Needs for Systems Approaches to Better Treat Individuals With Severe Asthma: Predicting Phenotypes and Responses to Treatments

Frontiers in Medicine

article

Luc Colas¹  Dorian Hassoun¹  Antoine Magnan¹ 

[1] Nantes Université;Nantes Université, Centre de Recherche en Transplantation et Immunologie UMR1064

关键词: asthma;    type 2 inflammation;    biologics;    system medicine;    4P medicine;    omics sciences;   

DOI  :  10.3389/fmed.2020.00098

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Asthma is a frequent heterogeneous multifactorial chronic disease whose severe forms remain largely uncontrolled despite the availability of many drugs and educational therapy. Several phenotypes and endotypes of severe asthma have been described over the last two decades. Typical type-2-immunity-driven asthma remains the most frequent phenotype, and several targeted therapies have been developed and are now available. On the contrary, non-type-2 immunity-driven severe asthma is less understood and still requires efficient innovative therapies. A personalized approach would allow improving asthma control with the help of robust biomarkers able to predict phenotypes/endotypes, exacerbations, response to targeted treatments and, in the future, possible curative options. Some data from large multicenter cohorts have emerged in recent years, especially in transcriptomics. These data have to be integrated and reproduced longitudinally to provide a systems approach for asthma care. In this focused review, the needs for such an approach and the available data will be reviewed as well as the next steps for achieving personalized medicine in asthma.

【 授权许可】

CC BY