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High-Fat Diet Induces Apoptosis of Hypothalamic Neurons

Overview of attention for article published in PLOS ONE, April 2009
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Title
High-Fat Diet Induces Apoptosis of Hypothalamic Neurons
Published in
PLOS ONE, April 2009
DOI 10.1371/journal.pone.0005045
Pubmed ID
Authors

Juliana C. Moraes, Andressa Coope, Joseane Morari, Dennys E. Cintra, Erika A. Roman, José R. Pauli, Talita Romanatto, José B. Carvalheira, Alexandre L. R. Oliveira, Mario J. Saad, Licio A. Velloso

Abstract

Consumption of dietary fats is amongst the most important environmental factors leading to obesity. In rodents, the consumption of fat-rich diets blunts leptin and insulin anorexigenic signaling in the hypothalamus by a mechanism dependent on the in situ activation of inflammation. Since inflammatory signal transduction can lead to the activation of apoptotic signaling pathways, we evaluated the effect of high-fat feeding on the induction of apoptosis of hypothalamic cells. Here, we show that consumption of dietary fats induce apoptosis of neurons and a reduction of synaptic inputs in the arcuate nucleus and lateral hypothalamus. This effect is dependent upon diet composition, and not on caloric intake, since pair-feeding is not sufficient to reduce the expression of apoptotic markers. The presence of an intact TLR4 receptor, protects cells from further apoptotic signals. In diet-induced inflammation of the hypothalamus, TLR4 exerts a dual function, on one side activating pro-inflammatory pathways that play a central role in the development of resistance to leptin and insulin, and on the other side restraining further damage by controlling the apoptotic activity.

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Mendeley readers

The data shown below were compiled from readership statistics for 370 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Spain 3 <1%
Brazil 2 <1%
Canada 2 <1%
France 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Unknown 355 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 20%
Student > Master 52 14%
Student > Bachelor 52 14%
Researcher 45 12%
Student > Doctoral Student 27 7%
Other 55 15%
Unknown 65 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 91 25%
Neuroscience 63 17%
Biochemistry, Genetics and Molecular Biology 55 15%
Medicine and Dentistry 45 12%
Nursing and Health Professions 6 2%
Other 31 8%
Unknown 79 21%