TY - JOUR
T1 - Towards precision medicine in severe asthma
T2 - Treatment algorithms based on treatable traits
AU - Papaioannou, Andriana I.
AU - Diamant, Zuzana
AU - Bakakos, Petros
AU - Loukides, Stelios
PY - 2018/9
Y1 - 2018/9
N2 - 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.
AB - 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.
KW - Asthma
KW - Precision medicine
KW - Biologics
KW - Phenotype
KW - Endotype
KW - Biomarkers
KW - EXERCISE-INDUCED BRONCHOCONSTRICTION
KW - RANDOMIZED CONTROLLED-TRIAL
KW - AIRWAY SMOOTH-MUSCLE
KW - EXACERBATED RESPIRATORY-DISEASE
KW - ASPIRIN-INTOLERANT ASTHMA
KW - CONTROLLED CLINICAL-TRIAL
KW - PLACEBO-CONTROLLED TRIAL
KW - SEVERE PERSISTENT ASTHMA
KW - NON-EOSINOPHILIC ASTHMA
KW - SPUTUM CELL COUNTS
U2 - 10.1016/j.rmed.2018.07.006
DO - 10.1016/j.rmed.2018.07.006
M3 - Review article
VL - 142
SP - 15
EP - 22
JO - Respiratory Medicine
JF - Respiratory Medicine
SN - 0954-6111
ER -