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Body composition and metabolic caging analysis in high fat fed mice

Citation

Lancaster, GI and Henstridge, DC, Body composition and metabolic caging analysis in high fat fed mice, Journal of Visualized Experiments, (135) pp. e57280. ISSN 1940-087X (2018) [Refereed Article]


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Copyright Statement

Copyright 2018 Journal of Visualized Experiments

DOI: doi:10.3791/57280

Abstract

Alterations to body composition (fat or lean mass), metabolic parameters such as whole-body oxygen consumption, energy expenditure, and substrate utilization, and behaviors such as food intake and physical activity can provide important information regarding the underlying mechanisms of disease. Given the importance of body composition and metabolism to the development of obesity and its subsequent sequelae, it is necessary to make accurate measures of these parameters in the pre-clinical research setting. Advances in technology over the past few decades have made it possible to derive these measures in rodent models in a non-invasive and longitudinal fashion. Consequently, these metabolic measures have proven useful when assessing the response of genetic manipulations (for example knockout or transgenic mice, viral knock-down or overexpression of genes), experimental drug/compound screening and dietary, behavioral or physical activity interventions. Herein, we describe the protocols used to measure body composition and metabolic parameters using an animal monitoring system in chow-fed and high fat diet-fed mice.

Item Details

Item Type:Refereed Article
Keywords:diabetes, fat mass, food intake, high fat diet, insulin resistance, lean mass, medicine, metabolic caging, metabolism, obesity, oxygen consumption, physical activity, animal, body composition, genetics, lipid diet, male
Research Division:Biological Sciences
Research Group:Biochemistry and cell biology
Research Field:Cell metabolism
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Henstridge, DC (Mr Darren Henstridge)
ID Code:133383
Year Published:2018
Web of Science® Times Cited:8
Deposited By:Health Sciences
Deposited On:2019-06-24
Last Modified:2019-08-26
Downloads:1 View Download Statistics

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