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Sex-Specific Effects of High Fat Diet on Indices of Metabolic Syndrome in 3xTg-AD Mice: Implications for Alzheimer's Disease

Overview of attention for article published in PLOS ONE, October 2013
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Title
Sex-Specific Effects of High Fat Diet on Indices of Metabolic Syndrome in 3xTg-AD Mice: Implications for Alzheimer's Disease
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0078554
Pubmed ID
Authors

Anna M. Barron, Emily R. Rosario, Reem Elteriefi, Christian J. Pike

Abstract

Multiple factors of metabolic syndrome have been implicated in the pathogenesis of Alzheimer's disease (AD), including abdominal obesity, insulin resistance, endocrine dysfunction and dyslipidemia. High fat diet, a common experimental model of obesity and metabolic syndrome, has been shown to accelerate cognitive decline and AD-related neuropathology in animal models. However, sex interacts with the metabolic outcomes of high fat diet and, therefore, may alter neuropathological consequences of dietary manipulations. This study examines the effects of sex and high fat diet on metabolic and AD-related neuropathological outcomes in 3xTg-AD mice. Three month-old male and female 3xTg-AD mice were fed either standard or high fat diets for 4 months. Obesity was observed in all high fat fed mice; however, ectopic fat accumulation, hyperglycemia and hyperinsulinemia were observed only in males. Interestingly, despite the different metabolic outcomes of high fat diet, the neuropathological consequences were similar: both male and female mice maintained under high fat diet exhibited significant worsening in behavioral performance and hippocampal accumulation of β-amyloid protein. Because high fat diet resulted in obesity and increased AD-like pathology in both sexes, these data support a role of obesity-related factors in promoting AD pathogenesis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Netherlands 1 <1%
Unknown 127 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 17%
Student > Bachelor 17 13%
Researcher 16 12%
Student > Master 16 12%
Professor > Associate Professor 8 6%
Other 24 19%
Unknown 26 20%
Readers by discipline Count As %
Neuroscience 21 16%
Agricultural and Biological Sciences 21 16%
Medicine and Dentistry 19 15%
Biochemistry, Genetics and Molecular Biology 15 12%
Nursing and Health Professions 5 4%
Other 17 13%
Unknown 31 24%