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Related Experiment Video

Updated: Nov 14, 2025

Fat Preference: A Novel Model of Eating Behavior in Rats
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Diet Protein Content and Individual Phenotype Affect Food Intake and Protein Appetence in Rats.

Gaëlle Champeil-Potokar1, Lucas Crossouard1, Nathalie Jérôme1

  • 1Physiology of Nutrition and Feeding Behavior Unit (PNCA, UMR 0914), University of Paris-Saclay-AgroParisTech-National Research Institute for Agriculture, Food and Environment (INRAE), Paris, France.

The Journal of Nutrition
|March 11, 2021
PubMed
Summary

A low-protein diet increases food intake and obesity risk in rats. Protein appetite is driven by low protein status or individual preferences, necessitating consideration in dietary guidelines.

Keywords:
appetence for proteinfood preferencefood self-selectionhyperphagialow protein consumptionolfactory tuberclerewardultrasonic vocalizations

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Area of Science:

  • Nutritional Science
  • Animal Behavior
  • Neuroscience

Background:

  • Low-protein diets can lead to compensatory overeating and potential obesity.
  • Dietary recommendations to reduce animal protein require evaluation for obesogenic risks.

Purpose of the Study:

  • To characterize behavioral and physiological responses to reduced dietary protein.
  • To identify the drivers of protein appetite.

Main Methods:

  • Thirty-two male Wistar rats were fed low-protein (6%) or normal-protein (20%) diets for 8 weeks.
  • Food intake, body mass, and food preferences (LP, NP, HP) were assessed.
  • Hedonic responses (ultrasonic vocalizations) and neuronal activation (c-Fos) were measured post-meal.

Main Results:

  • Low-protein diet rats exhibited increased food intake, body weight, and visceral adiposity.
  • Both low-protein and half of normal-protein rats preferred high-protein foods, indicating individual preference.
  • No specific neural or hedonic response distinguished protein appetite between diet groups.

Conclusions:

  • Protein appetite is influenced by protein deficiency and individual preferences in rats.
  • These findings are crucial for understanding risks associated with reduced protein intake recommendations.