Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel disease

Numerous studies have accelerated the knowledge expansion on the role of gut microbiota in inflammatory bowel disease (IBD). However, the precise mechanisms behind host-microbe cross-talk remain largely undefined, due to the complexity of the human intestinal ecosystem and multiple external factors....

Full description

Saved in:
Bibliographic Details
Main Authors: Fengyuan Su, Meng Su, Wenting Wei, Jiayun Wu, Leyan Chen, Xiqiao Sun, Moyan Liu, Shiqiang Sun, Ren Mao, Arno R. Bourgonje, Shixian Hu
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Gut Microbes
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/19490976.2025.2476570
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850123183023194112
author Fengyuan Su
Meng Su
Wenting Wei
Jiayun Wu
Leyan Chen
Xiqiao Sun
Moyan Liu
Shiqiang Sun
Ren Mao
Arno R. Bourgonje
Shixian Hu
author_facet Fengyuan Su
Meng Su
Wenting Wei
Jiayun Wu
Leyan Chen
Xiqiao Sun
Moyan Liu
Shiqiang Sun
Ren Mao
Arno R. Bourgonje
Shixian Hu
author_sort Fengyuan Su
collection DOAJ
description Numerous studies have accelerated the knowledge expansion on the role of gut microbiota in inflammatory bowel disease (IBD). However, the precise mechanisms behind host-microbe cross-talk remain largely undefined, due to the complexity of the human intestinal ecosystem and multiple external factors. In this review, we introduce the interactome concept to systematically summarize how intestinal dysbiosis is involved in IBD pathogenesis in terms of microbial composition, functionality, genomic structure, transcriptional activity, and downstream proteins and metabolites. Meanwhile, this review also aims to present an updated overview of the relevant mechanisms, high-throughput multi-omics methodologies, different types of multi-omics cohort resources, and computational methods used to understand host-microbiota interactions in the context of IBD. Finally, we discuss the challenges pertaining to the integration of multi-omics data in order to reveal host-microbiota cross-talk and offer insights into relevant future research directions.
format Article
id doaj-art-830493fd2ebb4464928491b0429b75ea
institution OA Journals
issn 1949-0976
1949-0984
language English
publishDate 2025-12-01
publisher Taylor & Francis Group
record_format Article
series Gut Microbes
spelling doaj-art-830493fd2ebb4464928491b0429b75ea2025-08-20T02:34:39ZengTaylor & Francis GroupGut Microbes1949-09761949-09842025-12-0117110.1080/19490976.2025.2476570Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel diseaseFengyuan Su0Meng Su1Wenting Wei2Jiayun Wu3Leyan Chen4Xiqiao Sun5Moyan Liu6Shiqiang Sun7Ren Mao8Arno R. Bourgonje9Shixian Hu10Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, ChinaThe First Clinical Medical School, Nanfang Hospital of Southern Medical University, Guangzhou, ChinaZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, ChinaZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, ChinaZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, ChinaZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, ChinaAmsterdam UMC location Academic Medical Center, Department of Experimental Vascular Medicine, Amsterdam, The NetherlandsDepartment of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, Groningen, The NetherlandsDepartment of Gastroenterology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, ChinaDepartment of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, Groningen, The NetherlandsInstitute of Precision Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, ChinaNumerous studies have accelerated the knowledge expansion on the role of gut microbiota in inflammatory bowel disease (IBD). However, the precise mechanisms behind host-microbe cross-talk remain largely undefined, due to the complexity of the human intestinal ecosystem and multiple external factors. In this review, we introduce the interactome concept to systematically summarize how intestinal dysbiosis is involved in IBD pathogenesis in terms of microbial composition, functionality, genomic structure, transcriptional activity, and downstream proteins and metabolites. Meanwhile, this review also aims to present an updated overview of the relevant mechanisms, high-throughput multi-omics methodologies, different types of multi-omics cohort resources, and computational methods used to understand host-microbiota interactions in the context of IBD. Finally, we discuss the challenges pertaining to the integration of multi-omics data in order to reveal host-microbiota cross-talk and offer insights into relevant future research directions.https://www.tandfonline.com/doi/10.1080/19490976.2025.2476570IBDgut microbiomehost-microbiota interactomemulti-omicsmethodologies
spellingShingle Fengyuan Su
Meng Su
Wenting Wei
Jiayun Wu
Leyan Chen
Xiqiao Sun
Moyan Liu
Shiqiang Sun
Ren Mao
Arno R. Bourgonje
Shixian Hu
Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel disease
Gut Microbes
IBD
gut microbiome
host-microbiota interactome
multi-omics
methodologies
title Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel disease
title_full Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel disease
title_fullStr Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel disease
title_full_unstemmed Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel disease
title_short Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel disease
title_sort integrating multi omics data to reveal the host microbiota interactome in inflammatory bowel disease
topic IBD
gut microbiome
host-microbiota interactome
multi-omics
methodologies
url https://www.tandfonline.com/doi/10.1080/19490976.2025.2476570
work_keys_str_mv AT fengyuansu integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT mengsu integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT wentingwei integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT jiayunwu integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT leyanchen integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT xiqiaosun integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT moyanliu integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT shiqiangsun integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT renmao integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT arnorbourgonje integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease
AT shixianhu integratingmultiomicsdatatorevealthehostmicrobiotainteractomeininflammatoryboweldisease