Frontiers in Nutrition (Mar 2022)
Increased Variation in Body Weight and Food Intake Is Related to Increased Dietary Fat but Not Increased Carbohydrate or Protein in Mice
- Yingga Wu,
- Yingga Wu,
- Yingga Wu,
- Sumei Hu,
- Sumei Hu,
- Dengbao Yang,
- Li Li,
- Li Li,
- Baoguo Li,
- Baoguo Li,
- Lu Wang,
- Lu Wang,
- Lu Wang,
- Min Li,
- Min Li,
- Min Li,
- Min Li,
- Guanlin Wang,
- Guanlin Wang,
- Guanlin Wang,
- Jianbo Li,
- Yanchao Xu,
- Xueying Zhang,
- Xueying Zhang,
- Xueying Zhang,
- Xueying Zhang,
- Chaoqun Niu,
- Chaoqun Niu,
- John R. Speakman,
- John R. Speakman,
- John R. Speakman,
- John R. Speakman
Affiliations
- Yingga Wu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Yingga Wu
- University of Chinese Academy of Sciences, Beijing, China
- Yingga Wu
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom
- Sumei Hu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Sumei Hu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing, China
- Dengbao Yang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Li Li
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Li Li
- University of Chinese Academy of Sciences, Beijing, China
- Baoguo Li
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Baoguo Li
- University of Chinese Academy of Sciences, Beijing, China
- Lu Wang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Lu Wang
- University of Chinese Academy of Sciences, Beijing, China
- Lu Wang
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom
- Min Li
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Min Li
- University of Chinese Academy of Sciences, Beijing, China
- Min Li
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom
- Min Li
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Guanlin Wang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Guanlin Wang
- University of Chinese Academy of Sciences, Beijing, China
- Guanlin Wang
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom
- Jianbo Li
- University of Dali, Dali, China
- Yanchao Xu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Xueying Zhang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Xueying Zhang
- University of Chinese Academy of Sciences, Beijing, China
- Xueying Zhang
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom
- Xueying Zhang
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Chaoqun Niu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Chaoqun Niu
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- John R. Speakman
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- John R. Speakman
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom
- John R. Speakman
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- John R. Speakman
- CAS Center of Excellence in Animal Evolution and Genetics, Kunming, China
- DOI
- https://doi.org/10.3389/fnut.2022.835536
- Journal volume & issue
-
Vol. 9
Abstract
A variety of inbred mouse strains have been used for research in metabolic disorders. Despite being inbred, they display large inter-individual variability for many traits like food intake and body weight. However, the relationship between dietary macronutrients and inter-individual variation in body weight and food intake of different mouse strains is still unclear. We investigated the association between macronutrient content of the diet and variations in food intake, body composition, and glucose tolerance by exposing five different mouse strains (C57BL/6, BALB/c, C3H, DBA/2, and FVB) to 24 different diets with variable protein, fat, and carbohydrate contents. We found only increasing dietary fat, but not protein or carbohydrate had a significant association (positive) with variation in both food intake and body weight. The highest variation in both body weight and food intake occurred with 50% dietary fat. However, there were no significant relationships between the variation in fat and lean mass with dietary protein, fat, or carbohydrate levels. In addition, none of the dietary macronutrients had significant impacts on the variation in glucose tolerance ability in C57BL/6 mice. In conclusion, the variations in food intake and body weight changes increased with the elevation of dietary fat levels.
Keywords
