Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37434459", "kind": "science-record", "revision": 3, "content_hash": "sha256:78ec9fb6f959a83e1b58be42e63284a467ef469f9fc11410493c0f28d79a6add", "created_at": "2026-11-01T19:02:12Z", "updated_at": "2026-11-01T21:31:09Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis.", "doi": "10.22074/cellj.2023.1982769.1191", "pmid": "37434459", "authors": ["Zeinab Darvish", "Saeed Ghanbari", "Saeid Afshar", "Leili Tapak", "Payam Amini"], "journal": "Cell journal", "year": 2023, "abstract": "OBJECTIVE: Psoriasis, an immune-mediated disorder, is a multifactorial disease with unidentified cause(s). This study aimed to discover possible biomarkers of this papulosquamous skin disease.\nMATERIALS AND METHODS: The gene chip GSE55201, resulted from an experimental study, including 44 Psoriasis patients and 30 healthy controls was downloaded from GEO and weighted gene co-expression network analysis was utilized to identify hub genes. Key modules were determined using the module eigenvalues. We used biological functions (BFs), cellular components, and molecular functions in the Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis in the gene metabolic pathway were used for enrichment analysis.\nRESULTS: Adjacency matrix was built by using power adjacency function and the power to turn the correlation to adjacency matrix was four with a topology fit index of 0.92. Using the weighted gene co-expression network analysis, 11 modules were identified. The green-yellow module eigenvalues were significantly associated with Psoriasis (Pearson correlation=0.53, P<0.001). Candidate hub genes were determined by their higher connectivity and relationship with module eigenvalue. The genes including SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33 were recorded as the hub genes.\nCONCLUSION: We can conclude that SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33 have an important role in the immune response regulation and they could be considered as a potential diagnostic biomarker and therapeutic target for Psoriasis.", "claims": [{"id": "claim-method", "statement": "Pearson correlation test was used to assess association between genes and MEs of modules in this study.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37434459", "locator": "sections[13] \"Evaluation of the key genes in green-yellow module\" paragraph 2", "quote": "Pearson correlation test was used to assess association between genes and MEs of modules in this study."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Using publicly available dataset of Psoriasis from an experimental type of study, blood transcriptome dataset [available in GEO repository: GSE55201 dataset generated using the Affymetrix U133 Plus (microarray) with platform ID GPL570] was investigated. This dataset consisted of expression data of 30 healthy controls and 44 Psoriasis patients at baseline and 7 Psoriasis patients after two weeks of treatment (13).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37434459", "locator": "sections[3] \"Data source and preprocessing\" paragraph 2", "quote": "Using publicly available dataset of Psoriasis from an experimental type of study, blood transcriptome dataset [available in GEO repository: GSE55201 dataset generated using the Affymetrix U133 Plus (microarray) with platform ID GPL570] was investigated. This dataset consisted of expression data of 30 healthy controls and 44 Psoriasis patients at baseline and 7 Psoriasis patients after two weeks of treatment (13)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The green-yellow module eigenvalues were significantly associated with Psoriasis (Pearson correlation=0.53, P<0.001).", "kind": "quantitative", "target": {"value": 0.001, "unit": "p-value", "tolerance": null, "source": "The green-yellow module eigenvalues were significantly associated with Psoriasis (Pearson correlation=0.53, P<0.001)."}, "evidence": [{"asset": "source:pmid:37434459", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "The green-yellow module eigenvalues were significantly associated with Psoriasis (Pearson correlation=0.53, P<0.001)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The green-yellow module eigenvalues were significantly associated with Psoriasis (Pearson correlation=0.53, P<0.001).", "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:37434459"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE41662"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE41662"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37434459", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.22074/cellj.2023.1982769.1191", "sha256": "sha256:575a01b49772252f33c7a269aa58705e8ec19fd89bea6287243e148ce38eaba6", "bytes": 37530, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.22074/cellj.2023.1982769.1191", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10331440", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE41662", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41662", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE41662", "version": null, "note": "Using publicly available dataset of Psoriasis from an experimental type of study, blood transcriptome dataset [available in GEO repository: GSE55201 dataset generated using the Affymetrix U133 Plus (microarray) with platform ID GPL570] was investigated. 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