Evidence map›Paper›PMID 34828011›Full record

ReviewAnimals : an open access journal from MDPI2021

Impact of Antibiotic Therapies on Resistance Genes Dynamic and Composition of the Animal Gut Microbiota.

Tony Rochegüe, Marisa Haenni, Stanislas Mondot, Chloé Astruc, Géraldine Cazeau, Tristan Ferry, Jean-Yves Madec, Agnese Lupo

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Tony RochegüeUnité Antibiorésistance et Virulence Bactériennes (AVB), ANSES-Université de Lyon 1, 31 Avenue Tony Garnier, 69007 Lyon, France.
Marisa HaenniUnité Antibiorésistance et Virulence Bactériennes (AVB), ANSES-Université de Lyon 1, 31 Avenue Tony Garnier, 69007 Lyon, France.ORCID 0000-0003-1333-5603
Stanislas MondotMicalis Institute, AgroParisTech, Université Paris-Saclay, INRAE, 78350 Jouy-en-Josas, France.
Chloé Astruc3C-G Clinical, 69238 Saint-Symphorien-sur-Coise, France.
Géraldine CazeauUnité Epidémiologie et Appui à la Surveillance (EAS), ANSES-Université de Lyon 1, 69007 Lyon, France.
Tristan FerryService des Maladies Infectieuses et Tropicales, CHU de Lyon, Hôpital de la Croix-Rousse, 69004 Lyon, France.
Jean-Yves MadecUnité Antibiorésistance et Virulence Bactériennes (AVB), ANSES-Université de Lyon 1, 31 Avenue Tony Garnier, 69007 Lyon, France.
Agnese LupoUnité Antibiorésistance et Virulence Bactériennes (AVB), ANSES-Université de Lyon 1, 31 Avenue Tony Garnier, 69007 Lyon, France.ORCID 0000-0001-5860-9511
Université Claude Bernard Lyon 1 · FRAgroParisTech · FR

Funding

Agence Nationale de la Recherche ANR-11-LABX-0048
6 · The paper itself

Abstract

Antibiotics are major disruptors of the gastrointestinal microbiota, depleting bacterial species beneficial for the host health and favoring the emergence of potential pathogens. Furthermore, the intestine is a reactor of antibiotic resistance emergence, and the presence of antibiotics exacerbates the selection of resistant bacteria that can disseminate in the environment and propagate to further hosts. We reviewed studies analyzing the effect of antibiotics on the intestinal microbiota and antibiotic resistance conducted on animals, focusing on the main food-producing and companion animals. Irrespective of antibiotic classes and animal hosts, therapeutic dosage decreased species diversity and richness favoring the bloom of potential enteropathogens and the selection of antibiotic resistance. These negative effects of antibiotic therapies seem ineluctable but often were mitigated when an antibiotic was administered by parenteral route. Sub-therapeutic dosages caused the augmentation of taxa involved in sugar metabolism, suggesting a link with weight gain. This result should not be interpreted positively, considering that parallel information on antibiotic resistance selection was rarely reported and selection of antibiotic resistance is known to occur also at low antibiotic concentration. However, studies on the effect of antibiotics as growth promoters put the basis for understanding the gut microbiota composition and function in this situation. This knowledge could inspire alternative strategies to antibiotics, such as probiotics, for improving animal performance. This review encompasses the analysis of the main animal hosts and all antibiotic classes, and highlights the future challenges and gaps of knowledge that should be filled. Further studies are necessary for elucidating pharmacodynamics in animals in order to improve therapy duration, antibiotic dosages, and administration routes for mitigating negative effects of antibiotic therapies. Furthermore, this review highlights that studies on aminoglycosides are almost inexistent, and they should be increased, considering that aminoglycosides are the first most commonly used antibiotic family in companion animals. Harmonization of experimental procedures is necessary in this research field. In fact, current studies are based on different experimental set-up varying for antibiotic dosage, regimen, administration, and downstream microbiota analysis. In the future, shotgun metagenomics coupled with long-reads sequencing should become a standard experimental approach enabling to gather comprehensive knowledge on GIM in terms of composition and taxonomic functions, and of

Indexed as

bacitracinbeta-lactamsbovinescatscompanion animalsdogsfluoroquinolonesfood-producing animalshorsesintestinal microbiotamacrolidespigspoultrytetracycline

Identifiers

PMID34828011
PMCPMC8614244
OpenAlexW3212224640

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.