Literature DB >> 22643031

Peripheral and central mechanisms involved in the control of food intake by dietary amino acids and proteins.

Gilles Fromentin1, Nicolas Darcel, Catherine Chaumontet, Agnes Marsset-Baglieri, Nachiket Nadkarni, Daniel Tomé.   

Abstract

The present review summarises current knowledge and recent findings on the modulation of appetite by dietary protein, via both peripheral and central mechanisms. Of the three macronutrients, proteins are recognised as the strongest inhibitor of food intake. The well-recognised poor palatability of proteins is not the principal mechanism explaining the decrease in high-protein (HP) diet intake. Consumption of a HP diet does not induce conditioned food aversion, but rather experience-enhanced satiety. Amino acid consumption is detected by multiple and redundant mechanisms originating from visceral (during digestion) and metabolic (inter-prandial period) sources, recorded both directly and indirectly (mainly vagus-mediated) by the central nervous system (CNS). Peripherally, the satiating effect of dietary proteins appears to be mediated by anorexigenic gut peptides, principally cholecystokinin, glucagon-like peptide-1 and peptide YY. In the CNS, HP diets trigger the activation of noradrenergic and adrenergic neurons in the nucleus of the solitary tract and melanocortin neurons in the arcuate nucleus. Additionally, there is evidence that circulating leucine levels may modulate food intake. Leucine is associated with neural mechanisms involving mammalian target of rapamycin (mTOR) and AMP-activated protein kinase (AMPK), energy sensors active in the control of energy intake, at least in the arcuate nucleus of the hypothalamus. In addition, HP diets inhibit the activation of opioid and GABAergic neurons in the nucleus accumbens, and thus inhibit food intake by reducing the hedonic response to food, presumably because of their low palatability. Future studies should concentrate on studying the adaptation of different neural circuits following the ingestion of protein diets.

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Year:  2012        PMID: 22643031     DOI: 10.1017/S0954422411000175

Source DB:  PubMed          Journal:  Nutr Res Rev        ISSN: 0954-4224            Impact factor:   7.800


  46 in total

1.  Glucagon signalling in the dorsal vagal complex is sufficient and necessary for high-protein feeding to regulate glucose homeostasis in vivo.

Authors:  Mary P LaPierre; Mona A Abraham; Jessica T Y Yue; Beatrice M Filippi; Tony K T Lam
Journal:  EMBO Rep       Date:  2015-08-19       Impact factor: 8.807

Review 2.  Whey protein: The "whey" forward for treatment of type 2 diabetes?

Authors:  Linda E Mignone; Tongzhi Wu; Michael Horowitz; Christopher K Rayner
Journal:  World J Diabetes       Date:  2015-10-25

Review 3.  Brain responses to high-protein diets.

Authors:  Marion Journel; Catherine Chaumontet; Nicolas Darcel; Gilles Fromentin; Daniel Tomé
Journal:  Adv Nutr       Date:  2012-05-01       Impact factor: 8.701

Review 4.  Food protein-derived bioactive peptides in management of type 2 diabetes.

Authors:  Prasad Patil; Surajit Mandal; Sudhir Kumar Tomar; Santosh Anand
Journal:  Eur J Nutr       Date:  2015-07-08       Impact factor: 5.614

5.  Dietary whey protein influences plasma satiety-related hormones and plasma amino acids in normal-weight adult women.

Authors:  S M S Chungchunlam; S J Henare; S Ganesh; P J Moughan
Journal:  Eur J Clin Nutr       Date:  2015-01-07       Impact factor: 4.016

6.  The ratio of macronutrients, not caloric intake, dictates cardiometabolic health, aging, and longevity in ad libitum-fed mice.

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

7.  High-protein diet selectively reduces fat mass and improves glucose tolerance in Western-type diet-induced obese rats.

Authors:  Andreas Stengel; Miriam Goebel-Stengel; Lixin Wang; Eugenia Hu; Hiroshi Karasawa; Joseph R Pisegna; Yvette Taché
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2013-07-24       Impact factor: 3.619

8.  Enantiomer-specific selection of amino acids.

Authors:  Xueying Ren; Luis A Tellez; Ivan E de Araujo
Journal:  Amino Acids       Date:  2013-09-27       Impact factor: 3.520

9.  High-protein diet improves sensitivity to cholecystokinin and shifts the cecal microbiome without altering brain inflammation in diet-induced obesity in rats.

Authors:  Lixin Wang; Jonathan P Jacobs; Venu Lagishetty; Pu-Qing Yuan; Shuping V Wu; Mulugeta Million; Joseph R Reeve; Joseph R Pisegna; Yvette Taché
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2017-07-19       Impact factor: 3.619

10.  Specific amino acids inhibit food intake via the area postrema or vagal afferents.

Authors:  Josua Jordi; Brigitte Herzog; Simone M R Camargo; Christina N Boyle; Thomas A Lutz; François Verrey
Journal:  J Physiol       Date:  2013-07-29       Impact factor: 5.182

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