孟德尔随机化
败血症
免疫系统
生物
免疫学
表型
计算生物学
生物信息学
遗传学
基因
遗传变异
基因型
作者
Yongsan Yang,Lei Dong,Jing Wang,Ye Huang,Xiaoxi Zeng
摘要
Abstract Sepsis is one of the major challenges in intensive care units, characterized by the complexity of the host immune status. To gain a deeper understanding of the pathogenesis of sepsis, it is crucial to study the phenotypic changes in immune cells and their underlying molecular mechanisms. We conducted Summary data‐based Mendelian randomization analysis by integrating genome‐wide association studies data for sepsis with expression quantitative trait locus data, revealing a significant decrease in the expression levels of 17 biomarkers in sepsis patients. Furthermore, based on single‐cell RNA sequencing data, we elucidated potential molecular mechanisms at single‐cell resolution and identified that LGALS9 inhibition in sepsis patients leads to the activation and differentiation of monocyte and T‐cell subtypes. These findings are expected to assist researchers in gaining a more in‐depth understanding of the immune dysregulation in sepsis.
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