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PRJEB56741 ERP141705

Gut metagenome in asthma: case-control study, USA

The gut metagenome harbors metabolic and antibiotic resistance signatures of established asthma

78 stool metagenome samples from a USA case-control study comparing healthy subjects and those with moderate-to-severe asthma, examining metabolic pathways and antibiotic resistance gene signatures. machine-written summary

78 samples · 78 runs · US · Mixed ages · 2024 · 3.12 Gbp / sample · cohort The gut metagenome harbors metabolic and antibioti

One study deposited as 2 BioProjects (173 catalog samples together): PRJEB56741 · PRJEB59709 · show together

Sources
✓Sequence archive 234✓Abstract / description 78✓Full text 156✓Supplementary tables 247–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive234 sample values (collection date, country, subject id)
✓ Abstract / description78 sample values (health condition detail)
✓ Full text156 sample values (location locality, location region) · PMC10981462
✓ Supplementary tables247 sample values (antibiotic exposure, health condition, sex, smoking status)
– 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
unknown78
Condition
healthy_control50
allergy_or_atopy28
Sex
female46
male32
Country
US78
Body site
primary78
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: 35 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 42 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 3.12 Gbp per sample0130Gbp
Community composition
Roseburia 10.5%Blautia_A 7.8%Faecalibacterium 7.1%Bacteroides 6.5%Phocaeicola 5.1%Prevotella 4.1%Anaerostipes 2.6%Bifidobacterium 2.6%Ruminococcoides 2.5%Alistipes 2.3%Mediterraneibacter 2.1%Fusicatenibacter 2.1%not assigned to a genus 7.7%other genera 37.0%

Genera, mean relative abundance over 69 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country78 100%78
health_condition78 100%78
subject_id78 100%78
antibiotic_exposure78 100%78
collection_date78 100%78
detailed_location78 100%
health_condition_detail78 100%78
location_locality78 100%78
location_region78 100%78
sex78 100%78
smoking_status13 17%13
Papers (1)
  • The gut metagenome harbors metabolic and antibiotic resistance signatures of moderate-to-severe asthma. 2024 PMID 38560624 PMC10981462 own_data
Details
Archive description

Asthma is a common allergic airway disease that develops in association with the human microbiome early in life. Both the composition and function of the infant gut microbiota have been linked to asthma risk, but functional alterations in the gut microbiota of older patients with established asthma remain an important knowledge gap. Here, we performed whole metagenomic shotgun sequencing on 95 stool samples from 59 healthy and 36 subjects with moderate-to-severe asthma to characterize the metagenomes of gut microbiota in children and adults 6 years and older. Mapping of functional orthologs revealed that asthma contributes to 2.9% of the variation in metagenomic content even when accounting for other important clinical demographics. Differential abundance analysis showed an enrichment of long-chain fatty acid (LCFA) metabolism pathways which has been previously implicated in airway smooth muscle and immune responses in asthma. We also observed increased richness of antibiotic resistance genes in people with asthma accompanied by increased abundance of a macrolide resistance marker, ermF. ErmF significantly co-occurred with the Bacteroides fragilis toxin, suggesting a possible relationship between enterotoxigenic B. fragilis, antibiotic resistance, and asthma. Lastly, we found multiple virulence factors and antibiotic resistance gene pairs that co-occurred in both cohorts suggesting that virulence and antibiotic resistance traits are co-selected in the fecal microbiota of asthmatics. Overall, our results show functional alterations in LCFA biosynthesis and increases in antibiotic resistance in the gut microbiota of subjects with moderate-to-severe asthma and could have implications asthma management and treatment.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of child and adult by sonnet_x2 with confidence 0.68. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site study.description · “95 stool samples from 59 healthy”
  • life stage study.description · “children and adults 6 years and older”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA112253744antibiotic_exposureyesR20.80paper.supp.xtae010_supplemental_files.zip::Table S1.xlsx[Table S1!Antibiotics used in the past 12 months / ]Subject=MARS0002; Antibiotics used in the past 12 months /=TRUE
SAMEA112253744collection_date2015R10.90biosample.attribute:collection_date2015
SAMEA112253744countryUSR10.90sample.attr.geographic_location_country_and_or_seaUSA
SAMEA112253744health_conditionallergy_or_atopyR20.80paper.supp.xtae010_supplemental_files.zip::Table S1.xlsx[Table S1!Asthma]Subject=MARS0002; Asthma=Asthmatic
SAMEA112253744health_condition_detailmixed_case_control: healthy controls vs moderate-to-severe asthmaR40.50study.description59 healthy and 36 subjects with moderate-to-severe asthma
SAMEA112253744location_localitySt. LouisR30.70paper.body.methods_resultsMARS participants were recruited from the St. Louis, Missouri area
SAMEA112253744location_regionMissouriR30.70paper.body.methods_resultsMARS participants were recruited from the St. Louis, Missouri area
SAMEA112253744sexfemaleR20.80paper.supp.xtae010_supplemental_files.zip::Table S1.xlsx[Table S1!Sex]Subject=MARS0002; Sex=Female
SAMEA112253745smoking_statuscurrentR20.80paper.supp.xtae010_supplemental_files.zip::Table S1.xlsx[Table S1!Tobacco Use]Subject=MARS0003; Tobacco Use=TRUE
SAMEA112253744subject_idMARS0002R10.80biosample.attribute:aliasalias: MARS0002
Sequencing

78 runs over 78 samples · mean 3.57 Gbp per run (median 3.12 Gbp, total 278.30 Gbp; 78 runs with a base count) · layout PAIRED 78 · platform ILLUMINA 78 · models Illumina NovaSeq 6000 (78) · 88% of runs with a Sandpiper profile · first public 2024-12-28

Authors (0)

No author record.

Downloads

PRJEB56741.csv.gz (3.1 KB) · parquet (74.1 KB) — all 78 samples, every field with route and confidence · PRJEB56741_determinations.csv.gz (6.8 KB) — 715 evidence rows

Samples (78 · every field this project has values for · hover a cell for its source)
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