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Transcriptome Combined with Mendelian Randomization to Identify and Validate Biomarkers Associated with Parthanatos
Haihong Zhao1,2, Bo Li3, Xia Jing1,2
1Department of Geriatric Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, People's Republic of China.
Journal of Inflammation Research
|August 21, 2025
Summary
This study identifies BRD1 and FOXJ3 as novel biomarkers for sepsis diagnosis and treatment. These parthanatos-related genes offer new insights into sepsis pathogenesis and clinical applications.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Sepsis is a life-threatening condition caused by infection and systemic inflammation.
- The precise molecular mechanisms underlying sepsis remain incompletely understood.
- Parthanatos-related genes (PRGs) are emerging as potential factors in sepsis pathogenesis.
Purpose of the Study:
- To investigate parthanatos-related genes (PRGs) as potential biomarkers for sepsis diagnosis.
- To explore PRGs for therapeutic targets in sepsis treatment.
- To elucidate the molecular basis of sepsis using PRG analysis.
Main Methods:
- Analysis of public gene expression datasets (GSE65682, GSE167363, GSE95233).
- Identification of differentially expressed genes (DEGs) and PRGs.
- Application of Mendelian randomization, machine learning, and ROC analysis for biomarker selection.
- Construction of a nomogram and prediction of therapeutic drugs.
Main Results:
- BRD1 and FOXJ3 were identified as significant sepsis biomarkers.
- A nomogram incorporating BRD1 and FOXJ3 demonstrated strong predictive capability.
- Immune cell infiltration analysis indicated a negative correlation between Macrophages M0 and BRD1/FOXJ3.
- Predicted drugs targeting BRD1 and FOXJ3 include digoxin, doxorubicin, and daunorubicin.
Conclusions:
- BRD1 and FOXJ3 serve as promising biomarkers for sepsis diagnosis and treatment.
- These findings contribute novel insights into sepsis pathogenesis.
- The identified biomarkers hold potential for clinical applications in managing sepsis.
