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PRJEB42151 ERP125979

Fecal metagenomes from UC patients, San Diego, case-control

Metaomics Reveals Microbiome Based Proteolysis as a Driver of Ulcerative Colitis Severity

40 fecal/serum samples from ulcerative colitis patients (adults and elderly) in San Diego, CA, USA, studied in a case-control design to examine microbiome-derived protease activity linked to disease severity. machine-written summary

40 samples · 40 runs · US · Adult · 2020 · 1.26 Gbp / sample · cohort Multi-omics analyses of the ulcerative colitis gut

Sources
✓Sequence archive 429○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 archive429 sample values (age, country, health condition, health condition detail, latitude, location locality, location region, longitude)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC8852248
○ 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 sampling locations · 1 country
Age
adult36
elderly4
Condition
ulcerative_colitis40
Sex
male29
female11
Country
US40
Body site
primary40
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: 10 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 24 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 1.26 Gbp per sample0130Gbp
Community composition
Bacteroides 18.6%Phocaeicola 14.4%Faecalibacterium 8.5%Roseburia 7.2%Lachnospira 3.8%Blautia_A 3.4%Parabacteroides 2.2%Alistipes 2.0%Prevotella 2.0%Gemmiger 1.5%Acidaminococcus 1.4%Anaerostipes 1.3%not assigned to a genus 7.4%other genera 26.3%

Genera, mean relative abundance over 23 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category40 100%
country40 100%40
health_condition40 100%40
subject_id40 100%40
age_at_collection_days40 100%40
detailed_location40 100%
health_condition_detail40 100%40
latitude40 100%40
location_locality40 100%40
location_region40 100%40
longitude40 100%40
sex40 100%40
medication29 72%29
Papers (2)
  • Multi-omics analyses of the ulcerative colitis gut microbiome link Bacteroides vulgatus proteases with disease severity. 2022 PMID 35087228 PMC8852248 unsure
  • Pangenomic analysis identifies correlations between <i>Akkermansia</i> species and subspecies and human health outcomes. 2024 PMID 39421249 PMC11480726 unsure
Details
Archive description

Ulcerative colitis (UC) is driven by disturbed host-microbiota relations, but current treatments exclusively target host inflammatory pathways. To understand how host-microbiota interactions go awry in UC, we collected and analyzed six fecal or serum based –omic datasets from 40 UC patient samples displaying varying clinical, endoscopic, and histologic disease activity. A validation cohort of 210 samples (73 UC, 117 Crohn’s disease (CD), 20 healthy controls) was collected and analyzed separately and independently. Data integration across both cohorts showed that a subset of the clinically active UC patients had an over-abundance of proteases that originated from the bacterium, Bacteroides vulgatus. To test the hypothesis that B. vulgatus proteases contribute to UC disease activity, we first profiled B. vulgatus proteases and then selected an appropriate broad-spectrum protease inhibitor to evaluate their involvement in colitis models. Protease inhibition improved B. vulgatus-induced barrier dysfunction in vitro, and prevented colitis in B. vulgatus IL10 deficient monocolonized mice. Furthermore, transplantation of feces from UC patients with over-abundant B. vulgatus proteases into germ-free mice induced colitis dependent on protease activity. Together, these results stemming from a multi-omics approach, improve understanding of functional alterations in microbiota that drive UC and suggest inhibition of B. vulgatus proteases as a novel strategy to treat this disease.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult and elderly by opus_adjudicated with confidence 0.80. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • host study.description · “40 UC patient samples”
  • body site study.description · “six fecal or serum based –omic datasets”
  • body site run.scientific_name · “human gut metagenome”
  • life stage sample.attr.age · “20 (n=34/40)”
  • life stage sample.attr.age · “64 (n=6/40)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA7729733age_at_collection_days12053.2R10.90sample.attr.age33
SAMEA7729733countryUSR10.90sample.attr.geo_loc_nameUSA:CA:San Diego
SAMEA7729733health_conditionulcerative_colitisR10.90biosample_attrUC
SAMEA7729733health_condition_detailUCR10.90sample.attr.diseaseUC
SAMEA7729733latitude32.8420R10.90biosample.attribute:latitude+longitude32.842 -117.258
SAMEA7729733location_localitySan DiegoR10.85biosample.attribute:geo_loc_nameUSA:CA:San Diego
SAMEA7729733location_regionCaliforniaR10.75biosample.attribute:geo_loc_nameUSA:CA:San Diego
SAMEA7729733longitude-117.2580R10.90biosample.attribute:latitude+longitude32.842 -117.258
SAMEA7729733medicationcorticosteroidR10.90biosample.attribute:steroid_exposure1
SAMEA7729736medicationcorticosteroidR10.90biosample.attribute:current_steroids1
SAMEA7729733sexfemaleR10.90sample.attr.sexF
SAMEA7729733subject_id150675-121R10.85sample.attr.host_subject_id150675-121
Sequencing

40 runs over 40 samples · mean 1.19 Gbp per run (median 1.26 Gbp, total 47.53 Gbp; 40 runs with a base count) · layout PAIRED 40 · platform ILLUMINA 40 · models Illumina HiSeq 2500 (40) · 57% of runs with a Sandpiper profile · first public 2020-12-18

Authors (30)

Mills RH first · Dulai PS · Vázquez-Baeza Y · Sauceda C · Daniel N · Gerner RR · Batachari LE · Malfavon M · Zhu Q · Weldon K · Humphrey G · Carrillo-Terrazas M · Goldasich LD · Bryant M · Raffatellu M · Quinn RA · Gewirtz AT · Chassaing B · Chu H · Sandborn WJ · Dorrestein PC · Knight R · Gonzalez DJ last · Mueller KD first · Panzetta ME · Davey L · McCann JR · Rawls JF · Flores GE · Valdivia RH last

Downloads

PRJEB42151.csv.gz (2.2 KB) · parquet (72.3 KB) — all 40 samples, every field with route and confidence · PRJEB42151_determinations.csv.gz (3.6 KB) — 429 evidence rows

Samples (40 · every field this project has values for · hover a cell for its source)
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