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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphys.2020.00925</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Early Life Stress and the Onset of Obesity: Proof of MicroRNAs&#x2019; Involvement Through Modulation of Serotonin and Dopamine Systems&#x2019; Homeostasis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Tavares</surname> <given-names>Gabriel Araujo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/882553/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Torres</surname> <given-names>Amada</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1008473/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>de Souza</surname> <given-names>Julliet Araujo</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Nantes Universit&#x00E9;, INRAE, UMR 1280, PhAN</institution>, <addr-line>Nantes</addr-line>, <country>France</country></aff>
<aff id="aff2"><sup>2</sup><institution>Laboratory of Neuroplasticity and Behavior, Graduate Program of Nutrition, Federal University of Pernambuco</institution>, <addr-line>Recife</addr-line>, <country>Brazil</country></aff>
<aff id="aff3"><sup>3</sup><institution>Developmental Genetics and Molecular Physiology, Instituto de Biotecnologia, Universidad Nacional Autonoma de Mexico &#x2013; Campus Morelos</institution>, <addr-line>Cuernavaca</addr-line>, <country>Mexico</country></aff>
<aff id="aff4"><sup>4</sup><institution>Laboratory of Neuroplasticity and Behavior, Graduate Program of Neuropsychiatry and Behavioral Sciences, Federal University of Pernambuco</institution>, <addr-line>Recife</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Hanna Taipaleenm&#x00E4;ki, University Medical Center Hamburg-Eppendorf, Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Stefano Bastianini, University of Bologna, Italy; Yuval Silberman, Pennsylvania State University, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Gabriel Araujo Tavares, <email>gabrieltavaresufpe@outlook.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Integrative Physiology, a section of the journal Frontiers in Physiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>07</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>11</volume>
<elocation-id>925</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>05</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>07</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2020 Tavares, Torres and de Souza.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Tavares, Torres and de Souza</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>Healthy persons hold a very complex system for controlling energy homeostasis. The system functions on the interconnected way between the nutritional, endocrine, neural, and epigenetic regulation, which includes the microRNAs (miRNAs). Currently, it is well accepted that experiences of early life stress (ELS) carry modification of the central control of feeding behavior, one of the factors controlling energy homeostasis. Recently, studies give us a clue on the modulation of eating behavior, which is one of the main factors associated with the development of obesity. This clue connected the neural control through the serotonin (5HT) and dopamine (DA) systems with the fine regulation of miRNAs. The first pieces of evidence highlight the presence of the miR-16 in the regulation of the serotonin transporter (SERT) as well as the receptors 1a (5HT1A) and 2a (5HT2A). On the other hand, miR-504 is related to the dopamine receptor D2 (DRD2). As our knowledge advance, we expected to discover other important pathways for the regulation of the energy homeostasis. As both neurotransmission systems and miRNAs seem to be sensible to ELS, the aim of this review is to bring new insight about the involvement of miRNAs with a central role in the control of eating behavior focusing on the influences of ELS and regulation of neurotransmission systems.</p>
</abstract>
<kwd-group>
<kwd>miRNA</kwd>
<kwd>early life stress</kwd>
<kwd>obesity</kwd>
<kwd>serotonin</kwd>
<kwd>dopamine</kwd>
</kwd-group>
<contract-num rid="cn001">Finance code 001</contract-num>
<contract-num rid="cn002">RFI Food for Tomorrow/Cap Aliment and Research, Education, and Innovation in Pays de la Loire</contract-num>
<contract-sponsor id="cn001">Coordena&#x00E7;&#x00E3;o de Aperfei&#x00E7;oamento de Pessoal de N&#x00ED;vel Superior<named-content content-type="fundref-id">10.13039/501100002322</named-content></contract-sponsor>
<contract-sponsor id="cn002">European Regional Development Fund<named-content content-type="fundref-id">10.13039/501100008530</named-content></contract-sponsor>
<counts>
<fig-count count="0"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="98"/>
<page-count count="8"/>
<word-count count="0"/>
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</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Almost over one-third of the world&#x2019;s population is overweight or obese (<xref ref-type="bibr" rid="B14">Chooi et al., 2019</xref>). This condition negatively affects the life quality, productivity, and costs with public health. One of the main aspects of this body weight regulation is feeding behavior (<xref ref-type="bibr" rid="B57">Remmers and Delemarre-van de Waal, 2011</xref>) which involves neural networks such as the serotonergic (5HT) and dopaminergic (DA) systems (<xref ref-type="bibr" rid="B45">Meguid et al., 2000</xref>). Several studies show that the disruption of those systems is strongly associated with increased food intake and/or preference for palatable food, which are important factors contributing for the onset of obesity (<xref ref-type="bibr" rid="B77">van Galen et al., 2018</xref>). Gene expression of both 5HT and DA systems can be influenced by miRNAs (<xref ref-type="bibr" rid="B40">Launay et al., 2011</xref>; <xref ref-type="bibr" rid="B64">Shi et al., 2014</xref>), and in this case, they would be the key regulatory molecules in the comprehension of the pathophysiology of the feeding behavior.</p>
<p>MiRNAs are small non-coding RNAs with an average length of approximately 22 nucleotides (<xref ref-type="bibr" rid="B4">Bartel, 2004</xref>). They regulate post-transcriptional gene expression by binding to the 3&#x2032;UTR of mRNAs, some miRNAs also regulate the expression of another or several other miRNAs (<xref ref-type="bibr" rid="B74">Truscott et al., 2016</xref>), and even themselves (<xref ref-type="bibr" rid="B97">Zisoulis et al., 2012</xref>). Generally, miRNA specifically inhibit protein synthesis either by repressing translation or by inducing deadenylation and degradation of target mRNA (<xref ref-type="bibr" rid="B4">Bartel, 2004</xref>) but were also reported to activate translation (<xref ref-type="bibr" rid="B32">Huntzinger and Izaurralde, 2011</xref>). Each miRNA has the capacity to target hundreds of diverse transcripts, and a single messenger can be modulated by several miRNAs, this represents a highly coordinated system and fine-tuned regulation of protein expression (<xref ref-type="bibr" rid="B38">Krol et al., 2010</xref>; <xref ref-type="bibr" rid="B50">O&#x2019;Carroll and Schaefer, 2013</xref>).</p>
<p>On the other hand, a healthy environment during the beginning of life is crucial for a proper development in mammals (<xref ref-type="bibr" rid="B59">Resnick et al., 1979</xref>; <xref ref-type="bibr" rid="B46">Morgane et al., 1993</xref> 2002). Maternal nutritional and emotional factors are critical during periconceptional and perinatal periods (<xref ref-type="bibr" rid="B46">Morgane et al., 1993</xref>; <xref ref-type="bibr" rid="B12">Chen and Baram, 2016</xref>). Early life stress (ELS) experiences can lead to long-term neurobehavioral complications. Both pre-clinical and clinical studies identify the influence of ELS on the development of several psychiatric disorders, including perturbation of feeding behavior, eating disorders and obesity (<xref ref-type="bibr" rid="B12">Chen and Baram, 2016</xref>; <xref ref-type="bibr" rid="B20">Entringer et al., 2016</xref>). Interestingly, the miRNAs are also sensible to ELS through several models, as showed on <xref ref-type="table" rid="T1">Table 1</xref>. In this context, this review brings a potential role of the miRNAs in the onset of obesity through modulation of 5HT and DA in response to ELS.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Influences of ELS on miRNA activity.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>ELS model</bold></td>
<td valign="top" align="left"><bold>Subjects</bold></td>
<td valign="top" align="left"><bold>Region</bold></td>
<td valign="top" align="left"><bold>Outcome</bold></td>
<td valign="top" align="left"><bold>Authors</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="justify" colspan="5"><bold>Pre-clinical studies</bold></td>
</tr>
<tr>
<td valign="top" align="left">MS</td>
<td valign="top" align="left">Rat</td>
<td valign="top" align="left">Hippocampus</td>
<td valign="top" align="left">Increased miR-16</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B3">Bai et al., 2012</xref></td>
</tr>
<tr>
<td valign="top" align="left">MS</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">Cortical neurons</td>
<td valign="top" align="left">Impaired response of miR-212 to the learning process on a cocaine conditioned place preference test</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B78">Viola et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">MS + CUS</td>
<td valign="top" align="left">Rat</td>
<td valign="top" align="left">NAcc</td>
<td valign="top" align="left">Increased miR-504</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B94">Zhang et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">MS</td>
<td valign="top" align="left">Rat</td>
<td valign="top" align="left">mPFC</td>
<td valign="top" align="left">Increased REST4</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B75">Uchida et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">Morphine + Apnea + MS</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">Hippocampus</td>
<td valign="top" align="left">Decreased miR-204-5p, miR-455-3p, miR-448-5p, and miR-574-3p</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B44">McAdams et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">CUMS</td>
<td valign="top" align="left">Rat</td>
<td valign="top" align="left">Basolateral amygdala</td>
<td valign="top" align="left">Increased rno-miR-124a</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B89">Xu et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">Increased maternal care</td>
<td valign="top" align="left">Rat</td>
<td valign="top" align="left">Hypothalamus</td>
<td valign="top" align="left">increased rno-miR-488, rno-miR-144, and rno-miR-542-5p and decreased rno-miR-421 and rno-miR-376b-5p</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B79">Vogel Ciernia et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">Protein malnutrition</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">Hypothalamus</td>
<td valign="top" align="left">increased mmu-miR-187-3p, mmu-miR-369-3p and mmu-miR-132-3p</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B6">Berardino et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">Unpredictable maternal separation combined with maternal stress</td>
<td valign="top" align="left">Mice</td>
<td valign="top" align="left">Sperm</td>
<td valign="top" align="left">Changes in miRNA transmitted to F2 generation</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B24">Gapp et al., 2014</xref></td>
</tr>
<tr>
<td valign="top" align="left">Prenatal stress</td>
<td valign="top" align="left">Rat</td>
<td valign="top" align="left">Hippocampus</td>
<td valign="top" align="left">Decreased hsa-miR-125b-1-3p</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B11">Cattane et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify" colspan="5"><bold>Clinical studies</bold></td>
</tr>
<tr>
<td valign="top" align="left">Childhood maltreatment</td>
<td valign="top" align="left">both sexes</td>
<td valign="top" align="left">Leukocytes</td>
<td valign="top" align="left">Methylation changes in CpGs close to region coding miR-124-3</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B55">Prados et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">Childhood abuse</td>
<td valign="top" align="left">Men aged 45 years old</td>
<td valign="top" align="left">Whole blood</td>
<td valign="top" align="left">Methylation changes in promoter region of 39 miRNAs</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B67">Suderman et al., 2014</xref></td>
</tr>
<tr>
<td valign="top" align="left">Child abuse</td>
<td valign="top" align="left">European adults of both sexes</td>
<td valign="top" align="left">Buccal mucosa cells</td>
<td valign="top" align="left">Association between the polymorphism rs3125 of 5HT2A and brooding. This region is predicted to be targeted by miR-1270, miR-1304, miR-202, miR-539 and miR-620</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B21">Eszlari et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">Childhood trauma</td>
<td valign="top" align="left">Adult of both sexes</td>
<td valign="top" align="left">Blood cells</td>
<td valign="top" align="left">Decreased hsa-miR-125b-1-3p</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B11">Cattane et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">Childhood trauma</td>
<td valign="top" align="left">Adult both sexes</td>
<td valign="top" align="left">Human hippocampus progenitor cells</td>
<td valign="top" align="left">Decreased hsa-miR-125b-1-3p</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B11">Cattane et al., 2019</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>ELS, early life stress; MS, maternal separation; CUS, chronic unpredictable stress; CUMS, chronic unpredictable mild-life stress; NAc, nucleus accumbens; mPFC, medial pre-frontal cortex; CpGs, methylated cytosines followed by guanine nucleotide sites.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S2">
<title>Serotonin: Role on Feeding Behavior, Influences of ELS, and miRNA Regulation</title>
<p>The 5HT system includes receptors, transporters and enzymes involved in the metabolism of serotonin (5-Hydroxytryptamine), and it regulates several functions in the organism as locomotors activity, body temperature, wake-sleep cycle, and feeding behavior (<xref ref-type="bibr" rid="B39">Lam et al., 2010</xref>; <xref ref-type="bibr" rid="B52">Olivier, 2015</xref>). Regarding the control of eating behavior, serotonin has a well-established anorectic role through promotion of satiety. In the arcuate nucleus of the hypothalamus, serotonin acts in different ways; it acts on 5HT1B, promoting inhibition of neurons that produce neuropeptide Y (NPY) and the cocaine and amphetamine-related transcript (CART), which are orexigenic. It also acts on 5HT2C, promoting activation of neurons that produce pro-opiomelanocortin (POMC) and the peptide related to the agouti gene (AgRP), which are anorexigenic, thus promoting satiety signaling (<xref ref-type="bibr" rid="B30">Heisler et al., 2006</xref>). In addition, recent studies also refer that serotonin has a role in the hedonic regulation of eating behavior. Receptors such as 5HT6 in areas of the mesocorticolimbic circuit have been associated with motivational feeding behavior (<xref ref-type="bibr" rid="B15">da Silva et al., 2017</xref>). The impairments of the homeostasis of the serotonergic system are associated with disorders of eating behavior, usually associated with increased food intake, either by homeostatic or hedonic changes. In particular, the serotonergic system appears extremely sensitive to environmental changes during the development of the organism, and several studies have shown that ELS impairs the function of the 5HT system (<xref ref-type="bibr" rid="B16">de Lima et al., 2020</xref>).</p>
<p>Models of ELS in animals are usually associated with deprivation of the mother&#x2013;infant relationship, such as in maternal separation (MS) and early weaning (EW) models (<xref ref-type="bibr" rid="B37">Kikusui and Mori, 2009</xref>; <xref ref-type="bibr" rid="B29">Harrison and Baune, 2014</xref>). Previous studies from our laboratory show that the MS disrupts the 5HT system. In middle aged females, it increases the 5HT1B gene expression in the hypothalamus, associated with decreased food intake (<xref ref-type="bibr" rid="B17">de Souza et al., 2020a</xref>), and in adult males, we observed a decreased action of fluoxetine on food intake (<xref ref-type="bibr" rid="B18">de Souza et al., 2020b</xref>). In addition, MS promotes decreased 5HT concentration in hypothalamus and amygdala of young animals, associated with increased palatable food intake (<xref ref-type="bibr" rid="B16">de Lima et al., 2020</xref>). Together, these data suggest that MS alter the serotonergic system function, contributing to disorders of feeding behavior. On the other hand, we have been able to associate the EW with changes in gene expression of several components of the 5HT system in male and female rats, such as SERT, 5HT1B, and 5HT2C in hypothalamus and brainstem. Based on the patterns of expression in the brainstem and response to fenfluramine, we suggested a hypofunction of the serotonergic system in the EW animals (<xref ref-type="bibr" rid="B70">Tavares et al., 2019</xref>, <xref ref-type="bibr" rid="B68">2020a</xref>,<xref ref-type="bibr" rid="B69">b</xref>). All these changes in the 5-HT system were accompanied by alterations on feeding behavior, which indicate that the 5HT system control of feeding behavior can be modulated by ELS, which can be directly linked to the onset of obesity.</p>
<p>Recently, studies have deepened about these compensatory changes and epigenetic modifications have been extensively investigated. In this respect, miRNAs have been shown to be important regulators y/o mediators of gene expression. In the case of depression, it is currently accepted that several miRNAs modulate the activity of the serotonergic system, but little is known about these regulators in the context of eating behavior. As far as we know, miR-16 is able to bind the SERT messenger (<xref ref-type="table" rid="T2">Table 2</xref>) and silence its expression in humans and animals (<xref ref-type="bibr" rid="B5">Baudry et al., 2010</xref>; <xref ref-type="bibr" rid="B48">Moya et al., 2013</xref>; <xref ref-type="bibr" rid="B65">Song et al., 2015</xref>; <xref ref-type="bibr" rid="B63">Shao et al., 2018</xref>). The relationship between miR-16 and SERT is even modulated by pharmacological antidepressant treatment and also alternative treatments as the electroacupuncture; besides different responses according to the affected brain area, these treatments improve the level of depressive behaviors, suggesting a highly specific regulation (<xref ref-type="bibr" rid="B5">Baudry et al., 2010</xref>; <xref ref-type="bibr" rid="B95">Zhao et al., 2019</xref>). SERT appears to be a key piece of regulation, as different miRNAs can modify its expression, as the mmu-miR-135 (<xref ref-type="bibr" rid="B34">Issler et al., 2014</xref>), rno-miR-18a-5p, rno-miR-34a-5p, rno-miR-135a-5p, rno-miR-195-5p, rno-miR-320-3p, rno-miR-674-3p, and rno-miR-872-5p (<xref ref-type="bibr" rid="B98">Zurawek et al., 2017</xref>). This relationship between miR-16 and SERT is interesting, since SERT activity is directly related to serotonergic signaling. SERT recaptures the remaining amount of serotonin from the synaptic clefts, and an increase in its activity may mean a decrease in serotonergic signaling. In depression, has been shown that decreased levels of miR-16 and elevated levels of SERT are associated with the pathology by promoting a reduction in serotonergic signaling. Drugs that block SERT activity and increase serotonin levels are used to treat this depressive behavior. Interestingly, the same drugs are used to treat obesity (<xref ref-type="bibr" rid="B28">Halford et al., 2012</xref>) as they also promote a reduction in food intake. This evidence gives a primary role to miR-16 that may also be a candidate to modulate SERT activity in the context of eating disorders.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Components of the serotonergic and dopaminergic systems and their regulatory-associated miRNAs.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Components</bold></td>
<td valign="top" align="left"><bold>miRNAs</bold></td>
<td valign="top" align="left"><bold>Authors</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="justify" colspan="3"><bold>Serotonin or 5-Hydroxytryptamine (5HT) system</bold></td>
</tr>
<tr>
<td valign="top" align="left">SERT (SLC6A4/5HTT)</td>
<td valign="top" align="left">miR-16, miR-135, miR-18a-5p, miR-34a-5p, miR-135a-5p, miR-195-5p, miR-320-3p, miR-674-3p, and miR-872-5p.</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B5">Baudry et al., 2010</xref>; <xref ref-type="bibr" rid="B40">Launay et al., 2011</xref>; <xref ref-type="bibr" rid="B48">Moya et al., 2013</xref>; <xref ref-type="bibr" rid="B34">Issler et al., 2014</xref>; <xref ref-type="bibr" rid="B65">Song et al., 2015</xref>; <xref ref-type="bibr" rid="B98">Zurawek et al., 2017</xref>; <xref ref-type="bibr" rid="B63">Shao et al., 2018</xref>; <xref ref-type="bibr" rid="B95">Zhao et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">5HT1A</td>
<td valign="top" align="left">miR-16, miR-135, and miR-26a-2.</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B41">Liu et al., 2017</xref>; <xref ref-type="bibr" rid="B88">Xie et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">5HT1B</td>
<td valign="top" align="left">miR-96</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B35">Jensen et al., 2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">5HT2A</td>
<td valign="top" align="left">miR-16</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B90">Yang et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">5HT2C</td>
<td valign="top" align="left">miR-34</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B1">Andolina et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">5HT4</td>
<td valign="top" align="left">miR-103, miR-15b, and a mix containing miR-103, miR-15b, and miR-16</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B85">Wohlfarth et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">5HT7</td>
<td valign="top" align="left">miR-29a</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B81">Volpicelli et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="justify" colspan="3"><bold>Dopamine (DA) system</bold></td>
</tr>
<tr>
<td valign="top" align="left">DRD1</td>
<td valign="top" align="left">miR-504, miR-105, miR-15a, miR-15b, miR-16 and miR-142-3p</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B73">Tob&#x00F3;n et al., 2012</xref>, <xref ref-type="bibr" rid="B72">2015</xref>; <xref ref-type="bibr" rid="B94">Zhang et al., 2013</xref>; <xref ref-type="bibr" rid="B96">Zhao et al., 2017</xref>; <xref ref-type="bibr" rid="B87">Wu et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">DRD2</td>
<td valign="top" align="left">miR-143, miR-200a, miR-504, has-miR-9 and miR-326</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B94">Zhang et al., 2013</xref>, <xref ref-type="bibr" rid="B93">2015</xref>; <xref ref-type="bibr" rid="B64">Shi et al., 2014</xref>; <xref ref-type="bibr" rid="B23">Gangisetty et al., 2017</xref>; <xref ref-type="bibr" rid="B86">Wu et al., 2018</xref>; <xref ref-type="bibr" rid="B43">Mavrikaki et al., 2019</xref>; <xref ref-type="bibr" rid="B82">Wang et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">DRD3</td>
<td valign="top" align="left">let-7d</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B2">Bahi and Dreyer, 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">DAT</td>
<td valign="top" align="left">miR-137 and miR-491</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B36">Jia et al., 2016</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>SERT, solute carrier family 6 member 4 (SLC6A4/5HTT), serotonin transporter; 5HT1A, 5-Hydroxytryptamine receptor 1A; 5HT1B, 5-Hydroxytryptamine receptor 1B; 5HT2C, 5-Hydroxytryptamine receptor 2C; 5HT4, 5-Hydroxytryptamine receptor 4; 5HT7, 5-Hydroxytryptamine receptor 7; DRD1, dopamine receptor D1; DRD2, dopamine receptor D2; DRD3, dopamine receptor D3; DAT, dopamine transporter, solute carrier family 6 member 3 (SLC6A3).</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>In addition to SERT, miRNAs modulate the activity of other components of the serotonergic system (<xref ref-type="table" rid="T2">Table 2</xref>), such as 5HT1B, 5HT1A, 5HT4, 5HT2C, and 5HT7. The 5HT1B receptor is advised as a target of the miR-96 (<xref ref-type="bibr" rid="B35">Jensen et al., 2009</xref>). 5HT1A seems to be targeted by miR-16, miR-135 (<xref ref-type="bibr" rid="B41">Liu et al., 2017</xref>), and has-miR-26a-2 (<xref ref-type="bibr" rid="B88">Xie et al., 2019</xref>). The 5HT4 receptor acquire decreased expression in response to miR-103, has-miR-15b and a mix containing hsa-miR-103, has-miR-15b and hsa-miR-16 (<xref ref-type="bibr" rid="B85">Wohlfarth et al., 2017</xref>). In addition, miR-34 appears to bind the receptor 5HT2C (<xref ref-type="bibr" rid="B1">Andolina et al., 2016</xref>), hsa-miR-16 appears to reduce 5HT2A expression (<xref ref-type="bibr" rid="B90">Yang et al., 2017</xref>), and miR-29a decreases the expression of 5HT7 (<xref ref-type="bibr" rid="B81">Volpicelli et al., 2019</xref>). The impairment of the activity of these receptors is associated with disrupted food intake either by homeostatic or hedonic mechanisms. 5HT1A, 5HT1B, and 5HT2C are strongly associated with satiety signaling, and several studies report that their disruption promotes increased food intake. On the other hand, 5HT4 is associated with hedonic modulation of food intake and obesity. Thus, the modulation of these receptors through miRNAs can also be associated with the onset of eating disorders leading to obesity.</p>
</sec>
<sec id="S3">
<title>Dopamine: Role on Feeding Behavior, Influences of ELS, and miRNA Regulation</title>
<p>The dopaminergic system, as well as the serotoninergic system, comprises a set of neurotransmitter, enzymes, receptors, and dopamine transporter (DAT). On the other hand, neurons that synthesize dopamine can be found in the brainstem and can be divided into three groups, which forms the Nigro Striatal system, the mesocorticolimbic system, and the mesocortical system (<xref ref-type="bibr" rid="B51">Ogawa and Watabe-Uchida, 2018</xref>). The principal role on feeding behavior is taken by the mesocorticolimbic system (<xref ref-type="bibr" rid="B84">Wise, 1989</xref>; <xref ref-type="bibr" rid="B7">Berridge and Kringelbach, 2008</xref>). Dopaminergic neurons are known to be involved in emotion-based behavior including motivation and reward (<xref ref-type="bibr" rid="B54">Phillips et al., 2008</xref>). Therefore, in the context of the feeding behavior, this system is mainly related to the hedonic component of feeding, but evidences also point out that dopamine is a key component on hypothalamic regulation of the homeostatic eating behavior (<xref ref-type="bibr" rid="B45">Meguid et al., 2000</xref>; <xref ref-type="bibr" rid="B33">Ikeda et al., 2018</xref>).</p>
<p>The DA system is sensible to ELS and its disruption is associated with several psychiatric disorders, such as eating disorders and obesity (<xref ref-type="bibr" rid="B49">Naef et al., 2015</xref>). Our previous study showed that DRD1 and DRD2 gene expression were increased in the brainstem of adult rats, accompanied by higher palatable food intake after MS (<xref ref-type="bibr" rid="B19">de Souza et al., 2018</xref>). The MS also modulates the DA system in other brain areas, such as PLC, NAcc, and striatum, changing the density of immunoreactive fibers of TH, and the mRNA expression of DRD2, DRD1, and DRD5 (<xref ref-type="bibr" rid="B42">Majcher-Ma&#x015B;lanka et al., 2017</xref>). On the other hand, EW increases DRD1 mRNA expression in the hypothalamus and brainstem and DRD2 in the brainstem of middle-aged male rats (<xref ref-type="bibr" rid="B69">Tavares et al., 2020b</xref>). In all of these studies, disrupted patterns on feeding behavior are observed, indicating that alterations in the dopaminergic system can be one of the underlying mechanisms that lead to behavioral disorders.</p>
<p>Increased evidence points out that several components of the dopaminergic system are influenced by some miRNAs (<xref ref-type="table" rid="T2">Table 2</xref>). DRD1 appears to be regulated by miR-504 (<xref ref-type="bibr" rid="B94">Zhang et al., 2013</xref>), rno-miR-105 (<xref ref-type="bibr" rid="B96">Zhao et al., 2017</xref>), and for the cluster of hsa-miR-15a-5p, hsa-miR-15b-5p, and hsa-miR-16-5p, and mmu-miR-142-3p (<xref ref-type="bibr" rid="B73">Tob&#x00F3;n et al., 2012</xref>, <xref ref-type="bibr" rid="B72">2015</xref>). The expression of the DRD2 is modified by miR-143-3p (<xref ref-type="bibr" rid="B82">Wang et al., 2019</xref>), miR-200a (<xref ref-type="bibr" rid="B86">Wu et al., 2018</xref>), miR-504 (<xref ref-type="bibr" rid="B94">Zhang et al., 2013</xref>), hsa-miR-9, and hsa-miR-326 (<xref ref-type="bibr" rid="B64">Shi et al., 2014</xref>; <xref ref-type="bibr" rid="B93">Zhang et al., 2015</xref>; <xref ref-type="bibr" rid="B23">Gangisetty et al., 2017</xref>; <xref ref-type="bibr" rid="B43">Mavrikaki et al., 2019</xref>). Both receptors, DRD1 and DRD2, are associated with control of food intake, either homeostatic or hedonic, in several areas of the brain (<xref ref-type="bibr" rid="B84">Wise, 1989</xref>; <xref ref-type="bibr" rid="B33">Ikeda et al., 2018</xref>) which indicates that its modulation through miRNAs can modulate the food intake. In addition, overexpression of let-7d is negatively correlated with the expression of DRD3 in the hippocampus of mice (<xref ref-type="bibr" rid="B2">Bahi and Dreyer, 2018</xref>). The activity of the DRD3 is controversy in the context of food intake, but some evidences associate it with eating disorders and decreased food intake (<xref ref-type="bibr" rid="B71">Thomsen et al., 2017</xref>; <xref ref-type="bibr" rid="B26">Gonz&#x00E1;lez et al., 2019</xref>). The expression of DAT, the major controller of dopamine levels in the synaptic clefts, is post-transcriptionally regulated on cell culture of dopaminergic neurons by miR-137 and miR-491 (<xref ref-type="bibr" rid="B36">Jia et al., 2016</xref>). This transporter acts like SERT, reuptaking the dopamine from the synaptic cleft, so its function is extremely necessary to normal DA signalization, even in the context of eating behavior. On the other hand, the reduction of Dicer, a miRNA-processing ribonuclease III, in the ventral midbrain of DA neurons promotes changes in the miRNAs profile and altered the survival capacity of these dopaminergic neurons (<xref ref-type="bibr" rid="B13">Chmielarz et al., 2017</xref>). Together, these evidences extended the susceptibility of the DA system to the regulation of miRNAs, which can lead to modulation of eating behavior and may be associated with eating disorders.</p>
</sec>
<sec id="S4">
<title>Perspectives: Role of the miRNAs on the Onset of Obesity Through 5HT and DA Systems&#x2019; Disruption in the Context of ELS</title>
<p>In addition to knowing that components of the 5HT and DA neurotransmission systems are susceptible to ELS, some evidence also shows that miRNAs have their expression and activity influenced by ELS, which is summarized in <xref ref-type="table" rid="T1">Table 1</xref>. Both, pre-clinical and clinical studies affirm that childhood trauma could be associated with the modulation of miRNA, as the case of the miR-16 and miR-504 which have their control of the serotonin and dopamine impaired by stress, with consequences such as depression, anhedonia, and body weight gain. However, more studies are needed to understand the full picture, specifically in the context of the control of the feeding behavior, which is directly involved in the development of obesity.</p>
<p>Conversely, both clinical and pre-clinical studies demonstrate that ELS is able to alter SERT activity (<xref ref-type="bibr" rid="B83">Wankerl et al., 2014</xref>; <xref ref-type="bibr" rid="B76">Van Der Knaap et al., 2015</xref>; <xref ref-type="bibr" rid="B70">Tavares et al., 2019</xref>, <xref ref-type="bibr" rid="B68">2020a</xref>). Interestingly, differences in SERT activity are observed in obesity, both in humans and animals (<xref ref-type="bibr" rid="B25">Giannaccini et al., 2013</xref>; <xref ref-type="bibr" rid="B9">Borgers et al., 2014</xref>; <xref ref-type="bibr" rid="B92">Zha et al., 2017</xref>). For example, the density of SERT is reduced in obese humans (<xref ref-type="bibr" rid="B25">Giannaccini et al., 2013</xref>; <xref ref-type="bibr" rid="B9">Borgers et al., 2014</xref>) and increased in rats with abdominal obesity who were exposed to a diet rich in simple carbohydrates (<xref ref-type="bibr" rid="B66">Spadaro et al., 2015</xref>). In addition to being involved in the pathophysiology of obesity and being sensitive to ELS, several lines of evidence in the literature show that SERT is a target for miR-16 and propose an important role in regulating its activity (<xref ref-type="bibr" rid="B5">Baudry et al., 2010</xref>). On the other hand, animal studies demonstrate that the 5HT1A receptor is also modulated by ELS (<xref ref-type="bibr" rid="B10">Bravo et al., 2014</xref>; <xref ref-type="bibr" rid="B56">Razoux et al., 2017</xref>) and has increased density in the hippocampus and hypothalamus of rats chronically submitted to a Westernized diet (<xref ref-type="bibr" rid="B91">Yu et al., 2018</xref>). Interestingly, 5HT1A is also the target of miR-16, which has its expression modulated by ELS (<xref ref-type="bibr" rid="B3">Bai et al., 2012</xref>). The receptor 5HT2A is, as well, modulated by ELS in animals and humans (<xref ref-type="bibr" rid="B58">Rentesi et al., 2013</xref>; <xref ref-type="bibr" rid="B53">Parade et al., 2017</xref>) and involved with the pathophysiology of obesity (<xref ref-type="bibr" rid="B62">Rosmond et al., 2002</xref>; <xref ref-type="bibr" rid="B31">Huang et al., 2004</xref>). Interestingly, the 5HT2A is also targeted by the miR-16 (<xref ref-type="bibr" rid="B90">Yang et al., 2017</xref>). From these observations, we believe that miR-16 is an excellent candidate for moderating changes in SERT, 5HT1A, and 5HT2A due to ELS, in the context of the altered eating behavior.</p>
<p>Regarding the dopaminergic system, the DRD1 and DRD2 actively participate in the regulation of food intake, especially with regard to palatable foods, as these are related to the food reward system (<xref ref-type="bibr" rid="B45">Meguid et al., 2000</xref>; <xref ref-type="bibr" rid="B8">Berridge et al., 2009</xref>; <xref ref-type="bibr" rid="B80">Volkow et al., 2011</xref>). Changes in this reward system are linked to eating behavior disorders, with changes in the activity of DRD1 and DRD2 being observed in humans and animals (<xref ref-type="bibr" rid="B27">Guo et al., 2014</xref>; <xref ref-type="bibr" rid="B60">Rivera et al., 2015</xref>; <xref ref-type="bibr" rid="B22">Gaiser et al., 2016</xref>; <xref ref-type="bibr" rid="B19">de Souza et al., 2018</xref>; <xref ref-type="bibr" rid="B61">Romanova et al., 2018</xref>; <xref ref-type="bibr" rid="B69">Tavares et al., 2020b</xref>). In addition, both receptors are modulated by ELS (<xref ref-type="bibr" rid="B19">de Souza et al., 2018</xref>; <xref ref-type="bibr" rid="B69">Tavares et al., 2020b</xref>). Interestingly, we observed that miR-504 targets both DRD1 and DRD2, with their expression being altered by ELS (<xref ref-type="bibr" rid="B93">Zhang et al., 2015</xref>). Additionally, DRD1 has also been identified as a target for miR-16 (<xref ref-type="bibr" rid="B87">Wu et al., 2020</xref>). Thus, we believe that miR-504 and miR-16 modulate DRD1 and DRD2, in the context of eating disorders associated with ELS.</p>
<p>In summary, according to the evidence reported, we can infer that the serotonergic and dopaminergic systems undergo regulation of their activity through post-transcriptional modulation by miRNAs. Both systems participate in the physiological and pathological processes of eating behavior, which leads us to believe that miRNAs may be behind several changes in eating behavior as observed in several disorders such as obesity. Several studies point out that the genesis of these disorders is largely associated with experiences of stress early in life. Neonatal stress is already well described as a modulator of the serotonergic and dopaminergic systems associated with disorders of eating behavior, as well as a modulator of expression and activity of miRNAs. In addition, we know that miRNAs participate in the pathological processes of several psychiatric disorders. Thus, we establish here a relationship between neonatal stress and the modulation of the serotonergic and dopaminergic systems, through post-transcriptional regulation by miRNAs, as a possible pathophysiological mechanism behind eating behavior disorders. Future studies are needed to investigate this relationship and provide further support for the scientific community in the search for understanding and treatment of pathologies of eating behavior.</p>
</sec>
<sec id="S5">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.</p>
</sec>
<sec id="conf1">
<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>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was carried out with the financial support of the regional program &#x201C;RFI Food for Tomorrow/Cap Aliment and Research, Education, and Innovation in Pays de la Loire,&#x201D; which was supported by the French Region Pays de la Loire, the European Regional Development Fund (FEDER). Additionally, this study was financed in part by the <italic>Coordena&#x00E7;&#x00E3;o de Aperfei&#x00E7;oamento de Pessoal de N&#x00ED;vel Superior &#x2013; Brasil</italic> (CAPES) &#x2013; Finance Code 001.</p>
</fn>
</fn-group>
<ack>
<p>The authors would like to thank Rudah Goes and Tayn&#x00E1; Goes for helping with the design of the graphical abstract and Dr. Bertrand Kaeffer for the comments to the manuscript.</p>
</ack>
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</ref-list><glossary>
<title>Abbreviations</title>
<def-list id="DL1">
<def-item><term>3&#x2032;UTR</term><def><p>3&#x2032;Untranslated region</p></def></def-item>
<def-item><term>5HT</term><def><p>5-Hydroxytryptamine, serotonin system</p></def></def-item>
<def-item><term>5HT1A</term><def><p>5-Hydroxytryptamine receptor 1A</p></def></def-item>
<def-item><term>5HT1B</term><def><p>5-Hydroxytryptamine receptor 1B</p></def></def-item>
<def-item><term>5HT2C</term><def><p>5-Hydroxytryptamine receptor 2C</p></def></def-item>
<def-item><term>5HT4</term><def><p>5-Hydroxytryptamine receptor 4</p></def></def-item>
<def-item><term>5HT6</term><def><p>5-Hydroxytryptamine receptor 6</p></def></def-item>
<def-item><term>5HT7</term><def><p>5-Hydroxytryptamine receptor 7</p></def></def-item>
<def-item><term>AgRP</term><def><p>protein related to gene agouti</p></def></def-item>
<def-item><term>cAMP</term><def><p>cyclic adenosine monophosphate</p></def></def-item>
<def-item><term>CART</term><def><p>cocaine and amphetamine-related transcript</p></def></def-item>
<def-item><term>CpGs</term><def><p>methylated cytosines follow of guanine nucleotide sites</p></def></def-item>
<def-item><term>CUMS</term><def><p>chronic unpredictable mild-life stress</p></def></def-item>
<def-item><term>CUS</term><def><p>chronic unpredictable stress</p></def></def-item>
<def-item><term>DA</term><def><p>dopamine, dopamine system</p></def></def-item>
<def-item><term>DAT</term><def><p>solute carrier family 6, neurotransmitter transporter dopamine member 3, SLC6A3</p></def></def-item>
<def-item><term>Dicer</term><def><p>microRNA-processing ribonuclease III</p></def></def-item>
<def-item><term>DRD1</term><def><p>dopamine receptor D1</p></def></def-item>
<def-item><term>DRD2</term><def><p>dopamine receptor D2</p></def></def-item>
<def-item><term>DRD3</term><def><p>dopamine receptor D3</p></def></def-item>
<def-item><term>DRD5</term><def><p>dopamine receptor D5</p></def></def-item>
<def-item><term>ELS</term><def><p>early life stress</p></def></def-item>
<def-item><term>EW</term><def><p>early weaning</p></def></def-item>
<def-item><term>has-mir-16</term><def><p>MI0000070, MI0000115</p></def></def-item>
<def-item><term>Let-7d</term><def><p>hsa-let-7d-5p, mmu-let-7d-5p, rno-let-7d-5p (MIMAT0000065, MIMAT0000383, MIMAT0000562)</p></def></def-item>
<def-item><term>miR-103</term><def><p>has-mir-103a-1 MI0000109, has-mir-103a-2 MI0000108</p></def></def-item>
<def-item><term>miR-143-3p</term><def><p>hsa-miR-143-3p, mmu-miR-143-3p, rno-miR-143-3p (MIMAT0000435, MIMAT0000247, MIMAT0000849)</p></def></def-item>
<def-item><term>miR-16-5p</term><def><p>hsa-miR-16-5p, mmu-miR-16-5p, rno-miR-16-5p (MIMAT0000069, MIMAT0000527, MIMAT0000785)</p></def></def-item>
<def-item><term>miR-200a</term><def><p>rno-miR-200a-3p, mmu-miR-200a-3p, hsa-miR-200a-3p (MIMAT0000682, MIMAT0000519, MIMAT0000874)</p></def></def-item>
<def-item><term>miR-96</term><def><p>hsa-miR-96-5p, mmu-miR-96-5p, rno-miR-96-5p (MIMAT0000095, MIMAT0000541, MIMAT0000818)</p></def></def-item>
<def-item><term>miRNAs</term><def><p>microRNAs</p></def></def-item>
<def-item><term>mmu-miR-135</term><def><p>MI0000161, MI0000715</p></def></def-item>
<def-item><term>mPFC</term><def><p>medial pre-frontal cortex</p></def></def-item>
<def-item><term>mRNA</term><def><p>Messenger RNA</p></def></def-item>
<def-item><term>MS</term><def><p>maternal separation</p></def></def-item>
<def-item><term>NAcc</term><def><p>nucleus accumbens</p></def></def-item>
<def-item><term>NPY</term><def><p>neuropeptide Y</p></def></def-item>
<def-item><term>PLC</term><def><p>prelimbic cortex</p></def></def-item>
<def-item><term>PND</term><def><p>postnatal day</p></def></def-item>
<def-item><term>POMC</term><def><p>pro-opiomelanocortin</p></def></def-item>
<def-item><term>REST</term><def><p>repressor element-1 silencing transcription factor</p></def></def-item>
<def-item><term>RNAs</term><def><p>ribonucleic acids</p></def></def-item>
<def-item><term>SERT</term><def><p>solute carrier family 6 member 4 (SLC6A4/5HTT), serotonin transporter</p></def></def-item>
<def-item><term>TH</term><def><p>tyrosine hydroxylase.</p></def></def-item>
</def-list>
</glossary>
</back>
</article>