111536
论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
- 3.4 Breast Cancer (Dove Med Press)
- 3.2 Clin Epidemiol
- 2.6 Cancer Manag Res
- 2.9 Infect Drug Resist
- 3.7 Clin Interv Aging
- 5.1 Drug Des Dev Ther
- 3.1 Int J Chronic Obstr
- 6.6 Int J Nanomed
- 2.6 Int J Women's Health
- 2.9 Neuropsych Dis Treat
- 2.8 OncoTargets Ther
- 2.0 Patient Prefer Adher
- 2.2 Ther Clin Risk Manag
- 2.5 J Pain Res
- 3.0 Diabet Metab Synd Ob
- 3.2 Psychol Res Behav Ma
- 3.4 Nat Sci Sleep
- 1.8 Pharmgenomics Pers Med
- 2.0 Risk Manag Healthc Policy
- 4.1 J Inflamm Res
- 2.0 Int J Gen Med
- 3.4 J Hepatocell Carcinoma
- 3.0 J Asthma Allergy
- 2.2 Clin Cosmet Investig Dermatol
- 2.4 J Multidiscip Healthc
已发表论文
基于生物信息学和体内实验探究银屑病中铜死亡的机制
Authors Ma Y, Sun Y, Yao J, Zhang J, Wang H, Yang S
Received 2 October 2025
Accepted for publication 6 November 2025
Published 13 December 2025 Volume 2025:18 Pages 17433—17456
DOI https://doi.org/10.2147/JIR.S569453
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Anish R. Maskey
Yingying Ma,1,* Ying Sun,2 Jintong Yao,3 Jian Zhang,4,* Hailiang Wang,2 Suqing Yang5
1Department of First Clinical Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, People’s Republic of China; 2Department of Dermatology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, Changchun, People’s Republic of China; 3Department of Internal Medicine, Northeast Electric Power University, Jilin, Jilin, People’s Republic of China; 4Department of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, People’s Republic of China; 5Department of Dermatology, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Suqing Yang, Department of Dermatology, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, No. 24, Heping Road, Harbin, Heilongjiang, 10054, People’s Republic of China, Email ysq_6410@163.com
Purpose: To explore the mechanism of cuprotosis in psoriasis, screen cuprotosis related genes (PDCRGs) in psoriasis, and provide new targets for precise diagnosis and treatment of psoriasis.
Material and Methods: Integrate bioinformatics analysis and experimental validation. Firstly, based on the GEO database (GSE161683, GSE166388, GSE277173), differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) in psoriasis were screened; Identification of differential cuprotosis related genes (PDCRGs) in psoriasis using a self built cuprotosis gene database (1098 CRGs); Screen key PDCRGs through PPI network, machine learning, and ROC analysis. Subsequently, a mouse model of psoriasis induced by imiquimod (IMQ) was constructed, and gene expression, copper ion levels, inflammatory factors, and oxidative stress factors were validated using qPCR, Western blot, immunohistochemistry, fluorescence, and ELISA.
Results: Thirty-four PDCRGs were identified, among which STAT1, DLD, GBP1, CXCL10, PDHB, and LIAS are Hub genes. Machine learning and ROC analysis further identified APOL6, CD274, and LIAS as key diagnostic biomarkers. PDCRGs are significantly enriched in the TCA cycle, copper ion transport, and glucose metabolism pathways. The levels of FDX1 and serum copper ions were increased in the skin lesions of psoriasis mice, accompanied by upregulation of TCA cycle key proteins and PDCRGs expression; Copper overload triggers oxidative stress and inflammation cascade.
Conclusion: APOL6, CD274, and LIAS were screened as cuprotosis markers in psoriasis. Overexpression of these PDCRGs in psoriasis model mice can promote copper ion accumulation and interfere with the TCA cycle, increase oxidative stress and inflammation levels, and ultimately lead to the occurrence of psoriasis. Therefore, targeted intervention of cuprotosis is of great significance for the clinical treatment of psoriasis.
Keywords: psoriasis, cuprotosis, immune inflammation, oxidative stress, bioinformatics
1Department of First Clinical Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, People’s Republic of China; 2Department of Dermatology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, Changchun, People’s Republic of China; 3Department of Internal Medicine, Northeast Electric Power University, Jilin, Jilin, People’s Republic of China; 4Department of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, People’s Republic of China; 5Department of Dermatology, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Suqing Yang, Department of Dermatology, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, No. 24, Heping Road, Harbin, Heilongjiang, 10054, People’s Republic of China, Email ysq_6410@163.com
Purpose: To explore the mechanism of cuprotosis in psoriasis, screen cuprotosis related genes (PDCRGs) in psoriasis, and provide new targets for precise diagnosis and treatment of psoriasis.
Material and Methods: Integrate bioinformatics analysis and experimental validation. Firstly, based on the GEO database (GSE161683, GSE166388, GSE277173), differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) in psoriasis were screened; Identification of differential cuprotosis related genes (PDCRGs) in psoriasis using a self built cuprotosis gene database (1098 CRGs); Screen key PDCRGs through PPI network, machine learning, and ROC analysis. Subsequently, a mouse model of psoriasis induced by imiquimod (IMQ) was constructed, and gene expression, copper ion levels, inflammatory factors, and oxidative stress factors were validated using qPCR, Western blot, immunohistochemistry, fluorescence, and ELISA.
Results: Thirty-four PDCRGs were identified, among which STAT1, DLD, GBP1, CXCL10, PDHB, and LIAS are Hub genes. Machine learning and ROC analysis further identified APOL6, CD274, and LIAS as key diagnostic biomarkers. PDCRGs are significantly enriched in the TCA cycle, copper ion transport, and glucose metabolism pathways. The levels of FDX1 and serum copper ions were increased in the skin lesions of psoriasis mice, accompanied by upregulation of TCA cycle key proteins and PDCRGs expression; Copper overload triggers oxidative stress and inflammation cascade.
Conclusion: APOL6, CD274, and LIAS were screened as cuprotosis markers in psoriasis. Overexpression of these PDCRGs in psoriasis model mice can promote copper ion accumulation and interfere with the TCA cycle, increase oxidative stress and inflammation levels, and ultimately lead to the occurrence of psoriasis. Therefore, targeted intervention of cuprotosis is of great significance for the clinical treatment of psoriasis.
Keywords: psoriasis, cuprotosis, immune inflammation, oxidative stress, bioinformatics