Aligning mouse models of asthma to human endotypes of disease.
Aligning mouse models of asthma to human endotypes of disease.
复制标题
将哮喘的小鼠模型与人类疾病的内型统一。
DOI:
10.1111/resp.12315
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发表时间:
2014-08
期刊:
影响因子:
--
通讯作者:
Poynter ME
中科院分区:
文献类型:
--
作者:
Martin RA;Hodgkins SR;Dixon AE;Poynter ME
Substantial gains in understanding the pathophysiologic mechanisms underlying asthma have been made using preclinical mouse models. However, because asthma is a complex, heterogeneous syndrome that is rarely due to a single allergen and that often presents in the absence of atopy, few of the promising therapeutics that demonstrated effectiveness in mouse models have translated into new treatments for patients. This has resulted in an urgent need to characterize Th2-low, noneosinophilic subsets of asthma, to study models that are resistant to conventional treatments such as corticosteroids, and to develop therapies targeting patients with severe disease. Classifying asthma based on underlying pathophysiologic mechanisms, known as endotyping, offers a stratified approach for the development of new therapies for asthma. In preclinical research, new models of asthma are being utilized that more closely resemble the clinical features of different asthma endotypes, including the presence of IL-17 and a Th17 response, a biomarker of severe disease. These models utilize more physiologically relevant sensitizing agents, exacerbating factors, and allergens, as well as incorporate time points that better reflect the natural history and chronicity of clinical asthma. Importantly, some models better represent nonclassical asthma endotypes that facilitate the study of non-Th2 driven pathology and resemble the complex nature of clinical asthma, including corticosteroid resistance. Placing mouse asthma models into the context of human asthma endotypes will afford a more relevant approach to the understanding of pathophysiological mechanisms of disease that will afford the development of new therapies for those asthmatics that remain difficult to treat.
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影响因子:
4.6
作者:
Ackerman, KG;Huang, HL;Beier, DR
通讯作者:
Beier, DR
DOI:
10.1096/fj.08-107979
发表时间:
2008-11
期刊:
FASEB journal : official publication of the Federation of American Societies for Experimental Biology
影响因子:
--
作者:
Harrington LS;Lucas R;McMaster SK;Moreno L;Scadding G;Warner TD;Mitchell JA
通讯作者:
Mitchell JA
影响因子:
158.5
作者:
Corren, Jonathan;Lemanske, Robert F., Jr.;Matthews, John G.
通讯作者:
Matthews, John G.
影响因子:
9.1
作者:
Bleck, Bertram;Tse, Doris B.;Reibman, Joan
通讯作者:
Reibman, Joan
DOI:
10.1164/rccm.200711-1754oc
发表时间:
2008-08-01
影响因子:
24.7
作者:
Haldar P;Pavord ID;Shaw DE;Berry MA;Thomas M;Brightling CE;Wardlaw AJ;Green RH
通讯作者:
Green RH