Literature DB >> 33910835

Higher Branched-chain Amino Acids and Lower Serine Exist in the Plasma of Nondiabetic Mice: A Comparison Between High- and Low-protein Diet Conditions.

Emi Arimura1,2, Miharu Ushikai2, Masahisa Horiuchi3.   

Abstract

BACKGROUND/AIM: The effects of dietary protein and carbohydrate content on the plasma amino acid profile of patients with diabetes are not fully understood. Therefore, we examined whether there are effects of diets with differing proportions of protein and carbohydrate on the plasma amino acid concentrations of control (CT) mice and mice with type 2 diabetes (db).
MATERIALS AND METHODS: We used db mice as an animal model of type 2 diabetes which are genetically deficient in leptin receptor. Diets with differing proportions of protein and carbohydrates (L diet: low protein/carbohydrate ratio, H diet: high protein/carbohydrate ratio) were supplied. db Mice were fed with a restriction on the basis of the consumption by CT-L mice, such that equivalent amounts of energy and fat were consumed. In CT mice fed the L or H diets, there was no significant difference in ad libitum food intake.
RESULTS: There were significant interactions between diet and genotype with respect to water intake, urine volume, urinary glucose concentration, and plasma isoleucine, leucine, valine, branched-chain amino acids, and serine concentrations. db-H mice showed significantly higher water intake, urine volume, and urinary glucose than db-L mice. db Mice fed the L or H diets had similar plasma amino acid profiles, except for valine. In contrast, CT-H mice showed significantly higher valine and branched-chain amino acids and lower serine concentrations than CT-L mice. Thus, the CT-H mice were more similar to db mice fed either of the diets.
CONCLUSION: There were different effects of the dietary protein or carbohydrate content on the plasma amino acid profiles between nondiabetic and diabetic mice. In particular, the profiles in nondiabetic conditions were different between the low- and high-protein diet conditions. Copyright
© 2021, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Branched-chain amino acids; diabetic conditions; dietary protein; gluconeogenesis; mice

Mesh:

Substances:

Year:  2021        PMID: 33910835      PMCID: PMC8193297          DOI: 10.21873/invivo.12410

Source DB:  PubMed          Journal:  In Vivo        ISSN: 0258-851X            Impact factor:   2.155


  28 in total

1.  Distinctive postprandial modulation of beta cell function and insulin sensitivity by dietary fats: monounsaturated compared with saturated fatty acids.

Authors:  Sergio López; Beatriz Bermúdez; Yolanda M Pacheco; José Villar; Rocío Abia; Francisco J G Muriana
Journal:  Am J Clin Nutr       Date:  2008-09       Impact factor: 7.045

2.  Dietary protein intake and risk of type 2 diabetes: a dose-response meta-analysis of prospective studies.

Authors:  Long-Gang Zhao; Qing-Li Zhang; Xiao-Li Liu; Hua Wu; Jia-Li Zheng; Yong-Bing Xiang
Journal:  Eur J Nutr       Date:  2018-06-01       Impact factor: 5.614

3.  Quantitative Analysis of the Whole-Body Metabolic Fate of Branched-Chain Amino Acids.

Authors:  Michael D Neinast; Cholsoon Jang; Sheng Hui; Danielle S Murashige; Qingwei Chu; Raphael J Morscher; Xiaoxuan Li; Le Zhan; Eileen White; Tracy G Anthony; Joshua D Rabinowitz; Zoltan Arany
Journal:  Cell Metab       Date:  2018-11-15       Impact factor: 27.287

4.  Metabolite profiles and the risk of developing diabetes.

Authors:  Thomas J Wang; Martin G Larson; Ramachandran S Vasan; Susan Cheng; Eugene P Rhee; Elizabeth McCabe; Gregory D Lewis; Caroline S Fox; Paul F Jacques; Céline Fernandez; Christopher J O'Donnell; Stephen A Carr; Vamsi K Mootha; Jose C Florez; Amanda Souza; Olle Melander; Clary B Clish; Robert E Gerszten
Journal:  Nat Med       Date:  2011-03-20       Impact factor: 53.440

5.  Molecular hydrogen improves obesity and diabetes by inducing hepatic FGF21 and stimulating energy metabolism in db/db mice.

Authors:  Naomi Kamimura; Kiyomi Nishimaki; Ikuroh Ohsawa; Shigeo Ohta
Journal:  Obesity (Silver Spring)       Date:  2011-02-03       Impact factor: 5.002

Review 6.  Protein in optimal health: heart disease and type 2 diabetes.

Authors:  Donald K Layman; Peter Clifton; Mary C Gannon; Ronald M Krauss; Frank Q Nuttall
Journal:  Am J Clin Nutr       Date:  2008-05       Impact factor: 7.045

7.  Deteriorated glucose metabolism with a high-protein, low-carbohydrate diet in db mice, an animal model of type 2 diabetes, might be caused by insufficient insulin secretion.

Authors:  Emi Arimura; Wijang Pralampita Pulong; Ancah Caesarina Novi Marchianti; Miwa Nakakuma; Masaharu Abe; Miharu Ushikai; Masahisa Horiuchi
Journal:  Eur J Nutr       Date:  2015-10-24       Impact factor: 5.614

8.  Evidence that the diabetes gene encodes the leptin receptor: identification of a mutation in the leptin receptor gene in db/db mice.

Authors:  H Chen; O Charlat; L A Tartaglia; E A Woolf; X Weng; S J Ellis; N D Lakey; J Culpepper; K J Moore; R E Breitbart; G M Duyk; R I Tepper; J P Morgenstern
Journal:  Cell       Date:  1996-02-09       Impact factor: 41.582

9.  Plasma Free Amino Acid Profiles Predict Four-Year Risk of Developing Diabetes, Metabolic Syndrome, Dyslipidemia, and Hypertension in Japanese Population.

Authors:  Minoru Yamakado; Kenji Nagao; Akira Imaizumi; Mizuki Tani; Akiko Toda; Takayuki Tanaka; Hiroko Jinzu; Hiroshi Miyano; Hiroshi Yamamoto; Takashi Daimon; Katsuhisa Horimoto; Yuko Ishizaka
Journal:  Sci Rep       Date:  2015-07-09       Impact factor: 4.379

10.  A branched-chain amino acid metabolite drives vascular fatty acid transport and causes insulin resistance.

Authors:  Cholsoon Jang; Sungwhan F Oh; Shogo Wada; Glenn C Rowe; Laura Liu; Mun Chun Chan; James Rhee; Atsushi Hoshino; Boa Kim; Ayon Ibrahim; Luisa G Baca; Esl Kim; Chandra C Ghosh; Samir M Parikh; Aihua Jiang; Qingwei Chu; Daniel E Forman; Stewart H Lecker; Saikumari Krishnaiah; Joshua D Rabinowitz; Aalim M Weljie; Joseph A Baur; Dennis L Kasper; Zoltan Arany
Journal:  Nat Med       Date:  2016-03-07       Impact factor: 53.440

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.