It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Dietary restriction has shown benefits in physiological, metabolic, and molecular signatures associated with aging but is a difficult lifestyle to maintain for most individuals. In mice, a less restrictive diet that allows for cyclical periods of reduced calories mitigates aging phenotypes, yet the effects of such an intervention in a genetically heterogenous, higher-order mammal has not been examined. Here, using middle-aged rhesus macaques matched for age and sex, we show that a regimen of 4 days of low-calorie intake followed by 10 days of ad libitum feeding (4:10 diet) performed in repeating cycles over 12 weeks led to significant loss of weight and fat percentage, despite the free access to food for most of the study duration. We show the 4-day restriction period is sufficient to drive alterations to the serum metabolome characterized by substantial differences in lipid classes. These phenotypes were paralleled by changes in the gut microbiome of restricted monkeys that highlight the involvement of a microbiome-metabolome axis. This regimen shows promising phenotypes, with some sex-dimorphic responses, including residual memory of the diet. As many calorie restriction interventions are difficult to sustain, we propose that this short-term diet may be easier to adhere to and have benefits directly relevant to human aging.
Here, the authors show that periodic restricted feeding (PRF) in Rhesus monkeys induces lasting weight loss not directly tied to reduced calories, while altering sex-specific metabolome and microbiome composition, in turn associated with long-term benefits.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details






1 National Institute on Aging, NIH, Translational Gerontology Branch, Baltimore, USA (GRID:grid.419475.a) (ISNI:0000 0000 9372 4913)
2 The State University of New York, Korea (SUNY Korea), Department of Applied Mathematics & Statistics, Incheon, South Korea (GRID:grid.410685.e) (ISNI:0000 0004 7650 0888)
3 University of Kentucky, Department of Microbiology, Immunology and Molecular Genetics, College of Medicine, Lexington, USA (GRID:grid.266539.d) (ISNI:0000 0004 1936 8438)
4 Precision Nutrition and Aging Program, Institute IMDEA Food (CEI UAM+CSIC), Laboratory of Cellular and Molecular Gerontology, Madrid, Spain (GRID:grid.482878.9) (ISNI:0000 0004 0500 5302); CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Madrid, Spain (GRID:grid.512890.7)