MINI REVIEW article
Front. Immunol.
Sec. Inflammation
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1590526
This article is part of the Research TopicIntegrative AI and Multi-Omics: Precision Medicine in Immuno-InflammationView all 4 articles
AI-Driven Multi-Omics Profiling of Sepsis Immunity in the Digestive System
Provisionally accepted
- Department of Emergency Medicine, Chonggang General Hospital, Chongqing, China
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Sepsis is a life-threatening systemic inflammatory syndrome characterized by a complex immune biphasic imbalance. Monitoring of immune status has not yet been implemented in clinical practice due to lack of direct therapeutic utility. Immune dysregulation in sepsis patients is heterogeneous and dynamic. The use of artificial intelligence to drive the integration of multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics, enables biomarker monitoring and immunoassays. This review revisits gut microbes as critical illness drivers and important regulatory players in sepsis immunity. It focuses on the synthesis of clinical biomarkers of sepsis and parameters related to the gut microenvironment with the help of artificial intelligence, enabling marker identification, immunostratification and predictive modeling. This feasible clinical decisionmaking algorithm based on "combinatorial typing" is an important tool for realizing precision medicine for sepsis patients.
Keywords: Sepsis, multi-omics, AI, immune response, biomarkers, Gut Microbiota
Received: 09 Mar 2025; Accepted: 14 Apr 2025.
Copyright: © 2025 Gao, Chen, Wu and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ruolan Wu, Department of Emergency Medicine, Chonggang General Hospital, Chongqing, China
Zujun Zhou, Department of Emergency Medicine, Chonggang General Hospital, Chongqing, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.