Unveiling the molecular features and diagnosis and treatment prospects of immunothrombosis via integrated bioinformatics analysis.
- Author:
Yafen WANG
1
;
Xiaoshuang WU
1
;
Zhixin LIU
1
;
Xinlei LI
1
;
Yaozhen CHEN
1
;
Ning AN
1
;
Xingbin HU
2
,
3
Author Information
1. Department of Blood Transfusion, The First Affiliated Hospital, Air Force Medical University, Xi'an 710032, China.
2. Department of Blood Transfusion, The First Affiliated Hospital, Air Force Medical University, Xi'an 710032, China. *Corresponding author, E-mail: hxbyqh@
3. com.
- Publication Type:Journal Article
- MeSH:
Humans;
Computational Biology/methods*;
Lupus Erythematosus, Systemic/immunology*;
Protein Interaction Maps/genetics*;
Venous Thromboembolism/therapy*;
Matrix Metalloproteinase 9/genetics*;
Extracellular Traps/metabolism*;
Gene Regulatory Networks;
Thrombosis/immunology*;
Graft vs Host Disease/genetics*;
Gene Expression Profiling
- From:
Chinese Journal of Cellular and Molecular Immunology
2025;41(3):228-235
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the common molecular features of immunothrombosis, thus enhancing the comprehension of thrombosis triggered by immune and inflammatory responses and offering crucial insights for identifying potential diagnostic and therapeutic targets. Methods Differential gene expression analysis and functional enrichment analysis were conducted on datasets of systemic lupus erythematosus (SLE) and venous thromboembolism (VTE). The intersection of differentially expressed genes in SLE and VTE with those of neutrophil extracellular traps (NET) yielded cross-talk genes (CG) for SLE-NET and VTE-NET interaction. Further analysis included functional enrichment and protein-protein interaction (PPI) network assessments of these CG to identify hub genes. Venn diagrams and receiver operating characteristic (ROC) curve analysis were employed to pinpoint the most effective shared diagnostic CG, which were validated using a graft-versus-host disease (GVHD) dataset. Results Differential expression genes in SLE and VTE were associated with distinct biological processes, whereas SLE-NET-CG and VTE-NET-CG were implicated in pathways related to leukocyte migration, inflammatory response, and immune response. Through PPI network analysis, several hub genes were identified, with matrix metalloproteinase 9 (MMP9) and S100 calcium-binding protein A12 (S100A12) emerging as the best shared diagnostic CG for SLE (AUC: 0.936 and 0.832) and VTE (AUC: 0.719 and 0.759). Notably, MMP9 exhibited good diagnostic performance in the GVHD dataset (AUC: 0.696). Conclusion This study unveils the common molecular features of SLE, VTE, and NET, emphasizing MMP9 and S100A12 as the optimal shared diagnostic CG, thus providing valuable evidence for the diagnosis and therapeutic strategies related to immunothrombosis. Additionally, the expression of MMP9 in GVHD highlights its critical role in the risk of VTE associated with immune system disorders.
