Inflammatory biomarkers in severe asthma

被引:25
作者
Chung, Kian F. [1 ,2 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Natl Heart & Lung Inst, London SW3 6LY, England
[2] Royal Brompton Hosp, NIHR Biomed Res Unit, London SW3 6LY, England
基金
英国惠康基金;
关键词
asthma phenotypes; biomarkers; exhaled nitric oxide; severe asthma; sputum eosinophils; EXHALED NITRIC-OXIDE; RELATIVE CORTICOSTEROID INSENSITIVITY; BLOOD MONONUCLEAR-CELLS; AIR-FLOW OBSTRUCTION; NEUTROPHILIC INFLAMMATION; ALVEOLAR MACROPHAGES; CLUSTER-ANALYSIS; LUNG-FUNCTION; LIPOXIN A(4); EXACERBATIONS;
D O I
10.1097/MCP.0b013e32834d09a5
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
100201 [内科学];
摘要
Purpose of review Severe asthma remains a condition in search of deeper understanding and of newer effective therapies. Risk factors for developing severe asthma, phenotyping of disease, characterizing the inflammatory response and understanding of poor therapeutic responses to corticosteroids are important areas of research. The development of biomarkers for phenotypic diagnosis and prognostic reasons is important. Recent findings Severe asthma has been defined as asthma that does not respond adequately to asthma medications, particularly corticosteroids, with continuing loss of control of asthma and future risk of exacerbations and side effects from corticosteroid therapy. This is a heterogeneous condition and cluster analyses have yielded phenotypes on the basis of age of onset of disease, sex, lung function, atopy and questionnaire data. Use of sputum eosinophil counts has further defined a group with persistent eosinophilic inflammation despite corticosteroid therapy, and a noneosinophilic group with uncontrolled asthma. Summary Use of a single biomarker provides value in phenotyping and in predicting response to treatment but many more biomarkers such as those derived from -omic approaches remain to be used in the analysis. A systems biology approach to finding novel biomarkers is the way forward to stratify severe asthma so that appropriate and distinct therapies can be selected for each subtype.
引用
收藏
页码:35 / 41
页数:7
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