败血症
重症监护医学
医学
精密医学
主机响应
表型
个性化医疗
桥接(联网)
生物信息学
免疫学
生物
计算机科学
免疫系统
病理
基因
生物化学
计算机网络
作者
Xue Zhang,Wei Zhang,Huan Zhang,Xuelian Liao
标识
DOI:10.3389/fimmu.2025.1546474
摘要
Sepsis, a heterogeneous illness produced by a dysregulated host response to infection, remains a severe mortality risk. Recent discoveries in sepsis research have stressed phenotyping as a feasible strategy for tackling heterogeneity and enhancing therapy precision. Sepsis phenotyping has moved from traditional stratifications based on severity and prognosis to dynamic, phenotype-driven therapeutic options. This review covers recent progress in connecting sepsis subgroups to personalized treatments, with a focus on phenotype-based therapeutic predictions and decision-support systems. Despite ongoing challenges, such as standardizing phenotyping frameworks and incorporating findings into clinical practice, this topic has enormous promise. By investigating phenotypic variation in therapy responses, we hope to uncover new biomarkers and phenotype-driven therapeutic solutions, laying the groundwork for more effective therapies and, ultimately improving patient outcomes.
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