Integrating multi-omics to unravel host-microbiome interactions in inflammatory bowel disease

The gut microbiome is crucial for nutrient metabolism, immune regulation, and intestinal homeostasis with changes in its composition linked to complex diseases like inflammatory bowel disease (IBD). Although the precise host-microbial mechanisms in disease pathogenesis remain unclear, high-throughpu...

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Veröffentlicht in:Cell reports. Medicine 2024-09, Vol.5 (9), p.101738, Article 101738
Hauptverfasser: Zhang, Yiran, Thomas, John P., Korcsmaros, Tamas, Gul, Lejla
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Sprache:eng
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Zusammenfassung:The gut microbiome is crucial for nutrient metabolism, immune regulation, and intestinal homeostasis with changes in its composition linked to complex diseases like inflammatory bowel disease (IBD). Although the precise host-microbial mechanisms in disease pathogenesis remain unclear, high-throughput sequencing have opened new ways to unravel the role of interspecies interactions in IBD. Systems biology—a holistic computational framework for modeling complex biological systems—is critical for leveraging multi-omics datasets to identify disease mechanisms. This review highlights the significance of multi-omics data in IBD research and provides an overview of state-of-the-art systems biology resources and computational tools for data integration. We explore gaps, challenges, and future directions in the research field aiming to uncover novel biomarkers and therapeutic targets, ultimately advancing personalized treatment strategies. While focusing on IBD, the proposed approaches are applicable for other complex diseases, like cancer, and neurodegenerative diseases, where the microbiome has also been implicated. [Display omitted] This review discusses the impact of multi-omics technologies in exploring the complex interplay between gut microbiota and host cell responses in inflammatory bowel disease (IBD). By integrating microbiome and host-omics data, this review provides insights into the molecular mechanisms underlying IBD pathogenesis and facilitate the development of personalized therapeutic strategies.
ISSN:2666-3791
2666-3791
DOI:10.1016/j.xcrm.2024.101738