Evidence map›Paper›PMID 41426252›Full record

ArticleJournal of inflammation research2025

To Explore the Mechanism of Cuproptosis in Psoriasis Based on Bioinformatics and in vivo Experiments.

Yingying Ma, Ying Sun, Jintong Yao, Jian Zhang, Hailiang Wang, Suqing Yang

Abstract read
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Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yingying Ma *Department of First Clinical Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, People's Republic of China.
Ying SunDepartment of Dermatology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, Changchun, People's Republic of China.
Jintong YaoDepartment of Internal Medicine, Northeast Electric Power University, Jilin, Jilin, People's Republic of China.
Jian Zhang *Department of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, People's Republic of China.
Hailiang WangDepartment of Dermatology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Jilin, Changchun, People's Republic of China.
Suqing YangDepartment of Dermatology, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

bioinformaticscuprotosisimmune inflammationoxidative stresspsoriasis

Identifiers

PMID41426252
PMCPMC12714496

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.