Evidence map›Paper›PMID 40452777›Full record

ArticleClinical, cosmetic and investigational dermatology2025

Evidence from a Comprehensive Bioinformatics Analysis Point to Possible Therapeutic Targets for Vitiligo.

Yingwei Wang, Tao Yao, Yunlu Lin, Jianming Wu

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yingwei Wang *Department of Dermatology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People's Republic of China.
Tao Yao *Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People's Republic of China.
Yunlu Lin *Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People's Republic of China.ORCID 0009-0005-3125-4075
Jianming WuDepartment of Dermatology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vitiligo is an autoimmune, hypopigmented dermatological disease for which the pathogenesis remains unclear. With limited therapeutic options, it has a significant treatment burden and adverse psychological effects for patients. Methods: The core method employed was Mendelian randomization (MR), which was used to assess the impact of over 2,000 plasma proteins on generalized vitiligo. To further enhance the reliability of the MR conclusions, we conducted a series of comprehensive analyses, including reverse MR, the Steiger test, colocalization analysis, and phenotype scanning. Subsequently, we employed Phenome-wide MR (PheW-MR) analysis to exclude targets associated with adverse effects and evaluated the druggability of these targets through drug gene list mapping and molecular docking. Additionally, we employed protein-protein interaction (PPI) analysis to elucidate the interactions between the target proteins and existing vitiligo treatments. Finally, pathway enrichment analysis and transcriptome-proteome correlation analysis provided further biological insight into the target proteins. Results: Following a series of comprehensive analyses, we identified three potential drug targets for the treatment of vitiligo: GZMB, FCRL3, and ULK3, each of which is associated with an increased risk of the disease. Validation across different cohorts confirmed the significance of GZMB and FCRL3. Colocalization analysis indicated that these targets share common variants with vitiligo, while PheW-MR analysis suggested that targeting these proteins would not result in significant side effects. Furthermore, molecular docking demonstrated stable binding between the target proteins and predicted drugs. The PPI network revealed that GZMB, FCRL3, and ULK3 interact with the target proteins of existing vitiligo treatments. Conclusion: Our study has identified three promising drug target proteins for the treatment of vitiligo, which merit prioritization in drug development efforts. These targets warrant further investigation to elucidate their underlying mechanisms.

Indexed as

Bayesian colocalizationdrug targetMendelian randomizationmolecular dockingprotein quantitative trait locivitiligo

Identifiers

PMID40452777
PMCPMC12126113

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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 OpenQuestion graph.