“Novel therapies in skin allergic diseases”
Atopic dermatitis (AD) is the most prevalent skin allergy. Not surprisingly, there has been increasing interest in developing experimental approaches to study the pathogenesis of human AD in vivo, in vitro, and in silico to better define pathophysiologic mechanisms and identify novel therapeutic targets and biomarkers that predict therapeutic response.
In a review by Eyerich et al, the authors explore a range of models, including genetic mutations relevant to AD, experimental integration of ‘‘omics’’ data sets, and development of predictive computational models. They note that although no one model captures the complex AD pathophysiology, they show that several do provide insights into key elements of cutaneous biology, molecular pathways, and therapeutic target identification.
Furthermore, recent developments in computational analysis, including application of machine learning and a systems approach to data integration and predictive modeling, highlight the applicability of these methods to AD subclassification (endotyping), therapy development, and precision medicine.
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