Laboratory of Inflammatory Skin Diseases, Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Laboratory for Investigative Dermatology, The Rockefeller University, New York, NY, USA.
Allergy. 2021 Oct;76(10):3053-3065. doi: 10.1111/all.14814. Epub 2021 Jun 17.
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.
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).
A total of 608 inflammatory genes were differentially expressed in lesional AA scalp (fold change/FCH>1.5, false discovery rate/FDR<0.05) including Th1 (IFNG/IL12B/CXCL11), Th2 (IL13/CCL18), and T-cell activation-related (ICOS) products. Th1/Th2-related markers were significantly correlated with AA clinical severity in lesional/nonlesional tissue, while keratins (KRT35/KRT83/KRT81) were significantly downregulated in lesional compared to healthy scalp (p < .05). Expression of cardiovascular/atherosclerosis-related markers (MMP9/CCL2/IL1RL1/IL33R/ST2/AGER) in lesional scalp correlated with their corresponding serum expression (p < .05). AA scalp demonstrated significantly greater biomarker dysregulation compared to blood. An integrated multivariate approach combining scalp and serum biomarkers improved correlations with disease severity/SALT.
This study contributes a unique understanding of the phenotype of moderate-to-severe AA with an integrated scalp and serum biomarker model suggesting the systemic nature of the disease, advocating for the need for immune-based systemic treatment.
斑秃(AA)的特征是头皮和血液中的免疫失调,但缺乏一种大规模的方法来建立包含头皮组织和血清隔室的 AA 生物标志物。我们旨在比较健康头皮与斑秃病变和非病变头皮的转录组特征,并确定其与同一个体血清蛋白质组的关系,以及与 AA 疾病严重程度的临床比较相关性。
我们评估了中重度 AA 患者(n=18)和健康个体(n=8)的病变和非病变头皮组织和血清。我们使用 RNAseq 转录组评估评估了 AA 头皮组织中的 33118 个基因,并使用 OLINK 高通量蛋白质组学评估了血清中的 340 个炎症蛋白。使用单变量和多变量方法将疾病生物标志物与脱发严重程度评估工具(SALT)相关联。
病变 AA 头皮中共有 608 个炎症基因表达差异(倍数变化/FCH>1.5,错误发现率/FDR<0.05),包括 Th1(IFNG/IL12B/CXCL11)、Th2(IL13/CCL18)和 T 细胞激活相关(ICOS)产物。Th1/Th2 相关标志物在病变/非病变组织中与 AA 临床严重程度显著相关,而角质形成细胞(KRT35/KRT83/KRT81)在病变与健康头皮相比显著下调(p<0.05)。病变头皮中与心血管/动脉粥样硬化相关的标志物(MMP9/CCL2/IL1RL1/IL33R/ST2/AGER)的表达与其相应的血清表达相关(p<0.05)。AA 头皮显示出比血液更大的生物标志物失调。结合头皮和血清生物标志物的综合多变量方法改善了与疾病严重程度/SALT 的相关性。
这项研究对中重度 AA 的表型有了独特的认识,结合头皮和血清生物标志物模型表明了疾病的全身性,提倡需要进行基于免疫的全身治疗。