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Obesity (Silver Spring). 2017 Nov;25(11):1844-1851. doi: 10.1002/oby.21939.

The Food Environment, Preference, and Experience Modulate the Effects of Exendin-4 on Food Intake and Reward.

Author information

1
Center for Integrative Medicine and Innovative Science, Facultad de Medicina, Universidad Andres Bello, Santiago, Chile.
2
Department of Mathematics, Facultad de Ciencias Exactas, Universidad Andres Bello, Santiago, Chile.
3
Department of Nutritional Sciences, University of Arizona, Tucson, Arizona, USA.
4
Minnesota Obesity Center, University of Minnesota, Saint Paul, Minnesota, USA.
5
Department of Food Science and Nutrition, University of Minnesota, Saint Paul, Minnesota, USA.
6
Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota, USA.

Abstract

OBJECTIVE:

The obesogenic food environment facilitates access to multiple palatable foods. Exendin-4 (EX4) is a glucagon-like peptide 1 receptor (GLP1R) agonist that inhibits food intake and has been proposed as an obesity therapy. This study tested whether the composition of the food environment and experience with palatable foods modulate the effects of EX4 on food intake and reward.

METHODS:

Mice fed a cafeteria (CAF) or control diet were tested for the anorectic effects of EX4 when simultaneously offered foods of varying individual preference and in a conditioned place preference (CPP) test for chocolate. Plasma glucagon-like peptide 1 (GLP1) and hypothalamic GLP1R mRNA were analyzed post mortem.

RESULTS:

Mice fed a CAF diet developed individual food preference patterns. Offering mice either novel or highly preferred foods decreased the potency of EX4 to inhibit food intake compared to low preference foods or chow. Compared to the control diet, CAF diet intake blocked the decrease in chocolate CPP caused by EX4 and decreased the expression of hypothalamic GLP1R mRNA without altering the plasma GLP1 concentration.

CONCLUSIONS:

The composition of the food environment, food preference, and experience modulate the ability of EX4 to inhibit food intake and reward. These data highlight the significance of modeling the complexity of the human food environment in preclinical obesity studies.

PMID:
29086500
DOI:
10.1002/oby.21939
[Indexed for MEDLINE]
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