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已发表论文
基于机器学习的银屑病铁死亡相关亚型特征分析及 CHAC1 作为诊断生物标志物的潜力
Authors Chen J, Zhan J, Zhou Y
Received 12 July 2025
Accepted for publication 15 November 2025
Published 2 December 2025 Volume 2025:18 Pages 3277—3295
DOI https://doi.org/10.2147/CCID.S553367
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Monica K. Li
Junming Chen,1,2 Jiayi Zhan,1,2 Ying Zhou1,2
1Institute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People’s Republic of China; 2The First Clinical College, Guangdong Medical University, Zhanjiang, Guangdong, People’s Republic of China
Correspondence: Ying Zhou, Institute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, 57 Renmin Avenue South, Zhanjiang, Guangdong, 524002, People’s Republic of China, Email zhouy10000@126.com; zhouy3183@gdmu.edu.cn
Purpose: Ferroptosis, a form of iron-dependent lipid peroxidation cell death. However, the mechanism of ferroptosis in psoriasis remains to be further investigated. Therefore, our research focuses on uncovering the role of ferroptosis in the pathogenesis of psoriasis and providing accurate biomarkers as therapeutic targets.
Patients and Methods: We merged differentially expressed genes (DEGs) from the gene expression omnibus (GEO) with ferroptosis-related genes from FerrDb database. Key genes were further identified using weighted gene co-expression network analysis (WGCNA) and machine learning. Additionally, we used non-negative matrix factorization (NMF) clustering to identify two ferroptosis molecular subgroups.
Results: CHAC1, PARP9 and LCN2 are identified as key ferroptosis-related genes in psoriasis. The psoriatic skin samples were divided into cluster 1 and cluster 2, with cluster 1 being the more severe subtype of psoriatic lesions. The expression of CHAC1 had the highest correlation with activated CD4 T cells, neutrophil, regulatory T cell (Tregs) and type 2 T helper cell (Th2), which were significantly enriched in cluster1.
Conclusion: In conclusion, the ferroptosis associated diagnostic gene CHAC1 exacerbates psoriasis by regulating activated CD4 T cells, neutrophil, Tregs and Th2, serving as a reliable biomarker to predict patient survival.
Keywords: molecular subgroup, bioinformatics analysis, ferroptosis-related genes, immune cell
1Institute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, People’s Republic of China; 2The First Clinical College, Guangdong Medical University, Zhanjiang, Guangdong, People’s Republic of China
Correspondence: Ying Zhou, Institute of Dermatology and Venereal Diseases, Department of Dermatology and Venereal Diseases, Affiliated Hospital of Guangdong Medical University, 57 Renmin Avenue South, Zhanjiang, Guangdong, 524002, People’s Republic of China, Email zhouy10000@126.com; zhouy3183@gdmu.edu.cn
Purpose: Ferroptosis, a form of iron-dependent lipid peroxidation cell death. However, the mechanism of ferroptosis in psoriasis remains to be further investigated. Therefore, our research focuses on uncovering the role of ferroptosis in the pathogenesis of psoriasis and providing accurate biomarkers as therapeutic targets.
Patients and Methods: We merged differentially expressed genes (DEGs) from the gene expression omnibus (GEO) with ferroptosis-related genes from FerrDb database. Key genes were further identified using weighted gene co-expression network analysis (WGCNA) and machine learning. Additionally, we used non-negative matrix factorization (NMF) clustering to identify two ferroptosis molecular subgroups.
Results: CHAC1, PARP9 and LCN2 are identified as key ferroptosis-related genes in psoriasis. The psoriatic skin samples were divided into cluster 1 and cluster 2, with cluster 1 being the more severe subtype of psoriatic lesions. The expression of CHAC1 had the highest correlation with activated CD4 T cells, neutrophil, regulatory T cell (Tregs) and type 2 T helper cell (Th2), which were significantly enriched in cluster1.
Conclusion: In conclusion, the ferroptosis associated diagnostic gene CHAC1 exacerbates psoriasis by regulating activated CD4 T cells, neutrophil, Tregs and Th2, serving as a reliable biomarker to predict patient survival.
Keywords: molecular subgroup, bioinformatics analysis, ferroptosis-related genes, immune cell