Serum biomarker-based endotypes of atopic dermatitis in China and prediction for efficacy of dupilumab

Author:

Wu Yuemeng1,Gu Chaoying1,Wang Shangshang1,Yin Huibin1,Qiu Zhuoqiong1,Luo Yang2,Li Zheng1,Wang Ce3,Yao Xu2,Li Wei1

Affiliation:

1. Department of Dermatology, Huashan Hospital, Fudan University, Shanghai Institute of Dermatology , Shanghai, 200040 , P.R. China

2. Department of Allergy and Rheumatology, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College , Nanjing 210042 , P.R. China

3. Department of Biostatistics, School of Public Health, and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University , Shanghai , China

Abstract

Abstract Background Atopic dermatitis (AD) is a highly heterogeneous disease clinically and biologically. Serum biomarkers have been utilized for endotype identification and have the potential to be predictors for treatment. Objectives To explore the serum biomarker-based endotypes of Chinese patients with AD and to identify biomarkers for prediction of the efficacy of dupilumab. Methods Sera from 125 patients with moderate-to-severe AD and 60 normal controls (NC) were analysed for 24 cytokines/chemokines using the magnetic Luminex assay. After the patients received 16 weeks of dupilumab treatment, the efficacy was evaluated, and blood eosinophils, serum immunoglobulin (Ig) E and biomarkers were measured. Results Chinese patients with moderate-to-severe AD were characterized by T-helper (Th)2-dominant serum biomarkers that were mixed with differentially increased Th1-, Th17- and Th22-type cytokines/chemokines, and it was mainly Th2-type serum biomarkers that were positively correlated with disease severity and eosinophil counts. Adult (but not adolescent or elderly) patients with AD showed a consistent and more significant increase of biomarkers across different types of inflammation. The patients were grouped into two clusters by unsupervised k-means analysis, which were differentially associated with inflammation. Treatment with dupilumab decreased the levels of most cytokines/chemokines analysed. While there was no difference between the two clusters in the efficacy of dupilumab, baseline levels of CD25/soluble interleukin (sIL)-2Rα, IL-31 and IL-36β were identified as predictive factors associated with the efficacy. Conclusions Our study revealed two inflammation-related endotypes of Chinese patients with AD based on serum biomarkers. High levels of CD25/sIL-2Rα, IL-31 and IL-36β might predict good efficacy of dupilumab treatment.

Publisher

Oxford University Press (OUP)

Subject

Dermatology

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