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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Behav. Neurosci.</journal-id>
<journal-title>Frontiers in Behavioral Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Behav. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-5153</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnbeh.2023.1240748</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Behavioral Neuroscience</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Linking drug and food addiction: an overview of the shared neural circuits and behavioral phenotype</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Passeri</surname> <given-names>Alice</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref><xref rid="fn0001" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2346465/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Municchi</surname> <given-names>Diana</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref><xref rid="fn0001" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1398150/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Cavalieri</surname> <given-names>Giulia</given-names></name><xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2346459/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Babicola</surname> <given-names>Lucy</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Ventura</surname> <given-names>Rossella</given-names></name><xref rid="aff2" ref-type="aff"><sup>2</sup></xref><xref rid="aff3" ref-type="aff"><sup>3</sup></xref><xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref><xref rid="fn0002" ref-type="author-notes"><sup>&#x2021;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/49671/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Di Segni</surname> <given-names>Matteo</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref><xref rid="aff2" ref-type="aff"><sup>2</sup></xref><xref rid="fn0002" ref-type="author-notes"><sup>&#x2021;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1152553/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>IRCCS Fondazione Santa Lucia</institution>, <addr-line>Rome</addr-line>, <country>Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Psychology and Center &#x201C;Daniel Bovet&#x201D;, Sapienza University</institution>, <addr-line>Rome</addr-line>, <country>Italy</country></aff>
<aff id="aff3"><sup>3</sup><institution>IRCCS San Raffaele</institution>, <addr-line>Rome</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0003">
<p>Edited by: James G. Pfaus, Charles University, Czechia</p>
</fn>
<fn fn-type="edited-by" id="fn0004">
<p>Reviewed by: Alfonso Abizaid, Carleton University, Canada; Kent Berridge, University of Michigan, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Rossella Ventura, <email>rossella.ventura@uniroma1.it</email></corresp>
<fn fn-type="equal" id="fn0001">
<p><sup>&#x2020;</sup>These authors share first authorship</p>
</fn>
<fn fn-type="equal" id="fn0002">
<p><sup>&#x2021;</sup>These authors share last authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>17</volume>
<elocation-id>1240748</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Passeri, Municchi, Cavalieri, Babicola, Ventura and Di Segni.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Passeri, Municchi, Cavalieri, Babicola, Ventura and Di Segni</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Despite a lack of agreement on its definition and inclusion as a specific diagnosable disturbance, the food addiction construct is supported by several neurobiological and behavioral clinical and preclinical findings. Recognizing food addiction is critical to understanding how and why it manifests. In this overview, we focused on those as follows: 1. the hyperpalatable food effects in food addiction development; 2. specific brain regions involved in both food and drug addiction; and 3. animal models highlighting commonalities between substance use disorders and food addiction. Although results collected through animal studies emerged from protocols differing in several ways, they clearly highlight commonalities in behavioral manifestations and neurobiological alterations between substance use disorders and food addiction characteristics. To develop improved food addiction models, this heterogeneity should be acknowledged and embraced so that research can systematically investigate the role of specific variables in the development of the different behavioral features of addiction-like behavior in preclinical models.</p>
</abstract>
<kwd-group>
<kwd>animal models</kwd>
<kwd>eating disorders</kwd>
<kwd>food addiction</kwd>
<kwd>substance use disorder</kwd>
<kwd>eating addiction</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="240"/>
<page-count count="11"/>
<word-count count="12742"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Motivation and Reward</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1.</label>
<title>Introduction</title>
<p>Eating is a multifaceted behavior determined by physiological and motivational drives and modulated by several mechanisms that include environmental, emotional, social, and cultural factors (<xref ref-type="bibr" rid="ref64">Emilien and Hollis, 2017</xref>). Eating behavior can also lead to disabling conditions such as eating disorders (EDs), which are characterized by complex biological and environmental interactions (<xref ref-type="bibr" rid="ref27">Bulik et al., 2022</xref>). Recently, clinical and preclinical studies have focused on the environmental risk factors for the development of dysfunctional eating behaviors and, specifically, on the nutrient composition of high-calorie, high-fat, high-sugar, and highly processed foods (<xref ref-type="bibr" rid="ref84">Gibney et al., 2017</xref>; <xref ref-type="bibr" rid="ref145">Monteiro et al., 2019</xref>; <xref ref-type="bibr" rid="ref101">Hecht et al., 2022</xref>; <xref ref-type="bibr" rid="ref234">Wiss, 2022</xref>).</p>
<p>These foods, alternatively referred to as hyperpalatable, highly processed, and highly rewarding foods (HPFs), can trigger those brain areas controlling gratification processing (liking) and attribution of salience (wanting), as proposed by the incentive sensitization theory, developed as a framework for SUDs&#x2019; interpretation (<xref ref-type="bibr" rid="ref19">Berridge et al., 2010</xref>; <xref ref-type="bibr" rid="ref81">Gearhardt et al., 2011</xref>; <xref ref-type="bibr" rid="ref224">Volkow et al., 2012</xref>; <xref ref-type="bibr" rid="ref182">Schulte et al., 2015</xref>; <xref ref-type="bibr" rid="ref20">Berridge and Robinson, 2016</xref>; <xref ref-type="bibr" rid="ref167">Robinson et al., 2016</xref>; <xref ref-type="bibr" rid="ref30">Cameron et al., 2017</xref>; <xref ref-type="bibr" rid="ref57">Devoto et al., 2018</xref>; <xref ref-type="bibr" rid="ref130">Lindgren et al., 2018</xref>; <xref ref-type="bibr" rid="ref222">Volkow et al., 2019</xref>; <xref ref-type="bibr" rid="ref200">Stice and Yokum, 2021</xref>). According to the recent NOVA classification (<xref ref-type="bibr" rid="ref147">Monteiro et al., 2010</xref>), even if ultra-processed foods and drinks (UPFDs) provide calories, they are poor sources of micronutrients and possess low satiating power (<xref ref-type="bibr" rid="ref146">Monteiro et al., 2018</xref>). In addition, increased consumption of these foods is strongly associated with obesity, diet-related diseases, and adverse mental health symptoms (<xref ref-type="bibr" rid="ref80">Gearhardt and Schulte, 2021</xref>; <xref ref-type="bibr" rid="ref101">Hecht et al., 2022</xref>).</p>
<p>There is a consensual definition of UPFDs as highly palatable and gratifying foods, whose organoleptic features can affect physiological mechanisms involved in satiety and appetite regulation, which may promote excessive consumption and manifest as a true &#x201C;addiction&#x201D; (<xref ref-type="bibr" rid="ref84">Gibney et al., 2017</xref>). Food addiction (FA) (<xref ref-type="bibr" rid="ref164">Randoph, 1956</xref>) has been described in a range of terms including eating addiction (<xref ref-type="bibr" rid="ref99">Hebebrand et al., 2014</xref>), sugar addiction (<xref ref-type="bibr" rid="ref14">Avena et al., 2008</xref>), fat addiction (<xref ref-type="bibr" rid="ref178">Sarkar et al., 2019</xref>), HPF addiction (<xref ref-type="bibr" rid="ref77">Gearhardt et al., 2011</xref>), salted FA (<xref ref-type="bibr" rid="ref40">Cocores and Gold, 2009</xref>), and, recently, UPFDs addiction (<xref ref-type="bibr" rid="ref234">Wiss, 2022</xref>). Disagreement upon the terminology belies a debate concerning the validity of the FA construct and its mechanisms (<xref ref-type="bibr" rid="ref239">Ziauddeen et al., 2012</xref>; <xref ref-type="bibr" rid="ref174">Salamone and Correa, 2013</xref>; <xref ref-type="bibr" rid="ref240">Ziauddeen and Fletcher, 2013</xref>; <xref ref-type="bibr" rid="ref99">Hebebrand et al., 2014</xref>; <xref ref-type="bibr" rid="ref232">Westwater et al., 2016</xref>; <xref ref-type="bibr" rid="ref70">Finlayson, 2017</xref>; <xref ref-type="bibr" rid="ref169">Rogers, 2017</xref>; <xref ref-type="bibr" rid="ref71">Fletcher and Kenny, 2018</xref>; <xref ref-type="bibr" rid="ref123">Lacroix et al., 2018</xref>; <xref ref-type="bibr" rid="ref78">Gearhardt and Hebebrand, 2021a</xref>).</p>
<p>Researchers have argued that there is a strong overlap between clinical features of FA and binge eating disorder (BED) and that human studies assessing neurobiological mechanisms of FA are not convincing. In addition, animal models of FA seem to lack ecological validity (<xref ref-type="bibr" rid="ref71">Fletcher and Kenny, 2018</xref>). Therefore, some authors support the behavioral addiction hypothesis (eating addiction) based on the argument that substances of abuse act as agonists of specific brain receptors and have a direct effect on the reward system. This is not the case for food. Moreover, eating is necessary for survival and intrinsically rewarding (<xref ref-type="bibr" rid="ref99">Hebebrand et al., 2014</xref>; <xref ref-type="bibr" rid="ref78">Gearhardt and Hebebrand, 2021a</xref>). However, other authors support the FA hypothesis, emphasizing behavioral and neurobiological similarities between HPF consumption and substance use disorders (SUDs) (<xref ref-type="bibr" rid="ref141">Meule and Gearhardt, 2014</xref>; <xref ref-type="bibr" rid="ref87">Gordon et al., 2018</xref>; <xref ref-type="bibr" rid="ref235">Wiss et al., 2018</xref>; <xref ref-type="bibr" rid="ref80">Gearhardt and Schulte, 2021</xref>). They strongly support FA as an independent clinical entity characterized by a specific behavioral pattern, including compulsive overeating [(<xref ref-type="bibr" rid="ref52">Davis, 2017</xref>), for extensive reviews, see, <xref ref-type="bibr" rid="ref78">Gearhardt and Hebebrand (2021a</xref>,<xref ref-type="bibr" rid="ref79">b)</xref> and <xref ref-type="bibr" rid="ref100">Hebebrand and Gearhardt (2021)</xref>]. Nevertheless, it has been proposed that the psychological constructs related to overeating (e.g., binge eating, food addiction, food craving, and hedonic hunger) share phenotypic, genetic, and environmental features that could be enclosed under the umbrella term &#x201C;uncontrolled eating,&#x201D; conceptualized as high food reward sensitivity combined with poor self-control, thus distancing it from the addiction hypothesis (<xref ref-type="bibr" rid="ref214">Vainik et al., 2019</xref>, <xref ref-type="bibr" rid="ref215">2020</xref>). According to the DSM-5-TR (<xref ref-type="bibr" rid="ref8">American Psychiatric Association, 2022</xref>), the diagnosis of SUD is based on pathological behaviors related to substance use. It identifies different forms of substance-related and addictive disorders and &#x201C;non-substance-related addictions,&#x201D; which refer only to gambling disorders. Even if FA is not recognized as a diagnosable pathology, its clinical features&#x2014;especially loss of control and craving, risky use, tolerance, and withdrawal&#x2014;seem to fit with the diagnostic criteria for SUDs. Indeed, these criteria have been used for the development and validation of tools to assess FA in humans, including the &#x201C;Yale Food Addiction Scale,&#x201D; the &#x201C;Three Factors Eating Questionnaire,&#x201D; the &#x201C;Power of Food Scale,&#x201D; and the &#x201C;Loss of Control over Eating Scale&#x201D; (<xref ref-type="bibr" rid="ref201">Stunkard and Messick, 1985</xref>; <xref ref-type="bibr" rid="ref131">Lowe et al., 2009</xref>; <xref ref-type="bibr" rid="ref81">Gearhardt et al., 2011</xref>, <xref ref-type="bibr" rid="ref76">2016</xref>; <xref ref-type="bibr" rid="ref125">Latner et al., 2014</xref>; <xref ref-type="bibr" rid="ref163">Pursey et al., 2015</xref>; <xref ref-type="bibr" rid="ref182">Schulte et al., 2015</xref>; <xref ref-type="bibr" rid="ref54">de Vries and Meule, 2016</xref>; <xref ref-type="bibr" rid="ref28">Burrows et al., 2017</xref>; <xref ref-type="bibr" rid="ref136">Markus et al., 2017</xref>; <xref ref-type="bibr" rid="ref15">Ayaz et al., 2018</xref>; <xref ref-type="bibr" rid="ref127">Lemeshow et al., 2018</xref>; <xref ref-type="bibr" rid="ref32">Carter et al., 2019</xref>; <xref ref-type="bibr" rid="ref210">Tran et al., 2020</xref>; <xref ref-type="bibr" rid="ref176">Sanchez et al., 2022</xref>). Interestingly, both clinical and preclinical studies have suggested how the mesolimbic dopamine (DA) system, mediating reward-related stimuli, learning, motivational, and executive control processes (<xref ref-type="bibr" rid="ref228">Wang et al., 2004</xref>; <xref ref-type="bibr" rid="ref199">Stice et al., 2008</xref>; <xref ref-type="bibr" rid="ref17">Belin et al., 2009</xref>; <xref ref-type="bibr" rid="ref233">Wise, 2009</xref>; <xref ref-type="bibr" rid="ref224">Volkow et al., 2012</xref>; <xref ref-type="bibr" rid="ref209">Tomasi and Volkow, 2013</xref>; <xref ref-type="bibr" rid="ref72">Furlong et al., 2014</xref>; <xref ref-type="bibr" rid="ref225">Volkow et al., 2017</xref>; <xref ref-type="bibr" rid="ref154">Novelle and Di&#x00E9;guez, 2018</xref>; <xref ref-type="bibr" rid="ref222">Volkow et al., 2019</xref>; <xref ref-type="bibr" rid="ref152">Ndiaye et al., 2020</xref>) is involved both in SUDs and FA. Repeated stimulation of the DA-reward pathway is believed to foster the sensitization of the mesolimbic system both to the substance itself and its associated cues (<xref ref-type="bibr" rid="ref20">Berridge and Robinson, 2016</xref>) and to promote neurobiological adaptations that result in the development of pathological behaviors such as binging (<xref ref-type="bibr" rid="ref72">Furlong et al., 2014</xref>), craving (<xref ref-type="bibr" rid="ref118">Krasnova et al., 2014</xref>; <xref ref-type="bibr" rid="ref134">Madangopal et al., 2022</xref>), use despite negative consequences (<xref ref-type="bibr" rid="ref124">Latagliata et al., 2010</xref>), withdrawal, and tolerance (<xref ref-type="bibr" rid="ref13">Avena et al., 2005</xref>, <xref ref-type="bibr" rid="ref14">2008</xref>; <xref ref-type="bibr" rid="ref106">Iemolo et al., 2012</xref>; <xref ref-type="bibr" rid="ref186">Sharma et al., 2013</xref>).</p>
</sec>
<sec id="sec2">
<label>2.</label>
<title>The mesoaccumbens dopamine system involvement in drug and food addiction</title>
<p>HPF and drugs of abuse can impact the function of similar brain circuits, including the mesoaccumbens DA system (<xref ref-type="bibr" rid="ref124">Latagliata et al., 2010</xref>; <xref ref-type="bibr" rid="ref225">Volkow et al., 2017</xref>; <xref ref-type="bibr" rid="ref71">Fletcher and Kenny, 2018</xref>). It is worth pointing out how the &#x201C;reward&#x201D; system responds to both rewarding and aversive motivational stimuli (<xref ref-type="bibr" rid="ref173">Salamone and Correa, 2012</xref>). Therefore, alteration of this system could result in various psychopathologies characterized by impaired motivational stimuli processing, such as depression, schizophrenia, Parkinson&#x2019;s disease, and addiction-like disorders (<xref ref-type="bibr" rid="ref175">Salamone et al., 2016</xref>). Interestingly, it seems that both natural rewards and drugs of abuse exert initial reinforcing effects by targeting brain regions of this circuit, such as the nucleus accumbens (NAc). However, addiction results from the transition from hedonic intake to an uncontrolled one, which requires long-lasting adaptations within the reward system and associated circuits (<xref ref-type="bibr" rid="ref61">Domingo-Rodriguez et al., 2020</xref>).</p>
<sec id="sec3">
<label>2.1.</label>
<title>The prefrontal cortex</title>
<p>The prefrontal cortex (PFC) is involved in the regulation of cognitive flexibility, decision-making, and inhibitory control. It plays a crucial role in the transition to and persistence of addictive behavior (<xref ref-type="bibr" rid="ref61">Domingo-Rodriguez et al., 2020</xref>). An impairment in executive functions is likely to contribute to the poor control and high compulsivity seen in addicted subjects (<xref ref-type="bibr" rid="ref220">Volkow and Baler, 2014</xref>; <xref ref-type="bibr" rid="ref222">Volkow et al., 2019</xref>).</p>
<p>PFC regions are activated when cocaine abusers are exposed to craving-inducing stimuli, and the increase in metabolic activity in the orbitofrontal cortex (OFC) and anterior cingulate cortex (ACC) is associated with the intensity of the craving (<xref ref-type="bibr" rid="ref220">Volkow and Baler, 2014</xref>; <xref ref-type="bibr" rid="ref222">Volkow et al., 2019</xref>). Neuroimaging studies show inhibition of metabolic activity in OFC (<xref ref-type="bibr" rid="ref220">Volkow and Baler, 2014</xref>; <xref ref-type="bibr" rid="ref117">Koob and Volkow, 2016</xref>) and ACC (<xref ref-type="bibr" rid="ref117">Koob and Volkow, 2016</xref>) in cocaine abusers when they are asked to inhibit craving after exposure to cocaine cues (<xref ref-type="bibr" rid="ref220">Volkow and Baler, 2014</xref>; <xref ref-type="bibr" rid="ref117">Koob and Volkow, 2016</xref>).</p>
<p>Interestingly, a similar metabolic inhibition can be observed in obese patients when they are asked to inhibit craving for food after they have been exposed to food cues (<xref ref-type="bibr" rid="ref220">Volkow and Baler, 2014</xref>). In human studies, subjects with BED and bulimia nervosa show weakened functional connectivity between the left lateral OFC, which is implicated in the inhibitory suppression of rewarded choices (<xref ref-type="bibr" rid="ref135">Mar et al., 2011</xref>; <xref ref-type="bibr" rid="ref88">Gourley et al., 2016</xref>) and the right dorsolateral PFC (DLPFC) (<xref ref-type="bibr" rid="ref4">Ahn et al., 2022</xref>), which mediates the relationship between motor urgency and response inhibition (<xref ref-type="bibr" rid="ref105">Hu et al., 2016</xref>). When exposed to high-calorie food stimuli, individuals with BED display an overactivation of the OFC (<xref ref-type="bibr" rid="ref180">Schienle et al., 2009</xref>; <xref ref-type="bibr" rid="ref103">Hone-Blanchet and Fecteau, 2014</xref>; <xref ref-type="bibr" rid="ref139">Meng et al., 2020</xref>; <xref ref-type="bibr" rid="ref34">Celeghin et al., 2023</xref>). Notably, lateral OFC is crucial for goal-directed behavior. A recent study showed how in a mouse model of obesity, lateral OFC-dependent impairments in devaluation (mediated by GABAergic transmission) may alter the ability to use the value of the outcome to guide behavior (<xref ref-type="bibr" rid="ref183">Seabrook et al., 2023</xref>). Increased activation of OFC is also evident in drug-addicted subjects in response to drug-related cues (<xref ref-type="bibr" rid="ref185">Sell et al., 2000</xref>; <xref ref-type="bibr" rid="ref227">Wang et al., 2007</xref>; <xref ref-type="bibr" rid="ref120">Kufahl et al., 2008</xref>; <xref ref-type="bibr" rid="ref86">Goldstein and Volkow, 2011</xref>; <xref ref-type="bibr" rid="ref33">Ceceli et al., 2022</xref>), and it is considered an index of craving (<xref ref-type="bibr" rid="ref221">Volkow et al., 2010</xref>).</p>
<p>Food- and drug-addicted subjects demonstrate executive function impairment during recovery and relapse (<xref ref-type="bibr" rid="ref16">Basso et al., 2022</xref>), similar brain activation during craving (<xref ref-type="bibr" rid="ref81">Gearhardt et al., 2011</xref>) with specific and predictive neuromarkers (&#x201C;neurobiological craving signature&#x201D;) (<xref ref-type="bibr" rid="ref116">Koban et al., 2023</xref>), and the transition from goal-directed action to habits (<xref ref-type="bibr" rid="ref58">DiFeliceantonio et al., 2018</xref>). Furthermore, the modulation of craving and consumption of alcohol, nicotine, drugs, or food by excitatory neuromodulation interventions of DLPFC has been suggested (<xref ref-type="bibr" rid="ref196">Song et al., 2022</xref>).</p>
<p>Preclinical studies have also shown similar cortical alterations between drug abuse and FA (<xref ref-type="bibr" rid="ref38">Chen et al., 2013</xref>; <xref ref-type="bibr" rid="ref129">Limpens et al., 2015</xref>; <xref ref-type="bibr" rid="ref153">Newmyer et al., 2019</xref>; <xref ref-type="bibr" rid="ref61">Domingo-Rodriguez et al., 2020</xref>; <xref ref-type="bibr" rid="ref9">Amissah et al., 2021</xref>; <xref ref-type="bibr" rid="ref151">Navandar et al., 2021</xref>). In addition, vulnerability to drug addiction and FA shares several transcriptional signatures in mPFC (<xref ref-type="bibr" rid="ref151">Navandar et al., 2021</xref>). The activity of the prelimbic cortex, implicated in response inhibition (<xref ref-type="bibr" rid="ref38">Chen et al., 2013</xref>; <xref ref-type="bibr" rid="ref129">Limpens et al., 2015</xref>), seems to correlate with compulsive seeking of both drugs and food (<xref ref-type="bibr" rid="ref38">Chen et al., 2013</xref>; <xref ref-type="bibr" rid="ref61">Domingo-Rodriguez et al., 2020</xref>). Furthermore, the medial insula plays a critical role in cravings for food, cocaine, and nicotine (<xref ref-type="bibr" rid="ref135">Mar et al., 2011</xref>; <xref ref-type="bibr" rid="ref220">Volkow and Baler, 2014</xref>). Insular reactivity has been proposed as a potential biomarker for relapse risk and a target for addiction treatments (<xref ref-type="bibr" rid="ref222">Volkow et al., 2019</xref>). Imaging studies have reported differential activation of the insula during craving, possibly reflecting interoceptive cues and the activation of corticotropin-releasing factor (<xref ref-type="bibr" rid="ref135">Mar et al., 2011</xref>). The OFC-anterior insular cortex pathway is also involved in cocaine addiction (<xref ref-type="bibr" rid="ref37">Chen et al., 2022</xref>) and, interestingly, using a continuous versus intermittent cocaine self-administration paradigm, it has been found that the latter was able to induce greater cocaine-taking behavior during withdrawal (<xref ref-type="bibr" rid="ref133">Luo et al., 2021</xref>). The same effect, mediated by an intermittent (but not continuous) self-administration paradigm, has been reported for HPF (<xref ref-type="bibr" rid="ref197">Spierling et al., 2020</xref>).</p>
</sec>
<sec id="sec4">
<label>2.2.</label>
<title>The nucleus accumbens</title>
<p>The NAc is a central area of the reward circuit and an important driver of goal-directed and goal-associated actions (<xref ref-type="bibr" rid="ref222">Volkow et al., 2019</xref>). It is involved in several addiction-related processes, such as memory, learning, and response inhibition (<xref ref-type="bibr" rid="ref220">Volkow and Baler, 2014</xref>). One of the changes related to the increased responsiveness to drug-predictive cues in addiction is the balance between D1 and D2 receptors (D1R, D2R) signaling in the ventral striatum. Preclinical studies support the idea that strengthening of D1R-medium spiny neurons (MSNs) in NAc enhances cocaine reward, whereas strengthening of D2R-MSNs suppresses it (<xref ref-type="bibr" rid="ref222">Volkow et al., 2019</xref>). Similarly, mice fed with a high-fat diet show enhanced activity of NAc D1R-MSNs during food seeking, which is linked to increased excitatory synaptic drive in the same neurons (<xref ref-type="bibr" rid="ref137">Matikainen-Ankney et al., 2023</xref>). Moreover, blocking synaptic transmission from D1R-MSNs, but not D2R, reduces lever-pressing force during food seeking and attenuates HPF-induced weight gain (<xref ref-type="bibr" rid="ref137">Matikainen-Ankney et al., 2023</xref>). However, despite recent evidence supporting the dichotomy between NAc D2R and D1R-containing neurons in driving motivation toward reinforcing stimuli such as drugs or food (<xref ref-type="bibr" rid="ref83">Gerfen, 2023</xref>; <xref ref-type="bibr" rid="ref177">Sandoval-Rodr&#x00ED;guez et al., 2023</xref>; <xref ref-type="bibr" rid="ref202">Swinford-Jackson et al., 2023</xref>), several studies indicated a non-canonical common role of NAc D1R and D2R in encoding positive valence/reward responses to drugs of abuse and food (<xref ref-type="bibr" rid="ref194">Soares-Cunha et al., 2016</xref>; <xref ref-type="bibr" rid="ref74">Gallo et al., 2018</xref>; <xref ref-type="bibr" rid="ref195">Soares-Cunha et al., 2020</xref>; <xref ref-type="bibr" rid="ref112">Joshi et al., 2021</xref>; <xref ref-type="bibr" rid="ref203">Tan et al., 2022</xref>).</p>
<p>Glutamatergic plasticity in the NAc plays a key role in mediating the enhanced motivation for both food and drugs (<xref ref-type="bibr" rid="ref237">Wolf and Tseng, 2012</xref>; <xref ref-type="bibr" rid="ref7">Alonso-Caraballo et al., 2021</xref>). Imbalance in glutamatergic receptor expression is also a key feature of silent synapses, markers of synaptic reorganization. Recent studies have revealed that sucrose/junk food and cocaine increase the number of MSNs silent synapses in NAc (<xref ref-type="bibr" rid="ref7">Alonso-Caraballo et al., 2021</xref>; <xref ref-type="bibr" rid="ref21">Bijoch et al., 2023</xref>). Overall, these data suggest strong similarities between food- and drug-induced synaptic changes in NAc (<xref ref-type="bibr" rid="ref90">Graziane et al., 2016</xref>; <xref ref-type="bibr" rid="ref205">Terrier et al., 2016</xref>).</p>
</sec>
<sec id="sec5">
<label>2.3.</label>
<title>The ventral tegmental area</title>
<p>Every drug with abuse potential directly or indirectly acting on DA neurons in the ventral tegmental area (VTA) causes increased DA in the NAc (<xref ref-type="bibr" rid="ref222">Volkow et al., 2019</xref>). In the context of eating behaviors, the hyperactive VTA DA-ergic projections lead to enhanced incentive salience or craving for food (<xref ref-type="bibr" rid="ref110">Jerlhag et al., 2009</xref>). Food can act through the neural input from the taste buds and hormones released by the digestion and absorption of food (<xref ref-type="bibr" rid="ref6">Alonso-Alonso et al., 2015</xref>). However, recent findings support the notion that direct stimulation of the gastrointestinal tract with nutrients or optical activation of gut-innervating vagal sensory neurons is sufficient to induce DA release in brain circuits controlling food intake. Interestingly, the changes in extracellular DA levels reflect the caloric load of the substance, even in the absence of taste receptor signaling (<xref ref-type="bibr" rid="ref53">de Araujo et al., 2008</xref>; <xref ref-type="bibr" rid="ref96">Han et al., 2018</xref>; <xref ref-type="bibr" rid="ref179">Schatzker et al., 2020</xref>). VTA neurons express receptors for several peptides and hormones regulating homeostatic signals and influencing the responses to drugs. Among these, ghrelin has been reported to affect VTA DA-neuron firing rate and to increase the intake of HPF, the cocaine-induced locomotion, and conditioned place preference; by contrast, antagonism of ghrelin receptors reduces the development of nicotine and cocaine sensitization (<xref ref-type="bibr" rid="ref1">Abizaid et al., 2006</xref>; <xref ref-type="bibr" rid="ref110">Jerlhag et al., 2009</xref>; <xref ref-type="bibr" rid="ref192">Skibicka et al., 2011</xref>; <xref ref-type="bibr" rid="ref231">Wellman et al., 2011</xref>; <xref ref-type="bibr" rid="ref181">Schuette et al., 2013</xref>; <xref ref-type="bibr" rid="ref35">Cepko et al., 2014</xref>; <xref ref-type="bibr" rid="ref62">Dunn et al., 2019</xref>).</p>
<p>Leptin, an adipose-derived hormone, modulates DA neurotransmission in the mesoaccumbens pathway acting on its receptors in VTA. This decreases the incentive value of both palatable food and substances of abuse such as cocaine and heroin (<xref ref-type="bibr" rid="ref69">Figlewicz et al., 2003</xref>; <xref ref-type="bibr" rid="ref102">Hommel et al., 2006</xref>; <xref ref-type="bibr" rid="ref149">Morton et al., 2009</xref>; <xref ref-type="bibr" rid="ref188">Shen et al., 2011</xref>; <xref ref-type="bibr" rid="ref142">Meye and Adan, 2014</xref>; <xref ref-type="bibr" rid="ref49">D&#x2019;Cunha et al., 2020</xref>). Insulin inhibits dopaminergic VTA-NAc projections through the activation of the Akt&#x2013;mTOR pathway and retrograde endocannabinoid signaling. This suppresses glutamate release and increases DA reuptake thereby upregulating DA transporter (DAT) and attenuating reward for HPF and drug (<xref ref-type="bibr" rid="ref107">Iniguez et al., 2008</xref>; <xref ref-type="bibr" rid="ref26">Bruijnzeel et al., 2011</xref>; <xref ref-type="bibr" rid="ref113">Kenny, 2011</xref>; <xref ref-type="bibr" rid="ref138">Mebel et al., 2012</xref>; <xref ref-type="bibr" rid="ref122">Labou&#x00E8;be et al., 2013</xref>; <xref ref-type="bibr" rid="ref207">Tiedemann et al., 2017</xref>; <xref ref-type="bibr" rid="ref150">Naef et al., 2019</xref>). In addition, signaling of peptides such as GLP-1 (involved in glucose regulation) and orexin (engaged in feeding behaviors) have been involved in reward regulation and dysfunctional responses toward food and drugs of abuse (<xref ref-type="bibr" rid="ref140">Merchenthaler et al., 1999</xref>; <xref ref-type="bibr" rid="ref165">Rinaman, 2010</xref>; <xref ref-type="bibr" rid="ref5">Alhadeff et al., 2012</xref>; <xref ref-type="bibr" rid="ref67">Erreger et al., 2012</xref>; <xref ref-type="bibr" rid="ref63">Egecioglu et al., 2013</xref>; <xref ref-type="bibr" rid="ref89">Graham et al., 2013</xref>; <xref ref-type="bibr" rid="ref189">Shirazi et al., 2013</xref>; <xref ref-type="bibr" rid="ref65">Engel and Jerlhag, 2014</xref>; <xref ref-type="bibr" rid="ref18">Bentzley and Aston-Jones, 2015</xref>; <xref ref-type="bibr" rid="ref172">Saad et al., 2019</xref>; <xref ref-type="bibr" rid="ref109">Jamali et al., 2021</xref>). Overconsumption of HPFs can also induce dopaminergic adaptations within the VTA, such as a reduction of TH (both mRNA and protein levels), catechol-O-methyl transferase (DA degrading enzyme), and DAT, together with D1R and D2R expression (<xref ref-type="bibr" rid="ref226">Vucetic et al., 2012</xref>; <xref ref-type="bibr" rid="ref31">Carlin et al., 2013</xref>; <xref ref-type="bibr" rid="ref187">Sharma and Fulton, 2013</xref>; <xref ref-type="bibr" rid="ref55">Decarie-Spain et al., 2016</xref>).</p>
</sec>
<sec id="sec6">
<label>2.4.</label>
<title>The amygdala</title>
<p>The amygdala is primarily involved in memory, decision-making, and emotional response. As for NAc MSNs, stimulation or increased neuronal activity of D1R central amygdala (CeA) neurons enhances food seeking and is associated with incubation of drug seeking. Conversely, D2R stimulation suppresses food seeking and its reduced activity is associated with the incubation of drug craving (<xref ref-type="bibr" rid="ref114">Kim et al., 2017</xref>; <xref ref-type="bibr" rid="ref219">Venniro et al., 2017</xref>). Many of the long-term emotional disturbances associated with the withdrawal/negative stage of the addiction cycle have been related to dysfunctional activity of the CeA, which processes painful and pleasurable experiences (<xref ref-type="bibr" rid="ref166">Roberto et al., 2017</xref>; <xref ref-type="bibr" rid="ref104">Horseman and Meyer, 2019</xref>).</p>
<p>Negative emotional states and withdrawal symptoms are crucial factors of relapse. Incubation of drug seeking during abstinence has been observed in humans and animal models, and several studies outlined the involvement of the amygdala in mediating these behaviors (<xref ref-type="bibr" rid="ref184">See et al., 2003</xref>; <xref ref-type="bibr" rid="ref132">Lu et al., 2005</xref>; <xref ref-type="bibr" rid="ref193">Smith and Aston-Jones, 2008</xref>; <xref ref-type="bibr" rid="ref128">Li et al., 2015</xref>; <xref ref-type="bibr" rid="ref171">Roura-Mart&#x00ED;nez et al., 2020</xref>; <xref ref-type="bibr" rid="ref156">Pagano et al., 2023</xref>). Interestingly, blocking CB1 receptor signaling in the CeA can precipitate a negative emotional state in rats withdrawn from chronic intermittent access to HPF. This is similar to that seen in cannabinoid- and opiate-dependent subjects (<xref ref-type="bibr" rid="ref23">Blasio et al., 2013</xref>), which suggests a link between compulsive eating and drug taking. Indeed, neural stimulation of CeA can strongly increase incentive motivation for natural and drug rewards (<xref ref-type="bibr" rid="ref208">Tom et al., 2019</xref>; <xref ref-type="bibr" rid="ref230">Warlow et al., 2020</xref>; <xref ref-type="bibr" rid="ref229">Warlow and Berridge, 2021</xref>). It has been reported that kinase C&#x03B4;-expressing neurons mediate negative valence, satiation, and conditioned taste aversion, while prepronociceptin-expressing cells are suggested to be involved in assigning positive valence and enhanced motivation to HPF (<xref ref-type="bibr" rid="ref98">Hardaway et al., 2019</xref>).</p>
</sec>
</sec>
<sec id="sec7">
<label>3.</label>
<title>Modeling of food addiction in rodents</title>
<p>Modeling human psychiatric disorders in animals is challenging, particularly in the addiction field where the validity of rodent models has been argued to be restricted to &#x201C;face&#x201D; similarities (<xref ref-type="bibr" rid="ref99">Hebebrand et al., 2014</xref>; <xref ref-type="bibr" rid="ref100">Hebebrand and Gearhardt, 2021</xref>). This is even more evident in the FA research due to the debate on construct validity which leads to a non-univocal interpretation of the collected results (<xref ref-type="bibr" rid="ref174">Salamone and Correa, 2013</xref>; <xref ref-type="bibr" rid="ref169">Rogers, 2017</xref>; <xref ref-type="bibr" rid="ref178">Sarkar et al., 2019</xref>; <xref ref-type="bibr" rid="ref8">American Psychiatric Association, 2022</xref>). Nevertheless, literature so far collected in preclinical models suggests how specific foods (<xref ref-type="bibr" rid="ref20">Berridge and Robinson, 2016</xref>; <xref ref-type="bibr" rid="ref234">Wiss, 2022</xref>) can induce, under specific conditions, pathological manifestations accepted as valid measures of SUD symptoms (<xref ref-type="bibr" rid="ref56">Deroche-Gamonet et al., 2004</xref>; <xref ref-type="bibr" rid="ref103">Hone-Blanchet and Fecteau, 2014</xref>; <xref ref-type="bibr" rid="ref190">Shriner and Gold, 2014</xref>). Along with the conceptual framework borrowed from SUDs, many of the behavioral tests used to investigate addiction-like eating behavior in rodents are modified tests of pathological drug use that use food as a primary reinforcer (<xref ref-type="bibr" rid="ref148">Moore et al., 2019</xref>; <xref ref-type="bibr" rid="ref25">Brown and James, 2023</xref>).</p>
<p>The earliest preclinical findings on food addiction-like behaviors derive from studies aimed primarily at the manipulation of the energy-homeostatic and metabolic aspects of feeding in the context of the study of obesity, which is not included among EDs but is clinically often associated with them (<xref ref-type="bibr" rid="ref19">Berridge et al., 2010</xref>). Studies using prolonged free access (i.e., <italic>ad libitum</italic>) to HPFs have shown escalation in consumption beyond homeostatic needs (<xref ref-type="bibr" rid="ref216">Valdivia et al., 2015</xref>; <xref ref-type="bibr" rid="ref119">Kreisler et al., 2017</xref>; <xref ref-type="bibr" rid="ref235">Wiss et al., 2018</xref>) that parallels escalation in drug addiction (<xref ref-type="bibr" rid="ref56">Deroche-Gamonet et al., 2004</xref>; <xref ref-type="bibr" rid="ref111">Johnson and Kenny, 2010</xref>). Similarly, free extended access to a palatable diet has been shown to induce behavioral and neurobiological alterations of tolerance induced by repeated or prolonged exposure to drugs of abuse (<xref ref-type="bibr" rid="ref3">Ahmed et al., 2000</xref>; <xref ref-type="bibr" rid="ref59">Dimitriou et al., 2000</xref>; <xref ref-type="bibr" rid="ref2">Ahmed et al., 2002</xref>; <xref ref-type="bibr" rid="ref12">Avena, 2010</xref>; <xref ref-type="bibr" rid="ref121">la Fleur et al., 2011</xref>; <xref ref-type="bibr" rid="ref236">Wojnicki et al., 2015</xref>; <xref ref-type="bibr" rid="ref158">Parnarouskis and Gearhardt, 2022</xref>).</p>
<p>Continuous access to HPFs also produces an increase in body weight, complicating the distinction between overweight and overeating behavior (<xref ref-type="bibr" rid="ref44">Corwin, 2006</xref>; <xref ref-type="bibr" rid="ref51">Davis, 2013</xref>). Manipulations that provide alternating, intermittent exposures to HPFs aim to overcome this issue (<xref ref-type="bibr" rid="ref47">Cottone et al., 2008</xref>; <xref ref-type="bibr" rid="ref64">Emilien and Hollis, 2017</xref>; <xref ref-type="bibr" rid="ref8">American Psychiatric Association, 2022</xref>). Intermittent or limited access to specific food rewards has been shown to promote a gradual escalation of preferred food intake across time, culminating in consumption of larger amounts during the first period in which food is available again (<xref ref-type="bibr" rid="ref13">Avena et al., 2005</xref>; <xref ref-type="bibr" rid="ref47">Cottone et al., 2008</xref>).</p>
<p>Intermittent access to substances/food produces more robust behavioral addiction-like manifestations than continuous access (<xref ref-type="bibr" rid="ref59">Dimitriou et al., 2000</xref>; <xref ref-type="bibr" rid="ref115">Kinzig et al., 2008</xref>; <xref ref-type="bibr" rid="ref45">Corwin et al., 2011</xref>; <xref ref-type="bibr" rid="ref160">Patrono et al., 2015</xref>; <xref ref-type="bibr" rid="ref236">Wojnicki et al., 2015</xref>; <xref ref-type="bibr" rid="ref75">Garcia et al., 2020</xref>; <xref ref-type="bibr" rid="ref218">Vazquez-Herrera et al., 2021</xref>). Addiction-like increased consumption in the first period following re-exposure has been reported in rodents when they had intermittent period access shorter than 1&#x2009;h daily (<xref ref-type="bibr" rid="ref43">Corwin, 2004</xref>; <xref ref-type="bibr" rid="ref47">Cottone et al., 2008</xref>; <xref ref-type="bibr" rid="ref85">Giuliano et al., 2012</xref>; <xref ref-type="bibr" rid="ref95">Halpern et al., 2013</xref>; <xref ref-type="bibr" rid="ref182">Schulte et al., 2015</xref>; <xref ref-type="bibr" rid="ref236">Wojnicki et al., 2015</xref>; <xref ref-type="bibr" rid="ref126">Lee et al., 2020</xref>). This is similar to substance-induced behaviors in which more pronounced effects were observed with brief and limited access than with extended access (<xref ref-type="bibr" rid="ref119">Kreisler et al., 2017</xref>; <xref ref-type="bibr" rid="ref197">Spierling et al., 2020</xref>). Interestingly, &#x201C;sporadic&#x201D; exposure (2&#x2009;h once weekly) to HPF in the absence of physiological stress induces a pathological phenotype after some weeks (<xref ref-type="bibr" rid="ref48">Czyzyk et al., 2010</xref>), an observation also reported for nicotine (<xref ref-type="bibr" rid="ref144">Miller et al., 2001</xref>) or ketamine (<xref ref-type="bibr" rid="ref211">Trujillo et al., 2008</xref>).</p>
<p>Despite the difficulty in comparing results from these models due to diversities in the schedule of exposure (frequency and duration), intervening variables (e.g., concomitant slight food deprivation), and the type of test used, these models suggest a possible presence of incubation underlying the shift from a normal to a dysfunctional feeding behavior. In SUD models, this effect can be due to a hyper-evaluation of the palatable food when unavailable as well as devaluation of the less preferred alternative when a stable alternation has been acquired. Accordingly, food seeking in mice increases following prolonged abstinence from palatable food during self-administration training (<xref ref-type="bibr" rid="ref92">Grimm et al., 2005</xref>; <xref ref-type="bibr" rid="ref118">Krasnova et al., 2014</xref>; <xref ref-type="bibr" rid="ref50">Darling et al., 2016</xref>; <xref ref-type="bibr" rid="ref134">Madangopal et al., 2022</xref>). Uncertainty about the availability of the desired food may contribute to addiction-like behaviors by engaging in stress response (<xref ref-type="bibr" rid="ref46">Cottone et al., 2009</xref>; <xref ref-type="bibr" rid="ref45">Corwin et al., 2011</xref>). Interestingly, behavioral signs of a negative emotional state and increased stress responsivity are documented in animals that have access to high-fat food (<xref ref-type="bibr" rid="ref186">Sharma et al., 2013</xref>), sucrose solutions (<xref ref-type="bibr" rid="ref73">Galic and Persinger, 2002</xref>; <xref ref-type="bibr" rid="ref13">Avena et al., 2005</xref>; <xref ref-type="bibr" rid="ref162">Pickering et al., 2009</xref>; <xref ref-type="bibr" rid="ref238">Yakovenko et al., 2011</xref>), or a combination of both (<xref ref-type="bibr" rid="ref204">Teegarden and Bale, 2007</xref>) withdrawn, resembling the &#x201C;deprivation effects&#x201D; observed in models of intermittent drug and alcohol access (<xref ref-type="bibr" rid="ref168">Rodd et al., 2004</xref>; <xref ref-type="bibr" rid="ref228">Wang et al., 2004</xref>; <xref ref-type="bibr" rid="ref82">George et al., 2007</xref>).</p>
<p>Abstinence from HPFs produces an anhedonic state and increased anxiety-like behaviors in rodents (<xref ref-type="bibr" rid="ref41">Colantuoni et al., 2002</xref>; <xref ref-type="bibr" rid="ref238">Yakovenko et al., 2011</xref>; <xref ref-type="bibr" rid="ref186">Sharma et al., 2013</xref>; <xref ref-type="bibr" rid="ref213">Ulrich-Lai et al., 2015</xref>; <xref ref-type="bibr" rid="ref197">Spierling et al., 2020</xref>). Other reports also demonstrate an increase in responding to cues previously paired with high-fat foods, sucrose, and saccharin after abstinence (<xref ref-type="bibr" rid="ref11">Aoyama et al., 2014</xref>; <xref ref-type="bibr" rid="ref50">Darling et al., 2016</xref>; <xref ref-type="bibr" rid="ref60">Dingess et al., 2017</xref>), parallel to response to drug-paired cues observed after abstinence (<xref ref-type="bibr" rid="ref66">Epstein et al., 2016</xref>; <xref ref-type="bibr" rid="ref91">Grimm, 2020</xref>).</p>
<p>The escalation in consumption has been proposed to be sustained by different mechanisms, not mutually exclusive, such as tolerance (as increased reward threshold) and opponent processes engagement (aversive state), suggesting that increased wanting is not sufficient to define the addiction (<xref ref-type="bibr" rid="ref46">Cottone et al., 2009</xref>; <xref ref-type="bibr" rid="ref20">Berridge and Robinson, 2016</xref>; <xref ref-type="bibr" rid="ref117">Koob and Volkow, 2016</xref>; <xref ref-type="bibr" rid="ref158">Parnarouskis and Gearhardt, 2022</xref>).</p>
<p>As for drugs (<xref ref-type="bibr" rid="ref223">Volkow and Morales, 2015</xref>), the link with the stress system is further strengthened by evidence that exposure to environmental conditions, including shock (<xref ref-type="bibr" rid="ref94">Hagan et al., 2002</xref>, <xref ref-type="bibr" rid="ref93">2003</xref>), isolation rearing (<xref ref-type="bibr" rid="ref22">Blanco-Gand&#x00ED;a et al., 2018</xref>), consume frustration (<xref ref-type="bibr" rid="ref39">Cifani et al., 2009</xref>; <xref ref-type="bibr" rid="ref143">Micioni Di Bonaventura et al., 2017</xref>; <xref ref-type="bibr" rid="ref10">Anversa et al., 2020</xref>), forced swimming (<xref ref-type="bibr" rid="ref42">Consoli et al., 2009</xref>), chronic variable stress (<xref ref-type="bibr" rid="ref157">Pankevich et al., 2010</xref>; <xref ref-type="bibr" rid="ref206">Thompson et al., 2015</xref>), and reduced maternal care early in life (<xref ref-type="bibr" rid="ref108">Jahng, 2013</xref>) coupled with shock (<xref ref-type="bibr" rid="ref97">Hancock et al., 2005</xref>) can powerfully influence the behavioral approach to palatable food. In turn, either continuous or intermittent palatable food intake blunts acute stress responses both in human and rodent studies (<xref ref-type="bibr" rid="ref161">Pecoraro et al., 2004</xref>; <xref ref-type="bibr" rid="ref115">Kinzig et al., 2008</xref>; <xref ref-type="bibr" rid="ref213">Ulrich-Lai et al., 2015</xref>), supporting the hypothesis that palatable food has &#x201C;comforting&#x201D; effects that may promote its intake and relapse behaviors after abstinence (<xref ref-type="bibr" rid="ref14">Avena et al., 2008</xref>; <xref ref-type="bibr" rid="ref46">Cottone et al., 2009</xref>; <xref ref-type="bibr" rid="ref212">Ulrich-Lai et al., 2010</xref>; <xref ref-type="bibr" rid="ref159">Parylak et al., 2011</xref>).</p>
<p>Food restriction has been widely used in different models because it represents both an environmental source of stress able to influence addiction-like behaviors (<xref ref-type="bibr" rid="ref191">Sinha and Jastreboff, 2013</xref>) and a condition mimicking certain aspects of diet regulation reported in humans, typically consisting of limitation of caloric intake (<xref ref-type="bibr" rid="ref198">Stice and Burger, 2015</xref>). Boggiano&#x2019;s model shows how cycles of energy restriction/refeeding (as with foot shock at the end of the final cycle) promote in rats more HPF consumption than foot shock or a history of restriction alone (<xref ref-type="bibr" rid="ref93">Hagan et al., 2003</xref>; <xref ref-type="bibr" rid="ref36">Chandler-Laney et al., 2007</xref>; <xref ref-type="bibr" rid="ref22">Blanco-Gand&#x00ED;a et al., 2018</xref>).</p>
<p>Many binging behavior models use modified versions of this protocol, with changes in the length of each component of the cycle, the type of binge food, the kind of acute stress administered, and the species of rodent (<xref ref-type="bibr" rid="ref97">Hancock et al., 2005</xref>; <xref ref-type="bibr" rid="ref39">Cifani et al., 2009</xref>; <xref ref-type="bibr" rid="ref42">Consoli et al., 2009</xref>; <xref ref-type="bibr" rid="ref157">Pankevich et al., 2010</xref>). In the model proposed by Hoebel, however, animals received palatable food during a period of mild food deprivation and showed an enhanced response to rewarding food as evidenced by the short-term (1&#x2009;h) intake. The intake is higher than rats that received the palatable food only twice (<xref ref-type="bibr" rid="ref14">Avena et al., 2008</xref>).</p>
<p>Evidence from rodent models also demonstrates the possibility to investigate eating despite negative consequences, a hallmark characteristic of SUD behaviors (<xref ref-type="bibr" rid="ref56">Deroche-Gamonet et al., 2004</xref>; <xref ref-type="bibr" rid="ref217">Vanderschuren and Everitt, 2004</xref>; <xref ref-type="bibr" rid="ref24">Boggiano and Chandler, 2006</xref>; <xref ref-type="bibr" rid="ref68">Everitt et al., 2008</xref>). <xref ref-type="bibr" rid="ref111">Johnson and Kenny (2010)</xref> reported that rats with unrestricted access to a cafeteria diet continued to compulsively consume it despite the presence of an aversive conditioned stimulus (foot-shock-paired light), whereas rats previously fed with only regular chow and/or given restricted access to the high-fat/high-sugar diet significantly decreased their palatable food consumption in the presence of the aversive conditioned stimulus.</p>
<p><xref ref-type="bibr" rid="ref155">Oswald et al. (2011)</xref>, <xref ref-type="bibr" rid="ref118">Krasnova et al. (2014)</xref>, and <xref ref-type="bibr" rid="ref170">Rossetti et al. (2014)</xref> demonstrated how rats that developed binge-like intake after alternate HPF exposure persisted in self-administration despite the harmful consequences (foot shock). Similarly, rats withdrawing from intermittent access to a palatable diet compulsively sought and consumed a sugary diet while they were facing aversive conditions (the enlightened aversive compartment in a light/dark conflict box) (<xref ref-type="bibr" rid="ref29">Calvez and Timofeeva, 2016</xref>). Work from our group has investigated the willingness to risk (shock-paired light presence) in order to consume a rewarding food after an alternated prolonged food exposure, evidencing in mice a critical role for genotype (<xref ref-type="bibr" rid="ref124">Latagliata et al., 2010</xref>; <xref ref-type="bibr" rid="ref160">Patrono et al., 2015</xref>).</p>
</sec>
<sec sec-type="discussions" id="sec8">
<label>4.</label>
<title>Discussion</title>
<p>Differences and similarities between food and drug responses have sparked debate about whether FA could be a valid construct to define a clinical disorder. Due to the clinical evidence of the capability of HPF to promote specific features of SUDs, such as loss of control, craving, risky use, tolerance, and withdrawal, diagnostic tools aim to shed light on this issue. Moreover, preclinical studies modeling FA have attempted to investigate the interaction between biological and environmental factors in maladaptive behaviors toward drugs of abuse and food and have identified some common neurobiological substrates and alterations that could be coherently framed within the incentive salience theory of addiction. To clearly define FA as a disorder <italic>per se</italic>, however, including as a non-substance-related addiction, it is critical to understand how and why it emerges. The heterogeneity of results obtained by FA models should therefore be acknowledged and embraced, systematically investigating the role of specific variables on the development of the different behavioral features that compose drug addiction-like behaviors. Reaching these goals could lead to the development of specific and effective treatments for FA.</p>
</sec>
<sec id="sec9">
<title>Author contributions</title>
<p>AP, DM, and GC selected literature. AP, DM, GC, LB, RV, and MD wrote the manuscript. All the authors provide approval for publication of the content.</p>
</sec>
<sec sec-type="COI-statement" id="sec10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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