Molecular signatures define alopecia areata subtypes and transcriptional biomarkers

Ali Jabbari; Jane E. Cerise; James C. Chen; Julian Mackay-Wiggan; Madeleine Duvic; Vera Price; Maria Hordinsky; David Norris; Raphael Clynes; Angela M. Christiano

doi:10.1016/j.ebiom.2016.03.036

Molecular signatures define alopecia areata subtypes and transcriptional biomarkers

Ali Jabbari, Jane E. Cerise, James C. Chen, Julian Mackay-Wiggan, Madeleine Duvic, Vera Price, Maria Hordinsky, David Norris, Raphael Clynes, Angela M. Christiano

Dermatology

Research output: Contribution to journal › Article › peer-review

67 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	240-247
Number of pages	8
Journal	EBioMedicine
Volume	7
DOIs	https://doi.org/10.1016/j.ebiom.2016.03.036
State	Published - May 1 2016

Keywords

Alopecia areata
Autoimmune
Biomarkers

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

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10.1016/j.ebiom.2016.03.036

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title = "Molecular signatures define alopecia areata subtypes and transcriptional biomarkers",

abstract = "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.",

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AU - Jabbari, Ali

AU - Cerise, Jane E.

AU - Chen, James C.

AU - Mackay-Wiggan, Julian

AU - Duvic, Madeleine

AU - Price, Vera

AU - Hordinsky, Maria

AU - Norris, David

AU - Clynes, Raphael

AU - Christiano, Angela M.

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AB - 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.

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Molecular signatures define alopecia areata subtypes and transcriptional biomarkers

Abstract

Keywords

ASJC Scopus subject areas

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