Gut microbiome/resistome, neuro-ICU patients on antibiotics
75 rectal swab samples from adult neurointensive care patients in Denmark, collected before and after broad- or narrow-spectrum antibiotic treatment, in a case-control observational cohort study. machine-written summary
76 samples · 76 runs · DK · Adult · 2022 · 11.06 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 376 sample values (antibiotic exposure, collection date, country, subject id, timepoint) |
| ✓ Abstract / description | 152 sample values (health condition, health condition detail) |
| ✓ Full text | 76 sample values (location locality) · PMC8703874 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
intervention — arms not resolved
Antibiotic given as the study intervention (incl. eradication therapy design observational_with_procedure · Broad-spectrum (meropenem/piperacillin-tazobactam) vs narrow-spectrum antibiotics in NICU patients
“treated with broad-spectrum (meropenem or piperacillin/tazobactam) or narrow-spectrum antibiotic treatment” — bioproject.description (study level; per-sample arms are in the intervention column below)
longitudinal — not resolved
35 of 39 people sampled more than once (70 samples; median 2, up to 2 per person).
Genera, mean relative abundance over 65 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 | 76 | 100% | ||||
| country | 76 | 100% | 76 | |||
| health_condition | 76 | 100% | 76 | |||
| subject_id | 74 | 97% | 74 | |||
| collection_date | 76 | 100% | 76 | |||
| detailed_location | 76 | 100% | ||||
| health_condition_detail | 76 | 100% | 76 | |||
| location_locality | 76 | 100% | 76 | |||
| timepoint_label | 76 | 100% | 76 | |||
| antibiotic_exposure | 74 | 97% | 74 |
- Microbiome Compositions and Resistome Levels after Antibiotic Treatment of Critically Ill Patients: An Observational Cohort Study. 2021 PMID 34946144 PMC8703874 own_data
Archive description
Background: Hospitalization and treatment with antibiotics increase the risk of acquiring multidrug-resistant bacteria due to antibiotic-mediated changes in patient microbiota. This study aimed to investigate how broad and narrow antibiotics affect the gut microbiome and the resistome in antibiotic naïve patients during neurointensive care.Materials/methods: Patients admitted to neurointensive care unit were treated with broad-spectrum (meropenem or piperacillin/tazobactam) or narrow-spectrum antibiotic treatment (including ciprofloxacin, cefuroxime, vancomycin and dicloxacillin) according to clinical indications. A rectal swab was collected from each patient before and after 5-7 days of antibiotic therapy (N=34). Shotgun metagenomic sequencing was performed and composition of metagenomic species (MGS) was determined. The resistome (as collection of antibiotic resistance genes) was characterized with CARD RGI software and CARD database. As a measure for selection pressure in the patient, we used sum of number of days with each antibiotic (antibiotic days).Results: We observed a significant increase in richness and a tendency for an increase in Shannon index after narrow-spectrum treatment. For broad-spectrum treatment the effect was more diverse with some patients increasing and some decreasing in richness and Shannon index. This was studied further by comparison of patients who had gained or lost >10 MGS, respectively. Selection pressure was significantly higher in patients with decreased richness (p = 0.0054) and decreased Shannon index (p = 0.012) these patients tended to have received a higher number of antibiotics (for richness: P= 0.063 for Shannon index: P = 0.086). A decrease in MGS richness was significantly correlated to number of drugs administered and selection pressure of the patient. Bray-Curtis dissimilarities were significant between the pre- and post-treatment of samples in the narrow group, indicating that the longer the narrow-spectrum treatment, the higher the differences between the pre- and the post-treatment microbial composition. Changes in resistome followed MGS composition and was independent of administered antibiotics. We did not find significant differences between pre- and at post-treatment for both antibiotic spectrum treatments, however we observed that most of the antibiotic class resistance genes were higher in abundance in post-treatment after broad-spectrum treatment Conclusions:The MGS composition of the microbiome changed independently of the applied antibiotic treatment. Patients who received narrow-spectrum treatment exhibited an increase in alpha diversity, whereas patients who received broad-spectrum treatment exhibited opposite effects depending on the duration of the treatment with selection pressure and duration of treatment being higher in patients with a decreased MGS diversity. The selection pressure in the patient may be a better predictor of the effect on the microbiome than the spectrum of the antibiotics.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.62. Assay shotgun_dna.
- host study.description · “critically ill patients”
- body site study.description · “A rectal swab was collected”
- life stage study.description · “Patients admitted to neurointensive care”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA10833531 | antibiotic_exposure | no | R1 | 0.85 | biosample.attribute:DESCRIPTION | sample before treatment |
| SAMEA10833531 | collection_date | 2018 | R1 | 0.90 | biosample.attribute:collection_date | 2018 |
| SAMEA10833570 | collection_date | 2018 | R1 | 0.85 | biosample.attribute:collection date | 2018 |
| SAMEA10833531 | country | DK | R1 | 0.90 | sample.attr.geographic_location_country_and_or_sea | Denmark |
| SAMEA10833531 | health_condition | other_infection | R4 | 0.40 | study.description | Patients admitted to neurointensive care unit |
| SAMEA10833531 | health_condition_detail | Critically ill patients admitted to neurointensive care unit | R4 | 0.40 | study.description | Patients admitted to neurointensive care unit |
| SAMEA10833531 | location_locality | Copenhagen | R3 | 0.70 | paper.fulltext.methods | neurointensive care unit (NICU) at Rigshospitalet, Copenhagen, Denmark |
| SAMEA10833531 | subject_id | patient_1 | R1 | 0.70 | sample.name_rule:title | patient_1_1 |
| SAMEA10833570 | subject_id | patient_20 | R1 | 0.70 | sample.name_rule:TITLE | patient_20_2 |
| SAMEA10833531 | timepoint_label | sample before treatment | R1 | 0.85 | biosample.attribute:DESCRIPTION | sample before treatment |
Sequencing
76 runs over 76 samples · mean 9.76 Gbp per run (median 11.06 Gbp, total 741.42 Gbp; 76 runs with a base count) · layout PAIRED 76 · platform ILLUMINA 76 · models Illumina NovaSeq 6000 (76) · 87% of runs with a Sandpiper profile · first public 2022-01-21
Authors (10)
Nielsen KL first · Olsen MH · Pallejá A · Ebdrup SR · Sørensen N · Lukjancenko O · Marvig RL · Møller K · Frimodt-Møller N · Hertz FB last
Downloads
PRJEB48897.csv.gz (2.9 KB) · parquet (73.7 KB) — all 76 samples, every field with route and confidence · PRJEB48897_determinations.csv.gz (4.8 KB) — 604 evidence rows