4.3 Review

Characterizing wheeze phenotypes to identify endotypes of childhood asthma, and the implications for future management

Journal

EXPERT REVIEW OF CLINICAL IMMUNOLOGY
Volume 9, Issue 10, Pages 921-936

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1586/1744666X.2013.836450

Keywords

asthma phenotypes; endotypes; epidemiology; longitudinal cohorts; machine learning

Categories

Funding

  1. MRC [MR/K006665/1, MR/K002449/1] Funding Source: UKRI
  2. Medical Research Council [MR/K002449/1, MR/K006665/1, MC_PC_13042] Funding Source: researchfish
  3. Medical Research Council [MR/K002449/1, MR/K006665/1, MC_PC_13042] Funding Source: Medline

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It is now a commonly held view that asthma is not a single disease, but rather a set of heterogeneous diseases sharing common symptoms. One of the major challenges in treating asthma is understanding these different asthma phenotypes and their underlying biological mechanisms. This review gives an epidemiological perspective of our current understanding of the different phenotypes that develop from birth to childhood that come under the umbrella term asthma'. The review focuses mainly on publications from longitudinal birth cohort studies where the natural history of asthma symptoms is observed over time in the whole population. Identifying distinct pathophysiological mechanisms for these different phenotypes will potentially elucidate different asthma endotypes, ultimately leading to more effective treatment and management strategies.

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