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PRJNA385949 SRP108708

Longitudinal Stool Microbiome in IBD and Controls, USA

Longitudinal Stool Study of patients with IBD and controls

262 stool samples from patients with IBD (unspecified type) and healthy controls in Boston and Atlanta, USA, collected as part of a longitudinal study combining the PRISM and STINKI cohorts. machine-written summary

262 samples · 262 runs · US · Age unknown · 2017 · 2.97 Gbp / sample

Sources
✓Sequence archive 2,619○Abstract / description○Full text○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive2,619 sample values (collection date, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10191612, PMC10439275, PMC12210856, PMC12520552, PMC5704459
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
2 sampling locations · 1 country
Age
unknown262
Condition
ibd_unspecified187
healthy_control74
Country
US262
Body site
primary262
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 6 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 1 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 5 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 23 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 99 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 110 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 18 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 2.97 Gbp per sample0130Gbp
! Self-contradictory metadata

health condition: sequence archive and curatedMetagenomicData disagree for 1 sample (e.g. ibd_unspecified vs healthy_control) — withheld.

The sources disagree on 1 sample. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).

Contradicted values (1)
samplefieldvalueother valuehandling
SAMN07200322health conditionibd_unspecified (sequence archive)healthy_control (curatedMetagenomicData)withheld: neither value published
Sampling design and relatedness

longitudinal

32 of 32 people sampled more than once (262 samples; median 8, up to 12 per person) · follow-up median 7 mo (max 11 mo) · median interval between samples 30 d (time from timepoint labels).

SKST006SKST006: day 0SKST006: day 30SKST006: day 61SKST006: day 91SKST006: day 122SKST006: day 152SKST006: day 183SKST006: day 213SKST006: day 244SKST006: day 274SKST007SKST007: day 0SKST007: day 30SKST007: day 61SKST007: day 91SKST007: day 152SKST007: day 183SKST007: day 213SKST010SKST010: day 0SKST010: day 30SKST010: day 61SKST010: day 91SKST010: day 122SKST010: day 152SKST010: day 183SKST010: day 213SKST011SKST011: day 0SKST011: day 30SKST011: day 61SKST011: day 91SKST011: day 122SKST011: day 152SKST011: day 183SKST011: day 213SKST012SKST012: day 0SKST012: day 30SKST012: day 61SKST012: day 91SKST012: day 122SKST012: day 152SKST014SKST014: day 0SKST014: day 30SKST014: day 61SKST014: day 91SKST014: day 122SKST014: day 152SKST014: day 183SKST023SKST023: day 0SKST023: day 30SKST023: day 61SKST023: day 91SKST023: day 122SKST023: day 152SKST023: day 183SKST024SKST024: day 0SKST024: day 30SKST024: day 61SKST024: day 91SKST024: day 122SKST024: day 152SKST024: day 183SKST024: day 213SKST025SKST025: day 0SKST025: day 30SKST025: day 61SKST025: day 91SKST025: day 122SKST025: day 152SKST025: day 244SKST025: day 274SKST027SKST027: day 0SKST027: day 30SKST027: day 61SKST027: day 91SKST027: day 152SKST027: day 244SKST027: day 274SKST027: day 304SKST027: day 335SKST032SKST032: day 0SKST032: day 30SKST032: day 61SKST032: day 91SKST032: day 122SKST036SKST036: day 0SKST036: day 30SKST036: day 61SKST037SKST037: day 0SKST037: day 30SKST037: day 61SKST041SKST041: day 0SKST041: day 30SKST041: day 61p8582p8582: day 0p8582: day 30p8582: day 61p8582: day 91p8582: day 122p8582: day 152p8582: day 183p8582: day 213p8582: day 244p8582: day 274p8582: day 304p8582: day 335p8585p8585: day 0p8585: day 30p8585: day 61p8585: day 91p8585: day 152p8585: day 183p8585: day 213p8585: day 244p8600p8600: day 0p8600: day 30p8600: day 61p8600: day 91p8600: day 122p8600: day 152p8600: day 183p8600: day 213p8600: day 244p8600: day 274p8600: day 304p8600: day 335p8646p8646: day 0p8646: day 30p8646: day 61p8646: day 91p8646: day 122p8646: day 152p8646: day 183p8646: day 213p8646: day 244p8646: day 274p8646: day 304p8646: day 335p8649p8649: day 0p8649: day 30p8649: day 61p8649: day 91p8649: day 122p8649: day 152p8649: day 183p8649: day 213p8649: day 244p8649: day 274p8649: day 304p8649: day 335p8712p8712: day 0p8712: day 30p8712: day 61p8712: day 91p8712: day 122p8712: day 152p8712: day 183p8712: day 213p8712: day 244p8712: day 274p8712: day 304p8712: day 335p8748p8748: day 0p8748: day 30p8748: day 61p8748: day 91p8748: day 122p8748: day 152p8748: day 183p8748: day 213p8748: day 244p8775p8775: day 0p8775: day 30p8775: day 61p8775: day 91p8775: day 122p8775: day 152p8775: day 183p8775: day 213p8775: day 244p8775: day 274p8775: day 304p8775: day 335p8808p8808: day 0p8808: day 30p8808: day 61p8808: day 91p8808: day 122p8808: day 152p8808: day 183p8808: day 213p8808: day 244p8816p8816: day 0p8816: day 30p8816: day 61p8816: day 91p8816: day 122p8816: day 152p8816: day 183p8816: day 213p8816: day 244p8816: day 274p8816: day 304p8816: day 335p8855p8855: day 0p8855: day 30p8855: day 152p8855: day 183p8855: day 213p8855: day 244p8855: day 274p8883p8883: day 0p8883: day 30p8883: day 61p8883: day 122p8883: day 152p8883: day 183p8883: day 213p8883: day 244p8883: day 274p8883: day 304p9061p9061: day 0p9061: day 30p9061: day 61p9061: day 91p9061: day 122p9061: day 152p9061: day 183p9061: day 213p9193p9193: day 0p9193: day 30p9193: day 91p9193: day 122p9193: day 152p9193: day 183p9216p9216: day 0p9216: day 30p9216: day 61p9216: day 91p9216: day 122p9216: day 152p9216: day 183p9216: day 213p9220p9220: day 0p9220: day 30p9220: day 61p9220: day 91p9220: day 122p9220: day 152p9220: day 183p9223p9223: day 0p9223: day 30p9223: day 61p9223: day 91p9223: day 122p9223: day 152p9223: day 183p9223: day 213p9281p9281: day 0p9281: day 30p9281: day 61p9281: day 91p9281: day 122p9281: day 1520 d3 mo5 mo8 mo11 mo

Each row is one person (32 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 12.2%Phocaeicola 7.7%Faecalibacterium 7.3%Roseburia 6.5%Blautia_A 4.5%Prevotella 4.1%Alistipes 3.5%Bifidobacterium 2.5%Lachnospira 1.9%Mediterraneibacter 1.6%Parabacteroides 1.6%Gemmiger 1.4%not assigned to a genus 9.6%other genera 35.6%

Genera, mean relative abundance over 232 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country262 100%262
health_condition261 100%261
subject_id262 100%262
collection_date262 100%262
detailed_location262 100%
health_condition_detail262 100%262
latitude262 100%262
location_locality262 100%262
location_region262 100%262
longitude262 100%262
timepoint_label262 100%262
Papers (23)
  • A novel Ruminococcus gnavus clade enriched in inflammatory bowel disease patients. 2017 PMID 29183332 PMC5704459 own_data
  • Deciphering associations between gut microbiota and clinical factors using microbial modules. 2023 PMID 37084255 PMC10191612 own_data
  • Commensal bacteria promote azathioprine therapy failure in inflammatory bowel disease via decreasing 6-mercaptopurine bioavailability. 2023 PMID 37586320 PMC10439275 own_data
  • Synergistic gut microbiome-mediated degradation of <i>Astragalus membranaceus</i> polysaccharides and <i>Codonopsis pilosula</i> polysaccharides into butyric acid: a metatranscriptomic analysis. 2025 PMID 40422281 PMC12210856 own_data
  • Akkermansia muciniphila-Derived N-Acetylspermidine Modulates the Localization of Intestinal α1,2-Fucosylated Proteins to Maintain Gut Homeostasis. 2025 PMID 40776401 PMC12520552 own_data
18 more
  • Microbial genes and pathways in inflammatory bowel disease. 2019 PMID 31249397 PMC6759048
  • Clustering co-abundant genes identifies components of the gut microbiome that are reproducibly associated with colorectal cancer and inflammatory bowel disease. 2019 PMID 31370880 PMC6670193
  • Gut Microbiota and Metabolic Specificity in Ulcerative Colitis and Crohn's Disease. 2020 PMID 33330572 PMC7729129
  • The taxonomic distribution of histamine-secreting bacteria in the human gut microbiome. 2021 PMID 34563136 PMC8465708
  • Microbial genes outperform species and SNVs as diagnostic markers for Crohn's disease on multicohort fecal metagenomes empowered by artificial intelligence. 2023 PMID 37278203 PMC10246480
  • Bacterial indole-3-lactic acid affects epithelium-macrophage crosstalk to regulate intestinal homeostasis. 2023 PMID 37903267 PMC10636326
  • Microbiome and metabolome features in inflammatory bowel disease via multi-omics integration analyses across cohorts. 2023 PMID 37932270 PMC10628233
  • Enhancing insights into diseases through horizontal gene transfer event detection from gut microbiome. 2024 PMID 38884260 PMC11317153
  • Enhanced microbiota profiling in patients with quiescent Crohn's disease through comparison with paired healthy first-degree relatives. 2024 PMID 38942021 PMC11293350
  • Noninvasive, microbiome-based diagnosis of inflammatory bowel disease. 2024 PMID 39367251 PMC11645270
  • A meta-analysis of the gut microbiome in inflammatory bowel disease patients identifies disease-associated small molecules. 2025 PMID 39947133 PMC12268991
  • Megasphaera Elesdenii Dysregulates Colon Epithelial Homeostasis, Aggravates Colitis-Associated Tumorigenesis. 2025 PMID 40801433 PMC12591162
  • Gut Microbes Secretions May Trigger Mononuclear Cell Migration and Offer Comorbidity Mechanism Between Inflammatory Bowel Disease and Diabetic Retinopathy. 2025 PMID 41333916 PMC12668851
  • Deciphering the personalized functional redundancy hierarchy in the gut microbiome. 2025 PMID 41345980 PMC12781464
  • <i>Parasutterella excrementihominis</i> exacerbates experimental colitis and colitis-associated colorectal cancer via pathogenic NETosis activation. 2026 PMID 41448880 PMC13151518
  • A microbiota-IPA axis facilitates intestinal stem cell-mediated regeneration in colitis through a Hopx-associated program. 2026 PMID 41741429 PMC13057028
  • Strain transmission links human microbiomes along the oral-gut axis and across cohabiting individuals. 2026 PMID 42312244 PMC13269251
  • Global gut microbiome atlas identifies epidemiologic-stage-specific signatures in inflammatory bowel disease. 2026 PMID 42575094 PMC13589510
Details
Archive description

Longitudinal Stool Study of patients with IBD and controls. This project combines data from PRISM and STINKI cohorts to characterize the gut microbiome of individuals with IBD and controls over time.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.72. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.title · “Longitudinal Stool Study”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN07199828collection_date2013R10.90biosample.attribute:collection_date2013
SAMN07199828countryUSR10.90sample.attr.geo_loc_nameUSA:Boston
SAMN07199828health_conditionibd_unspecifiedR10.85biosample.attribute:DESCRIPTIONIBD
SAMN07199828health_condition_detailIBDR10.85biosample.attribute:DESCRIPTIONIBD
SAMN07199828latitude42.3632R10.90biosample.attribute:lat_lon42.3632 N 71.0688 W
SAMN07199828location_localityBostonR10.85biosample.attribute:geo_loc_nameUSA:Boston
SAMN07199828location_regionMassachusettsR10.60biosample.attribute:lat_lon42.3632 N 71.0688 W
SAMN07199828longitude-71.0688R10.90biosample.attribute:lat_lon42.3632 N 71.0688 W
SAMN07199828subject_idp8582R10.85sample.attr.subjectp8582
SAMN07199828timepoint_labelmonth 1R10.85biosample.attribute:month1
Sequencing

262 runs over 262 samples · mean 3.38 Gbp per run (median 2.97 Gbp, total 886.38 Gbp; 262 runs with a base count) · layout PAIRED 262 · platform ILLUMINA 262 · models Illumina HiSeq 2000 (262) · 90% of runs with a Sandpiper profile · first public 2017-12-14

Authors (42)

Rong X first · Zhu L · Shu Q last · Yao Y first · Pei Z · Dai Y · Chen Y · Chang Z · Wang H · Zhao J · Zhang H · Zhai Q · Lu W · Chen W last · Xu B first · Wu S · Huang J · Lin M · Liu Q · Li X · Fu M · Xia Z · Yi G last · Tan H first · Huang L · Wang J · Huang H · Lin Z · Yang S · Shi Y · Li J · Zhou Y · Huang C last · Zhai J first · Li Y · Liu J · Su X · Cui R · Zheng D · Sun Y · Yu J · Dai C last

Downloads

PRJNA385949.csv.gz (7.8 KB) · parquet (79.4 KB) — all 262 samples, every field with route and confidence · PRJNA385949_determinations.csv.gz (16.4 KB) — 2,619 evidence rows

Samples (262 · every field this project has values for · hover a cell for its source)
Loading the sample table…