Related Experiment Video
Updated: Feb 26, 2026

07:12
Chronic Post-Ischemia Pain Model for Complex Regional Pain Syndrome Type-I in Rats
Published on: January 21, 2020
8.4K
Analysis of gene expression profile microarray data in complex regional pain syndrome
Wulin Tan1, Yiyan Song2, Chengqiang Mo3
1Department of Anesthesiology, The First Affiliated Hospital of Sun Yat‑sen University, Guangzhou, Guangdong 510080, P.R. China.
Molecular Medicine Reports
|July 18, 2017
Summary
Bioinformatics analysis identified key genes and pathways in complex regional pain syndrome (CRPS). Human leukocyte antigen (HLA) genes and immune response pathways are crucial for CRPS development and potential diagnosis.
Area of Science:
- Genomics
- Immunology
- Bioinformatics
Background:
- Complex Regional Pain Syndrome (CRPS) is a debilitating condition with poorly understood underlying mechanisms.
- Identifying key molecular players in CRPS is essential for developing diagnostic biomarkers and targeted therapies.
Purpose of the Study:
- To predict key genes and proteins associated with CRPS using bioinformatics analysis of gene expression data.
- To identify potential diagnostic biomarkers and therapeutic targets for CRPS.
Main Methods:
- Gene expression profiling data (GSE47603) from CRPS patients and healthy controls were analyzed.
- Differentially expressed genes (DEGs) were identified using GEO2R.
- Functional enrichment analysis and protein-protein interaction (PPI) network analysis were performed using DAVID, STING, and Cytoscape.
Main Results:
- A total of 257 DEGs were identified, with 243 upregulated and 14 downregulated.
- Genes in the human leukocyte antigen (HLA) family, including HLA-DQB1 and HLA-DRB1, were significantly differentially expressed.
- Key genes such as EP300, CREBBP, STAT3, STAT5A, and integrin αM were identified through PPI network analysis.
- Enrichment analysis highlighted the involvement of immune response, cell motion, adhesion, and angiogenesis pathways in CRPS.
Conclusions:
- The immune response plays a significant role in the development of CRPS.
- HLA family genes may serve as potential biomarkers for CRPS diagnosis.
- EP300, CREBBP, STAT3, and STAT5 are implicated as important genes in CRPS pathogenesis.

