Towards precision medicine in severe asthma: Treatment algorithms based on treatable traits

Andriana I. Papaioannou, Zuzana Diamant, Petros Bakakos, Stelios Loukides*

*Corresponding author for this work

    Research output: Contribution to journalReview articleAcademicpeer-review

    9 Citations (Scopus)

    Abstract

    Asthma is a common disease, and although its clinical manifestations may be similar among patients, recent research discoveries have shown that it consists of several distinct clinical clusters or phenotypes, each with different underlying molecular pathways yielding different treatment responses. Based on these observations, an alternative approach - known as 'precision medicine' - has been proposed for the management of patients with severe asthma. Precision medicine advocates identification of treatable traits, linking them to therapeutic approaches targeting genetic, immunological, environmental, and/or lifestyle factors in individual patients. The main "goal" of this personalised approach is to enable choosing a treatment which will be more likely to produce a beneficial response in the individual patient rather than a 'one size fits all' approach. The aim of the present review is to discuss different ways of phenotyping asthma and to provide a rationale for treatment algorithms based on principles of precision medicine.

    Original languageEnglish
    Pages (from-to)15-22
    Number of pages8
    JournalRespiratory Medicine
    Volume142
    DOIs
    Publication statusPublished - Sep-2018

    Keywords

    • Asthma
    • Precision medicine
    • Biologics
    • Phenotype
    • Endotype
    • Biomarkers
    • EXERCISE-INDUCED BRONCHOCONSTRICTION
    • RANDOMIZED CONTROLLED-TRIAL
    • AIRWAY SMOOTH-MUSCLE
    • EXACERBATED RESPIRATORY-DISEASE
    • ASPIRIN-INTOLERANT ASTHMA
    • CONTROLLED CLINICAL-TRIAL
    • PLACEBO-CONTROLLED TRIAL
    • SEVERE PERSISTENT ASTHMA
    • NON-EOSINOPHILIC ASTHMA
    • SPUTUM CELL COUNTS

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