Gut resistome recovery after antibiotics in Danish adults
57 fecal samples from healthy adult men in Denmark, collected in an intervention study examining gut microbiota and resistome changes following a broad-spectrum antibiotic treatment. machine-written summary
57 samples · 114 runs · DK · Adult · 2018 · 6.57 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 348 sample values (antibiotic exposure, collection date, country, intervention, latitude, location region, longitude, subject id) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC7338343 |
| ✓ Supplementary tables | 165 sample values (intervention, subject id, timepoint) |
| ✓ External resources | 171 sample values (health condition, health condition detail, sex) · from curatedMetagenomicData 3 (cMD 3) |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
intervention · arms resolved
12 people have samples in more than one arm.
Antibiotic given as the study intervention (incl. eradication therapy design single_arm_before_after · population healthy_control · 4-day broad-spectrum triple antibiotic intervention (meropenem, vancomycin, gentamicin)
“4-day intervention with three broad-spectrum antibiotics” — bioproject.description (study level; per-sample arms are in the intervention column below)
longitudinal
12 of 12 people sampled more than once (57 samples; median 5, up to 5 per person) · follow-up median 6 mo (max 9 mo) · median interval between samples 31 d (time from collection dates). Schedule stated by the source: “Fecal samples at Day 0 (pre-treatment), Day 4, Day 8, Day 42, Day 180 post antibiotic treatment”; stated follow-up 6 mo.
Each row is one person (12 shown); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 53 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 | 57 | 100% | ||||
| country | 57 | 100% | 57 | |||
| health_condition | 57 | 100% | 57 | |||
| subject_id | 57 | 100% | 2 | 55 | ||
| antibiotic_exposure | 57 | 100% | 57 | |||
| collection_date | 57 | 100% | 57 | |||
| detailed_location | 57 | 100% | ||||
| health_condition_detail | 57 | 100% | 57 | |||
| intervention | 57 | 100% | 2 | 55 | ||
| latitude | 57 | 100% | 57 | |||
| location_region | 57 | 100% | 57 | |||
| longitude | 57 | 100% | 57 | |||
| sex | 57 | 100% | 57 | |||
| timepoint_label | 57 | 100% | 2 | 55 |
- Mobilization of Antibiotic Resistance: Are Current Approaches for Colocalizing Resistomes and Mobilomes Useful? 2020 PMID 32695079 PMC7338343 own_data
- Individualized recovery of gut microbial strains post antibiotics. 2019 PMID 31632686 PMC6789009 unsure
- Metagenomic growth rate inferences of strains in situ. 2020 PMID 32494636 PMC7176420 unsure
- Dispersal strategies shape persistence and evolution of human gut bacteria. 2021 PMID 34111423 PMC8288446 unsure
- Functional profile of host microbiome indicates Clostridioides difficile infection. 2022 PMID 36289064 PMC9621045 unsure
7 more
- Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions. 2023 PMID 37553697 PMC10408196
- Uncovering Predictive Factors and Interventions for Restoring Microecological Diversity after Antibiotic Disturbance. 2023 PMID 37764709 PMC10536327
- A metagenomics pipeline reveals insertion sequence-driven evolution of the microbiota. 2024 PMID 38565143 PMC11081829
- Bacteroidales-Specific Antimicrobial Genes Can Influence the Selection of the Dominant Fecal Strain of Bacteroides vulgatus and Bacteroides uniformis from the Gastrointestinal Tract Microbial Community. 2024 PMID 38792577 PMC11121782
- Extensively acquired antimicrobial-resistant bacteria restructure the individual microbial community in post-antibiotic conditions. 2025 PMID 40360555 PMC12075632
- Microbes with higher metabolic independence are enriched in human gut microbiomes under stress. 2025 PMID 40377187 PMC12084026
- Metagenomic estimation of absolute bacterial biomass in the mammalian gut through host-derived read normalization. 2025 PMID 40742180 PMC12363224
Archive description
Antibiotics have profound impacts on the microbial communities living in the human gut, where bacterial species harbor and exchange antibiotic resistance genes collectively called resistome. Human population surveys have demonstrated that gut microbial resistomes reflect local antibiotics usage patterns, while previous small cohort studies based on single antibiotic exposures have shown varying degrees of antibiotic impact on the gut microbiota and their associated resistome. However, the role of resistomes of particular gut species in their ability to persist in the face of antibiotic treatment has not been systematically studied.Applying shotgun sequencing and quantitative metagenomics, we analyzed the partial eradication and subsequent regrowth of gut microbiota in 12 healthy young men over a 6 month period following a 4-day intervention with three broad-spectrum antibiotics. The gut microbial communities of the study subjects underwent profound compositional changes due to the treatment but slowly recovered to near-baseline compositions. Immediately after the treatment, the gut microbiota featured an increased relative abundance of opportunistic and proinflammatory bacterial species, and a decreased relative abundance of short chain fatty acid producers, while exhibiting an increased functional potential for multidrug efflux pumps and virulence factors. These enrichment trends were weaker after 8 days and mostly cleared out after 42 days. However, 9 common intestinal commensal species found at baseline and associated with short chain fatty production or efficient digestion of polysaccharides remained undetectable in most of the subjects even after 180 days.Carrying genes that confer resistance to the antibiotics used in this multidrug study had specific consequences for the survival and de novo colonization potential of microbial species. While species harboring beta-lactam resistance genes were positively selected during and after the intervention, those harboring glycopeptide or aminoglycoside resistance exhibited increased odds of de novo colonization but decreased odds of survival. Despite a mild long-lasting imprint following exposure to three antibiotics, the gut microbiota of healthy young adults are resilient to a broad-spectrum antibiotic intervention, and their recovery process is modulated by antibiotic resistance gene carriage.
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 · “Gut resistome modulates resilience”
- body site study.description · “in the human gut , where bacterial”
- life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
- life stage study.description · “12 healthy young men over a 6”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA104062398 | antibiotic_exposure | no | R1 | 0.70 | sample.name_rule:alias | ERAS1_Dag0 |
| SAMEA104062398 | collection_date | 2012-04-23 | R1 | 0.90 | biosample.attribute:collection_date | 2012-04-23 |
| SAMEA104062398 | country | DK | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | Denmark |
| SAMEA104062398 | health_condition | healthy_control | R2 | 0.75 | external.cmd source | disease: Healthy |
| SAMEA104062398 | health_condition_detail | Healthy | R2 | 0.75 | external.cmd source | disease: Healthy |
| SAMEA104062402 | intervention | no_intervention | R1 | 0.70 | sample.name_rule:alias | ERAS2_Dag0 |
| SAMEA104062398 | intervention | no_intervention | R2 | 0.85 | paper.supp.Data_Sheet_1.zip/Data Sheet 2.XLSX[Sheet1!TREATMENT] | ERR1995225: TREATMENT=Pre-treatment |
| SAMEA104062398 | latitude | 55.6500 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 55.65 12.47 |
| SAMEA104062398 | location_region | Capital Region | R1 | 0.60 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 55.65 12.47 |
| SAMEA104062398 | longitude | 12.4700 | R1 | 0.90 | biosample.attribute:geographic_location_latitude+geographic_location_longitude | 55.65 12.47 |
| SAMEA104062398 | sex | male | R2 | 0.75 | external.cmd source | sex: Male |
| SAMEA104062402 | subject_id | ERAS2 | R1 | 0.70 | sample.name_rule:alias | ERAS2_Dag0 |
| SAMEA104062398 | subject_id | ERAS1 | R2 | 0.85 | paper.supp.Data Sheet 2.XLSX[Sheet1!PATIENT ID] | ERAS1 |
| SAMEA104062402 | timepoint_label | day 0 | R1 | 0.70 | sample.name_rule:alias | ERAS2_Dag0 |
| SAMEA104062398 | timepoint_label | DAY_0 | R2 | 0.85 | paper.supp.Data Sheet 2.XLSX[Sheet1!TIME] | DAY_0 |
Sequencing
114 runs over 57 samples · mean 3.33 Gbp per run (median 1.70 Gbp, total 379.74 Gbp; 114 runs with a base count) · layout PAIRED 57, SINGLE 57 · platform ILLUMINA 114 · models Illumina HiSeq 2000 (114) · 46% of runs with a Sandpiper profile · first public 2018-05-24
Authors (43)
Slizovskiy IB first · Mukherjee K · Dean CJ · Boucher C · Noyes NR last · Chen J first · Zhu J · Lu W · Wang H · Pan M · Tian P · Zhao J · Zhang H · Chen W last · Koo H first · Morrow CD last · Tarracchini C first · Lugli GA · Mancabelli L · van Sinderen D · Turroni F · Ventura M · Milani C last · Baek JW first · Lim S · Park N · Song B · Kirtipal N · Nielsen J · Mardinoglu A · Shoaie S · Kim JI · Son JW · Koh A · Lee S last · Tang G first · Carr AV · Perez C · Ramos Sarmiento K · Levy L · Lampe JW · Diener C · Gibbons SM last
Downloads
PRJEB20800.csv.gz (2.7 KB) · parquet (73.1 KB) — all 57 samples, every field with route and confidence · PRJEB20800_determinations.csv.gz (7.2 KB) — 684 evidence rows