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PRJEB76677 ERP161183

Pediatric IBD vs healthy siblings gut metagenomes, Germany

Gut microbiota differs between children with Inflammatory Bowel Disease and healthy siblings in taxonomic and functional composition: a metagenomic analysis.

24 fecal metagenome samples from German children: 12 healthy controls, 7 with Crohn's disease, and 5 with ulcerative colitis, in a case-control (sibling) design. machine-written summary

24 samples · 48 runs · DE · Child · 2024 · 5.63 Gbp / sample

Sources
✓Sequence archive 168✓Abstract / description 24–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 archive168 sample values (collection date, country, health condition, health condition detail, latitude, location region, longitude)
✓ Abstract / description24 sample values (subject id)
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
– 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 sampling locations · 1 country
Age
child24
Condition
healthy_control12
crohns_disease7
ulcerative_colitis5
Country
DE24
Body site
primary24
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 1 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 1 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 22 samplesall 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 5.63 Gbp per sample0130Gbp
Sampling design and relatedness

siblings — not resolved

6 CD + 6 UC children with 12 healthy siblings; pairing per sample not committed (replicates disagreed).

How longitudinal and relatedness information is derived

Community composition
Bacteroides 14.4%Phocaeicola 13.6%Roseburia 5.3%Prevotella 5.0%Faecalibacterium 4.0%Alistipes 2.5%Ruminococcoides 2.4%Dialister 2.2%Akkermansia 1.9%Lachnospira 1.8%Mediterraneibacter 1.6%Blautia_A 1.4%not assigned to a genus 5.7%other genera 38.2%

Genera, mean relative abundance over 22 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category24 100%
country24 100%24
health_condition24 100%24
subject_id24 100%24
collection_date24 100%24
detailed_location24 100%
health_condition_detail24 100%24
latitude24 100%24
location_region24 100%24
longitude24 100%24
Papers (1)
  • Gut microbiota differs between children with Inflammatory Bowel Disease and healthy siblings in taxonomic and functional composition: a metagenomic analysis. 2017 PMID 28039159 own_data
Details
Archive description

Current treatment for pediatric inflammatory bowel disease (IBD) patients is often ineffective, with serious side effects. Manipulating the gut microbiota via fecal microbiota transplantation (FMT) is an emerging treatment approach but remains controversial. We aimed to assess the composition of the fecal microbiome through a comparison of pediatric IBD patients to their healthy siblings, evaluating risks and prospects for FMT in this setting. A case-control (sibling) study was conducted analyzing fecal samples of six children with Crohn’s disease (CD), six children with ulcerative colitis (UC) and 12 healthy siblings by metagenomic sequencing. Publication: https://doi.org/10.1152/ajpgi.00293.2016

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_unknown_no_evidence”
  • body site study.title · “Gut microbiota differs between”
  • body site study.description · “effects. Manipulating the gut microbiota via fecal”
  • life stage study.title · “microbiota differs between children with Inflammatory Bowel”
  • life stage study.description · “Current treatment for pediatric inflammatory bowel disease”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA115753918collection_date2013/2014R10.90biosample.attribute:collection_date2013/2014
SAMEA115753918countryDER10.90sample.attr.geographic_location_country_and_or_seaGermany
SAMEA115753918health_conditionulcerative_colitisR10.70sample.name_rule:titleIBD_58_UC
SAMEA115753918health_condition_detailUCR10.70sample.name_rule:titleIBD_58_UC
SAMEA115753918latitude50.2400R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude50.24 9.29
SAMEA115753918location_regionHesseR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude50.24 9.29
SAMEA115753918longitude9.2900R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude50.24 9.29
SAMEA115753918subject_idSAMEA115753918R40.60design.one_sample_per_subject:abstractsix children with Crohn's disease (CD), six children with ulcerative colitis (UC) and 12 healthy siblings
Sequencing

48 runs over 24 samples · mean 2.67 Gbp per run (median 0.53 Gbp, total 128.28 Gbp; 48 runs with a base count) · layout PAIRED 24, SINGLE 24 · platform ILLUMINA 48 · models Illumina HiSeq 2000 (48) · 46% of runs with a Sandpiper profile · first public 2024-06-18

Authors (8)

Knoll RL first · Forslund K · Kultima JR · Meyer CU · Kullmer U · Sunagawa S · Bork P · Gehring S last

Downloads

PRJEB76677.csv.gz (1.6 KB) · parquet (70.8 KB) — all 24 samples, every field with route and confidence · PRJEB76677_determinations.csv.gz (2.1 KB) — 192 evidence rows

Samples (24 · every field this project has values for · hover a cell for its source)
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