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A Mouse Model of Diet-Induced Obesity and Insulin Resistance

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 821))

Abstract

Obesity is reaching pandemic proportions in Western society. It has resulted in increasing health care burden and decreasing life expectancy. Obesity is a complex, chronic disease, involving decades of pathophysiological changes and adaptation. Therefore, it is difficult ascertain the exact mechanisms for this long-term process in humans. To circumvent some of these issues, several surrogate models are available, including murine genetic loss-of-function mutations, transgenic gain-of-function mutations, polygenic models, and different environmental exposure models. The mouse model of diet-induced obesity has become one of the most important tools for understanding the interplay of high-fat Western diets and the development of obesity. The diet-induced obesity model closely mimics the increasingly availability of the high-fat/high-density foods in modern society over the past two decades, which are main contributors to the obesity trend in human. This model has lead to many discoveries of the important signalings in obesity, such as Akt and mTOR. The chapter describes protocols for diet induced-obesity model in mice and protocols for measuring insulin resistance and sensitivity.

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Acknowledgments

The author would like to thank Professor Ming-Shien Wen for his advice and encouragement. This work was supported by grants from National Institutes of Health (HL052233, DK085006, NS070001), National Health Research Institutes (NHRI-EX99-9925SC) and National Science Council (98-2314-B-182A-082-MY3).

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Correspondence to James K. Liao .

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Wang, CY., Liao, J.K. (2012). A Mouse Model of Diet-Induced Obesity and Insulin Resistance. In: Weichhart, T. (eds) mTOR. Methods in Molecular Biology, vol 821. Humana Press. https://doi.org/10.1007/978-1-61779-430-8_27

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  • DOI: https://doi.org/10.1007/978-1-61779-430-8_27

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-429-2

  • Online ISBN: 978-1-61779-430-8

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