diet, strict dietary standardization","interventions":["diet_intervention"],"n_samples":399,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Fecal samples collected from healthy human male adults for a dietary intervention study. Samples contain host (Homo sapiens) genomic material alongside the complex and diverse gut microbiome. Metagenome","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1380750","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1380750_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1380750.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1380750.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1380750.csv.gz"}},{"accession":"PRJNA1445932","age_categories":{"infant":398},"countries":{"IN":398},"first_public_year":"2026","gbp_per_sample_median":10.19,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"9-month daily iron/zinc-biofortified pearl millet feeding vs control pearl millet","interventions":["diet_intervention"],"n_samples":398,"papers":[{"doi":"10.1038/s41467-026-75674-6","pmcid":"PMC13527057","pmid":"42669658","title":"Effect of a complementary feeding intervention based on iron- and zinc-biofortified pearl millet on the gut microbiota in 12-18-month-old children: a randomized trial."}],"sample_intervention_arms":{},"sex":{},"title":"Effect of a complementary feeding intervention on the gut microbiota in 12-18-month- old children","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1445932","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1445932_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1445932.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1445932.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1445932.csv.gz"}},{"accession":"PRJEB56264","age_categories":{"adult":380},"countries":{"IE":380},"first_public_year":"2022","gbp_per_sample_median":0.3,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":380},"intervention_design":"randomized_controlled_trial","intervention_detail":"Psychobiotic diet (high prebiotic/fermented foods) vs control diet for 4 weeks","interventions":["diet_intervention"],"n_samples":380,"papers":[{"doi":"10.1038/s41380-022-01817-y","pmcid":"PMC9908549","pmid":"36289300","title":"Feed your microbes to deal with stress: a psychobiotic diet impacts microbial stability and perceived stress in a healthy adult population."}],"sample_intervention_arms":{"no_intervention":176},"sex":{},"title":"Psychobiotic Diet Study","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB56264","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB56264_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB56264.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB56264.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB56264.csv.gz"}},{"accession":"PRJNA728374","age_categories":{"adult":312,"elderly":66},"countries":{"SG":378},"first_public_year":"2022","gbp_per_sample_median":1.24,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"cardiometabolic_other":378},"intervention_design":"unknown","intervention_detail":"","interventions":[],"n_samples":378,"papers":[{"doi":"10.1038/s41522-022-00287-y","pmcid":"PMC9001705","pmid":"35411007","title":"Gut microbiome responses to dietary intervention with hypocholesterolemic vegetable oils."},{"doi":"10.1038/s41522-022-00342-8","pmcid":"PMC9547895","pmid":"36209276","title":"The hallmarks of dietary intervention-resilient gut microbiome."}],"sample_intervention_arms":{"diet_intervention":378},"sex":{"female":195,"male":183},"title":"Gut microbiome responses to dietary intervention with hypocholesterolemic vegetable oils.","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA728374","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA728374_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA728374.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA728374.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA728374.csv.gz"}},{"accession":"SRP057027","age_categories":{"child":369},"countries":{},"first_public_year":"2015","gbp_per_sample_median":2.08,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"crohns_disease":351,"healthy_control":18},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":369,"papers":[{"doi":"10.1126/scitranslmed.aah6888","pmcid":"PMC5808452","pmid":"29141885","title":"A role for bacterial urease in gut dysbiosis and Crohn's disease."},{"doi":"10.1038/s41540-018-0063-2","pmcid":"PMC6068170","pmid":"30083388","title":"From metagenomic data to personalized in silico microbiotas: predicting dietary supplements for Crohn's disease."},{"doi":"10.1038/s41592-018-0182-0","pmcid":"PMC6289653","pmid":"30420687","title":"Quantifying and comparing bacterial growth dynamics in multiple metagenomic samples."},{"doi":"10.1038/s41579-019-0213-6","pmcid":"PMC6759048","pmid":"31249397","title":"Microbial genes and pathways in inflammatory bowel disease."},{"doi":"10.1186/s40168-019-0722-6","pmcid":"PMC6670193","pmid":"31370880","title":"Clustering co-abundant genes identifies components of the gut microbiome that are reproducibly associated with colorectal cancer and inflammatory bowel disease."}],"sample_intervention_arms":{"diet_intervention":143,"drug_therapy":200},"sex":{},"title":"Inflammation, Antibiotics, and Diet as Concurrent Environmental Stressors of the Gut Microbiome in Pediatric Crohn's Disease","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/SRP057027","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/SRP057027_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/SRP057027.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/SRP057027.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/SRP057027.csv.gz"}},{"accession":"PRJNA854889","age_categories":{"adult":339},"countries":{"US":339},"first_public_year":"2024","gbp_per_sample_median":1.92,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"crohns_disease":339},"intervention_design":"randomized_controlled_trial","intervention_detail":"Specific Carbohydrate Diet vs Mediterranean Diet, 12 weeks","interventions":["diet_intervention"],"n_samples":339,"papers":[{"doi":"10.1053/j.gastro.2021.05.047","pmcid":"PMC8396394","pmid":"34052278","title":"A Randomized Trial Comparing the Specific Carbohydrate Diet to a Mediterranean Diet in Adults With Crohn's Disease."}],"sample_intervention_arms":{"diet_intervention":313},"sex":{},"title":"A Randomized Trial Comparing the Specific Carbohydrate Diet to a Mediterranean Diet in Adults With Crohn's Disease","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA854889","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA854889_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA854889.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA854889.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA854889.csv.gz"}},{"accession":"PRJEB19857","age_categories":{"adult":319},"countries":{"GB":319},"first_public_year":"2021","gbp_per_sample_median":3.77,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"non_randomized_controlled","intervention_detail":"Low FODMAP diet in IBS patients vs household controls, before/during/after","interventions":["diet_intervention"],"n_samples":319,"papers":[{"doi":"10.1136/gutjnl-2021-325177","pmcid":"PMC9380505","pmid":"34810234","title":"Two microbiota subtypes identified in irritable bowel syndrome with distinct responses to the low FODMAP diet."},{"doi":"10.1016/j.ebiom.2024.105282","pmcid":"PMC11388012","pmid":"39173527","title":"Microbiome-driven IBS metabotypes influence response to the low FODMAP diet: insights from the faecal volatome."},{"doi":"10.1038/s41467-022-34405-3","pmcid":"PMC9649010","pmid":"36357393","title":"Faecal microbiome-based machine learning for multi-class disease diagnosis."},{"doi":"10.3390/microorganisms11102560","pmcid":"PMC10609127","pmid":"37894218","title":"A Pipeline for Constructing Reference Genomes for Large Cohort-Specific Metagenome Compression."},{"doi":"10.1002/advs.202308313","pmcid":"PMC11538712","pmid":"39243395","title":"Cross-Cohort Gut Microbiome Signatures of Irritable Bowel Syndrome Presentation and Treatment."}],"sample_intervention_arms":{},"sex":{},"title":"IBS_microbiota","trial_population_condition":"ibs","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB19857","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB19857_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB19857.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB19857.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB19857.csv.gz"}},{"accession":"PRJNA1134897","age_categories":{"unknown":300},"countries":{"CN":300},"first_public_year":"2025","gbp_per_sample_median":11.41,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":300},"intervention_design":"randomized_controlled_trial","intervention_detail":"30-day yogurt diet, normal vs probiotic yogurt with Probio-M8","interventions":["diet_intervention","probiotic"],"n_samples":300,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Enhancing Human Health Through Yogurt-Based Dietary Strategies: A Multi-Omics Investigation of Gut Microbiome Dynamics","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1134897","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1134897_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1134897.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1134897.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1134897.csv.gz"}},{"accession":"PRJEB66719","age_categories":{"adult":292},"countries":{"TW":292},"first_public_year":"2023","gbp_per_sample_median":10.14,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"cardiometabolic_other":113,"healthy_control":179},"intervention_design":"non_randomized_controlled","intervention_detail":"Oral L-carnitine challenge test; plant-based diet comparison","interventions":["diet_intervention","dietary_supplement"],"n_samples":292,"papers":[{"doi":"10.1080/19490976.2024.2446374","pmcid":"PMC12026204","pmid":"39722590","title":"Gut microbes with the &lt;i&gt;gbu&lt;/i&gt; genes determine TMAO production from L-carnitine intake and serve as a biomarker for precision nutrition."},{"doi":"10.1101/2025.06.16.659887","pmcid":null,"pmid":null,"title":"Biome-specific genome catalogues reveal functional potential of shallow sequencing"}],"sample_intervention_arms":{"diet_intervention":63},"sex":{},"title":"Fecal bbu genes predict L-carnitine-mediated TMAO production","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB66719","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB66719_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB66719.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB66719.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB66719.csv.gz"}},{"accession":"PRJNA1241852","age_categories":{"unknown":282},"countries":{"US":282},"first_public_year":"2026","gbp_per_sample_median":7.0,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"other_cancer":282},"intervention_design":"randomized_controlled_trial","intervention_detail":"Dietary intervention in melanoma patients, incl. immunotherapy recipients","interventions":["diet_intervention"],"n_samples":282,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"dietary intervention trial in patients with melanoma","trial_population_condition":"other_cancer","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1241852","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1241852_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1241852.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1241852.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1241852.csv.gz"}},{"accession":"PRJNA1337562","age_categories":{"child":270},"countries":{"CN":270},"first_public_year":"2026","gbp_per_sample_median":6.52,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":50,"obesity":220},"intervention_design":"randomized_controlled_trial","intervention_detail":"Bifidobacterium animalis ProSci-246 probiotic vs placebo plus dietary guidance, 3 months, obese children","interventions":["diet_intervention","probiotic"],"n_samples":270,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Effects of Probiotic and Dietary Interventions on Gut Microbiota and Weight Loss in Obese Children","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1337562","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1337562_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1337562.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1337562.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1337562.csv.gz"}},{"accession":"PRJNA1344899","age_categories":{"child":263},"countries":{"CN":263},"first_public_year":"2026","gbp_per_sample_median":6.5,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":50,"obesity":213},"intervention_design":"randomized_controlled_trial","intervention_detail":"Bifidobacterium lactis ProSci-246 probiotic + dietary guidance, 3 months vs placebo","interventions":["diet_intervention","probiotic"],"n_samples":263,"papers":[],"sample_intervention_arms":{"no_intervention":68,"placebo":98,"probiotic":97},"sex":{},"title":"Effects of Probiotic and Dietary lnterventions on Gut Microbiota and Weight Loss in obese children","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1344899","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1344899_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1344899.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1344899.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1344899.csv.gz"}},{"accession":"PRJNA1212336","age_categories":{"adult":253},"countries":{"IT":253},"first_public_year":"2025","gbp_per_sample_median":10.58,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":253},"intervention_design":"randomized_controlled_trial","intervention_detail":"Pulses-enriched vs pulses+meat-surrogate vs habitual diet, randomized","interventions":["diet_intervention"],"n_samples":253,"papers":[],"sample_intervention_arms":{"diet_intervention":169,"no_intervention":84},"sex":{},"title":"The effects of pulses proteins on the gut metagenome","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1212336","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1212336_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1212336.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1212336.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1212336.csv.gz"}},{"accession":"PRJNA703757","age_categories":{"unknown":252},"countries":{"CN":252},"first_public_year":"2022","gbp_per_sample_median":6.17,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"other_disease":252},"intervention_design":"randomized_controlled_trial","intervention_detail":"Resistant starch supplementation vs placebo, 16 weeks, in NAFLD patients","interventions":["prebiotic_or_fibre"],"n_samples":252,"papers":[{"doi":"10.1016/j.cmet.2023.08.002","pmcid":null,"pmid":"37673036","title":"Resistant starch decreases intrahepatic triglycerides in patients with NAFLD via gut microbiome alterations"},{"doi":"10.1126/scitranslmed.abk0855","pmcid":"PMC9746350","pmid":"35675435","title":"Risk assessment with gut microbiome and metabolite markers in NAFLD development."},{"doi":"10.1186/s40168-023-01604-z","pmcid":"PMC10408196","pmid":"37553697","title":"Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions."},{"doi":"10.1186/s40168-024-01990-y","pmcid":"PMC11730835","pmid":"39810263","title":"Discovery of robust and highly specific microbiome signatures of non-alcoholic fatty liver disease."}],"sample_intervention_arms":{"diet_intervention":8,"no_intervention":100,"placebo":50,"prebiotic_or_fibre":49},"sex":{},"title":"Human gut microbiota raw sequence reads from resistant starch intervention project in patients with NAFLD","trial_population_condition":"liver_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA703757","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA703757_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA703757.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA703757.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA703757.csv.gz"}},{"accession":"PRJEB33500","age_categories":{"adult":241,"elderly":3},"countries":{"IT":244},"first_public_year":"2020","gbp_per_sample_median":3.12,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"obesity":244},"intervention_design":"randomized_controlled_trial","intervention_detail":"Personalized isocaloric Mediterranean diet, 8 weeks, vs habitual diet control","interventions":["diet_intervention"],"n_samples":244,"papers":[{"doi":"10.1136/gutjnl-2019-320438","pmcid":"PMC7306983","pmid":"32075887","title":"Mediterranean diet intervention in overweight and obese subjects lowers plasma cholesterol and causes changes in the gut microbiome and metabolome independently of energy intake."},{"doi":"10.1007/s00394-021-02538-8","pmcid":"PMC8437855","pmid":"33763720","title":"Mediterranean diet consumption affects the endocannabinoid system in overweight and obese subjects: possible links with gut microbiome, insulin resistance and inflammation."},{"doi":"10.3390/life11111246","pmcid":"PMC8620312","pmid":"34833122","title":"Lacticaseibacillus paracasei: Occurrence in the Human Gut Microbiota and K-Mer-Based Assessment of Intraspecies Diversity."},{"doi":"10.1038/s41467-022-34405-3","pmcid":"PMC9649010","pmid":"36357393","title":"Faecal microbiome-based machine learning for multi-class disease diagnosis."},{"doi":"10.1186/s40168-023-01667-y","pmcid":"PMC10588041","pmid":"37858269","title":"Four functional profiles for fibre and mucin metabolism in the human gut microbiome."}],"sample_intervention_arms":{"diet_intervention":85,"no_intervention":159},"sex":{"female":128,"male":116},"title":"Mediterranean diet intervention in overweight and obese subjects leads to multiple beneficial shifts in gut microbiome and metabolome independently from energy intake","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB33500","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB33500_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB33500.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB33500.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB33500.csv.gz"}},{"accession":"PRJNA1042675","age_categories":{"adult":243},"countries":{},"first_public_year":"2026","gbp_per_sample_median":8.36,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"obesity":243},"intervention_design":"randomized_controlled_trial","intervention_detail":"8-week Mediterranean Diet-based superfood supplement vs placebo","interventions":["diet_intervention","dietary_supplement"],"n_samples":243,"papers":[],"sample_intervention_arms":{"diet_intervention":60,"no_intervention":122,"placebo":61},"sex":{"female":111,"male":132},"title":"gut microbiome of overweight subjects treated with a Mediterranean Diet supplement","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1042675","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1042675_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1042675.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1042675.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1042675.csv.gz"}},{"accession":"PRJEB74035","age_categories":{"unknown":241},"countries":{"DE":241},"first_public_year":"2025","gbp_per_sample_median":3.43,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"","interventions":[],"n_samples":241,"papers":[{"doi":"10.1101/2024.04.19.590209","pmcid":null,"pmid":null,"title":"Long-term fasting remodels gut microbial metabolism and host metabolism"}],"sample_intervention_arms":{"diet_intervention":151,"no_intervention":89},"sex":{},"title":"Long-term fasting remodels gut microbial metabolism and host metabolism","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB74035","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB74035_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB74035.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB74035.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB74035.csv.gz"}},{"accession":"PRJEB66487","age_categories":{"infant":225},"countries":{"BD":225},"first_public_year":"2024","gbp_per_sample_median":0.0,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"malnutrition":225},"intervention_design":"randomized_controlled_trial","intervention_detail":"Microbiota-directed complementary food (MDCF-2) vs standard RUSF, 3-month RCT, 2-year follow-up","interventions":["diet_intervention"],"n_samples":225,"papers":[{"doi":"10.1016/j.ebiom.2024.105166","pmcid":"PMC11179573","pmid":"38833839","title":"A microbiota-directed complementary food intervention in 12-18-month-old Bangladeshi children improves linear growth."}],"sample_intervention_arms":{},"sex":{},"title":"A microbiota-directed complementary food intervention improves stunting in undernourished Bangladeshi children","trial_population_condition":"malnutrition","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB66487","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB66487_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB66487.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB66487.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB66487.csv.gz"}},{"accession":"PRJEB121516","age_categories":{"adult":222},"countries":{"TZ":222},"first_public_year":"2026","gbp_per_sample_median":6.55,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"non_randomized_controlled","intervention_detail":"Traditional fermented beer and processed/traditional diet exposures","interventions":["diet_intervention"],"n_samples":222,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Reversing westernized diet effects: A Tanzanian dietary intervention with traditional fermented beer.","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB121516","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB121516_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB121516.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB121516.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB121516.csv.gz"}},{"accession":"PRJEB15179","age_categories":{"adult":220},"countries":{"CN":220},"first_public_year":"2018","gbp_per_sample_median":15.01,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"type2_diabetes":220},"intervention_design":"randomized_controlled_trial","intervention_detail":"WTP diet vs usual care in T2D patients","interventions":["diet_intervention"],"n_samples":220,"papers":[{"doi":"10.1186/s40168-023-01604-z","pmcid":"PMC10408196","pmid":"37553697","title":"Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions."},{"doi":"10.1002/imt2.20","pmcid":"PMC10989819","pmid":"38868565","title":"A neural network-based framework to understand the type 2 diabetes-related alteration of the human gut microbiome."}],"sample_intervention_arms":{"diet_intervention":148,"no_intervention":72},"sex":{},"title":"Using WTP diet to modulate gut microbiota to alleviate human type 2 diabetes","trial_population_condition":"type2_diabetes","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB15179","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB15179_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB15179.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB15179.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB15179.csv.gz"}},{"accession":"PRJNA1132291","age_categories":{"adult":211},"countries":{},"first_public_year":"2025","gbp_per_sample_median":1.54,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":211},"intervention_design":"crossover","intervention_detail":"High-glycemic load vs low-glycemic load controlled feeding diets, 28 days each, crossover","interventions":["diet_intervention"],"n_samples":211,"papers":[{"doi":"10.1016/j.ajcnut.2025.06.026","pmcid":"PMC12489384","pmid":"40619005","title":"Metabolic plasticity of the gut microbiome in response to diets differing in glycemic load in a randomized, crossover, controlled feeding study."}],"sample_intervention_arms":{},"sex":{},"title":"Human and Bacterial Molecular Pathways in Cancer Risk: Modulation by diet","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1132291","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1132291_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1132291.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1132291.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1132291.csv.gz"}},{"accession":"PRJNA433058","age_categories":{"adult":211},"countries":{"CN":211},"first_public_year":"2019","gbp_per_sample_median":6.18,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":211},"intervention_design":"single_arm_before_after","intervention_detail":"7-day medically supervised water-only fasting, 46 obese volunteers","interventions":["diet_intervention"],"n_samples":211,"papers":[{"doi":"10.3389/fmicb.2023.1265425","pmcid":"PMC10579591","pmid":"37854337","title":"Dynamics and ecological reassembly of the human gut microbiome and the host metabolome in response to prolonged fasting."}],"sample_intervention_arms":{},"sex":{},"title":"human gut metagenome Metagenome","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA433058","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA433058_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA433058.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA433058.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA433058.csv.gz"}},{"accession":"PRJNA491335","age_categories":{"adult":200,"elderly":8},"countries":{"DK":208},"first_public_year":"2018","gbp_per_sample_median":7.08,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":208},"intervention_design":"crossover","intervention_detail":"Low-gluten (2g/day) vs high-gluten (18g/day) diet, 8-week periods","interventions":["diet_intervention"],"n_samples":208,"papers":[{"doi":"10.1038/s41467-018-07019-x","pmcid":"PMC6234216","pmid":"30425247","title":"A low-gluten diet induces changes in the intestinal microbiome of healthy Danish adults."},{"doi":"10.1038/s41598-020-76097-z","pmcid":"PMC7674420","pmid":"33208769","title":"Data integration for prediction of weight loss in randomized controlled dietary trials."},{"doi":"10.1038/s43587-022-00306-9","pmcid":"PMC10154212","pmid":"37118093","title":"Toward an improved definition of a healthy microbiome for healthy aging."},{"doi":"10.1038/s41467-023-44636-7","pmcid":"PMC10770139","pmid":"38182626","title":"Functional host-specific adaptation of the intestinal microbiome in hominids."},{"doi":"10.1038/s41522-026-00935-7","pmcid":"PMC13039869","pmid":"41730870","title":"pH regulates gut bacterial tryptophan metabolism."}],"sample_intervention_arms":{"diet_intervention":101,"no_intervention":107},"sex":{"female":116,"male":92},"title":"3G low-gluten cross-over trial - faeces metagenome data","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA491335","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA491335_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA491335.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA491335.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA491335.csv.gz"}},{"accession":"PRJEB76236","age_categories":{"elderly":200},"countries":{"IT":200},"first_public_year":"2024","gbp_per_sample_median":0.85,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{},"intervention_design":"crossover","intervention_detail":"Polyphenol-rich diet vs control diet, 8 weeks","interventions":["diet_intervention"],"n_samples":200,"papers":[{"doi":"10.20517/mrr.2025.33","pmcid":"PMC12702650","pmid":"41403880","title":"Effect of a polyphenol-rich dietary pattern on subjects aged ≥ 60 years with higher levels of inflammatory markers: insights into microbiome and metabolome."}],"sample_intervention_arms":{"diet_intervention":72,"no_intervention":100},"sex":{},"title":"MaPLE insights into microbiome and metabolome.","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB76236","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB76236_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB76236.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB76236.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB76236.csv.gz"}},{"accession":"PRJNA988962","age_categories":{"adult":186},"countries":{"CN":186},"first_public_year":"2024","gbp_per_sample_median":9.8,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":186},"intervention_design":"single_arm_before_after","intervention_detail":"12-month time-restricted eating (TRE) program in obese adults","interventions":["diet_intervention"],"n_samples":186,"papers":[{"doi":"10.1016/j.isci.2024.110202","pmcid":"PMC11238135","pmid":"38993674","title":"Effect of time-restricted eating regimen on weight loss is mediated by gut microbiome."}],"sample_intervention_arms":{},"sex":{},"title":"human-gut Metagenome","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA988962","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA988962_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA988962.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA988962.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA988962.csv.gz"}},{"accession":"PRJEB75353","age_categories":{"adult":185},"countries":{"DE":185},"first_public_year":"2024","gbp_per_sample_median":3.42,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":185},"intervention_design":"randomized_controlled_trial","intervention_detail":"5-day hypocaloric (~600 kcal/day) ketogenic modified fasting program","interventions":["diet_intervention"],"n_samples":185,"papers":[{"doi":"10.1186/s13073-026-01681-3","pmcid":"PMC13227866","pmid":"42226305","title":"Health benefits of a five-day at-home modified fasting program: a randomised controlled trial"}],"sample_intervention_arms":{"diet_intervention":93,"no_intervention":92},"sex":{},"title":"Effects of a five-day hypocaloric and ketogenic diet on risk factors for cardiometabolic disease","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB75353","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB75353_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB75353.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB75353.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB75353.csv.gz"}},{"accession":"PRJNA395744","age_categories":{"unknown":185},"countries":{"DK":185},"first_public_year":"2017","gbp_per_sample_median":7.25,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":170},"intervention_design":"crossover","intervention_detail":"Whole-grain rich diet cross-over feeding study","interventions":["diet_intervention"],"n_samples":185,"papers":[{"doi":"10.1038/s41598-020-76097-z","pmcid":"PMC7674420","pmid":"33208769","title":"Data integration for prediction of weight loss in randomized controlled dietary trials."},{"doi":"10.1186/s40168-023-01604-z","pmcid":"PMC10408196","pmid":"37553697","title":"Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions."},{"doi":"10.1038/s41522-026-00935-7","pmcid":"PMC13039869","pmid":"41730870","title":"pH regulates gut bacterial tryptophan metabolism."}],"sample_intervention_arms":{},"sex":{},"title":"Whole-Grain rich diet cross-over study","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA395744","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA395744_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA395744.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA395744.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA395744.csv.gz"}},{"accession":"PRJEB87701","age_categories":{"unknown":183},"countries":{"ES":183},"first_public_year":"2025","gbp_per_sample_median":6.77,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":183},"intervention_design":"single_arm_before_after","intervention_detail":"weight loss nutritional intervention, 1 month, overweight/obese","interventions":["diet_intervention"],"n_samples":183,"papers":[{"doi":"10.1093/database/baad049","pmcid":"PMC10354505","pmid":"37465917","title":"AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence."},{"doi":"10.1038/s41467-026-72588-1","pmcid":"PMC13172010","pmid":"42129189","title":"Network topology of the gut microbiome associates with metabolic health in obesity."}],"sample_intervention_arms":{},"sex":{},"title":"AI4Food: a feasibility study for the implementation of automated devices in the nutritional advice and follow up","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB87701","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB87701_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB87701.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB87701.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB87701.csv.gz"}},{"accession":"PRJNA1308307","age_categories":{"unknown":179},"countries":{"DK":179},"first_public_year":"2026","gbp_per_sample_median":10.99,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":179},"intervention_design":"single_arm_before_after","intervention_detail":"400 g/day whole milk consumption for one month","interventions":["diet_intervention"],"n_samples":179,"papers":[{"doi":"10.3390/nu18040563","pmcid":"PMC12943088","pmid":"41754080","title":"Associations Between Gut Microbiome Enterotypes and Body Weight Change During Whole Milk Consumption."}],"sample_intervention_arms":{},"sex":{},"title":"FerMets Metagenome","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1308307","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1308307_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1308307.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1308307.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1308307.csv.gz"}},{"accession":"PRJEB49147","age_categories":{"adult":173},"countries":{"IL":173},"first_public_year":"2022","gbp_per_sample_median":4.17,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":173},"intervention_design":"randomized_controlled_trial","intervention_detail":"MED/Green-MED diet, walnuts, Mankai/green tea; later autologous FMT capsules","interventions":["diet_intervention","dietary_supplement","fmt"],"n_samples":173,"papers":[{"doi":"10.1186/s13073-022-01015-z","pmcid":"PMC8908597","pmid":"35264213","title":"The effects of the Green-Mediterranean diet on cardiometabolic health are linked to gut microbiome modifications: a randomized controlled trial."},{"doi":"10.1080/19490976.2023.2264457","pmcid":"PMC10557561","pmid":"37796016","title":"Successful weight regain attenuation by autologous fecal microbiota transplantation is associated with non-core gut microbiota changes during weight loss; randomized controlled trial."}],"sample_intervention_arms":{},"sex":{},"title":"DIRECT PLUS 6-month Shotgun Metagenomics data","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB49147","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB49147_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB49147.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB49147.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB49147.csv.gz"}},{"accession":"PRJNA770295","age_categories":{"adult":83,"elderly":84},"countries":{"US":167},"first_public_year":"2021","gbp_per_sample_median":2.62,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"other_cancer":167},"intervention_design":"observational_with_procedure","intervention_detail":"Observed dietary fiber/probiotic use; preclinical low-fiber diet/probiotic feeding in mice","interventions":["diet_intervention","probiotic"],"n_samples":167,"papers":[{"doi":"10.1126/science.aaz7015","pmcid":"PMC8970537","pmid":"34941392","title":"Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response."},{"doi":"10.1128/msystems.01023-22","pmcid":"PMC10134792","pmid":"36809182","title":"Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy."},{"doi":"10.1038/s41467-023-42997-7","pmcid":"PMC10654443","pmid":"37973916","title":"Gut microbial structural variation associates with immune checkpoint inhibitor response."},{"doi":"10.1038/s41591-024-02803-3","pmcid":"PMC10957474","pmid":"38365950","title":"Longitudinal gut microbiome changes in immune checkpoint blockade-treated advanced melanoma."},{"doi":"10.26508/lsa.202302480","pmcid":"PMC10917649","pmid":"38448159","title":"Systemic metabolic depletion of gut microbiome undermines responsiveness to melanoma immunotherapy."}],"sample_intervention_arms":{},"sex":{"female":58,"male":109},"title":"Dietary fiber and probiotics impact the gut microbiome and melanoma immunotherapy response","trial_population_condition":"other_cancer","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA770295","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA770295_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA770295.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA770295.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA770295.csv.gz"}},{"accession":"PRJNA1372133","age_categories":{"unknown":162},"countries":{"US":162},"first_public_year":"2026","gbp_per_sample_median":9.23,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"crossover","intervention_detail":"Randomized crossover beef consumption dietary trial","interventions":["diet_intervention"],"n_samples":162,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Metagenomic sequencing of fecal and beef samples Raw sequence reads","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1372133","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1372133_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1372133.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1372133.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1372133.csv.gz"}},{"accession":"PRJNA412411","age_categories":{"adult":161},"countries":{"DE":161},"first_public_year":"2018","gbp_per_sample_median":11.49,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"obesity":161},"intervention_design":"single_arm_before_after","intervention_detail":"Very-low-calorie diet, longitudinal before/after sampling","interventions":["diet_intervention"],"n_samples":161,"papers":[{"doi":"10.1038/s41586-021-03663-4","pmcid":"PMC8959578","pmid":"34163067","title":"Caloric restriction disrupts the microbiota and colonization resistance."}],"sample_intervention_arms":{"diet_intervention":81,"no_intervention":79},"sex":{"female":161},"title":"Diet-induced perturbations to the human gut microbiome","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA412411","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA412411_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA412411.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA412411.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA412411.csv.gz"}},{"accession":"PRJEB36898","age_categories":{"adult":160},"countries":{"DK":160},"first_public_year":"2020","gbp_per_sample_median":22.32,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"obesity":160},"intervention_design":"randomized_controlled_trial","intervention_detail":"10g inulin+10g resistant maltodextrin vs placebo, with -500kcal/day diet, 12 weeks","interventions":["diet_intervention","prebiotic_or_fibre"],"n_samples":160,"papers":[{"doi":"10.1002/mnfr.202000996","pmcid":null,"pmid":"33629506","title":"Sex, Food, and the Gut Microbiota: Disparate Response to Caloric Restriction Diet with Fiber Supplementation in Women and Men."}],"sample_intervention_arms":{"placebo":82,"prebiotic_or_fibre":78},"sex":{},"title":"Multi-omics analysis on overweight subjects under a caloric restriction intervention with fibre supplementation and placebo-controlled.","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB36898","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB36898_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB36898.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB36898.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB36898.csv.gz"}},{"accession":"PRJEB48663","age_categories":{"adult":152,"elderly":4},"countries":{"FR":156},"first_public_year":"2021","gbp_per_sample_median":3.09,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"cardiometabolic_other":156},"intervention_design":"crossover","intervention_detail":"Daily 150g bread: standard (5.55g fiber) vs 7-fiber-enriched (16.05g fiber), 8-week crossover","interventions":["diet_intervention","prebiotic_or_fibre"],"n_samples":156,"papers":[{"doi":"10.1080/19490976.2022.2044722","pmcid":"PMC8942430","pmid":"35311446","title":"Increasing the diversity of dietary fibers in a daily-consumed bread modifies gut microbiota and metabolic profile in subjects at cardiometabolic risk."}],"sample_intervention_arms":{"no_intervention":78,"prebiotic_or_fibre":78},"sex":{"female":88,"male":68},"title":"Increasing the diversity of dietary fibres in a daily-consumed bread modifies gut microbiota and metabolic profile in subjects at cardiometabolic risk","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB48663","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB48663_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB48663.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB48663.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB48663.csv.gz"}},{"accession":"PRJNA1262070","age_categories":{"unknown":156},"countries":{"US":156},"first_public_year":"2025","gbp_per_sample_median":0.88,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"unknown","intervention_detail":"Arivale wellness program; diet/lifestyle cohort sampled for fiber intake modeling","interventions":["diet_intervention"],"n_samples":156,"papers":[{"doi":"10.1371/journal.pbio.3003638","pmcid":"PMC12919772","pmid":"41712536","title":"Metabolic modeling reveals determinants of prebiotic and probiotic treatment efficacy across multiple human intervention trials."}],"sample_intervention_arms":{},"sex":{},"title":"Arivale Stool Metagenomes","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1262070","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1262070_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1262070.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1262070.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1262070.csv.gz"}},{"accession":"PRJNA723467","age_categories":{"unknown":150},"countries":{"DK":150},"first_public_year":"2021","gbp_per_sample_median":1.64,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":50,"obesity":100},"intervention_design":"single_arm_before_after","intervention_detail":"1-year lifestyle intervention (diet/exercise) in obese minors","interventions":["diet_intervention"],"n_samples":150,"papers":[{"doi":"10.1128/msystems.00382-21","pmcid":"PMC8525569","pmid":"34665009","title":"A Previously Undescribed Highly Prevalent Phage Identified in a Danish Enteric Virome Catalog."},{"doi":"10.1128/spectrum.01066-24","pmcid":"PMC11792537","pmid":"39745426","title":"Identification and characterization of &lt;i&gt;Faecalibacterium&lt;/i&gt; prophages rich in diversity-generating retroelements."},{"doi":"10.1038/s41467-025-58856-6","pmcid":"PMC11986028","pmid":"40210629","title":"Characterization of the phyllosphere virome of fresh vegetables and potential transfer to the human gut."}],"sample_intervention_arms":{"no_intervention":50,"other_intervention":100},"sex":{},"title":"Gut virome in obese and healthy minors","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA723467","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA723467_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA723467.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA723467.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA723467.csv.gz"}},{"accession":"PRJEB4413","age_categories":{"adult":147},"countries":{"FR":147},"first_public_year":"2013","gbp_per_sample_median":2.39,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"obesity":147},"intervention_design":"single_arm_before_after","intervention_detail":"Diet-induced weight loss and weight stabilisation intervention","interventions":["diet_intervention"],"n_samples":147,"papers":[{"doi":"10.1038/nature12480","pmcid":null,"pmid":"23985875","title":"Dietary intervention impact on gut microbial gene richness."},{"doi":"10.3389/fphys.2018.01958","pmcid":"PMC6371001","pmid":"30804813","title":"A Data Integration Multi-Omics Approach to Study Calorie Restriction-Induced Changes in Insulin Sensitivity."},{"doi":"10.1007/s11306-019-1596-0","pmcid":"PMC7165363","pmid":"31605240","title":"Elevated serum ceramides are linked with obesity-associated gut dysbiosis and impaired glucose metabolism."},{"doi":"10.1093/database/bav126","pmcid":"PMC4747322","pmid":"26861660","title":"Value, but high costs in post-deposition data curation."}],"sample_intervention_arms":{"diet_intervention":98,"no_intervention":49},"sex":{},"title":"Dietary intervention impact on gut microbial gene richness based on SOLiD next generation sequencing technology","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB4413","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB4413_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB4413.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB4413.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB4413.csv.gz"}},{"accession":"PRJDB29523","age_categories":{"adult":140},"countries":{},"first_public_year":"2026","gbp_per_sample_median":10.8,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":140},"intervention_design":"single_arm_before_after","intervention_detail":"2-month intermittent energy restriction (IER) weight loss intervention","interventions":["diet_intervention"],"n_samples":140,"papers":[{"doi":"10.3389/fcimb.2023.1269548","pmcid":"PMC10761423","pmid":"38173792","title":"Dynamical alterations of brain function and gut microbiome in weight loss"}],"sample_intervention_arms":{},"sex":{},"title":"Dynamical alterations of brain function and gut microbiome in weight loss (PRJCA020783)","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJDB29523","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJDB29523_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJDB29523.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJDB29523.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJDB29523.csv.gz"}},{"accession":"PRJEB27308","age_categories":{"adult":140},"countries":{"US":140},"first_public_year":"2019","gbp_per_sample_median":15.21,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"2-week standard diet to assess AMY1 copy-number effects","interventions":["diet_intervention"],"n_samples":140,"papers":[{"doi":"10.1016/j.chom.2019.03.001","pmcid":null,"pmid":"30974084","title":"Human Salivary Amylase Gene Copy Number Impacts Oral and Gut Microbiomes."},{"doi":"10.20517/mrr.2022.19","pmcid":"PMC10688793","pmid":"38047279","title":"Profiling of the intestinal community of Clostridia: taxonomy and evolutionary analysis."},{"doi":"10.3389/fmicb.2026.1761627","pmcid":"PMC13106387","pmid":"42039832","title":"A genomic atlas of gut clostridia: phylogeny, butyrate, and propionate production."}],"sample_intervention_arms":{},"sex":{"female":95,"male":45},"title":"Microbiome metagenome analysis of stool samples from individuals with low and high salivary amylase gene copy numbers","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB27308","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB27308_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB27308.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB27308.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB27308.csv.gz"}},{"accession":"PRJEB33603","age_categories":{"adolescent":1,"child":138},"countries":{"CA":139},"first_public_year":"2019","gbp_per_sample_median":0.02,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"crohns_disease":139},"intervention_design":"observational_with_procedure","intervention_detail":"Exclusive enteral nutrition (EEN) induction therapy","interventions":["diet_intervention"],"n_samples":139,"papers":[{"doi":"10.1093/ibd/izaa001","pmcid":"PMC7301407","pmid":"31961432","title":"Bacterial Taxa and Functions Are Predictive of Sustained Remission Following Exclusive Enteral Nutrition in Pediatric Crohn's Disease."},{"doi":"10.3389/fped.2026.1833193","pmcid":"PMC13284047","pmid":"42339293","title":"Baseline gut microbiome features associated with fecal calprotectin response to exclusive enteral nutrition in pediatric Crohn's disease."}],"sample_intervention_arms":{},"sex":{"female":35,"male":104},"title":"A metagenomic approach to diagnosis, induction and maintenance of deep remission following exclusive enteral nutrition in pediatric Crohn’s Disease","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB33603","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB33603_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB33603.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB33603.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB33603.csv.gz"}},{"accession":"PRJNA1157410","age_categories":{"adult":134},"countries":{"US":134},"first_public_year":"2025","gbp_per_sample_median":11.62,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":134},"intervention_design":"single_arm_before_after","intervention_detail":"SPI washout 40g/day 5 days, then GP-SPI (5% grape polyphenols) 40g/day 10 days; low-proanthocyanidin diet","interventions":["diet_intervention","dietary_supplement"],"n_samples":134,"papers":[{"doi":"10.1038/s41538-025-00443-6","pmcid":"PMC12116990","pmid":"40425565","title":"Grape polyphenols reduce fasting glucose and increase hyocholic acid in healthy humans: a meta-omics study."}],"sample_intervention_arms":{},"sex":{},"title":"Microbial diversity in human gut affected by grape polyphenols","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1157410","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1157410_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1157410.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1157410.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1157410.csv.gz"}},{"accession":"PRJNA766048","age_categories":{"adult":134},"countries":{"US":134},"first_public_year":"2021","gbp_per_sample_median":1.18,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"crossover","intervention_detail":"Red raspberries 125g/day alone or with 8g FOS/day","interventions":["diet_intervention"],"n_samples":134,"papers":[{"doi":"10.1093/jn/nxac037","pmcid":null,"pmid":"35421233","title":"Red Raspberry and Fructo-Oligosaccharide Supplementation, Metabolic Biomarkers, and the Gut Microbiota in Adults with Prediabetes: A Randomized Crossover Clinical Trial."}],"sample_intervention_arms":{},"sex":{},"title":"Red Raspberry Polyphenols and Fructo-oligosaccharide on Gut Microbiome","trial_population_condition":"other_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA766048","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA766048_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA766048.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA766048.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA766048.csv.gz"}},{"accession":"PRJEB72300","age_categories":{"adult":131},"countries":{"GB":131},"first_public_year":"2024","gbp_per_sample_median":1.73,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":131},"intervention_design":"randomized_controlled_trial","intervention_detail":"Randomized ketogenic diet vs free-sugar restriction vs control, 12 weeks","interventions":["diet_intervention"],"n_samples":131,"papers":[{"doi":"10.1016/j.xcrm.2024.101667","pmcid":"PMC11384946","pmid":"39106867","title":"Ketogenic diet but not free-sugar restriction alters glucose tolerance, lipid metabolism, peripheral tissue phenotype, and gut microbiome: RCT."}],"sample_intervention_arms":{},"sex":{},"title":"Ketogenic diet (but not sugar restriction) alters glucose tolerance, lipid metabolism, peripheral tissue phenotype and the gut microbiome: an RCT.","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB72300","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB72300_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB72300.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB72300.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB72300.csv.gz"}},{"accession":"PRJNA845806","age_categories":{"unknown":131},"countries":{"US":131},"first_public_year":"2022","gbp_per_sample_median":9.29,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"CHOICE higher-complex-carb vs conventional diet in GDM pregnancy","interventions":["diet_intervention"],"n_samples":131,"papers":[{"doi":"10.3389/fendo.2022.921464","pmcid":"PMC9366142","pmid":"35966074","title":"A maternal higher-complex carbohydrate diet increases bifidobacteria and alters early life acquisition of the infant microbiome in women with gestational diabetes mellitus."},{"doi":"10.1128/spectrum.00665-23","pmcid":"PMC10269646","pmid":"37191543","title":"Exploring Molecular Interactions between Human Milk Hormone Insulin and Bifidobacteria."}],"sample_intervention_arms":{},"sex":{},"title":"Trial of Diet in Gestational Diabetes Mellitus: Metabolic Consequences to Mother and Offspring (CHOICE)","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA845806","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA845806_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA845806.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA845806.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA845806.csv.gz"}},{"accession":"PRJEB81698","age_categories":{"adult":130},"countries":{"DK":130},"first_public_year":"2024","gbp_per_sample_median":7.54,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":130},"intervention_design":"non_randomized_controlled","intervention_detail":"12 weeks exercise training after 4 weeks carbohydrate overfeeding","interventions":["diet_intervention","exercise"],"n_samples":130,"papers":[],"sample_intervention_arms":{"diet_intervention":42,"exercise":41,"no_intervention":47},"sex":{},"title":"Metagenomic analysis of the gut microbiome of individuals born at low birth weight","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB81698","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB81698_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB81698.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB81698.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB81698.csv.gz"}},{"accession":"PRJNA1203651","age_categories":{"adult":129},"countries":{"US":129},"first_public_year":"2024","gbp_per_sample_median":11.84,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Randomized vegan vs omnivorous diet in twin pairs","interventions":["diet_intervention"],"n_samples":129,"papers":[{"doi":"10.1101/2025.01.08.25320192","pmcid":null,"pmid":null,"title":"A gut pathobiont regulates circulating glycine and host metabolism in a twin study comparing vegan and omnivorous diets"}],"sample_intervention_arms":{"diet_intervention":129},"sex":{"female":100,"male":29},"title":"A gut pathobiont regulates circulating glycine and host metabolism in a twin study comparing vegan and omnivorous diets","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1203651","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1203651_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1203651.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1203651.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1203651.csv.gz"}},{"accession":"PRJEB22515","age_categories":{"adult":126},"countries":{},"first_public_year":"2018","gbp_per_sample_median":0.02,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":126},"intervention_design":"crossover","intervention_detail":"Human dietary intervention varying macronutrients and phytochemicals","interventions":["diet_intervention"],"n_samples":126,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Identifying_gut_microbial_metabolites_and_the_bacteria_responsible_for_their_formation","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB22515","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB22515_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB22515.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB22515.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB22515.csv.gz"}},{"accession":"PRJEB44237","age_categories":{"adult":124},"countries":{"NL":124},"first_public_year":"2021","gbp_per_sample_median":5.3,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":124},"intervention_design":"randomized_controlled_trial","intervention_detail":"Mediterranean diet + lean donor vs autologous FMT, 6 weeks","interventions":["diet_intervention","fmt"],"n_samples":124,"papers":[{"doi":"10.3389/fmicb.2021.662159","pmcid":"PMC8222733","pmid":"34177842","title":"Effect of Fecal Microbiota Transplantation Combined With Mediterranean Diet on Insulin Sensitivity in Subjects With Metabolic Syndrome."}],"sample_intervention_arms":{},"sex":{"male":124},"title":"Effect of fecal microbiota transplantation combined with Mediterranean diet on insulin sensitivity in subjects with metabolic syndrome","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB44237","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB44237_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB44237.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB44237.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB44237.csv.gz"}},{"accession":"PRJEB15371","age_categories":{"adolescent":29,"adult":93},"countries":{"CN":122},"first_public_year":"2016","gbp_per_sample_median":5.4,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":53,"ibd_unspecified":49},"intervention_design":"single_arm_before_after","intervention_detail":"Exclusive enteral nutrition (EEN) for 2 weeks in CD patients, resampled before/after","interventions":["diet_intervention"],"n_samples":122,"papers":[{"doi":"10.1093/gigascience/gix050","pmcid":"PMC5624284","pmid":"28655159","title":"Two distinct metacommunities characterize the gut microbiota in Crohn's disease patients."},{"doi":"10.1002/advs.202205272","pmcid":"PMC10131791","pmid":"36802200","title":"Mesenteric Adipose Tissue-Derived Klebsiella variicola Disrupts Intestinal Barrier and Promotes Colitis by Type VI Secretion System."},{"doi":"10.1128/spectrum.00931-24","pmcid":"PMC11537084","pmid":"39365049","title":"rRNA operon improves species-level classification of bacteria and microbial community analysis compared to 16S rRNA."},{"doi":"10.3389/fmicb.2024.1496280","pmcid":"PMC11794259","pmid":"39911710","title":"Genome analysis of &lt;i&gt;Bifidobacterium adolescentis&lt;/i&gt; and investigation of its effects on inflammation and intestinal barrier function."},{"doi":"10.1128/mbio.00095-20","pmcid":"PMC7157763","pmid":"32265336","title":"Synergy between Cell Surface Glycosidases and Glycan-Binding Proteins Dictates the Utilization of Specific Beta(1,3)-Glucans by Human Gut Bacteroides."}],"sample_intervention_arms":{},"sex":{"female":15,"male":86},"title":"The gut microbiome in Crohn's disease and modulation by exclusive enteral nutrition","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB15371","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB15371_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB15371.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB15371.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB15371.csv.gz"}},{"accession":"PRJEB76794","age_categories":{"adult":120},"countries":{"FR":120},"first_public_year":"2024","gbp_per_sample_median":0.3,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"cardiometabolic_other":120},"intervention_design":"crossover","intervention_detail":"Multifunctional cereal products (polyphenols, fibers, slow-digestible starch, omega-3) vs control cereal products, 2 months","interventions":["diet_intervention"],"n_samples":120,"papers":[{"doi":"10.1080/19490976.2024.2438823","pmcid":"PMC12931706","pmid":"39710576","title":"Multifunctional dietary approach reduces intestinal inflammation in relation with changes in gut microbiota composition in subjects at cardiometabolic risk: the SINFONI project."}],"sample_intervention_arms":{},"sex":{},"title":"Multifunctional dietary approach reduces intestinal inflammation in relation with changes in gut microbiota composition in subjects at cardiometabolic risk: the SINFONI project","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB76794","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB76794_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB76794.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB76794.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB76794.csv.gz"}},{"accession":"PRJNA1238858","age_categories":{"adult":120},"countries":{"CN":120},"first_public_year":"2025","gbp_per_sample_median":6.31,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"type2_diabetes":120},"intervention_design":"randomized_controlled_trial","intervention_detail":"USFA (MUFA/PUFA) feeding timed at lunch vs dinner, 12-week RCT","interventions":["diet_intervention"],"n_samples":120,"papers":[{"doi":"10.1038/s41467-025-58937-6","pmcid":"PMC12056104","pmid":"40328731","title":"Timing of unsaturated fat intake improves insulin sensitivity via the gut microbiota-bile acid axis: a randomized controlled trial."}],"sample_intervention_arms":{},"sex":{},"title":"Metagenomic sequencing of fecal samples","trial_population_condition":"type2_diabetes","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1238858","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1238858_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1238858.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1238858.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1238858.csv.gz"}},{"accession":"PRJNA1000186","age_categories":{"adult":118},"countries":{"CA":118},"first_public_year":"2025","gbp_per_sample_median":9.62,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":118},"intervention_design":"crossover","intervention_detail":"Non-industrialized high-fiber Restore diet vs usual diet; L. reuteri PB-W1 or DSM20016T vs placebo","interventions":["diet_intervention","probiotic"],"n_samples":118,"papers":[{"doi":"10.1186/s40168-024-01881-2","pmcid":"PMC11380787","pmid":"39244633","title":"Highly accurate and sensitive absolute quantification of bacterial strains in human fecal samples."}],"sample_intervention_arms":{},"sex":{},"title":"Microbiome restoration using a non-industrialized-type diet and a lost microbe","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1000186","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1000186_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1000186.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1000186.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1000186.csv.gz"}},{"accession":"PRJNA743361","age_categories":{"adult":115},"countries":{"US":115},"first_public_year":"2021","gbp_per_sample_median":6.51,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":115},"intervention_design":"randomized_controlled_trial","intervention_detail":"17-week high-fiber vs high-fermented-food diet arms","interventions":["diet_intervention"],"n_samples":115,"papers":[{"doi":"10.3390/microorganisms12071433","pmcid":"PMC11279133","pmid":"39065201","title":"High Prevalence of Antibiotic Resistance in Traditionally Fermented Foods as a Critical Risk Factor for Host Gut Antibiotic Resistome."},{"doi":"10.1038/s41564-024-01728-4","pmcid":"PMC11841136","pmid":"38914826","title":"Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut."}],"sample_intervention_arms":{"diet_intervention":115},"sex":{},"title":"High fermented food, high fiber diet effect on human microbiome and immune system","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA743361","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA743361_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA743361.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA743361.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA743361.csv.gz"}},{"accession":"PRJEB14084","age_categories":{"child":111},"countries":{"NL":111},"first_public_year":"2016","gbp_per_sample_median":0.01,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"crohns_disease":111},"intervention_design":"single_arm_before_after","intervention_detail":"Exclusive enteral nutrition (EEN) before/during/after treatment","interventions":["diet_intervention"],"n_samples":111,"papers":[{"doi":"10.1038/s41598-020-75306-z","pmcid":"PMC7609694","pmid":"33144591","title":"Exclusive enteral nutrition mediates gut microbial and metabolic changes that are associated with remission in children with Crohn's disease."},{"doi":"10.1186/s13619-025-00246-w","pmcid":"PMC12259524","pmid":"40658318","title":"Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation."},{"doi":"10.3389/fped.2026.1833193","pmcid":"PMC13284047","pmid":"42339293","title":"Baseline gut microbiome features associated with fecal calprotectin response to exclusive enteral nutrition in pediatric Crohn's disease."}],"sample_intervention_arms":{},"sex":{"female":49,"male":62},"title":"The_mechanism_of_nutritional_therapy_for_Paediatric_Crohn_s_disease","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB14084","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB14084_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB14084.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB14084.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB14084.csv.gz"}},{"accession":"PRJNA256106","age_categories":{"adolescent":46,"child":62,"infant":1},"countries":{"CN":109},"first_public_year":"2015","gbp_per_sample_median":7.53,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":109},"intervention_design":"single_arm_before_after","intervention_detail":"Hospitalized diet rich in non-digestible carbohydrates inducing weight loss","interventions":["diet_intervention"],"n_samples":109,"papers":[{"doi":"10.1016/j.ebiom.2015.07.007","pmcid":"PMC4563136","pmid":"26425705","title":"Dietary Modulation of Gut Microbiota Contributes to Alleviation of Both Genetic and Simple Obesity in Children."}],"sample_intervention_arms":{},"sex":{"female":42,"male":67},"title":"Human gut Targeted Locus (Loci)","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA256106","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA256106_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA256106.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA256106.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA256106.csv.gz"}},{"accession":"PRJNA884688","age_categories":{"infant":109},"countries":{"US":109},"first_public_year":"2024","gbp_per_sample_median":0.41,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Meat- vs dairy-based complementary foods, 5-12 months","interventions":["diet_intervention"],"n_samples":109,"papers":[{"doi":"10.3389/fnut.2022.1063518","pmcid":"PMC9909089","pmid":"36778973","title":"Different gut microbiota in U.S. formula-fed infants consuming a meat vs. dairy-based complementary foods: A randomized controlled trial."}],"sample_intervention_arms":{"diet_intervention":52,"no_intervention":57},"sex":{},"title":"Human gut microbiota and protein source","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA884688","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA884688_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA884688.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA884688.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA884688.csv.gz"}},{"accession":"PRJNA776530","age_categories":{"adult":105},"countries":{"US":105},"first_public_year":"2022","gbp_per_sample_median":2.18,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":105},"intervention_design":"single_arm_before_after","intervention_detail":"7-day homogeneous average American diet in healthy individuals","interventions":["diet_intervention"],"n_samples":105,"papers":[{"doi":"10.1016/j.chom.2022.05.003","pmcid":"PMC9296065","pmid":"35643079","title":"Impact of a 7-day homogeneous diet on interpersonal variation in human gut microbiomes and metabolomes."}],"sample_intervention_arms":{},"sex":{},"title":"Impact of a 7-day homogeneous diet on interpersonal variation in human gut microbiomes and metabolomes","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA776530","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA776530_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA776530.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA776530.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA776530.csv.gz"}},{"accession":"PRJNA918651","age_categories":{"adult":59,"elderly":44},"countries":{"US":103},"first_public_year":"2023","gbp_per_sample_median":0.77,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"other_cancer":103},"intervention_design":"randomized_controlled_trial","intervention_detail":"Mediterranean diet counseling vs USDA diet, 15 weeks","interventions":["diet_intervention"],"n_samples":103,"papers":[{"doi":"10.1128/mbio.02308-23","pmcid":"PMC10746218","pmid":"37877698","title":"Characterizing the microbiome of patients with myeloproliferative neoplasms during a Mediterranean diet intervention."},{"doi":"10.1158/2767-9764.crc-23-0380","pmcid":"PMC10913729","pmid":"38391189","title":"The NUTRIENT Trial (NUTRitional Intervention among myEloproliferative Neoplasms): Results from a Randomized Phase I Pilot Study for Feasibility and Adherence."}],"sample_intervention_arms":{},"sex":{"female":72,"male":28},"title":"Characterizing the microbiome of patients with myeloproliferative neoplasms during a Mediterranean diet intervention","trial_population_condition":"other_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA918651","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA918651_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA918651.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA918651.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA918651.csv.gz"}},{"accession":"PRJEB35524","age_categories":{"adult":102},"countries":{},"first_public_year":"2022","gbp_per_sample_median":3.79,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"cardiometabolic_other":102},"intervention_design":"randomized_controlled_trial","intervention_detail":"Low-digestibility milk protein vs pea protein + energy restriction, 12 weeks","interventions":["diet_intervention","dietary_supplement"],"n_samples":102,"papers":[{"doi":"10.1038/s41598-021-94916-9","pmcid":"PMC8329187","pmid":"34341379","title":"Protein supplementation during an energy-restricted diet induces visceral fat loss and gut microbiota amino acid metabolism activation: a randomized trial."}],"sample_intervention_arms":{"dietary_supplement":24},"sex":{},"title":"A low-digestibility protein supplementation during an energy-restricted diet reduces visceral fat and stimulates gut microbiota aminoacid metabolism in subjects with metabolic syndrome","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB35524","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB35524_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB35524.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB35524.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB35524.csv.gz"}},{"accession":"PRJEB76849","age_categories":{"adult":73,"elderly":28},"countries":{"US":101},"first_public_year":"2024","gbp_per_sample_median":7.19,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":true,"health_conditions":{"cardiometabolic_other":8,"healthy_control":55,"neurological_psychiatric":38},"intervention_design":"single_arm_before_after","intervention_detail":"Diet intervention in cognitive impairment/AD patients","interventions":["diet_intervention"],"n_samples":101,"papers":[{"doi":"10.1038/s44324-024-00016-3","pmcid":"PMC11216994","pmid":"38962750","title":"Serum and CSF metabolomics analysis shows Mediterranean Ketogenic Diet mitigates risk factors of Alzheimer's disease."}],"sample_intervention_arms":{"diet_intervention":54,"no_intervention":39},"sex":{"female":69,"male":24},"title":"Gut microbiome alterations in Alzheimers disease _WF-BEAM","trial_population_condition":"neurological_psychiatric","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB76849","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB76849_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB76849.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB76849.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB76849.csv.gz"}},{"accession":"PRJEB55607","age_categories":{"adult":100},"countries":{"GB":100},"first_public_year":"2023","gbp_per_sample_median":12.16,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":100},"intervention_design":"crossover","intervention_detail":"2x2 crossover: high vs low bioactive-rich diet for two weeks each, 4-week washout","interventions":["diet_intervention"],"n_samples":100,"papers":[{"doi":"10.1101/2025.10.16.25338140","pmcid":null,"pmid":null,"title":"Dietary bioactives increase gut microbiome diversity and alter host and microbial metabolite profiles"}],"sample_intervention_arms":{"diet_intervention":40,"no_intervention":40},"sex":{"female":60,"male":40},"title":"The effect of dietary bioactive on gut microbiome diversity (DIME) – a pilot study","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB55607","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB55607_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB55607.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB55607.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB55607.csv.gz"}},{"accession":"PRJEB115184","age_categories":{"adult":99},"countries":{"IN":99},"first_public_year":"2026","gbp_per_sample_median":7.4,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"crohns_disease":99},"intervention_design":"randomized_controlled_trial","intervention_detail":"FMT plus CDED vs sham FMT plus CDED, 52-week trial in Crohn's disease","interventions":["diet_intervention","fmt"],"n_samples":99,"papers":[],"sample_intervention_arms":{"fmt":53,"placebo":22},"sex":{},"title":"Clinical outcomes and microbiome restructuring following fecal microbiota transplantation plus exclusion diet in Crohn’s disease: A 52-week randomized sham-controlled trial","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB115184","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB115184_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB115184.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB115184.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB115184.csv.gz"}},{"accession":"PRJNA1293883","age_categories":{"adult":98},"countries":{"DE":98},"first_public_year":"2026","gbp_per_sample_median":7.64,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":98},"intervention_design":"randomized_controlled_trial","intervention_detail":"5-day prolonged fasting vs waitlist control, 12-wk follow-up","interventions":["diet_intervention"],"n_samples":98,"papers":[{"doi":"10.1186/s13073-026-01765-0","pmcid":"PMC13587497","pmid":"42754908","title":"Machine learning identifies microbiome and clinical predictors of sustained weight loss following prolonged fasting."}],"sample_intervention_arms":{},"sex":{},"title":"Machine Learning Identifies Microbiome and Clinical Predictors of Sustained Weight Loss Following Prolonged Fasting","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1293883","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1293883_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1293883.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1293883.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1293883.csv.gz"}},{"accession":"PRJEB18780","age_categories":{"adolescent":41,"adult":27,"child":28},"countries":{"GB":96},"first_public_year":"2017","gbp_per_sample_median":1.1,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"crohns_disease":56,"healthy_control":40},"intervention_design":"single_arm_before_after","intervention_detail":"Exclusive enteral nutrition (EEN) in paediatric Crohn's disease","interventions":["diet_intervention"],"n_samples":96,"papers":[{"doi":"10.1371/journal.pone.0172605","pmcid":"PMC5319678","pmid":"28222161","title":"The distinct features of microbial 'dysbiosis' of Crohn's disease do not occur to the same extent in their unaffected, genetically-linked kindred."},{"doi":"10.1038/s41591-024-03280-4","pmcid":"PMC11645270","pmid":"39367251","title":"Noninvasive, microbiome-based diagnosis of inflammatory bowel disease."},{"doi":"10.1016/j.isci.2024.111442","pmcid":"PMC11650326","pmid":"39691780","title":"Gut-microbiota-based ensemble model predicts prognosis of pediatric inflammatory bowel disease."},{"doi":"10.1186/s40168-025-02273-w","pmcid":"PMC12781464","pmid":"41345980","title":"Deciphering the personalized functional redundancy hierarchy in the gut microbiome."},{"doi":"10.1016/j.xcrm.2026.102974","pmcid":"PMC13589510","pmid":"42575094","title":"Global gut microbiome atlas identifies epidemiologic-stage-specific signatures in inflammatory bowel disease."}],"sample_intervention_arms":{},"sex":{"female":6,"male":5},"title":"Exploring associations between the gut microbiota and colonic inflammation and assessing sequential changes during exclusive enteral nutrition (EEN) for children with Crohn's disease and comparing them to healthy cohorts as well as their relatives","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB18780","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB18780_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB18780.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB18780.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB18780.csv.gz"}},{"accession":"PRJEB52732","age_categories":{"adult":95},"countries":{},"first_public_year":"2024","gbp_per_sample_median":10.44,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"type2_diabetes":95},"intervention_design":"randomized_controlled_trial","intervention_detail":"","interventions":[],"n_samples":95,"papers":[],"sample_intervention_arms":{"diet_intervention":67,"no_intervention":28},"sex":{},"title":"Follow up of gut microbitoa targeted interventioon","trial_population_condition":"type2_diabetes","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB52732","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB52732_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB52732.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB52732.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB52732.csv.gz"}},{"accession":"PRJNA1023737","age_categories":{"unknown":95},"countries":{"GB":95},"first_public_year":"2025","gbp_per_sample_median":9.22,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":54,"other_disease":41},"intervention_design":"single_arm_before_after","intervention_detail":"","interventions":[],"n_samples":95,"papers":[{"doi":"10.1101/2024.06.20.599876","pmcid":null,"pmid":null,"title":"One year of gluten free diet impacts gut function and microbiome in celiac disease"}],"sample_intervention_arms":{"diet_intervention":19,"no_intervention":76},"sex":{},"title":"Metagenomic sequencing data for stool samples from the MARCO human study","trial_population_condition":"other_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1023737","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1023737_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1023737.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1023737.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1023737.csv.gz"}},{"accession":"PRJNA589622","age_categories":{"adult":95},"countries":{"US":95},"first_public_year":"2019","gbp_per_sample_median":3.38,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Underfeeding vs overfeeding diet; oral vancomycin vs placebo","interventions":["antibiotic","diet_intervention"],"n_samples":95,"papers":[{"doi":"10.3390/ijms22073652","pmcid":"PMC8038126","pmid":"33915727","title":"Diet-Related Alterations of Gut Bile Salt Hydrolases Determined Using a Metagenomic Analysis of the Human Microbiome."}],"sample_intervention_arms":{"diet_intervention":38,"no_intervention":57},"sex":{},"title":"Underfeeding and oral vancomycin perturb the human gut microbiome and impair nutrient absorption","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA589622","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA589622_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA589622.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA589622.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA589622.csv.gz"}},{"accession":"PRJNA290729","age_categories":{"adult":92},"countries":{"DE":92},"first_public_year":"2015","gbp_per_sample_median":2.03,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":92},"intervention_design":"single_arm_before_after","intervention_detail":"Very low calorie inulin-enriched diet, weight-loss program over 24 months","interventions":["diet_intervention","prebiotic_or_fibre"],"n_samples":92,"papers":[{"doi":"10.1371/journal.pone.0149564","pmcid":"PMC4769288","pmid":"26919743","title":"Characterization of the Gut Microbial Community of Obese Patients Following a Weight-Loss Intervention Using Whole Metagenome Shotgun Sequencing."},{"doi":"10.1177/1178646919834550","pmcid":"PMC6440052","pmid":"30944520","title":"Diet-Related Metabolic Perturbations of Gut Microbial Shikimate Pathway-Tryptamine-tRNA Aminoacylation-Protein Synthesis in Human Health and Disease."},{"doi":"10.3390/nu14153182","pmcid":"PMC9370776","pmid":"35956358","title":"Gut Microbiota Patterns Predicting Long-Term Weight Loss Success in Individuals with Obesity Undergoing Nonsurgical Therapy."},{"doi":"10.1038/s41467-022-29843-y","pmcid":"PMC9051138","pmid":"35484115","title":"A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments."},{"doi":"10.1186/s40168-023-01604-z","pmcid":"PMC10408196","pmid":"37553697","title":"Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions."}],"sample_intervention_arms":{},"sex":{},"title":"Characterization of the distal gut microbiota in obese patients following a weight-loss intervention using whole metagenome shotgun sequencing","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA290729","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA290729_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA290729.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA290729.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA290729.csv.gz"}},{"accession":"PRJNA914532","age_categories":{"adolescent":36,"adult":9,"child":30,"infant":15},"countries":{"IT":90},"first_public_year":"2022","gbp_per_sample_median":2.35,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"transplant_or_immunocompromised":90},"intervention_design":"observational_with_procedure","intervention_detail":"Levofloxacin prophylaxis plus parenteral or enteral nutrition in HSCT","interventions":["antibiotic","diet_intervention"],"n_samples":90,"papers":[{"doi":"10.1038/s42003-023-04436-7","pmcid":"PMC9839701","pmid":"36639555","title":"Levofloxacin prophylaxis and parenteral nutrition have a detrimental effect on intestinal microbial networks in pediatric patients undergoing HSCT."}],"sample_intervention_arms":{},"sex":{},"title":"Levofloxacin prophylaxis and parenteral nutrition have a detrimental effect on intestinal microbial networks in pediatric patients undergoing HSCT","trial_population_condition":"transplant_or_immunocompromised","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA914532","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA914532_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA914532.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA914532.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA914532.csv.gz"}},{"accession":"PRJNA647720","age_categories":{"adult":86},"countries":{},"first_public_year":"2021","gbp_per_sample_median":0.14,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":86},"intervention_design":"single_arm_before_after","intervention_detail":"2-week high-fiber diet intervention (40-50g fiber/day)","interventions":["diet_intervention"],"n_samples":86,"papers":[{"doi":"10.1128/msystems.00115-21","pmcid":"PMC8546969","pmid":"33727392","title":"High-Fiber, Whole-Food Dietary Intervention Alters the Human Gut Microbiome but Not Fecal Short-Chain Fatty Acids."},{"doi":"10.1158/2767-9764.crc-23-0380","pmcid":"PMC10913729","pmid":"38391189","title":"The NUTRIENT Trial (NUTRitional Intervention among myEloproliferative Neoplasms): Results from a Randomized Phase I Pilot Study for Feasibility and Adherence."}],"sample_intervention_arms":{"diet_intervention":45,"no_intervention":41},"sex":{},"title":"Human gut microbiome sequencing during a high fiber diet intervention","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA647720","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA647720_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA647720.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA647720.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA647720.csv.gz"}},{"accession":"PRJNA868569","age_categories":{"adult":86},"countries":{"CN":86},"first_public_year":"2022","gbp_per_sample_median":0.03,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":86},"intervention_design":"single_arm_before_after","intervention_detail":"Hypocaloric balanced diet for 12 weeks, obesity cohort","interventions":["diet_intervention"],"n_samples":86,"papers":[{"doi":"10.3390/nu15143101","pmcid":"PMC10383620","pmid":"37513521","title":"Modulating the Human Gut Microbiota through Hypocaloric Balanced Diets: An Effective Approach for Managing Obesity."}],"sample_intervention_arms":{},"sex":{},"title":"Homo sapiens Raw sequence reads","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA868569","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA868569_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA868569.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA868569.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA868569.csv.gz"}},{"accession":"PRJNA995034","age_categories":{"unknown":82},"countries":{"US":82},"first_public_year":"2023","gbp_per_sample_median":0.25,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"Diet soda (sucralose/acesulfame-K) consumption, before/after gut microbiome comparison","interventions":["diet_intervention"],"n_samples":82,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Diet Soda Human gut microbiome","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA995034","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA995034_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA995034.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA995034.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA995034.csv.gz"}},{"accession":"PRJNA913183","age_categories":{"unknown":81},"countries":{"US":81},"first_public_year":"2023","gbp_per_sample_median":1.29,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":81},"intervention_design":"crossover","intervention_detail":"Randomized crossover controlled feeding: Western diet vs Microbiome Enhancer Diet","interventions":["diet_intervention"],"n_samples":81,"papers":[{"doi":"10.1038/s41467-023-38778-x","pmcid":"PMC10232526","pmid":"37258525","title":"Host-diet-gut microbiome interactions influence human energy balance: a randomized clinical trial."},{"doi":"10.1038/s42255-025-01220-1","pmcid":"PMC11949708","pmid":"39966520","title":"Metagenomic estimation of dietary intake from human stool."},{"doi":"10.1093/ismejo/wraf103","pmcid":"PMC12156016","pmid":"40403748","title":"Methanogenesis associated with altered microbial production of short-chain fatty acids and human-host metabolizable energy."}],"sample_intervention_arms":{"diet_intervention":24},"sex":{"female":12,"male":12},"title":"Host-Diet-Gut Microbiome Interactions Influence Human Energy Balance: a Randomized Clinical Trial","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA913183","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA913183_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA913183.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA913183.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA913183.csv.gz"}},{"accession":"PRJEB17643","age_categories":{"adult":79},"countries":{},"first_public_year":"2017","gbp_per_sample_median":0.54,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":79},"intervention_design":"crossover","intervention_detail":"One-week bread consumption: industrial white vs sourdough whole-grain","interventions":["diet_intervention"],"n_samples":79,"papers":[{"doi":"10.1016/j.cmet.2017.05.002","pmcid":null,"pmid":"28591632","title":"Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses."}],"sample_intervention_arms":{"diet_intervention":39,"no_intervention":39},"sex":{},"title":"A randomized trial of bread consumption: Personal glycemic responses and effects on clinical parameters and gut microbiome","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB17643","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB17643_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB17643.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB17643.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB17643.csv.gz"}},{"accession":"PRJNA1198331","age_categories":{"adult":76},"countries":{"IT":76},"first_public_year":"2024","gbp_per_sample_median":10.35,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"obesity":76},"intervention_design":"randomized_controlled_trial","intervention_detail":"Probiotic pasta with Shouchella/Alkalihalobacillus clausii UBBC-07 spores, 80g/day, 4 weeks","interventions":["diet_intervention","probiotic"],"n_samples":76,"papers":[{"doi":"10.1016/j.crfs.2025.101215","pmcid":"PMC12538098","pmid":"41126806","title":"Probiotic pasta consumption improves lipid metabolism and reduces gut permeability in overweight and obese adults: a randomized controlled trial."}],"sample_intervention_arms":{"no_intervention":37,"placebo":20,"probiotic":19},"sex":{"female":34,"male":42},"title":"gut metagenomes of people treated with a probiotic pasta","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1198331","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1198331_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1198331.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1198331.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1198331.csv.gz"}},{"accession":"PRJNA788383","age_categories":{"child":74},"countries":{"IT":74},"first_public_year":"2021","gbp_per_sample_median":8.84,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"obesity":74},"intervention_design":"randomized_controlled_trial","intervention_detail":"Oral sodium butyrate 20 mg/kg/day vs placebo, plus standard calorie-restriction care, 6 months","interventions":["diet_intervention","dietary_supplement"],"n_samples":74,"papers":[{"doi":"10.1001/jamanetworkopen.2022.44912","pmcid":"PMC9855301","pmid":"36469320","title":"Therapeutic Effects of Butyrate on Pediatric Obesity: A Randomized Clinical Trial."}],"sample_intervention_arms":{"dietary_supplement":19,"no_intervention":22,"placebo":14},"sex":{},"title":"Gut microbiome in obese children treated with butyrate","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA788383","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA788383_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA788383.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA788383.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA788383.csv.gz"}},{"accession":"PRJNA930767","age_categories":{"adolescent":30,"adult":19,"unknown":23},"countries":{"US":72},"first_public_year":"2023","gbp_per_sample_median":2.19,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"crohns_disease":70,"healthy_control":2},"intervention_design":"non_randomized_controlled","intervention_detail":"Crohn's Disease Exclusion Diet (CDED) vs free diet after drug withdrawal","interventions":["diet_intervention"],"n_samples":72,"papers":[{"doi":"10.1097/mpg.0000000000003589","pmcid":null,"pmid":"35976282","title":"Outcomes and Predictors of Sustained Remission After Drug Withdrawal in Pediatric Crohn Disease."}],"sample_intervention_arms":{"diet_intervention":26,"no_intervention":20},"sex":{"female":20,"male":29},"title":"Outcomes and predictors of sustained remission after drug withdrawal in pediatric Crohn's disease","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA930767","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA930767_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA930767.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA930767.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA930767.csv.gz"}},{"accession":"PRJNA698459","age_categories":{"adult":60,"elderly":9},"countries":{"DE":69},"first_public_year":"2021","gbp_per_sample_median":5.16,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"cardiometabolic_other":69},"intervention_design":"randomized_controlled_trial","intervention_detail":"5-day fast then modified DASH diet vs modified DASH diet alone","interventions":["diet_intervention"],"n_samples":69,"papers":[{"doi":"10.1038/s41467-021-22097-0","pmcid":"PMC8010079","pmid":"33785752","title":"Fasting alters the gut microbiome reducing blood pressure and body weight in metabolic syndrome patients."},{"doi":"10.1093/bioadv/vbad063","pmcid":"PMC10284677","pmid":"37359720","title":"LongDat: an R package for covariate-sensitive longitudinal analysis of high-dimensional data."}],"sample_intervention_arms":{"diet_intervention":69},"sex":{"female":54,"male":15},"title":"Fasting alters the gut microbiome with sustained blood pressure and body weight reduction in metabolic syndrome patients","trial_population_condition":"cardiometabolic_other","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA698459","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA698459_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA698459.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA698459.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA698459.csv.gz"}},{"accession":"PRJNA1093259","age_categories":{"unknown":68},"countries":{"DE":68},"first_public_year":"2025","gbp_per_sample_median":7.58,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":68},"intervention_design":"randomized_controlled_trial","intervention_detail":"Three different dietary interventions, metabolic response study","interventions":["diet_intervention"],"n_samples":68,"papers":[{"doi":"10.1101/2025.11.03.25337885","pmcid":null,"pmid":null,"title":"Differential effects of Nordic and Vegetarian diets on lipid metabolism, gut microbiome and cardiometabolic risk factors: A multi-omic perspective from a randomized clinical intervention trial"}],"sample_intervention_arms":{},"sex":{},"title":"Data for: The gut microbiome and the genetic predisposition are driving factors of the metabolic response to a dietary intervention","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1093259","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1093259_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1093259.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1093259.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1093259.csv.gz"}},{"accession":"PRJNA1143728","age_categories":{"unknown":68},"countries":{"DE":68},"first_public_year":"2024","gbp_per_sample_median":3.98,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":68},"intervention_design":"randomized_controlled_trial","intervention_detail":"Controlled salt intake regimen","interventions":["diet_intervention"],"n_samples":68,"papers":[],"sample_intervention_arms":{},"sex":{"female":38,"male":30},"title":"Tabula Salis - Shotgun","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1143728","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1143728_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1143728.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1143728.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1143728.csv.gz"}},{"accession":"PRJNA1142935","age_categories":{"adult":65},"countries":{"CN":65},"first_public_year":"2024","gbp_per_sample_median":12.97,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"cardiometabolic_other":27,"healthy_control":38},"intervention_design":"single_arm_before_after","intervention_detail":"Lifestyle/glycemic control management (diet) in GDM pregnancies","interventions":["diet_intervention"],"n_samples":65,"papers":[{"doi":"10.1186/s12866-024-03680-z","pmcid":"PMC11622461","pmid":"39643877","title":"Bifidobacterium species serve as key gut microbiome regulators after intervention in gestational diabetes mellitus."}],"sample_intervention_arms":{},"sex":{"female":65},"title":"human gut metagenome data of GDM and NGT pregnancies","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1142935","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1142935_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1142935.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1142935.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1142935.csv.gz"}},{"accession":"PRJNA1096331","age_categories":{"adult":64},"countries":{"NZ":64},"first_public_year":"2025","gbp_per_sample_median":2.23,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"type2_diabetes":64},"intervention_design":"randomized_controlled_trial","intervention_detail":"Higher-protein nut bar vs higher-carbohydrate cereal bar, 12-week parallel-group trial","interventions":["diet_intervention"],"n_samples":64,"papers":[{"doi":"10.3390/nu16121971","pmcid":"PMC11206330","pmid":"38931324","title":"Effect of a Higher-Protein Nut versus Higher-Carbohydrate Cereal Enriched Diet on the Gut Microbiomes of Chinese Participants with Overweight and Normoglycaemia or Prediabetes in the Tū Ora Study."}],"sample_intervention_arms":{},"sex":{"female":24,"male":40},"title":"Effect of Dietary High-Protein Nut versus High-Carbohydrate Cereal Supplementation on the Gut Microbiomes of Chinese Participants with Prediabetes","trial_population_condition":"type2_diabetes","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1096331","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1096331_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1096331.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1096331.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1096331.csv.gz"}},{"accession":"PRJNA1477516","age_categories":{"infant":64},"countries":{"US":64},"first_public_year":"2026","gbp_per_sample_median":8.89,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Four-arm RCT: meat-, dairy-, plant-based, or reference complementary feeding patterns","interventions":["diet_intervention"],"n_samples":64,"papers":[{"doi":"10.64898/2026.05.19.726352","pmcid":null,"pmid":null,"title":"IgA Targeting in the Infant Gut Is Modulated by Diet and Increasingly Directed Towards Persistent Species"}],"sample_intervention_arms":{"diet_intervention":64},"sex":{"female":10,"male":20},"title":"MIgSeq-based profiling of IgA-targeted gut microbiota in the MINT infant cohort","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1477516","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1477516_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1477516.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1477516.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1477516.csv.gz"}},{"accession":"PRJNA1273656","age_categories":{"unknown":61},"countries":{"CN":61},"first_public_year":"2025","gbp_per_sample_median":17.47,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"Single test meal containing seaweed, pre/post sampling","interventions":["diet_intervention"],"n_samples":61,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Arsenic Metabolism and Gut Microbiome Responses Following a Single Meal of Seaweeds in Humans","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1273656","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1273656_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1273656.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1273656.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1273656.csv.gz"}},{"accession":"PRJNA1183595","age_categories":{"adult":60},"countries":{},"first_public_year":"2025","gbp_per_sample_median":9.73,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Probiotic (L. plantarum, paracasei, salivarius) vs placebo, plus gluten-free then reintroduction diet","interventions":["diet_intervention","probiotic"],"n_samples":60,"papers":[],"sample_intervention_arms":{"placebo":30,"probiotic":30},"sex":{},"title":"Gut microbiome of individuals with Non-celiac gluten wheat sensitivity Raw sequence reads","trial_population_condition":"other_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1183595","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1183595_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1183595.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1183595.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1183595.csv.gz"}},{"accession":"PRJNA1258611","age_categories":{"elderly":60},"countries":{"CN":60},"first_public_year":"2025","gbp_per_sample_median":14.84,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"type2_diabetes":60},"intervention_design":"none","intervention_detail":"In vitro fecal fermentation comparing whole grain blend (black/red/brown rice) vs polished white rice","interventions":[],"n_samples":60,"papers":[{"doi":"10.3390/foods14152557","pmcid":"PMC12345654","pmid":"40807496","title":"Comparing a Whole Grain Blend with Polished White Rice for Starch Digestibility and Gut Microbiota Fermentation in Diabetic Patients: An In Vitro Study."}],"sample_intervention_arms":{"diet_intervention":40,"no_intervention":20},"sex":{},"title":"Comparing a Whole Grain Blend with Polished White Rice on Gut Microbiota Fermentation in Diabetic Patients","trial_population_condition":"type2_diabetes","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1258611","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1258611_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1258611.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1258611.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1258611.csv.gz"}},{"accession":"PRJEB25264","age_categories":{"child":57},"countries":{"IL":57},"first_public_year":"2018","gbp_per_sample_median":0.42,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"crohns_disease":57},"intervention_design":"non_randomized_controlled","intervention_detail":"CDED+PEN or EEN nutritional therapy for 12 weeks in paediatric CD","interventions":["diet_intervention"],"n_samples":57,"papers":[{"doi":"10.1093/ecco-jcc/jjac105","pmcid":"PMC9880954","pmid":"36106847","title":"Successful Dietary Therapy in Paediatric Crohn's Disease is Associated with Shifts in Bacterial Dysbiosis and Inflammatory Metabotype Towards Healthy Controls."}],"sample_intervention_arms":{"diet_intervention":57},"sex":{},"title":"Examining changes in the gut microbiome of Crohn's Disease patients using two different nutritional therapies.","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB25264","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB25264_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB25264.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB25264.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB25264.csv.gz"}},{"accession":"PRJEB35587","age_categories":{"child":57},"countries":{"CA":57},"first_public_year":"2019","gbp_per_sample_median":0.31,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"crohns_disease":57},"intervention_design":"single_arm_before_after","intervention_detail":"Nutritional therapy to induce remission in pediatric Crohn's disease","interventions":["diet_intervention"],"n_samples":57,"papers":[{"doi":"10.1016/j.chom.2025.01.002","pmcid":"PMC12268991","pmid":"39947133","title":"A meta-analysis of the gut microbiome in inflammatory bowel disease patients identifies disease-associated small molecules."}],"sample_intervention_arms":{},"sex":{},"title":"The Relationship between Fecal Bile Acids and Microbiome Community Structure in Pediatric Crohn’s Disease","trial_population_condition":"crohns_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB35587","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB35587_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB35587.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB35587.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB35587.csv.gz"}},{"accession":"PRJEB80390","age_categories":{"adult":54},"countries":{"GB":54},"first_public_year":"2025","gbp_per_sample_median":2.34,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":54},"intervention_design":"randomized_controlled_trial","intervention_detail":"3-week energy restriction (5000 kcal/wk) plus vigorous exercise vs usual lifestyle control","interventions":["diet_intervention","exercise"],"n_samples":54,"papers":[{"doi":"10.1113/jp287424","pmcid":"PMC12704030","pmid":"40828642","title":"Effects of a combined energy restriction and vigorous-intensity exercise intervention on the human gut microbiome: A randomised controlled trial."}],"sample_intervention_arms":{},"sex":{},"title":"Effects of a combined energy restriction and vigorous intensity exercise intervention on the human gut microbiome – a randomised controlled trial","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB80390","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB80390_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB80390.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB80390.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB80390.csv.gz"}},{"accession":"PRJNA1367192","age_categories":{"adult":54},"countries":{"US":54},"first_public_year":"2025","gbp_per_sample_median":9.08,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"transplant_or_immunocompromised":54},"intervention_design":"unknown","intervention_detail":"","interventions":[],"n_samples":54,"papers":[{"doi":"10.1158/2159-8290.cd-25-1101","pmcid":"PMC12811828","pmid":"41342739","title":"A High-Fiber, Plant-Based Diet in Myeloma Precursor Disorders: Results from the NUTRIVENTION Clinical Trial and Preclinical Vk*MYC Model."}],"sample_intervention_arms":{"diet_intervention":37,"no_intervention":17},"sex":{},"title":"NUTRIVENTION Trial Data","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1367192","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1367192_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1367192.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1367192.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1367192.csv.gz"}},{"accession":"PRJNA898150","age_categories":{"adult":52},"countries":{"CN":52},"first_public_year":"2024","gbp_per_sample_median":6.65,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":52},"intervention_design":"single_arm_before_after","intervention_detail":"Lifestyle intervention (diet/exercise) in GDM patients, responders vs non-responders","interventions":["diet_intervention","exercise"],"n_samples":52,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Gut Bacterium Bilophila wadsworthia impeded lifestyle intervention response in Gestational Diabetes Mellitus","trial_population_condition":"other_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA898150","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA898150_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA898150.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA898150.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA898150.csv.gz"}},{"accession":"PRJNA1007579","age_categories":{"adult":51},"countries":{"CN":51},"first_public_year":"2024","gbp_per_sample_median":7.31,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":51},"intervention_design":"single_arm_before_after","intervention_detail":"10-day complete fasting regimen in healthy male volunteers","interventions":["diet_intervention"],"n_samples":51,"papers":[{"doi":"10.3390/nu17010035","pmcid":"PMC11722564","pmid":"39796469","title":"Effects of Long-Term Fasting on Gut Microbiota, Serum Metabolome, and Their Association in Male Adults."}],"sample_intervention_arms":{},"sex":{"male":51},"title":"FECAL Raw sequence reads","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1007579","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1007579_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1007579.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1007579.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1007579.csv.gz"}},{"accession":"PRJEB28847","age_categories":{"child":48},"countries":{"SE":48},"first_public_year":"2018","gbp_per_sample_median":1.25,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":24,"neurological_psychiatric":24},"intervention_design":"unknown","intervention_detail":"Ketogenic diet for 3 months vs parent diet controls","interventions":["diet_intervention"],"n_samples":48,"papers":[{"doi":"10.1038/s41522-018-0073-2","pmcid":"PMC6344533","pmid":"30701077","title":"The ketogenic diet influences taxonomic and functional composition of the gut microbiota in children with severe epilepsy."},{"doi":"10.1016/j.ebiom.2022.104061","pmcid":"PMC9126955","pmid":"35598439","title":"Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet."},{"doi":"10.1016/j.ebiom.2024.105400","pmcid":"PMC11570732","pmid":"39500011","title":"Association between seizure reduction during ketogenic diet treatment of epilepsy and changes in circulatory metabolites and gut microbiota composition."}],"sample_intervention_arms":{"diet_intervention":22,"no_intervention":24},"sex":{},"title":"The ketogenic diet influences taxonomic and functional composition of the gut microbiota in children with severe epilepsy","trial_population_condition":"neurological_psychiatric","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB28847","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB28847_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB28847.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB28847.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB28847.csv.gz"}},{"accession":"PRJNA1484494","age_categories":{"child":48},"countries":{"CN":48},"first_public_year":"2026","gbp_per_sample_median":1.84,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"neurological_psychiatric":48},"intervention_design":"non_randomized_controlled","intervention_detail":"FMT vs ketogenic diet in children with ASD","interventions":["diet_intervention","fmt"],"n_samples":48,"papers":[{"doi":"10.1186/s12888-026-08547-3","pmcid":"PMC13536674","pmid":"42687165","title":"Comparison of clinical efficacy and gut microbiota characteristics in children with ASD treated with fecal microbiota transplantation and ketogenic diet."}],"sample_intervention_arms":{"diet_intervention":24,"fmt":24},"sex":{},"title":"FMT-KD-Metagenomic raw data Metagenome","trial_population_condition":"autoimmune_inflammatory","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1484494","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1484494_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1484494.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1484494.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1484494.csv.gz"}},{"accession":"PRJNA420817","age_categories":{"adult":48},"countries":{},"first_public_year":"2018","gbp_per_sample_median":5.23,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":48},"intervention_design":"single_arm_before_after","intervention_detail":"Isocaloric low-carbohydrate diet, short-term, in obese NAFLD subjects","interventions":["diet_intervention"],"n_samples":48,"papers":[{"doi":"10.1016/j.cmet.2018.01.005","pmcid":"PMC6706084","pmid":"29456073","title":"An Integrated Understanding of the Rapid Metabolic Benefits of a Carbohydrate-Restricted Diet on Hepatic Steatosis in Humans."},{"doi":"10.3390/ijms22073652","pmcid":"PMC8038126","pmid":"33915727","title":"Diet-Related Alterations of Gut Bile Salt Hydrolases Determined Using a Metagenomic Analysis of the Human Microbiome."},{"doi":"10.1152/physiolgenomics.00011.2021","pmcid":"PMC8424563","pmid":"34151600","title":"Alterations in bile acid metabolizing gut microbiota and specific bile acid genes as a precision medicine to subclassify NAFLD."},{"doi":"10.1186/s40168-023-01604-z","pmcid":"PMC10408196","pmid":"37553697","title":"Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions."},{"doi":"10.1128/msystems.00817-24","pmcid":"PMC11748489","pmid":"39688414","title":"Systematic identification of secondary bile acid production genes in global microbiome."}],"sample_intervention_arms":{},"sex":{},"title":"gut microbiome in subjects with NAFLD Metagenome","trial_population_condition":"liver_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA420817","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA420817_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA420817.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA420817.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA420817.csv.gz"}},{"accession":"PRJEB49521","age_categories":{"child":46},"countries":{"SE":46},"first_public_year":"2022","gbp_per_sample_median":1.29,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"neurological_psychiatric":46},"intervention_design":"single_arm_before_after","intervention_detail":"Ketogenic diet 3 months for drug-resistant epilepsy","interventions":["diet_intervention"],"n_samples":46,"papers":[{"doi":"10.1016/j.ebiom.2022.104061","pmcid":"PMC9126955","pmid":"35598439","title":"Higher levels of Bifidobacteria and tumor necrosis factor in children with drug-resistant epilepsy are associated with anti-seizure response to the ketogenic diet."},{"doi":"10.1016/j.ebiom.2024.105400","pmcid":"PMC11570732","pmid":"39500011","title":"Association between seizure reduction during ketogenic diet treatment of epilepsy and changes in circulatory metabolites and gut microbiota composition."}],"sample_intervention_arms":{},"sex":{},"title":"Metagenomic changes during ketogenic diet - follow up to PRJEB28847","trial_population_condition":"neurological_psychiatric","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB49521","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB49521_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB49521.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB49521.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB49521.csv.gz"}},{"accession":"PRJDB18359","age_categories":{"adult":45},"countries":{"JP":45},"first_public_year":"2025","gbp_per_sample_median":7.75,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":45},"intervention_design":"single_arm_before_after","intervention_detail":"Controlled diet study examining digestion/absorption and energy balance","interventions":["diet_intervention"],"n_samples":45,"papers":[{"doi":"10.1080/19490976.2025.2514137","pmcid":"PMC12150606","pmid":"40488306","title":"Effect of short-term dietary intervention on fecal serotonin, gut microbiome-derived tryptophanase, and energy absorption in a randomized crossover trial: an exploratory analysis."}],"sample_intervention_arms":{"diet_intervention":45},"sex":{"female":9,"male":36},"title":"Gut microbiota of dietary intervention study","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJDB18359","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJDB18359_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJDB18359.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJDB18359.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJDB18359.csv.gz"}},{"accession":"PRJNA1173239","age_categories":{"infant":45},"countries":{"US":45},"first_public_year":"2024","gbp_per_sample_median":1.97,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":45},"intervention_design":"single_arm_before_after","intervention_detail":"Dietary ornithine, MSG, or histidine supplementation in mice colonized with A. baumannii","interventions":["diet_intervention"],"n_samples":45,"papers":[{"doi":"10.1016/j.chom.2025.07.003","pmcid":"PMC12375414","pmid":"40763731","title":"Amino acid competition shapes Acinetobacter baumannii gut carriage."},{"doi":"10.1038/s41467-026-73398-1","pmcid":"PMC13381908","pmid":"42161945","title":"Glucuronidation metabolomic fingerprinting to map host-microbe metabolism."}],"sample_intervention_arms":{},"sex":{},"title":"Amino acid competition shapes Acinetobacter baumannii gut carriage","trial_population_condition":"gi_infection_or_diarrhoea","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1173239","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1173239_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1173239.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1173239.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1173239.csv.gz"}},{"accession":"PRJEB57228","age_categories":{"adult":23,"elderly":21},"countries":{"DE":44},"first_public_year":"2024","gbp_per_sample_median":18.18,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":21,"neurological_psychiatric":23},"intervention_design":"single_arm_before_after","intervention_detail":"4-week high-fibre diet with lactulose prebiotic","interventions":["diet_intervention","prebiotic_or_fibre"],"n_samples":44,"papers":[{"doi":"10.1038/s41531-025-00885-5","pmcid":"PMC11968880","pmid":"40180909","title":"A prebiotic dietary pilot intervention restores faecal metabolites and may be neuroprotective in Parkinson's Disease."}],"sample_intervention_arms":{},"sex":{"female":22,"male":22},"title":"Dietary intervention of people with Parkinson's disease","trial_population_condition":"neurological_psychiatric","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB57228","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB57228_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB57228.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB57228.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB57228.csv.gz"}},{"accession":"PRJNA947193","age_categories":{"unknown":44},"countries":{"US":44},"first_public_year":"2023","gbp_per_sample_median":2.72,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":44},"intervention_design":"crossover","intervention_detail":"Randomized crossover controlled feeding: Western diet vs Microbiome Enhancer Diet","interventions":["diet_intervention"],"n_samples":44,"papers":[{"doi":"10.1038/s41467-023-38778-x","pmcid":"PMC10232526","pmid":"37258525","title":"Host-diet-gut microbiome interactions influence human energy balance: a randomized clinical trial."},{"doi":"10.1038/s42255-025-01220-1","pmcid":"PMC11949708","pmid":"39966520","title":"Metagenomic estimation of dietary intake from human stool."},{"doi":"10.1093/ismejo/wraf103","pmcid":"PMC12156016","pmid":"40403748","title":"Methanogenesis associated with altered microbial production of short-chain fatty acids and human-host metabolizable energy."}],"sample_intervention_arms":{},"sex":{},"title":"Host-Diet-Gut Microbiome Interactions Influence Human Energy Balance: a Randomized Clinical Trial","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA947193","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA947193_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA947193.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA947193.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA947193.csv.gz"}},{"accession":"PRJNA1333642","age_categories":{"adult":43},"countries":{"CH":43},"first_public_year":"2026","gbp_per_sample_median":3.5,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"2-week ketogenic diet vs energy-matched standard diet, 30% deficit","interventions":["diet_intervention"],"n_samples":43,"papers":[{"doi":"10.1111/dom.70364","pmcid":"PMC12890762","pmid":"41395693","title":"Taxonomic and functional shifts in the microbiome of severely obese, prediabetic patients: Ketogenic diet versus energy-matched standard diet."}],"sample_intervention_arms":{},"sex":{},"title":"Microbiome of Severely Obese Prediabetic Patients under Ketogenic Diet","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1333642","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1333642_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1333642.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1333642.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1333642.csv.gz"}},{"accession":"PRJEB26089","age_categories":{"adult":42},"countries":{"SE":42},"first_public_year":"2018","gbp_per_sample_median":5.5,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":42},"intervention_design":"single_arm_before_after","intervention_detail":"3-months lacto-ovo-vegetarian diet in healthy omnivorous volunteers","interventions":["diet_intervention"],"n_samples":42,"papers":[{"doi":"10.3389/fimmu.2018.00908","pmcid":"PMC5934425","pmid":"29755475","title":"Impact of a 3-Months Vegetarian Diet on the Gut Microbiota and Immune Repertoire."}],"sample_intervention_arms":{},"sex":{},"title":"Impact-of-Vegetarian-Diet","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB26089","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB26089_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB26089.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB26089.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB26089.csv.gz"}},{"accession":"PRJNA981497","age_categories":{"unknown":42},"countries":{"IN":42},"first_public_year":"2025","gbp_per_sample_median":10.42,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"ibs":14,"other_disease":28},"intervention_design":"single_arm_before_after","intervention_detail":"6-week gluten free diet in NCGS patients, before/after sampling","interventions":[],"n_samples":42,"papers":[{"doi":"10.1080/29933935.2024.2438621","pmcid":"PMC12940131","pmid":"41907719","title":"Site-Specific Gut Microbial Signatures in Non-Celiac Gluten Sensitivity."},{"doi":"10.1128/msphere.00856-25","pmcid":"PMC13123714","pmid":"41910342","title":"Multi-meta-omics reveal distinct microbial genomic profiles and metabolic dysregulation in non-celiac gluten sensitivity."}],"sample_intervention_arms":{"diet_intervention":14,"no_intervention":14},"sex":{},"title":"Shotgun Metagenomics data for NCGS and IBS patients","trial_population_condition":"ibs","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA981497","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA981497_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA981497.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA981497.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA981497.csv.gz"}},{"accession":"PRJEB127029","age_categories":{"adult":40},"countries":{"SE":40},"first_public_year":"2026","gbp_per_sample_median":2.41,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":40},"intervention_design":"single_arm_before_after","intervention_detail":"3-day barley kernel-based bread (BKB) feeding","interventions":["diet_intervention"],"n_samples":40,"papers":[{"doi":"10.1016/j.cmet.2015.10.001","pmcid":null,"pmid":"26552345","title":"Dietary Fiber-Induced Improvement in Glucose Metabolism Is Associated with Increased Abundance of Prevotella."}],"sample_intervention_arms":{},"sex":{},"title":"Dietary Fiber-Induced Improvement in Glucose Metabolism Is Associated with Increased Abundance of Prevotella","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB127029","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB127029_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB127029.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB127029.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB127029.csv.gz"}},{"accession":"PRJEB63222","age_categories":{"adult":40},"countries":{"AT":40},"first_public_year":"2023","gbp_per_sample_median":6.55,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":40},"intervention_design":"crossover","intervention_detail":"Oat bran vs spelt bran fiber-rich flake mixes, one-week each, crossover","interventions":["diet_intervention","prebiotic_or_fibre"],"n_samples":40,"papers":[],"sample_intervention_arms":{"diet_intervention":20,"no_intervention":20},"sex":{},"title":"Short-term intake of fiber-rich oat bran but not spelt bran lowers bacterial endotoxin levels and improved health parameters in healthy women","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB63222","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB63222_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB63222.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB63222.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB63222.csv.gz"}},{"accession":"PRJNA1401532","age_categories":{"adolescent":14,"child":26},"countries":{"CN":40},"first_public_year":"2026","gbp_per_sample_median":13.18,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":40},"intervention_design":"unknown","intervention_detail":"Energy restriction and/or HIIT exercise in children with obesity","interventions":["diet_intervention","exercise"],"n_samples":40,"papers":[],"sample_intervention_arms":{},"sex":{"female":4,"male":36},"title":"Homo sapiens Metagenome","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1401532","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1401532_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1401532.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1401532.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1401532.csv.gz"}},{"accession":"PRJEB58222","age_categories":{"adult":37},"countries":{"DE":37},"first_public_year":"2023","gbp_per_sample_median":9.63,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"other_cancer":37},"intervention_design":"unknown","intervention_detail":"FMT, tryptophan diet manipulation, oral 3-IAA, chemotherapy in mouse models; human cohorts observed","interventions":["diet_intervention","dietary_supplement","drug_therapy","fmt"],"n_samples":37,"papers":[{"doi":"10.1038/s41586-023-05728-y","pmcid":"PMC9977685","pmid":"36813961","title":"Microbiota-derived 3-IAA influences chemotherapy efficacy in pancreatic cancer."}],"sample_intervention_arms":{},"sex":{},"title":"Microbiota-derived 3-IAA influences chemotherapy efficacy in pancreatic cancer","trial_population_condition":"other_cancer","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB58222","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB58222_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB58222.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB58222.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB58222.csv.gz"}},{"accession":"PRJEB90537","age_categories":{"adult":37},"countries":{"DE":37},"first_public_year":"2025","gbp_per_sample_median":11.96,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":37},"intervention_design":"single_arm_before_after","intervention_detail":"Standardized diet with defined glycerol-containing meals, 20 volunteers","interventions":["diet_intervention"],"n_samples":37,"papers":[{"doi":"10.1002/mnfr.70289","pmcid":"PMC12700045","pmid":"41159664","title":"Microbial Transformation of Dietary Glycerol Contributes to Intestinal Acrolein Formation and Urinary Excretion."}],"sample_intervention_arms":{},"sex":{},"title":"iTarmen","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB90537","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB90537_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB90537.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB90537.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB90537.csv.gz"}},{"accession":"PRJEB43147","age_categories":{"adult":36},"countries":{"ES":36},"first_public_year":"2021","gbp_per_sample_median":0.34,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":36},"intervention_design":"single_arm_before_after","intervention_detail":"6-month weight-loss diet intervention in obesity, ≥10% weight loss achieved","interventions":["diet_intervention"],"n_samples":36,"papers":[{"doi":"10.1002/ctm2.575","pmcid":"PMC8571947","pmid":"34841718","title":"Changes in glucagon-like peptide 1 and 2 levels in people with obesity after a diet-induced weight-loss intervention are related to a specific microbiota signature: A prospective cohort study."},{"doi":"10.1016/j.ebiom.2025.105827","pmcid":"PMC12240114","pmid":"40561776","title":"Dietary switch and intermittent fasting ameliorate the disrupted postprandial short-chain fatty acid response in diet-induced obese mice."}],"sample_intervention_arms":{},"sex":{},"title":"Changes in GLP-1 and GLP-2 levels in people with obesity after a diet-induced weight-loss intervention and association with specific microbiota signature","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB43147","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB43147_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB43147.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB43147.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB43147.csv.gz"}},{"accession":"PRJNA701497","age_categories":{"adult":36},"countries":{"NZ":36},"first_public_year":"2021","gbp_per_sample_median":3.78,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"intervention_cohort":36},"intervention_design":"randomized_controlled_trial","intervention_detail":"Lactobacillus rhamnosus HN001 6x10^9 CFU/day plus 5:2 intermittent fasting, 12 weeks","interventions":["diet_intervention","probiotic"],"n_samples":36,"papers":[{"doi":"10.3390/nu12113530","pmcid":"PMC7698325","pmid":"33212907","title":"PROFAST: A Randomized Trial Assessing the Effects of Intermittent Fasting and  Lacticaseibacillus rhamnosus  Probiotic among People with Prediabetes."}],"sample_intervention_arms":{"no_intervention":18,"placebo":7,"probiotic":11},"sex":{"female":24,"male":12},"title":"Intermittent fasting and probiotic supplementation in adults with prediabetes (PROFAST pilot trial ) - shotgun metagenomics data","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA701497","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA701497_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA701497.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA701497.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA701497.csv.gz"}},{"accession":"PRJNA755720","age_categories":{"adult":35},"countries":{"ES":35},"first_public_year":"2021","gbp_per_sample_median":3.67,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":35},"intervention_design":"unknown","intervention_detail":"","interventions":[],"n_samples":35,"papers":[{"doi":"10.3390/nu13082638","pmcid":"PMC8400818","pmid":"34444797","title":"Differential Effects of Western and Mediterranean-Type Diets on Gut Microbiota: A Metagenomics and Metabolomics Approach."}],"sample_intervention_arms":{"diet_intervention":35},"sex":{"male":35},"title":"Differential effects of western and mediterranean-type diets on gut microbiota: a metagenomics and metabolomics approach","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA755720","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA755720_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA755720.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA755720.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA755720.csv.gz"}},{"accession":"PRJNA1516599","age_categories":{"adult":34},"countries":{"US":34},"first_public_year":"2026","gbp_per_sample_median":6.69,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":34},"intervention_design":"crossover","intervention_detail":"Pea protein vs egg white protein diet, 10 days","interventions":["diet_intervention"],"n_samples":34,"papers":[{"doi":"10.64898/2026.07.27.741049","pmcid":null,"pmid":null,"title":"Diet-derived peptides mediate the effects of dietary protein source on gastrointestinal health"}],"sample_intervention_arms":{"diet_intervention":34},"sex":{"female":12,"male":22},"title":"Dietary protein source impacts the gut microbiota in healthy humans","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1516599","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1516599_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1516599.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1516599.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1516599.csv.gz"}},{"accession":"PRJNA529487","age_categories":{"adult":34},"countries":{"US":34},"first_public_year":"2019","gbp_per_sample_median":6.71,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"obesity":34},"intervention_design":"crossover","intervention_detail":"Ketogenic diet vs baseline diet, crossover","interventions":["diet_intervention"],"n_samples":34,"papers":[{"doi":"10.1016/j.cell.2020.04.027","pmcid":"PMC7293577","pmid":"32437658","title":"Ketogenic Diets Alter the Gut Microbiome Resulting in Decreased Intestinal Th17 Cells."},{"doi":"10.3390/ijms22073652","pmcid":"PMC8038126","pmid":"33915727","title":"Diet-Related Alterations of Gut Bile Salt Hydrolases Determined Using a Metagenomic Analysis of the Human Microbiome."},{"doi":"10.1093/gigascience/giaf072","pmcid":"PMC12199706","pmid":"40569694","title":"Integrating comparative genomics and risk classification by assessing virulence, antimicrobial resistance, and plasmid spread in microbial communities with gSpreadComp."}],"sample_intervention_arms":{"diet_intervention":17,"no_intervention":17},"sex":{},"title":"Ketogenic diet and the gut microbiome","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA529487","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA529487_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA529487.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA529487.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA529487.csv.gz"}},{"accession":"PRJEB30307","age_categories":{"adult":31},"countries":{"GB":31},"first_public_year":"2019","gbp_per_sample_median":5.91,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"Low residue diet trial in patients with neurological disorders and GI symptoms","interventions":["diet_intervention"],"n_samples":31,"papers":[{"doi":"10.1016/j.gastha.2022.03.007","pmcid":"PMC11307892","pmid":"39132075","title":"Phase II Feasibility Study of the Efficacy, Tolerability, and Impact on the Gut Microbiome of a Low-Residue (Fiber) Diet in Adult Patients With Mitochondrial Disease."}],"sample_intervention_arms":{"diet_intervention":10,"no_intervention":20},"sex":{},"title":"The effects of a low residue diet study on gastrointestinal symptoms.","trial_population_condition":"neurological_psychiatric","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB30307","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB30307_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB30307.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB30307.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB30307.csv.gz"}},{"accession":"PRJEB109268","age_categories":{"adult":30},"countries":{"MT":30},"first_public_year":"2026","gbp_per_sample_median":0.78,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"non_randomized_controlled","intervention_detail":"Three-month dietary intervention plus microbiota-targeted supplementation in hybrid-sport athletes vs sedentary","interventions":["diet_intervention","dietary_supplement","exercise"],"n_samples":30,"papers":[{"doi":"10.3389/fspor.2026.1868776","pmcid":"PMC13490064","pmid":"42625862","title":"Hybrid-sport participation is associated with gut microbiota composition: an exploratory longitudinal study."}],"sample_intervention_arms":{"diet_intervention":12,"synbiotic":18},"sex":{"female":12,"male":18},"title":"Gut Microbiome Personalized Sports nutrition (GUMPS)","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB109268","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB109268_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB109268.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB109268.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB109268.csv.gz"}},{"accession":"PRJNA1046298","age_categories":{"adult":30},"countries":{"IN":30},"first_public_year":"2023","gbp_per_sample_median":0.12,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"type2_diabetes":30},"intervention_design":"randomized_controlled_trial","intervention_detail":"Microbiome-based personalized diet vs diabetic nutritional guidance, 3 months","interventions":["diet_intervention"],"n_samples":30,"papers":[{"doi":"10.7717/peerj.17583","pmcid":"PMC11214429","pmid":"38948211","title":"Microbiota based personalized nutrition improves hyperglycaemia and hypertension parameters and reduces inflammation: a prospective, open label, controlled, randomized, comparative, proof of concept s"}],"sample_intervention_arms":{},"sex":{},"title":"Microbiota based personalized nutrition improves hyperglycaemia and hypertension parameters and reduces inflammation: A prospective, open label, controlled, randomized, comparative, proof of concept study.","trial_population_condition":"type2_diabetes","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1046298","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1046298_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1046298.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1046298.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1046298.csv.gz"}},{"accession":"PRJNA939268","age_categories":{"adult":30},"countries":{"SG":30},"first_public_year":"2023","gbp_per_sample_median":7.2,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":30},"intervention_design":"single_arm_before_after","intervention_detail":"21-day plant-based 'AWE' diet (OsomeFood Clean Label meals), 5 days/week","interventions":["diet_intervention"],"n_samples":30,"papers":[{"doi":"10.1186/s12866-023-02822-z","pmcid":"PMC10061721","pmid":"36997838","title":"Effects of OsomeFood Clean Label plant-based meals on the gut microbiome."}],"sample_intervention_arms":{"diet_intervention":20,"no_intervention":10},"sex":{"female":15,"male":15},"title":"Effect of AWE diet on the gut microbiome","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA939268","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA939268_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA939268.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA939268.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA939268.csv.gz"}},{"accession":"PRJNA981159","age_categories":{"adult":30},"countries":{"US":30},"first_public_year":"2023","gbp_per_sample_median":3.26,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"healthy_control":30},"intervention_design":"crossover","intervention_detail":"Sequential vegan vs ketogenic diet, 2 weeks each, randomized order","interventions":["diet_intervention"],"n_samples":30,"papers":[{"doi":"10.1038/s41591-023-02761-2","pmcid":"PMC10878979","pmid":"38291301","title":"Differential peripheral immune signatures elicited by vegan versus ketogenic diets in humans."}],"sample_intervention_arms":{"diet_intervention":20,"no_intervention":10},"sex":{"female":15,"male":15},"title":"Differential peripheral immune signatures elicited by vegan versus ketogenic diets in humans","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA981159","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA981159_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA981159.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA981159.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA981159.csv.gz"}},{"accession":"PRJNA915838","age_categories":{"adult":26},"countries":{"CN":26},"first_public_year":"2026","gbp_per_sample_median":14.41,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":26},"intervention_design":"single_arm_before_after","intervention_detail":"Multiphase modified ketogenic diet (MDP-i-KD), 12 weeks","interventions":["diet_intervention"],"n_samples":26,"papers":[{"doi":"10.3390/nu15194163","pmcid":"PMC10574165","pmid":"37836447","title":"Weight Loss Promotion in Individuals with Obesity through Gut Microbiota Alterations with a Multiphase Modified Ketogenic Diet."}],"sample_intervention_arms":{},"sex":{},"title":"human gut metagenome Raw sequence reads","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA915838","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA915838_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA915838.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA915838.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA915838.csv.gz"}},{"accession":"PRJEB38258","age_categories":{"adult":24},"countries":{"GB":24},"first_public_year":"2025","gbp_per_sample_median":54.01,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"colorectal_cancer":17,"healthy_control":7},"intervention_design":"observational_with_procedure","intervention_detail":"Distal feeding into defunctioned bowel after stoma surgery","interventions":["diet_intervention"],"n_samples":24,"papers":[{"doi":"10.64898/2026.01.05.26343439","pmcid":null,"pmid":null,"title":"Improving operative outcomes in patients with stomas"}],"sample_intervention_arms":{},"sex":{"female":13,"male":11},"title":"The long-term impact of distal feeding on patients with stoma","trial_population_condition":"colorectal_cancer","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB38258","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB38258_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB38258.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB38258.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB38258.csv.gz"}},{"accession":"PRJNA1440040","age_categories":{"unknown":22},"countries":{"CN":22},"first_public_year":"2026","gbp_per_sample_median":10.49,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"intervention_cohort":22},"intervention_design":"single_arm_before_after","intervention_detail":"Exercise and dietary intervention, pre/post in children/adolescents","interventions":["diet_intervention","exercise"],"n_samples":22,"papers":[],"sample_intervention_arms":{"diet_intervention":11,"exercise":11,"no_intervention":11},"sex":{},"title":"Human gut metagenome sequencing in children and adolescents before and after exercise and dietary intervention","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1440040","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1440040_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1440040.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1440040.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1440040.csv.gz"}},{"accession":"PRJNA1032744","age_categories":{"child":20},"countries":{"US":20},"first_public_year":"2023","gbp_per_sample_median":1.1,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"other_disease":20},"intervention_design":"single_arm_before_after","intervention_detail":"Clinical ketogenic diet therapy in children with refractory epilepsy","interventions":["diet_intervention"],"n_samples":20,"papers":[{"doi":"10.1016/j.celrep.2023.113521","pmcid":"PMC10769314","pmid":"38070135","title":"Ketogenic diet therapy for pediatric epilepsy is associated with alterations in the human gut microbiome that confer seizure resistance in mice."}],"sample_intervention_arms":{},"sex":{},"title":"Ketogenic diet therapy for pediatric epilepsy is associated with alterations in the human gut microbiome that confer seizure resistance in mice","trial_population_condition":"neurological_psychiatric","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1032744","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1032744_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1032744.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1032744.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1032744.csv.gz"}},{"accession":"PRJNA819247","age_categories":{"infant":20},"countries":{"AU":20},"first_public_year":"2022","gbp_per_sample_median":5.69,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"2-week reduced fat and sugar maternal diet during lactation; infant stool before/after","interventions":["diet_intervention"],"n_samples":20,"papers":[{"doi":"10.3389/fmicb.2022.900702","pmcid":"PMC9428759","pmid":"36060782","title":"Effect of a reduced fat and sugar maternal dietary intervention during lactation on the infant gut microbiome."}],"sample_intervention_arms":{},"sex":{},"title":"Infant gut microbiome Raw sequence reads","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA819247","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA819247_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA819247.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA819247.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA819247.csv.gz"}},{"accession":"PRJNA1179893","age_categories":{"unknown":16},"countries":{"US":16},"first_public_year":"2024","gbp_per_sample_median":6.64,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"gi_infection_or_diarrhoea":16},"intervention_design":"unknown","intervention_detail":"Low-fiber dietary intervention in humans; fiber-free vs fiber-rich diet in mice","interventions":["diet_intervention"],"n_samples":16,"papers":[{"doi":"10.1053/j.gastro.2025.04.027","pmcid":"PMC12353941","pmid":"40383305","title":"Dietary Fiber Modulates the Window of Susceptibility to Clostridioides difficile Infection."}],"sample_intervention_arms":{"diet_intervention":13,"no_intervention":3},"sex":{},"title":"Dietary fiber modulates the window of susceptibility to Clostridioides difficile infection","trial_population_condition":"gi_infection_or_diarrhoea","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1179893","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1179893_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1179893.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1179893.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1179893.csv.gz"}},{"accession":"PRJNA1297975","age_categories":{"unknown":16},"countries":{"CN":16},"first_public_year":"2025","gbp_per_sample_median":7.1,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Mediterranean diet feeding intervention in mouse MASLD model","interventions":["diet_intervention"],"n_samples":16,"papers":[{"doi":"10.3389/fnut.2025.1644014","pmcid":"PMC12378279","pmid":"40873449","title":"Multi-omics integration reveals the impact of mediterranean diet on hepatic metabolism and gut microbiota in mice with metabolic dysfunction-associated steatotic liver disease."}],"sample_intervention_arms":{},"sex":{},"title":"Mediterranean diet intervention for intestinal microecology in metabolic-related fatty liver disease","trial_population_condition":"liver_disease","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1297975","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1297975_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1297975.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1297975.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1297975.csv.gz"}},{"accession":"PRJEB28701","age_categories":{"unknown":12},"countries":{"AU":12},"first_public_year":"2020","gbp_per_sample_median":5.04,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"non_randomized_controlled","intervention_detail":"Isocaloric high-carbohydrate vs high-fat diet, 4 weeks","interventions":["diet_intervention"],"n_samples":12,"papers":[],"sample_intervention_arms":{"diet_intervention":12},"sex":{},"title":"Pilot study to compare the effects of high carbohydrate and high fat diets on gut microbiome","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB28701","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB28701_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB28701.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB28701.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB28701.csv.gz"}},{"accession":"PRJEB29060","age_categories":{"unknown":12},"countries":{"CL":12},"first_public_year":"2018","gbp_per_sample_median":6.28,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"obesity":12},"intervention_design":"observational_with_procedure","intervention_detail":"Bariatric surgery in obese subjects, pre/post sampling","interventions":["surgery"],"n_samples":12,"papers":[{"doi":"10.3389/fmicb.2019.02346","pmcid":"PMC6812679","pmid":"31681211","title":"Cross-Regional View of Functional and Taxonomic Microbiota Composition in Obesity and Post-obesity Treatment Shows Country Specific Microbial Contribution."}],"sample_intervention_arms":{"diet_intervention":4,"surgery":8},"sex":{},"title":"Functional changes after bariatric surgery by shotgun metagenomic sequencing in obese Chilean subjects","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB29060","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB29060_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB29060.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB29060.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB29060.csv.gz"}},{"accession":"PRJEB62783","age_categories":{"adult":12},"countries":{"DE":12},"first_public_year":"2023","gbp_per_sample_median":4.9,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":12},"intervention_design":"crossover","intervention_detail":"Fiber-rich vs fiber-poor diet 5 days each, stool FMT into germ-free mice","interventions":["diet_intervention"],"n_samples":12,"papers":[{"doi":"10.1038/s41590-023-01587-x","pmcid":"PMC10457203","pmid":"37580603","title":"Short-term dietary changes can result in mucosal and systemic immune depression."}],"sample_intervention_arms":{"diet_intervention":12},"sex":{"female":12},"title":"Synchronized response of CD4+ T cells to short-term dietary changes leads to windows of mucosal and systemic immune depression","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB62783","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB62783_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB62783.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB62783.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB62783.csv.gz"}},{"accession":"PRJNA46879","age_categories":{"unknown":9},"countries":{},"first_public_year":"2010","gbp_per_sample_median":0.02,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"crohns_disease":8},"intervention_design":"crossover","intervention_detail":"High vs low sulfur amino acid diets, 10-14 days each","interventions":["diet_intervention"],"n_samples":9,"papers":[{"doi":"10.1080/19490976.2018.1559682","pmcid":"PMC6748593","pmid":"30810441","title":"Influence of short-term changes in dietary sulfur on the relative abundances of intestinal sulfate-reducing bacteria."},{"doi":"10.1016/j.chom.2019.06.013","pmcid":"PMC6708278","pmid":"31324413","title":"Meta-Analysis Reveals Reproducible Gut Microbiome Alterations in Response to a High-Fat Diet."},{"doi":"10.1371/journal.pcbi.1006099","pmcid":"PMC5927471","pmid":"29668682","title":"Biogeography and environmental conditions shape bacteriophage-bacteria networks across the human microbiome."}],"sample_intervention_arms":{},"sex":{},"title":"Diet, Genetic Factors, and the Gut Microbiome in Crohn's Disease","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA46879","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA46879_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA46879.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA46879.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA46879.csv.gz"}},{"accession":"PRJEB18557","age_categories":{"child":7},"countries":{"CN":7},"first_public_year":"2017","gbp_per_sample_median":8.42,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"other_disease":7},"intervention_design":"single_arm_before_after","intervention_detail":"105-day diet enriched with nondigestible carbohydrates","interventions":["diet_intervention","prebiotic_or_fibre"],"n_samples":7,"papers":[{"doi":"10.1128/mbio.02348-16","pmcid":"PMC5312088","pmid":"28196965","title":"Genomic Microdiversity of Bifidobacterium pseudocatenulatum Underlying Differential Strain-Level Responses to Dietary Carbohydrate Intervention."}],"sample_intervention_arms":{},"sex":{},"title":"An obese child finished a 105-days intervenion enriched with non-digestable carbohydrates","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB18557","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB18557_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB18557.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB18557.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB18557.csv.gz"}},{"accession":"PRJDB8879","age_categories":{"unknown":4},"countries":{"KR":4},"first_public_year":"2024","gbp_per_sample_median":6.93,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"Fermented soybean paste (Cheonggukjang) feeding/consumption","interventions":["diet_intervention"],"n_samples":4,"papers":[{"doi":"10.1038/s41467-025-57088-y","pmcid":"PMC11836353","pmid":"39966439","title":"Species-resolved profiling of antibiotic resistance genes in complex metagenomes through long-read overlapping with Argo."}],"sample_intervention_arms":{},"sex":{},"title":"Response of gut microbial community to fermented soybean paste (Cheonggukjang)","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJDB8879","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJDB8879_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJDB8879.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJDB8879.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJDB8879.csv.gz"}}],"release":"R2026.25"}