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Multi-omics decodes host-specific and environmental microbiome interactions in sepsis
Jiamin Lu1,2, Wen Zhang1,2, Yuzhou He3
1Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Frontiers in Microbiology
|July 11, 2025
Summary
Multi-omics integration reveals host-microbiome interactions in sepsis, aiding diagnosis and personalized treatment. This approach addresses data challenges to advance sepsis care.
Area of Science:
- Microbiology
- Systems Biology
- Computational Biology
Background:
- Sepsis involves complex host-microbiome interactions.
- Understanding these interactions is crucial for diagnosis and treatment.
- Multi-omics data integration offers a powerful approach to study these mechanisms.
Purpose of the Study:
- To review the applications of multi-omics in host-microbiome interactions in sepsis.
- To highlight the potential of multi-omics for identifying sepsis biomarkers and guiding treatment.
- To summarize tools and challenges in multi-omics data integration for sepsis research.
Main Methods:
- Review of existing literature on multi-omics applications in sepsis.
- Discussion of data-driven and knowledge-guided integration strategies.
- Exploration of dimensionality reduction techniques and integration methods.
Main Results:
- Multi-omics integration is valuable for understanding sepsis pathogenesis.
- It facilitates the identification of novel diagnostic biomarkers.
- It supports the development of personalized and dynamic sepsis treatment strategies.
Conclusions:
- Multi-omics technologies are key to unraveling host-microbiome interactions in sepsis.
- Overcoming data integration challenges is essential for clinical translation.
- Future research should focus on refining computational tools and integration approaches.
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