Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

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

Amanda Lee Grech; Stephen J. Simpson; David Raubenheimer

Obesity Reviews · 2026

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Summary

This paper presents a mechanistic-ecological model explaining why alcohol consumption has inconsistent effects on energy intake across dietary patterns. The model predicts that alcohol stimulates FGF21, shifting flavour preferences toward umami; in minimally processed food environments this drives protein-seeking and satiating effects, but in ultra-processed diets rich in umami-flavoured low-protein 'decoy' foods, alcohol instead promotes protein dilution and excess energy intake through attenuated satiation. Population dietary data analysis supported these predictions, suggesting alcohol exacerbates the obesogenic effects of ultra-processed food systems.

Regional applicability

The mechanistic findings are globally relevant given the rising prevalence of ultra-processed diets in the United Kingdom and elsewhere. The model's ecological predictions would apply to UK food systems, where both minimally processed and ultra-processed options compete; local policy and food labelling interventions could leverage these mechanisms to mitigate alcohol's energy-promoting effects in processed-food-dominant populations.

Key measures

Dietary macronutrient energy intake, protein concentration in diet, umami flavour characteristics, FGF21 signalling, dietary pattern classification (minimally processed vs. ultra-processed)

Outcomes reported

The study tested a mechanistic-ecological model predicting how alcohol consumption affects total energy and macronutrient intake depending on dietary pattern (minimally processed vs. ultra-processed foods). Analysis of population dietary data using mixture analysis and nutritional geometry confirmed the model's predictions regarding protein leverage and FGF21-mediated flavour preference shifts.

Theme
Nutrition & health
Subject
Dietary patterns & chronic disease
Study type
Research
Study design
Mechanistic modelling with observational population dietary data analysis
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Food supply chain
DOI
10.1111/obr.70138
Catalogue ID
NRmupdc5m3-09v

Topic tags

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