Gao Yuan, Chen Hong, Wu Ruolan, Zhou ZuJun
Department of Emergency Medicine, Chonggang General Hospital, Chongqing, China.
Front Immunol. 2025 May 20;16:1590526. doi: 10.3389/fimmu.2025.1590526. eCollection 2025.
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 decision-making algorithm based on "combinatorial typing" is an important tool for realizing precision medicine for sepsis patients.
脓毒症是一种危及生命的全身性炎症综合征，其特征是复杂的免疫双相失衡。由于缺乏直接的治疗效用，免疫状态监测尚未在临床实践中实施。脓毒症患者的免疫失调是异质性和动态的。利用人工智能推动整合多组学数据，包括基因组学、转录组学、蛋白质组学和代谢组学，能够实现生物标志物监测和免疫分析。本综述重新审视肠道微生物作为脓毒症免疫中危重病驱动因素和重要调节参与者的作用。它借助人工智能专注于脓毒症临床生物标志物与肠道微环境相关参数的综合分析，从而实现标志物识别、免疫分层和预测建模。这种基于“组合分型”的可行临床决策算法是实现脓毒症患者精准医疗的重要工具。
