Evidence map›Paper›PMID 40668040›Full record

ArticleMicrobiologyOpen2025

Evaluating Effects of Antibiotics Across Preclinical Models of the Human Gastrointestinal Microbiota.

Thomas A Auchtung, Armando I Lerma, Keegan Schuchart, Jennifer M Auchtung

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Thomas A AuchtungDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID https://orcid.org/0000-0002-0135-6266
Armando I LermaDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Keegan SchuchartDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Jennifer M AuchtungDepartment of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID https://orcid.org/0000-0003-3038-583X

Funding

This study was supported by CDC contracts 200-2017-96080 and 75D301-18C-02909, as well as Nebraska Tobacco Settlement Biomedical Research Development Funds awarded to Jennifer M. Auchtung.
6 · The paper itself

Abstract

While antibiotics play important roles in treating infections, disruption of the gastrointestinal microbiota during antibiotic treatment can lead to negative health consequences. However, for many antibiotics, the spectrum of activity has been determined for select isolates rather than for the range of microbes that populate the gastrointestinal tract. Here, we examined the response of communities of gastrointestinal microbes to antibiotics using two different model systems, human fecal minibioreactors and human microbiota-associated mice. Communities established in minibioreactors using 12 different fecal donors were exposed to 12 different classes of antibiotics. Samples from three fecal donors were used to colonize germ-free mice from three different genetic backgrounds; progeny mice were then exposed to 6 of 12 antibiotics tested in minibioreactors. Initial bacterial community diversity was dependent on both the fecal donor and model system. Antibiotics affected a wide range of taxa across the phylogenetic spectrum, with many taxa similarly affected across treatments with different classes of antibiotics. Vancomycin, typically administered to treat Gram-positive bacterial infections, decreased the abundance of diverse taxa, including Gram-negative Bacteroidota species. Effects on some taxa were restricted by model system, indicating the importance of environmental context on antibiotic susceptibility. Altogether, these results indicate the complex interrelationships between microbiota composition and environmental context on antibiotic susceptibility and demonstrate strengths and weaknesses of each preclinical model system for evaluating effects of new antibiotics and other compounds with potential to disrupt the microbiota.

Indexed as

Anti-Bacterial AgentsBacteriaGastrointestinal MicrobiomeGastrointestinal TractAnimalsFecesHumansMiceMice, Inbred C57BLAnti-Bacterial Agentsantibioticshuman microbiota associated micein vitro bioreactorsmicrobiota

Identifiers

PMID40668040
PMCPMC12265406

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.