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Updated: Jan 12, 2026

Identification of Intracellular Signaling Events Induced in Viable Cells by Interaction with Neighboring Cells Undergoing Apoptotic Cell Death
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Identification of Intracellular Signaling Events Induced in Viable Cells by Interaction with Neighboring Cells Undergoing Apoptotic Cell Death

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Identification and validation of key genes related to apoptosis in multiple organ dysfunction syndrome

Jian Zhang1,2, Zhi-Ying Wen2, Yan-Xiao Li2

  • 1Cardiac Care Unit, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

European Journal of Medical Research
|November 7, 2025
PubMed
Abstract

Insights

Apoptosis-related genes S100A9, S100A8, and BCL2A1 are key to Multiple Organ Dysfunction Syndrome (MODS). A nomogram model using these genes shows excellent predictive ability for MODS diagnosis and potential targeted therapy.

Area of Science:

  • Biomedical research
  • Genomics
  • Systems biology

Background:

  • Apoptosis plays a critical role in the pathogenesis of Multiple Organ Dysfunction Syndrome (MODS).
  • Identifying key apoptosis-related genes (ARGs) in MODS is crucial for improving diagnosis and treatment.
  • Understanding the molecular mechanisms of ARGs in MODS is essential for therapeutic development.

Purpose of the Study:

  • To identify key apoptosis-related genes (ARGs) implicated in the pathogenesis of Multiple Organ Dysfunction Syndrome (MODS).
  • To construct a predictive nomogram model based on identified key genes for MODS.
  • To explore the potential therapeutic targets and molecular mechanisms associated with these key genes in MODS.

Main Methods:

  • Utilized public databases for MODS-related data analysis, including differential gene expression and Weighted Gene Co-expression Network Analysis (WGCNA).
  • Integrated bioinformatics tools like Cytoscape and machine learning algorithms to identify key genes and validate their expression.
  • Performed functional enrichment analysis, immune infiltration analysis, SUMOylation analysis, and drug prediction for the identified key genes.

Main Results:

  • S100A9, S100A8, and BCL2A1 were identified as key ARGs in MODS, exhibiting significant overexpression.
  • These genes are involved in the "oxidative phosphorylation" pathway and correlate with differential immune cell infiltration in MODS.
  • A nomogram model based on these key genes demonstrated excellent predictive performance for MODS, with validated high expression in clinical samples.

Conclusions:

  • S100A9, S100A8, and BCL2A1 are identified as pivotal apoptosis-related genes in MODS.
  • The developed nomogram model offers significant predictive value for MODS diagnosis.
  • These findings present a novel approach and potential targeted therapeutic strategies for MODS clinical management.
Keywords:
ApoptosisKey genesMultiple organ dysfunction syndromeNomogramPredictive

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