Evidence map›Paper›PMID 39894670›Full record

ArticleAnnals of dermatology2025

Identification of a Novel Three-immunogene Diagnostic Signature for Alopecia Areata.

Xiuwen Chen, Wenzi Liang, Changmin Lin, Yike Lin

Abstract read
In one paragraph

Article in Annals of 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

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

4 authors.

Xiuwen ChenDepartment of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.ORCID https://orcid.org/0000-0001-5789-2060
Wenzi LiangDepartment of Histology and Embryology, Shantou University Medical College, Shantou, China.ORCID https://orcid.org/0000-0003-4013-1374
Changmin LinDepartment of Histology and Embryology, Shantou University Medical College, Shantou, China.ORCID https://orcid.org/0009-0000-9248-1443
Yike LinDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, China. 397223137@qq.com.ORCID https://orcid.org/0009-0004-7258-6060

Funding

National Natural Science Foundation of China 81972957Shantou Science and Technology Project 230511186499068
6 · The paper itself

Abstract

backgroundAutoimmune mechanisms have important roles in the pathogenesis of alopecia areata (AA).

objectiveThis study aimed to evaluate the exact biological and clinical importance of immunogenes in AA patients using bioinformatic methods.

methodsFive AA scalp gene expression profiles were obtained from the Gene Expression Omnibus database. Differentially-expressed genes (DEGs) between AA and control groups were identified. An immune-related gene diagnostic signature (IRGDS) was established by protein-protein interaction network analysis, least absolute shrinkage and selection operator and logistic regression analysis.

resultsA total of 102 immune-related DEGs were identified. We developed an IRGDS composed of CD8A, CSF1R and CXCL10 for AA molecular pathological assessment and diagnosis (area under the receiver operating characteristic curve [AUC]=0.962). We also validated the diagnostic value of the IRGDS in an external cohort (AUC=0.955). Patients with high IRGDS scores presented with a higher abundance of immune cell infiltration and expression of genes associated with immune recruitment and immune activation, suggesting adverse biological alterations.

conclusionIn our study, an IRGDS model with accurately diagnostic capacity for AA was established, and biological alterations were deciphered in AA. The IRGDS may be used as an auxiliary diagnostic marker for AA.

Indexed as

Alopecia areataBioinformaticsDatabaseGeneticsImmunity

Identifiers

PMID39894670
PMCPMC11791023

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