Literature DB >> 15234184

Mind versus metabolism in the control of food intake and energy balance.

Hans-Rudolf Berthoud1.   

Abstract

In a restrictive food environment, the homeostatic control system regulates body weight and adiposity with remarkable precision. However, this regulation appears to break down in many genetically predisposed individuals under conditions prevailing in the modern era characterized by a sedentary lifestyle and easy availability of large portions of palatable and calorically dense food. The nervous system is the main interface by which food-related environmental factors influence the regulatory process. Thus, focusing on the neural systems located in the telencephalon dealing with environmental factors, and on their connections with the homeostatic regulatory system distributed mainly in the hypothalamus and brainstem, should result in new drug targets and behavioral strategies for prevention and therapy. The structures providing this interface with the environment are involved in the initiation, procurement, and appetitive phases of ingestive behavior and associative learning before, during, and after the consummatory phase. It is thought that learned and unlearned representations of foods and food cues in the orbitofrontal and other cortical areas are filtered for affective/emotional value in the amygdala and for motivational salience in the nucleus accumbens/ventral striatum to initiate goal-directed motor programs. Internal state signals generated by the metabolic sensing mechanisms in the hypothalamus interact with each of these corticolimbic structures through reciprocal connections. While many projections from the hypothalamus contain the various "feeding peptides," the neurochemistry of projections to the hypothalamus has not been well characterized.

Entities:  

Mesh:

Year:  2004        PMID: 15234184     DOI: 10.1016/j.physbeh.2004.04.034

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  70 in total

Review 1.  The neurohormonal regulation of energy intake in relation to bariatric surgery for obesity.

Authors:  Christopher N Ochner; Charlisa Gibson; Susan Carnell; Carl Dambkowski; Allan Geliebter
Journal:  Physiol Behav       Date:  2010-05-08

Review 2.  Developmental specification of metabolic circuitry.

Authors:  Amanda E Elson; Richard B Simerly
Journal:  Front Neuroendocrinol       Date:  2015-09-25       Impact factor: 8.606

Review 3.  Is your brain to blame for weight regain?

Authors:  Marc-Andre Cornier
Journal:  Physiol Behav       Date:  2011-04-09

Review 4.  Eating for pleasure or calories.

Authors:  Huiyuan Zheng; Hans-Rudolf Berthoud
Journal:  Curr Opin Pharmacol       Date:  2007-11-26       Impact factor: 5.547

Review 5.  Food reinforcement and eating: a multilevel analysis.

Authors:  Leonard H Epstein; John J Leddy; Jennifer L Temple; Myles S Faith
Journal:  Psychol Bull       Date:  2007-09       Impact factor: 17.737

Review 6.  Hungry for life: How the arcuate nucleus and neuropeptide Y may play a critical role in mediating the benefits of calorie restriction.

Authors:  Robin K Minor; Joy W Chang; Rafael de Cabo
Journal:  Mol Cell Endocrinol       Date:  2008-11-11       Impact factor: 4.102

Review 7.  Blaming the Brain for Obesity: Integration of Hedonic and Homeostatic Mechanisms.

Authors:  Hans-Rudolf Berthoud; Heike Münzberg; Christopher D Morrison
Journal:  Gastroenterology       Date:  2017-02-10       Impact factor: 22.682

Review 8.  Hindbrain neurons as an essential hub in the neuroanatomically distributed control of energy balance.

Authors:  Harvey J Grill; Matthew R Hayes
Journal:  Cell Metab       Date:  2012-08-16       Impact factor: 27.287

9.  Basal ganglia morphology links the metabolic syndrome and depressive symptoms.

Authors:  Ikechukwu C Onyewuenyi; Matthew F Muldoon; Israel C Christie; Kirk I Erickson; Peter J Gianaros
Journal:  Physiol Behav       Date:  2013-10-04

Review 10.  Leptin and the systems neuroscience of meal size control.

Authors:  Harvey J Grill
Journal:  Front Neuroendocrinol       Date:  2009-10-28       Impact factor: 8.606

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