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Updated: Jan 18, 2026

05:28
Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis
Published on: December 9, 2022
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Molecular Landscape and Predictive Significance of Programmed Cell Death-Related Genes in Sepsis
Shiqiang Min1, Tao Zhang1, Song Chen1
1Department of Emergency and Critical Care Medicine, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Human Mutation
|January 16, 2026
Summary
This study reveals programmed cell death (PCD) plays a key role in sepsis by analyzing gene expression. It identifies potential biomarkers for diagnosing sepsis and suggests new therapeutic targets.
Area of Science:
- Molecular Biology
- Immunology
- Genomics
Background:
- Sepsis is a life-threatening condition with high mortality.
- The molecular basis of sepsis, especially programmed cell death (PCD), requires further investigation.
Purpose of the Study:
- To explore transcriptomic alterations in sepsis.
- To understand the role of PCD in sepsis pathogenesis.
- To identify diagnostic biomarkers for sepsis.
Main Methods:
- Differential gene expression analysis of sepsis and control samples.
- Weighted Gene Co-expression Network Analysis (WGCNA) to identify key gene modules.
- Machine learning algorithms for diagnostic model development.
- scRNA-seq validation of identified feature genes.
Main Results:
- The turquoise module from WGCNA strongly correlated with sepsis.
- 262 hub genes, primarily linked to apoptotic pathways, were identified.
- A diagnostic model using eight machine learning algorithms showed high accuracy.
- Seven prognostic-related overlapping feature genes (PRGs) were identified.
- Genes like S100A9 and KLHL3 were linked to neutrophils, crucial in sepsis.
Conclusions:
- Programmed cell death (PCD) significantly contributes to sepsis.
- Identified genes and pathways offer potential therapeutic targets.
- The study provides a foundation for developing novel sepsis diagnostics and therapeutics.
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