ArticleMedicine2020
Identification of key genes and pathways involved in vitiligo development based on integrated analysis.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Vitiligo Information Resource database v3.NPJ systems biology and applications · 2026Article
- Identification of Oxidative Stress-Related Shared Biomarkers in Vitiligo and Periodontitis: A Bioinformatics and Machine Learning Study.Clinical, cosmetic and investigational dermatology · 2025Article
- Role and Mechanism of Mitochondrial Ribosomal Proteins in Septic Myocardial Injury.Journal of inflammation research · 2025Article
- Exploring the Genetic Landscape of Vitiligo in the Pura Raza Español Horse: A Genomic Perspective.Animals : an open access journal from MDPI · 2024Article
- Identification of Upregulating Genes, Transcription Factors, and miRNAs in Vitiligo. In silico Study.Clinical, cosmetic and investigational dermatology · 2024Article
- ECT2 promotes the occurrence and is a prognostic biomarker of head and neck squamous cell carcinoma.Journal of Cancer · 2024Article
- A Systematic Study of Yiqi Qubai Standard Decoction for Treating Vitiligo Based on UPLC-Q-TOF/MS Combined with Chemometrics, Molecular Docking, and Cellular and Zebrafish Assays.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Article
- ncRNAs-mediated overexpression of STIL predict unfavorable prognosis and correlated with the efficacy of immunotherapy of hepatocellular carcinoma.Cancer cell international · 2023Article
- ASF1B is a Promising Prognostic Biomarker and Correlates With Immunotherapy Efficacy in Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
- Equine vitiligo-like depigmentation in grey horses is related to genes involved in immune response and tumor metastasis.BMC veterinary research · 2021Article
- Identification of ferroptosis genes in immune infiltration and prognosis in thyroid papillary carcinoma using network analysis.BMC genomics · 2021Article
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vitiligo is a chronic skin condition lack of melanocytes. However, researches on the aetiology and pathogenesis of vitiligo are still under debate. This study aimed to explore the key genes and pathways associated with occurrence and development of vitiligo.Weighted gene coexpression network analysis (WGCNA) was applied to reanalyze the gene expression dataset GSE65127 systematically. Functional enrichments of these modules were carried out at gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set variation analysis (GSVA), and gene set enrichment analysis (GSEA). Then, a map of regulatory network was delineated according to pivot analysis and drug prediction. In addition, hub genes and crucial pathways were validated by an independent dataset GSE75819. The expressions of hub genes in modules were also tested by quantitative real-time polymerase chain reaction (qRT-PCR).Eight coexpressed modules were identified by WGCNA based on 5794 differentially expressed genes of vitiligo. Three modules were found to be significantly correlated with Lesional, Peri-Lesional, and Non-Lesional, respectively. The persistent maladjusted genes included 269 upregulated genes and 82 downregulated genes. The enrichments showed module genes were implicated in immune response, p53 signaling pathway, etc. According to GSEA and GSVA, dysregulated pathways were activated incessantly from Non-Lesional to Peri-Lesional and then to Lesional, 4 of which were verified by an independent dataset GSE75819. Finally, 42 transcription factors and 228 drugs were spotted. Focusing on the persistent maladjusted genes, a map of regulatory network was delineated. Hub genes (CACTIN, DCTN1, GPR143, HADH, MRPL47, NKTR, NUF2) and transcription factors (ITGAV, SYK, PDPK1) were validated by an independent dataset GSE75819. In addition, hub genes (CACTIN, DCTN1, GPR143, MRPL47, NKTR) were also confirmed by qRT-PCR.The present study, at least, might provide an integrated and in-depth insight for exploring the underlying mechanism of vitiligo and predicting potential diagnostic biomarkers and therapeutic targets.
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