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PRJNA804384 SRP358834

Gut virome in IBD patients on biological therapy

Inflammatory bowel disease patients undergoing biological therapy

432 longitudinal fecal samples from 181 IBD patients (Crohn's disease and ulcerative colitis) collected before and after starting one of four biological therapies, examining gut virome composition and association with treatment response. machine-written summary

432 samples · 432 runs · Adult · 2022 · 3.48 Gbp / sample

Sources
✓Sequence archive 3,888○Abstract / description○Full text✓Supplementary tables 1,678–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive3,888 sample values (age, health condition, health condition detail, intervention, intervention detail, medication, medication detail, sex)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10588789
✓ Supplementary tables1,678 sample values (bmi, collection date, smoking status, timepoint)
– 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
Interventions

intervention · arms resolved

drugdrug432 samples
single arm: samples on the intervention (no pre-intervention samples labelled)

Non-antibiotic pharmaceutical given as the study intervention (metformin design single_arm_before_after · population ibd_unspecified · Biological therapy (one of four agents) for IBD, pre/post samples

“treated with one out of four biological therapies” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
Age
adult386
elderly38
adolescent8
Condition
crohns_disease312
ulcerative_colitis120
Sex
female255
male177
Body site
primary432
Collected 2011–2019
2011: 39 samples2012: 22 samples2013: 7 samples2014: 22 samples2015: 9 samples2016: 41 samples2017: 144 samples2018: 115 samples2019: 24 samples20112019
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 %)all projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 164 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 268 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 3.48 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

181 of 181 people sampled more than once (432 samples; median 2, up to 6 per person) · follow-up median 6 mo (max 8.1 y) · median interval between samples 4 mo (time from age at collection). Schedule stated by the source: “Baseline (pre-intervention) and follow-up/primary endpoint sample per patient; 50 CD patients also have an additional week 14 sample.”.

1003810038: day 010038: day 10910038: day 2191007410074: day 010074: day 102310074: day 12051014710147: day 010147: day 11010147: day 2201040510405: day 010405: day 11010405: day 2191088510885: day 010885: day 10910885: day 21910885: day 168010885: day 175310885: day 18631105711057: day 011057: day 7311057: day 116811057: day 12421119311193: day 011193: day 10911193: day 2191148311483: day 011483: day 10911483: day 2191165511655: day 011655: day 7311655: day 1461176411764: day 011764: day 11011764: day 2191188111881: day 011881: day 7311881: day 2191208312083: day 012083: day 10912083: day 1821243712437: day 012437: day 7312437: day 1831248312483: day 012483: day 14712483: day 2561255812558: day 012558: day 10912558: day 2191267412674: day 012674: day 11012674: day 1461277012770: day 012770: day 7312770: day 11012770: day 2191294312943: day 012943: day 14612943: day 2191297312973: day 012973: day 10912973: day 1461302713027: day 013027: day 14613027: day 25613027: day 4021303513035: day 013035: day 11013035: day 1831309313093: day 013093: day 7413093: day 29313093: day 4021310413104: day 013104: day 10913104: day 1831324413244: day 013244: day 7313244: day 1831331713317: day 013317: day 10913317: day 2551333113331: day 013331: day 11013331: day 2191344613446: day 013446: day 11013446: day 1461345113451: day 013451: day 7313451: day 18313501350: day 01350: day 1101350: day 18318561856: day 01856: day 1091856: day 21937793779: day 03779: day 1103779: day 183608608: day 0608: day 73608: day 146608: day 2009608: day 2118608: day 222867166716: day 06716: day 1096716: day 1836716: day 2566716: day 40287248724: day 08724: day 1108724: day 20828724: day 219293719371: day 09371: day 739371: day 1829371: day 28129371: day 295895169516: day 09516: day 1109516: day 2199516: day 2920 d2.0 y4.0 y6.1 y8.1 y

Each row is one person (36 shown of 181); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Prevotella 11.1%Bacteroides 10.0%Faecalibacterium 4.8%Phocaeicola 3.8%Ruminococcoides 3.5%Alistipes 3.2%Veillonella 1.9%Dialister 1.7%Barnesiella 1.7%Roseburia 1.5%Megamonas 1.1%Romboutsia 1.0%not assigned to a genus 32.1%other genera 22.6%

Genera, mean relative abundance over 369 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category432 100%
country0 0%
health_condition432 100%432
subject_id432 100%432
age_at_collection_days432 100%432
health_condition_detail432 100%432
intervention432 100%432
intervention_detail432 100%432
medication432 100%432
medication_detail432 100%432
sex432 100%432
collection_date423 98%423
smoking_status423 98%423
timepoint_label423 98%423
bmi409 95%409
Papers (1)
  • Community Types of the Human Gut Virome are Associated with Endoscopic Outcome in Ulcerative Colitis. 2023 PMID 37052201 PMC10588789 own_data
Details
Archive description

The gut microbiota is a complex ecosystem that consists of viruses, fungi, bacteria, archaea, and protozoa. They can exert beneficial functions such as protection against pathogen invasion or production of essential vitamins. Occasionally, this ecosystem gets out of balance, resulting in gut dysbiosis. Gut dysbiosis is associated with several diseases, one of which is inflammatory bowel disease (IBD). Thus far, little is known about the role of the viral component in IBD aetiology and activity. To elucidate it further, we investigated the gut virome in a large prospective cohort of active patients initiating biological therapy. Fecal samples were collected from a total of 181 IBD patients. All patients had active disease at baseline and were treated with one out of four biological therapies. Pre-intervention and post-intervention samples were collected from every patient. We hypothesized and showed associations between the patients gut virota and therapy response.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by opus_adjudicated with confidence 0.75. Assay shotgun_dna.

  • host study.description · “a total of 181 IBD patients”
  • body site study.description · “Fecal samples were collected”
  • life stage sample.attr.age · “21 years (n=359/432)”
  • life stage sample.attr.age · “66.8 years (n=44/432)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN25740319age_at_collection_days12711.0R10.90sample.attr.age34.8 years
SAMN25740328bmi19.13R20.80paper.supp.jjad061_suppl_supplementary_table.xlsx[Supplementary Table 1!BMI]B10 | BMI: 19.13
SAMN25740328collection_date2011-03-08R20.80paper.supp.jjad061_suppl_supplementary_table.xlsx[Supplementary Table 1!Sample date]B10 | Sample date: 2011-03-08 00:00:00
SAMN25740319health_conditioncrohns_diseaseR10.90biosample_attrCD
SAMN25740319health_condition_detailinflammedR10.90sample.attr.health_stateinflammed
SAMN25740319interventiondrug_therapyR10.80biosample.attribute:treatmenttreatment: ADA
SAMN25740319intervention_detailadalimumab biologic therapyR10.80biosample.attribute:treatmenttreatment: ADA
SAMN25740319medicationimmunosuppressant_or_biologicR10.90biosample.attribute:treatmentADA
SAMN25740319medication_detailADAR10.90biosample.attribute:treatmentADA
SAMN25740319sexfemaleR10.90sample.attr.sexfemale
SAMN25740328smoking_statusneverR20.80paper.supp.jjad061_suppl_supplementary_table.xlsx[Supplementary Table 1!Smoking 2]B10 | Smoking 2: Non
SAMN25740319subject_id8089R10.85biosample.attribute:isolate8089
SAMN25740328timepoint_label0R20.80paper.supp.jjad061_suppl_supplementary_table.xlsx[Supplementary Table 1!Week]B10 | Week: 0
Sequencing

432 runs over 432 samples · mean 3.53 Gbp per run (median 3.48 Gbp, total 1,526.01 Gbp; 432 runs with a base count) · layout PAIRED 432 · platform ILLUMINA 432 · models Illumina NovaSeq 6000 (432) · 89% of runs with a Sandpiper profile · first public 2022-10-15

Authors (10)

Jansen D first · Falony G · Vieira-Silva S · Simsek C · Marcelis T · Caenepeel C · Machiels K · Raes J · Vermeire S · Matthijnssens J last

Downloads

PRJNA804384.csv.gz (19.5 KB) · parquet (94.7 KB) — all 432 samples, every field with route and confidence · PRJNA804384_determinations.csv.gz (51.6 KB) — 5,566 evidence rows

Samples (432 · every field this project has values for · hover a cell for its source)
Loading the sample table…