Evidence map›Paper›PMID 42059571›Full record

ArticlemSystems2026

Host genetics shapes the recovery of the gut microbiome after antibiotic treatment: the role of the blood group related

Aleksa Čepić, Philipp Rausch, Theresa Geese, Astrid Dempfle, Guntram A Grassl, John F Baines

Abstract read
In one paragraph

Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aleksa ČepićMax Planck Institute for Evolutionary Biology, Plön, Germany.ORCID 0009-0000-4483-0047
Philipp RauschInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Theresa GeeseInstitute of Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Astrid DempfleInstitute of Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Guntram A GrasslInstitute of Medical Microbiology and Hospital Epidemiology, Hannover Medical School and German Center for Infection Research (DZIF), Hannover, Germany.
John F BainesMax Planck Institute for Evolutionary Biology, Plön, Germany.ORCID 0000-0002-8132-4909

Funding

Deutsche Forschungsgemeinschaft 237291755Deutsche Forschungsgemeinschaft EXC 2167/2 - 390884018Deutsche Forschungsgemeinschaft FOR 5042 - 426660215
6 · The paper itself

Abstract

The intestinal microbiota is integral to host health, metabolism, and colonization resistance. Antibiotics can disrupt microbial homeostasis, leading to dysbiosis and altered colonization resistance. While antibiotic-induced microbiota disruption is well-documented, less is known about how host genetics shapes post-antibiotic recovery. Here, we investigate the impact of IMPORTANCE: Antibiotic treatments disrupt the gut microbiome, often leading to long-term alterations that potentially affect host health. While much is known about how antibiotics cause microbial dysbiosis, little is understood about the factors that could influence the speed of microbial community recovery, such as host genetic differences. Using a mouse model, this study reveals that genetic variation at the blood group-related

Indexed as

Anti-Bacterial AgentsGastrointestinal MicrobiomeN-AcetylgalactosaminyltransferasesAnimalsBacteriaMaleMiceMice, KnockoutRNA, Ribosomal, 16SStreptomycinAnti-Bacterial AgentsN-AcetylgalactosaminyltransferasesRNA, Ribosomal, 16SStreptomycinantibioticsB4galnt2glycosylationgut microbiotahost geneticsmousestreptomycin

Identifiers

PMID42059571
PMCPMC13185590

What OpenQuestion holds

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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.