Journal
EBIOMEDICINE
Volume 7, Issue -, Pages 240-247Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ebiom.2016.03.036
Keywords
Alopecia areata; Biomarkers; Autoimmune
Funding
- NIAMS NIH HHS [K08 AR069111, P30 AR044535, U01 AR067173] Funding Source: Medline
- NIGMS NIH HHS [T32 GM007088] Funding Source: Medline
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Alopecia areata (AA) is an autoimmune disease typified by nonscarring hair loss with a variable clinical course. In this study, we conducted whole genome gene expression analysis of 96 human scalp skin biopsy specimens from AA or normal control subjects. Based on gene expression profiling, samples formed distinct clusters based on the presence or absence of disease as well as disease phenotype (patchy disease compared with alopecia totalis or universalis). Differential gene expression analysis allowed us to robustly demonstrate graded immune activity in samples of increasing phenotypic severity and generate a quantitative gene expression scoring system that classified samples based on interferon and cytotoxic T lymphocyte immune signatures critical for disease pathogenesis. (C) 2016 The Authors. Published by Elsevier B.V. This an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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