Published: Vol 10, Iss 19, Oct 5, 2020 DOI: 10.21769/BioProtoc.3777 Views: 4041
Reviewed by: Arnau Busquets-GarciaGian Marco LeggioMarco Venniro
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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.
Keywords: Food addictionBackground
In the last years, food addiction has gained attention due to the increasing prevalence worldwide (19.9 %) and currently represents a high cost to the individual and the society without any effective treatment available (Pursey et al., 2014). The current diagnosis is performed by a recently validated tool, the Yale Food Addiction Scale 2.0 (YFAS 2.0). This instrument is based on the criteria applied in the 5th edition of the Statistical Manual of Mental Disorders (DSM-5) for substance use disorders, taking into account the increasing evidence suggesting that food addiction shares its neurobiological substrates with drug addiction (Lindgren et al., 2017). Food addiction is a complex multifactorial brain disorder resulting from the dynamic interaction among multiple gene networks and multiple environmental factors impacting brain development and function, leading to individual differences among the population (Hamer, 2002; Nestler et al., 2015). For this reason, not all individuals become addicted and extreme subpopulations can be distinguished with an addicted and non-addicted phenotype (Piazza and Deroche-Gamonet, 2013). Conversely, the precise neurobiological mechanisms underlying both phenotypes are still unclear despite the well-known common brain areas involved in addictive processes that include the basal ganglia, extended amygdala, and prefrontal cortex (Koob and Volkow, 2016; Moore et al., 2017). The current protocol improves previous studies because it has the inclusion of a short protocol for evaluating food addiction phenotype in genetically modified mice that present anticipation of food addiction development. In this protocol, the development of loss of control over food intake that characterizes addiction is revealed by measuring compulsivity, motivation, and persistence in different time-points. Compared to other operant models, this has the advantage of measuring other phenotypic traits such as impulsivity, cognitive flexibility, appetitive associative learning, and aversive conditioning. These traits are potential predictors of the development of food addiction. In this study, the main aim is to describe a replicable protocol that allows deciphering the neurobiological mechanisms involved in the resilient and vulnerable phenotypes to develop a food addiction. To address this major question, we describe a protocol with a reliable behavioral approach that can be adapted to combine a viral vector approach with chemogenetic manipulations. These findings will help to design new strategies to focus the strength in the prevention of the transition to food addiction by increasing the inhibitory control of individuals exposed to unhealthy environmental conditions.
Materials and Reagents
Materials
Equipment
Software
Procedure
Male mice are housed individually in temperature (21 ± 1 °C)-and humidity (55 ± 10%) -controlled laboratory conditions maintained with food and water ad libitum. Mice are tested during the dark phase of a reverse light cycle (lights off at 8.00 a.m and on at 8.00 p.m).
Figure 3. Attribution of the 3 addiction-like criteria Mice perform 3 behavioral tests to measure the food addiction-like behavior and obtain an individual score for each criterion. The percentile 75th of the normal distribution of the chocolate control group in each criterion (dashed horizontal line) is established as a threshold to consider an animal positive for this addiction-like criterion when its individual score is equal or above the 75th percentile. Mice that achieve 2 or 3 addiction-like criteria are considered addicted animals, and mice that achieve 0 or 1 addiction-like criteria are considered non-addicted animals. Four mice (A-D) are indicated in the figure as an example. Mouse A presents the values of each criterion below the threshold achieving 0 criteria and is classified as a non-addicted animal. Mouse B displays a score in persistence to the response above the threshold and below in motivation and compulsivity, achieving 1 criterion and is classified as a non-addicted animal. Mouse C shows a score in persistence to response and compulsivity above the threshold and below in motivation achieving 2 criteria and is categorized as an addicted animal. Mouse D shows a score of each criterion above the 75th percentile achieving 3 criteria and is classified as an addicted animal. Data are expressed as individual values and median with interquartile range. White circles: mice with 0 criteria. Green circles: mice with 1 criterion. Blue circles: Mice with 2 criteria. Red circles: mice with 3 criteria. Data derived from Domingo-Rodriguez et al., 2020.
Figure 4. The 4 phenotypic traits considered as factors of vulnerability to addiction-like behavior. A. Impulsivity measured by the non-reinforced active responses not paired with a stimulus light during the time-out periods (10 s) after each pellet delivery. B. Cognitive flexibility measured by the reversal test. The reversal test is an FR5 self-administration session, but the active and the inactive levers are reversed compared to the previous self-administration session. C. Appetitive associative learning measured by the cue-induced food-seeking test. The cue-induced food-seeking test is a self-administration session that longs 90 min and is divided into two periods: 60 min + 30 min. In the first 60 min period, all lever-presses are not reinforced (active and inactive lever-presses have no scheduled consequences). In the subsequent 30 min, the white cue light, associated with pellet delivery during a normal self-administration session, is illuminated contingently for 30 min according to an FR5. D. Aversive associative learning measured by the shock-induced suppression test.
Figure 5. Timeline of the experimental sequence of the long food addiction mouse model. Mice are trained for chocolate-flavored pellets under an FR1 schedule of reinforcement on 1 h daily sessions for 6 days, followed by 112 days on an FR5. In the FR5, 2-time points are considered, early and late period, to measure the 3 addiction-like criteria (persistence to response, motivation, and compulsivity). Depending on the positive criteria that mice have achieved in the early period, animals are categorized in resilient (0-1 criteria) or vulnerable animals (2-3 criteria), and in the late period, mice are categorized in non-addicted (0-1 criteria) or addicted animals (2-3 criteria). In both early and late periods, 4 phenotypic traits as factors of vulnerability to addiction (impulsivity, cognitive flexibility, appetitive associative learning, and aversive associative learning) are also evaluated.
Note: The following steps must be done using a standing magnifier.
• Target volume: PL 0.2 µl; NAc core 0.4 µl
•Infusion rate: PL 0.05 µl/min; NAc core 0.1 µl/min
•Infusion time: 4 min
Data analysis
Notes
Bodyweight and food intake are measured once a week during the entire short and long food addiction mouse protocols. These measurements are especially crucial in the short food addiction mouse protocol in which it is used osmotic minipumps filled with CNO. We demonstrated that in our conditions, no side effects of CNO are revealed on body weight, food intake, and neither in locomotor activity (Domingo-Rodriguez et al., 2020).
Acknowledgments
We thank E. Senabre, S. Kummer for their critics and technical support. This work was supported by the Spanish Ministerio de Economía y Competitividad-MINECO (#SAF2017-84060-R-AEI/FEDER-UE), the Spanish Instituto de Salud Carlos III, RETICS-RTA (#RD12/0028/0023), the Generalitat de Catalunya, AGAUR (#2017 SGR-669), ICREA-Acadèmia (#2015) and the Spanish Ministerio de Sanidad, Servicios Sociales e Igualdad, Plan Nacional Sobre Drogas (#PNSD-2017I068) to R.M., Fundació La Marató-TV3 (#2016/20-30) and Plan Nacional Sobre Drogas of the Spanish Ministry of Health (#PNSD-2019I006) to E.M-G. The methodology described was previously used in Domingo-Rodriguez et al., 2020. Figures with drawings are created with BioRender.com.
Competing interests
The authors have no conflicts of interest.
Ethics
All experimental protocols were performed in accordance with the guidelines of the European Communities Council Directive 2010/63/EU and approved by the local ethical committee (Comitè Ètic d'Experimentació Animal-Parc de Recerca Biomèdica de Barcelona, CEEA-PRBB, agreement N 9687).
References
Article Information
Publication history
Accepted: Jul 30, 2020
Published: Oct 5, 2020
Copyright
© 2020 The Authors; exclusive licensee Bio-protocol LLC.
How to cite
Martín-García, E., Domingo-Rodriguez, L. and Maldonado, R. (2020). An Operant Conditioning Model Combined with a Chemogenetic Approach to Study the Neurobiology of Food Addiction in Mice. Bio-protocol 10(19): e3777. DOI: 10.21769/BioProtoc.3777.
Category
Neuroscience > Nervous system disorders > Animal model
Neuroscience > Behavioral neuroscience > Animal model
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