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Exploration of effective biomarkers for venous thrombosis embolism in Behçet's disease based on comprehensive

Chunjiang Liu1, Yuan Wang2, Zhifeng Wu1,3

  • 1Division of Vascular Surgery, Department of General Surgery, Shaoxing People's Hospital, Shaoxing, 312000, China.

Scientific Reports
|July 10, 2024
PubMed

Insights

This study identified four key genes (E2F1, GATA3, HDAC5, MSH2) as potential biomarkers for diagnosing venous thromboembolism (VTE) in Behçet's disease (BD) patients. These findings may aid in early VTE detection and treatment strategies for BD.

Area of Science:

  • Immunology
  • Genetics
  • Vascular Medicine

Background:

  • Behçet's disease (BD) is a systemic autoimmune disorder.
  • Venous thromboembolism (VTE) is a common and serious complication in BD patients, affecting approximately 50%.
  • Identifying reliable biomarkers for VTE in BD is crucial for timely diagnosis and management.

Purpose of the Study:

  • To identify potential diagnostic biomarkers for VTE in Behçet's disease patients.
  • To explore the underlying molecular mechanisms and immune cell involvement in BD-associated VTE.
  • To screen for potential therapeutic agents targeting identified biomarkers.

Main Methods:

  • Analysis of three microarray datasets (GSE209567, GSE48000, GSE19151).
  • Identification of differentially expressed genes (DEGs) using Limma and WGCNA.
  • Protein-protein interaction network analysis, machine learning algorithms, ROC curve, and nomogram construction.
  • Immune cell infiltration analysis and ssGSEA.

Main Results:

  • 117 DEGs related to VTE in BD were identified; 23 candidate hub genes were selected.
  • Four key genes (E2F1, GATA3, HDAC5, MSH2) were identified as potential diagnostic biomarkers with high accuracy (AUC: 0.816).
  • Immune cell infiltration analysis indicated potential macrophage involvement; ssGSEA provided mechanistic insights.

Conclusions:

  • Four genes (E2F1, GATA3, HDAC5, MSH2) and a nomogram show promise for diagnosing VTE in BD patients.
  • Immune dysregulation, potentially involving macrophages, contributes to VTE development in BD.
  • The study identified potential therapeutic targets for BD-associated VTE.

Keywords:
Behçet’s diseaseBioinformatics analysisDiagnostic biomarkerMachine learningVenous thrombosis embolism

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