Literature DB >> 23625647

Sex differences in binge eating patterns in male and female adult rats.

Kelly L Klump1, Sarah Racine, Britny Hildebrandt, Cheryl L Sisk.   

Abstract

OBJECTIVE: Several efforts are underway to model binge eating in animals in order to advance neurobiological models of risk. However, knowledge of sex differences in these models is currently lacking. The goal of the present study was to examine sex differences in binge eating phenotypes using a well-established rodent model (i.e., the binge eating resistant/binge eating prone model).
METHOD: Thirty male and 30 female adult Sprague-Dawley rats were exposed to feeding tests consisting of intermittent access to palatable food (PF). Rats were then categorized as binge eating prone (BEP) based on the amount and consistency of PF consumption across tests.
RESULTS: Across multiple methods for BEP classification, rates of BEP phenotypes were two to six times higher in female than male rats. DISCUSSION: Findings provide support for sex differences in rodent models of binge eating and highlight the promise of the BER/BEP model for understanding neurobiological mechanisms underlying sex differences in risk.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  animal models; binge eating; binge eating disorder; bulimia; eating disorders; nervosa; rodents; sex differences

Mesh:

Year:  2013        PMID: 23625647     DOI: 10.1002/eat.22139

Source DB:  PubMed          Journal:  Int J Eat Disord        ISSN: 0276-3478            Impact factor:   4.861


  36 in total

Review 1.  Shared and unique mechanisms underlying binge eating disorder and addictive disorders.

Authors:  Erica M Schulte; Carlos M Grilo; Ashley N Gearhardt
Journal:  Clin Psychol Rev       Date:  2016-02-04

2.  Binge-like consumption of a palatable food accelerates habitual control of behavior and is dependent on activation of the dorsolateral striatum.

Authors:  Teri M Furlong; Hirosha K Jayaweera; Bernard W Balleine; Laura H Corbit
Journal:  J Neurosci       Date:  2014-04-02       Impact factor: 6.167

3.  The duration of intermittent access to preferred sucrose-rich food affects binge-like intake, fat accumulation, and fasting glucose in male rats.

Authors:  A D Kreisler; M Mattock; E P Zorrilla
Journal:  Appetite       Date:  2018-07-29       Impact factor: 3.868

Review 4.  Sexes on the brain: Sex as multiple biological variables in the neuronal control of feeding.

Authors:  Megan G Massa; Stephanie M Correa
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2020-05-16       Impact factor: 5.187

5.  Ovarian Hormone Influences on Dysregulated Eating: A Comparison of Associations in Women with versus without Binge Episodes.

Authors:  Kelly L Klump; Sarah E Racine; Britny Hildebrandt; S Alexandra Burt; Michael Neale; Cheryl L Sisk; Steven Boker; Pamela K Keel
Journal:  Clin Psychol Sci       Date:  2014-09-01

Review 6.  Current considerations regarding food addiction.

Authors:  Erica M Schulte; Michelle A Joyner; Marc N Potenza; Carlos M Grilo; Ashley N Gearhardt
Journal:  Curr Psychiatry Rep       Date:  2015-04       Impact factor: 5.285

7.  Hedonic Eating: Sex Differences and Characterization of Orexin Activation and Signaling.

Authors:  Laura Buczek; Jennifer Migliaccio; Gorica D Petrovich
Journal:  Neuroscience       Date:  2020-04-10       Impact factor: 3.590

Review 8.  Emotional Eating, Binge Eating and Animal Models of Binge-Type Eating Disorders.

Authors:  Robert Turton; Rayane Chami; Janet Treasure
Journal:  Curr Obes Rep       Date:  2017-06

Review 9.  Sex Differences in Obesity and Mental Health.

Authors:  Jena Shaw Tronieri; Courtney McCuen Wurst; Rebecca L Pearl; Kelly C Allison
Journal:  Curr Psychiatry Rep       Date:  2017-06       Impact factor: 5.285

10.  Removal of high-fat diet after chronic exposure drives binge behavior and dopaminergic dysregulation in female mice.

Authors:  Jesse L Carlin; Sarah E McKee; Tiffany Hill-Smith; Nicola M Grissom; Robert George; Irwin Lucki; Teresa M Reyes
Journal:  Neuroscience       Date:  2016-04-08       Impact factor: 3.590

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