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Learning of food preferences: mechanisms and implications for obesity & metabolic diseases

Omnivores, including rodents and humans, compose their diets from a wide variety of potential foods. Beyond the guidance of a few basic orosensory biases such as attraction to sweet and avoidance of bitter, they have limited innate dietary knowledge and must learn to prefer foods based on their flav...

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Autores principales: Berthoud, Hans-Rudolf, Morrison, Christopher D., Ackroff, Karen, Sclafani, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455326/
https://www.ncbi.nlm.nih.gov/pubmed/34230576
http://dx.doi.org/10.1038/s41366-021-00894-3
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author Berthoud, Hans-Rudolf
Morrison, Christopher D.
Ackroff, Karen
Sclafani, Anthony
author_facet Berthoud, Hans-Rudolf
Morrison, Christopher D.
Ackroff, Karen
Sclafani, Anthony
author_sort Berthoud, Hans-Rudolf
collection PubMed
description Omnivores, including rodents and humans, compose their diets from a wide variety of potential foods. Beyond the guidance of a few basic orosensory biases such as attraction to sweet and avoidance of bitter, they have limited innate dietary knowledge and must learn to prefer foods based on their flavors and postoral effects. This review focuses on postoral nutrient sensing and signaling as an essential part of the reward system that shapes preferences for the associated flavors of foods. We discuss the extensive array of sensors in the gastrointestinal system and the vagal pathways conveying information about ingested nutrients to the brain. Earlier studies of vagal contributions were limited by nonselective methods that could not easily distinguish the contributions of subsets of vagal afferents. Recent advances in technique have generated substantial new details on sugar- and fat-responsive signaling pathways. We explain methods for conditioning flavor preferences and their use in evaluating gut–brain communication. The SGLT1 intestinal sugar sensor is important in sugar conditioning; the critical sensors for fat are less certain, though GPR40 and 120 fatty acid sensors have been implicated. Ongoing work points to particular vagal pathways to brain reward areas. An implication for obesity treatment is that bariatric surgery may alter vagal function.
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spelling pubmed-84553262021-10-07 Learning of food preferences: mechanisms and implications for obesity & metabolic diseases Berthoud, Hans-Rudolf Morrison, Christopher D. Ackroff, Karen Sclafani, Anthony Int J Obes (Lond) Review Article Omnivores, including rodents and humans, compose their diets from a wide variety of potential foods. Beyond the guidance of a few basic orosensory biases such as attraction to sweet and avoidance of bitter, they have limited innate dietary knowledge and must learn to prefer foods based on their flavors and postoral effects. This review focuses on postoral nutrient sensing and signaling as an essential part of the reward system that shapes preferences for the associated flavors of foods. We discuss the extensive array of sensors in the gastrointestinal system and the vagal pathways conveying information about ingested nutrients to the brain. Earlier studies of vagal contributions were limited by nonselective methods that could not easily distinguish the contributions of subsets of vagal afferents. Recent advances in technique have generated substantial new details on sugar- and fat-responsive signaling pathways. We explain methods for conditioning flavor preferences and their use in evaluating gut–brain communication. The SGLT1 intestinal sugar sensor is important in sugar conditioning; the critical sensors for fat are less certain, though GPR40 and 120 fatty acid sensors have been implicated. Ongoing work points to particular vagal pathways to brain reward areas. An implication for obesity treatment is that bariatric surgery may alter vagal function. Nature Publishing Group UK 2021-07-06 2021 /pmc/articles/PMC8455326/ /pubmed/34230576 http://dx.doi.org/10.1038/s41366-021-00894-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Berthoud, Hans-Rudolf
Morrison, Christopher D.
Ackroff, Karen
Sclafani, Anthony
Learning of food preferences: mechanisms and implications for obesity & metabolic diseases
title Learning of food preferences: mechanisms and implications for obesity & metabolic diseases
title_full Learning of food preferences: mechanisms and implications for obesity & metabolic diseases
title_fullStr Learning of food preferences: mechanisms and implications for obesity & metabolic diseases
title_full_unstemmed Learning of food preferences: mechanisms and implications for obesity & metabolic diseases
title_short Learning of food preferences: mechanisms and implications for obesity & metabolic diseases
title_sort learning of food preferences: mechanisms and implications for obesity & metabolic diseases
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455326/
https://www.ncbi.nlm.nih.gov/pubmed/34230576
http://dx.doi.org/10.1038/s41366-021-00894-3
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