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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2019.00337</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Is There a Role of Autophagy in Depression and Antidepressant Action?</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gassen</surname>
<given-names>Nils C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/218768"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rein</surname>
<given-names>Theo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/425409"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup><institution>Department of Psychiatry, Bonn Clinical Center</institution>, <addr-line>Bonn</addr-line>, <country>Germany</country></aff>
<aff id="aff2">
<sup>2</sup><institution>Max Planck Institute of Psychiatry</institution>, <addr-line>Munich</addr-line>, <country>Germany</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Filippo Drago, Universit&#xe0; degli Studi di Catania, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jaanus Harro, University of Tartu, Estonia; Francesco Fornai, University of Pisa, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Theo Rein, <email xlink:href="mailto:theorein@psych.mpg.de">theorein@psych.mpg.de</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Molecular Psychiatry, a section of the journal Frontiers in Psychiatry</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>05</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="collection">
<year>2019</year>
</pub-date>
<volume>10</volume>
<elocation-id>337</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>09</month>
<year>2018</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>04</month>
<year>2019</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2019 Gassen and Rein</copyright-statement>
<copyright-year>2019</copyright-year>
<copyright-holder>Gassen and Rein</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>Autophagy has been recognized as evolutionary conserved intracellular pathway that ensures energy, organelle, and protein homeostasis through lysosomal degradation of damaged macromolecules and organelles. It is activated under various stress situations, e.g., food deprivation or proteotoxic conditions. Autophagy has been linked to several diseases, more recently also including stress-related diseases such as depression. A growing number of publications report on the role of autophagy in neurons, also referred to as &#x201c;neuronal autophagy&#x201d; on the one hand, and several studies describe effects of antidepressants&#x2014;or of compounds that exert antidepressant-like actions&#x2014;on autophagy on the other hand. This minireview highlights the emerging evidence for the involvement of autophagy in the pathology and treatment of depression and discusses current limitations as well as potential avenues for future research.</p>
</abstract>
<kwd-group>
<kwd>autophagy</kwd>
<kwd>depression</kwd>
<kwd>antidepressant</kwd>
<kwd>stress</kwd>
<kwd>FKBP51 signalling</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Alliance for Research on Schizophrenia and Depression<named-content content-type="fundref-id">10.13039/100009670</named-content>
</contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="109"/>
<page-count count="8"/>
<word-count count="3750"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Depression Is a Prevalent and Severe Disease</title>
<p>Worldwide, depression is one of the most frequent clinical conditions and the leading cause of disability affecting more than 300 million people of all ages, according to World Health Organization (WHO) statistics (<uri xlink:href="http://www.who.int/news-room/fact-sheets/detail/depression">http://www.who.int/news-room/fact-sheets/detail/depression</uri>). Depression is characterized by a cluster of symptoms that include depressed mood, fear, feelings of worthlessness, loss of energy and interest, reduced responsiveness to pleasurable stimuli, lack of appetite, cognitive impairment, and sleep disturbances (<xref ref-type="bibr" rid="B1">1</xref>). A high percentage of seriously depressed patients receive no appropriate treatment, even in developed countries (<xref ref-type="bibr" rid="B2">2</xref>). Suicidal ideation is a further characteristic of depression and up to 15% of severely depressed individuals commit suicide. Depression represents also a major independent risk factor for other diseases like cardiovascular disease, dementia, diabetes, and osteoporosis (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>The high complexity of this mental disorder accounts for the difficulties in elucidating its molecular underpinnings. Overall, it has been increasingly accepted that a multitude of factors ranging from genetic predisposition to environmental challenges contribute to the pathophysiology of depression. In addition to the analysis of specific targets, research efforts increasingly resort to screening platforms to probe the genome, epigenome, etc. in an unbiased way. Examples of the major specific systems under investigation are monoaminergic, glutamatergic, and stress hormone systems, neuropeptides as modulators of the neuronal cell function including neurogenesis, neuronal morphology, and intracellular signaling pathways.</p>
<p>In genetics, huge efforts produced intriguing results; however, the field is haunted by the lack of consistency and reproducibility [for a recent review, see Ref. (<xref ref-type="bibr" rid="B5">5</xref>)]. Thus, increasingly large cohorts are investigated, and meta-analyses are employed to probe several hundred thousands of individuals (<xref ref-type="bibr" rid="B6">6</xref>). Nevertheless, not the least due to the difficulties to move from gene association to molecular mechanism, hypothesis-driven approaches continue to be pursued intensely.</p>
<p>Monoamine deficiency was the first hypothesis unfolded over several years, tracing back more than half a century, and probably is the most influential one (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). It postulates lack of monoaminergic neurotransmitters and thus impaired synaptic neurotransmission as cause for depression; several newer antidepressant drugs were developed based on this hypothesis. Other examples include glutamatergic dysfunction and the corticosteroid hypothesis of depression (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>). A vast array of studies supports the link between the stress hormone system and depression (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). More specifically, impaired corticosteroid receptor function has been suggested to result in inappropriately high secretions of corticotropin releasing hormone (CRH), vasopressin, adrenocorticotropin, and cortisol (<xref ref-type="bibr" rid="B9">9</xref>). A role of autophagy in depression is a more recent hypothesis put forward (<xref ref-type="bibr" rid="B11">11</xref>), which can be viewed as one of the ramifications of the stress response as outlined below.</p>
</sec>
<sec id="s2">
<title>Autophagy Is a Cellular Homeostasis Process and Part of the Stress Response</title>
<p>Autophagy is a pivotal process to ensure homeostasis of cells, and thus of tissues and the organism, in physiological as well as pathological situations (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). This highly conserved mechanism leads to the degradation of damaged cytosolic proteins, aggregates, organelles, and also pathogens through a step-wise process. The basic mechanism is detailed in several excellent reviews (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>), so it is described here only briefly: Autophagy involves a series of autophagy-related genes (ATGs), originally identified in yeast. Initially, membrane material is excised, most likely from the endoplasmic reticulum, giving rise to a membrane sac that is further expanded to form a double membrane vesicle called autophagosome. To be degraded material is enclosed into this vesicle; selected additional material can be transferred into the autophagosome. Degradation is achieved upon fusion with lysosomes to form autolysosomes: From the initial isolation of membrane material needed for the formation of autophagosomes to the final fusion step, autophagy involves a number of proteins governing membrane dynamics (<xref ref-type="bibr" rid="B16">16</xref>). There are different types of autophagy, with macroautophagy being the most commonly described one (<xref ref-type="bibr" rid="B15">15</xref>); this review only deals with macroautophagy, because research on the emerging subject of neuronal autophagy did not yet aim at specifying the type of autophagy.</p>
<p>The crucial physiological role of autophagy is reflected in its links to several diseases and the increasing efforts to exploit this process for pharmacological intervention (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). Initially, autophagy was identified as response to calorie restriction to maintain energy homeostasis (<xref ref-type="bibr" rid="B22">22</xref>). Today, several pharmacological and environmental factors are known to induce autophagy, in particular various kinds of stressors (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Thus, autophagy is an important facet of the stress response, and like the stress response in general, autophagy is a beneficial process, but excess activation can be detrimental under certain conditions (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). For example, apoptosis (often referred to as Type I cell death) and autophagy are considered mutually exclusive (<xref ref-type="bibr" rid="B13">13</xref>). Others debate this exclusiveness and argue that excessive autophagy can cause type II cell death characterized by the formation of large autophagic vacuoles (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>Chronic stress in mice, which frequently is used to model depression (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>), also has been reported to enhance autophagy [for recent examples, see Refs. (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>)]. The observation that a further increase in autophagic markers goes along with the reversal of the behavioral effects again argues in favor of autophagy being a beneficial component of the stress response in general (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Nevertheless, evidence also has been provided for a role of autophagy induction for depressive-like behavior and cognitive impairment induced by prenatal stress (<xref ref-type="bibr" rid="B31">31</xref>). Very recently, inhibition of autophagy was shown to attenuate the induction of depressive-like behavior by ecstasy in rats (<xref ref-type="bibr" rid="B32">32</xref>).</p>
</sec>
<sec id="s3">
<title>Autophagy in Depression: Evidence From Disease and Disease Model Studies</title>
<p>In human, a study using a small sample size found elevated expression of autophagy genes in blood mononuclear cells from individuals suffering from major depression in comparison to healthy controls (<xref ref-type="bibr" rid="B33">33</xref>). Similarly, decreased mRNA expression of AKT1 and mTOR was found in individuals with short-term bipolar disorder compared to healthy controls (<xref ref-type="bibr" rid="B34">34</xref>), which might lead to the induction of autophagy. Similarly, a post-mortem study revealed compromised mTOR signaling in the prefrontal cortex in major depressive disorder (<xref ref-type="bibr" rid="B35">35</xref>). How could this be reconciled with the observation that enhanced autophagy response in blood mononuclear cells to <italic>ex vivo</italic> antidepressant treatment predicts clinical treatment success (<xref ref-type="bibr" rid="B36">36</xref>)? Similar to the stress response in general, autophagy is a beneficial response up to a certain limit, so we hypothesize that this adaptation might be insufficient in some (disease) cases and needs further boosting through various kinds of treatments.</p>
<p>Short-term calorie restriction, one of the most efficient inducers of autophagy (<xref ref-type="bibr" rid="B22">22</xref>), has been reported to have antidepressant effects in human and antidepressant-like effects in mice, while the effects of long-term calorie restriction are controversial (<xref ref-type="bibr" rid="B37">37</xref>). Likewise, physical exercise has been shown both to enhance autophagy (<xref ref-type="bibr" rid="B38">38</xref>) and to reduce depressive symptoms in human (<xref ref-type="bibr" rid="B39">39</xref>). Nevertheless, given the plethora of effects of both calorie restriction and exercise, these studies only provide a rather vague support of a potential link between autophagy and depression.</p>
<p>Studies more directly documenting a link of autophagy to psychiatric disease mainly were performed with animal models, with all the debated limitations that come with animal models that try to replicate aspects of depression (<xref ref-type="bibr" rid="B27">27</xref>). Maternal separation (<xref ref-type="bibr" rid="B40">40</xref>) increased autophagic markers in the prefrontal cortex, but not in the hippocampus (<xref ref-type="bibr" rid="B41">41</xref>). This is mimicked by the differential effect of corticosterone in primary astrocytes from these brain regions (<xref ref-type="bibr" rid="B42">42</xref>), while another study found that prenatal stress significantly elevated autophagy markers in the hippocampus of male offspring (<xref ref-type="bibr" rid="B31">31</xref>). On the other hand, signs of decreased autophagy also have been reported in depression-relevant animal models. For example, chronic unpredictable stress decreased autophagic markers (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). LPS as well as unpredictable chronic mild stress induced depression-like symptoms in rodents along with reduced expression of autophagic markers (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Furthermore, inhibition of the autophagy initiator Beclin1 (<xref ref-type="bibr" rid="B47">47</xref>) induced depression-like behavioral changes in mice (<xref ref-type="bibr" rid="B48">48</xref>). Thus, no consistent picture of enhanced or reduced autophagy in depression yet emerges from animal models. Further, it is difficult to conclude about functional autophagy, as flux assays or determining turnover of long-lived proteins is complicated to perform in mice.</p>
</sec>
<sec id="s4">
<title>Autophagy in Depression: Evidence From Treatment Effects</title>
<p>Given the scarcity of studies on disease correlation, the hypothesis that autophagy is involved in depression mainly is based on the effects of antidepressants on autophagy. One of the earliest hints for a role of antidepressants in autophagy was the observation of autophagy-associated structures in the cytoplasm upon treatment of cells with the tricyclic antidepressant clomipramine (chlorimipramine) (<xref ref-type="bibr" rid="B49">49</xref>). This phenomenon could be caused by either induction of autophagy or blocking the autophagy flux, thus actually blocking functional autophagy. It should be noted here that the conclusion of active autophagy often is based on the mere appearance of autophagic markers, which is not correct in the absence of experiments assessing the autophagic flux or turnover of long-lived proteins (<xref ref-type="bibr" rid="B50">50</xref>). Employing appropriate experiments, it was shown later that desmethylclomipramine, the active metabolite of clomipramine, interferes with the autophagic flux and thus functional autophagy (<xref ref-type="bibr" rid="B51">51</xref>). In contrast to the effect of clomipramine, another tricyclic antidepressant, amitriptyline, was found to increase autophagy in primary neurons and astrocytes, similarly to the selective serotonin reuptake inhibitor citalopram; however, the selective serotonin and noradrenaline reuptake inhibitor venlafaxine did not alter autophagy (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). Thus, it appears that antidepressants diversely impact functional autophagy, possibly also in a cell-type-dependent manner.</p>
<p>Conspicuously, the canonical autophagy inducer rapamycin has been found to exert antidepressant-like effects (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>), emphasizing the role of the mTOR pathway (<xref ref-type="bibr" rid="B56">56</xref>). Conversely, several other established antidepressants and compounds that are reported to exert antidepressant-like effects were shown to modulate autophagy in various experimental models. Among the established antidepressants are the tricyclic antidepressants desipramine, nortriptyline, and imipramine, the tetracyclic antidepressants maprotiline and mianserin, the noradrenergic and serotonergic antidepressant mirtazapine, the selective serotonin reuptake inhibitors fluoxetine (Prozac), sertraline, and paroxetine, the serotonin-norepinephrine reuptake inhibitor desvenlafaxine, the atypical antidepressant agomelatine, lithium [for a review, see Ref. (<xref ref-type="bibr" rid="B57">57</xref>)], and the anticonvulsant valproic acid. Further drugs with both antidepressant-like effects and impact on autophagy include trehalose, hypericin, which is one of the principal components of Saint John&#x2019;s wort, Salvianolic acid B, rosiglitazone, silibinin, dapsone, geldanamycin, &#x3b1;-tocopherol, and extracts of Euryale ferox Salisb (see Table 1 for more details and citations). Of note, also electroconvulsive therapy, which particularly is used for severe or treatment-resistant depression (<xref ref-type="bibr" rid="B58">58</xref>), was reported to enhance autophagy (<xref ref-type="bibr" rid="B59">59</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Overview of the various autophagy-impacting compounds that are used as antidepressants or reported to exert antidepressant-like effects in animal models.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top">Compound/Antidepressant</th>
<th valign="top">Experimental system</th>
<th valign="top">Results, autophagic markers</th>
<th valign="top">Flux, LLP</th>
<th valign="top">Citation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2">Clomipramine*, Desmethyl-clomipramine</td>
<td valign="top">Human glioma cells</td>
<td valign="top">Autophagy-associated structures</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B49">49</xref>)</td>
</tr>
<tr>
<td valign="top">HeLa Cells, ATG5<sup>-/-</sup>MEFs</td>
<td valign="top">LC3BII/I up, increase in DM structures, flux blocked, LLP degradation down</td>
<td valign="top">yes</td>
<td valign="top">(<xref ref-type="bibr" rid="B51">51</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="3">Amitriptyline*</td>
<td valign="top">Primary rat astrocytes and neurons, ATG5<sup>-/-</sup>MEFs</td>
<td valign="top">Increased autophagy (LC3BII/I, Beclin1 up)</td>
<td valign="top">yes</td>
<td valign="top">(<xref ref-type="bibr" rid="B52">52</xref>)</td>
</tr>
<tr>
<td valign="top">Mouse stress model, patient blood cells, HEK cells, rat cortical astrocytes</td>
<td valign="top">ATG12, LC3II/I, Beclin1, pAkt1 and VPS34 were up, increased flux</td>
<td valign="top">yes</td>
<td valign="top">(<xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="top">Corticosterone-stressed mice</td>
<td valign="top">Increased autolysosomes, affects pBeclin, pULK, increased p62</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B48">48</xref>)</td>
</tr>
<tr>
<td valign="top">Citalopram*</td>
<td valign="top">Primary rat astrocytes and neurons</td>
<td valign="top">Increased LC3BII/I and Beclin1</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B52">52</xref>)</td>
</tr>
<tr>
<td valign="top">Venlafaxine*</td>
<td valign="top">Primary rat astrocytes and neurons</td>
<td valign="top">No effect</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B52">52</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2">Desipramine*</td>
<td valign="top">C6 glioma cells</td>
<td valign="top">Inhibition of mTor pathway, increased Beclin1, LC3, autophagosomes</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B60">60</xref>)</td>
</tr>
<tr>
<td valign="top">L929 cells<break/>ATG7<sup>-/-</sup> MEFs</td>
<td valign="top">Autophagy induction (LC3II/I up, p62 down,</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B61">61</xref>)</td>
</tr>
<tr>
<td valign="top">Nortriptyline*</td>
<td valign="top">High content chemical screen in HeLa cells</td>
<td valign="top">Autophagy induction (LC3II/I, flux)</td>
<td valign="top">yes</td>
<td valign="top">(<xref ref-type="bibr" rid="B62">62</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="3">Imipramine*</td>
<td valign="top">Glioma cells, mouse models of gliomagenesis</td>
<td valign="top">Upregulation of LC3II/I, increased flux, more autophagic vacuoles</td>
<td valign="top">Yes (cells)</td>
<td valign="top">(<xref ref-type="bibr" rid="B63">63</xref>)</td>
</tr>
<tr>
<td valign="top">THP-1 cells, depressed patients, ATG5<sup>-/-</sup>MEFs</td>
<td valign="top">mRNA of LC3 and Beclin1 up, LC3II/I up</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
<tr>
<td valign="top">U-87MG glioma cells</td>
<td valign="top">Inhibition of PI3K/Akt/mTOR signaling, LC3II/I up</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B65">65</xref>)</td>
</tr>
<tr>
<td valign="top">Maprotiline*</td>
<td valign="top">Burkitt&#x2019;s lymphoma cell line</td>
<td valign="top">Beclin1 up, more cytoplasmic vacuoles</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B66">66</xref>)</td>
</tr>
<tr>
<td valign="top">Mianserin*</td>
<td valign="top">THP-1 cells, depressed patients</td>
<td valign="top">mRNA of LC3 and Beclin1 up</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
<tr>
<td valign="top">Mirtazapine*</td>
<td valign="top">THP-1 cells, depressed patients, ATG5<sup>-/-</sup>MEFs</td>
<td valign="top">mRNA of LC3 and Beclin1 up, LC3II/I up</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="5">Fluoxetine*</td>
<td valign="top">Human breast cancer cell lines</td>
<td valign="top">Upregulation of LC3II/I, Beclin1, ATG5; p62 down</td>
<td valign="top">yes</td>
<td valign="top">(<xref ref-type="bibr" rid="B67">67</xref>)</td>
</tr>
<tr>
<td valign="top">Human adipose-derived stem cells, mature adipocytes</td>
<td valign="top">Upregulation of LC3II/I, ATG12, SQSTM1, Beclin1, ATG7</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B68">68</xref>)</td>
</tr>
<tr>
<td valign="top">Brain injury in rats</td>
<td valign="top">Upregulation of Beclin1, LC3 punctae</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B69">69</xref>)</td>
</tr>
<tr>
<td valign="top">Stress model in rats</td>
<td valign="top">Upregulation of Beclin1 and LC3II increased PI3K/Akt/mTOR activity.</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B43">43</xref>)</td>
</tr>
<tr>
<td valign="top">Burkitt&#x2019;s lymphoma cell line</td>
<td valign="top">Beclin1 up, more cytoplasmic vacuoles</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B66">66</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2">Sertraline*</td>
<td valign="top">Non&#x2013;small cell lung cancer cells</td>
<td valign="top">LC3II up, increased flux, autolysosome formation</td>
<td valign="top">yes</td>
<td valign="top">(<xref ref-type="bibr" rid="B70">70</xref>)</td>
</tr>
<tr>
<td valign="top">AML cell lines</td>
<td valign="top">LC3II/I increased</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B71">71</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2">Paroxetine*</td>
<td valign="top">THP-1 cells, depressed patients</td>
<td valign="top">mRNA of LC3 and Beclin1 up</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
<tr>
<td valign="top">Mouse stress model, patient blood cells, HEK cells, rat cortical astrocytes</td>
<td valign="top">ATG12, LC3II/I, Beclin1, pAkt1 and VPs34 were up, increased flux</td>
<td valign="top">yes</td>
<td valign="top">(<xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="top">Desvenlafaxine*</td>
<td valign="top">THP-1 cells, depressed patients</td>
<td valign="top">mRNA of LC3 and Beclin1 up</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
<tr>
<td valign="top">Agomelatine<sup>#</sup>
</td>
<td valign="top">THP-1 cells, depressed patients</td>
<td valign="top">mRNA of LC3 and Beclin1 up</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2">Lithium*</td>
<td valign="top">ALS mouse model</td>
<td valign="top">Increased number of autophagic vacuoles (Beclin1 and LC3)</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B72">72</xref>)</td>
</tr>
<tr>
<td valign="top">Prion-infected cells</td>
<td valign="top">LC3II/I and flux increased</td>
<td valign="top">yes</td>
<td valign="top">(<xref ref-type="bibr" rid="B73">73</xref>)</td>
</tr>
<tr>
<td valign="top">VPA*</td>
<td valign="top">Human glioma cell lines</td>
<td valign="top">LC3II/I and Beclin1 increased</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B74">74</xref>)</td>
</tr>
<tr>
<td valign="top">Ketamine*</td>
<td valign="top">Human epithelial cells</td>
<td valign="top">LC3II/I and Beclin1 increased</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B75">75</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2">Trehalose</td>
<td valign="top">Mouse model of manic-like behaviors</td>
<td valign="top">Reduced ratio of p62/beclin1 in the frontal cortex</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B76">76</xref>)</td>
</tr>
<tr>
<td valign="top">Diverse mammalian cells, ATG5<sup>-/-</sup>MEFs</td>
<td valign="top">Increased LC3II/I, flux</td>
<td valign="top">yes</td>
<td valign="top">(<xref ref-type="bibr" rid="B77">77</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2">Hypericin</td>
<td valign="top">Human macrophages</td>
<td valign="top">LC3II/I and Beclin1 up, p62 down, only in combination with ultrasound</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B78">78</xref>)</td>
</tr>
<tr>
<td valign="top">Leishmania promastigotes</td>
<td valign="top">mRNA of AMPK up, ATGs diversely regulated</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B79">79</xref>)</td>
</tr>
<tr>
<td valign="top">Salvianolic acid B</td>
<td valign="top">Depression model in rats</td>
<td valign="top">Compound restores treatment-induced impairment of autophagy (LC3II/I, Beclin1)</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B46">46</xref>)</td>
</tr>
<tr>
<td valign="top">Rosiglitazone*</td>
<td valign="top">Depression mouse model, N2a cells, primary neurons</td>
<td valign="top">Increases Beclin1, ULK1, LC3II/I, pAMPK, and pAKT1, decreases p62 in stressed mice</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B45">45</xref>)</td>
</tr>
<tr>
<td valign="top">Silibinin<sup>#</sup>
</td>
<td valign="top">Depression mouse model</td>
<td valign="top">Decreased LC3II/I</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B80">80</xref>)</td>
</tr>
<tr>
<td valign="top">Dapsone*</td>
<td valign="top">Cognition-compromised rats</td>
<td valign="top">Enhanced LC3II/I and Beclin1, decreased p62</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B81">81</xref>)</td>
</tr>
<tr>
<td valign="top">Geldanamycin</td>
<td valign="top">Rat model of anxiety and depression</td>
<td valign="top">Atg12, Atg7, and LC3II/I increased</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B82">82</xref>)</td>
</tr>
<tr>
<td valign="top">&#x3b1;-tocopherol*</td>
<td valign="top">Mouse model of depression</td>
<td valign="top">Enhanced LC3II/I, pAMPK decreased p62, pmTOR</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B44">44</xref>)</td>
</tr>
<tr>
<td valign="top">Euryale ferox Salisb extracts</td>
<td valign="top">Mouse model of depression, HT22 cells</td>
<td valign="top">Enhanced LC3II/I, pAMPK decreased p62, pmTOR</td>
<td valign="top">no</td>
<td valign="top">(<xref ref-type="bibr" rid="B83">83</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>*Labels drugs approved by the United States Food and Drug Administration. <sup>#</sup>Approved in the European Union. LLP, assay to determine the stability of long-lived proteins; DM, double membrane; MEF, mouse embryonic fibroblasts; VPA, valproic acid; AML, acute myeloid leukemia; ALS, amyotrophic lateral sclerosis.</p>
</table-wrap-foot>
</table-wrap>
<p>Mechanistically, antidepressants appear to address various pathways to impact autophagy. For example, FKBP51, which is a glucocorticoid receptor and stress regulator linked to psychiatric diseases (<xref ref-type="bibr" rid="B84">84</xref>&#x2013;<xref ref-type="bibr" rid="B86">86</xref>), has been shown to be required for the effects of antidepressants on both autophagy and depressive-like behavior (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B87">87</xref>). Another very recent study discovered that the previously reported effects of antidepressants on the acid sphingomyelinase (ASM) (<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B89">89</xref>) trigger a pathway leading to upregulation of autophagy, which is required for the behavioral effects in mice (<xref ref-type="bibr" rid="B48">48</xref>). More specifically, this pathway involves the accumulation of antidepressants in lysosomes, where they inhibit ASM. This leads to an increase in sphingomyelin and finally of ceramide in the endoplasmic reticulum. Ceramide, in turn, activates the phosphatase PP2A, which stimulates the kinase ULK, a known activator of autophagy (<xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>Of the pleiotropic effects of the mood stabilizer lithium (<xref ref-type="bibr" rid="B90">90</xref>), its autophagy-inducing action does not operate through GSK3&#x3b2;, but by inhibition of inositol monophosphatase (<xref ref-type="bibr" rid="B91">91</xref>). Despite first glimpses, overall there is considerable lack of mechanistic understanding of how antidepressants link to autophagy. This is partly due to the incomplete knowledge about the molecular interaction partners of antidepressants. Progress in this direction (<xref ref-type="bibr" rid="B92">92</xref>) will help elucidating the molecular connection to autophagy. This may also contribute to sorting the actions of antidepressants, because not everything antidepressants do has to be related to depression treatment. Another long-standing conundrum in understanding how antidepressants work is the observation that clinical effects typically take weeks to become manifest, while known targets like neurotransmitter transporters are affected immediately. It is unlikely that autophagy will offer an obvious solution. Arguably, it contributes to starting a process of neuronal reorganization that ultimately constitutes the transition from disease to health (cf. <xref ref-type="fig" rid="f1">
<bold>Figure 1</bold>
</xref>). Neurogenesis might be part of this process, as extensively discussed elsewhere (<xref ref-type="bibr" rid="B93">93</xref>). In this context, it is intriguing that autophagy increases adult neurogenesis (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B95">95</xref>); thus, it is possible that antidepressants and lithium operate, at least in part, through autophagy to induce neurogenesis (<xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B96">96</xref>).</p>
<fig id="f1" position="float">
<label>Figure 1</label>
<caption>
<p>Autophagy as part of antidepressant action. To move from diseased (depressed) to healthy state, ultimately a change in neuronal activity is required (A). To achieve this, several ways of antidepressant actions are proposed including effects on hormonal systems, immune system, and neurogenesis, which all might be intertwined with autophagy (<xref ref-type="bibr" rid="B97">97</xref>); this figure focuses on synaptic neurotransmission. The by far most often described effect of antidepressants on synaptic neurotransmission operates through directly blocking neurotransmitter reuptake transporters (part of the membrane proteins, (B). These transporters may also be addressed through signaling pathways that regulate their expression and/or function (C), not part of this review). The role of autophagy in antidepressant action frequently is explained by maintaining protein homeostasis in general, and the functional integrity of membrane proteins involved in synaptic neurotransmission in particular (D). These membrane proteins comprise not only transport proteins, but also, e.g., presynaptic SNARE proteins engaged in neurotransmission. Given the similarity of membrane dynamic processes in autophagy and synaptic neurotransmission, and to reconcile the diverse findings of antidepressant effects on autophagy, we also discussed the hypothesis that antidepressants address pathways that change membrane organization, directly linking to synaptic neurotransmission (E).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-10-00337-g001.tif"/>
</fig>
<p>The vast majority of publications report an increase in autophagy by antidepressants. This is also the case for the fast-acting antidepressant ketamine (<xref ref-type="bibr" rid="B75">75</xref>), even though it is known to enhance mTOR activity (<xref ref-type="bibr" rid="B98">98</xref>). However, as alluded to above, flux assays are missing in many studies (cf. <xref ref-type="fig" rid="f1">
<bold>Table 1</bold>
</xref>), which may lead to erroneous interpretation and conflicting results. More specifically, many of these reports merely observed an upregulation of autophagic markers, for example, lipidation of LC3B (i.e., an increase in the ratio of LC3II/I), which is not sufficient to make conclusions about functional autophagy. Overall it appears more likely that antidepressants diversely affect autophagy. Another important issue is the concentration at which antidepressants are administered in experimental models. This concentration typically is in the range of 10 &#xb5;M n cell culture or 10 mg/kg in animal experiments, sometimes even higher. While it has been reported that similar doses can be reached in the brain (<xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B100">100</xref>), effects reached at concentrations based on the results of therapeutic drug monitoring (<xref ref-type="bibr" rid="B101">101</xref>) may more closely mimic the clinical situation. For example, paroxetine (used at the therapeutic drug dose of 120 ng/ml = 0.9 &#xb5;M) and amitriptyline (used at the therapeutic drug dose of 120 mg/ml = 0.37 &#xb5;M) enhanced the expression of autophagy markers in blood mononuclear cells from depressed patients exposed to these reduced concentrations <italic>ex vivo</italic> (<xref ref-type="bibr" rid="B36">36</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion and Outlook</title>
<p>Over the last few years, several studies provided evidence for a link of autophagy to the pathophysiology and treatment of depression. Despite impressive progress, the mechanism is far from being understood. This is not surprising for a complex disease like depression, which poses particular experimental challenges and epistemological limitations, as exemplified by the complex mechanisms linking stress with depressive behavior. The molecular effects of antidepressants ultimately need to produce alterations in the pattern of neuronal activity that underlie the transition between diseased and healthy status (<xref ref-type="fig" rid="f1">
<bold>Figure 1</bold>
</xref>). This means that some neuronal activity needs to be decreased and some needs to be increased. Interestingly, neuronal stimulation not only induces autophagy (<xref ref-type="bibr" rid="B102">102</xref>); increased autophagy also impacts synaptic function. For example, induction of autophagy by mTOR inhibition in presynaptic terminals rapidly alters presynaptic structure and reduces neurotransmission (<xref ref-type="bibr" rid="B103">103</xref>). Conversely, loss of autophagy slows down synaptic neurotransmission while gain of autophagy increases it (<xref ref-type="bibr" rid="B104">104</xref>). The latter finding has been conceptualized by the function of autophagy in protein homeostasis by removing damaged proteins, in this case those involved in synaptic vesicle exocytosis in particular (<xref ref-type="bibr" rid="B104">104</xref>, <xref ref-type="bibr" rid="B105">105</xref>). Intriguingly in a mouse model of learnt helplessness evoking depressive-like behavior, decreased levels of the presynaptic vesicle membrane docking and fusion SNARE protein Snap25a occur along with impaired autophagy; administration of fluoxetine attenuates both these effects (<xref ref-type="bibr" rid="B106">106</xref>). The SNARE proteins are important components of the membrane reorganizing machinery at the synaptic membrane, and there is an interdependence between autophagy and synaptic vesicle trafficking (<xref ref-type="bibr" rid="B107">107</xref>, <xref ref-type="bibr" rid="B108">108</xref>). In addition, electroconvulsive therapy enhances not only autophagic markers (<xref ref-type="bibr" rid="B59">59</xref>) but also the membrane trafficking machinery (<xref ref-type="bibr" rid="B109">109</xref>).</p>
<p>In light of the presumably diverse impact of antidepressants on autophagy, enhanced recycling of distinct synaptic proteins by inducing autophagy is unlikely to fully picture the mechanism of antidepressants. Given the fact that autophagy needs the activity of a number of membrane reorganizing and membrane trafficking proteins, we consider it plausible that processes impacting autophagy may also impact membrane reorganizing processes at the synapse, and thus would not require the later steps autophagy (cf. <xref ref-type="fig" rid="f1">
<bold>Figure 1</bold>
</xref>). In general, these processes could be fast, because they do not necessarily require the synthesis of new proteins. They could limit synaptic neurotransmission when autophagy and neurotransmission compete for additional membrane material; conversely, autophagy would promote neurotransmission if there are shared mechanisms for the generation and fusion of membrane material. Thus, it will be of great interest to learn about the conditions under which autophagy increases or decreases synaptic neurotransmission, possibly in a neurotransmitter-specific fashion.</p>
<p>Experiments employing genetic and pharmacological intervention strategies are needed to finally proof the involvement of functional autophagy in antidepressant action and to disentangle the mechanism including the level of synaptic neurotransmission. More specifically, (conditional) knock-outs of central autophagy genes are available in mice. The high interest in autophagy modulators has led to the discovery of a range of novel autophagy inducers and inhibitors, which can be tested in animal models in depression. While compounds that inhibit autophagy through blocking the fusion between autophagosome and lysosome frequently elicit toxic effects when applied over a long period of time, they might be useful for assessing the role of autophagy in the immediate actions of antidepressants in some test regimes such as the forced swim test. It will also be interesting to learn whether and how antidepressants can be grouped according to their impact on autophagy. This categorization may not follow the pattern of their mechanism so far known. Finally, it should be investigated whether the dose dependency for autophagy induction by antidepressants is the same as or at least similar to the therapeutic doses.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>TR drafted the manuscript. NG added critical information.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This work was partially funded by a NARSAD Young Investigator Award by Brain and Behavior Research Foundation, honored by P&amp;S Fund (to NG, Grant ID 25348).</p>
</sec>
<sec id="s8">
<title>Conflict of Interest Statement</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>
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