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Stephan J. Guyenet

Researcher at University of Washington

Publications -  29
Citations -  3703

Stephan J. Guyenet is an academic researcher from University of Washington. The author has contributed to research in topics: Adipose tissue & Glucose uptake. The author has an hindex of 19, co-authored 28 publications receiving 3177 citations. Previous affiliations of Stephan J. Guyenet include University of Washington Medical Center.

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The relationship between high-fat dairy consumption and obesity, cardiovascular, and metabolic disease

TL;DR: The observational evidence does not support the hypothesis that dairy fat or high-fat dairy foods contribute to obesity or cardiometabolic risk, and suggests that high- fat dairy consumption within typical dietary patterns is inversely associated with obesity risk.
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A simple composite phenotype scoring system for evaluating mouse models of cerebellar ataxia.

TL;DR: A protocol for the rapid and sensitive quantification of disease severity in mouse models of cerebella ataxia, derived from previously published phenotype assessments in several disease models, including spinocerebellar ataxias, Huntington s disease and spinobulbar muscular atrophy is described.
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Regulation of Food Intake, Energy Balance, and Body Fat Mass: Implications for the Pathogenesis and Treatment of Obesity

TL;DR: In this paper, the authors considered all relevant published research and cited references that represented the highest quality evidence available, where space permitted, primary references were cited, and concluded that the increase of energy intake that has fueled the U.S. obesity epidemic is linked to greater availability of highly rewarding/palatable and energy-dense food.
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Bergmann glia expression of polyglutamine-expanded ataxin-7 produces neurodegeneration by impairing glutamate transport.

TL;DR: It is indicated that impairment of glutamate transport secondary to glial dysfunction contributes to SCA7 neurodegeneration, and a similar role for glia dysfunction in other polyglutamine diseases and SCAs is suggested.