ArticleArchives of dermatological research2024
Bioinformatics analysis reveals potential crosstalk genes and molecular mechanisms between ulcerative colitis and psoriasis.
Article in Archives of dermatological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- CLDN8 and ABCA12 define a shared molecular signature in ulcerative colitis-psoriasis comorbidity.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Ulcerative colitis (UC) and psoriasis are highly correlated clinically; however, it is unclear whether they have a common pathophysiological mechanism. The purpose of this study is to investigate the important molecules and pathways that mediate the coexistence of UC and psoriasis through quantitative bioinformatics analysis of public RNA-sequencing databases. The UC (GSE38713) and psoriasis (GSE30999) datasets were downloaded from the Gene Expression Omnibus database. Differentially expressed genes were analysed using the "limma" package and their biological functions were investigated using Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes. The Search Tool for the Retrieval of Interacting Genes database was used to create the protein-protein interaction (PPI) network, which was visualised by Cytoscape. The CytoHubba plugin was used to select the hub genes. The hub genes of psoriasis and UC were verified in GSE75214, GSE78097, GSE14905, and GSE87466. The predicted value of the hub gene was evaluated by the receiver operating characteristic curve (ROC). Gene Set Enrichment Analysis (GSEA) and immune infiltration were performed for the hub genes. Finally, we performed transcription factor (TF)-gene interaction network analysis, TF-miRNA co-regulation network analysis and candidate drug prediction. A total of 114 genes (89 ascending genes and 25 descending genes) with similar expression trends between UC and psoriasis were identified. Enrichment analysis revealed that the two signaling pathways were primarily related to immune and inflammatory responses. PPI network screened 13 hub genes (IL-1B, CXCL10, TLR2, CD274, CXCR2, CXCL9, MMP9, CXCL1, CASP1, IL-7R, IL-1RN, CCL18 and LCN2). Using NetworkAnalyst, we constructed a co-regulatory network diagram of TF-gene and TF-miRNA. Finally, diacerein was predicted to be effective in the treatment of UC and psoriasis. Our research revealed the common pathogenesis of UC and psoriasis, and examined the hub genes, TF and miRNA and potential therapeutic drugs (diacerein). These findings may provide new perspectives for further mechanism research and clinical treatment.
Indexed as
Identifiers
39673621What Socratic holds
Registered trials
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 Socratic graph.