Article (Scientific journals)
Multi-level aggregation analysis of microbiome composition and host gene expression reveals associations with systemic and local immunity.
Shagam, Lev; Elizarova, Anna; Momozawa, Yukihide et al.
2026 • In Microbiology Spectrum, p. 0359325
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Keywords :
Catenibacterium; gut microbiome; hierarchical feature aggregation; host gene expression; immunity
Abstract :
[en] The human gut microbiome plays a critical role in immune regulation, yet the molecular links between microbiome composition and host gene expression remain incompletely understood. We analyzed associations between host gene expression and microbiome composition in a cohort of 315 healthy individuals, integrating microarray-based gene expression data from three intestinal sites (ileum, transverse colon, and rectum) and six immune cell types with microbiome sequencing data. Using a hierarchical feature aggregation strategy combining principal component analysis, clustering, and covariate correction, we discovered significant associations primarily related to immunity. While microbial profiles were similar across the three intestinal sites, the transverse colon yielded the most "microbiome-host gene expression" associations. Among the immune cell types, CD8+ cells showed the highest number of associations. The first principal component of microbiome composition, reflecting a gradient from commensals (e.g., Ruminococcaceae and Christensenellaceae) to proinflammatory taxa ([Ruminococcus] gnavus and Lachnoclostridium), correlated with the expression of TNF-α-linked genes (HMOX1, CPI17, HSD3B2, and SLC5A1). Among individual genera, Catenibacterium abundance was associated with gene expression in both intestinal and immune cells, including negative associations with MRPS21 (related to mitochondrial function) in the transverse colon and with CD8+ gene programs related to T cell differentiation. These findings align with emerging evidence implicating mitochondrial dysfunction in intestinal inflammation. Our results identify multi-level associations between the gut microbiome and host gene expression, suggesting potential mechanisms by which microbiota shape local and systemic immunity and vice versa. The implicated genes and taxa represent candidates for experimental validation to improve understanding of host-microbiome homeostasis and its disruption in disease.IMPORTANCEThe gut microbiome and immune system are engaged in a complex interplay throughout human life. While most associative studies focus on case-control comparisons-typically examining patients with conditions such as inflammatory bowel disease or metabolic diseases-less is known about the molecular links between the microbiome and immune system in healthy individuals. In this study of a large cohort of healthy individuals, we addressed this gap by applying multiscale modeling to tackle the high dimensionality of host-microbiome data. We identified multi-level associations between microbiome composition and host gene expression in both intestinal tissues and immune cells. These findings offer a valuable reference for understanding baseline host-microbiome communication and highlight molecular candidates-such as TNF-α-related genes and mitochondrial pathways-for future experimental validation.
Disciplines :
Genetics & genetic processes
Author, co-author :
Shagam, Lev ;  Université de Liège - ULiège > GIGA > GIGA Molecular & Computational Biology - Unit of Animal Genomics
Elizarova, Anna;  Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
Momozawa, Yukihide ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) > GIGA-R : Génomique animale
Dmitrieva, Julia;  Unit of Animal Genomics, GIGA Institute and Faculty of Veterinary Medicine, Avenue de l'Hôpital, University of Liège, Liège, Belgium
Mariman, Rob ;  Université de Liège - ULiège > Unités de recherche interfacultaires > GIGA-Research
Rahmouni, Souad  ;  Université de Liège - ULiège > GIGA > GIGA Molecular & Computational Biology - Unit of Animal Genomics
Louis, Edouard  ;  Université de Liège - ULiège > Département des sciences cliniques > Hépato-gastroentérologie
Georges, Michel  ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA) ; WELBIO Department, WEL Research Institute, Wavre, Belgium
Tyakht, Alexander V ;  Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
Klimenko, Natalia ;  Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
Language :
English
Title :
Multi-level aggregation analysis of microbiome composition and host gene expression reveals associations with systemic and local immunity.
Publication date :
10 August 2026
Journal title :
Microbiology Spectrum
eISSN :
2165-0497
Publisher :
American Society for Microbiology, United States
Pages :
e0359325
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
EU - European Union
EOS - The Excellence Of Science Program
WELBIO - Walloon Excellence in Life Sciences and Biotechnology
F.R.S.-FNRS - Fonds de la Recherche Scientifique
FWB - Wallonia-Brussels Federation
Ministry of Education and Science of the Russian Federation
Funding text :
This project was conducted with funding from the SYSCID H2020 grant (ref. 733100), the MyQuant (ref. 30770923), and BRIDGE (O.0006.22–RG3124) projects from the Excellence of Science (EOS) program (FNRS, Fédération Wallonie-Bruxelles and FWO, Flemish Community), the CLIMAX (WELBIO-CR-2022 A) project from WELBIO (Walloon Region), the RHEAQT (T.0096.19) and IBD-GI-Seq (T.0190.19) projects from the FNRS (Fédération Wallonie-Bruxelles), the ARC RHEACT WITH HSPC project from the University of Liège. Computational resources have been provided by the Consortium des Équipements de Calcul Intensif (CÉCI), funded by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS) under Grant No. 2.5020.11 and by the Walloon Region. Part of the work on the manuscript by A.E., N.K. and A.V.T. was supported by the Ministry of Science and Education of the Russian Federation, project No. 075-15-2025-475.
Available on ORBi :
since 12 August 2026

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