Evidence map›Paper›PMID 40856249›Full record

ArticleJournal of cosmetic dermatology2025

Identification of Proteomic Biomarkers and Therapeutic Targets for Vitiligo Using a Two-Sample Proteome-Wide Mendelian Randomization Approach.

Linli Liu, Lingli Deng, Xingyu Pan, Jin Chen, Chunshui Yu

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Linli LiuDepartment of Dermatology, Suining Central Hospital, Suining, Sichuan, China.ORCID https://orcid.org/0000-0002-7563-3895
Lingli DengDepartment of Dermatology, Suining Central Hospital, Suining, Sichuan, China.
Xingyu PanDepartment of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jin ChenDepartment of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chunshui YuDepartment of Dermatology, Suining Central Hospital, Suining, Sichuan, China.

Funding

Chongqing Science and Technology Commission 2023NSCQ-MSX0321National Natural Science Foundation of China 82073462Sichuan Medical Youth Innovation Research Project Q23014Suining Health Science and Technology Project 24CJDFB07
6 · The paper itself

Abstract

backgroundVitiligo is a chronic autoimmune disorder characterized by melanocyte loss and depigmented skin patches. Effective treatment options are limited, and therapeutic progress has been hindered by incomplete understanding of its precise pathogenic mechanisms. We aimed to identify candidate protein biomarkers and therapeutic targets for vitiligo by integrating large-scale proteomics and genomic data using Mendelian randomization (MR).

methodsUsing two-sample MR analysis, we leveraged genome-wide association study (GWAS) data for vitiligo (131 cases and 207 482 controls of European descent) and proteomic data comprising 4907 plasma proteins from the Decode cohort (35 559 participants). Causal relationships between genetically predicted plasma protein levels and vitiligo risk were evaluated through five complementary MR methods, along with enrichment analyses to explore their biological implications. Further validation was conducted via independent transcriptomic datasets, single-cell RNA sequencing, and molecular docking analysis to identify potential therapeutic compounds.

resultsWe identified seven proteins (HEPHL1, PRDX1, DEFA1, CSGALNACT2, HERC4, NDC80, and SPHK2) causally associated with vitiligo risk. Notably, HERC4 and NDC80 exhibited robust expression in vitiligo lesions across validation datasets. Functional enrichment analysis implicated these proteins in oxidative stress regulation, immune modulation, and cellular signaling pathways. Molecular docking analyses further highlighted potential therapeutic agents, including zoledronic acid and gramine.

conclusionsOur integrative MR analysis identified novel protein biomarkers and promising therapeutic targets for vitiligo, particularly HERC4 and NDC80. These findings offer potential opportunities for improved diagnosis and the development of targeted therapies, advancing precision medicine approaches for vitiligo management.

Indexed as

VitiligoBiomarkersGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisProteomeProteomicsBiomarkersProteomemolecular dockingproteome‐wide analysistwo‐sample Mendelian randomization analysisvitiligo

Identifiers

PMID40856249
PMCPMC12379178

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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.