Identification of potential therapeutic drug targets for sepsis by combining the human plasma proteome and genome: a Mendelian randomization study.

ABSTRACT:

Background

Currently, sepsis has an extremely high mortality rate and no specific treatment. Mendelian Randomization (MR) can utilize genetic variants as instrumental variables (IVs) to infer causal relationships between protein biomarkers and sepsis. We conducted a proteome-wide MR study to identify biological markers and therapeutic targets associated with sepsis.

Methods

The protein quantitative trait locus (pQTL) were analyzed using two data sources: 734 proteins from Zheng et al.; and 4,907 proteins from the deCODE database. The causal relationship between the candidate proteins and sepsis was then verified by a two-sample MR analysis, colocalization analysis, and summary data-based Mendelian randomization (SMR) analysis. A protein-protein interaction (PPI) analy

SUBMITTER: Zhou W 

PROVIDER: S-EPMC12090138 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature