Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37753698", "kind": "science-record", "revision": 4, "content_hash": "sha256:6081c76c5493b78840955c27f56cfd7709018be7faa7f2f47a4b8cfcce4aa1a4", "created_at": "2026-11-01T19:02:36Z", "updated_at": "2026-11-01T22:10:21Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis.", "doi": "10.1111/srt.13457", "pmid": "37753698", "authors": ["Ningyi Xian", "Ruimin Bai", "Jiaqi Guo", "Ruiting Luo", "Hao Lei", "Bingqing Wang", "Yan Zheng"], "journal": "Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)", "year": 2023, "abstract": "PURPOSE: An increasing amount of evidence suggests that psoriasis and nonalcoholic steatohepatitis (NASH) may occur simultaneously, whereas the underlying mechanisms remain unclear. Our research aims to explore the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis.\nMATERIALS AND METHODS: The expression profiles of psoriasis (GSE30999, GSE13355) and NASH (GSE24807, GSE17470) were downloaded from GEO datasets. Next, common differently expressed genes (DEGs) of psoriasis and NASH were investigated. Then, GO and KEGG enrichment, protein interaction network (PPI) construction, and hub gene identification for DEGs were performed. Finally, immune cells expression, target genes predicted by common miRNAs, and transcription factors interaction analysis for hub genes were carried out.\nRESULTS: Twenty DEGs were identified in totally. GO analysis revealed response to the virus was the most enriched term, and hepatitis C and coronavirus disease-COVID-19 infection-associated pathways were mainly enriched in KEGG. A total of eight hub genes were collected, including IFIT1, IFIT3, OAS1, HPGDS, IFI27, IFI44, CXCL10, IRF9, and 11 TFs were predicted. Then, neutrophils and monocytes were identified as immune cells that express the most hub genes. Moreover, five common miRNAs for psoriasis and NASH and one common miRNAs (hsa-miR-1305)-mRNAs (CHL1, MBNL2) network were presented.\nCONCLUSION: CHL1 and MBNL2 may participate in the process of psoriasis and NASH via regulating hsa-miR-1305, and together with eight hub genes may be potential therapeutic targets for future treatment for the co-occurrence of these two diseases. This comprehensive bioinformatic analysis provides new insights on molecular pathogenesis and identification of potential therapeutic targets for the co-occurrence of them.", "claims": [{"id": "claim-method", "statement": "GEO2R online was used to identify DEGs. When multiple probes corresponded to a single gene symbol, the first probe was selected. When some probes did not correspond to any gene symbol, they were removed. The criteria of DEGs are |logFC (fold change)|≥1 and adjusted p‐value < 0.05.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37753698", "locator": "sections[4] \"Identification of DEGs\" paragraph 2", "quote": "GEO2R online was used to identify DEGs. When multiple probes corresponded to a single gene symbol, the first probe was selected. When some probes did not correspond to any gene symbol, they were removed. The criteria of DEGs are |logFC (fold change)|≥1 and adjusted p‐value < 0.05."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data sharing is not applicable to this article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37753698", "locator": "sections[27] \"DATA AVAILABILITY STATEMENT\" paragraph 2", "quote": "Data sharing is not applicable to this article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "GEO2R analysis of four GEO expression-profile datasets identified 20 common DEGs between psoriasis and NASH.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37753698", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Twenty DEGs were identified in totally."}, {"asset": "source:pmid:37753698", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "The expression profiles of psoriasis (GSE30999, GSE13355) and NASH (GSE24807, GSE17470) were downloaded from GEO datasets."}, {"asset": "source:pmid:37753698", "locator": "sections[4] \"Identification of DEGs\" paragraph 2", "quote": "GEO2R online was used to identify DEGs."}, {"asset": "source:pmid:37753698", "locator": "sections[13] \"Identification of common DEGs\" paragraph 2", "quote": "There were 3002 DEGs obtained in GSE30999, 936 in GSE13355, 2679 in GSE24807 and 1436 in GSE17470 (Figure 2A–D)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "GEO2R analysis of four GEO expression-profile datasets identified 20 common DEGs between psoriasis and NASH.", "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:37753698"], "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:GSE13355"], "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:GSE13355"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37753698", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1111/srt.13457", "sha256": 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The criteria of DEGs are |logFC (fold change)|≥1 and adjusted p‐value < 0.05."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: ppi_network."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE30999", "GSE13355", "GSE24807", "GSE17470", "GSE31037", "GSE33857"], "resolved_accessions": ["GSE30999", "GSE13355", "GSE24807", "GSE17470", "GSE31037", "GSE33857"], "statements": ["Data sharing is not applicable to this article."], "basis": "The paper names GSE30999, GSE13355, GSE24807, GSE17470, GSE31037, GSE33857 in GEO and the accession resolves in the repository. 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