Indian Journal of Dermatology
BASIC RESEARCH
Year
: 2019  |  Volume : 64  |  Issue : 1  |  Page : 1--6

Pathogenesis of alopecia areata based on bioinformatics analysis


Zhigang Zhang1, Xiaoli Wang2, Rongqiang Zhang1 
1 Department of Toxicology, School of Public Health, Shaanxi University of Chinese Medicine, Xi'an, China
2 Department of Dermatology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China

Correspondence Address:
Dr. Rongqiang Zhang
School of Public Health, Shaanxi University of Chinese Medicine, Shiji Ave., Xi'an-Xianyang New Ecomic Zone, Xi'an, Shaanxi 712046
China

Background: Alopecia areata (AA) describes a sudden localized patchy alopecia. The cause of AA is not completely clear and its incidence may be related to genetic, autoimmune, and environmental factors. Aim: To explore the possible mechanisms of AA and to provide a basis for the early diagnosis and treatment of AA. Methods: Gene microarray data from 122 scalp skin biopsy tissue samples from patients with AA or healthy controls from the Gene-Cloud of Biotechnology Information database were analyzed using bioinformatics analysis methods. Molecular network analysis of the differentially expressed genes (DEGs) was conducted by Cytocluster using the Molecular Complex Detection (MCODE) algorithm. Results: The gene expression profile of skin lesions from patients with AA was significantly altered, with 111 DEGs found in the skin lesions of AA, compared with that of the healthy skin. The DEGs were mainly related to biological processes such as the development of the epidermis and inflammatory reaction. The protein–protein interaction network analysis of DEGs revealed bone morphogenetic protein 2 (BMP2) as a core protein interaction network. BMP2 acted not only via the inflammatory response but also via the signaling pathways in epithelial cell development and epidermal cell differentiation to affect the epidermal development. MCODE analysis further showed that keratins (KRTs) and keratin-associated proteins (KRTAPs) can affect the epidermal development via the epidermal development pathway. Conclusions: The abnormal development of the epidermis and inflammatory reactions in skin tissue play important roles in the pathogenesis of AA and are closely related to BMP2, KRTs, and KRTAPs genes. Limitations: Our study was limited by experimental verification.


How to cite this article:
Zhang Z, Wang X, Zhang R. Pathogenesis of alopecia areata based on bioinformatics analysis.Indian J Dermatol 2019;64:1-6


How to cite this URL:
Zhang Z, Wang X, Zhang R. Pathogenesis of alopecia areata based on bioinformatics analysis. Indian J Dermatol [serial online] 2019 [cited 2019 Jan 15 ];64:1-6
Available from: http://www.e-ijd.org/article.asp?issn=0019-5154;year=2019;volume=64;issue=1;spage=1;epage=6;aulast=Zhang;type=0