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糖尿病性心血管疾病动物模型的构建方法。

Recipes for creating animal models of diabetic cardiovascular disease.

作者信息

Hsueh Willa, Abel E Dale, Breslow Jan L, Maeda Nobuyo, Davis Richard C, Fisher Edward A, Dansky Hayes, McClain Donald A, McIndoe Richard, Wassef Momtaz K, Rabadán-Diehl Cristina, Goldberg Ira J

机构信息

Division of Endocrinology, Diabetes, and Hypertension, The David Geffen School of Medicine, University of California, Los Angeles, CA, USA.

出版信息

Circ Res. 2007 May 25;100(10):1415-27. doi: 10.1161/01.RES.0000266449.37396.1f.

DOI:10.1161/01.RES.0000266449.37396.1f
PMID:17525381
Abstract

For more than 50 years, investigators have unsuccessfully tried to recreate in experimental animals the cardiovascular complications of diabetes seen in humans. In particular, accelerated atherosclerosis and dilated cardiomyopathy, the major causes of mortality in patients with diabetes, have been conspicuously absent in many mouse models of the disease. Under the auspices of the NIH, the Animal Models of Diabetic Complications Consortium has worked to address this issue. This effort has focused on the development of mouse models because of the high level of genomic information available and the many well-developed genetic manipulations that may be performed in mice. Importantly, the consortium has also worked to standardize many methods to assess metabolic and cardiovascular end points for measurement of the diabetic state and its macrovascular complications. Finally, for maximum benefits from these animal models in the study of atherosclerosis and of other diabetic complications, the consortium has created a system for sharing both the animal models and the accumulated phenotypic data with the greater scientific community.

摘要

五十多年来,研究人员一直试图在实验动物身上重现人类糖尿病患者出现的心血管并发症,但均未成功。特别是,加速动脉粥样硬化和扩张型心肌病作为糖尿病患者的主要死亡原因,在许多糖尿病小鼠模型中明显不存在。在美国国立卫生研究院(NIH)的支持下,糖尿病并发症动物模型联盟致力于解决这一问题。由于可获得的基因组信息水平高,且小鼠可进行多种成熟的基因操作,这项工作主要集中在小鼠模型的开发上。重要的是,该联盟还致力于规范许多评估代谢和心血管终点的方法,以测量糖尿病状态及其大血管并发症。最后,为了在动脉粥样硬化和其他糖尿病并发症的研究中从这些动物模型中获得最大益处,该联盟创建了一个系统,与更广泛的科学界共享动物模型和积累的表型数据。

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