Although different phenotypes of severe asthma can be identified, all are characterized by common symptoms. Due to their heterogeneity, they exhibit differences in pathogenesis, etiology and clinical responses to therapeutic approaches. The identification of distinct molecular phenotypes to define severe asthmatic patients will allow us to better understand the pathophysiology of the disease and thus to more precisely target the treatment for each patient. To achieve this goal, a systematic search for new, reliable and stable biomarkers specific for each phenotype is essential. This review focuses on the current known molecular phenotypes of severe asthma and highlights the need for biomarkers that could (either alone or in combination) be predictive of the treatment outcome.

Molecular phenotyping and biomarker development: Are we on our way towards targeted therapy for severe asthma?

CANONICA, GIORGIO
2016-01-01

Abstract

Although different phenotypes of severe asthma can be identified, all are characterized by common symptoms. Due to their heterogeneity, they exhibit differences in pathogenesis, etiology and clinical responses to therapeutic approaches. The identification of distinct molecular phenotypes to define severe asthmatic patients will allow us to better understand the pathophysiology of the disease and thus to more precisely target the treatment for each patient. To achieve this goal, a systematic search for new, reliable and stable biomarkers specific for each phenotype is essential. This review focuses on the current known molecular phenotypes of severe asthma and highlights the need for biomarkers that could (either alone or in combination) be predictive of the treatment outcome.
2016
Biomarkers
Molecular phenotypes
Personalized medicine
Severe asthma
Target therapy
Anti-Asthmatic Agents
Asthma
Biomarkers
Humans
Phenotype
Precision Medicine
Th2 Cells
Molecular Targeted Therapy
Pulmonary and Respiratory Medicine
Immunology and Allergy
Public Health
Environmental and Occupational Health
Medicine (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/32308
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