Evidence map›Paper›PMID 40523435›Full record

ReviewPhysiology & behavior2025

Preferences for fat, sugar, and oral-sensory food qualities in monkeys and humans.

Fei-Yang Huang, Fabian Grabenhorst

Abstract readReview
In one paragraph

Review in Physiology & behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Fei-Yang HuangDepartment of Experimental Psychology, University of Oxford, Mansfield Road, Oxford OX1 3TA, United Kingdom.
Fabian GrabenhorstDepartment of Experimental Psychology, University of Oxford, Mansfield Road, Oxford OX1 3TA, United Kingdom. Electronic address: fabian.grabenhorst@psy.ox.ac.uk.

Funding

Wellcome Trust 206207Wellcome Trust 227608
6 · The paper itself

Abstract

In humans and other primates, food intake depends on sophisticated, individualized preferences for nutrients and oral-sensory food qualities that guide decision-making and eating behavior. The neural and behavioral mechanisms for such primate-typical food preferences remain poorly understood, despite their importance for human health and their targeting by pharmacological obesity treatments. Here, we review a series of experiments that investigated how the biologically critical properties of foods-their nutrients (sugar, fat, protein) and oral-sensory qualities (viscosity, oral sliding friction)-influence food preferences in monkeys and humans. In an economic nutrient-choice paradigm, macaques flexibly trade nutrients and oral-sensory food qualities against varying food amounts, consistent with the assignment of subjective values. Nutrient-value functions that link objective nutrient content to subjective values accurately model these preferences, predict choices across contexts, and explain individual differences. The monkeys' aggregated choice patterns resulting from their nutrient preferences lead to daily nutrient balances that deviate from dietary reference points, resembling suboptimal human eating patterns when exposed to high-calorie foods. To investigate the sensory basis underlying nutrient values, we developed novel engineering tools that quantify food textures on oral surfaces, using fresh pig tongues. Oral-texture (i.e., mouthfeel) parameters, including viscosity and sliding friction, were shown to mediate monkeys' preferences for high-fat foods. When translated to human subjects, this approach revealed a neural mechanism for preferring high-fat foods from oral texture in the orbitofrontal cortex (OFC)-a key reward system of the brain. Importantly, human OFC responses to oral sliding friction in individual subjects-measured in the MRI scanner-predicted subsequent fat intake in a naturalistic, life-like eating test. These findings suggest that a primate nutrient-reward paradigm offers a promising approach for investigating the behavioral and neural mechanisms for human-typical food reward and food choice, to advance understanding of human eating behavior, overeating, and obesity.

Indexed as

Dietary FatsFood PreferencesAnimalsChoice BehaviorHumansDietary FatsDietingFood choiceNonhuman primatesNutrientsObesityOral textureReinforcement learning

Identifiers

PMID40523435
PMCPMC7618720

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.