Longevity PapersAbout
← All papers
RESEARCH PAPER / 2025-07-31

Integrative Analysis of the Mouse Cecal Microbiome Across Diet, Age, and Metabolic State in the Diverse BXD Population

Zhou, Z., Lamanna, A., Halder, R., Pansart, E., Boussoufa, B., Kerkour, T., Wilmes, P., Williams, E. G.

Luxembourg Centre for Systems Biomedicine, University of Luxembourg · biorxiv

Abstract

The gut microbiota both adapts to, and shapes, the metabolic state of individuals. This bidirectional relationship is mediated via circulating metabolites and gene regulatory networks and interacts with many organs, including by the gut-brain axis. Here, we have processed the cecum from 232 mice from our recent aging colony across age (6-24 months), diet (chow or high fat), and genetics (43 BXD strains) and sequenced their metagenome, metatranscriptome, and cecal transcriptome. We quantify changes in over 300 species caused by interactions between diet, age, and genetic background. Traditional bioinformatics approaches linked particular microbes to observed phenotypes, while newer machine learning models based microbial clusters accurately predicted host outcomes, including individual body weight (AUC = 0.92) and chronological age (AUC = 0.84). This was further enhanced by a compact 10-feature multi-omics model, combining our microbiome data with prior liver expression data to increase chronological age AUC to 0.95. Mechanistically, integrative network analyses identified dozens of significant links between particular bacterial taxa and gene expression, such as a strong negative correlation between host Ido1 expression and short-chain fatty acid (SCFA)-producing Lachnospiraceae, indicating dietary fat can modulate host tryptophan metabolism via microbiota shifts. Moreover, as our study uses inbred mice sampled across time, we have identified signature sets of taxonomies that provide excellent predictive value for future metabolic outcomes driven by metabolic networks connecting the microbiome to the host organism\'s tissues (here, cecum and liver from the same mice). By better understanding the gut-liver axis, we can understand the cellular etiologies of metabolic disease and identify earlier, personalized diagnostic biomarkers attuned to the genetic background and environmental state of the individual.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The study identifies significant interactions between the gut microbiome and host metabolic states, suggesting potential pathways for understanding and addressing metabolic diseases related to aging. This research is relevant as it explores the gut-liver axis and its implications for metabolic health, which are crucial for understanding the biological mechanisms of aging and developing interventions that could influence longevity.

Author of this paper? Send a correction.