Abstract
Emerging evidence suggests that components of the metabolic syndrome either in isolation or in aggregate may impact the onset or severity of neurodegenerative processes, including those physiologic changes that lead to Alzheimers Disease (AD). Several animal models that were originally designed to interrogate the metabolic syndrome are readily available. These models can now be used to support studies that may provide new mechanistic links between the metabolic syndrome and neurodegeneration. In addition, animal strains currently being generated and phenotyped through the efforts of an array of NIDDK-supported projects are likely to provide novel and better tools to advance Alzheimers disease research in the near future.
Keywords: Metabolic Syndrome, Insulin Resistance, Obesity, Alzheimer's Disease, Animal Models
Current Alzheimer Research
Title: Animal Models of Obesity and Metabolic Syndrome: Potential Tools for Alzheimers Disease Research
Volume: 4 Issue: 2
Author(s): Kristin M. Abraham
Affiliation:
Keywords: Metabolic Syndrome, Insulin Resistance, Obesity, Alzheimer's Disease, Animal Models
Abstract: Emerging evidence suggests that components of the metabolic syndrome either in isolation or in aggregate may impact the onset or severity of neurodegenerative processes, including those physiologic changes that lead to Alzheimers Disease (AD). Several animal models that were originally designed to interrogate the metabolic syndrome are readily available. These models can now be used to support studies that may provide new mechanistic links between the metabolic syndrome and neurodegeneration. In addition, animal strains currently being generated and phenotyped through the efforts of an array of NIDDK-supported projects are likely to provide novel and better tools to advance Alzheimers disease research in the near future.
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Cite this article as:
Abraham M. Kristin, Animal Models of Obesity and Metabolic Syndrome: Potential Tools for Alzheimers Disease Research, Current Alzheimer Research 2007; 4 (2) . https://dx.doi.org/10.2174/156720507780362209
DOI https://dx.doi.org/10.2174/156720507780362209 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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