ArticleInternational journal of clinical and experimental pathology2022
Identification of key gene contributing to vitiligo by immune infiltration.
Article in International journal of clinical and experimental pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- Second Guidelines for the Diagnosis and Treatment of Vitiligo in Japan (2025).The Journal of dermatology · 2026Guideline
- Vitiligo Information Resource database v3.NPJ systems biology and applications · 2026Article
- Pathogenesis of Vitiligo: Integrating Immune and Non-Immune Cell Crosstalk.The Journal of dermatology · 2026Review
- Omalizumab treatment for chronic spontaneous urticaria coinciding with marked improvement of vitiligo: a case report.Frontiers in medicine · 2026Article
- Development of a prognostic model related to mitochondria and programmed cell death-related genes in bladder cancer.Frontiers in genetics · 2025Article
- EBNA1BP2 identified as potential prognostic biomarker for multiple tumor types in pan-cancer analysis.Discover oncology · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA deeper understanding of new prognostic and diagnostic biomarkers for vitiligo, an autoimmune disease, is needed. The purpose of this study is to identify the underlying long noncoding RNAs (lncRNAs) and immune infiltration related to the cause of vitiligo.
methodsThe microarray data (GSE75819) were available to be downloaded from NCBI-GEO. Eight hub genes were identified from the Protein-protein interaction (PPI) network by the dissection of differentially expressed genes (DEG), Kyoto Gene and Genomic Encyclopedia (KEGG) expansion pathway, and Gene Ontology (GO). Further analysis based on the immune infiltration as well as the correlation between DEGs and immune cells was performed. Our conclusions were verified by using the GSE534 eventually.
resultsAccording to our analysis, we obtained a total of 666 DEGs and 8 hub genes that include ECT2, CCT8, VRK1, UQCRH, EBNA1BP2, CRY2, IFIH1, and BCCIP, which may play an important role in vitiligo. Moreover, the immune infiltration profiles varied significantly between normal and vitiligo tissues. Compared with normal tissues, vitiligo tissues contained a greater proportion of mast cells (P<0.05). The analysis revealed that T cells regulatory (Tregs) have a negative correlation with the VRK1 expression (R=-0:77, P<0.001), whereas the mast cells resting have a positive correlation with the VRK1 expression (R=0:72, P<0.001) in vitiligo.
conclusionThe gene expression profile of vitiligo was realized by a bioinformatics method. The expressions of 8 hub genes and 22 immune cells were found, as the same as CRY2 and VRK1 have a special correlation with immune cells, which may be a significant cause of the pathogenesis of vitiligo. This provides a new idea for the diagnosis and treatment of vitiligo.
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Identifiers
35535201PMC9077110W4285740971What OpenQuestion holds
Registered trials
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