Meta-Analysis of Gene Expression Reveals the Core Transcriptomic Profile of Lesional Scalp in Alopecia Areata.

ABSTRACT:

Introduction

Alopecia areata (AA) is an immune-mediated inflammatory skin disease that targets hair follicles. Current research yields varied lists of differentially expressed genes (DEGs). A meta-analytic approach is essential to consolidate these findings into a consistent tissue signature. This study aimed to perform a meta-analysis of gene expression datasets to establish a comprehensive molecular signature of AA lesional scalp.

Methods

We conducted a meta-analysis of transcriptomic data from human studies on lesional skin gene expression in AA. Reanalyzing 132 samples (82 patients with AA and 50 controls) from five Gene Expression Omnibus (GEO) datasets (GSE68801, GSE45512, GSE80342, GSE58573, GSE74761), we employed an effect size approach within a random-effects model

SUBMITTER: Rivera-Ruiz I 

PROVIDER: S-EPMC12454715 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature