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

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41426252", "kind": "science-record", "revision": 4, "content_hash": "sha256:abf7a550850ed39d2286f7df1add1e43b3b6178d90ed107873c4997a873abd63", "created_at": "2026-11-01T20:31:25Z", "updated_at": "2026-11-01T22:57:38Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "To Explore the Mechanism of Cuproptosis in Psoriasis Based on Bioinformatics and in vivo Experiments.", "doi": "10.2147/JIR.S569453", "pmid": "41426252", "authors": ["Yingying Ma", "Ying Sun", "Jintong Yao", "Jian Zhang", "Hailiang Wang", "Suqing Yang"], "journal": "Journal of inflammation research", "year": 2025, "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.\nMaterial 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.\nResults: 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.\nConclusion: 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.", "claims": [{"id": "claim-method", "statement": "Using the limma package of R software (version 4.4.1) to screen the DEGs of GSE161683 and GSE166388. Construct a design matrix based on sample grouping, fit the expression data using lmFit(), and perform empirical Bayesian correction using eBayes; The screening of significantly different genes applies a dual threshold, with an adjusted p-value <0.05 and an absolute log2 fold change (|logFC|) > 1;", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41426252", "locator": "sections[5] \"Differential Expression Gene (DEG) Analysis\" paragraph 2", "quote": "Using the limma package of R software (version 4.4.1) to screen the DEGs of GSE161683 and GSE166388. Construct a design matrix based on sample grouping, fit the expression data using lmFit(), and perform empirical Bayesian correction using eBayes; The screening of significantly different genes applies a dual threshold, with an adjusted p-value <0.05 and an absolute log2 fold change (|logFC|) > 1;"}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data generated or analyzed during this study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41426252", "locator": "sections[37] \"Data Sharing Statement\" paragraph 2", "quote": "All data generated or analyzed during this study are available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "APOL6, CD274, and LIAS were screened as cuprotosis markers in psoriasis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41426252", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "APOL6, CD274, and LIAS were screened as cuprotosis markers in psoriasis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "APOL6, CD274, and LIAS were screened as cuprotosis markers in psoriasis.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:41426252"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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Subsequently, a mouse model of psoriasis induced by imiquimod (IMQ) was", "learning, and ROC analysis. Subsequently, a mouse model of psoriasis induced by imiquimod (IMQ", "According to the random number table method, mice were divided into Sham group (5 mice) and psorias"], "order_basis": "paper_text_order:36", "id": "assay:1"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["xidative stress factors were validated using qPCR, Western blot, immunohistochemistry, fluores"], "order_basis": "paper_text_order:933", "id": "assay:2"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["ve stress factors were validated using qPCR, Western blot, immunohistochemistry, fluorescence, and ELI"], "order_basis": "paper_text_order:939", "id": "assay:3"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["ors were validated using qPCR, Western blot, immunohistochemistry, fluorescence, and ELISA. Results: Thirty-fo"], "order_basis": "paper_text_order:953", "id": "assay:4"}, {"role": "data_generation", "definition_id": "elisa", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["lot, immunohistochemistry, fluorescence, and ELISA. Results: Thirty-four PDCRGs were identified"], "order_basis": "paper_text_order:993", "id": "assay:5"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Using the limma package of R software (version 4.4.1) to screen the DEGs of GSE161683 and GSE166388. 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