TY - JOUR
T1 - Use of biomarkers to identify phenotypes and endotypes of severe asthma
AU - Carr, Tara F.
AU - Kraft, Monica
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/10
Y1 - 2018/10
N2 - 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.
AB - 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.
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U2 - 10.1016/j.anai.2018.07.029
DO - 10.1016/j.anai.2018.07.029
M3 - Review article
C2 - 30059792
AN - SCOPUS:85054055262
SN - 1081-1206
VL - 121
SP - 414
EP - 420
JO - Annals of Allergy, Asthma and Immunology
JF - Annals of Allergy, Asthma and Immunology
IS - 4
ER -