Moving toward endotypes in atopic dermatitis: Identification of patient clusters based on serum biomarker analysis

JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY

卷:140

Article

Thijs, Judith L.^1,2  Strickland, Ian³  Bruijnzeel-Koomen, Carla A. F. M.¹  Nierkens, Stefan²  Giovannone, Barbara^1,2  Csomor, Eszter³  Sellman, Bret R.⁴  Mustelin, Tomas⁴  Sleeman, Matthew A.³  de Bruin-Weller, Marjolein S.¹  Herath, Athula³  Drylewicz, Julia²  May, Richard D.³  Hijnen, DirkJan^1,2 

[1] Univ Med Ctr Utrecht, Dept Dermatol & Allergol, Utrecht, Netherlands

[2] Univ Med Ctr Utrecht, Lab Translat Immunol, Utrecht, Netherlands

[3] MedImmune, Cambridge, England

[4] MedImmune, Gaithersburg, MD USA

关键词: Atopic dermatitis;    unsupervised cluster analysis;    disease heterogeneity;    clusters;    phenotypes;    endotypes;    personalized medicine;    principal component analysis;   

DOI  :  10.1016/j.jaci.2017.03.023

来源: Elsevier

【 摘 要 】

Background: Atopic dermatitis (AD) is a complex, chronic, inflammatory skin disease with a diverse clinical presentation. However, it is unclear whether this diversity exists at a biological level. Objective: We sought to test the hypothesis that AD is heterogeneous at the biological level of individual inflammatory mediators. Methods: Sera from 193 adult patients with moderate-to-severe AD(six area, six sign atopic dermatitis [SASSAD] score: geometric mean, 22.3 [95% CI, 21.3-23.3] and 39.1 [95% CI, 37.5-40.9], respectively) and 30 healthy control subjects without AD were analyzed for 147 serum mediators, total IgE levels, and 130 allergen-specific IgE levels. Population heterogeneity was assessed by using principal component analysis, followed by unsupervised k-means cluster analysis of the principal components. Results: Patients with AD showed pronounced evidence of inflammation compared with healthy control subjects. Principal component analysis of data on sera from patients with AD revealed the presence of 4 potential clusters. Fifty-seven principal components described approximately 90% of the variance. Unsupervised k-means cluster analysis of the 57 largest principal components delivered 4 distinct clusters of patients with AD. Cluster 1 had high SASSAD scores and body surface areas with the highest levels of pulmonary and activation-regulated chemokine, tissue inhibitor of metalloproteinases 1, and soluble CD14. Cluster 2 had low SASSAD scores with the lowest levels of IFN-alpha, tissue inhibitor of metalloproteinases 1, and vascular endothelial growth factor. Cluster 3 had high SASSAD scores with the lowest levels of IFN-beta, IL-1, and epithelial cytokines. Cluster 4 had low SASSAD scores but the highest levels of the inflammatory markers IL-1, IL-4, IL-13, and thymic stromal lymphopoietin. Conclusion: AD is a heterogeneous disease both clinically and biologically. Four distinct clusters of patients with AD have been identified that could represent endotypes with unique biological mechanisms. Elucidation of these endotypes warrants further investigation and will require future intervention trials with specific agents, such as biologics.

【 授权许可】

Free