Department of Food Sciences and Nutrition, Catholic University of Daegu, Gyeongsan, Food and Nutritional Genomics Research Center, Kyungpook National University, Daegu, Republic of Korea.
Biotechnol J. 2010 Sep;5(9):919-29. doi: 10.1002/biot.201000048.
Recently, it has been suggested that insulin resistance is a better predictor of metabolic syndrome than obesity. Numerous studies have been conducted to identify insulin resistance susceptibility genes in various model systems. This review focuses on recent findings in microarray analyses, which have indicated that (i) in the liver, genes involved in lipid synthesis and gluconeogenesis are increased in an animal model of insulin resistance that leads into liver steatosis and hyperglycemia; (ii) in adipose tissues, genes involved in fatty acid synthesis and adipogenesis are down-regulated both in insulin-resistant humans and in animals; and (iii) in muscle, overall gene expression, including genes involved in fatty acid oxidation and biosynthesis, is either decreased or unresponsive compared to that of insulin-sensitive control human subjects or animals. Considering the multifaceted effects of insulin resistance in various tissues, aiming at multi-targets rather than a single target will be a more promising strategy for the prevention or treatment of insulin resistance.
最近,有人提出胰岛素抵抗是代谢综合征的一个更好的预测因子,而不是肥胖。已经进行了许多研究来确定各种模型系统中的胰岛素抵抗易感基因。这篇综述主要关注微阵列分析的最新发现,这些发现表明:(i)在肝脏中,在导致肝脂肪变性和高血糖的胰岛素抵抗动物模型中,参与脂质合成和糖异生的基因增加;(ii)在脂肪组织中,胰岛素抵抗的人类和动物中,参与脂肪酸合成和脂肪生成的基因下调;(iii)在肌肉中,与胰岛素敏感的对照人类或动物相比,整体基因表达,包括参与脂肪酸氧化和生物合成的基因,要么减少,要么无反应。考虑到胰岛素抵抗在各种组织中的多方面影响,针对多个靶点而不是单一靶点将是预防或治疗胰岛素抵抗的更有前途的策略。