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Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
Zeinab Darvish1, Saeed Ghanbari1, Saeid Afshar2
1Department of Biostatistics and Epidemiology, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Cell Journal
|July 12, 2023
Summary
This study identified key genes like SIGLEC8 and IL5RA as potential biomarkers for psoriasis, an immune-mediated skin disease. These findings may lead to new diagnostic tools and therapies for psoriasis patients.
Area of Science:
- Immunology
- Genetics
- Dermatology
Background:
- Psoriasis is an immune-mediated skin disease with unknown causes.
- Identifying reliable biomarkers is crucial for diagnosis and treatment.
Purpose of the Study:
- To discover potential biomarkers for psoriasis using gene expression data.
- To identify hub genes associated with the disease through network analysis.
Main Methods:
- Weighted gene co-expression network analysis (WGCNA) was applied to gene chip data (GSE55201) from psoriasis patients and healthy controls.
- Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed for functional enrichment.
- Hub genes were identified based on connectivity and association with disease-related modules.
Main Results:
- Eleven gene co-expression modules were identified, with the green-yellow module significantly associated with psoriasis (P<0.001).
- Candidate hub genes, including SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33, were identified.
- These hub genes showed significant connectivity and association with the disease module.
Conclusions:
- The identified hub genes play a role in immune response regulation.
- SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33 are potential diagnostic biomarkers for psoriasis.
- These genes represent promising therapeutic targets for psoriasis treatment.
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