ESBL-producing E. coli gut colonisation, Dutch, case-control
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
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what each source gave
| ✓ Sequence archive | 404 sample values (collection date, country, latitude, longitude) |
| ○ Abstract / description | read; no usable statement |
| – Full text | no open-access full text linked |
| – Supplementary tables | no supplementary tables available (or none open access) |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet · share metadata |
| – Human verified | not yet checked by a person · I checked this project — verify it |
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 | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 101 | 100% | ||||
| country | 101 | 100% | 101 | |||
| health_condition | 0 | 0% | ||||
| subject_id | 0 | 0% | ||||
| collection_date | 101 | 100% | 101 | |||
| latitude | 101 | 100% | 101 | |||
| longitude | 101 | 100% | 101 |
- 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
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)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA8514700 | collection_date | 2016 | R1 | 0.90 | biosample.attribute:collection_date | 2016 |
| SAMEA8514700 | country | NL | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | Netherlands |
| SAMEA8514700 | latitude | 52.0000 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 52 4,4931 |
| SAMEA8514700 | longitude | 4.4931 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 52 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