Cited by 440Gut microbiota and healthOral microbiology and periodontitis researchMicrobial Community Ecology and Physiology

Antibiotic perturbations to the gut microbiome

Open access
Fishbein, Skye R. S., Mahmud, Bejan, Dantas, Gautam·2023·Nature Reviews Microbiology

Abstract

Antibiotic-mediated perturbation of the gut microbiome is associated with numerous infectious and autoimmune diseases of the gastrointestinal tract. Yet, as the gut microbiome is a complex ecological network of microorganisms, the effects of antibiotics can be highly variable. With the advent of multi-omic approaches for systems-level profiling of microbial communities, we are beginning to identify microbiome-intrinsic and microbiome-extrinsic factors that affect microbiome dynamics during antibiotic exposure and subsequent recovery. In this Review, we discuss factors that influence restructuring of the gut microbiome on antibiotic exposure. We present an overview of the currently complex picture of treatment-induced changes to the microbial community and highlight essential considerations for future investigations of antibiotic-specific outcomes. Finally, we provide a synopsis of available strategies to minimize antibiotic-induced damage or to restore the pretreatment architectures of the gut microbial community.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41579-023-00933-y

Cites

229 of 229 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Median time to pathogen identification with standard techniques is approximately 96 h.

    “Median times to pathogen identification with standard techniques have been reported near 96 h, a critical window during which unnecessary antimicrobial exposure can increase adverse events and the risk of colonization by resistant organisms (3–5).”

    From Optimized use of the FilmArray Meningitis/Encephalitis panel for early discontinuation of antibiotic therapy (2026) · cites this paper as [4]

    The passages from “Species and community determinants of susceptibility during antibiotic exposure” discuss susceptibility testing, but give no time to pathogen identification. Searches for a 96-hour median and diagnostic turnaround time found no passage addressing that figure. Page numbers were not available in our copy. (LLM, conf=0.73)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Fishbein, S. R. S., Mahmud, B., & Dantas, G.
Affiliations
Washington University in St. Louis (US)
Corresponding author
Dantas, Gautam
Venue
Nature Reviews Microbiology
Published
2023-07-25
Volume
21
Issue
12
Pages
772-788
ISSN
  • 1740-1526 (ISSN-L)
  • 1740-1534
OpenAlex
W4385240643
Cited by
440
References
229
Citations by year
2026: 152 · 2025: 165 · 2024: 115 · 2023: 7 · 2017: 1
FWCI
11.59
Type
journal article
Language
en
Open access
Locations
  • Nature Reviews Microbiology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • U.S. Department of Health and Human Services
  • National Institutes of Health
  • Centers for Disease Control and Prevention (R01OH011578)
  • Agency for Healthcare Research and Quality (R01 HS027621)
  • National Institute of Allergy and Infectious Diseases (U01AI123394, R01AI155893)
  • National Institute of Diabetes and Digestive and Kidney Diseases (T32DK077653)
  • National Institute for Occupational Safety and Health (R01 OH011578)
  • National Center for Complementary and Integrative Health (R01AT009741)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD092414)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
Keywords
gut microbiota, antibiotics, microbiome perturbation, microbiome recovery, gastrointestinal diseases, autoimmune disease, multi-omics profiling
MeSH terms
Gastrointestinal Microbiome, Anti-Bacterial Agents, Gastrointestinal Tract, Microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review