ArticleBioengineered2021
Identification of TYR, TYRP1, DCT and LARP7 as related biomarkers and immune infiltration characteristics of vitiligo via comprehensive strategies.
Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 36 citations in OpenAlex.
- Immune Infiltration and Mitochondrial Function in Diabetic Kidney Disease: WGCNA and Machine Learning Identified Hub Genes with Clinical Validation.International journal of molecular sciences · 2026Article
- Melanocyte loss dominates the vitiligo transcriptome: a rank-based meta-analysis.medRxiv : the preprint server for health sciences · 2026Article
- A transcriptome-based tool for assessing skin aging reveals the ameliorative effect of stem cell-derived extracellular vesicles on UVB-induced aging.BMC genomics · 2026Article
- ATF3 and HNF4A: an oxidative phosphorylation and cholesterol homeostasis-associated diagnostic and therapeutic repurposing framework target for metabolic dysfunction-associated steatohepatitis patients.Frontiers in medicine · 2026Article
- Deciphering MMRN1 diagnostic and therapeutic implications in the substantia nigra of Parkinson's disease patients via integrative bioinformatic analysis and multi-omics studies.Frontiers in aging neuroscience · 2026Article
- Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.Molecular medicine reports · 2025Article
- Identification of DNA damage response and crotonylation-related biomarkers for lung adenocarcinoma via machine learning and WGCNA.Clinical and experimental medicine · 2025Article
- Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy.Scientific reports · 2025Article
- Comprehensive investigation of matrix metalloproteinases in skin cutaneous melanoma: diagnostic, prognostic, and therapeutic insights.Scientific reports · 2025Article
- An immune infiltration-based risk scoring system for prognostic stratification in colorectal adenocarcinoma.Ecancermedicalscience · 2025Article
- Bioinformatics Analysis of Oxidative Stress-Related Genes and Immune Infiltration Patterns in Vitiligo.Clinical, cosmetic and investigational dermatology · 2025Article
- Identification and validation of key biomarkers associated with immune and oxidative stress for preeclampsia by WGCNA and machine learning.Frontiers in genetics · 2025Article
- Dissecting and validation the biomarker of heart failure progression in patients with atherosclerosis by single-cell sequencing, bioinformatics, and machine learning.Frontiers in genetics · 2025Article
- Genome-wide association study of genetic markers of coat color patterns in Sumatran native cattle.Veterinary world · 2024Article
- Precision Dermatology: A Review of Molecular Biomarkers and Personalized Therapies.Current issues in molecular biology · 2024Review
- Decreased TLR7 expression was associated with airway eosinophilic inflammation and lung function in asthma: evidence from machine learning approaches and experimental validation.European journal of medical research · 2024Article
- Potential mechanisms and drug prediction of Rheumatoid Arthritis and primary Sjögren's Syndrome: A public databases-based study.PloS one · 2024Article
- Identification of Upregulating Genes, Transcription Factors, and miRNAs in Vitiligo. In silico Study.Clinical, cosmetic and investigational dermatology · 2024Article
- Identification and Validation of PTGS2 Gene as an Oxidative Stress-Related Biomarker for Arteriovenous Fistula Failure.Antioxidants (Basel, Switzerland) · 2023Article
- Vitiligo, from Pathogenesis to Therapeutic Advances: State of the Art.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to explore biomarkers associated with vitiligo and analyze the pathological role of immune cell infiltration in the disease. We used the robust rank aggregation (RRA) method to integrate three vitiligo data sets downloaded from gene expression omnibus database, identify the differentially expressed genes (DEGs) and analyze the functional correlation. Then, the comprehensive strategy of combined weighted gene coexpression network analysis (WGCNA) and logical regression of the selection operator (LASSO), support vector machine recursive feature elimination (SVM-RFE), and random forest (RF) machine learning algorithm are employed to screen and biomarkers associated with vitiligo. Finally, the immune cell infiltration of vitiligo was evaluated by CIBERSORT, and the correlation between biomarkers and infiltrating immune cells was analyzed. Herein, we identified 131 robust DEGs, and enrichment analysis results showed that robust DEGs and melanogenesis were closely associated with vitiligo development and progression. TYR, TYRP1, DCT and LARP7 were identified as vitiligo-related biomarkers. Immune infiltration analysis demonstrated that CD4 T Cell, CD8 T Cell, Tregs, NK cells, dendritic cells, and macrophages were involved in vitiligo's pathogenesis. In summary, we adopted a comprehensive strategy to screen biomarkers related to vitiligo and explore the critical role of immune cell infiltration in vitiligo.
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Registered trials
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