{"filter":{"health_condition":"pregnancy_postpartum"},"n_projects":64,"projects":[{"accession":"PRJEB11419","age_categories":{"adolescent":93,"adult":4213,"child":99,"elderly":790,"infant":79,"neonate":1,"unknown":2078},"countries":{"AE":2,"AT":3,"AU":25,"BE":9,"BR":3,"CA":45,"CH":3,"CN":2,"CR":1,"CZ":1,"DE":15,"ES":481,"FM":1,"FR":10,"GB":864,"GE":1,"HK":2,"HR":2,"IE":6,"IT":5,"JE":1,"JP":528,"LV":2,"MD":1,"MN":2,"MX":547,"MY":1,"NL":4,"NO":5,"NZ":1,"PH":86,"PR":1,"RS":3,"SE":1,"TH":6,"US":3501,"ZA":2},"first_public_year":"2015","gbp_per_sample_median":0.12,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"autoimmune_inflammatory":419,"cardiometabolic_other":110,"crohns_disease":7,"gi_infection_or_diarrhoea":26,"healthy_control":241,"ibd_unspecified":46,"ibs":560,"kidney_disease":41,"liver_disease":40,"neurological_psychiatric":379,"other_cancer":218,"other_disease":925,"pregnancy_postpartum":1,"type2_diabetes":91,"ulcerative_colitis":14},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":7353,"papers":[{"doi":"10.1016/j.csbj.2020.08.028","pmcid":"PMC7516180","pmid":"33005310","title":"Multi-population cohort meta-analysis of human intestinal microbiota in early life reveals the existence of infant community state types (ICSTs)."},{"doi":"10.3389/fmolb.2022.949563","pmcid":"PMC9403272","pmid":"36032669","title":"Genomic reconstruction of short-chain fatty acid production by the human gut microbiota."},{"doi":"10.12938/bmfh.2023-043","pmcid":"PMC10767325","pmid":"38188664","title":"Heterogeneity of gut microbiome compositions in the third decade of life in Japanese women: insights from a comparative analysis."},{"doi":"10.1128/msystems.00929-24","pmcid":"PMC11494892","pmid":"39287373","title":"Exploring the vitamin biosynthesis landscape of the human gut microbiota."},{"doi":"10.1128/msystems.00031-18","pmcid":"PMC5954204","pmid":"29795809","title":"American Gut: an Open Platform for Citizen Science Microbiome Research."}],"sample_intervention_arms":{},"sex":{"female":3603,"male":2157},"title":"American Gut Project","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB11419","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB11419_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB11419.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB11419.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB11419.csv.gz"}},{"accession":"PRJEB108612","age_categories":{"unknown":5328},"countries":{"HK":5328},"first_public_year":"2026","gbp_per_sample_median":6.37,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":5328,"papers":[{"doi":"10.1002/imo2.70068","pmcid":"PMC12806111","pmid":"41676450","title":"MOMMY study profile: An integrative early-life multi-omics cohort in China."}],"sample_intervention_arms":{},"sex":{},"title":"MOMmy-Microbiome_Epigenome_Neurodevelopment","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB108612","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB108612_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB108612.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB108612.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB108612.csv.gz"}},{"accession":"PRJNA1468137","age_categories":{"unknown":4749},"countries":{"NL":4749},"first_public_year":"2026","gbp_per_sample_median":3.95,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":4749,"papers":[{"doi":"10.1038/s41586-026-10922-9","pmcid":null,"pmid":"42587158","title":"Maternal influences on infant gut microbiome and health."}],"sample_intervention_arms":{},"sex":{},"title":"Maternal influences on infant gut microbiome and health","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1468137","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1468137_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1468137.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1468137.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1468137.csv.gz"}},{"accession":"PRJEB70237","age_categories":{"adult":427,"infant":2236,"unknown":1},"countries":{"FI":2664},"first_public_year":"2024","gbp_per_sample_median":12.87,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":1905,"pregnancy_postpartum":305},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":2664,"papers":[{"doi":"10.1016/j.ebiom.2024.105182","pmcid":"PMC11215963","pmid":"38838470","title":"Human milk oligosaccharide composition is affected by season and parity and associates with infant gut microbiota in a birth mode dependent manner in a Finnish birth cohort."},{"doi":"10.1080/19490976.2024.2383746","pmcid":"PMC11299627","pmid":"39092808","title":"A cohort study in family triads: impact of gut microbiota composition and early life exposures on intestinal resistome during the first two years of life."},{"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":{"female":1426,"male":1238},"title":"HELMi infant and parental stool WGS metagenomes","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB70237","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB70237_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB70237.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB70237.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB70237.csv.gz"}},{"accession":"PRJEB83236","age_categories":{"adult":283,"child":83,"elderly":10,"infant":578,"neonate":655},"countries":{"BD":1609},"first_public_year":"2025","gbp_per_sample_median":0.4,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":1609,"papers":[{"doi":"10.1128/msphere.00314-25","pmcid":"PMC12570478","pmid":"40951971","title":"Abundance of <i>Bifidobacterium</i> species in the infant gut microbiota and associations with maternal-infant characteristics in Dhaka, Bangladesh."},{"doi":"10.1128/msphere.00314-25","pmcid":"PMC12570478","pmid":"40951971","title":"Abundance of <i>Bifidobacterium</i> species in the infant gut microbiota and associations with maternal-infant characteristics in Dhaka, Bangladesh."},{"doi":"10.1016/j.chom.2025.11.002","pmcid":"PMC12875530","pmid":"41308639","title":"Environmental and maternal imprints on infant gut metabolic development."}],"sample_intervention_arms":{},"sex":{"female":1180,"male":429},"title":"SEPSIS Human Microbiome Study","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB83236","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB83236_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB83236.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB83236.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB83236.csv.gz"}},{"accession":"PRJNA1049511","age_categories":{"unknown":1566},"countries":{"HK":1566},"first_public_year":"2024","gbp_per_sample_median":5.57,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":1566,"papers":[{"doi":"10.1016/j.chom.2024.06.005","pmcid":null,"pmid":"38955186","title":"Maternal gestational diabetes mellitus associates with altered gut microbiome composition and head circumference abnormalities in male offspring."}],"sample_intervention_arms":{},"sex":{},"title":"Gestational diabetes mellitus (GDM) impacts the maternal or infant microbiome trajectory","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1049511","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1049511_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1049511.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1049511.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1049511.csv.gz"}},{"accession":"PRJNA1249435","age_categories":{"adult":238,"infant":569,"neonate":302},"countries":{"US":1109},"first_public_year":"2026","gbp_per_sample_median":16.07,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":1109,"papers":[],"sample_intervention_arms":{},"sex":{"female":654,"male":455},"title":"Neurobiological and neurocognitive consequences of diverse microbiome functional trajectories","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1249435","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1249435_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1249435.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1249435.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1249435.csv.gz"}},{"accession":"PRJEB62678","age_categories":{"adult":926},"countries":{"SE":765,"US":161},"first_public_year":"2024","gbp_per_sample_median":12.09,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"neurological_psychiatric":662,"pregnancy_postpartum":210},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":926,"papers":[{"doi":"10.1136/bmjopen-2019-031514","pmcid":"PMC6830667","pmid":"31641004","title":"Cohort profile: the Biology, Affect, Stress, Imaging and Cognition (BASIC) study on perinatal depression in a population-based Swedish cohort."},{"doi":"10.1186/s12864-025-12390-3","pmcid":"PMC12690974","pmid":"41353127","title":"Predicting allergy and postpartum depression from an incomplete compositional microbiome."},{"doi":"10.1016/j.bpsgos.2025.100453","pmcid":"PMC11925571","pmid":"40115744","title":"Investigating the Microbiome in Relation to Mental Distress Across Two Points During Pregnancy: Data From U.S. and Swedish Cohorts."}],"sample_intervention_arms":{},"sex":{"female":926},"title":"BASIC: Biology, Affect, Stress, Imaging and Cognition in pregnancy","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB62678","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB62678_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB62678.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB62678.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB62678.csv.gz"}},{"accession":"PRJNA850529","age_categories":{"adolescent":61,"adult":829,"elderly":33},"countries":{"PL":923},"first_public_year":"2023","gbp_per_sample_median":2.34,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"allergy_or_atopy":129,"autoimmune_inflammatory":40,"cardiometabolic_other":66,"ibd_unspecified":4,"ibs":21,"kidney_disease":3,"liver_disease":1,"pregnancy_postpartum":6},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":923,"papers":[{"doi":"10.1128/msystems.00986-22","pmcid":"PMC10134842","pmid":"36786595","title":"Host Factors Associated with Gut Mycobiome Structure."},{"doi":"10.1158/2326-6066.cir-23-0592","pmcid":"PMC10985481","pmid":"38315788","title":"Gut Mycobiota Dysbiosis Is Associated with Melanoma and Response to Anti-PD-1 Therapy."}],"sample_intervention_arms":{},"sex":{"female":438,"male":484},"title":"Host factors associated with gut mycobiome structure","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA850529","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA850529_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA850529.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA850529.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA850529.csv.gz"}},{"accession":"PRJNA821542","age_categories":{"infant":569,"neonate":198,"unknown":151},"countries":{"FI":918},"first_public_year":"2022","gbp_per_sample_median":1.84,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":23},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":918,"papers":[{"doi":"10.1016/j.ajcnut.2024.11.011","pmcid":"PMC11747200","pmid":"39551356","title":"Associations between dietary fibers and gut microbiome composition in the EDIA longitudinal infant cohort."},{"doi":"10.1186/s12859-025-06286-y","pmcid":"PMC12659350","pmid":"41299229","title":"Protein language models uncover carbohydrate-active enzyme function in metagenomics."}],"sample_intervention_arms":{},"sex":{},"title":"Longitudinal gut metagenomes from mothers and their infants in the EDIA study","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA821542","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA821542_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA821542.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA821542.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA821542.csv.gz"}},{"accession":"PRJNA1113165","age_categories":{"unknown":736},"countries":{"BF":736},"first_public_year":"2024","gbp_per_sample_median":20.14,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Balanced energy-protein supplementation during pregnancy and lactation","interventions":["dietary_supplement"],"n_samples":736,"papers":[{"doi":"10.1038/s41467-025-57838-y","pmcid":"PMC11920048","pmid":"40102379","title":"Maternal balanced energy-protein supplementation reshapes the maternal gut microbiome and enhances carbohydrate metabolism in infants: a randomized controlled trial."}],"sample_intervention_arms":{},"sex":{},"title":"Misame3 gut metagenomic","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1113165","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1113165_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1113165.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1113165.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1113165.csv.gz"}},{"accession":"PRJNA345144","age_categories":{"infant":470,"neonate":176},"countries":{"NZ":646},"first_public_year":"2019","gbp_per_sample_median":3.37,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"pregnancy_postpartum":646},"intervention_design":"randomized_controlled_trial","intervention_detail":"Bifidobacterium lactis HN019 or Lactobacillus rhamnosus HN001 vs placebo, pregnancy to infancy","interventions":["probiotic"],"n_samples":646,"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":"10.1038/s41467-022-32805-z","pmcid":"PMC9437082","pmid":"36050292","title":"A compendium of 32,277 metagenome-assembled genomes and over 80 million genes from the early-life human gut microbiome."},{"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":"10.3389/fmicb.2022.1006721","pmcid":"PMC9512645","pmid":"36177457","title":"Gut microbe metabolism of small molecules supports human development across the early stages of life."},{"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."}],"sample_intervention_arms":{"placebo":313,"probiotic":333},"sex":{"female":345,"male":301},"title":"Probiotics in Pregnancy study","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA345144","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA345144_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA345144.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA345144.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA345144.csv.gz"}},{"accession":"PRJNA1019702","age_categories":{"infant":334,"unknown":163},"countries":{"US":497},"first_public_year":"2024","gbp_per_sample_median":2.6,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":497,"papers":[{"doi":"10.1038/s41467-024-50282-4","pmcid":"PMC11266569","pmid":"39043677","title":"Human cytomegalovirus in breast milk is associated with milk composition and the infant gut microbiome and growth."},{"doi":"10.1016/j.xgen.2024.100638","pmcid":"PMC11602576","pmid":"39265573","title":"Human milk variation is shaped by maternal genetics and impacts the infant gut microbiome."},{"doi":"10.1038/s41467-025-66497-y","pmcid":"PMC12749357","pmid":"41274878","title":"Assembly of the infant gut microbiome and resistome are linked to bacterial strains in mother's milk."},{"doi":"10.1128/msystems.00305-26","pmcid":"PMC13288982","pmid":"42171373","title":"Metagenomic polymorphic toxin effector and immunity profiling predicts microbiome development and disease-related dysbiosis."}],"sample_intervention_arms":{},"sex":{"female":332,"male":160},"title":"MILK study metagenomic sequencing of human milk and infant feces","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1019702","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1019702_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1019702.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1019702.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1019702.csv.gz"}},{"accession":"PRJEB52774","age_categories":{"adult":145,"infant":245,"neonate":87},"countries":{"FI":477},"first_public_year":"2022","gbp_per_sample_median":5.53,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":72},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":477,"papers":[{"doi":"10.3389/fmicb.2022.953475","pmcid":"PMC9583133","pmid":"36274732","title":"Bacteroides abundance drives birth mode dependent infant gut microbiota developmental trajectories."},{"doi":"10.3389/fmicb.2023.1254535","pmcid":"PMC10508911","pmid":"37731926","title":"An extended catalog of integrated prophages in the infant and adult fecal microbiome shows high prevalence of lysogeny."},{"doi":null,"pmcid":null,"pmid":null,"title":""},{"doi":"10.1016/j.chom.2024.10.017","pmcid":null,"pmid":"39591974","title":"A metagenome-assembled genome inventory for children reveals early-life gut bacteriome and virome dynamics."}],"sample_intervention_arms":{},"sex":{"female":237,"male":240},"title":"HELMi infant stool WGS metagenomes (3 weeks to 1 year) and parental stool WGS metagenomes","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB52774","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB52774_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB52774.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB52774.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB52774.csv.gz"}},{"accession":"PRJNA725597","age_categories":{"unknown":355},"countries":{"SE":355},"first_public_year":"2021","gbp_per_sample_median":0.11,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":232},"intervention_design":"single_arm_before_after","intervention_detail":"Probiotic supplementation during pregnancy for perinatal microbiome seeding","interventions":["probiotic"],"n_samples":355,"papers":[{"doi":"10.1038/s41467-022-34409-z","pmcid":"PMC9649624","pmid":"36357382","title":"De novo identification of microbial contaminants in low microbial biomass microbiomes with Squeegee."}],"sample_intervention_arms":{},"sex":{},"title":"The role of maternal exposures on commensal microbes","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA725597","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA725597_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA725597.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA725597.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA725597.csv.gz"}},{"accession":"PRJNA1490646","age_categories":{"unknown":319},"countries":{"US":319},"first_public_year":"2026","gbp_per_sample_median":10.16,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":136},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":319,"papers":[{"doi":"10.1016/j.celrep.2026.117920","pmcid":null,"pmid":"42684889","title":"Mother-infant sharing of gut and vaginal microbes at the species and strain level."}],"sample_intervention_arms":{},"sex":{},"title":"Gut Microbiome of Pregnancy and Infancy","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1490646","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1490646_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1490646.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1490646.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1490646.csv.gz"}},{"accession":"PRJNA1099236","age_categories":{"adult":250},"countries":{"US":250},"first_public_year":"2025","gbp_per_sample_median":6.69,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":250,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Gut Microbiome and Pregnancy Complications","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1099236","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1099236_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1099236.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1099236.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1099236.csv.gz"}},{"accession":"PRJEB38528","age_categories":{"adult":223},"countries":{"SE":223},"first_public_year":"2020","gbp_per_sample_median":0.17,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"allergy_or_atopy":10,"autoimmune_inflammatory":15,"cardiometabolic_other":6,"crohns_disease":3,"neurological_psychiatric":21,"other_disease":3,"other_infection":6,"pregnancy_postpartum":16,"type1_diabetes":3,"ulcerative_colitis":2},"intervention_design":"observational_with_procedure","intervention_detail":"Cohort defined by planned C-section vs vaginal delivery; samples collected at delivery","interventions":[],"n_samples":223,"papers":[{"doi":"10.1128/spectrum.02733-21","pmcid":"PMC9045136","pmid":"35266820","title":"Evaluation of Modulatory Activities of Lactobacillus crispatus Strains in the Context of the Vaginal Microbiota."},{"doi":"10.1186/s12866-023-02764-6","pmcid":"PMC10024458","pmid":"36934229","title":"Is there a placental microbiota? A critical review and re-analysis of published placental microbiota datasets."},{"doi":"10.1038/s41598-026-54100-3","pmcid":"PMC13216312","pmid":"42203854","title":"Shotgun metagenomic mapping of saliva reveals insights into diversity and function of the oral microbiome in pregnancy."}],"sample_intervention_arms":{},"sex":{"female":223},"title":"Placenta biopsies, saliva samples, vaginal and rectal swabs collected at delivery for babies at term","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB38528","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB38528_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB38528.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB38528.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB38528.csv.gz"}},{"accession":"PRJNA1390327","age_categories":{"adult":212},"countries":{"CN":212},"first_public_year":"2025","gbp_per_sample_median":25.21,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":70},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":212,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Gut metagenome","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1390327","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1390327_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1390327.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1390327.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1390327.csv.gz"}},{"accession":"PRJEB48251","age_categories":{"infant":205},"countries":{"IE":205},"first_public_year":"2025","gbp_per_sample_median":2.62,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":205,"papers":[{"doi":"10.1038/s41467-023-38694-0","pmcid":"PMC10213049","pmid":"37230981","title":"Detailed mapping of Bifidobacterium strain transmission from mother to infant via a dual culture-based and metagenomic approach."},{"doi":"10.1128/spectrum.01130-24","pmcid":"PMC11537119","pmid":"39365058","title":"Dietary amino acids, macronutrients, vaginal birth, and breastfeeding are associated with the vaginal microbiome in early pregnancy."},{"doi":"10.1080/19490976.2025.2541033","pmcid":"PMC12323436","pmid":"40755225","title":"Breastfeeding and the milk resistome shape the establishment and transmission of antibiotic resistance genes in the infant gut microbiome."}],"sample_intervention_arms":{},"sex":{},"title":"MicrobeMom","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB48251","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB48251_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB48251.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB48251.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB48251.csv.gz"}},{"accession":"PRJNA994318","age_categories":{"adult":200},"countries":{"CN":200},"first_public_year":"2023","gbp_per_sample_median":5.9,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":100,"pregnancy_postpartum":100},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":200,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"human gut Raw sequence reads","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA994318","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA994318_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA994318.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA994318.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA994318.csv.gz"}},{"accession":"PRJNA1424541","age_categories":{"unknown":199},"countries":{"ES":199},"first_public_year":"2026","gbp_per_sample_median":32.99,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"autoimmune_inflammatory":51,"neurological_psychiatric":39,"other_infection":25,"pregnancy_postpartum":10},"intervention_design":"unknown","intervention_detail":"","interventions":[],"n_samples":199,"papers":[{"doi":"10.3389/fmicb.2026.1786985","pmcid":"PMC13083213","pmid":"42005844","title":"Unveiling pathogens and contaminants: refining metagenomics for clinical diagnostics."}],"sample_intervention_arms":{},"sex":{},"title":"Unveiling pathogens and contaminants: refining metagenomics for clinical diagnostics","trial_population_condition":"other_infection","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1424541","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1424541_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1424541.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1424541.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1424541.csv.gz"}},{"accession":"PRJNA911205","age_categories":{"adult":90,"infant":72,"neonate":17,"unknown":4},"countries":{"US":183},"first_public_year":"2023","gbp_per_sample_median":6.73,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":183,"papers":[{"doi":"10.1038/s41467-023-41421-4","pmcid":"PMC10509221","pmid":"37726348","title":"Social and psychological adversity are associated with distinct mother and infant gut microbiome variations."}],"sample_intervention_arms":{},"sex":{"female":126,"male":53},"title":"Psychosocial adversity experienced in utero and early life is associated with variation in gut microbiota","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA911205","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA911205_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA911205.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA911205.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA911205.csv.gz"}},{"accession":"PRJNA949528","age_categories":{"adult":40,"infant":109,"neonate":34},"countries":{"KZ":183},"first_public_year":"2023","gbp_per_sample_median":6.41,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":40},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":183,"papers":[{"doi":"10.1038/s41598-023-36641-z","pmcid":"PMC10261102","pmid":"37308527","title":"Compositional and functional variability of the gut microbiome in children with infantile colic."},{"doi":"10.3390/biomedicines13040838","pmcid":"PMC12024737","pmid":"40299456","title":"Alterations in Gut Microbiota of Infants Born to Mothers with Obesity."},{"doi":"10.1038/s41598-025-02013-y","pmcid":"PMC12095471","pmid":"40399402","title":"Parity influences postpartum adaptations in the maternal gut microbiota."}],"sample_intervention_arms":{},"sex":{"female":65,"male":72},"title":"Health programming, evolution of the infants microbiome","trial_population_condition":"obesity","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA949528","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA949528_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA949528.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA949528.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA949528.csv.gz"}},{"accession":"PRJEB74322","age_categories":{"adult":27,"infant":122,"neonate":33},"countries":{"ES":182},"first_public_year":"2024","gbp_per_sample_median":3.53,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"unknown","intervention_detail":"","interventions":[],"n_samples":182,"papers":[{"doi":"10.1038/s41467-025-61154-w","pmcid":"PMC12222458","pmid":"40603287","title":"Breastfeeding and early Bifidobacterium-driven microbial colonization shape the infant gut resistome."},{"doi":"10.1016/j.xcrm.2026.103007","pmcid":"PMC13589485","pmid":"42679805","title":"Maternal secretor status and human milk oligosaccharides influence the infant gut resistome."},{"doi":"10.1016/j.chom.2024.05.005","pmcid":"PMC11183301","pmid":"38870906","title":"Birthmode and environment-dependent microbiota transmission dynamics are complemented by breastfeeding during the first year."},{"doi":"10.1038/s41467-025-61154-w","pmcid":"PMC12222458","pmid":"40603287","title":"Breastfeeding and early Bifidobacterium-driven microbial colonization shape the infant gut resistome."},{"doi":"10.1016/j.chom.2024.05.005","pmcid":"PMC11183301","pmid":"38870906","title":"Birthmode and environment-dependent microbiota transmission dynamics are complemented by breastfeeding during the first year."}],"sample_intervention_arms":{},"sex":{"female":88,"male":67},"title":"Spanish mother and infants metagenomes of stool and milk samples","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB74322","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB74322_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB74322.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB74322.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB74322.csv.gz"}},{"accession":"PRJNA1337172","age_categories":{"infant":124,"unknown":44},"countries":{"NO":168},"first_public_year":"2025","gbp_per_sample_median":11.51,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":44},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":168,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Early prenatal antibiotic usage has limited impact on the microbiomes of infants","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1337172","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1337172_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1337172.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1337172.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1337172.csv.gz"}},{"accession":"PRJNA401977","age_categories":{"adult":145},"countries":{"CN":145},"first_public_year":"2017","gbp_per_sample_median":6.9,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":70,"pregnancy_postpartum":75},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":145,"papers":[{"doi":"10.1186/s10020-023-00716-4","pmcid":"PMC10492300","pmid":"37684563","title":"Oral probiotics increased the proportion of Treg, Tfr, and Breg cells to inhibit the inflammatory response and impede gestational diabetes mellitus."},{"doi":"10.1080/19490976.2026.2623353","pmcid":"PMC12867416","pmid":"41620634","title":"Dynamic involvement of the core gut microbiome XNP_Guild1 in the evolution of gestational diabetes mellitus."},{"doi":"10.1016/j.heliyon.2024.e37986","pmcid":"PMC11438002","pmid":"39347390","title":"Clinical significance of the genetically variable landscape of the gut microbiome in patients with gestational diabetes mellitus patients."}],"sample_intervention_arms":{},"sex":{"female":145},"title":"Metagenomic analysis of fecal microbiome from patients with gestational diabetes mellitus","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA401977","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA401977_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA401977.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA401977.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA401977.csv.gz"}},{"accession":"PRJEB123118","age_categories":{"adult":78,"infant":31,"neonate":20,"unknown":8},"countries":{"GB":137},"first_public_year":"2026","gbp_per_sample_median":17.21,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":30},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":137,"papers":[{"doi":"10.21203/rs.3.rs-9843599/v1","pmcid":null,"pmid":null,"title":"Preferential sharing of virus populations between mothers and infants in early life"}],"sample_intervention_arms":{},"sex":{"female":95,"male":42},"title":"Infant and Mother faecal viromes from the PEARL cohort","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB123118","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB123118_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB123118.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB123118.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB123118.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":"PRJNA862188","age_categories":{"adult":105},"countries":{"US":105},"first_public_year":"2022","gbp_per_sample_median":4.55,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":105,"papers":[{"doi":"10.1371/journal.pone.0271261","pmcid":"PMC9803092","pmid":"36584051","title":"Association between microbial composition, diversity, and function of the maternal gastrointestinal microbiome with impaired glucose tolerance on the glucose challenge test."},{"doi":"10.1038/s41390-023-02584-4","pmcid":"PMC12683343","pmid":"37029236","title":"Composition of the maternal gastrointestinal microbiome as a predictor of neonatal birth weight."}],"sample_intervention_arms":{},"sex":{},"title":"Obstetric and Neonatal Outcomes Study (ONOS)","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA862188","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA862188_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA862188.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA862188.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA862188.csv.gz"}},{"accession":"PRJNA945262","age_categories":{"infant":104},"countries":{"IN":104},"first_public_year":"2023","gbp_per_sample_median":0.14,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"unknown","intervention_detail":"","interventions":[],"n_samples":104,"papers":[{"doi":"10.1128/spectrum.04967-22","pmcid":"PMC10269640","pmid":"37067419","title":"Influence of Maternal Breast Milk and Vaginal Microbiome on Neonatal Gut Microbiome: a Longitudinal Study during the First Year."}],"sample_intervention_arms":{},"sex":{"female":41},"title":"Neonatal Gut Microbiome in a mother child paired design","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA945262","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA945262_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA945262.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA945262.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA945262.csv.gz"}},{"accession":"PRJNA1165922","age_categories":{"adult":100},"countries":{},"first_public_year":"2024","gbp_per_sample_median":14.26,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"Xylo-oligosaccharide supplementation in pregnant women at GDM risk","interventions":["prebiotic_or_fibre"],"n_samples":100,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Modulation of xylo-oligosaccharide on gut microbiota in pregnant women with high risk factors for gestational diabetes mellitus","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1165922","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1165922_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1165922.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1165922.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1165922.csv.gz"}},{"accession":"PRJNA1306676","age_categories":{"adult":100},"countries":{"US":100},"first_public_year":"2026","gbp_per_sample_median":3.97,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"autoimmune_inflammatory":2,"cardiometabolic_other":34,"healthy_control":38,"other_infection":11,"type2_diabetes":15},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":100,"papers":[{"doi":"10.1101/2025.08.25.25334409","pmcid":null,"pmid":null,"title":"Preeclampsia-Associated Microbiome Alterations Across Maternal Niches and Infant Gut"}],"sample_intervention_arms":{},"sex":{"female":55,"male":45},"title":"Multiple body sites microbiome in women with Preeclampsia and their infants","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1306676","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1306676_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1306676.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1306676.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1306676.csv.gz"}},{"accession":"PRJNA322188","age_categories":{"adult":2,"infant":38,"neonate":11,"unknown":48},"countries":{"US":99},"first_public_year":"2017","gbp_per_sample_median":2.58,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":54,"pregnancy_postpartum":11},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":99,"papers":[{"doi":"10.1080/19490976.2021.1911571","pmcid":"PMC8115609","pmid":"33960282","title":"Metagenomic analysis of mother-infant gut microbiome reveals global distinct and shared microbial signatures."},{"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":"10.1038/s41467-022-32805-z","pmcid":"PMC9437082","pmid":"36050292","title":"A compendium of 32,277 metagenome-assembled genomes and over 80 million genes from the early-life human gut microbiome."},{"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."}],"sample_intervention_arms":{},"sex":{"female":52,"male":20},"title":"Maturation of the Infant Microbiome Community Structure and Function Across Multiple Body Sites","trial_population_condition":"preterm_nicu","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA322188","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA322188_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA322188.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA322188.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA322188.csv.gz"}},{"accession":"PRJNA384716","age_categories":{"infant":64,"unknown":32},"countries":{"FI":96},"first_public_year":"2018","gbp_per_sample_median":1.7,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":96,"papers":[{"doi":"10.1038/s41467-018-06393-w","pmcid":"PMC6155145","pmid":"30250208","title":"Maternal gut and breast milk microbiota affect infant gut antibiotic resistome and mobile genetic elements."},{"doi":"10.1080/19490976.2021.1911571","pmcid":"PMC8115609","pmid":"33960282","title":"Metagenomic analysis of mother-infant gut microbiome reveals global distinct and shared microbial signatures."},{"doi":"10.1038/s41467-022-32805-z","pmcid":"PMC9437082","pmid":"36050292","title":"A compendium of 32,277 metagenome-assembled genomes and over 80 million genes from the early-life human gut microbiome."},{"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."},{"doi":"10.1038/s41467-024-45793-z","pmcid":"PMC10904392","pmid":"38424077","title":"A metagenomic catalog of the early-life human gut virome."}],"sample_intervention_arms":{},"sex":{"female":32},"title":"human metagenome","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA384716","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA384716_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA384716.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA384716.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA384716.csv.gz"}},{"accession":"PRJNA853814","age_categories":{"adult":84},"countries":{"CN":84},"first_public_year":"2024","gbp_per_sample_median":4.53,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":42,"pregnancy_postpartum":42},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":84,"papers":[{"doi":"10.1080/19490976.2022.2154552","pmcid":"PMC9794004","pmid":"36550785","title":"Integrative metagenomic and metabolomic analyses reveal gut microbiota-derived multiple hits connected to development of gestational diabetes mellitus in humans."}],"sample_intervention_arms":{},"sex":{"female":84},"title":"Integrative Metagenomic and Metabolomic Analyses Reveal Gut Microbiota-Derived Multiple Hits Connected to Development of Gestational Diabetes Mellitus in Humans","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA853814","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA853814_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA853814.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA853814.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA853814.csv.gz"}},{"accession":"PRJNA1172987","age_categories":{"adult":80},"countries":{"CN":80},"first_public_year":"2026","gbp_per_sample_median":5.85,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":80},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":80,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"human gut Raw sequence reads","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1172987","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1172987_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1172987.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1172987.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1172987.csv.gz"}},{"accession":"PRJNA1267192","age_categories":{"unknown":80},"countries":{"US":80},"first_public_year":"2025","gbp_per_sample_median":3.8,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":35,"obesity":45},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":80,"papers":[{"doi":"10.1016/j.bbi.2026.106479","pmcid":null,"pmid":"41651131","title":"The impact of adverse childhood experiences on gut microbiota and markers of inflammation is mediated by obesity and depression."}],"sample_intervention_arms":{},"sex":{},"title":"The impact of Adverse Childhood Experiences on gut microbiota and markers of inflammation is mediated by obesity and depression","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1267192","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1267192_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1267192.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1267192.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1267192.csv.gz"}},{"accession":"PRJNA1247940","age_categories":{"adolescent":1,"adult":68,"neonate":4},"countries":{"US":73},"first_public_year":"2025","gbp_per_sample_median":2.46,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":31,"pregnancy_postpartum":42},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":73,"papers":[{"doi":"10.1128/spectrum.03155-25","pmcid":"PMC13141881","pmid":"41879323","title":"Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease."}],"sample_intervention_arms":{},"sex":{"female":38,"male":35},"title":"Shotgun Metagenomic Sequences of Host-Associated Gut Microbiomes in Gestational Diseases","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1247940","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1247940_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1247940.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1247940.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1247940.csv.gz"}},{"accession":"PRJNA770101","age_categories":{"unknown":71},"countries":{"CN":71},"first_public_year":"2022","gbp_per_sample_median":10.81,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"single_arm_before_after","intervention_detail":"Probio-M9 probiotic given to mothers, transmission to infant studied","interventions":["probiotic"],"n_samples":71,"papers":[],"sample_intervention_arms":{"probiotic":40},"sex":{"male":40},"title":"the transmission of probio-m9 from mother to infant","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA770101","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA770101_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA770101.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA770101.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA770101.csv.gz"}},{"accession":"PRJNA1065277","age_categories":{"unknown":68},"countries":{"CN":68},"first_public_year":"2024","gbp_per_sample_median":22.02,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":68,"papers":[{"doi":"10.3389/fcimb.2024.1397675","pmcid":"PMC11390658","pmid":"39268487","title":"Delivery mode and maternal gestational diabetes are important factors in shaping the neonatal initial gut microbiota."}],"sample_intervention_arms":{},"sex":{},"title":"Delivery mode and maternal gestational diabetes are important factors in shaping the neonatal initial gut microbiota","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1065277","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1065277_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1065277.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1065277.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1065277.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":"PRJNA986854","age_categories":{"unknown":65},"countries":{},"first_public_year":"2025","gbp_per_sample_median":14.14,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":32},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":65,"papers":[{"doi":"10.1038/s41467-025-60508-8","pmcid":"PMC12137722","pmid":"40467587","title":"Prenatal exposure to trace elements impacts mother-infant gut microbiome, metabolome and resistome during the first year of life."}],"sample_intervention_arms":{},"sex":{"female":32},"title":"stool sample of paired mother-infant for 16S rRNA sequencing analysis","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA986854","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA986854_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA986854.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA986854.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA986854.csv.gz"}},{"accession":"PRJNA938144","age_categories":{"infant":63},"countries":{"PR":63},"first_public_year":"2023","gbp_per_sample_median":11.7,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":63,"papers":[{"doi":"10.1128/msphere.00134-23","pmcid":"PMC10597457","pmid":"37754563","title":"Infants exposed in utero to Hurricane Maria have gut microbiomes with reduced diversity and altered metabolic capacity."}],"sample_intervention_arms":{},"sex":{},"title":"HOLA gut microbiome","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA938144","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA938144_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA938144.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA938144.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA938144.csv.gz"}},{"accession":"PRJNA1237910","age_categories":{"unknown":62},"countries":{"CN":62},"first_public_year":"2026","gbp_per_sample_median":7.15,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"cardiometabolic_other":40,"healthy_control":22},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":62,"papers":[],"sample_intervention_arms":{},"sex":{"female":62},"title":"Integrated metagenomic and metabolomic analysis reveals the association between the maternal gut microbiota and macrosomia in gestational diabetes mellitus","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1237910","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1237910_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1237910.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1237910.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1237910.csv.gz"}},{"accession":"PRJNA991649","age_categories":{"adult":61},"countries":{"HK":61},"first_public_year":"2025","gbp_per_sample_median":4.3,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":61},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":61,"papers":[{"doi":"10.1016/j.isci.2025.111933","pmcid":"PMC11872633","pmid":"40034118","title":"Flagellin in blood and <i>Bifidobacterium</i> <i>pseudocatenulatum</i> in gut are associated with live birth upon IVF-frozen embryo transfer."}],"sample_intervention_arms":{},"sex":{"female":61},"title":"Gut microbiome of preconception women","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA991649","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA991649_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA991649.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA991649.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA991649.csv.gz"}},{"accession":"PRJEB18755","age_categories":{"adult":54},"countries":{"CN":54},"first_public_year":"2017","gbp_per_sample_median":6.47,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":54},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":54,"papers":[{"doi":"10.1093/gigascience/gix058","pmcid":"PMC5597849","pmid":"28873967","title":"Connections between the human gut microbiome and gestational diabetes mellitus."},{"doi":"10.1038/s41467-024-47272-x","pmcid":"PMC11009399","pmid":"38605009","title":"Plasmids in the human gut reveal neutral dispersal and recombination that is overpowered by inflammatory diseases."},{"doi":"10.1016/j.heliyon.2024.e37986","pmcid":"PMC11438002","pmid":"39347390","title":"Clinical significance of the genetically variable landscape of the gut microbiome in patients with gestational diabetes mellitus patients."},{"doi":"10.21203/rs.3.rs-3272455/v1","pmcid":null,"pmid":null,"title":"Plasmid dispersal and recombination across human gut microbiomes is neutral, but overpowered by inflammatory diseases"}],"sample_intervention_arms":{},"sex":{"female":54},"title":"Connections between the gut microbiome and gestational diabetes mellitus","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB18755","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB18755_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB18755.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB18755.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB18755.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":"PRJNA1076911","age_categories":{"infant":25,"unknown":25},"countries":{"AU":50},"first_public_year":"2024","gbp_per_sample_median":4.18,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"observational_with_procedure","intervention_detail":"Maternal intrapartum/prophylactic antibiotics and caesarean vs vaginal delivery, cohort comparison","interventions":["antibiotic"],"n_samples":50,"papers":[{"doi":"10.1099/mgen.0.001269","pmcid":"PMC11316550","pmid":"38995243","title":"Delivery mode is a larger determinant of infant gut microbiome composition at 6 weeks than exposure to peripartum antibiotics."}],"sample_intervention_arms":{},"sex":{"female":25},"title":"Infant and maternal gut microbiomes","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1076911","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1076911_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1076911.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1076911.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1076911.csv.gz"}},{"accession":"PRJNA810575","age_categories":{"unknown":44},"countries":{"CN":44},"first_public_year":"2022","gbp_per_sample_median":52.7,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"observational_with_procedure","intervention_detail":"","interventions":[],"n_samples":44,"papers":[{"doi":"10.1186/s40168-022-01398-6","pmcid":"PMC9682673","pmid":"36419187","title":"Bifidobacterium animalis subsp. lactis Probio-M8 undergoes host adaptive evolution by glcU mutation and translocates to the infant's gut via oral-/entero-mammary routes through lactation."}],"sample_intervention_arms":{},"sex":{"female":22},"title":"Metagenomes of maternal and infant faecal samples","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA810575","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA810575_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA810575.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA810575.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA810575.csv.gz"}},{"accession":"PRJNA511899","age_categories":{"adult":40},"countries":{"CN":40},"first_public_year":"2019","gbp_per_sample_median":5.03,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":40},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":40,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Analysis of Intestinal Microbial Diversity and Function Gene Based on Single Cell Amplification Technique","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA511899","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA511899_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA511899.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA511899.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA511899.csv.gz"}},{"accession":"PRJEB79379","age_categories":{"adult":37},"countries":{"SE":37},"first_public_year":"2025","gbp_per_sample_median":1.61,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"pregnancy_postpartum":37},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":37,"papers":[{"doi":"10.1371/journal.pone.0348943","pmcid":"PMC13278574","pmid":"42313858","title":"Comparative analysis of gut microbiome alterations in early- and late-onset preeclampsia: A case control study."}],"sample_intervention_arms":{},"sex":{"female":37},"title":"The Gut Microbiome in Preeclampsia","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB79379","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB79379_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB79379.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB79379.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB79379.csv.gz"}},{"accession":"PRJEB64567","age_categories":{"infant":14,"neonate":14,"unknown":7},"countries":{"FI":35},"first_public_year":"2023","gbp_per_sample_median":3.26,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":true,"health_conditions":{"intervention_cohort":28,"pregnancy_postpartum":7},"intervention_design":"single_arm_before_after","intervention_detail":"Single oral dose maternal fecal microbiota transplant to CS-born infants","interventions":["fmt"],"n_samples":35,"papers":[{"doi":"10.1016/j.cell.2020.08.047","pmcid":null,"pmid":"33007265","title":"Maternal Fecal Microbiota Transplantation in Cesarean-Born Infants Rapidly Restores Normal Gut Microbial Development: A Proof-of-Concept Study."}],"sample_intervention_arms":{"fmt":28,"no_intervention":7},"sex":{},"title":"Maternal FMT in Cesarean-Born Infants - WGS sequencing of infants (1w to 1year) and maternal fecal samples","trial_population_condition":"unknown","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB64567","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB64567_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB64567.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB64567.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB64567.csv.gz"}},{"accession":"PRJNA1472032","age_categories":{"unknown":33},"countries":{"US":33},"first_public_year":"2026","gbp_per_sample_median":0.53,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":33,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Metagenomic profiling of maternal and infant gut microbiome samples","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1472032","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1472032_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1472032.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1472032.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1472032.csv.gz"}},{"accession":"PRJEB52189","age_categories":{"adult":31},"countries":{"CN":31},"first_public_year":"2022","gbp_per_sample_median":9.08,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":25,"other_disease":6},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":31,"papers":[{"doi":"10.1128/msphere.00676-23","pmcid":"PMC11036803","pmid":"38506520","title":"Deep metagenomic characterization of the gut virome in pregnant women with preeclampsia."}],"sample_intervention_arms":{},"sex":{"female":31},"title":"Preeclampsia metagenome dataset","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB52189","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB52189_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB52189.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB52189.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB52189.csv.gz"}},{"accession":"PRJEB36405","age_categories":{"infant":5,"unknown":17},"countries":{"AU":22},"first_public_year":"2020","gbp_per_sample_median":0.7,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":5,"pregnancy_postpartum":17},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":22,"papers":[{"doi":"10.3389/fmicb.2021.596984","pmcid":"PMC8484959","pmid":"34603219","title":"Diverse Bacterial Resistance Genes Detected in Fecal Samples From Clinically Healthy Women and Infants in Australia-A Descriptive Pilot Study."}],"sample_intervention_arms":{},"sex":{"female":17},"title":"Study of the bacterial resistome in people and animals from Australia","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB36405","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB36405_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB36405.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB36405.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB36405.csv.gz"}},{"accession":"PRJNA835321","age_categories":{"unknown":22},"countries":{"IN":22},"first_public_year":"2023","gbp_per_sample_median":7.02,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"observational_with_procedure","intervention_detail":"Maternal postpartum antibiotic prophylaxis","interventions":["antibiotic"],"n_samples":22,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Whole metagenome analysis of Infant gut and breast milk microbiota","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA835321","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA835321_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA835321.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA835321.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA835321.csv.gz"}},{"accession":"PRJNA707065","age_categories":{"infant":10,"unknown":10},"countries":{"GB":8,"NZ":12},"first_public_year":"2022","gbp_per_sample_median":6.02,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"randomized_controlled_trial","intervention_detail":"Nutritional supplement with micronutrients, myo-inositol, and probiotics (L. rhamnosus, B. lactis) pre/during pregnancy","interventions":["synbiotic"],"n_samples":20,"papers":[{"doi":"10.1038/s41598-022-04848-1","pmcid":"PMC8786960","pmid":"35075183","title":"Transcription shifts in gut bacteria shared between mothers and their infants."}],"sample_intervention_arms":{},"sex":{"female":10},"title":"NiPPeR Study - pilot microbiome investigation","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA707065","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA707065_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA707065.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA707065.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA707065.csv.gz"}},{"accession":"PRJNA844516","age_categories":{"unknown":19},"countries":{"JP":19},"first_public_year":"2023","gbp_per_sample_median":15.82,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":19,"papers":[{"doi":"10.1038/s42003-024-05884-5","pmcid":"PMC10904874","pmid":"38424440","title":"Intestinal microbiome and maternal mental health: preventing parental stress and enhancing resilience in mothers."},{"doi":"10.1101/2022.09.07.506896","pmcid":null,"pmid":null,"title":"The Intestinal Microbiome, Dietary Habits, and Physical and Psychological Resilience in Postpartum Women"},{"doi":"10.2139/ssrn.4309086","pmcid":null,"pmid":null,"title":"The Intestinal Microbiome, Dietary Habits, and Physical and Psychological Resilience in Postpartum Women"},{"doi":"10.21203/rs.3.rs-3147300/v1","pmcid":null,"pmid":null,"title":"Intestinal Microbiome and Maternal Mental Health: Preventing Parenting Stress and Enhancing Resilience in Mothers"}],"sample_intervention_arms":{},"sex":{},"title":"Investigation of the Interrelationship among Mental, Physical and Intestinal Microbiota in Postpartum Mothers and Their Infants.","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA844516","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA844516_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA844516.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA844516.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA844516.csv.gz"}},{"accession":"PRJNA687137","age_categories":{"unknown":15},"countries":{"CN":15},"first_public_year":"2022","gbp_per_sample_median":0.02,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":15},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":15,"papers":[{"doi":"10.3390/ijms23179873","pmcid":"PMC9456154","pmid":"36077271","title":"Shared and Non-Shared sIgA-Coated and -Uncoated Bacteria in Intestine of Mother-Infant Pairs."}],"sample_intervention_arms":{},"sex":{},"title":"SIgA binding bacteria in paired samples of maternal feces, breast milk, and infant feces","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA687137","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA687137_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA687137.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA687137.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA687137.csv.gz"}},{"accession":"PRJNA1070670","age_categories":{"adult":14},"countries":{"US":14},"first_public_year":"2024","gbp_per_sample_median":4.2,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":7,"pregnancy_postpartum":7},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":14,"papers":[{"doi":"10.1016/j.cell.2024.05.005","pmcid":"PMC11179439","pmid":"38795705","title":"Gut bacteria convert glucocorticoids into progestins in the presence of hydrogen gas."}],"sample_intervention_arms":{},"sex":{"female":14},"title":"Pregnant vs non-pregnant gut microbiome metagenomic sequencing","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1070670","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1070670_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1070670.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1070670.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1070670.csv.gz"}},{"accession":"PRJNA1043851","age_categories":{"adult":12},"countries":{"CN":12},"first_public_year":"2023","gbp_per_sample_median":6.1,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":6,"other_disease":6},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":12,"papers":[{"doi":"10.3389/fcimb.2024.1369192","pmcid":"PMC11341541","pmid":"39185088","title":"Gut microbiome characteristics of women with hypothyroidism during early pregnancy detected by 16S rRNA amplicon sequencing and shotgun metagenomic."}],"sample_intervention_arms":{},"sex":{"female":12},"title":"Gut Microbiome Characteristics of Hypothyroidism in Early Pregnancy Detected by 16S rRNA Amplicon Sequencing and Shotgun Metagenomics","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1043851","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1043851_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1043851.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1043851.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1043851.csv.gz"}},{"accession":"PRJEB102113","age_categories":{"adult":10},"countries":{"IN":10},"first_public_year":"2026","gbp_per_sample_median":5.11,"has_cases_and_healthy_controls":true,"has_treated_and_control_arms":false,"health_conditions":{"healthy_control":4,"other_cancer":2,"other_disease":2,"pregnancy_postpartum":2},"intervention_design":"single_arm_before_after","intervention_detail":"Panchakarma Ayurvedic detoxification/rejuvenation therapy","interventions":["other_intervention"],"n_samples":10,"papers":[],"sample_intervention_arms":{},"sex":{},"title":"Mapping of the Gut Metagenome","trial_population_condition":"healthy_control","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJEB102113","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB102113_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJEB102113.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJEB102113.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJEB102113.csv.gz"}},{"accession":"PRJNA1198101","age_categories":{"unknown":10},"countries":{"US":10},"first_public_year":"2024","gbp_per_sample_median":0.05,"has_cases_and_healthy_controls":false,"has_treated_and_control_arms":false,"health_conditions":{},"intervention_design":"none","intervention_detail":"","interventions":[],"n_samples":10,"papers":[{"doi":"10.1038/s41467-025-66497-y","pmcid":"PMC12749357","pmid":"41274878","title":"Assembly of the infant gut microbiome and resistome are linked to bacterial strains in mother's milk."}],"sample_intervention_arms":{},"sex":{"female":10},"title":"MILK study metagenomic re-sequencing of human milk","trial_population_condition":"pregnancy_postpartum","urls":{"ena":"https://www.ebi.ac.uk/ena/browser/view/PRJNA1198101","evidence_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1198101_determinations.csv.gz","page":"https://olmlab.github.io/microbiome_repo/studies/PRJNA1198101.html","samples_csv":"https://olmlab.github.io/microbiome_repo/api/samples/PRJNA1198101.csv","samples_full_csv_gz":"https://olmlab.github.io/microbiome_repo/data/studies/PRJNA1198101.csv.gz"}}],"release":"R2026.25"}