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PRJEB79317 ERP163493

Gut ARGs in ICU healthcare workers vs controls, China

Differences in Gut Microbiome Antibiotics Resistance Gene Between Healthcare Workers and the Healthy Population

Cross-sectional study of 290 fecal samples from ICU healthcare workers and healthy controls across eight medical centers in China, comparing gut antibiotic resistance gene abundance and composition via metagenomic sequencing. machine-written summary

290 samples · 290 runs · CN · Adult · 2025 · 17.55 Gbp / sample

Sources
✓Sequence archive 381✓Abstract / description 290✓Full text 580○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 archive381 sample values (country, health condition)
✓ Abstract / description290 sample values (subject id)
✓ Full text580 sample values (antibiotic exposure, collection date) · PMC12042561
○ 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 country
Age
adult290
Condition
healthy_control91
Country
CN290
Body site
primary290
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 %)all projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 289 samplesall projects, 30–100 Gbp: 3,024 samples (1 %)this project, 30–100 Gbp: 1 samplesall projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 17.55 Gbp per sample0130Gbp
Community composition
Faecalibacterium 7.3%Bacteroides 7.2%Blautia_A 6.7%Roseburia 6.3%Phocaeicola 6.2%Ruminococcoides 3.2%Escherichia 3.0%Bifidobacterium 2.9%Mediterraneibacter 2.6%Prevotella 2.4%Gemmiger 2.4%Alistipes 2.1%not assigned to a genus 2.9%other genera 44.6%

Genera, mean relative abundance over 280 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category290 100%
country290 100%290
health_condition91 31%91
subject_id290 100%290
antibiotic_exposure290 100%290
collection_date290 100%290
Papers (1)
  • Elevated antibiotic resistance gene abundance of ICU healthcare workers, a multicentre, cross-sectional study. 2025 PMID 40307838 PMC12042561 own_data
Details
Archive description

Antibiotic resistance is a global public health threat, impacting human, animal, and environmental health. Healthcare settings, with their high antibiotic usage, are significant sources of antibiotic resistance genes (ARGs). Therefore, we plan to use deep metagenomic sequencing to assess the abundance of ARGs in healthcare workers, particularly those in ICUs, and compare it with healthy controls.

How this project entered the registry

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

  • host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • body site study.title · “Differences in Gut Microbiome Antibiotics Resistance”
  • body site external_curation.infant_catalog · “body_site_call gut”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA115973281antibiotic_exposurenoR30.70paper.fulltext.methodsbroad-spectrum antibiotic use within 6 months
SAMEA115973281collection_date2024-01/2024-02R30.70paper.fulltext.abstractrecruiting from January 2024 to February 2024
SAMEA115973281countryCNR10.90sample.attr.geographic_location_country_and_or_seaChina
SAMEA115973472health_conditionhealthy_controlR10.70sample.name_rule:aliasCK_HC1
SAMEA115973281subject_idSAMEA115973281R40.60design.one_sample_per_subject:abstractProspective, multicentre, cross-sectional study
Sequencing

290 runs over 290 samples · mean 17.69 Gbp per run (median 17.55 Gbp, total 5,129.40 Gbp; 290 runs with a base count) · layout PAIRED 290 · platform ILLUMINA 290 · models Illumina NovaSeq X (290) · 97% of runs with a Sandpiper profile · first public 2025-02-13 – 2025-02-17

Authors (22)

Huang L first · Li K · Peng C · Gu S · Huang X · Gao C · Ren X · Cheng M · He G · Xu Y · Jiang Y · Wang H · Wang M · Shen P · Wang Q · He X · Zhong L · Wang S · Wang N · Zhang G · Cai H · Jiang C last

Downloads

PRJEB79317.csv.gz (8.1 KB) · parquet (81.8 KB) — all 290 samples, every field with route and confidence · PRJEB79317_determinations.csv.gz (7.5 KB) — 1,251 evidence rows

Samples (290 · every field this project has values for · hover a cell for its source)
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