OBJECTIVE: The Protein-Leverage Hypothesis proposes that humans regulate their intake of macronutrients and that protein intake is prioritized over fat and carbohydrate intake, causing excess energy ingestion when diets contain low %protein. Here we test in a model animal, the mouse: (i) the extent to which intakes of protein and carbohydrate are regulated; (ii) if protein intake has priority over carbohydrates so that unbalanced foods low in %protein leads to increased energy intake; and (iii) how such variations in energy intake are converted into growth and storage. METHODS AND PROCEDURES: We fed mice one of five isocaloric foods having different protein to carbohydrate composition, or a combination of two of these foods (N = 15). Nutrient intake and corresponding growth in lean body mass and lipid mass were measured. Data were analyzed using a geometric approach for analyzing intake of multiple nutrients. RESULTS: (i) Mice fed different combinations of complementary foods regulated their intake of protein and carbohydrate toward a relatively well-defined intake target. (ii) When mice were offered diets with fixed protein to carbohydrate ratio, they regulated the intake of protein more strongly than carbohydrate. This protein-leverage resulted in higher energy consumption when diets had lower %protein and led to increased lipid storage in mice fed the diet containing the lowest %protein. DISCUSSION: Although the protein-leverage in mice was less than what has been proposed for humans, energy intakes were clearly higher on diets containing low %protein. This result indicates that tight protein regulation can be responsible for excess energy ingestion and higher fat deposition when the diet contains low %protein.
OBJECTIVE: The Protein-Leverage Hypothesis proposes that humans regulate their intake of macronutrients and that protein intake is prioritized over fat and carbohydrate intake, causing excess energy ingestion when diets contain low %protein. Here we test in a model animal, the mouse: (i) the extent to which intakes of protein and carbohydrate are regulated; (ii) if protein intake has priority over carbohydrates so that unbalanced foods low in %protein leads to increased energy intake; and (iii) how such variations in energy intake are converted into growth and storage. METHODS AND PROCEDURES: We fed mice one of five isocaloric foods having different protein to carbohydrate composition, or a combination of two of these foods (N = 15). Nutrient intake and corresponding growth in lean body mass and lipid mass were measured. Data were analyzed using a geometric approach for analyzing intake of multiple nutrients. RESULTS: (i) Mice fed different combinations of complementary foods regulated their intake of protein and carbohydrate toward a relatively well-defined intake target. (ii) When mice were offered diets with fixed protein to carbohydrate ratio, they regulated the intake of protein more strongly than carbohydrate. This protein-leverage resulted in higher energy consumption when diets had lower %protein and led to increased lipid storage in mice fed the diet containing the lowest %protein. DISCUSSION: Although the protein-leverage in mice was less than what has been proposed for humans, energy intakes were clearly higher on diets containing low %protein. This result indicates that tight protein regulation can be responsible for excess energy ingestion and higher fat deposition when the diet contains low %protein.
Authors: Michael Kearney; Stephen J Simpson; David Raubenheimer; Brian Helmuth Journal: Philos Trans R Soc Lond B Biol Sci Date: 2010-11-12 Impact factor: 6.237
Authors: Samantha M Solon-Biet; Aisling C McMahon; J William O Ballard; Kari Ruohonen; Lindsay E Wu; Victoria C Cogger; Alessandra Warren; Xin Huang; Nicolas Pichaud; Richard G Melvin; Rahul Gokarn; Mamdouh Khalil; Nigel Turner; Gregory J Cooney; David A Sinclair; David Raubenheimer; David G Le Couteur; Stephen J Simpson Journal: Cell Metab Date: 2014-03-04 Impact factor: 27.287
Authors: Alistair M Senior; Samantha M Solon-Biet; Victoria C Cogger; David G Le Couteur; Shinichi Nakagawa; David Raubenheimer; Stephen J Simpson Journal: Proc Biol Sci Date: 2019-05-15 Impact factor: 5.349