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PRJEB48897 ERP133335

Gut microbiome/resistome, neuro-ICU patients on antibiotics

Microbiome compositions and resistome levels after antibiotic treatment of critically ill patients – An observational cohort study

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

Sources
✓Sequence archive 376✓Abstract / description 152✓Full text 76○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 archive376 sample values (antibiotic exposure, collection date, country, subject id, timepoint)
✓ Abstract / description152 sample values (health condition, health condition detail)
✓ Full text76 sample values (location locality) · PMC8703874
○ 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
Interventions

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)

Samples at a glance
1 country
Age
adult76
Condition
other_infection76
Country
DK76
Body site
primary76
Collected 2018–2019
2018: 52 samples2019: 24 samples20182019
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: 2 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 7 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 25 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 42 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 11.06 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

35 of 39 people sampled more than once (70 samples; median 2, up to 2 per person).

How longitudinal and relatedness information is derived

Community composition
Prevotella 7.2%Phocaeicola 6.6%Bacteroides 5.1%Corynebacterium 3.7%Alistipes 3.6%Porphyromonas 3.5%Escherichia 3.1%Scatosoma 2.6%Parabacteroides 2.4%Porphyromonas_A 2.1%Borkfalkia 1.7%Enterococcus_B 1.7%not assigned to a genus 3.8%other genera 52.8%

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 coverage
fieldsamplescoverageR1R2R3R4
age_category76 100%
country76 100%76
health_condition76 100%76
subject_id74 97%74
collection_date76 100%76
detailed_location76 100%
health_condition_detail76 100%76
location_locality76 100%76
timepoint_label76 100%76
antibiotic_exposure74 97%74
Papers (1)
  • Microbiome Compositions and Resistome Levels after Antibiotic Treatment of Critically Ill Patients: An Observational Cohort Study. 2021 PMID 34946144 PMC8703874 own_data
Details
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)
samplefieldvaluerouteconf.sourcequote
SAMEA10833531antibiotic_exposurenoR10.85biosample.attribute:DESCRIPTIONsample before treatment
SAMEA10833531collection_date2018R10.90biosample.attribute:collection_date2018
SAMEA10833570collection_date2018R10.85biosample.attribute:collection date2018
SAMEA10833531countryDKR10.90sample.attr.geographic_location_country_and_or_seaDenmark
SAMEA10833531health_conditionother_infectionR40.40study.descriptionPatients admitted to neurointensive care unit
SAMEA10833531health_condition_detailCritically ill patients admitted to neurointensive care unitR40.40study.descriptionPatients admitted to neurointensive care unit
SAMEA10833531location_localityCopenhagenR30.70paper.fulltext.methodsneurointensive care unit (NICU) at Rigshospitalet, Copenhagen, Denmark
SAMEA10833531subject_idpatient_1R10.70sample.name_rule:titlepatient_1_1
SAMEA10833570subject_idpatient_20R10.70sample.name_rule:TITLEpatient_20_2
SAMEA10833531timepoint_labelsample before treatmentR10.85biosample.attribute:DESCRIPTIONsample 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

Samples (76 · every field this project has values for · hover a cell for its source)
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