Exploration of effective biomarkers for venous thrombosis embolism in Behcet's disease based on comprehensive bioinformatics analysis.

ABSTRACT: Behçet's disease (BD) is a multifaceted autoimmune disorder affecting multiple organ systems. Vascular complications, such as venous thromboembolism (VTE), are highly prevalent, affecting around 50% of individuals diagnosed with BD. This study aimed to identify potential biomarkers for VTE in BD patients. Three microarray datasets (GSE209567, GSE48000, GSE19151) were retrieved for analysis. Differentially expressed genes (DEGs) associated with VTE in BD were identified using the Limma package and weighted gene co-expression network analysis (WGCNA). Subsequently, potential diagnostic genes were explored through protein-protein interaction (PPI) network analysis and machine learning algorithms. A receiver operating characteristic (ROC) curve and a nomogram were constructed to evaluate the d

SUBMITTER: Liu C 

PROVIDER: S-EPMC11236978 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature