Literature DB >> 22465846

Flavour-nutrient learning in humans: an elusive phenomenon?

Martin R Yeomans1.   

Abstract

One widely cited model of how humans acquire liking for different foods is flavour-nutrient learning, where associations between the orosensory properties of the ingested food or drink (the flavour CS) and positive consequences of nutrient ingestion (the UCS) lead to acquired liking for the flavour (flavour-nutrient hedonic learning: FNL-H). Likewise, an association between the CS and the post-ingestive effects of ingested nutrients has been suggested to lead to learning about how satiating a particular food is (flavour-nutrient satiety learning: FNSH). However, whereas there is evidence for both FNL-H and FNL-S in experimental studies with non-human animals, evidence in humans is less convincing, with many failures to find the predicted changes in liking, preference or intake following repeated flavour-nutrient pairings. The present short review considers how subtle differences in experimental design might underlie this inconsistency, and identifies key design features which appear to increase the likelihood of success in human flavour-nutrient learning studies. Key factors include CS novelty, the level of nutrients ingested during training, the appetitive state of the consumer and individual consumer characteristics. A further complication is competition between FNL-H and FNL-S, and with other associations such as flavour-flavour learning. From this it is possible to make important inferences about the nature of human flavour-nutrient learning which firstly suggest that it has important similarities to that seen in other species, but secondly that the laboratory investigations of both FNL-H and FNL-S in humans can be compromised by subtle but important variations in experimental design.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22465846     DOI: 10.1016/j.physbeh.2012.03.013

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


  16 in total

Review 1.  Gut-brain nutrient signaling. Appetition vs. satiation.

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Journal:  Appetite       Date:  2012-06-01       Impact factor: 3.868

Review 2.  From appetite setpoint to appetition: 50years of ingestive behavior research.

Authors:  Anthony Sclafani
Journal:  Physiol Behav       Date:  2018-01-02

3.  Rewarding behavior with a sweet food strengthens its valuation.

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Journal:  PLoS One       Date:  2021-04-14       Impact factor: 3.240

4.  Integration of Sweet Taste and Metabolism Determines Carbohydrate Reward.

Authors:  Maria Geraldine Veldhuizen; Richard Keith Babbs; Barkha Patel; Wambura Fobbs; Nils B Kroemer; Elizabeth Garcia; Martin R Yeomans; Dana M Small
Journal:  Curr Biol       Date:  2017-08-10       Impact factor: 10.834

5.  What Does the Taste System Tell Us About the Nutritional Composition and Toxicity of Foods?

Authors:  John I Glendinning
Journal:  Handb Exp Pharmacol       Date:  2022

6.  Post-oral glucose stimulation of intake and conditioned flavor preference in C57BL/6J mice: a concentration-response study.

Authors:  Steven Zukerman; Karen Ackroff; Anthony Sclafani
Journal:  Physiol Behav       Date:  2012-11-28

7.  Association analysis of bitter receptor genes in five isolated populations identifies a significant correlation between TAS2R43 variants and coffee liking.

Authors:  Nicola Pirastu; Maarten Kooyman; Michela Traglia; Antonietta Robino; Sara M Willems; Giorgio Pistis; Pio d'Adamo; Najaf Amin; Angela d'Eustacchio; Luciano Navarini; Cinzia Sala; Lennart C Karssen; Cornelia van Duijn; Daniela Toniolo; Paolo Gasparini
Journal:  PLoS One       Date:  2014-03-19       Impact factor: 3.240

8.  Effect of replacing sugar with non-caloric sweeteners in beverages on the reward value after repeated exposure.

Authors:  Sanne Griffioen-Roose; Paul A M Smeets; Pascalle L G Weijzen; Inge van Rijn; Iris van den Bosch; Cees de Graaf
Journal:  PLoS One       Date:  2013-11-28       Impact factor: 3.240

Review 9.  Factors that determine energy compensation: a systematic review of preload studies.

Authors:  Eva Almiron-Roig; Luigi Palla; Kathryn Guest; Cassandra Ricchiuti; Neil Vint; Susan A Jebb; Adam Drewnowski
Journal:  Nutr Rev       Date:  2013-06-10       Impact factor: 7.110

Review 10.  Does low-energy sweetener consumption affect energy intake and body weight? A systematic review, including meta-analyses, of the evidence from human and animal studies.

Authors:  P J Rogers; P S Hogenkamp; C de Graaf; S Higgs; A Lluch; A R Ness; C Penfold; R Perry; P Putz; M R Yeomans; D J Mela
Journal:  Int J Obes (Lond)       Date:  2015-09-14       Impact factor: 5.095

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