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PRJEB44119 ERP128131

ESBL-producing E. coli gut colonisation, Dutch, case-control

Gut colonisation by extended-spectrum β-lactamase-producing Escherichia coli and its association with the gut microbiome and metabolome in Dutch adults: a matched case-control study

101 faecal samples from Dutch adults, matched case-control comparing ESBL-producing E. coli-positive and -negative individuals using shotgun metagenomics and metabolomics. machine-written summary

101 samples · 102 runs · NL · Adult · 2021 · 1.25 Gbp / sample

Sources
✓Sequence archive 404○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 archive404 sample values (collection date, country, latitude, longitude)
○ Abstract / descriptionread; no usable statement
– 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 · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 sampling locations · 1 country
Age
adult101
Country
NL101
Body site
primary101
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: 5 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 95 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 1 samplesall 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 1.25 Gbp per sample0130Gbp
Community composition
Bifidobacterium 10.8%Faecalibacterium 10.2%Collinsella 5.5%Blautia_A 4.7%Gemmiger 4.3%Roseburia 4.0%Prevotella 3.8%Ruminococcoides 3.4%Fusicatenibacter 2.0%Alistipes 1.5%Vescimonas 1.5%Dialister 1.2%not assigned to a genus 9.4%other genera 37.7%

Genera, mean relative abundance over 90 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category101 100%
country101 100%101
health_condition0 0%
subject_id0 0%
collection_date101 100%101
latitude101 100%101
longitude101 100%101
Papers (1)
  • Gut colonisation by extended-spectrum ß-lactamase-producing Escherichia coli and its association with the gut microbiome and metabolome in Dutch adults: a matched case-control study. 2022 PMID 35659906 own_data
Details
Archive description

Background: Gut colonisation by extended-spectrum β-lactamase (ESBL)-producing Escherichia coli is a risk factor for developing overt infection. The gut microbiome can provide colonisation resistance against enteropathogens, but it remains unclear whether it confers resistance against ESBL-producing E coli. We aimed to identify a potential role of the microbiome in controlling colonisation by this antibiotic-resistant bacterium. Methods: For this matched case-control study, we used faeces from 2751 individuals in a Dutch cross-sectional population study (PIENTER-3) to culture ESBL-producing bacteria. Of these, we selected 49 samples that were positive for an ESBL-producing E coli (ESBL-positive) and negative for several variables known to affect microbiome composition. These samples were matched 1:1 to ESBL-negative samples on the basis of individuals' age, sex, having been abroad or not in the past 6 months, and ethnicity. Shotgun metagenomic sequencing was done and taxonomic species composition and functional annotations (ie, microbial metabolism and carbohydrate-active enzymes) were determined. Targeted quantitative metabolic profiling (proton nuclear magnetic resonance spectroscopy) was done to investigate metabolomic profiles and combinations of univariate (t test and Wilcoxon test), multivariate (principal coordinates analysis, permutational multivariate analysis of variance, and partial least-squares discriminant analysis) and machine-learning approaches (least absolute shrinkage and selection operator and random forests) were used to analyse all the molecular data. Findings: No differences in diversity parameters or in relative abundance were observed between ESBL-positive and ESBL-negative groups based on bacterial species-level composition. Machine-learning approaches using microbiota composition did not accurately predict ESBL status (area under the receiver operating characteristic curve [AUROC]=0·41) when using either microbiota composition or any of the functional profiles. The metabolome also did not differ between ESBL groups, as assessed by various methods including random forest (AUROC=0·61). Interpretation: By combining multiomics and machine-learning approaches, we conclude that asymptomatic gut carriage of ESBL-producing E coli is not associated with an altered microbiome composition or function. This finding might suggest that microbiome-mediated colonisation resistance against ESBL-producing E coli is not as relevant as it is against other enteropathogens and antibiotic-resistant bacteria.

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_unknown_no_evidence”
  • body site study.title · “Gut colonisation by extended-spectrum”
  • body site study.description · “Background: Gut colonisation by extended-spectrum”
  • life stage study.title · “metabolome in Dutch adults : a matched”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA8514700collection_date2016R10.90biosample.attribute:collection_date2016
SAMEA8514700countryNLR10.90sample.attr.geographic_location_country_and_or_seaNetherlands
SAMEA8514700latitude52.0000R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52 4,4931
SAMEA8514700longitude4.4931R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52 4,4931
Sequencing

102 runs over 101 samples · mean 1.43 Gbp per run (median 1.25 Gbp, total 146.25 Gbp; 102 runs with a base count) · layout PAIRED 102 · platform ILLUMINA 102 · models NextSeq 500 (102) · 89% of runs with a Sandpiper profile · first public 2021-08-29

Authors (12)

Ducarmon QR first · Zwittink RD · Willems RPJ · Verhoeven A · Nooij S · van der Klis FRM · Franz E · Kool J · Giera M · Vandenbroucke-Grauls CMJE · Fuentes S · Kuijper EJ last

Help complete this project

2 of the 4 core fields are below 50% coverage: health_condition, subject_id. Share metadata

Downloads

PRJEB44119.csv.gz (3.1 KB) · parquet (73.0 KB) — all 101 samples, every field with route and confidence · PRJEB44119_determinations.csv.gz (2.4 KB) — 404 evidence rows

Samples (101 · every field this project has values for · hover a cell for its source)
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