Tara F Carr1, Monica Kraft2. 1. Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona. Electronic address: tcarr@deptofmed.arizona.edu. 2. Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona.
Abstract
OBJECTIVE: Severe asthma can be classified into phenotypes and endotypes, which may inform clinicians about inflammatory pathways leading to disease and ultimately guide optimal therapeutic strategy. Biomarkers, objectively measurable characteristics of the disease, are of increasing interest to clinicians and researchers as powerful tools to distinguish among the severe asthma phenotypes and endotypes. The objective of this review is to highlight current knowledge of biomarker applications to identify phenotypes and endotypes of severe asthma. DATA SOURCES: Sources used include observational cohorts, clinical trials, translational studies, comprehensive reviews, and expert/taskforce statements. STUDY SELECTIONS: Included studies were selected for their relevance to the topic and for strength of data or study design. RESULTS: In severe asthma, biomarkers can be used for diagnosis of phenotype or endotype, can also be predictive of clinical outcomes or response to therapy, and may be dynamic with time or therapy. Fully determining phenotype or endotype of severe asthma will require interpretation of combinations of commercially available biomarkers. CONCLUSION: Biomarkers have multiple potential clinical applications in severe asthma. Novel biomarkers may add accuracy to this field.
OBJECTIVE: Severe asthma can be classified into phenotypes and endotypes, which may inform clinicians about inflammatory pathways leading to disease and ultimately guide optimal therapeutic strategy. Biomarkers, objectively measurable characteristics of the disease, are of increasing interest to clinicians and researchers as powerful tools to distinguish among the severe asthma phenotypes and endotypes. The objective of this review is to highlight current knowledge of biomarker applications to identify phenotypes and endotypes of severe asthma. DATA SOURCES: Sources used include observational cohorts, clinical trials, translational studies, comprehensive reviews, and expert/taskforce statements. STUDY SELECTIONS: Included studies were selected for their relevance to the topic and for strength of data or study design. RESULTS: In severe asthma, biomarkers can be used for diagnosis of phenotype or endotype, can also be predictive of clinical outcomes or response to therapy, and may be dynamic with time or therapy. Fully determining phenotype or endotype of severe asthma will require interpretation of combinations of commercially available biomarkers. CONCLUSION: Biomarkers have multiple potential clinical applications in severe asthma. Novel biomarkers may add accuracy to this field.
Authors: Mats W Johansson; Brandon M Grill; Karina T Barretto; Molly C Favour; Hazel M Schira; Calvin M Swanson; Kristine E Lee; Ronald L Sorkness; Deane F Mosher; Loren C Denlinger; Nizar N Jarjour Journal: Int Arch Allergy Immunol Date: 2020-08-10 Impact factor: 2.749
Authors: Joe G Zein; Jeffrey M McManus; Nima Sharifi; Serpil C Erzurum; Nadzeya Marozkina; Timothy Lahm; Olivia Giddings; Michael D Davis; Mark D DeBoer; Suzy A Comhair; Peter Bazeley; Hyun Jo Kim; William Busse; William Calhoun; Mario Castro; Kian Fan Chung; John V Fahy; Elliot Israel; Nizar N Jarjour; Bruce D Levy; David T Mauger; Wendy C Moore; Victor E Ortega; Michael Peters; Eugene R Bleecker; Deborah A Meyers; Yi Zhao; Sally E Wenzel; Benjamin Gaston Journal: Am J Respir Crit Care Med Date: 2021-08-01 Impact factor: 30.528
Authors: Khairul Nizam Mohd Isa; Zailina Hashim; Juliana Jalaludin; Leslie Thian Lung Than; Jamal Hisham Hashim Journal: Int J Environ Res Public Health Date: 2020-07-28 Impact factor: 3.390
Authors: Ali Mobasheri; Simo Saarakkala; Mikko Finnilä; Morten A Karsdal; Anne-Christine Bay-Jensen; Willem Evert van Spil Journal: F1000Res Date: 2019-12-12