An integrated scalp and blood biomarker approach suggests the systemic nature of alopecia areata

Background Alopecia areata (AA) is characterized by immune dysregulation in both scalp and blood, but a large‐scale approach establishing biomarkers of AA incorporating both scalp tissue and serum compartments is lacking. We aimed to characterize the transcriptomic signature of AA lesional and nonle...

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Bibliographic Details
Published in:Allergy (Copenhagen) 2021-10, Vol.76 (10), p.3053-3065
Main Authors: Glickman, Jacob W., Dubin, Celina, Dahabreh, Dante, Han, Joseph, Del Duca, Ester, Estrada, Yeriel D., Zhang, Ning, Kimmel, Grace W., Singer, Giselle, Krueger, James G., Pavel, Ana B., Guttman‐Yassky, Emma
Format: Article
Language:English
Subjects:
Alopecia
alopecia areata
Alopecia Areata - diagnosis
Alopecia Areata - genetics
Arteriosclerosis
Baldness
bioinformatics
Biomarkers
Blood
CCL18 protein
Cell activation
CXCL11 protein
Gelatinase B
Humans
Inflammation
Interleukin 1
Interleukin 13
Keratins, Hair-Specific
Keratins, Type II
Lymphocyte Activation
Lymphocytes T
Monocyte chemoattractant protein 1
OLINK
Phenotypes
Proteomes
Proteomics
RNAseq
Scalp
Severity of Illness Index
Transcriptomics
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Summary:Background Alopecia areata (AA) is characterized by immune dysregulation in both scalp and blood, but a large‐scale approach establishing biomarkers of AA incorporating both scalp tissue and serum compartments is lacking. We aimed to characterize the transcriptomic signature of AA lesional and nonlesional scalp compared to healthy scalp and determine its relationship with the blood proteome in the same individuals, with comparative correlations to clinical AA disease severity. Methods We evaluated lesional and nonlesional scalp tissues and serum from patients with moderate‐to‐severe AA (n = 18) and healthy individuals (n = 8). We assessed 33,118 genes in AA scalp tissue using RNAseq transcriptomic evaluation and 340 inflammatory proteins in serum using OLINK high‐throughput proteomics. Univariate and multivariate approaches were used to correlate disease biomarkers with Severity of Alopecia Tool (SALT). Results A total of 608 inflammatory genes were differentially expressed in lesional AA scalp (fold change/FCH>1.5, false discovery rate/FDR
ISSN:0105-4538
1398-9995
DOI:10.1111/all.14814