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PRJEB18780 ERP020739

Gut microbiota in Crohn's relatives vs healthy controls, children

Exploring associations between the gut microbiota and colonic inflammation and assessing sequential changes during exclusive enteral nutrition (EEN) for children with Crohn's disease and comparing them to healthy cohorts as well as their relatives

96 faecal samples from adult relatives of children with Crohn's disease, unrelated healthy adults, and children with Crohn's disease, comparing microbiota composition during exclusive enteral nutrition in a case-control design. machine-written summary

96 samples · 96 runs · GB · Child · 2017 · 1.10 Gbp / sample

Sources
○Sequence archive○Abstract / description✓Full text 2✓Supplementary tables 312✓External resources 368–User contribution–Human verified

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

what each source gave
○ Sequence archiverecords read; no usable sample values
○ Abstract / descriptionread; no usable statement
✓ Full text2 sample values (country) · PMC11645270, PMC11650326, PMC12781464, PMC13589510, PMC5319678
✓ Supplementary tables312 sample values (age, antibiotic exposure, health condition, health condition detail, subject id, timepoint)
✓ External resources368 sample values (age, antibiotic exposure, country, health condition, health condition detail, sex) · from curatedMetagenomicData 3 (cMD 3)
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

Controlled / prescribed diet or feeding regimen design single_arm_before_after · population crohns_disease · Exclusive enteral nutrition (EEN) in paediatric Crohn's disease

“sequential changes during exclusive enteral nutrition” — study.title (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
adolescent41
child28
adult27
Condition
crohns_disease56
healthy_control40
Sex
female6
male5
Country
GB96
Body site
primary96
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: 2 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 2 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 36 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 54 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)all 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 1.10 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinalparent–child — not resolved

12 of 52 people sampled more than once (56 samples; median 5, up to 5 per person) · follow-up median 12 mo (max 12 mo) · median interval between samples 12 mo (time from age at collection). Schedule stated by the source: “CD children sampled at start of EEN, 15 days on EEN, 30 days on EEN, end of EEN, and after end of EEN on free diet; relatives/healthy controls sampled once.”.

1111: day 011: day 011: day 36511: day 36511: day 3652121: day 021: day 021: day 36533: day 03: day 03: day 03: day 03: day 3650 d3 mo6 mo9 mo12 mo

Each row is one person (3 shown of 12); dots are samples at days since that person's first sample.

Adult relatives (mothers/fathers) of CD children sampled alongside their affected children; 16/19 CD children blood-related to relative cohort; unrelated healthy adults/children as controls..

How longitudinal and relatedness information is derived

Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category96 100%
country96 100%942
health_condition96 100%96
subject_id96 100%96
antibiotic_exposure96 100%96
health_condition_detail96 100%96
timepoint_label96 100%96
age_at_collection_days95 99%95
sex11 11%11
Papers (5)
  • The distinct features of microbial 'dysbiosis' of Crohn's disease do not occur to the same extent in their unaffected, genetically-linked kindred. 2017 PMID 28222161 PMC5319678 own_data
  • Noninvasive, microbiome-based diagnosis of inflammatory bowel disease. 2024 PMID 39367251 PMC11645270 unsure
  • Gut-microbiota-based ensemble model predicts prognosis of pediatric inflammatory bowel disease. 2024 PMID 39691780 PMC11650326 unsure
  • Deciphering the personalized functional redundancy hierarchy in the gut microbiome. 2025 PMID 41345980 PMC12781464 unsure
  • Global gut microbiome atlas identifies epidemiologic-stage-specific signatures in inflammatory bowel disease. 2026 PMID 42575094 PMC13589510 unsure
Details
Archive description

The study is concerned with 16SrRNA and whole genome shotgun sequencing analysis of gut microbiome.

How this project entered the registry

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

  • host external_curation.infant_catalog · “infant triage reason_code age_child_over_36m”
  • body site study.title · “associations between the gut microbiota and colonic”
  • body site study.description · “sequencing analysis of gut microbiome.”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_child_over_36m”
  • life stage study.title · “nutrition (EEN) for children with Crohn's disease”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA39879418age_at_collection_days2922.0R20.75external.cmd sourceage: 8; age_unit: Year; age_group: Child
SAMEA40012918age_at_collection_days16801.5R20.80paper.supp.pone.0172605.s005.csv[Age]46
SAMEA39879418antibiotic_exposurenoR20.75external.cmd sourceantibiotics_current_use: No
SAMEA40012918antibiotic_exposurenoR20.80paper.supp.pone.0172605.s005.csv[Antibiotics]No
SAMEA39879418countryGBR20.75external.cmd sourcecountry: United Kingdom
SAMEA40012918countryGBR30.50paper.fulltext.methodsYorkhill Hospital Research Ethics Committee
SAMEA39879418health_conditioncrohns_diseaseR20.80paper.supp.pone.0172605.s005.csv[Type]CD
SAMEA39892168health_conditionhealthy_controlR20.75external.cmd sourcedisease: Healthy
SAMEA39879418health_condition_detailCDR20.80paper.supp.pone.0172605.s005.csv[Type]CD
SAMEA39892168health_condition_detailHealthyR20.75external.cmd sourcedisease: Healthy
SAMEA39892168sexfemaleR20.75external.cmd sourcesex: Female
SAMEA39879418subject_id1R20.80paper.supp.pone.0172605.s005.csv[New participant code]1
SAMEA39879418timepoint_labelCrohn's at start of EENR20.80paper.supp.pone.0172605.s005.csv[Sample type explained]Crohn's at start of EEN
Sequencing

96 runs over 96 samples · mean 1.18 Gbp per run (median 1.10 Gbp, total 112.87 Gbp; 96 runs with a base count) · layout SINGLE 96 · platform ILLUMINA 96 · models Illumina MiSeq (96) · 49% of runs with a Sandpiper profile · first public 2017-01-07

Authors (52)

Ijaz UZ first · Quince C · Hanske L · Loman N · Calus ST · Bertz M · Edwards CA · Gaya DR · Hansen R · McGrogan P · Russell RK · Gerasimidis K last · Zheng J first · Sun Q · Zhang M · Liu C · Su Q · Zhang L · Xu Z · Lu W · Ching J · Tang W · Cheung CP · Hamilton AL · Wilson O'Brien AL · Wei SC · Bernstein CN · Rubin DT · Chang EB · Morrison M · Kamm MA · Chan FKL · Zhang J · Ng SC last · Ha SM first · Lee K · Kim GH · Hurych J · Cinek O · Shim JO last · Jiang Y first · Che L · Li SC last · Zhai J first · Li Y · Liu J · Su X · Cui R · Zheng D · Sun Y · Yu J · Dai C last

Downloads

PRJEB18780.csv.gz (3.8 KB) · parquet (74.6 KB) — all 96 samples, every field with route and confidence · PRJEB18780_determinations.csv.gz (8.0 KB) — 682 evidence rows

Samples (96 · every field this project has values for · hover a cell for its source)
Loading the sample table…