Genome-Wide MicroRNA Analysis Implicates miR-30b/d in the Etiology of Alopecia Areata

Tafazzoli, Aylar; Forstner, Andreas J.; Broadley, David; Hofmann, Andrea; Redler, Silke; Petukhova, Lynn; Giehl, Kathrin A.; Kruse, Roland; Blaumeiser, Bettina; Böhm, Markus; Bertolini, Marta; Rossi, Alfredo; Bartels, Natalie Garcia; Lutz, Gerhard; Wolff, Hans; Blume-Peytavi, Ulrike; Soreq, Hermona; Christiano, Angela M.; Botchkareva, Natalia V.; Nöthen, Markus M. und Betz, Regina C. (2018): Genome-Wide MicroRNA Analysis Implicates miR-30b/d in the Etiology of Alopecia Areata. In: Journal of Investigative Dermatology, Bd. 138, Nr. 3: S. 549-556

Abstract

Alopecia areata (AA) is one of the most common forms of human hair loss. Although genetic studies have implicated autoimmune processes in AA etiology, understanding of the etiopathogenesis is incomplete. Recent research has implicated microRNAs, a class of small noncoding RNAs, in diverse autoimmune diseases. To our knowledge, no study has investigated the role of microRNAs in AA. In this study, gene-based analyses were performed for microRNAs using data of the largest genome-wide association meta-analysis of AA to date. Nominally, significant P-values were obtained for 78 of the 617 investigated microRNAs. After correction for multiple testing, three of the 78 microRNAs remained significant. Of these, miR-30b/d was the most significant microRNA for the follow-up analyses, which also showed lower expression in the hair follicle of AA patients. Target gene analyses for the three microRNAs showed 42 significantly associated target genes. These included IL2RA, TNXB, and ERBB3, which had been identified as susceptibility loci in previous genome-wide association studies. Using luciferase assay, site-specific miR-30b regulation of the AA risk genes IL2RA, STX17, and TNXB was validated. This study implicates microRNAs in the pathogenesis of AA. This finding may facilitate the development of future treatment strategies.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 0022-202X
• Sprache: Englisch