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PRJNA1045596 SRP600876

Pediatric IBD and VEO-IBD Gut Microbiome, USA, Longitudinal

The Intestinal Microbiome of Inflammatory Bowel Disease Across the Pediatric Age Range Raw sequence reads

436 stool samples from US children and adolescents (plus some adults) with IBD, very early onset IBD, or healthy controls, studied longitudinally over 8 weeks via shotgun metagenomic sequencing. machine-written summary

436 samples · 436 runs · US · Infant / toddler · 2025 · 1.84 Gbp / sample

Sources
✓Sequence archive 3,898○Abstract / description✓Full text 872○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 archive3,898 sample values (age, antibiotic exposure, collection date, country, health condition, health condition detail, sex, subject id)
○ Abstract / descriptionread; no usable statement
✓ Full text872 sample values (location locality, location site) · PMC10900269
○ 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
1 country
Age
child236
infant110
adolescent81
adult9
Condition
ibd_or_gi_disease236
healthy_control200
Sex
male268
female168
Country
US436
Body site
primary436
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 2 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 3 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 12 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 44 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 351 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 23 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 1 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 1.84 Gbp per sample0130Gbp
! Self-contradictory metadata

age: run.library_name and sequence archive disagree for 12 samples (e.g. 28 vs 1437.9) — withheld; antibiotic exposure: two sequence archives disagree for 14 samples (e.g. no vs yes) — withheld.

The sources disagree on 26 samples. 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 (26)
samplefieldvalueother valuehandling
SAMN49971748age28 (run.library_name)1437.9 (sequence archive)withheld: neither value published
SAMN49971749age56 (run.library_name)1479.9 (sequence archive)withheld: neither value published
SAMN49971790age28 (run.library_name)1367.9 (sequence archive)withheld: neither value published
SAMN49971791age56 (run.library_name)1398.0 (sequence archive)withheld: neither value published
SAMN49971808age28 (run.library_name)1461.0 (sequence archive)withheld: neither value published
SAMN49971809age56 (run.library_name)1489.9 (sequence archive)withheld: neither value published
SAMN49971814age28 (run.library_name)4302.0 (sequence archive)withheld: neither value published
SAMN49971815age56 (run.library_name)4338.0 (sequence archive)withheld: neither value published
SAMN49971832age28 (run.library_name)5516.8 (sequence archive)withheld: neither value published
SAMN49971833age56 (run.library_name)5551.8 (sequence archive)withheld: neither value published
SAMN49971929age28 (run.library_name)2458.7 (sequence archive)withheld: neither value published
SAMN49971930age56 (run.library_name)2491.6 (sequence archive)withheld: neither value published
SAMN49971774antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49971825antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49971826antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49971860antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49971907antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49971965antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49971988antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49971989antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49971997antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49972004antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49972028antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49972029antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49972071antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
SAMN49972073antibiotic exposureno (sequence archive)yes (sequence archive)withheld: neither value published
Sampling design and relatedness

longitudinal

148 of 149 people sampled more than once (435 samples; median 3, up to 3 per person) · follow-up median 56 d (max 3 mo) · median interval between samples 28 d (time from age at collection). Schedule stated by the source: “stool at baseline, week 4, and week 8” (time origin: enrolment); stated follow-up 56 d.

Subj 10Subj 10: day 0Subj 10: day 27Subj 10: day 57Subj 101Subj 101: day 0Subj 101: day 36Subj 101: day 78Subj 106Subj 106: day 0Subj 106: day 27Subj 106: day 61Subj 11Subj 11: day 0Subj 11: day 27Subj 11: day 56Subj 112Subj 112: day 0Subj 112: day 23Subj 112: day 52Subj 113Subj 113: day 0Subj 113: day 23Subj 113: day 51Subj 114Subj 114: day 0Subj 114: day 30Subj 114: day 70Subj 118Subj 118: day 0Subj 118: day 31Subj 118: day 52Subj 12Subj 12: day 0Subj 12: day 25Subj 12: day 54Subj 122Subj 122: day 0Subj 122: day 34Subj 122: day 55Subj 123Subj 123: day 0Subj 123: day 28Subj 123: day 62Subj 124Subj 124: day 0Subj 124: day 37Subj 124: day 59Subj 125Subj 125: day 0Subj 125: day 33Subj 125: day 57Subj 128Subj 128: day 0Subj 128: day 27Subj 128: day 56Subj 129Subj 129: day 0Subj 129: day 29Subj 129: day 49Subj 130Subj 130: day 0Subj 130: day 29Subj 130: day 52Subj 133Subj 133: day 0Subj 133: day 25Subj 133: day 53Subj 134Subj 134: day 0Subj 134: day 28Subj 134: day 54Subj 138Subj 138: day 0Subj 138: day 35Subj 138: day 58Subj 143Subj 143: day 0Subj 143: day 27Subj 143: day 61Subj 144Subj 144: day 0Subj 144: day 27Subj 144: day 56Subj 146Subj 146: day 0Subj 146: day 29Subj 146: day 56Subj 148Subj 148: day 0Subj 148: day 34Subj 148: day 60Subj 149Subj 149: day 0Subj 149: day 28Subj 149: day 62Subj 153Subj 153: day 0Subj 153: day 37Subj 153: day 59Subj 154Subj 154: day 0Subj 154: day 29Subj 154: day 68Subj 158Subj 158: day 0Subj 158: day 29Subj 158: day 66Subj 17Subj 17: day 0Subj 17: day 27Subj 17: day 62Subj 173Subj 173: day 0Subj 173: day 24Subj 173: day 56Subj 174Subj 174: day 0Subj 174: day 28Subj 174: day 55Subj 176Subj 176: day 0Subj 176: day 21Subj 176: day 56Subj 177Subj 177: day 0Subj 177: day 29Subj 177: day 55Subj 18Subj 18: day 0Subj 18: day 28Subj 18: day 57Subj 182Subj 182: day 0Subj 182: day 28Subj 182: day 55Subj 19Subj 19: day 0Subj 19: day 24Subj 19: day 51Subj 194Subj 194: day 0Subj 194: day 28Subj 194: day 560 d19 d39 d58 d3 mo

Each row is one person (36 shown of 148); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 19.2%Phocaeicola 13.1%Prevotella 5.0%Faecalibacterium 4.2%Alistipes 3.9%Roseburia 3.6%Parabacteroides 2.8%Escherichia 2.5%Bifidobacterium 2.2%Blautia_A 2.1%Veillonella 1.8%Mediterraneibacter 1.5%not assigned to a genus 7.7%other genera 30.3%

Genera, mean relative abundance over 429 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category436 100%
country436 100%436
health_condition436 100%436
subject_id436 100%436
collection_date436 100%436
detailed_location436 100%
health_condition_detail436 100%436
location_locality436 100%436
location_site436 100%436
sex436 100%436
timepoint_label436 100%436
age_at_collection_days424 97%424
antibiotic_exposure422 97%422
Papers (1)
  • The intestinal microbiome of inflammatory bowel disease across the pediatric age range. 2024 PMID 38404111 PMC10900269 own_data
Details
Archive description

Dysbiosis is associated with pediatric and adult-onset inflammatory bowel disease (IBD), but the role of dysbiosis and the microbiome in very early onset IBD (VEO-IBD) has not yet been described. Here, we aimed to demonstrate the impact of age and inflammation on microbial community structure using shotgun metagenomic sequencing in children with VEO-IBD, pediatric-onset IBD, and age-matched pediatric healthy controls (HC) observed longitudinally over the course of 8 weeks. We found disease-related differences in alpha and beta diversity between HC and children with IBD or VEO-IBD. Using a healthy microbial maturity index modeled from HC across the age range to characterize their gut microbiota, we found that children with pediatric-onset IBD and VEO-IBD had lower maturity than their age-matched HC groups, suggesting a disease effect on the microbial community. In addition, patients with pediatric IBD had significantly lower maturity than those with VEO-IBD, who had more heterogeneity at the youngest ages, highlighting differences in these two cohorts that were not captured in standard comparisons of alpha and beta diversity. These results demonstrate that young age and inflammation independently impact microbial community structure. However, the effect is not additive in the youngest patients, likely because of the heterogeneous and dynamic stool microbiome in this population. The samples are split between this project and PRJNA562600. The full list of samples and their accession numbers can be found here: https://github.com/ctanes/dynamic_veo_sra

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of child and infant / toddler and adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site study.title · “The Intestinal Microbiome of Inflammatory”
  • body site study.description · “to characterize their gut microbiota, we found”
  • life stage study.title · “Disease Across the Pediatric Age Range Raw”
  • life stage study.description · “is associated with pediatric and adult-onset inflammatory”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
  • life stage study.description · “with pediatric and adult -onset inflammatory bowel”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN49971678age_at_collection_days4995.4R10.90biosample.attribute:age_monthage_month: 164.12
SAMN49971690age_at_collection_days784R10.85biosample_attr2.14520547945206
SAMN49971678antibiotic_exposurenoR10.85biosample_attrNo
SAMN49971678collection_date2016R10.85biosample.attribute:collection_datecollection_date: 2016
SAMN49971678countryUSR10.90biosample_attrUSA
SAMN49971678health_conditionibd_or_gi_diseaseR10.90sample.attr.ibd_diagnosisibd_diagnosis=Crohn's Disease
SAMN49971678health_condition_detailCrohn's DiseaseR10.90biosample.attribute:ibd_diagnosisibd_diagnosis: Crohn's Disease
SAMN49971678location_localityPhiladelphiaR30.70paper.body.methodsThis prospective observational study was performed at the Children's Hospital of Philadelphia (CHOP).
SAMN49971678location_siteChildren's Hospital of PhiladelphiaR30.70paper.body.methodsThis prospective observational study was performed at the Children's Hospital of Philadelphia (CHOP).
SAMN49971678sexmaleR10.90biosample_attrmale
SAMN49971678subject_idSubj 122R10.85biosample_attrSubj 122
SAMN49971678timepoint_labelBaselineR10.80biosample_attrBaseline
Sequencing

436 runs over 436 samples · mean 1.81 Gbp per run (median 1.84 Gbp, total 791.14 Gbp; 436 runs with a base count) · layout PAIRED 436 · platform ILLUMINA 436 · models Illumina HiSeq 2500 (436) · 98% of runs with a Sandpiper profile · first public 2025-07-16

Authors (0)

No author record.

Downloads

PRJNA1045596.csv.gz (16.9 KB) · parquet (93.1 KB) — all 436 samples, every field with route and confidence · PRJNA1045596_determinations.csv.gz (33.4 KB) — 4,770 evidence rows

Samples (436 · every field this project has values for · hover a cell for its source)
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