Evidence map›Paper›PMID 42157407›Full record

ReviewObesity reviews : an official journal of the International Association for the Study of Obesity2026

Protein Decoys, Alcohol, and Energy Intake: Testing a Mechanistic-Ecological Model.

Amanda Grech, Stephen J Simpson, David Raubenheimer

Abstract readReview
In one paragraph

Review in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

3 authors.

Amanda GrechCharles Perkins Centre, University of Sydney, NSW, Australia.
Stephen J SimpsonCharles Perkins Centre, University of Sydney, NSW, Australia.
David RaubenheimerCharles Perkins Centre, University of Sydney, NSW, Australia.

Funding

National Health and Medical Research Council, Australia, Nutrition and Complexity Program Grant GNT1149976
6 · The paper itself

Abstract

Ultra-processed diets are associated with excessive energy intake, but studies examining the role of alcohol have produced conflicting results, despite the high energy density of ethanol. We constructed a mechanistic-ecological model to explain this inconsistency and tested its predictions using population dietary data. The model builds on experimentally established mechanisms to predict that, whereas alcohol will contribute ethanol calories irrespective of diet, its impact on total macronutrient energy intake varies depending on dietary pattern. Alcohol consumption stimulates FGF21, a hormone that increases savory (umami) preference and reduces sweet preference. In minimally processed food environments-where umami flavor is a relatively reliable indicator of protein in foods-umami-seeking should direct consumers toward satiating, high-protein foods, with limited effect on macronutrient energy intake. In contrast, on diets rich in ultra-processed savory foods and/or high-fat unprocessed meats, the correlation between umami flavor characteristics and protein is broken by umami-flavored low-protein foods (protein decoys), so alcohol instead drives dietary protein dilution and, through attenuated protein satiation, increased food and macronutrient energy intake (protein leverage). Mixture analysis paired with nutritional geometry confirmed these predictions in population data, suggesting the model may generalize to ecological contexts. Our results potentially explain why alcohol has variable effects on energy balance across dietary patterns and suggest that it exacerbates the obesogenic effects of ultra-processed diets-a potentially important interaction given their global rise.

Indexed as

Alcohol DrinkingDietary ProteinsEnergy IntakeEthanolFibroblast Growth FactorsFood PreferencesHumansObesityDietary ProteinsEthanolfibroblast growth factor 21Fibroblast Growth Factorsalcoholenergy balanceprotein

Identifiers

PMID42157407
PMCPMC13551414

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.