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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2017.01512</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effect of Roux-en-Y Bariatric Surgery on Lipoproteins, Insulin Resistance, and Systemic and Vascular Inflammation in Obesity and Diabetes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yadav</surname> <given-names>Rahul</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/478801"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hama</surname> <given-names>Salam</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/494634"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Yifen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Siahmansur</surname> <given-names>Tarza</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Schofield</surname> <given-names>Jonathan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Syed</surname> <given-names>Akheel A.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>France</surname> <given-names>Michael</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/483174"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pemberton</surname> <given-names>Philip</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Adam</surname> <given-names>Safwaan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ho</surname> <given-names>Jan Hoong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Aghamohammadzadeh</surname> <given-names>Reza</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Dhage</surname> <given-names>Shaishav</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Donn</surname> <given-names>Rachelle</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Malik</surname> <given-names>Rayaz A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>New</surname> <given-names>John P.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Jeziorska</surname> <given-names>Maria</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/483508"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Durrington</surname> <given-names>Paul</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ammori</surname> <given-names>Basil A.</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Soran</surname> <given-names>Handrean</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="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/274615"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Cardiovascular Research Group, Core Technologies Facility, The University of Manchester</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Metabolism, Endocrinology and Diabetes, Central Manchester University Hospitals NHS Foundation Trust</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Endocrinology and Diabetes, Salford Royal NHS Foundation Trust</institution>, <addr-line>Salford</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff4"><sup>4</sup><institution>Faculty of Biology, Medicine and Health, The University of Manchester</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Biochemistry, Central Manchester University Hospitals NHS Foundation Trust</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff6"><sup>6</sup><institution>The Division of Musculoskeletal and Dermatological Sciences, The University of Manchester</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff7"><sup>7</sup><institution>Weill Cornell Medicine-Qatar</institution>, <addr-line>Doha</addr-line>, <country>Qatar</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Surgery, Salford Royal NHS Foundation Trust</institution>, <addr-line>Salford</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Mark Slevin, Manchester Metropolitan University, United Kingdom</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Claudia Stefanutti, Sapienza Universit&#x000E0; di Roma, Italy; Thozhukat Sathyapalan, Hull York Medical School, United Kingdom</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Handrean Soran, <email>hsoran&#x00040;aol.com</email>, <email>handrean.soran&#x00040;mft.nhs.uk</email></corresp>
<fn fn-type="other" id="fn001"><p>Specialty section: This article was submitted to Inflammation, a section of the journal Frontiers in Immunology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>11</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1512</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>09</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>10</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Yadav, Hama, Liu, Siahmansur, Schofield, Syed, France, Pemberton, Adam, Ho, Aghamohammadzadeh, Dhage, Donn, Malik, New, Jeziorska, Durrington, Ammori and Soran.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Yadav, Hama, Liu, Siahmansur, Schofield, Syed, France, Pemberton, Adam, Ho, Aghamohammadzadeh, Dhage, Donn, Malik, New, Jeziorska, Durrington, Ammori and Soran</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) or licensor 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 abstract-type="executive-summary">
<sec id="ST1">
<title>Purpose</title>
<p>Obesity is a major modifiable risk factor for cardiovascular disease. Bariatric surgery is considered to be the most effective treatment option for weight reduction in obese patients with and without type 2 diabetes (T2DM).</p>
</sec>
<sec id="ST2">
<title>Objective</title>
<p>To evaluate changes in lipoproteins, insulin resistance, mediators of systemic and vascular inflammation, and endothelial dysfunction following Roux-en-Y bariatric surgery in obese patients with and without diabetes.</p>
</sec>
<sec id="ST3">
<title>Materials and methods</title>
<p>Lipoproteins, insulin resistance, mediators of systemic and vascular inflammation, and endothelial dysfunction were measured in 37 obese patients with (<italic>n</italic>&#x02009;&#x0003D;&#x02009;17) and without (<italic>n</italic>&#x02009;&#x0003D;&#x02009;20) T2DM, before and 6 and 12 months after Roux-en-Y bariatric surgery. Two way between subject ANOVA was carried out to study the interaction between independent variables (<italic>time since surgery</italic> and <italic>presence of diabetes</italic>) and all dependent variables.</p>
</sec>
<sec id="ST4">
<title>Results</title>
<p>There was a significant effect of <italic>time since surgery</italic> on (large effect size) weight, body mass index (BMI), waist circumference, triglycerides (TG), small-dense LDL apolipoprotein B (sdLDL ApoB), HOMA-IR, CRP, MCP-1, ICAM-1, E-selectin, P-selectin, leptin, and adiponectin. BMI and waist circumference had the largest impact of <italic>time since surgery</italic>. The effect of <italic>time since surgery</italic> was noticed mostly in the first 6&#x02009;months. Absence of diabetes led to a significantly greater reduction in total cholesterol, low-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol although the effect size was small to medium. There was a greater reduction in TG and HOMA-IR in patients with diabetes with a small effect size. No patients were lost to follow up.</p>
</sec>
<sec id="ST5">
<title>Conclusion</title>
<p>Lipoproteins, insulin resistance, mediators of systemic and vascular inflammation, and endothelial dysfunction improve mostly 6&#x02009;months after bariatric surgery in obese patients with and without diabetes.</p>
</sec>
<sec id="ST6">
<title>Clinical Trial Registration</title>
<p><uri xlink:href="https://www.ClinicalTrials.gov">www.ClinicalTrials.gov</uri>, identifier: NCT02169518. <uri xlink:href="https://clinicaltrials.gov/ct2/show/NCT02169518?term&#x0003D;paraoxonase&#x00026;cntry1&#x0003D;EU%3AGB&#x00026;rank&#x0003D;1">https://clinicaltrials.gov/ct2/show/NCT02169518?term&#x0003D;paraoxonase&#x00026;cntry1&#x0003D;EU%3AGB&#x00026;rank&#x0003D;1</uri>.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Roux-en-Y</kwd>
<kwd>lipoproteins</kwd>
<kwd>insulin resistance</kwd>
<kwd>vascular inflammation</kwd>
<kwd>diabetes</kwd>
</kwd-group>
<contract-sponsor id="cn01">Wellcome Trust<named-content content-type="fundref-id">10.13039/100004440</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="1"/>
<ref-count count="35"/>
<page-count count="7"/>
<word-count count="4883"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="introduction">
<title>Introduction</title>
<p>Globally, mean body mass index (BMI) has increased progressively since 1980 (<xref ref-type="bibr" rid="B1">1</xref>). Moreover, a 33% increase in obesity prevalence and a 130% increase in severe obesity prevalence have been projected over the next 2 decades (<xref ref-type="bibr" rid="B2">2</xref>). Excess mortality above the BMI range of 22.5&#x02013;25&#x02009;kg/m<sup>2</sup> is mainly attributed to vascular disease (<xref ref-type="bibr" rid="B3">3</xref>). The outcome of the Swedish obese subjects (SOS) trial indicated that bariatric surgery, when compared with usual care, was associated with a long-term reduction in overall mortality and reduced incidence of type 2 diabetes (T2DM), myocardial infarction, stroke, and cancer (<xref ref-type="bibr" rid="B4">4</xref>). Indeed 72% of patients with T2DM at baseline were in remission 2&#x02009;years after surgery and high baseline insulin and/or high glucose predicted favorable treatment effects, whereas high BMI did not (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>There is evidence that high-sensitivity C-reactive protein (hsCRP), tumor necrosis factor-alpha (TNF&#x003B1;), monocyte chemoattractant protein 1 (MCP-1), intercellular adhesion molecule 1 (ICAM-1), E-selectin, P-selectin, resistin, and leptin may be mediators of insulin resistance, vascular inflammation, and endothelial dysfunction in those with obesity (<xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>). It has been suggested that adiponectin increases insulin sensitivity and reduces the risk of atherosclerosis (<xref ref-type="bibr" rid="B10">10</xref>). Leptin and adiponectin are primarily released from the adipocytes whereas hsCRP, TNF&#x003B1;, MCP-1, and ICAM-1 are chiefly released from non-fat cells in adipose tissue (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>While some studies have shown a significant reduction in mediators of vascular inflammation after bariatric surgery at 6&#x02009;months (<xref ref-type="bibr" rid="B12">12</xref>) and 12&#x02009;months (<xref ref-type="bibr" rid="B13">13</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>), but not at 1&#x02009;month (<xref ref-type="bibr" rid="B17">17</xref>). Other studies have reported no significant change in mediators of vascular inflammation 6&#x02009;months after bariatric surgery (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>In this study, we hypothesized a significant improvement in lipids, lipoproteins, insulin resistance, mediators of systemic and vascular inflammation, and endothelial dysfunction at 6 and 12&#x02009;months after Roux-en-Y bariatric surgery in obese patients with and without diabetes. Outcomes:
<list list-type="order">
<list-item><p>Effect size of time since surgery on dependent variables associated with lipoproteins, insulin resistance, mediators of systemic and vascular inflammation, and endothelial dysfunction at 6 and 12&#x02009;months after Roux-en-Y bariatric surgery (as small, medium, and large).</p></list-item>
<list-item><p>Effect size of presence/absence of diabetes on dependent variables associated with lipoproteins, insulin resistance, mediators of systemic and vascular inflammation, and endothelial dysfunction at 6 and 12&#x02009;months after Roux-en-Y bariatric surgery (as small, medium, and large).</p></list-item>
</list></p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2-1">
<title>Participants</title>
<p>The study was approved by the local research ethics committee. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. We recruited 37 obese patients (17 with T2DM) awaiting bariatric surgery at Salford Royal Hospital (Salford, UK). Informed consent was obtained from all individual participants included in the study. Patients with anemia, acute coronary syndrome within 6&#x02009;months, any malignancy, active infections, autoimmune diseases, HIV, and other chronic diseases were excluded. All smokers were required to stop smoking at least 2&#x02009;weeks prior to the date of surgery. Each participant attended The Wellcome Trust Clinical Research Facility (Manchester, UK) where blood samples were taken at baseline, 6, and 12&#x02009;months. Hypertension was defined as clinic blood pressure 140/90&#x02009;mmHg or higher and subsequent ambulatory blood pressure monitoring daytime average or home blood pressure monitoring average blood pressure of 135/85&#x02009;mmHg or higher (NICE Clinical Guideline 127, <uri xlink:href="https://www.nice.org.uk/guidance/CG127/chapter/1-Guidance&#x00023;diagnosing-hypertension-2">https://www.nice.org.uk/guidance/CG127/chapter/1-Guidance&#x00023;diagnosing-hypertension-2</uri>).</p>
</sec>
<sec id="S2-2">
<title>Separation of Serum and Plasma</title>
<p>Blood samples were collected between 09:00 and 11:00&#x02009;hr after participants had fasted from 22:00&#x02009;hr the previous day. Serum and EDTA-plasma were isolated by centrifugation at 2,000&#x02009;&#x000D7;&#x02009;<italic>g</italic> for 15&#x02009;min at 4&#x000B0;C within 2&#x02009;h of collection and were maintained at that temperature until further use. Aliquots for biochemical analysis were frozen at &#x02212;80&#x000B0;C.</p>
</sec>
<sec id="S2-3">
<title>Laboratory Analyses</title>
<p>Total cholesterol (TC) was measured using the cholesterol oxidase phenol 4-aminoantipyrine peroxidase method, triglycerides (TG) by the glycerol phosphate oxidase phenol 4-aminoantipyrine peroxidase method, and apolipoprotein A1 (apo-A1) and apolipoprotein B (apo B) were assayed using immunoturbidimetric assays (ABX Diagnostics, Shefford, UK). High-density lipoprotein cholesterol (HDL-C) was assayed using a second-generation homogenous direct method (Roche Diagnostics, Burgess Hill, UK). All these tests were performed on a Cobas Mira analyser (Horiba ABX Diagnostics, Nottingham, UK). The laboratory participated in the RIQAS (Randox International Quality Assessment Scheme; Randox Laboratories, Dublin, Ireland) scheme which is CRC calibrated. Low-density lipoprotein cholesterol (LDL-C) was estimated using the Friedewald formula. Non-HDL-C was estimated using the formula: non-HDL-C&#x02009;&#x0003D;&#x02009;(TC)&#x02009;&#x02212;&#x02009;(HDL-C).</p>
<p>Small-dense LDL apolipoprotein B (sdLDL apoB) (density range 1.044&#x02013;1.063&#x02009;g/mL) was isolated from plasma adjusted to density of 1.044&#x02009;g/mL and ultracentrifuged at 100,000&#x02009;rpm (435,680&#x02009;&#x000D7;&#x02009;<italic>g</italic>) for 5&#x02009;h at 4&#x000B0;C using a Beckman Optima TLX bench top ultracentrifuge fitted with TLA 120.2 fixed angle rotor (Beckman Coulter UK) (<xref ref-type="bibr" rid="B19">19</xref>). ApoB in SdLDL was determined using the method described above.</p>
</sec>
<sec id="S2-4">
<title>Biomarkers</title>
<p>An in-house, antibody sandwich ELISA technique using anti-human CRP antibodies, calibrators, and controls from Abcam (Cambridge, UK) was used to measure hsCRP. TNF&#x003B1;, adiponectin, leptin, resistin, MCP-1, E-selectin, P-selectin, resistin, and ICAM-1 were all measured using DuoSet ELISA development kits from R&#x00026;D Systems (Abingdon, UK).</p>
<p>Glycated hemoglobin (HbA1c) and fasting blood glucose were measured using the standard laboratory methods in the Department of Clinical Biochemistry, Central Manchester University Hospitals National Health Service Foundation Trust. Insulin was determined in plasma using Mercodia ELISA kits from Diagenics Ltd. (Milton Keynes, UK). Homeostatic model assessment was used to assess insulin resistance (HOMA-IR) using the following formula (<xref ref-type="bibr" rid="B20">20</xref>):
<disp-formula id="E1"><mml:math id="M1"><mml:mrow><mml:mtext>HOMA</mml:mtext><mml:mo>&#x02212;</mml:mo><mml:mtext>IR</mml:mtext><mml:mo>=</mml:mo><mml:mrow><mml:mo>[</mml:mo><mml:mrow><mml:mtext>insulin</mml:mtext><mml:mspace width="0.2em"/><mml:mo stretchy='false'>(</mml:mo><mml:mtext>mU/l</mml:mtext><mml:mo stretchy='false'>)</mml:mo><mml:mo>&#x000D7;</mml:mo><mml:mtext>glucose</mml:mtext><mml:mspace width="0.2em"/><mml:mo stretchy='false'>(</mml:mo><mml:mtext>mmol/l</mml:mtext><mml:mo stretchy='false'>)</mml:mo></mml:mrow><mml:mo>]</mml:mo></mml:mrow><mml:mn>/22.5</mml:mn><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>
</sec>
<sec id="S2-5">
<title>Statistical Analyses</title>
<p>Statistical analysis was performed with SPSS for Windows, Version 16.0 (Chicago, SPSS Inc.). Two way between subject ANOVA was carried out to study the interaction between independent variables (<italic>time since surgery</italic> and <italic>diabetes)</italic> and all dependent variables (e.g., weight, LDL-C, HOMA-IR, and TNF&#x003B1;). Univariate analysis was done to calculate effect size. R-E-G-W-Q was selected as the <italic>post hoc</italic> test for <italic>time since surgery</italic> but not <italic>diabetes</italic> as the latter independent variable had only two levels (i.e., presence or absence of diabetes). As sample sizes were similar, this test offered good control of type 1 error and a superior ability to detect the difference if present. Partial <italic>eta</italic> squared (&#x003B7;<sup>2</sup>) was calculated to establish the variance in dependent variables attributed to independent variables. &#x003B7;<sup>2</sup> effect was graded as 0.01&#x02009;&#x0003D;&#x02009;small, 0.06&#x02009;&#x0003D;&#x02009;medium, and 0.14&#x02009;&#x0003D;&#x02009;large. If effect of independent variables on dependent variables was significant, pairwise comparisons were reviewed to check in which period (0&#x02013;6&#x02009;months post surgery or 6&#x02013;12&#x02009;months post surgery) the main effect lay. Effect has been reported as <italic>F</italic> (dF, error)&#x02009;&#x0003D;&#x02009;<italic>F</italic> value, <italic>P</italic>-value, &#x003B7;<sup>2</sup> (effect size) [where <italic>F</italic> is effect and dF is degrees of freedom]. Differences were considered as statistically significant at <italic>P</italic>&#x02009;&#x0003C;&#x02009;0.05.</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<p>Of the 37 obese patients in the study, the mean age was 49 (range, 26&#x02013;63) years, mean BMI 52 (9), 17 (45%) had T2DM, 23 (60%) had hypertension, 8 (20%) were smokers, 5 (15%) were known to have ischemic heart disease, and 22 (60%) patients took a statin. In the non-diabetes patients (<italic>n</italic>&#x02009;&#x0003D;&#x02009;20), eight (40%) were on statins (Atorvastatin equivalent dose 10&#x02013;40&#x02009;mg/day), whereas in the diabetes patients (<italic>n</italic>&#x02009;&#x0003D;&#x02009;17), 15 (90%) patients were on a statin (Atorvastatin equivalent dose 10&#x02013;40&#x02009;mg/day). Characteristics of all patients, non-diabetes patients and diabetes patients at baseline, 6, and 12&#x02009;months have been presented in Table <xref ref-type="table" rid="T1">1</xref> and Figure <xref ref-type="fig" rid="F1">1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of all patients, non-diabetic group and diabetes group at baseline, 6&#x02009;months, and 12&#x02009;months after surgery.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center" colspan="3">All patients (<italic>n</italic>&#x02009;&#x0003D;&#x02009;37)<hr/></th>
<th valign="top" align="center" colspan="3">Non-diabetic patients (<italic>n</italic>&#x02009;&#x0003D;&#x02009;20)<hr/></th>
<th valign="top" align="center" colspan="3">Diabetes patients (<italic>n</italic>&#x02009;&#x0003D;&#x02009;17)<hr/></th>
</tr>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">6&#x02009;months</th>
<th valign="top" align="center">12&#x02009;months</th>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">6&#x02009;months</th>
<th valign="top" align="center">12&#x02009;months</th>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">6&#x02009;months</th>
<th valign="top" align="center">12&#x02009;months</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Weight (kg)</td>
<td align="center" valign="top">140 (21)</td>
<td align="center" valign="top">105 (25)</td>
<td align="center" valign="top">93 (22)</td>
<td align="center" valign="top">138 (29)</td>
<td align="center" valign="top">105 (25)</td>
<td align="center" valign="top">91 (22)</td>
<td align="center" valign="top">143 (32)</td>
<td align="center" valign="top">105 (26)</td>
<td align="center" valign="top">95 (23)</td>
</tr>
<tr>
<td align="left" valign="top">Body mass index (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">52 (9)</td>
<td align="center" valign="top">39 (7)</td>
<td align="center" valign="top">35 (7)</td>
<td align="center" valign="top">51 (9)</td>
<td align="center" valign="top">38 (7)</td>
<td align="center" valign="top">34 (7)</td>
<td align="center" valign="top">53 (9)</td>
<td align="center" valign="top">40 (8)</td>
<td align="center" valign="top">36 (7)</td>
</tr>
<tr>
<td align="left" valign="top">% EWL</td>
<td align="center" valign="top"/>
<td align="center" valign="top">46 (40&#x02013;60)</td>
<td align="center" valign="top">63 (51&#x02013;77)</td>
<td align="center" valign="top"/>
<td align="center" valign="top">46 (42&#x02013;59)</td>
<td align="center" valign="top">69 (51&#x02013;77)</td>
<td align="center" valign="top"/>
<td align="center" valign="top">49 (33&#x02013;62)</td>
<td align="center" valign="top">60 (48&#x02013;74)</td>
</tr>
<tr>
<td align="left" valign="top">Waist circumference (cm)</td>
<td align="center" valign="top">141 (17)</td>
<td align="center" valign="top">116 (15)</td>
<td align="center" valign="top">106 (15)</td>
<td align="center" valign="top">141 (16)</td>
<td align="center" valign="top">114 (13)</td>
<td align="center" valign="top">104 (15)</td>
<td align="center" valign="top">141 (18)</td>
<td align="center" valign="top">119 (18)</td>
<td align="center" valign="top">109 (15)</td>
</tr>
<tr>
<td align="left" valign="top">SBP (mmHg)</td>
<td align="center" valign="top">135 (22)</td>
<td align="center" valign="top">127 (20)</td>
<td align="center" valign="top">124 (20)</td>
<td align="center" valign="top">140 (25)</td>
<td align="center" valign="top">124 (21)</td>
<td align="center" valign="top">128 (23)</td>
<td align="center" valign="top">129 (19)</td>
<td align="center" valign="top">131 (19)</td>
<td align="center" valign="top">119 (14)</td>
</tr>
<tr>
<td align="left" valign="top">DBP (mmHg)</td>
<td align="center" valign="top">74 (13)</td>
<td align="center" valign="top">75 (13)</td>
<td align="center" valign="top">69 (10)</td>
<td align="center" valign="top">76 (15)</td>
<td align="center" valign="top">73 (13)</td>
<td align="center" valign="top">71 (11)</td>
<td align="center" valign="top">71 (90)</td>
<td align="center" valign="top">77 (12)</td>
<td align="center" valign="top">68 (10)</td>
</tr>
<tr>
<td align="left" valign="top">Total cholesterol (mmol/l)</td>
<td align="center" valign="top">4.84 (1.30)</td>
<td align="center" valign="top">4.94 (1.31)</td>
<td align="center" valign="top">4.57 (0.80)</td>
<td align="center" valign="top">5.26 (1.51)</td>
<td align="center" valign="top">5.00 (91.22)</td>
<td align="center" valign="top">4.76 (0.71)</td>
<td align="center" valign="top">4.36 (0.80)</td>
<td align="center" valign="top">4.87 (1.46)</td>
<td align="center" valign="top">4.36 (0.88)</td>
</tr>
<tr>
<td align="left" valign="top">Triglycerides (TG) (mmol/l)</td>
<td align="center" valign="top">1.75 (0.84)</td>
<td align="center" valign="top">1.45 (0.45)</td>
<td align="center" valign="top">1.16 (0.39)</td>
<td align="center" valign="top">1.55 (0.63)</td>
<td align="center" valign="top">1.37 (0.47)</td>
<td align="center" valign="top">1.12 (0.32)</td>
<td align="center" valign="top">1.98 (1.00)</td>
<td align="center" valign="top">1.54 (0.43)</td>
<td align="center" valign="top">1.22 (0.46)</td>
</tr>
<tr>
<td align="left" valign="top">Low density lipoprotein cholesterol (mmol/l)</td>
<td align="center" valign="top">2.81 (1.19)</td>
<td align="center" valign="top">3.04 (1.15)</td>
<td align="center" valign="top">2.56 (0.77)</td>
<td align="center" valign="top">3.28 (1.37)</td>
<td align="center" valign="top">3.17 (1.10)</td>
<td align="center" valign="top">2.75 (0.75)</td>
<td align="center" valign="top">2.26 (0.61)</td>
<td align="center" valign="top">2.89 (1.22)</td>
<td align="center" valign="top">2.34 (0.75)</td>
</tr>
<tr>
<td align="left" valign="top">Non-high density lipoprotein cholesterol (HDL-C, mmol/l)</td>
<td align="center" valign="top">3.61 (1.21)</td>
<td align="center" valign="top">3.66 (1.19)</td>
<td align="center" valign="top">3.09 (0.75)</td>
<td align="center" valign="top">3.99 (1.44)</td>
<td align="center" valign="top">3.71 (1.11)</td>
<td align="center" valign="top">3.25 (0.71)</td>
<td align="center" valign="top">3.17 (0.68)</td>
<td align="center" valign="top">3.59 (1.31)</td>
<td align="center" valign="top">2.90 (0.77)</td>
</tr>
<tr>
<td align="left" valign="top">Small-dense LDL apolipoprotein B (mg/dl)</td>
<td align="center" valign="top">23.19 (12.01)</td>
<td align="center" valign="top">13.86 (7.51)</td>
<td align="center" valign="top">11.57 (5.39)</td>
<td align="center" valign="top">24.23 (14.75)</td>
<td align="center" valign="top">13.46 (5.57)</td>
<td align="center" valign="top">11.10 (5.07)</td>
<td align="center" valign="top">22.04 (8.24)</td>
<td align="center" valign="top">14.34 (9.54)</td>
<td align="center" valign="top">12.10 (5.84)</td>
</tr>
<tr>
<td align="left" valign="top">ApoB (g/l)</td>
<td align="center" valign="top">0.96 (0.25)</td>
<td align="center" valign="top">1.01 (0.31)</td>
<td align="center" valign="top">0.88 (0.20)</td>
<td align="center" valign="top">1.01 (0.30)</td>
<td align="center" valign="top">1.01 (0.30)</td>
<td align="center" valign="top">0.91 (0.20)</td>
<td align="center" valign="top">0.90 (0.16)</td>
<td align="center" valign="top">1.02 (0.34)</td>
<td align="center" valign="top">0.84 (0.20)</td>
</tr>
<tr>
<td align="left" valign="top">HDL-C (mmol/l)</td>
<td align="center" valign="top">1.22 (0.29)</td>
<td align="center" valign="top">1.28 (0.34)</td>
<td align="center" valign="top">1.4 (0.34)</td>
<td align="center" valign="top">1.26 (0.34)</td>
<td align="center" valign="top">1.28 (0.37)</td>
<td align="center" valign="top">1.51 (0.35)</td>
<td align="center" valign="top">1.18 (0.22)</td>
<td align="center" valign="top">1.27 (0.31)</td>
<td align="center" valign="top">1.46 (0.34)</td>
</tr>
<tr>
<td align="left" valign="top">ApoA (g/l)</td>
<td align="center" valign="top">1.33 (0.23)</td>
<td align="center" valign="top">1.31 (0.24)</td>
<td align="center" valign="top">1.36 (0.22)</td>
<td align="center" valign="top">1.28 (0.27)</td>
<td align="center" valign="top">1.27 (0.25)</td>
<td align="center" valign="top">1.35 (0.24)</td>
<td align="center" valign="top">1.39 (0.17)</td>
<td align="center" valign="top">1.35 (0.23)</td>
<td align="center" valign="top">1.38 (0.21)</td>
</tr>
<tr>
<td align="left" valign="top">Adiponectin (mg/l)</td>
<td align="center" valign="top">1.59 (0.70)</td>
<td align="center" valign="top">2.15 (0.88)</td>
<td align="center" valign="top">2.74 (1.16)</td>
<td align="center" valign="top">1.64 (0.75)</td>
<td align="center" valign="top">2.22 (0.93)</td>
<td align="center" valign="top">2.90 (1.22)</td>
<td align="center" valign="top">1.54 (0.66)</td>
<td align="center" valign="top">2.07 (0.83)</td>
<td align="center" valign="top">2.56 (1.09)</td>
</tr>
<tr>
<td align="left" valign="top">Leptin (ng/l)</td>
<td align="center" valign="top">85.87 (49.50)</td>
<td align="center" valign="top">32.63 (26.86)</td>
<td align="center" valign="top">23.72 (24.06)</td>
<td align="center" valign="top">91.86 (51.04)</td>
<td align="center" valign="top">33.37 (27.45)</td>
<td align="center" valign="top">22.64 (15.28)</td>
<td align="center" valign="top">78.82 (48.19)</td>
<td align="center" valign="top">31.71 (26.98)</td>
<td align="center" valign="top">25.00 (31.98)</td>
</tr>
<tr>
<td align="left" valign="top">HOMA-IR</td>
<td align="center" valign="top">8.12 (6.69)</td>
<td align="center" valign="top">3.80 (4.27)</td>
<td align="center" valign="top">2.68 (2.79)</td>
<td align="center" valign="top">6.02 (3.48)</td>
<td align="center" valign="top">3.57 (5.34)</td>
<td align="center" valign="top">1.95 (1.63)</td>
<td align="center" valign="top">10.60 (8.63)</td>
<td align="center" valign="top">4.10 (2.50)</td>
<td align="center" valign="top">3.53 (3.61)</td>
</tr>
<tr>
<td align="left" valign="top">CRP (mg/l)</td>
<td align="center" valign="top">10.25 (10.66)</td>
<td align="center" valign="top">5.42 (7.69)</td>
<td align="center" valign="top">2.20 (2.51)</td>
<td align="center" valign="top">9.23 (9.52)</td>
<td align="center" valign="top">4.83 (5.83)</td>
<td align="center" valign="top">2.00 (2.08)</td>
<td align="center" valign="top">11.46 (12.05)</td>
<td align="center" valign="top">6.16 (9.70)</td>
<td align="center" valign="top">2.43 (2.99)</td>
</tr>
<tr>
<td align="left" valign="top">Tumor necrosis factor-alpha (pg/ml)</td>
<td align="center" valign="top">33.50 (39.50)</td>
<td align="center" valign="top">30.50 (51.09)</td>
<td align="center" valign="top">11.33 (29.90)</td>
<td align="center" valign="top">33.04 (38.36)</td>
<td align="center" valign="top">31.49 (40.50)</td>
<td align="center" valign="top">15.89 (39.17)</td>
<td align="center" valign="top">34.04 (41.94)</td>
<td align="center" valign="top">29.26 (63.32)</td>
<td align="center" valign="top">5.96 (11.53)</td>
</tr>
<tr>
<td align="left" valign="top">Monocyte chemoattractant protein 1 (pg/ml)</td>
<td align="center" valign="top">288 (147)</td>
<td align="center" valign="top">222 (129)</td>
<td align="center" valign="top">154 (84)</td>
<td align="center" valign="top">273 (148)</td>
<td align="center" valign="top">207 (116)</td>
<td align="center" valign="top">162 (80)</td>
<td align="center" valign="top">307 (149)</td>
<td align="center" valign="top">240 (146)</td>
<td align="center" valign="top">145 (91)</td>
</tr>
<tr>
<td align="left" valign="top">Intercellular adhesion molecule 1 (ng/ml)</td>
<td align="center" valign="top">226 (104)</td>
<td align="center" valign="top">184 (75)</td>
<td align="center" valign="top">134 (38)</td>
<td align="center" valign="top">224 (73)</td>
<td align="center" valign="top">176 (54)</td>
<td align="center" valign="top">135 (39)</td>
<td align="center" valign="top">228 (134)</td>
<td align="center" valign="top">193 (96)</td>
<td align="center" valign="top">134 (38)</td>
</tr>
<tr>
<td align="left" valign="top">E-selectin (ng/ml)</td>
<td align="center" valign="top">12.05 (5.80)</td>
<td align="center" valign="top">9.50 (3.87)</td>
<td align="center" valign="top">3.10 (3.67)</td>
<td align="center" valign="top">11.89 (5.32)</td>
<td align="center" valign="top">7.33 (3.11)</td>
<td align="center" valign="top">7.52 (3.41)</td>
<td align="center" valign="top">12.30 (6.48)</td>
<td align="center" valign="top">7.71 (4.75)</td>
<td align="center" valign="top">6.61 (4.00)</td>
</tr>
<tr>
<td align="left" valign="top">P-selectin (ng/ml)</td>
<td align="center" valign="top">36.22 (13.95)</td>
<td align="center" valign="top">30.37 (10.75)</td>
<td align="center" valign="top">23.16 (7.52)</td>
<td align="center" valign="top">37.13 (14.47)</td>
<td align="center" valign="top">29.30 (9.90)</td>
<td align="center" valign="top">22.87 (6.03)</td>
<td align="center" valign="top">35.15 (13.68)</td>
<td align="center" valign="top">31.70 (11.91)</td>
<td align="center" valign="top">23.48 (9.13)</td>
</tr>
<tr>
<td align="left" valign="top">Resistin (ng/ml)</td>
<td align="center" valign="top">14.78 (6.20)</td>
<td align="center" valign="top">14.60 (6.54)</td>
<td align="center" valign="top">11.30 (5.32)</td>
<td align="center" valign="top">14.39 (3.78)</td>
<td align="center" valign="top">14.66 (5.33)</td>
<td align="center" valign="top">12.02 (4.91)</td>
<td align="center" valign="top">15.23 (8.32)</td>
<td align="center" valign="top">14.53 (7.98)</td>
<td align="center" valign="top">10.44 (5.80)</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>Values in mean&#x02009;&#x000B1;&#x02009;SD. No patients were lost to follow-up</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Various parameters before, and 6 and 12&#x02009;months after bariatric surgery: body mass index (BMI) <bold>(A)</bold>, small-dense LDL apolipoprotein B (sdLDL apoB) <bold>(B)</bold>, HOMA-IR <bold>(C)</bold>, CRP <bold>(D)</bold>, MCP-1 <bold>(E)</bold>, and adiponectin <bold>(F)</bold>. Results are given as mean (&#x000B1;SEM).</p></caption>
<graphic xlink:href="fimmu-08-01512-g001.tif"/>
</fig>
<sec id="S3-1">
<title>Time since Surgery</title>
<p>There was a significant effect of <italic>time since surgery</italic> on lipoproteins, insulin resistance, mediators of systemic and vascular inflammation, and endothelial dysfunction (Table <xref ref-type="table" rid="T2">2</xref>). A large effect size was seen on weight, BMI, waist circumference, TG, sdLDL ApoB, HOMA-IR, CRP, MCP-1, ICAM-1, E-selectin, P-selectin, leptin, and adiponectin. Medium effect size was seen on HDL-C, TNF&#x003B1;, and resistin and small effect size was seen on non-HDL-C. BMI and waist circumference had the largest impact of <italic>time since surgery</italic>. The effect of <italic>time since surgery</italic> was noticed mostly in the first 6&#x02009;months.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Shows effect size of time since surgery on dependent variables as small, medium, and large (only data with significant <italic>P</italic> values shown).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center"><italic>F</italic> (dF; error)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
<th valign="top" align="center">Partial eta square (effect size)</th>
<th valign="top" align="center"><italic>P</italic>-value for effect at 6&#x02009;months since surgery</th>
<th valign="top" align="center"><italic>P</italic>-value for effect between 6 and 12&#x02009;months after surgery</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Weight</td>
<td align="center" valign="top">31.93 (2; 70,843)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.38 (large)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.167</td>
</tr>
<tr>
<td align="left" valign="top">Body mass index</td>
<td align="center" valign="top">49.65 (2; 5,992)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.49 (large)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.095</td>
</tr>
<tr>
<td align="left" valign="top">Waist circumference</td>
<td align="center" valign="top">47.98 (2; 2,5091)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.48 (large)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">&#x0003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">Triglycerides (TG)</td>
<td align="center" valign="top">9.39 (2; 36)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.15 (large)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">0.129</td>
</tr>
<tr>
<td align="left" valign="top">Non-high density lipoprotein cholesterol (HDL-C)</td>
<td align="center" valign="top">3.27 (2; 116)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">0.005 (small)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">&#x0003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">Small-dense LDL apolipoprotein B</td>
<td align="center" valign="top">16.82 (2; 7,820)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.25 (large)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.86</td>
</tr>
<tr>
<td align="left" valign="top">HDL-C</td>
<td align="center" valign="top">6.19 (2; 11)</td>
<td align="center" valign="top">&#x0003C;0.005</td>
<td align="center" valign="top">0.10 (medium)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">&#x0003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">HOMA-IR</td>
<td align="center" valign="top">14.32 (2; 2,319)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.21 (large)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.983</td>
</tr>
<tr>
<td align="left" valign="top">CRP</td>
<td align="center" valign="top">10.09 (2; 6,336)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.16 (large)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">0.23</td>
</tr>
<tr>
<td align="left" valign="top">Tumor necrosis factor-alpha</td>
<td align="center" valign="top">3.19 (2; 178,782)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">0.06 (medium)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">&#x0003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">Monocyte chemoattractant protein 1</td>
<td align="center" valign="top">11.14 (2; 1,599,516)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.17 (large)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">&#x0003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">Intercellular adhesion molecule 1</td>
<td align="center" valign="top">12.74 (2; 632,746)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.20 (large)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">&#x0003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">E-selectin</td>
<td align="center" valign="top">13.17 (2; 2,214)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.20 (large)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">1.0</td>
</tr>
<tr>
<td align="left" valign="top">P-selectin</td>
<td align="center" valign="top">9.34 (2; 12,327)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.17 (large)</td>
<td align="center" valign="top">0.123</td>
<td align="center" valign="top">&#x0003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">Leptin</td>
<td align="center" valign="top">31.81 (2; 132,717)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.38 (large)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.90</td>
</tr>
<tr>
<td align="left" valign="top">Resistin</td>
<td align="center" valign="top">3.9 (2; 3,875)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">0.071 (medium)</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">&#x0003C;0.05</td>
</tr>
<tr>
<td align="left" valign="top">Adiponectin</td>
<td align="center" valign="top">13.38 (2; 92)</td>
<td align="center" valign="top">&#x0003C;0.0001</td>
<td align="center" valign="top">0.20 (large)</td>
<td align="center" valign="top">&#x0003C;0/05</td>
<td align="center" valign="top">&#x0003C;0.05</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>Also shows P values for effect at 6&#x02009;months since surgery and from 6 to 12&#x02009;months after surgery</italic>.</p>
<p><italic>F, effect that is being reported; dF, degrees of freedom</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3-2">
<title>Diabetes</title>
<p>Absence of diabetes led to a significantly greater reduction in TC, LDL-C, and non-HDL-C although the effect size was small to medium (Table <xref ref-type="table" rid="T3">3</xref>). There was a greater reduction in TG and HOMA-IR in patients with diabetes with a small effect size (Table <xref ref-type="table" rid="T3">3</xref>). No patients were lost to follow-up.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Shows effect size of diabetes on dependent variables as small, medium, and large (only data with significant <italic>P</italic> values shown).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center"><italic>F</italic> (dF, error)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
<th valign="top" align="center">Partial eta square (effect size)</th>
<th valign="top" align="left">Comments</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Total cholesterol</td>
<td align="center" valign="top">4.71 (1, 137)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">0.043 (small)</td>
<td align="left" valign="top">Absence of diabetes led to greater reduction</td>
</tr>
<tr>
<td align="left" valign="top">Triglycerides</td>
<td align="center" valign="top">4.18 (1, 36)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">0.039 (small)</td>
<td align="left" valign="top">Presence of diabetes led to greater reduction</td>
</tr>
<tr>
<td align="left" valign="top">Low-density lipoprotein cholesterol</td>
<td align="center" valign="top">8.51 (1, 107)</td>
<td align="center" valign="top">&#x0003C;0.005</td>
<td align="center" valign="top">0.076 (medium)</td>
<td align="left" valign="top">Absence of diabetes led to greater reduction</td>
</tr>
<tr>
<td align="left" valign="top">Non&#x02013;high-density lipoprotein cholesterol</td>
<td align="center" valign="top">4.5 (1, 116)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">0.042 (small)</td>
<td align="left" valign="top">Absence of diabetes led to greater reduction</td>
</tr>
<tr>
<td align="left" valign="top">HOMA-IR</td>
<td align="center" valign="top">6.07 (1, 2319)</td>
<td align="center" valign="top">&#x0003C;0.05</td>
<td align="center" valign="top">0.05 (small)</td>
<td align="left" valign="top">Presence of diabetes led to greater reduction</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>F, effect that is being reported, dF, degrees of freedom</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>In this study of morbidly obese patients with or without diabetes followed over 6 and 12&#x02009;months after Roux-en-Y gastric bypass surgery, we found a significant reduction in pro-atherosclerotic lipoproteins, insulin resistance, mediators of systemic and vascular inflammation, and endothelial dysfunction.</p>
<p>Bariatric surgery has been shown to consistently achieve significant and sustained weight loss; however, the effect on various markers of inflammation is quite variable. A recent meta-analysis evaluated the changes in blood levels of CRP and TNF&#x003B1; after bariatric surgery (<xref ref-type="bibr" rid="B21">21</xref>). There was a 54 and 81% reduction in CRP at 6 and 12&#x02009;months, respectively, which is comparable to our study where we show a 47 and 78% reduction in CRP. While TNF&#x003B1; was only reduced by 1.3 and 1.2% at 6 and 12&#x02009;months, respectively, in our study we report a 9 and 66% reduction. The much greater reduction in TNF&#x003B1; in our study compared with the meta-analysis could be due to a higher baseline BMI which was 52&#x02009;kg/m<sup>2</sup> compared to other studies included in the meta-analysis where the average BMI was &#x0003C;50&#x02009;kg/m<sup>2</sup>. It could also reflect the use of Roux-en-Y surgery in our study compared to a variety of procedures, such as laparoscopic-adjustable gastric banding (LAGB), biliopancreatic diversion (BPD), or sleeve gastrectomy (SG) in the meta-analysis. There could also be significant differences in the number of patients with non-alcoholic steatohepatitis or ectopic adipose tissue, where the effect of weight loss may differ. Indeed Bachmayer et al. have reported no significant change in TNF&#x003B1;, MCP-1, or adiponectin, 12&#x02009;months after Roux-en-Y, SG, and BPD (<xref ref-type="bibr" rid="B22">22</xref>). Auguet et al. have demonstrated a significant reduction in weight, insulin resistance, and CRP and circulating TNF receptors at both 6 and 12&#x02009;months, with an increase in adiponectin at 6 but not 12&#x02009;months after bariatric surgery (<xref ref-type="bibr" rid="B23">23</xref>). Sdralis et al. have demonstrated a significant fall in insulin with an increase in adiponectin with no change in TNF&#x003B1; even at 12&#x02009;months (<xref ref-type="bibr" rid="B24">24</xref>). Thus, this area of research needs larger trials with a more uniform baseline weight and postoperative weight loss as well as surgical intervention such as Roux-en-Y surgery as it may lead to an exaggerated glucagon-like peptide-1 response, which may not be seen with LAGB, SG, and BPD (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>In human studies, the role of resistin in insulin resistance and glucose metabolism is inconclusive (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Bariatric surgery results in a significant reduction in resistin levels at 12 months which correlates with insulin resistance (<xref ref-type="bibr" rid="B28">28</xref>). Our study confirms the significant reduction in resistin levels 12&#x02009;months after bariatric surgery.</p>
<p>Tumor necrosis factor-alpha may play a direct role in the development of atherosclerosis through induction of ICAM-1, MCP-1, P-selectin, and E-selectin in endothelial and vascular smooth muscle cells resulting in endothelial cell apoptosis (<xref ref-type="bibr" rid="B29">29</xref>). Moreover, resistin augments the expression of endothelin-1, MCP-1, and ICAM-1 in endothelial cells (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). The continued reduction in resistin and TNF&#x003B1; in the obese diabetic group up to 12&#x02009;months after surgery may explain the reduction in HOMA-IR, MCP-1, and ICAM-1 in this group over the same period.</p>
<p>SdLDL apoB is a LDL subtype closely associated with diabetes and atherosclerosis (<xref ref-type="bibr" rid="B32">32</xref>), because of its greater susceptibility to undergo oxidative modification and glycation compared with more buoyant LDL (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). While LAGB has been shown to modestly reduce sdLDL apoB at 12&#x02009;months (<xref ref-type="bibr" rid="B35">35</xref>), our study shows a much more robust reduction in sdLDL apoB at 6&#x02009;months with Roux-en-Y bariatric surgery.</p>
<p>We also demonstrate no change in apo-A1 but a significant increase in HDL-C after surgery which may indicate increased cholesterol cargo of HDL lipoproteins returning from the peripheral vasculature back to the liver, i.e., reverse cholesterol transport.</p>
<p>In the DM group, TC and LDL-C did not change significantly probably reflecting the fact that 90% of the DM group were already on long-term statins.</p>
<sec id="S4-1">
<title>Limitations</title>
<p>The 12-month follow-up of patients was relatively short. All patients recruited for this study underwent Roux-en-Y bariatric surgery; therefore, these results may not be generalized to all categories of bariatric surgery. The number of patients included in this study was limited by availability.</p>
</sec>
</sec>
<sec id="S5">
<title>Conclusion</title>
<p>Lipoproteins, insulin resistance, mediators of systemic and vascular inflammation, and endothelial dysfunction improve most 6&#x02009;months after bariatric surgery in obese patients with and without diabetes. The greater reduction in inflammatory markers in our study compared to published meta-analyses may reflect a greater impact of Roux-en-Y surgery on weight loss achieved and may in the long-term translate to more pronounced cardiovascular benefit.</p>
</sec>
<sec id="S6">
<title>Ethics Statement</title>
<p>This study was carried out in accordance with the recommendations of NRES Committee North West&#x02014;Greater Manchester Central with written informed consent from all subjects. All subjects gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by the NRES Committee North West&#x02014;Greater Manchester Central.</p>
</sec>
<sec id="S7" sec-type="author-contributor">
<title>Author Contributions</title>
<p>HS, PD, and BA designed the study. RY, AS, SH, RA, JN, SA, and JH recruited patients and organized follow-ups. HS, RY, SH, YL, JS, MF, SA, TS, JH, PP, MJ, and RD did laboratory work and data analysis. RY, SH, RM, RD, PD, BA, JS, TS, RA, SD, and HS prepared the first draft. All authors contributed in revising the manuscript for important intellectual content. All authors approved of the version to be published. All authors agreed to be accountable for all aspects of the work.</p>
</sec>
<sec id="S8">
<title>Conflict of Interest Statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was funded by Lipid Disease Fund and supported by the National Institute for Health Research/Wellcome Trust Clinical Research Facility at Central Manchester University Hospitals NHS Foundation Trust, Greater Manchester Clinical Research Network.</p></fn>
</fn-group>
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