Evidence map›Paper›PMID 41376639›Full record

ArticleFrontiers in immunology2025

Association between SQSTM1 dysregulation and risk in alopecia areata: a Mendelian randomization study.

Lifang Hu, Sheng Wan, Xiuzu Song

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 authors.

Lifang Hu *Department of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.
Sheng Wan *Department of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.
Xiuzu SongDepartment of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alopecia areata (AA) is an autoimmune disease typified by nonscarring hair loss. It manifests as a heterogeneous disorder with diverse clinical presentations and variable treatment responses, underscoring the significance of identifying novel biomarkers for precision management. Objective: This study aims to explore the relationship between metabolic reprogramming-related genes (MRRGs) and the risk of developing AA. Methods: MRRGs were identified through the GeneCards database and existing literature. Genetic instruments were obtained from the eQTLGen database, and AA-related data were retrieved from the OpenGWAS database. The TwoSampleMR R package was applied for statistical analysis. Additionally, RT-qPCR and immunofluorescence assays were performed to validate the expression of target genes in AA-affected hair follicles and healthy controls. Results: Six MRRGs (DLD, NFE2L2, SDHB, SLC2A1, PSAT1, and SQSTM1) showed significant causal associations with AA. RT-qPCR analysis revealed markedly elevated SQSTM1 mRNA levels in AA-affected hair follicles compared with healthy controls. Immunofluorescence confirmed increased SQSTM1 protein accumulation alongside reduced LC3B-II expression in AA-affected hair follicles. Conclusions: This study underscores the significant association between SQSTM1 and AA, advancing our understanding of AA pathophysiology.

Indexed as

Alopecia AreataGenetic Predisposition to DiseaseSequestosome-1 ProteinFemaleHair FollicleHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideSequestosome-1 ProteinSQSTM1 protein, humanalopecia areataautoimmunityautophagyinflammationmetabolic reprogrammingSQSTM1

Identifiers

PMID41376639
PMCPMC12685797

What Socratic holds

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Registered trials

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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 Socratic graph.