Evidence map›Paper›PMID 33176677›Full record

ArticleBMC microbiology2020

Comparison of different modes of antibiotic delivery on gut microbiota depletion efficiency and body composition in mouse.

Pauline Tirelle, Jonathan Breton, Gaëtan Riou, Pierre Déchelotte, Moïse Coëffier, David Ribet

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% of its field
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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. EngineeredAnimal nutrition (Zhongguo xu mu shou yi xue hui) · 2026
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  18. Antibiotic-induced microbiota depletion impairs the proregenerative response to a biological scaffold.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  20. Article

4 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 2 countries.

Pauline TirelleUNIROUEN, INSERM UMR 1073, Nutrition, Inflammation et dysfonction de l'axe intestin-cerveau, Normandie University, Rouen, France.
Jonathan BretonUNIROUEN, INSERM UMR 1073, Nutrition, Inflammation et dysfonction de l'axe intestin-cerveau, Normandie University, Rouen, France.
Gaëtan RiouUNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), Normandie University, Rouen, France.
Pierre DéchelotteUNIROUEN, INSERM UMR 1073, Nutrition, Inflammation et dysfonction de l'axe intestin-cerveau, Normandie University, Rouen, France.
Moïse CoëffierUNIROUEN, INSERM UMR 1073, Nutrition, Inflammation et dysfonction de l'axe intestin-cerveau, Normandie University, Rouen, France.
David RibetUNIROUEN, INSERM UMR 1073, Nutrition, Inflammation et dysfonction de l'axe intestin-cerveau, Normandie University, Rouen, France. david.ribet@inserm.fr.ORCID 0000-0003-1175-6471
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of animal models with depleted intestinal microbiota has recently increased thanks to the huge interest in the potential role of these micro-organisms in human health. In particular, depletion of gut bacteria using antibiotics has recently become popular as it represents a low cost and easy alternative to germ-free animals. Various regimens of antibiotics are used in the literature, which differ in composition, dose, length of treatment and mode of administration. In order to help investigators in choosing the most appropriate protocol for their studies, we compared here three modes of antibiotic delivery to deplete gut bacteria in C57Bl/6 mice. We delivered one of the most frequently used combination of antibiotics (a mix of ampicillin, neomycin, metronidazole and vancomycin) either ad libitum in drinking water or by oral gavage once or twice per day.

resultsWe quantified the global bacterial density, as well as the abundance of specific bacterial and fungal taxa, in mouse feces in response to antibiotics exposure. We observed that oral gavage once a day with antibiotics is not a reliable method as it occasionally triggers hyperproliferation of bacteria belonging to the Escherichia/Shigella taxon and leads, as a consequence, to a moderate decrease in fecal bacterial density. Antibiotics delivery by oral gavage twice a day or in drinking water induces in contrast a robust and consistent depletion of mouse fecal bacteria, as soon as 4 days of treatment, and is associated with an increase in fecal moisture content. Extending exposure to antibiotics beyond 7 days does not improve total bacteria depletion efficiency and promotes fungal overgrowth. We show in addition that all tested protocols impact neither gut microbiota recolonization efficiency, 1 or 2 weeks after the stop of antibiotics, nor mice body composition after 1 week of treatment.

conclusionsOur study provides key experimental data and highlights important parameters to consider before selecting an appropriate protocol for antibiotic-mediated depletion of gut bacteria, in order to optimize the accuracy and the reproducibility of results and to facilitate comparison between studies.

Indexed as

Administration, OralAnimalsAnti-Bacterial AgentsBacteriaBody CompositionFecesFungiGastrointestinal MicrobiomeMiceMice, Inbred C57BLAnti-Bacterial AgentsAntibioticsAntifungalsDysbiosisEscherichiaFecal bacteriaGut microbiomeGut microbiotaIntestinal microbiomeIntestinal microbiotaMouse model

Identifiers

PMID33176677
PMCPMC7657353
OpenAlexW3104326469

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.