ArticleNature microbiology2026
Disentangling microbiota-dependent and -independent impacts of antibiotics on host physiology.
Article in Nature microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
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Who cites it
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Authors and funding
25 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibiotics are believed to affect host physiology by altering the gut microbiota. However, it remains unclear which effects of antibiotics are microbiota dependent and which are microbiota independent. Here we present a resource encompassing host and microbiota responses to antibiotic treatment and a computational tool with which to analyse them. Metagenomic and transcriptomic analyses of conventional and germ-free mice revealed that antibiotic administration routes and their combinations affect host and microbiota responses. We developed CompoRes-a computational tool that distinguishes the microbiota-independent impact of antibiotic-induced perturbations, revealing that antibiotics directly impact host physiology. We found that diurnal expression of major histocompatibility complex class II in the mouse colon is controlled by glucose via feeding. This pattern was lost during antibiotic treatment as vancomycin altered feeding behaviour in a microbiota-independent and evolutionarily conserved manner. Together, our study establishes a direct, non-microbial pathway by which antibiotics reshape host immunity and circadian physiology.
Identifiers
42897202What OpenQuestion holds
Registered trials
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.