ArticleArchives of dermatological research2025
Non-coding RNAs (miRNAs - circRNAs - lncRNAs) and genes interact with the regulation of vitiligo.
Article in Archives of dermatological research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Epigenetic Therapies for Inflammatory and Immune-Mediated Skin Diseases.Biomedicines · 2026Review
- Epigenetic regulatory mechanisms of autoimmune skin diseases: novel biomarkers and therapeutic prospects.Clinical epigenetics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vitiligo is a chronic skin disorder characterized by the loss of melanocytes, resulting in depigmented patches on the skin. The molecular mechanisms underlying vitiligo remain incompletely understood, with recent studies highlighting the role of non-coding RNAs in disease pathogenesis. To identify and analyze the roles of miRNAs, (circular RNAs) circRNAs, and (long non-coding RNAs) lncRNAs in the pathogenesis of vitiligo, focusing on their interactions with key coding genes and pathways. We utilized Microarray data from the GSE65127 and GSE75819 datasets in the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) related to Vitiligo. The analysis was conducted using GEO2R for identifying upregulated and downregulated genes. Protein-protein interaction (PPI) networks were constructed using STRING and further analyzed with Cytoscape and CytoHubba. Gene Ontology (GO), disease pathways, Disease gene associations, and phenotypes are determined by many online software. miRNAs and cirRNas, lncRNAs were predicted using bioinformatics tools. The constructed network identified AKT1 as a central hub, hsa-miR-140-3p assumes a critical role by interacting with both AKT1 and CTSD, while circRNAs such as hsa_circ_0020776, hsa_circ_0033552, and hsa_circ_0020773 significantly modulate these interactions. Also, hsa-miR-921 is highly effective in binding to AKT1, as well as to hsa_circ_0033546 and hsa_circ_0033547. lncRNAs, including AFAP1-AS1 and MALAT1, contribute to the network by establishing connections with the mRNA of target genes. we determined two genes, two miRNAs, and 5 circRNAs may serve as potential biomarkers or therapeutic targets for vitiligo.
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Registered trials
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