Related Experiment Video
Updated: May 20, 2025
07:42
A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
127
Multi-omic studies on the pathogenesis of Sepsis
Hongjie Tong1,2, Yuhang Zhao3, Ying Cui4
1Department of Critical Care Medicine, Jinhua Hospital Affiliated to Zhejiang University, Jinhua, Zhejiang, China.
Journal of Translational Medicine
|March 25, 2025
Summary
This study identifies key genes and metabolites causally linked to sepsis and sepsis mortality using Mendelian randomization. These findings offer novel therapeutic targets for sepsis treatment and future research.
Area of Science:
- Genetics
- Genomics
- Pharmacology
Background:
- Sepsis is a critical, life-threatening inflammatory condition with incompletely understood genetic underpinnings.
- Identifying genetic factors is crucial for developing effective sepsis treatments.
Purpose of the Study:
- To investigate the genetic architecture of sepsis and sepsis-related mortality.
- To identify potential therapeutic targets and mechanistic pathways for sepsis treatment.
Main Methods:
- Mendelian randomization (MR) analysis integrated multi-omics data (eQTLs, pQTLs) from UK Biobank and FinnGen cohorts.
- Sensitivity, SMR, reverse MR, genetic correlation, and colocalization analyses were performed.
- Drug prediction, molecular docking, PheWAS, and mediation analysis assessed therapeutic potential and side effects.
Main Results:
- MR identified 24 genes causally associated with sepsis and 7 with sepsis mortality.
- Validation confirmed 3 genes for sepsis and 6 for sepsis mortality.
- Molecular docking showed high drug-protein binding affinity; PheWAS indicated no significant side effects.
Conclusions:
- Identified genes, pathways, and metabolites provide novel insights into sepsis genetics.
- These findings highlight potential drug targets for sepsis treatment, advancing clinical research.
