Literature DB >> 33659433

An Operant Conditioning Model Combined with a Chemogenetic Approach to Study the Neurobiology of Food Addiction in Mice.

Elena Martín-García1, Laura Domingo-Rodriguez1, Rafael Maldonado1,2.   

Abstract

The study of food addiction comprises 3 hallmarks that include the persistence to response without an outcome, the strong motivation for palatable food, and the loss of inhibitory control over food intake that leads to compulsive behavior in addicted individuals. The complex multifactorial nature of this disorder and the unknown neurobiological mechanistic correlation explains the lack of effective treatments. Our operant conditioning model allows deciphering why some individuals are vulnerable and develop food addiction while others are resilient and do not. It is a translational approach since it is based on the Diagnostic and Statistical Manual of Mental Disorders 5th edition (DSM-5) and the Yale Food Addiction Scale (YFAS 2.0). This model allows to evaluate the addiction criteria in 2 time-points at an early and a late period by grouping them into 1) persistence to response during a period of non-availability of food, 2) motivation for food with a progressive ratio, and 3) compulsivity when the reward is associated with a punishment such as an electric foot-shock. The advantage of this model is that it allows us to measure 4 phenotypic traits suggested as predisposing factors related to vulnerability to addiction. Also, it is possible to evaluate the long food addiction mouse model with mice genetically modified. Importantly, the novelty of this protocol is the adaptation of this food addiction model to a short protocol to evaluate genetic manipulations targeting specific brain circuitries by using a chemogenetic approach that could promote the rapid development of this addictive behavior. These adaptations lead to a short food addiction mouse protocol, in which mice follow the same behavioral procedure of the early period in the long food addiction protocol with some variations due to the surgical viral vector injection. To our knowledge, there is no paradigm in mice allowing us to study the combination of such a robust behavioral approach that allows uncovering the neurobiology of food addiction at the brain circuit level. We can study using this protocol if modifying the excitability of a specific brain network confers resilience or vulnerability to developing food addiction. Understanding these neurobiological mechanisms is expected to help to find novel and efficient interventions to battle food addiction.
Copyright © 2020 The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Chocolate-flavored pellets; Compulsivity; Food addiction; Impulsivity; Operant conditioning; Resilience; Viral vector approach; Vulnerability

Year:  2020        PMID: 33659433      PMCID: PMC7842402          DOI: 10.21769/BioProtoc.3777

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  13 in total

1.  Genetics. Rethinking behavior genetics.

Authors:  Dean Hamer
Journal:  Science       Date:  2002-10-04       Impact factor: 47.728

2.  New operant model of reinstatement of food-seeking behavior in mice.

Authors:  Elena Martín-García; Aurelijus Burokas; Elzbieta Kostrzewa; Agnieszka Gieryk; Michal Korostynski; Barbara Ziolkowska; Barbara Przewlocka; Ryszard Przewlocki; Rafael Maldonado
Journal:  Psychopharmacology (Berl)       Date:  2010-12-14       Impact factor: 4.530

3.  Development of the Yale Food Addiction Scale Version 2.0.

Authors:  Ashley N Gearhardt; William R Corbin; Kelly D Brownell
Journal:  Psychol Addict Behav       Date:  2016-02

4.  Epigenetic and Proteomic Expression Changes Promoted by Eating Addictive-Like Behavior.

Authors:  Samantha Mancino; Aurelijus Burokas; Javier Gutiérrez-Cuesta; Miriam Gutiérrez-Martos; Elena Martín-García; Mariangela Pucci; Anastasia Falconi; Claudio D'Addario; Mauro Maccarrone; Rafael Maldonado
Journal:  Neuropsychopharmacology       Date:  2015-05-06       Impact factor: 7.853

5.  Evidence for addiction-like behavior in the rat.

Authors:  Véronique Deroche-Gamonet; David Belin; Pier Vincenzo Piazza
Journal:  Science       Date:  2004-08-13       Impact factor: 47.728

Review 6.  Neurocircuitry of addiction.

Authors:  George F Koob; Nora D Volkow
Journal:  Neuropsychopharmacology       Date:  2010-01       Impact factor: 7.853

Review 7.  Food addiction: A common neurobiological mechanism with drug abuse.

Authors:  Elsa Lindgren; Kyle Gray; Gregg Miller; Ryan Tyler; Corinde E Wiers; Nora D Volkow; Gene-Jack Wang
Journal:  Front Biosci (Landmark Ed)       Date:  2018-01-01

Review 8.  The prevalence of food addiction as assessed by the Yale Food Addiction Scale: a systematic review.

Authors:  Kirrilly M Pursey; Peter Stanwell; Ashley N Gearhardt; Clare E Collins; Tracy L Burrows
Journal:  Nutrients       Date:  2014-10-21       Impact factor: 5.717

9.  A specific prelimbic-nucleus accumbens pathway controls resilience versus vulnerability to food addiction.

Authors:  Laura Domingo-Rodriguez; Inigo Ruiz de Azua; Eduardo Dominguez; Eric Senabre; Irene Serra; Sami Kummer; Mohit Navandar; Sarah Baddenhausen; Clementine Hofmann; Raul Andero; Susanne Gerber; Marta Navarrete; Mara Dierssen; Beat Lutz; Elena Martín-García; Rafael Maldonado
Journal:  Nat Commun       Date:  2020-02-07       Impact factor: 14.919

10.  A multistep general theory of transition to addiction.

Authors:  Pier Vincenzo Piazza; Véronique Deroche-Gamonet
Journal:  Psychopharmacology (Berl)       Date:  2013-08-21       Impact factor: 4.530

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  1 in total

1.  miRNA signatures associated with vulnerability to food addiction in mice and humans.

Authors:  Alejandra García-Blanco; Laura Domingo-Rodriguez; Judit Cabana-Domínguez; Noèlia Fernández-Castillo; Laura Pineda-Cirera; Jordi Mayneris-Perxachs; Aurelijus Burokas; Jose Espinosa-Carrasco; Silvia Arboleya; Jessica Latorre; Catherine Stanton; Bru Cormand; Jose-Manuel Fernández-Real; Elena Martín-García; Rafael Maldonado
Journal:  J Clin Invest       Date:  2022-05-16       Impact factor: 19.456

  1 in total

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