The role of small airways in obstructive airway diseases

P-R Burgel, P-R Burgel

Abstract

This review article is a summary of a seminar organised by the European Respiratory Society on "The role of small airways in obstructive airway diseases" which was held in October 2010 in Amsterdam, the Netherlands. The aims of the seminar were to identify important questions related to small airways involvement in asthma and chronic obstructive pulmonary disease (COPD), and to discuss future approaches based on current and evolving knowledge. Data obtained by pathological and physiological measurements in small airways and their relevance to clinical manifestations and therapeutics in asthma and COPD were reviewed. It was concluded that our knowledge on the roles of small airways in asthma and COPD is limited. Studies of large numbers of well-characterised subjects using multiple methods (genetic characterisation, cell biology and physiology, imaging) and integration of the data using mathematical models are suggested to be of interest. The availability of these techniques coupled with our ability to better target inhaled molecules to small airways provide a unique opportunity for a reappraisal of the relevance of small airways in chronic airway diseases.

Conflict of interest statement

Statement of Interest

P-R. Burgel has received less than €5,000 during the past 5 years for fees for speaking by Chiesi Pharmaceuticals. Travel to the ATS congress was also funded by Chiesi Pharmaceuticals. P-R. Burgel received fees for advisory board participation or lectures from AstraZeneca, Boehringer Ingelheim, Chiesi, Novartis and Nycomed.

Figures

Figure 1.
Figure 1.
Schematic diagram of the recently described concept of “systems medicine” [93], which includes genetic characterisation, cell biology and physiology, imaging and analysis of clinical data and is a consistent, novel and interesting approach to unravel novel mechanisms in chronic respiratory disease (e.g. asthma and chronic obstructive pulmonary disease). Collection of these large amounts of data in cross-sectional and longitudinal studies and analysis using unbiased mathematical models may generate novel and unintuitive hypotheses.

Source: PubMed

3
S'abonner