Literature DB >> 17133120

Asthma phenotypes.

James Kiley1, Robert Smith, Patricia Noel.   

Abstract

PURPOSE OF REVIEW: Asthma is a heterogeneous disorder presenting with many phenotypes. Precise phenotypic definition has eluded the medical research community for years, despite recognition of different disease subtypes. Improved phenotypic characterization and knowledge of underlying pathobiology is necessary for linkage of specific genotypes with clinical disease manifestations. RECENT
FINDINGS: Phenotyping has been difficult because asthma is likely to be comprised of overlapping syndromes with varying origins and heterogeneous pathobiology. Currently, the field is too reliant on classification by trigger or symptoms. Since genotypic and phenotypic heterogeneity are inherent in asthma, patients presenting with different asthma phenotypes may need tailored therapies. Studies have begun to link genetics with disease mechanism and therapeutic response. As disease etiology, onset, progression and severity vary greatly among patients, however, the relative contribution of genetic factors may be difficult to ascertain. Definition of the full array of complex biological consequences of molecular target modulation is a prerequisite for therapies based on this concept.
SUMMARY: The advent of targeted therapies for asthma and clinical trials based on phenotype and genotype have raised interest in more accurate description of asthma phenotypes. Therapies based on phenotypic and genotypic characteristics may be useful in asthma management. A variety of factors, however, must be addressed before such approaches become standard.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17133120     DOI: 10.1097/MCP.0b013e328011b84b

Source DB:  PubMed          Journal:  Curr Opin Pulm Med        ISSN: 1070-5287            Impact factor:   3.155


  23 in total

Review 1.  Emerging roles of T helper subsets in the pathogenesis of asthma.

Authors:  Douglas M Durrant; Dennis W Metzger
Journal:  Immunol Invest       Date:  2010       Impact factor: 3.657

Review 2.  Role of PD-L1 and PD-L2 in allergic diseases and asthma.

Authors:  A K Singh; P Stock; O Akbari
Journal:  Allergy       Date:  2010-08-17       Impact factor: 13.146

3.  A genome-wide association scan for asthma in a general Australian population.

Authors:  J Hui; A Oka; A James; L J Palmer; A W Musk; J Beilby; H Inoko
Journal:  Hum Genet       Date:  2008-02-06       Impact factor: 4.132

Review 4.  Animal models of asthma.

Authors:  Jason H T Bates; Mercedes Rincon; Charles G Irvin
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2009-06-26       Impact factor: 5.464

5.  Polymorphisms in recent GWA identified asthma genes CA10, SGK493, and CTNNA3 are associated with disease severity and treatment response in childhood asthma.

Authors:  Petra Perin; Uroš Potočnik
Journal:  Immunogenetics       Date:  2014-01-10       Impact factor: 2.846

Review 6.  Genetic studies of the etiology of asthma.

Authors:  Kathleen C Barnes
Journal:  Proc Am Thorac Soc       Date:  2011-05

7.  Use of exhaled nitric oxide measurement to identify a reactive, at-risk phenotype among patients with asthma.

Authors:  Raed A Dweik; Ronald L Sorkness; Sally Wenzel; Jeffrey Hammel; Douglas Curran-Everett; Suzy A A Comhair; Eugene Bleecker; William Busse; William J Calhoun; Mario Castro; Kian Fan Chung; Elliot Israel; Nizar Jarjour; Wendy Moore; Stephen Peters; Gerald Teague; Benjamin Gaston; Serpil C Erzurum
Journal:  Am J Respir Crit Care Med       Date:  2010-02-04       Impact factor: 21.405

8.  Applied breath analysis: an overview of the challenges and opportunities in developing and testing sensor technology for human health monitoring in aerospace and clinical applications.

Authors:  Gary W Hunter; Raed A Dweik
Journal:  J Breath Res       Date:  2008-09       Impact factor: 3.262

Review 9.  Asthma outcomes: exacerbations.

Authors:  Anne Fuhlbrigge; David Peden; Andrea J Apter; Homer A Boushey; Carlos A Camargo; James Gern; Peter W Heymann; Fernando D Martinez; David Mauger; William G Teague; Carol Blaisdell
Journal:  J Allergy Clin Immunol       Date:  2012-03       Impact factor: 10.793

10.  Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program.

Authors:  Wendy C Moore; Deborah A Meyers; Sally E Wenzel; W Gerald Teague; Huashi Li; Xingnan Li; Ralph D'Agostino; Mario Castro; Douglas Curran-Everett; Anne M Fitzpatrick; Benjamin Gaston; Nizar N Jarjour; Ronald Sorkness; William J Calhoun; Kian Fan Chung; Suzy A A Comhair; Raed A Dweik; Elliot Israel; Stephen P Peters; William W Busse; Serpil C Erzurum; Eugene R Bleecker
Journal:  Am J Respir Crit Care Med       Date:  2009-11-05       Impact factor: 21.405

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.