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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.2021.780975</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association of VEGF With Antianhedonic Effects of Repeated-Dose Intravenous Ketamine in Treatment-Refractory Depression</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zheng</surname> <given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/900901/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gu</surname> <given-names>Li-Mei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Yan-Ling</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/959943/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Cheng-Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lan</surname> <given-names>Xiao-Feng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Bin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/373922/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Shi</surname> <given-names>Hai-Shan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Dan-Feng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ning</surname> <given-names>Yu-Ping</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>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/406575/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital)</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>The First School of Clinical Medicine, Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Celia J. A. Morgan, University of Exeter, United Kingdom</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Polymnia Georgiou, University of Maryland, Baltimore, United States; Giovanni Martinotti, University of Studies G. d&#x00027;Annunzio Chieti and Pescara, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Yu-Ping Ning <email>ningjeny&#x00040;126.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Psychopharmacology, a section of the journal Frontiers in Psychiatry</p></fn></author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>780975</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Zheng, Gu, Zhou, Wang, Lan, Zhang, Shi, Wang and Ning.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Zheng, Gu, Zhou, Wang, Lan, Zhang, Shi, Wang and Ning</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><bold>Objectives:</bold> To first explore the role of plasma vascular endothelial growth factor (VEGF) concentrations in ketamine&#x00027;s antianhedonic effects, focusing on Chinese patients with treatment-refractory depression (TRD).</p>
<p><bold>Methods:</bold> Seventy-eight patients with treatment-refractory major depressive disorder (MDD) or bipolar disorder (BD) were treated with six ketamine infusions (0.5 mg/kg). Levels of anhedonia were measured using the Montgomery&#x02013;&#x000C5;sberg Depression Rating Scale (MADRS) anhedonia item at baseline, day 13 and 26. Plasma VEGF concentrations were examined at the same time points as the MADRS.</p>
<p><bold>Results:</bold> Despite a significant reduction in anhedonia symptoms in individuals with treatment-refractory MDD (<italic>n</italic> = 59) or BD (<italic>n</italic> = 19) after they received repeated-dose ketamine infusions (<italic>p</italic> &#x0003C; 0.05), no significant changes in plasma VEGF concentrations were found at day 13 when compared to baseline (<italic>p</italic> &#x0003E; 0.05). The alteration of plasma VEGF concentrations did not differ between antianhedonic responders and non-responders at days 13 and 26 (all <italic>p</italic>s &#x0003E; 0.05). Additionally, no significant correlations were observed between the antianhedonic response to ketamine and plasma VEGF concentrations (all <italic>p</italic>s &#x0003E; 0.05).</p>
<p><bold>Conclusion:</bold> This preliminary study suggests that the antianhedonic effects of ketamine are not mediated by VEGF.</p></abstract>
<kwd-group>
<kwd>ketamine</kwd>
<kwd>VEGF</kwd>
<kwd>antianhedonic effect</kwd>
<kwd>major depressive disorder</kwd>
<kwd>response</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="6"/>
<word-count count="4356"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Anhedonia, a reduced capacity for pleasure, is regarded as one of the typical characteristics of major depressive disorder (MDD) and bipolar depression (BD) (<xref ref-type="bibr" rid="B1">1</xref>) and appears to occur irrespective of other depressive symptoms (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Anhedonia is a robust predictor of poor outcomes (<xref ref-type="bibr" rid="B4">4</xref>) and suicidal ideation independent of neurocognitive dysfunction and affective symptoms (<xref ref-type="bibr" rid="B5">5</xref>), suggesting that it appears to be an independent somatic domain in mood disorders (<xref ref-type="bibr" rid="B3">3</xref>). As a residual interepisodic symptom, anhedonia has been commonly described in patients suffering from treatment-refractory depression (TRD) treated with conventional pharmacotherapy (<xref ref-type="bibr" rid="B6">6</xref>). Patients with mood disorders, especially those with TRD, frequently endorse disturbance in reward capacity, providing the impetus for exploring novel agents and treatment approaches (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Ketamine, as a dissociative anesthetic, is currently evaluated as a rapid-acting antidepressant. In addition to the rapid effect on depressive symptoms, ketamine also has rapid and robust effects on anhedonia symptoms (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>) and suicidal ideation (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>) in treatment-refractory BD and MDD. When compared with placebo, a single ketamine infusion could rapidly ameliorate anhedonia symptoms in individuals suffering from treatment-refractory BD; the reduction in anhedonia symptoms occurred within 40 min and lasted up to 14 days (<xref ref-type="bibr" rid="B10">10</xref>). Interestingly, ketamine&#x00027;s antianhedonic effects occur independently of the reduction in depressive symptoms (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Accumulating evidence has implicated neurotrophic factors including brain-derived neurotrophic factor (BDNF) (<xref ref-type="bibr" rid="B14">14</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>) and vascular endothelial growth factor (VEGF) (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>) in the MDD and BD pathophysiology. VEGF can potentially mediate the antidepressant effects of ketamine (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>) and typical antidepressants (<xref ref-type="bibr" rid="B20">20</xref>). Similarly, serum BDNF levels were increased in chronic ketamine users (<xref ref-type="bibr" rid="B21">21</xref>) and change in plasma BDNF levels following subanesthetic ketamine infusion are associated with acute and 24 h resting-state functional connectivity (RSFC) changes (<xref ref-type="bibr" rid="B22">22</xref>). Findings on the association of VEGF and ketamine&#x00027;s antidepressant effects have been inconsistent (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). For example, the expression of VEGF is necessary for the antidepressant-like behaviors of ketamine (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). A recent study supported a role for VEGF in the antidepressant action of ketamine (<xref ref-type="bibr" rid="B25">25</xref>), but two recent studies found that ketamine does not change the plasma concentrations of VEGF (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). However, evidence on the role of plasma VEGF concentrations in ketamine&#x00027;s antianhedonic effects is still lacking.</p>
<p>Therefore, the main aim of this current study, which employed a real-world design, is to determine the role of plasma VEGF concentrations in the antianhedonic effects of repeated-dose intravenous ketamine (0.5 mg/kg) administered thrice weekly over 2 weeks, focusing on Chinese subjects experiencing treatment-refractory MDD or BD.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study Design and Population</title>
<p>Data were collected from an open-label, real-world ketamine clinical trial (registration number: ChiCTR-OOC-17012239). IRB approval of the Affiliated Brain Hospital of Guangzhou Medical University was obtained for this study (Ethical Application Ref: 2016030). All participants gave written informed consent. In this study, we specifically report the relationship of plasma VEGF concentrations and antianhedonic effects of subanaesthetic doses of ketamine, focusing on individuals suffering from treatment-refractory MDD or BD. The detailed study design, study population and clinical findings of this single-center open-label ketamine clinical study were described in our early studies (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Briefly, seventy-eight subjects aged between 18 and 65 years were recruited, with a diagnosis of major depressive episode (MED)&#x02013;MDD or BD&#x02013;using DSM-5 criteria. In this study, each patient was required to score &#x02265; 17 points on the 17-item Hamilton Depression Rating Scale (HAMD) (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>), experiencing TRD defined as failure to respond to at least two pharmacological therapies for the current MDE (<xref ref-type="bibr" rid="B30">30</xref>). Patients with other psychiatric disorders such as drug/alcohol dependence or schizophrenia were excluded, but a comorbidity of obsessive compulsive disorder (OCD) or anxiety disorder was permitted if it was not judged to be the primary presenting problem. Similar to prior studies (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>), each participant received six ketamine infusions (0.5 mg/kg over 40 min).</p>
</sec>
<sec>
<title>Antianhedonic Response</title>
<p>Similar to several early studies (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>), the Montgomery&#x02013;&#x000C5;sberg Depression Rating Scale (MADRS) anhedonia item including items 1 (apparent sadness), 2 (reported sadness), 6 (concentration difficulties), 7 (lassitude), and 8 (inability to feel) was also used in this study to assess anhedonia symptoms at baseline, day 13 and 26 (at the 1 day and 2 week follow-ups after completing the last infusion, respectively). Antianhedonic response was defined as at least a 50% reduction in MADRS anhedonia item scores on day 13.</p>
</sec>
<sec>
<title>Measurement of Plasma VEGF Concentrations</title>
<p>All blood samples of seventy-eight subjects with treatment-refractory MDD or BD were collected preinfusion and again at days 13 and 26. Consistent with a recent study (<xref ref-type="bibr" rid="B24">24</xref>), a Human VEGF Immunoassay enzyme-linked immunosorbent assay (ELISA) kit (R&#x00026;D Systems, Minneapolis, USA) was used to measure the plasma concentrations of VEGF.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>All statistical analyses were conducted using SPSS 24.0 statistical software focusing on Chinese patients suffering from treatment-refractory MDD or BD, with a significance level of 0.05 (two-sided). We performed a two-sample <italic>t</italic>-test and/or a Mann&#x02013;Whitney U test as well as a chi-square test and/or a Fisher&#x00027;s exact test to compare the differences in baseline plasma concentrations of VEGF and demographic and clinical features between the two groups (patients with and without antianhedonic response), if necessary. A linear mixed model was conducted for changes in anhedonia symptoms as measured by MADRS and the plasma concentrations of VEGF over time between the two groups, with Bonferroni correction for the time points examined. Correlation analyses were conducted to determine the relationship of the effects of ketamine on anhedonia symptoms and the plasma concentrations of VEGF.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p><xref ref-type="table" rid="T1">Table 1</xref> presents the demographic and clinical data of the patients suffering from treatment-refractory MDD (<italic>n</italic> = 59) or BD (<italic>n</italic> = 19) who received repeated ketamine infusions and provided a blood sample at baseline. Antianhedonic non-responders had a significantly higher history of psychiatric hospitalization than antianhedonic responders (<italic>p</italic> &#x0003C; 0.05).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographic and clinical characteristics of subjects suffering from TRD.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Total sample</bold><break/><bold>(</bold><italic><bold>n</bold></italic> <bold>&#x0003D; 78)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Antianhedonic responders</bold><break/><bold>(</bold><italic><bold>n</bold></italic> <bold>&#x0003D; 38)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Antianhedonic non-responders</bold><break/><bold>(</bold><italic><bold>n</bold></italic> <bold>&#x0003D; 40)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Statistics</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>N</italic></bold></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold><italic>N</italic></bold></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold><italic>N</italic></bold></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold>&#x003C7;<sup>2</sup></bold></th>
<th valign="top" align="center"><bold>df</bold></th>
<th valign="top" align="center"><bold><italic>p-</italic>value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">50.0</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">52.6</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">47.5</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.65</td>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">50.0</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">55.3</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">45.0</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">Employed</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">37.2</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">44.7</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">30.0</td>
<td valign="top" align="center">1.8</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">No history of psychiatric hospitalization</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">67.9</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">81.6</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">55.0</td>
<td valign="top" align="center">6.3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"><bold>0.01</bold></td>
</tr>
<tr>
<td valign="top" align="left">Having a family history of psychiatric disorders</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">41.0</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">34.2</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">47.5</td>
<td valign="top" align="center">1.4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">On ADs two or more</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">12.8</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">10.5</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">15.0</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left">On APs</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">59.0</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">55.3</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">62.5</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">On mood stabilizers</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">30.8</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">26.3</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">35.0</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">On benzodiazepines</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">39.7</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">36.8</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">42.5</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.61</td>
</tr>
<tr>
<td valign="top" align="left">On anxiolytics</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">46.2</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">47.4</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">45.0</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.83</td>
</tr>
<tr>
<td valign="top" align="left">On anticholinergics</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">15.4</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">15.8</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">15.0</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.92</td>
</tr>
<tr>
<td valign="top" align="left">Current smoking</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">23.1</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">23.7</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">22.5</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.90</td>
</tr>
<tr>
<td valign="top" align="left">Current drinking</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5.1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2.6</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">7.5</td>
<td valign="top" align="center">&#x02014;<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x02014;<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.33</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td/>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>SD</bold></td>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>SD</bold></td>
<td valign="top" align="center"><bold>Mean</bold></td>
<td valign="top" align="center"><bold>SD</bold></td>
<td valign="top" align="center"><bold>T/Z</bold></td>
<td valign="top" align="center"><bold>df</bold></td>
<td valign="top" align="center"><italic><bold>p-</bold></italic><bold>value</bold></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">34.6</td>
<td valign="top" align="center">11.8</td>
<td valign="top" align="center">35.1</td>
<td valign="top" align="center">11.5</td>
<td valign="top" align="center">34.1</td>
<td valign="top" align="center">12.2</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">Education (years)</td>
<td valign="top" align="center">12.3</td>
<td valign="top" align="center">3.5</td>
<td valign="top" align="center">12.0</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">12.5</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">&#x02212;0.6</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">22.7</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">23.3</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">22.1</td>
<td valign="top" align="center">3.1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">Age of onset (years)</td>
<td valign="top" align="center">25.8</td>
<td valign="top" align="center">11.4</td>
<td valign="top" align="center">27.2</td>
<td valign="top" align="center">12.3</td>
<td valign="top" align="center">24.4</td>
<td valign="top" align="center">10.5</td>
<td valign="top" align="center">1.1</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">0.29</td>
</tr>
<tr>
<td valign="top" align="left">Duration of illness (months)</td>
<td valign="top" align="center">109.5</td>
<td valign="top" align="center">104.2</td>
<td valign="top" align="center">98.8</td>
<td valign="top" align="center">104.6</td>
<td valign="top" align="center">119.6</td>
<td valign="top" align="center">104.3</td>
<td valign="top" align="center">&#x02212;1.0</td>
<td valign="top" align="center">&#x02014;<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td valign="top" align="left">FLUeq (mg/day)</td>
<td valign="top" align="center">36.7</td>
<td valign="top" align="center">23.0</td>
<td valign="top" align="center">38.5</td>
<td valign="top" align="center">24.1</td>
<td valign="top" align="center">35.1</td>
<td valign="top" align="center">22.2</td>
<td valign="top" align="center">&#x02212;0.6</td>
<td valign="top" align="center">&#x02014;<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left">CPZeq (mg/day)</td>
<td valign="top" align="center">172.3</td>
<td valign="top" align="center">125.6</td>
<td valign="top" align="center">144.9</td>
<td valign="top" align="center">102.6</td>
<td valign="top" align="center">195.3</td>
<td valign="top" align="center">139.9</td>
<td valign="top" align="center">&#x02212;1.4</td>
<td valign="top" align="center">&#x02014;<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">Baseline MADRS total scores</td>
<td valign="top" align="center">31.5</td>
<td valign="top" align="center">7.4</td>
<td valign="top" align="center">31.0</td>
<td valign="top" align="center">7.0</td>
<td valign="top" align="center">31.9</td>
<td valign="top" align="center">7.8</td>
<td valign="top" align="center">&#x02212;0.5</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td valign="top" align="left">Baseline MADRS anhedonia item scores</td>
<td valign="top" align="center">19.9</td>
<td valign="top" align="center">4.6</td>
<td valign="top" align="center">19.5</td>
<td valign="top" align="center">4.6</td>
<td valign="top" align="center">20.3</td>
<td valign="top" align="center">4.7</td>
<td valign="top" align="center">&#x02212;0.8</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">0.45</td>
</tr>
<tr>
<td valign="top" align="left">Baseline plasma VEGF concentrations (ng/ml)</td>
<td valign="top" align="center">30.7</td>
<td valign="top" align="center">48.2</td>
<td valign="top" align="center">34.0</td>
<td valign="top" align="center">47.2</td>
<td valign="top" align="center">27.5</td>
<td valign="top" align="center">49.5</td>
<td valign="top" align="center">&#x02212;0.7</td>
<td valign="top" align="center">&#x02014;<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="center">0.46</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>a</label><p><italic>Fisher&#x00027;s exact test</italic>;</p></fn>
<fn id="TN2"><label>b</label><p><italic>Mann-Whitney U test. Bolded values are p &#x0003C; 0.05. Ads, Antidepressants; Aps, antipsychotics; BMI, body mass index; CPZeq, chlorpromazine equivalent milligrams; FLUeq, Fluoxetine equivalents equals; MADRS, Montgomery&#x02013;&#x000C5;sberg Depression Rating Scale; VEGF, vascular endothelial growth factor; TRD, treatment-refractory depression</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Thirty-eight patients (48.7%, 95% Cl = 37.4&#x02013;60.1%) fulfilled the criteria for antianhedonic response. As depicted in <xref ref-type="table" rid="T2">Table 2</xref>, significant time main effects were found regarding MADRS anhedonia item scores and plasma VEGF concentrations (all <italic>ps</italic> &#x0003C; 0.05). No significant group main effects or group-by-time interactions were detected regarding plasma VEGF concentrations (all <italic>ps</italic> &#x0003E; 0.05; <xref ref-type="table" rid="T2">Table 2</xref>). Despite significant reductions in MADRS anhedonia item scores at days 13 and 26 (all <italic>p</italic>s &#x0003C; 0.05; <xref ref-type="fig" rid="F1">Figure 1</xref>), no significant changes in plasma VEGF concentrations were observed at day 13 when compared to baseline (<italic>p</italic> &#x0003E; 0.05) (<xref ref-type="fig" rid="F1">Figure 1</xref>). No significant differences in plasma VEGF concentrations were found between antianhedonic responders and non-responders at days 13 and 26 (all <italic>ps</italic> &#x0003E; 0.05) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Comparison of MADRS anhedonia item scores and plasma VEGF concentrations between antianhedonic responders and non-responders in subjects suffering from TRD using linear mixed models.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Group-by-time interaction</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Time main effect</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Group main effect</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>F</bold></th>
<th valign="top" align="center"><bold><italic>p-</italic>value</bold></th>
<th valign="top" align="center"><bold>F</bold></th>
<th valign="top" align="center"><bold><italic>p-</italic>value</bold></th>
<th valign="top" align="center"><bold>F</bold></th>
<th valign="top" align="center"><bold><italic>p-</italic>value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">MADRS anhedonia item scores</td>
<td valign="top" align="center">55.2</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="center">148.8</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="center">72.6</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Plasma VEGF concentrations (ng/ml)</td>
<td valign="top" align="center">2.4</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">4.0</td>
<td valign="top" align="center"><bold>0.02</bold></td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">0.79</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Bolded values are p &#x0003C; 0.05. MADRS, the Montgomery-&#x000C5;sberg Depression Rating Scale; VEGF, vascular endothelial growth factor; TRD, treatment-refractory depression</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Change in anhedonia symptoms <bold>(A)</bold> and plasma VEGF concentrations <bold>(B)</bold> in subjects suffering from TRD. <sup>&#x00023;</sup>Significant difference was found when compared to baseline at the indicated times (<italic>p</italic> &#x0003C; 0.05). &#x0002A;Significant difference was found between antianhedonic responders and non-responders at the indicated times (<italic>p</italic> &#x0003C; 0.05). MADRS, the Montgomery-Asberg Depression Rating Scale; SE, standard error; TRD, treatment-refractory depression; VEGF, vascular endothelial growth factor.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-12-780975-g0001.tif"/>
</fig>
<p>As shown in <xref ref-type="table" rid="T3">Table 3</xref>, correlation analysis of plasma VEGF concentrations and anhedonia symptoms as measured by the MADRS anhedonia item did not yield any significant relationships (all <italic>ps</italic> &#x0003E; 0.05).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Relationship of baseline plasma VEGF concentrations and anhedonia symptoms in subjects suffering from TRD.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" colspan="2"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>MADRS anhedonia item scores</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Change in MADRS anhedonia item scores</bold></th>
</tr>
<tr>
<th/>
<th/>
<th valign="top" align="center"><bold>At baseline</bold></th>
<th valign="top" align="center"><bold>At day 13</bold></th>
<th valign="top" align="center"><bold>At day 26</bold></th>
<th valign="top" align="center"><bold>At day 13</bold></th>
<th valign="top" align="center"><bold>At day 26</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Baseline plasma VEGF concentrations (ng/ml)</td>
<td valign="top" align="center"><italic>r</italic></td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">&#x02212;0.13</td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic></td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left">Change in plasma VEGF concentrations at day 13 (ng/ml)</td>
<td valign="top" align="center"><italic>r</italic></td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">&#x02212;0.17</td>
<td valign="top" align="center">&#x02212;0.24</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic></td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Change in plasma VEGF concentrations at day 26 (ng/ml)</td>
<td valign="top" align="center"><italic>r</italic></td>
<td valign="top" align="center">&#x02212;0.25</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x02212;0.11</td>
<td valign="top" align="center">&#x02212;0.16</td>
<td valign="top" align="center">&#x02212;0.04</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic></td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.80</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MADRS, the Montgomery-&#x000C5;sberg Depression Rating Scale; VEGF, vascular endothelial growth factor; r, Pearson coefficient of correlation; TRD, treatment-refractory depression</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>To our knowledge, this is the first report to determine whether plasma VEGF concentrations are involved in the rapid antianhedonic effects of ketamine. The major finding in the present study was that (1) consistent with previous studies (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>), ketamine exerted significant and rapid antianhedonic effects; (2) plasma VEGF concentrations showed no significant changes at day 13, and no significant difference in plasma VEGF concentrations was found in antianhedonic responders compared to non-responders at days 13 and 26; and (3) plasma VEGF concentrations showed no significant correlation with the observed antianhedonic effects in individuals treated with six ketamine infusions.</p>
<p>In this study, the observed rapid reduction in anhedonia symptoms after six ketamine infusions replicates findings from numerous earlier studies (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Of them, the Snaith&#x02013;Hamilton Pleasure Scale (SHAPS) was used to evaluate the levels of anhedonia in some studies (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>) but not all (<xref ref-type="bibr" rid="B2">2</xref>). In addition to the SHAPS, the Beck Depression Inventory (BDI) anhedonia item was used in Ballard et al. study (<xref ref-type="bibr" rid="B2">2</xref>). Similarly, a recent study examined the effects of esketamine on anhedonia symptoms by using MADRS item 8 (inability to feel) (<xref ref-type="bibr" rid="B30">30</xref>). In this study, the MADRS anhedonia item rather than a specific scale for anhedonia was used to evaluate anhedonia symptoms. Thus, a specific scale for anhedonia, such as the SHAPS and the Profile of Mood States (POMS), should be used to confirm these findings. Importantly, future studies should adopt a more specific assessment approach.</p>
<p>Preclinical trials have shown that rapid increases in VEGF in the medial prefrontal cortex (mPFC) are required for the behavioral action of ketamine (<xref ref-type="bibr" rid="B33">33</xref>). Neuronal VEGF&#x02013;Flk-1 signaling in the mPFC was associated with the antidepressant actions of ketamine (<xref ref-type="bibr" rid="B19">19</xref>). VEGF also appeared to be critical for the behavioral effects of various antidepressants (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>) and lamotrigine (<xref ref-type="bibr" rid="B36">36</xref>) in rodent models of depression. In a recent clinical study, a single infusion of ketamine increased the plasma mRNA levels of VEGF, supporting a role for VEGF in the action of ketamine (<xref ref-type="bibr" rid="B25">25</xref>). However, our data failed to demonstrate that plasma VEGF concentrations were significantly associated with ketamine&#x00027;s rapid antianhedonic effects in subjects with TRD. Similarly, a recent study also found that VEGF does not play a critical role in the observed antidepressant response to ketamine in depressed patients (<xref ref-type="bibr" rid="B24">24</xref>). However, the association of VEGF and ketamine&#x00027;s antisuicidal effects is unclear.</p>
<p>There were several limitations in the current study. First, since patient samples were limited to Chinese subjects suffering from treatment-refractory MDD or BD, the findings may not be fully generalizable. In addition, the pooling of individuals diagnosed with MDD and BD made the sample nonhomogeneous. Second, patients continued receiving psychotropic medication in this open-label real-world study, which may have affected the plasma VEGF concentrations and partly explained the contradictory findings between our study and early reports (<xref ref-type="bibr" rid="B25">25</xref>). Third, we did not directly measure brain VEGF levels since blood VEGF levels may not be related to brain VEGF concentrations (<xref ref-type="bibr" rid="B37">37</xref>). Fourth, other key neurobiological mediators of the ketamine response, such as phosphorylation of glycogen synthase kinase-3 (p-GSK-3) or mammalian target of rapamycin (mTOR) (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>), should be measured in future studies. Finally, the possible comorbid diagnosis such as a comorbidity of OCD or anxiety disorder was not reported in this study. Although treatment strategies for OCD, substance use disorders (SUD) and eating disorders (ED) are complex and difficult, ketamine and esketamine appeared to be effective in treating them (<xref ref-type="bibr" rid="B40">40</xref>).</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>This preliminary study suggests that the antianhedonic effects of ketamine are not mediated by VEGF.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Affiliated Brain Hospital of Guangzhou Medical University. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>YPN: study design. WZ, YLZ, and CYW: data collection. WZ and LMG: analysis and interpretation of data. WZ: drafting of the manuscript. BZ, DFW, and YPN: critical revision of the manuscript. All the authors contributed to the final draft of the manuscript and approved the final version for publication.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This study was funded by the National Natural Science Foundation of China (82101609), Scientific Research Project of Guangzhou Bureau of Education (202032762), Science and Technology Program Project of Guangzhou (202102020658), the Science and Technology Planning Project of Liwan District of Guangzhou (202004034), Guangzhou Health Science and Technology Project (20211A011045), Guangzhou science and Technology Project of traditional Chinese Medicine and Integrated Traditional Chinese and Western medicine (20212A011018), China International Medical Exchange Foundation (Z-2018-35-2002), Guangzhou Clinical Characteristic Technology Project (2019TS67), Science and Technology Program Project of Guangzhou (202102020658), and Guangdong Hospital Association (2019ZD06). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</sec>
<sec sec-type="COI-statement" 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>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;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>
</sec>
</body>
<back>
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