Confirmation of multiple endotypes in atopic dermatitis based on serum biomarkers

BackgroundAtopic dermatitis (AD) is a highly heterogeneous disease, both clinically and biologically, whereas patients are still being treated according to “one-size-fits-all” approach. Stratification of into biomarker-based endotypes important for future development personalized therapies.ObjectiveOur aim was confirm previously defined serum patient clusters in new cohort with AD.MethodsA panel 143 biomarkers measured by using Luminex technology samples from 146 severe AD (median Eczema Area Severity Index = 28.3; interquartile range 25.2-35.3). Principal components analysis followed unsupervised k-means cluster the biomarker data used identify clusters. A prediction model built on basis previous predict 1 4 identified which our would belong.ResultsCluster biomarker–based clusters, 3 (clusters B, C, D) were comparable Cluster (33.6%) could be distinguished other as “skin-homing chemokines/IL-1R1–dominant” cluster, B (18.5%) “TH1/TH2/TH17-dominant” C “TH2/TH22/PARC-dominant” D (29.5%) “TH2/eosinophil-inferior” cluster. Additionally, based we accurately assigned including only 10 selected biomarkers.ConclusionWe confirmed that at immunopathologic level distinct membership predicted biomarkers. Atopic therapies. Our AD. belong. We