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探究代谢综合征:猪模型的贡献

Investigating the Metabolic Syndrome: Contributions of Swine Models.

作者信息

Zhang Xin, Lerman Lilach O

机构信息

Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.

Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA

出版信息

Toxicol Pathol. 2016 Apr;44(3):358-66. doi: 10.1177/0192623316630835. Epub 2016 Mar 1.

Abstract

The metabolic syndrome (MetS), a cluster of dyslipidemia, hypertension, and diabetes and an important contributor to cardiovascular morbidity and mortality, occurs in nearly 35% of adults and 50% of the aging population in the United States. However, the underlying mechanisms by which MetS orchestrates and amplifies cardiovascular events remain elusive. Furthermore, traditional therapeutic strategies addressing lifestyle modifications and individual components of MetS are often unsuccessful in decreasing morbidity due to MetS. The availability of an adequate experimental platform that mimics the complexity of MetS may allow development of novel management techniques. Swine models, including domestic pigs and minipigs, have made important contributions to our understanding of many aspects of MetS. Given their similarity to human anatomy and physiology, those models may have significant predictive power for elucidating the pathophysiology of MetS in a manner applicable to humans. Moreover, experimental maneuvers and drugs can be tested in these preclinical models before application in patients with MetS. This review highlights the utility of the pig as an animal model for metabolic disorders, which may play a crucial role in novel drug development to optimize management of MetS.

摘要

代谢综合征(MetS)是血脂异常、高血压和糖尿病的集合,是心血管疾病发病和死亡的重要因素,在美国近35%的成年人和50%的老年人群中存在。然而,MetS协调和放大心血管事件的潜在机制仍不清楚。此外,针对生活方式改变和MetS各个组成部分的传统治疗策略在降低MetS所致发病率方面往往并不成功。一个能够模拟MetS复杂性的合适实验平台的出现,可能会促进新型管理技术的开发。猪模型,包括家猪和小型猪,在我们对MetS多个方面的理解上做出了重要贡献。鉴于它们在解剖学和生理学上与人类相似,这些模型在以适用于人类的方式阐明MetS的病理生理学方面可能具有显著的预测能力。此外,在将实验操作和药物应用于MetS患者之前,可以在这些临床前模型中进行测试。本综述强调了猪作为代谢紊乱动物模型的实用性,其在新型药物开发以优化MetS管理方面可能发挥关键作用。

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