Clinical, cosmetic and investigational dermatology · 2026
Microarray Data Analysis of Gene Crosstalk Between Psoriasis and Non-Alcoholic Fatty Liver Disease.
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Tan Ye, Xu Chen, Xiao Yi, Song Wenjing, Zhang Yibo, Yang Zhihan, Chen Aidong, Wu Qiwen
Аннотация
BACKGROUND: Numerous studies both domestically and internationally have indicated a potential close association between psoriasis and non-alcoholic fatty liver disease (NAFLD), yet the precise mechanism underlying this association remains incompletely elucidated.
METHODS: Microarray datasets were retrieved from the GEO database, and differentially expressed genes (DEGs) were identified using the GEO2R tool. Functional system analysis was conducted utilizing clusterProfiler, STRING, Cytoscape, and cytoHubba.
RESULTS: This study identified a total of 49 commonly differentially expressed genes, including 10 upregulated genes and 39 downregulated genes. Protein-protein interaction(PPI) network analysis identified 15 hub genes, and GeneMANIA analysis showed that they were mainly enriched in co-expression (75.18%).
CONCLUSION: The study reveals the comorbid molecular mechanism of psoriasis and NAFLD from the perspectives of gene expression, functional pathways, and transcriptional regulation, providing a new direction for the development of cross-disease therapeutic targets.
METHODS: Microarray datasets were retrieved from the GEO database, and differentially expressed genes (DEGs) were identified using the GEO2R tool. Functional system analysis was conducted utilizing clusterProfiler, STRING, Cytoscape, and cytoHubba.
RESULTS: This study identified a total of 49 commonly differentially expressed genes, including 10 upregulated genes and 39 downregulated genes. Protein-protein interaction(PPI) network analysis identified 15 hub genes, and GeneMANIA analysis showed that they were mainly enriched in co-expression (75.18%).
CONCLUSION: The study reveals the comorbid molecular mechanism of psoriasis and NAFLD from the perspectives of gene expression, functional pathways, and transcriptional regulation, providing a new direction for the development of cross-disease therapeutic targets.