Among patients with asthma, reliance on the type/dose of prescribed medication and symptom control does not adequately capture those at risk of adverse outcomes, and we need biomarkers for risk and treatment stratification that are consistently accurate, readily quantifiable, and reproducible. Most patients with severe asthma, regardless of age, have predominant type-2 inflammation-mediated disease, making airway/blood eosinophils, fractional exhaled nitric oxide, periostin, and/or allergic sensitization potentially important biomarkers for severe disease. In both adult and pediatric asthma, there is scope to improve prediction of severe attacks by using a composite type-2 biomarker of blood eosinophils and fractional exhaled nitric oxide. Technological advances in component-resolved diagnostics microarray technologies coupled with the development of interpretation software offer a possibility to use component-resolved diagnostics as biomarkers of asthma severity among sensitized patients with asthma. Genetic predisposition and polygenic risk scores of relevant traits (eg, lung function, host immune responses, biomarkers of exposure from the indoor and outdoor environment, infection, and microbial dysbiosis) may also contribute to prediction algorithms. We challenge the idea that asthma can be accurately defined in an individual patient by a discrete and static "endotype" (eg, type-2-high asthma). As we traverse the new era of molecular endotyping in asthma, we need to understand how relevant mechanisms impact patient outcomes, and in parallel develop new tools and approaches to stratify therapies and define individual patient trajectories.
Keywords: Feno; Severe asthma; T2 asthma; allergic sensitization; eosinophils; immune responses; microbial dysbiosis.
Copyright © 2021. Published by Elsevier Inc.