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<article article-type="research-article" xml:lang="en" dtd-version="1.4"><front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="pmc-domain-id">440</journal-id><journal-id journal-id-type="pmc-domain">plosone</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>PLOS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmcid">PMC4383333</article-id><article-id pub-id-type="pmcid-ver">PMC4383333.1</article-id><article-id pub-id-type="pmcaid">4383333</article-id><article-id pub-id-type="pmcaiid">4383333</article-id><article-id pub-id-type="pmid">25835291</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0123132</article-id><article-id pub-id-type="publisher-id">PONE-D-14-51933</article-id><article-version article-version-type="pmc-version">1</article-version><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Leptin Levels Are Negatively Correlated with 2-Arachidonoylglycerol in the Cerebrospinal Fluid of Patients with Osteoarthritis</article-title><alt-title alt-title-type="running-head">Endocannabinoid and Leptin Levels in Human Serum and CSF</alt-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Nicholson</surname><given-names initials="J">James</given-names></name><xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Azim</surname><given-names initials="S">Syed</given-names></name><xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Rebecchi</surname><given-names initials="MJ">Mario J.</given-names></name><xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Galbavy</surname><given-names initials="W">William</given-names></name><xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Feng</surname><given-names initials="T">Tian</given-names></name><xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Reinsel</surname><given-names initials="R">Ruth</given-names></name><xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Rizwan</surname><given-names initials="S">Sabeen</given-names></name><xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Fowler</surname><given-names initials="CJ">Christopher J.</given-names></name><xref ref-type="aff" rid="aff004">
<sup>4</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Benveniste</surname><given-names initials="H">Helene</given-names></name><xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref><xref rid="cor001" ref-type="corresp">*</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Kaczocha</surname><given-names initials="M">Martin</given-names></name><xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref><xref ref-type="aff" rid="aff005">
<sup>5</sup>
</xref><xref rid="cor001" ref-type="corresp">*</xref></contrib></contrib-group><aff id="aff001">
<label>1</label>
<addr-line>Department of Orthopedic Surgery, Stony Brook University, Stony Brook, New York, United States of America</addr-line>
</aff><aff id="aff002">
<label>2</label>
<addr-line>Department of Anesthesiology, Stony Brook University, Stony Brook, New York, United States of America</addr-line>
</aff><aff id="aff003">
<label>3</label>
<addr-line>Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, United States of America</addr-line>
</aff><aff id="aff004">
<label>4</label>
<addr-line>Department of Pharmacology and Clinical Neuroscience, Umeå University, Umeå, Sweden</addr-line>
</aff><aff id="aff005">
<label>5</label>
<addr-line>Department of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, New York, United States of America</addr-line>
</aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Rubino</surname><given-names initials="T">Tiziana</given-names></name><role>Academic Editor</role><xref ref-type="aff" rid="edit1"/></contrib></contrib-group><aff id="edit1">
<addr-line>University of Insubria, ITALY</addr-line>
</aff><author-notes><fn fn-type="COI-statement" id="coi001"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con" id="contrib001"><p>Conceived and designed the experiments: HB MK. Performed the experiments: JN SA MJR WG TF SR MK. Analyzed the data: JN SA MJR TF RR CJF HB MK. Wrote the paper: JN SA CJF HB MK.</p></fn><corresp id="cor001">* E-mail: <email>Martin.Kaczocha@Stonybrook.edu</email> (MK); <email>Helene.Benveniste@Stonybrookmedicine.edu</email> (HB)</corresp></author-notes><pub-date pub-type="epub"><day>2</day><month>4</month><year>2015</year></pub-date><pub-date pub-type="collection"><year>2015</year></pub-date><volume>10</volume><issue>4</issue><issue-id pub-id-type="pmc-issue-id">251292</issue-id><elocation-id>e0123132</elocation-id><history><date date-type="received"><day>18</day><month>11</month><year>2014</year></date><date date-type="accepted"><day>16</day><month>2</month><year>2015</year></date></history><pub-history><event event-type="pmc-release"><date><day>02</day><month>04</month><year>2015</year></date></event><event event-type="pmc-live"><date><day>09</day><month>04</month><year>2015</year></date></event><event event-type="pmc-last-change"><date iso-8601-date="2020-12-15 14:16:17.370"><day>15</day><month>12</month><year>2020</year></date></event></pub-history><permissions><copyright-statement>© 2015 Nicholson et al</copyright-statement><copyright-year>2015</copyright-year><copyright-holder>Nicholson et al</copyright-holder><license xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://creativecommons.org/licenses/by/4.0/"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbylicense">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.</license-p></license></permissions><self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pmc-pdf" xlink:href="pone.0123132.pdf"><?pdf-name pone.0123132.pdf?><?pdf-size 310015?><?pdf-md5 cd5b4b1172c7e3326b5876a86eab9297?><?pdf-image-server-status NEVER_LOAD?><?pdf-cloudpmc-urn urn:app:d64b/4383333/cd5b4b1172c7/pone.0123132.pdf?></self-uri><self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="pone.0123132.pdf"/><abstract><sec id="sec001"><title>Background</title><p>There is compelling evidence in humans that peripheral endocannabinoid signaling is disrupted in obesity. However, little is known about the corresponding central signaling. Here, we have investigated the relationship between gender, leptin, body mass index (BMI) and levels of the endocannabinoids anandamide (AEA) and 2-arachidonoylglycerol (2-AG) in the serum and cerebrospinal fluid (CSF) of primarily overweight to obese patients with osteoarthritis.</p></sec><sec id="sec002"><title>Methodology/Principal Findings</title><p>Patients (20 females, 15 males, age range 44-78 years, BMI range 24-42) undergoing total knee arthroplasty for end-stage osteoarthritis were recruited for the study. Endocannabinoids were quantified by liquid chromatography – mass spectrometry. AEA and 2-AG levels in the serum and CSF did not correlate with either age or BMI. However, 2-AG levels in the CSF, but not serum, correlated negatively with CSF leptin levels (Spearman’s ρ -0.48, P=0.0076, n=30). No such correlations were observed for AEA and leptin.</p></sec><sec id="sec003"><title>Conclusions/Significance</title><p>In the patient sample investigated, there is a negative association between 2-AG and leptin levels in the CSF. This is consistent with pre-clinical studies in animals, demonstrating that leptin controls the levels of hypothalamic endocannabinoids that regulate feeding behavior.</p></sec></abstract><funding-group><funding-statement>This work was supported by the Department of Anesthesiology and National Institutes of Health grants DA035923 and DA035949. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement></funding-group><counts><fig-count count="1"/><table-count count="3"/><page-count count="13"/></counts><custom-meta-group><custom-meta><meta-name>pmc-status-qastatus</meta-name><meta-value>0</meta-value></custom-meta><custom-meta><meta-name>pmc-status-live</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-status-embargo</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-status-released</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-open-access</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-olf</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-manuscript</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-legally-suppressed</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-pdf</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-supplement</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-pdf-only</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-suppress-copyright</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-real-version</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-scanned-article</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-preprint</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-in-epmc</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-license-ref</meta-name><meta-value>CC BY</meta-value></custom-meta><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>All relevant data are within the paper and its Supporting Information files.</p></notes></front><body><sec sec-type="intro" id="sec004"><title>Introduction</title><p>The endocannabinoids anandamide (AEA) and 2-arachidonoyl glycerol (2-AG) are endogenous agonists of cannabinoid receptors and regulate a multitude of physiological processes including metabolism and food intake [<xref rid="pone.0123132.ref001" ref-type="bibr">1</xref>–<xref rid="pone.0123132.ref003" ref-type="bibr">3</xref>]. It is well-established that the endocannabinoid system plays a key role in the control of energy homeostasis and that these effects are brought about both centrally and peripherally (for reviews, see [<xref rid="pone.0123132.ref004" ref-type="bibr">4</xref>–<xref rid="pone.0123132.ref007" ref-type="bibr">7</xref>]). For example, activation of cannabinoid receptors by AEA and 2-AG promotes hyperphagia while cannabinoid receptor blockade reduces food intake and improves parameters such as fasting glucose and triglyceride levels in humans [<xref rid="pone.0123132.ref008" ref-type="bibr">8</xref>–<xref rid="pone.0123132.ref013" ref-type="bibr">13</xref>]. Leptin is a hormone produced primarily by adipose tissue and exerts its anorexigenic effects through activation of hypothalamic proopiomelanocortin neurons and downregulation of hypothalamic endocannabinoid levels [<xref rid="pone.0123132.ref009" ref-type="bibr">9</xref>, <xref rid="pone.0123132.ref014" ref-type="bibr">14</xref>], suggesting an interplay between the central leptin and endocannabinoid systems, at least in rodents.</p><p>Previous studies have demonstrated that fasting is associated with reduced central and peripheral leptin levels in humans and elevated hypothalamic 2-AG levels in rodents [<xref rid="pone.0123132.ref009" ref-type="bibr">9</xref>, <xref rid="pone.0123132.ref015" ref-type="bibr">15</xref>–<xref rid="pone.0123132.ref017" ref-type="bibr">17</xref>]. Notably, administration of leptin to rats reduces hypothalamic 2-AG levels [<xref rid="pone.0123132.ref009" ref-type="bibr">9</xref>], suggesting functional antagonism between the anorexigenic effects of leptin and orexigenic endocannabinoids [<xref rid="pone.0123132.ref008" ref-type="bibr">8</xref>]. Given this orexigenic role of the endocannabinoid system, it is perhaps not surprising that changes in the levels of the endocannabinoids and/or their synthetic or degradative enzymes have been reported in adipose tissue and plasma samples from obese, obese/diabetic patients, and patients with eating disorders [<xref rid="pone.0123132.ref018" ref-type="bibr">18</xref>–<xref rid="pone.0123132.ref031" ref-type="bibr">31</xref>]. Most studies examining central changes in endocannabinoid function have been undertaken using experimental animals following dietary intervention (see e.g. [<xref rid="pone.0123132.ref032" ref-type="bibr">32</xref>–<xref rid="pone.0123132.ref034" ref-type="bibr">34</xref>]).</p><p>Despite the documented opposing roles of endocannabinoids and leptin in the control of feeding and obesity, only one study has examined the interplay between central leptin and endocannabinoid levels in humans [<xref rid="pone.0123132.ref028" ref-type="bibr">28</xref>]. These authors found that 2-AG levels in the cerebrospinal fluid (CSF) were higher in an obesity-prone population (American Indians) than in Caucasians, but there was no correlation between CSF endocannabinoid and leptin levels [<xref rid="pone.0123132.ref028" ref-type="bibr">28</xref>]. In a recent study, we investigated associations between pain and endocannabinoid levels in the serum and CSF from elderly, overnight fasted overweight/obese individuals suffering from osteoarthritis [<xref rid="pone.0123132.ref035" ref-type="bibr">35</xref>]. In the present study, we have investigated the relationship between central and peripheral endocannabinoid levels, body-mass index (BMI), and leptin levels in these individuals.</p></sec><sec sec-type="materials|methods" id="sec005"><title>Materials and Methods</title><sec id="sec006"><title>Ethics Statement</title><p>The experiments conducted herein were approved by the Stony Brook University institutional review board and written consent was obtained from each patient.</p></sec><sec id="sec007"><title>Study participants</title><p>Total knee arthroplasty (TKA) patients (n = 35) scheduled for an elective unilateral TKA under spinal anesthesia and a femoral nerve block were enrolled for this study. Patients with documented rheumatoid arthritis, patients scheduled for bilateral TKA, and patients scheduled for a TKA revision were excluded from the current study. Details of the patient population used here are given in [<xref rid="pone.0123132.ref035" ref-type="bibr">35</xref>].</p></sec><sec id="sec008"><title>Experimental design &amp; data collection</title><p>Immediately prior to the surgery, at the time of the spinal anesthesia, blood and CSF were collected from fasting (10–18 hours) patients.</p></sec><sec id="sec009"><title>Analysis of leptin levels</title><p>Blood was drawn from patients into tubes lacking anticoagulant (BD Vacutainer) and the resulting serum samples prepared, flash frozen, and stored at -80°C until use. CSF was collected and subjected to centrifugation at 1800 x g for 15 min at 4°C and the resulting supernatant was flash frozen in liquid nitrogen and stored at -80°C. Leptin levels were quantified using a leptin enzyme-linked immunosorbent assay (Quantikine immunoassay, R&amp;D Systems). The samples were diluted by gender as suggested by the manufacturer. Each sample was assayed in triplicate using the protocol supplied by the manufacturer. The color intensities were read at 450 nm.</p></sec><sec id="sec010"><title>Quantification of Endocannabinoids</title><p>Serum and CSF (0.5 ml) were mixed with 3.5 ml of 2:1:1 CHCl3:MeOH:Tris (50 mM, pH 8) that was spiked with 4 ng d<sub>4</sub>-PEA, d<sub>2</sub>-OEA, d<sub>5</sub>-2-AG, and 400 pg d<sub>4</sub>-AEA. Following centrifugation, the organic layer was removed and the sample was extracted again with the same buffer. The organic layer was dried down under argon and resuspended with 120 μl of 2:1 CHCl<sub>3</sub>:MeOH and 10 μl was injected into a Thermo TSQ Quantum Access Triple Quadropole mass spectrometer in triplicate. Endocannabinoid quantification was performed exactly as described [<xref rid="pone.0123132.ref035" ref-type="bibr">35</xref>, <xref rid="pone.0123132.ref036" ref-type="bibr">36</xref>].</p></sec><sec id="sec011"><title>Statistical analysis</title><p>Zero-order correlation coefficients were determined using the statistical package built into the GraphPad Prism computer program for the Macintosh (GraphPad Software Inc., San Diego, CA, USA). First-order Spearman’s ρ values were calculated from the corresponding zero-order (bivariate) values using the formula of Lehmann [<xref rid="pone.0123132.ref037" ref-type="bibr">37</xref>]. Multiple linear regression analyses were conducted using using the IBS SPSS Statistics package, version 22. The rank-based two-way ANOVAs were calculated using the function raov in the Rfit package of the R computer program [<xref rid="pone.0123132.ref038" ref-type="bibr">38</xref>, <xref rid="pone.0123132.ref039" ref-type="bibr">39</xref>]. We consider a p-value less than 0.05 as statistically significant.</p></sec></sec><sec sec-type="results" id="sec012"><title>Results</title><sec id="sec013"><title>Endocannabinoid levels in the patient samples</title><p>The characteristics of the collective sample, stratified by gender and diagnosis of diabetes, are shown in <xref rid="pone.0123132.t001" ref-type="table">Table 1</xref>. Given that the sample sizes are small, particularly for the diabetic subjects, the data are presented as medians and ranges, and a non-parametric rank-based two-way ANOVA [<xref rid="pone.0123132.ref038" ref-type="bibr">38</xref>] was used to assess significance. The body mass index (BMI) was higher in the diabetics vs. non-diabetics. As expected [<xref rid="pone.0123132.ref040" ref-type="bibr">40</xref>, <xref rid="pone.0123132.ref041" ref-type="bibr">41</xref>], both serum and CSF leptin levels were significantly higher in the females than the males. The two-way ANOVAs confirmed these main effects and also found a significant interaction between gender and diabetes for the serum, but not CSF leptin (<xref rid="pone.0123132.t001" ref-type="table">Table 1</xref>). Among the endocannabinoids, there were no significant main effects of either gender or diabetes, or interactions between gender and diabetes (<xref rid="pone.0123132.t001" ref-type="table">Table 1</xref>).</p><table-wrap id="pone.0123132.t001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0123132.t001</object-id><label>Table 1</label><caption><title>Characteristics of the study group stratified on the basis of gender (G) and incidence of diabetes (D).</title></caption><alternatives><graphic xmlns:xlink="http://www.w3.org/1999/xlink" id="pone.0123132.t001g" position="float" orientation="portrait" xlink:href="pone.0123132.t001.jpg"><?image-name pone.0123132.t001.jpg?><?image-size 109505?><?image-md5 4c9eb36b0eda0e0d489e3cfc4667f1f3?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1585?><?image-original-width 2269?><?image-scaled-height 528?><?image-scaled-width 756?><?image-cloudpmc-urn urn:cdn:blobs/d64b/4383333/4c9eb36b0eda/pone.0123132.t001.jpg?><?thumb-name pone.0123132.t001.gif?><?thumb-size 14378?><?thumb-md5 8abff90bca07feb99974ce348f297ca5?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 114?><?thumb-cloudpmc-urn urn:cdn:blobs/d64b/4383333/8abff90bca07/pone.0123132.t001.gif?></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" rowspan="1" colspan="1"/><th align="left" rowspan="1" colspan="1">
<bold>Diabetes</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>Females</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>Males</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>P value</bold>
</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Age (years)</td><td align="left" rowspan="1" colspan="1">no</td><td align="left" rowspan="1" colspan="1">68 (44–76, 14)</td><td align="left" rowspan="1" colspan="1">70 (55–78, 11)</td><td align="left" rowspan="1" colspan="1">G: 0.44</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">yes</td><td align="left" rowspan="1" colspan="1">64 (51–78, 6)</td><td align="left" rowspan="1" colspan="1">67 (59–70, 4)</td><td align="left" rowspan="1" colspan="1">D:0.30</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">GxD:0.91</td></tr><tr><td align="left" rowspan="1" colspan="1">BMI (kg/m<sup>2</sup>)</td><td align="left" rowspan="1" colspan="1">no</td><td align="left" rowspan="1" colspan="1">34 (26–42, 14)</td><td align="left" rowspan="1" colspan="1">28 (24–35, 11)</td><td align="left" rowspan="1" colspan="1">G: 0.066</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">yes</td><td align="left" rowspan="1" colspan="1">36 (29–40, 6)</td><td align="left" rowspan="1" colspan="1">36 (33–39, 4)</td><td align="left" rowspan="1" colspan="1">
<bold>D:0.002</bold>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">GxD:0.064</td></tr><tr><td align="left" rowspan="1" colspan="1">Serum leptin</td><td align="left" rowspan="1" colspan="1">no</td><td align="left" rowspan="1" colspan="1">45 (16–85, 14)</td><td align="left" rowspan="1" colspan="1">9.3 (4.3–18, 9)</td><td align="left" rowspan="1" colspan="1">
<bold>G: 0.0002</bold>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">yes</td><td align="left" rowspan="1" colspan="1">36 (14–56, 6)</td><td align="left" rowspan="1" colspan="1">28 (16–32, 3)</td><td align="left" rowspan="1" colspan="1">D:0.43</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">
<bold>GxD:0.0095</bold>
</td></tr><tr><td align="left" rowspan="1" colspan="1">CSF leptin</td><td align="left" rowspan="1" colspan="1">no</td><td align="left" rowspan="1" colspan="1">290 (180–440, 14)</td><td align="left" rowspan="1" colspan="1">140 (42–190, 9)</td><td align="left" rowspan="1" colspan="1">
<bold>G: 0.0005</bold>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">yes</td><td align="left" rowspan="1" colspan="1">240 (190–390, 6)</td><td align="left" rowspan="1" colspan="1">210 (110–220, 3)</td><td align="left" rowspan="1" colspan="1">D:0.87</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">GxD:0.18</td></tr><tr><td align="left" rowspan="1" colspan="1">Serum AEA</td><td align="left" rowspan="1" colspan="1">no</td><td align="left" rowspan="1" colspan="1">0.26 (0.11–0.54, 14)</td><td align="left" rowspan="1" colspan="1">0.21 (0.11–0.33, 11)</td><td align="left" rowspan="1" colspan="1">G: 0.082</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">yes</td><td align="left" rowspan="1" colspan="1">0.28 (0.13–0.31, 5)</td><td align="left" rowspan="1" colspan="1">0.15 (0.092–0.15, 4)</td><td align="left" rowspan="1" colspan="1">D:0.41</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">GxD:0.59</td></tr><tr><td align="left" rowspan="1" colspan="1">Serum 2-AG</td><td align="left" rowspan="1" colspan="1">no</td><td align="left" rowspan="1" colspan="1">3.4 (0.91–6.1, 14)</td><td align="left" rowspan="1" colspan="1">3.5 (0.96–5.0, 11)</td><td align="left" rowspan="1" colspan="1">G: 0.23</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">yes</td><td align="left" rowspan="1" colspan="1">3.3 (0.67–5.5, 6)</td><td align="left" rowspan="1" colspan="1">1.4 (0.86–2.9, 4)</td><td align="left" rowspan="1" colspan="1">D:0.23</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">GxD:0.31</td></tr><tr><td align="left" rowspan="1" colspan="1">CSF AEA</td><td align="left" rowspan="1" colspan="1">no</td><td align="left" rowspan="1" colspan="1">14 (6–22, 14)</td><td align="left" rowspan="1" colspan="1">17 (4–30, 11)</td><td align="left" rowspan="1" colspan="1">G: 0.96</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">yes</td><td align="left" rowspan="1" colspan="1">11 (8–25, 5)</td><td align="left" rowspan="1" colspan="1">10 (6–21, 4)</td><td align="left" rowspan="1" colspan="1">D:0.38</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">GxD:0.33</td></tr><tr><td align="left" rowspan="1" colspan="1">CSF 2-AG</td><td align="left" rowspan="1" colspan="1">no</td><td align="left" rowspan="1" colspan="1">64 (30–220, 13)</td><td align="left" rowspan="1" colspan="1">99 (14–170, 11)</td><td align="left" rowspan="1" colspan="1">G: 0.45</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">yes</td><td align="left" rowspan="1" colspan="1">99 (0–180, 5)</td><td align="left" rowspan="1" colspan="1">100 (75–120, 4)</td><td align="left" rowspan="1" colspan="1">D:0.84</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">GxD:0.76</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t001fn001"><p>Data are given as medians with ranges, followed by the sample sizes in parentheses. Serum leptin levels are given as ng/ml while CSF leptin levels are given as pg/ml; serum AEA and 2-AG levels are given as ng/ml; and CSF AEA and 2-AG levels are given as pg/ml. P values are calculated using a non-parametric two-way robust Wilcoxon analysis [<xref rid="pone.0123132.ref038" ref-type="bibr">38</xref>]. Significant correlations are shown in boldface.</p></fn></table-wrap-foot></table-wrap></sec><sec id="sec014"><title>Correlation between leptin and endocannabinoid levels</title><p>Bivariate correlations were determined between the outcome parameters used in the present study. Before undertaking such correlations, it is important to determine whether the data are normally distributed because a parametric Pearson correlation is not appropriate if this is not the case. We used the D'Agostino &amp; Pearson omnibus normality test and found that the serum 2-AG values were not normally distributed (all other variables reported passed this test). Consequently, we used non-parametric Spearman’s correlations for the whole dataset. The correlation coefficients for the endocannabinoids and for leptin are shown in <xref rid="pone.0123132.t002" ref-type="table">Table 2</xref>, and the scatterplots for the endocannabinoids against the corresponding leptin concentrations are shown in <xref rid="pone.0123132.g001" ref-type="fig">Fig 1</xref>. As expected from the literature [<xref rid="pone.0123132.ref015" ref-type="bibr">15</xref>], CSF and serum leptin concentrations were highly correlated (Spearman’s ρ = 0.83, n = 31, P&lt;0.0001) and thus it is not surprising that the significant association of BMI with leptin was seen for both serum and CSF leptin. In their original study, Schwartz et al. [<xref rid="pone.0123132.ref041" ref-type="bibr">41</xref>] reported that the best correlation for CSF leptin as dependent variable was seen in a model incorporating gender, plasma leptin and log plasma leptin as independents. However, this is likely to result in multicollinearity (a potential source of misleading results when one or more of the predictor variables are highly correlated, i.e. not independent), and this was indeed seen in our dataset. A simpler model with gender and either unlogged serum or logged serum leptin (but not both) gave similar r<sup>2</sup> values (0.69 and 0.71) with both parameters contributing significantly, and the lowest level of collinearity (variance inflation factor value 1.8; as a rule of thumb, a value ≥5 indicates multicollinearity) was seen with the unlogged values (data not shown).</p><table-wrap id="pone.0123132.t002" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0123132.t002</object-id><label>Table 2</label><caption><title>Correlations between endocannabinoid and leptin concentrations and the corresponding parameters for age, BMI, AEA and 2-AG.</title></caption><alternatives><graphic xmlns:xlink="http://www.w3.org/1999/xlink" id="pone.0123132.t002g" position="float" orientation="portrait" xlink:href="pone.0123132.t002.jpg"><?image-name pone.0123132.t002.jpg?><?image-size 62827?><?image-md5 5f1902bb6b3cfb75aaee458301137224?><?image-image-server-status NEVER_LOAD?><?image-original-height 746?><?image-original-width 2261?><?image-scaled-height 248?><?image-scaled-width 753?><?image-cloudpmc-urn urn:cdn:blobs/d64b/4383333/5f1902bb6b3c/pone.0123132.t002.jpg?><?thumb-name pone.0123132.t002.gif?><?thumb-size 12848?><?thumb-md5 9e3ee3e24d1f9fecc0d603f9718ed1b3?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 66?><?thumb-scaled-width 200?><?thumb-cloudpmc-urn urn:cdn:blobs/d64b/4383333/9e3ee3e24d1f/pone.0123132.t002.gif?></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" rowspan="1" colspan="1">
<bold>Parameter 1</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>Parameter 2</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>Serum</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>CSF</bold>
</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Age</td><td align="left" rowspan="1" colspan="1">Leptin</td><td align="left" rowspan="1" colspan="1">-0.20 (P = 0.26, n = 33)</td><td align="left" rowspan="1" colspan="1">-0.015 (P = 0.94, n = 32)</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">AEA</td><td align="left" rowspan="1" colspan="1">-0.012 (P = 0.95, n = 34)</td><td align="left" rowspan="1" colspan="1">-0.058 (P = 0.75, n = 34)</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">2-AG</td><td align="left" rowspan="1" colspan="1">0.042 (P = 0.81, n = 35)</td><td align="left" rowspan="1" colspan="1">-0.27 (P = 0.13, n = 33)</td></tr><tr><td align="left" rowspan="1" colspan="1">BMI</td><td align="left" rowspan="1" colspan="1">Leptin</td><td align="left" rowspan="1" colspan="1">
<bold>0.65 (P&lt;0.0001, n = 33)</bold>
</td><td align="left" rowspan="1" colspan="1">
<bold>0.49 (P = 0.0048, n = 32)</bold>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">AEA</td><td align="left" rowspan="1" colspan="1">0.18 (P = 0.30, n = 34)</td><td align="left" rowspan="1" colspan="1">-0.031 (P = 0.86, n = 34)</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">2-AG</td><td align="left" rowspan="1" colspan="1">-0.13 (P = 0.47, n = 35)</td><td align="left" rowspan="1" colspan="1">-0.019 (P = 0.91, n = 33)</td></tr><tr><td align="left" rowspan="1" colspan="1">Leptin</td><td align="left" rowspan="1" colspan="1">AEA</td><td align="left" rowspan="1" colspan="1">0.29 (P = 0.10, n = 33)</td><td align="left" rowspan="1" colspan="1">-0.17 (P = 0.35, n = 31)</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">2-AG</td><td align="left" rowspan="1" colspan="1">-0.09 (P = 0.62, n = 33)</td><td align="left" rowspan="1" colspan="1">
<bold>-0.48 (P = 0.0076, n = 30)</bold>
</td></tr><tr><td align="left" rowspan="1" colspan="1">AEA</td><td align="left" rowspan="1" colspan="1">2-AG</td><td align="left" rowspan="1" colspan="1">0.18 (P = 0.31, n = 34)</td><td align="left" rowspan="1" colspan="1">0.13 (P = 0.47, n = 32)</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t002fn001"><p>Values are Spearman’s ρ, in deference to the non-normal distribution of serum 2-AG in the sample. The other parameters passed the D'Agostino &amp; Pearson omnibus normality test. Significant correlations are shown in boldface.</p></fn></table-wrap-foot></table-wrap><fig id="pone.0123132.g001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0123132.g001</object-id><label>Fig 1</label><caption><title>Relationship between endocannabinoid and leptin levels in the serum (A, B) and CSF (C, D).</title><p>Shown are the data for AEA (Panels A, C) and 2-AG (Panels B, D). The Spearman ρ values are provided in <xref rid="pone.0123132.t002" ref-type="table">Table 2</xref>.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="pone.0123132.g001.jpg"><?image-name pone.0123132.g001.jpg?><?image-size 77404?><?image-md5 3407b6d60fb35785f4c177e71ecdbde3?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1485?><?image-original-width 1900?><?image-scaled-height 594?><?image-scaled-width 760?><?image-cloudpmc-urn urn:cdn:blobs/d64b/4383333/3407b6d60fb3/pone.0123132.g001.jpg?><?thumb-name pone.0123132.g001.gif?><?thumb-size 13545?><?thumb-md5 984498882098357199731cb00bd615b6?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 102?><?thumb-cloudpmc-urn urn:cdn:blobs/d64b/4383333/984498882098/pone.0123132.g001.gif?></graphic></fig><p>There was no significant association between AEA and the corresponding leptin levels. As reported previously for this patient population [<xref rid="pone.0123132.ref035" ref-type="bibr">35</xref>], serum AEA and CSF AEA levels were significantly (p &lt; 0.05) correlated. No such correlation between serum and CSF 2-AG levels was seen or between serum 2-AG and serum leptin levels (<xref rid="pone.0123132.t002" ref-type="table">Table 2</xref>). However, a significant negative correlation (ρ = -0.48, n = 30, P = 0.0076) was observed between CSF 2-AG and leptin levels (<xref rid="pone.0123132.t002" ref-type="table">Table 2</xref>, <xref rid="pone.0123132.g001" ref-type="fig">Fig 1</xref>).</p><p>To exclude the possibility that the negative correlation between leptin and 2-AG was a result of an underlying distribution of another significantly associated parameter, higher-order correlations controlling for additional parameters were applied. The first order Spearman’s ρ value for CSF leptin vs. CSF 2-AG controlling for BMI, remained significant (ρ = -0.50, n = 30, P = 0.0059). Given that both the CSF leptin and the CSF 2-AG values passed the D'Agostino &amp; Pearson omnibus normality test, it is possible to explore the relationship between these two variables further in multiple regression analyses. The statistical program we used allows different approaches for how the independent variables are presented. We used backward elimination (where all the candidate variables are initially included, and variables are removed when such deletion improves the model), with CSF 2-AG as the dependent variable and with age, gender, incidence of diabetes, BMI and CSF leptin as the independent variables. Using this approach, the only significant variable remaining in the final model was CSF leptin, and the same was true when forward selection (when variables are added to the model) was tested. Given that the data indicate an association rather than causality, the reverse analysis, i.e. where CSF leptin was the dependent variable, was also investigated. Both methods selected CSF 2-AG and diabetes as significant predictors. The backward elimination analyses are summarized in <xref rid="pone.0123132.s001" ref-type="supplementary-material">S1</xref> and <xref rid="pone.0123132.s002" ref-type="supplementary-material">S2</xref> Tables. Thus, the association between CSF leptin and 2-AG levels found here is not induced by the other parameters investigated.</p></sec></sec><sec sec-type="conclusions" id="sec015"><title>Discussion</title><p>The endocannabinoid system regulates appetite and metabolism [<xref rid="pone.0123132.ref008" ref-type="bibr">8</xref>]. Previous work in rodents suggests an antagonistic relationship between the central endocannabinoid system and leptin [<xref rid="pone.0123132.ref009" ref-type="bibr">9</xref>]. Indeed, administration of leptin to normal Sprague-Dawley rats reduced hypothalamic levels of both AEA and 2-AG [<xref rid="pone.0123132.ref009" ref-type="bibr">9</xref>]. Obese Zucker (fa/fa) rats with defective leptin signaling possess higher hypothalamic 2-AG levels than lean controls, whereas AEA levels are not changed. Elevated hypothalamic 2-AG levels are observed in ob/ob mice (where there is no leptin production) compared to controls. Furthermore, fasting elevates while feeding reduces hypothalamic 2-AG levels in rats [<xref rid="pone.0123132.ref016" ref-type="bibr">16</xref>] and fasting results in reduced leptin levels in the CSF of humans [<xref rid="pone.0123132.ref015" ref-type="bibr">15</xref>, <xref rid="pone.0123132.ref017" ref-type="bibr">17</xref>]. Based upon these studies, fasting in humans would be expected to produce an inverse gradient between CSF 2-AG and leptin levels. Indeed, such a negative correlation between 2-AG and leptin was observed in the current study, suggesting that the control of 2-AG production by leptin seen in the rodent hypothalamus [<xref rid="pone.0123132.ref009" ref-type="bibr">9</xref>] may also occur in humans.</p><p>Leptin is an adipokine that regulates appetite, metabolism, and inflammation and one of its primary roles is to reduce food intake [<xref rid="pone.0123132.ref042" ref-type="bibr">42</xref>–<xref rid="pone.0123132.ref044" ref-type="bibr">44</xref>]. Obesity is associated with chronically elevated leptin levels that may give rise to leptin resistance [<xref rid="pone.0123132.ref045" ref-type="bibr">45</xref>]. Recent work has shown that peripheral endocannabinoid signaling contributes to leptin resistance [<xref rid="pone.0123132.ref011" ref-type="bibr">11</xref>]. In contrast, lack of hypothalamic endocannabinoid signaling leads to leptin resistance in animals fed a high fat diet, whereas its actions are potentiated in chow-fed animals [<xref rid="pone.0123132.ref046" ref-type="bibr">46</xref>]. In our study, the negative correlation between CSF leptin and 2-AG suggests that the reciprocal regulation of central leptin and endocannabinoid signaling remains functionally coupled in overweight fasting humans. Because our serum and CSF samples were obtained during the morning hours, it is tempting to speculate that the inverse relationship between leptin and 2-AG may reflect an increase in the morning orexigenic drive. This is supported by a very recent clinical study demonstrating that 2-AG levels increase while leptin levels decrease during sleep and throughout the morning [<xref rid="pone.0123132.ref047" ref-type="bibr">47</xref>].</p><p>Our results are in contrast to the study of Jumpertz et al [<xref rid="pone.0123132.ref028" ref-type="bibr">28</xref>], who did not observe a correlation between leptin and 2-AG levels in the CSF of healthy, middle aged overweight individuals, which the authors attributed to possible leptin resistance in this cohort. Although our sample comprised older patients with osteoarthritis, it is unlikely that the endocannabinoid and leptin levels were affected by the underlying osteoarthritis (see below). However, it is prudent to consider the present findings in context of this co-morbidity and again to suggest that further validation studies are needed. Lastly, the negative correlation between CSF 2-AG and leptin in the fasting subjects would infer that sufficient 2-AG levels derived from the hypothalamus are reflected in the CSF for the effect to be specific to the hypothalamic endocannabinoid signaling process.</p><p>Importantly, the CSF endocannabinoid levels reported herein are in line with the literature (<xref rid="pone.0123132.t003" ref-type="table">Table 3</xref>). Most of the previously reported data are for AEA, with mean values for controls ranging from below the limit of detection to 11.65±7.53 pmol/ml (<xref rid="pone.0123132.t003" ref-type="table">Table 3</xref>). Similarly, 2-AG levels ranging from below the limit of detection to 160±110 pmol/mg (61±42 ng/ml) have been reported; and our values are within this range. Lastly, the CSF leptin levels reported herein are similar to those previously observed in subjects without underlying osteoarthritis [<xref rid="pone.0123132.ref048" ref-type="bibr">48</xref>, <xref rid="pone.0123132.ref049" ref-type="bibr">49</xref>], arguing against osteoarthritis-induced alterations in leptin levels.</p><table-wrap id="pone.0123132.t003" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0123132.t003</object-id><label>Table 3</label><caption><title>Literature values of AEA and 2-AG (+1-AG) levels in the CSF.</title></caption><alternatives><graphic xmlns:xlink="http://www.w3.org/1999/xlink" id="pone.0123132.t003g" position="float" orientation="portrait" xlink:href="pone.0123132.t003.jpg"><?image-name pone.0123132.t003.jpg?><?image-size 153393?><?image-md5 9656901bebdf9f85aa269fc6ad945879?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 2492?><?image-original-width 2251?><?image-scaled-height 830?><?image-scaled-width 750?><?image-cloudpmc-urn urn:cdn:blobs/d64b/4383333/9656901bebdf/pone.0123132.t003.jpg?><?thumb-name pone.0123132.t003.gif?><?thumb-size 16668?><?thumb-md5 094badf14ae8b0219d140171c58723fe?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 111?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/d64b/4383333/094badf14ae8/pone.0123132.t003.gif?></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" rowspan="1" colspan="1">
<bold>Study</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>Control/Patients</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>n</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>AEA</bold>
</th><th align="left" rowspan="1" colspan="1">
<bold>2-AG</bold>
</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Giuffrida et al. [<xref rid="pone.0123132.ref050" ref-type="bibr">50</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">81</td><td align="left" rowspan="1" colspan="1">0.007±0.002<xref rid="t003fn002" ref-type="table-fn">
<sup>b</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Schizophrenic patients: Antipsychotic-naïve</td><td align="left" rowspan="1" colspan="1">24</td><td align="left" rowspan="1" colspan="1">0.057±0.011<xref rid="t003fn002" ref-type="table-fn">
<sup>b</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">1 °G antipsychotic treated</td><td align="left" rowspan="1" colspan="1">36</td><td align="left" rowspan="1" colspan="1">0.031±0.012<xref rid="t003fn002" ref-type="table-fn">
<sup>b</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">2 °G antipsychotic treated</td><td align="left" rowspan="1" colspan="1">31</td><td align="left" rowspan="1" colspan="1">0.062±0.016<xref rid="t003fn002" ref-type="table-fn">
<sup>b</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Pisani et al [<xref rid="pone.0123132.ref051" ref-type="bibr">51</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">14</td><td align="left" rowspan="1" colspan="1">5.23±1.81<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Untreated PD patients</td><td align="left" rowspan="1" colspan="1">16</td><td align="left" rowspan="1" colspan="1">10.7±3.2<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Sarchielli et al. [<xref rid="pone.0123132.ref052" ref-type="bibr">52</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">20</td><td align="left" rowspan="1" colspan="1">0.39±0.09<xref rid="t003fn002" ref-type="table-fn">
<sup>b</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">Below detection limit (0.2 pmol/sample) for all groups</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Chronic migraine</td><td align="left" rowspan="1" colspan="1">15</td><td align="left" rowspan="1" colspan="1">0.21±0.06<xref rid="t003fn002" ref-type="table-fn">
<sup>b</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Probable migraine + PAOH</td><td align="left" rowspan="1" colspan="1">15</td><td align="left" rowspan="1" colspan="1">0.22±0.05<xref rid="t003fn002" ref-type="table-fn">
<sup>b</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Centonze et al. [<xref rid="pone.0123132.ref053" ref-type="bibr">53</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">2.4±1.3</td><td align="left" rowspan="1" colspan="1">~75–100<xref rid="t003fn003" ref-type="table-fn">
<sup>c</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Relapsing-remitting MS</td><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">20.3±15.7</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Leweke et al. [<xref rid="pone.0123132.ref054" ref-type="bibr">54</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">81</td><td align="left" rowspan="1" colspan="1">range 0 - ~0.07<xref rid="t003fn003" ref-type="table-fn">
<sup>c</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Schizophrenics</td><td align="left" rowspan="1" colspan="1">44</td><td align="left" rowspan="1" colspan="1">range 0 - ~0.33<xref rid="t003fn003" ref-type="table-fn">
<sup>c</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Di Filippo et al. [<xref rid="pone.0123132.ref055" ref-type="bibr">55</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">20</td><td align="left" rowspan="1" colspan="1">0.085±0.0019<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">1.068±0.123<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Stable remitting-relapsing MS</td><td align="left" rowspan="1" colspan="1">20</td><td align="left" rowspan="1" colspan="1">0.0048±0.0009<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">0.824±0.104<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">MS during relapse</td><td align="left" rowspan="1" colspan="1">15</td><td align="left" rowspan="1" colspan="1">0.0068±0.0009<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">0.997±0.127<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Secondary phase MS</td><td align="left" rowspan="1" colspan="1">15</td><td align="left" rowspan="1" colspan="1">0.0036±0.0006<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">0.762±0.098<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1">Koethe et al. [<xref rid="pone.0123132.ref056" ref-type="bibr">56</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">81</td><td align="left" rowspan="1" colspan="1">Median &lt;0.001, IQR &lt;0.001–0.005</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Prodromal psychotic patients</td><td align="left" rowspan="1" colspan="1">27</td><td align="left" rowspan="1" colspan="1">Median 0.006, IQR &lt;0.001–0.073</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Koppel et al. [<xref rid="pone.0123132.ref057" ref-type="bibr">57</xref>]</td><td align="left" rowspan="1" colspan="1">Elderly controls and Late onset AD patients</td><td align="left" rowspan="1" colspan="1">35</td><td align="left" rowspan="1" colspan="1">Below detection limit</td><td align="left" rowspan="1" colspan="1">For all cases mean 0.205, range 0.027–0.704</td></tr><tr><td align="left" rowspan="1" colspan="1">Koethe et al. [<xref rid="pone.0123132.ref058" ref-type="bibr">58</xref>]</td><td align="left" rowspan="1" colspan="1">Controls before and after sleep deprivation</td><td align="left" rowspan="1" colspan="1">20</td><td align="left" rowspan="1" colspan="1">Very low levels shown in <xref rid="pone.0123132.g001" ref-type="fig">Fig 1</xref> of paper</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Romigi et al. [<xref rid="pone.0123132.ref059" ref-type="bibr">59</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">9,6<xref rid="t003fn004" ref-type="table-fn">
<sup>d</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">11.65±7.53<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">160±110<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Untreated epilepsy</td><td align="left" rowspan="1" colspan="1">9,6<xref rid="t003fn004" ref-type="table-fn">
<sup>d</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">2.55±1.78<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">210±147<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1">Pisani et al. [<xref rid="pone.0123132.ref060" ref-type="bibr">60</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">37</td><td align="left" rowspan="1" colspan="1">4.59±1.65<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">De novo PD</td><td align="left" rowspan="1" colspan="1">38</td><td align="left" rowspan="1" colspan="1">9.76±3.26<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">PD, treatment withdrawal</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1">11.19±3.23<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">PD, under treatment</td><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">6.76±3.41<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">Jumpertz et al. [<xref rid="pone.0123132.ref028" ref-type="bibr">28</xref>]</td><td align="left" rowspan="1" colspan="1">Controls (BMI 34±8<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref> kg/m<sup>2</sup>)</td><td align="left" rowspan="1" colspan="1">27</td><td align="left" rowspan="1" colspan="1">0.06±0.08<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">14.2±6.85<xref rid="t003fn001" ref-type="table-fn">
<sup>a</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1">Morgan et al. [<xref rid="pone.0123132.ref061" ref-type="bibr">61</xref>]</td><td align="left" rowspan="1" colspan="1">Controls</td><td align="left" rowspan="1" colspan="1">13</td><td align="left" rowspan="1" colspan="1">~0.13<xref rid="t003fn003" ref-type="table-fn">
<sup>c</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">~10<xref rid="t003fn003" ref-type="table-fn">
<sup>c</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Light cannabis users</td><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">~0.16<xref rid="t003fn003" ref-type="table-fn">
<sup>c</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">~18<xref rid="t003fn003" ref-type="table-fn">
<sup>c</sup>
</xref>
</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Heavy cannabis users</td><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">~0.10<xref rid="t003fn003" ref-type="table-fn">
<sup>c</sup>
</xref>
</td><td align="left" rowspan="1" colspan="1">~23<xref rid="t003fn003" ref-type="table-fn">
<sup>c</sup>
</xref>
</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t003fn001"><p>
<sup>a</sup>Means ± SD;</p></fn><fn id="t003fn002"><p>
<sup>b</sup>means ±SE;</p></fn><fn id="t003fn003"><p>
<sup>c</sup>values not given explicitly in the text but estimated from the figures;</p></fn><fn id="t003fn004"><p>
<sup>d</sup>refers to samples analysed for AEA and 2-AG, respectively.</p></fn><fn id="t003fn005"><p>Abbreviations: 1 °G and 2 °G, first- and second-generation, respectively; AD, Alzheimer’s disease; IQR, interquartile range; MS, multiple sclerosis; PAOH, probable analgesic overuse headache; PD, Parkinson’s disease.</p></fn><fn id="t003fn006"><p>All values are in pmol/ml.</p></fn></table-wrap-foot></table-wrap><p>One observation at odds with the literature, however, is the finding of a significant correlation between serum and CSF AEA (but not 2-AG) levels. In four separate studies [<xref rid="pone.0123132.ref028" ref-type="bibr">28</xref>, <xref rid="pone.0123132.ref050" ref-type="bibr">50</xref>, <xref rid="pone.0123132.ref056" ref-type="bibr">56</xref>, <xref rid="pone.0123132.ref061" ref-type="bibr">61</xref>] no such correlation was found, although a positive correlation was seen for schizophrenic patients treated with first-generation antipsychotics [<xref rid="pone.0123132.ref050" ref-type="bibr">50</xref>]. Very recently completed data (i.e. after this manuscript was submitted) by one of us suggests that there is a large inter-sample variation in plasma AEA and 2-AG levels for any given individual when the samples are either taken at a one hour interval or at the same time of day on two different occasions (L. Lindgren, M. Gouveia-Figueira, M.L. Nodding and Christopher J. Fowler, manuscript in preparation). This may account for the differences in plasma:CSF correlation coefficients between the studies. Additionally, it may be possible that in the patient population examined here, the underlying osteoarthritis has produced an effect upon AEA turnover centrally and/or peripherally, thereby inducing a correlation. There is evidence that both inflammatory and anti-inflammatory cytokines can affect components of the endocannabinoid system, such as cannabinoid receptors and fatty acid amide hydrolase [<xref rid="pone.0123132.ref062" ref-type="bibr">62</xref>–<xref rid="pone.0123132.ref064" ref-type="bibr">64</xref>] so in theory this is possible although unlikely because the serum endocannabinoid levels obtained here are similar to those reported for healthy patients without underlying osteoarthritis [<xref rid="pone.0123132.ref065" ref-type="bibr">65</xref>–<xref rid="pone.0123132.ref067" ref-type="bibr">67</xref>]. Furthermore, brain and plasma AEA levels were found not to be altered in an animal model of osteoarthritis [<xref rid="pone.0123132.ref068" ref-type="bibr">68</xref>].</p><p>A second potential factor to consider may be the body weight range of the patient sample. In our dataset, only 2 individuals were classified as normal weight (BMI&lt;25) whilst 9 were overweight (25&lt;BMI&lt;30), 22 were obese (30&lt;BMI&lt;40) and 2 were morbidly obese BMI&gt;40). Thus, our findings relate to an overweight/obese population. This may be of importance for the observed and interpreted results, although the literature is somewhat divergent with respect to the association between circulating endocannabinoid levels and body weight / BMI. Indeed, some studies have reported elevated levels of both AEA and 2-AG in overweight and obese individuals [<xref rid="pone.0123132.ref018" ref-type="bibr">18</xref>, <xref rid="pone.0123132.ref022" ref-type="bibr">22</xref>], some have reported elevations in only one of the endocannabinoids [<xref rid="pone.0123132.ref019" ref-type="bibr">19</xref>, <xref rid="pone.0123132.ref021" ref-type="bibr">21</xref>, <xref rid="pone.0123132.ref028" ref-type="bibr">28</xref>, <xref rid="pone.0123132.ref031" ref-type="bibr">31</xref>], while others have reported no change in either metabolite [<xref rid="pone.0123132.ref024" ref-type="bibr">24</xref>]. The only study investigating the CSF was that of Jumpertz et al. [<xref rid="pone.0123132.ref028" ref-type="bibr">28</xref>], who reported a negative correlation between BMI and AEA, but not 2-AG, levels; but this association was lost in a multivariate analysis adjusting for plasma AEA concentrations. However, our data reveal that central and circulating endocannabinoid levels do not correlate with BMI at least in an osteoarthritis patient population.</p><p>In conclusion, the present study investigated the relationship between obesity factors and peripheral and central endocannabinoids in a population of overweight to obese individuals with severe osteoarthritis. Because endocannabinoid levels are dynamically regulated by feeding and fasting in rodents and humans [<xref rid="pone.0123132.ref016" ref-type="bibr">16</xref>, <xref rid="pone.0123132.ref020" ref-type="bibr">20</xref>, <xref rid="pone.0123132.ref069" ref-type="bibr">69</xref>], it is clear that the relationship between circulating and central endocannabinoids and obesity-related parameters is complex and most likely dependent upon the patient populations selected. Therefore, it should be noted that the conclusions of our study are restricted to this patient category and some of the differences between the present study and other published data for other patient categories may reflect this fact. Nonetheless, the present study provides evidence for the tight coupling between central endocannabinoid and leptin levels and suggests that the regulation of 2-AG levels by leptin observed in the rodent hypothalamus may likewise exist in humans.</p></sec><sec sec-type="supplementary-material" id="sec016"><title>Supporting Information</title><supplementary-material content-type="local-data" id="pone.0123132.s001" position="float" orientation="portrait"><label>S1 Table</label><caption><title>Multiple linear regression analysis with backward elimination for CSF 2-AG as dependent variable, and age (A), BMI (W), gender (G), incidence of diabetes (D) and CSF leptin (L) as independent variables.</title><p>B in the table refers to the unstandardized coefficients, and these are only shown for analyses with significant ANOVA values.</p><p>(DOCX)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0123132.s001.docx" position="float" orientation="portrait"><?suppdata-name pone.0123132.s001.docx?><?suppdata-size 18530?><?suppdata-md5 96fcba05b0d9813e599f05e54928cc80?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type application?><?suppdata-mime-sub-type vnd.openxmlformats-officedocument.wordprocessingml.document?><?suppdata-cloudpmc-urn urn:app:d64b/4383333/96fcba05b0d9/pone.0123132.s001.docx?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0123132.s002" position="float" orientation="portrait"><label>S2 Table</label><caption><title>Multiple linear regression analysis with backward elimination for CSF leptin as dependent variable, and age (A), BMI (W), gender (G), incidence of diabetes (D) and CSF 2-AG (2AG) as independent variables.</title><p>B in the table refers to the unstandardized coefficients, and these are only shown for CSF 2-AG, gender and the constant; the other variables did not reach significance in any case (P &gt; 0.3).</p><p>(DOCX)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0123132.s002.docx" position="float" orientation="portrait"><?suppdata-name pone.0123132.s002.docx?><?suppdata-size 18634?><?suppdata-md5 5ea2da5df92d8a561a23b961c070d350?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type application?><?suppdata-mime-sub-type vnd.openxmlformats-officedocument.wordprocessingml.document?><?suppdata-cloudpmc-urn urn:app:d64b/4383333/5ea2da5df92d/pone.0123132.s002.docx?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material></sec></body><back><ack><p>We would like to thank Robert Rieger at the Stony Brook Proteomics Center for help with mass spectrometry.</p></ack><ref-list><title>References</title><ref id="pone.0123132.ref001"><label>1</label><mixed-citation publication-type="journal">
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