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Insights into the Molecular Mechanisms of the Anti-Atherogenic Actions of Flavonoids in Normal and Obese Mice

Overview of attention for article published in PLOS ONE, October 2011
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Title
Insights into the Molecular Mechanisms of the Anti-Atherogenic Actions of Flavonoids in Normal and Obese Mice
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0024634
Pubmed ID
Authors

Elena V. Shabrova, Olga Tarnopolsky, Ajay P. Singh, Jorge Plutzky, Nicholi Vorsa, Loredana Quadro

Abstract

Obesity is a major and independent risk factor for cardiovascular disease and it is strongly associated with the development of dyslipidemia, insulin resistance and type 2 diabetes. Flavonoids, a diverse group of polyphenol compounds of plant origin widely distributed in human diet, have been reported to have numerous health benefits, although the mechanisms underlying these effects have remained obscure. We analyzed the effects of chronic dietary supplementation with flavonoids extracted from cranberry (FLS) in normal and obese C57/BL6 mice compared to mice maintained on the same diets lacking FLS. Obese mice supplemented with flavonoids showed an amelioration of insulin resistance and plasma lipid profile, and a reduction of visceral fat mass. We provide evidence that the adiponectin-AMPK pathway is the main mediator of the improvement of these metabolic disorders. In contrast, the reduced plasma atherogenic cholesterol observed in normal mice under FLS seems to be due to a downregulation of the hepatic cholesterol synthesis pathway. Overall, we demonstrate for the first time that the molecular mechanisms underlying the beneficial effects of flavonoids are determined by the metabolic state.

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The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Canada 1 1%
Unknown 66 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Student > Master 7 10%
Student > Bachelor 7 10%
Student > Doctoral Student 6 9%
Other 4 6%
Other 15 22%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 32%
Medicine and Dentistry 8 12%
Biochemistry, Genetics and Molecular Biology 5 7%
Nursing and Health Professions 3 4%
Unspecified 3 4%
Other 12 17%
Unknown 16 23%