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<art>
   <ui>1476-511X-4-25</ui>
   <ji>1476-511X</ji>
   <fm>
      <dochead>Research</dochead>
      <bibl>
         <title>
            <p>HDL enhances oxidation of LDL in vitro in both men and women</p>
         </title>
         <aug>
            <au id="A1" ca="yes">
               <snm>Solakivi</snm>
               <fnm>T</fnm>
               <insr iid="I1"/>
               <email>tiina.solakivi@uta.fi</email>
            </au>
            <au id="A2">
               <snm>Jaakkola</snm>
               <fnm>O</fnm>
               <insr iid="I2"/>
               <email>olli.jaakkola@uta.fi</email>
            </au>
            <au id="A3">
               <snm>Salom&#228;ki</snm>
               <fnm>A</fnm>
               <insr iid="I3"/>
               <email>anne.salomaki@luukku.com</email>
            </au>
            <au id="A4">
               <snm>Peltonen</snm>
               <fnm>N</fnm>
               <insr iid="I3"/>
               <email>nina.peltonen@surfeu.fi</email>
            </au>
            <au id="A5">
               <snm>Metso</snm>
               <fnm>S</fnm>
               <insr iid="I3"/>
               <insr iid="I4"/>
               <email>saara.metso@pshp.fi</email>
            </au>
            <au id="A6">
               <snm>Lehtim&#228;ki</snm>
               <fnm>T</fnm>
               <insr iid="I3"/>
               <email>terho.lehtimaki@pshp.fi</email>
            </au>
            <au id="A7">
               <snm>Jokela</snm>
               <fnm>H</fnm>
               <insr iid="I3"/>
               <email>hannu.jokela@wlanmail.fi</email>
            </au>
            <au id="A8">
               <snm>Nikkari</snm>
               <fnm>ST</fnm>
               <insr iid="I1"/>
               <insr iid="I3"/>
               <email>seppo.nikkari@uta.fi</email>
            </au>
         </aug>
         <insg>
            <ins id="I1">
               <p>Department of Medical Biochemistry, University of Tampere, Medical School, Tampere, Finland</p>
            </ins>
            <ins id="I2">
               <p>Institute of Medical Technology, University of Tampere, Tampere, Finland</p>
            </ins>
            <ins id="I3">
               <p>Laboratory of Atherosclerosis Genetics, Department of Clinical Chemistry, Tampere University Hospital, Tampere, Finland</p>
            </ins>
            <ins id="I4">
               <p>Department of Internal Medicine, Tampere University Hospital, Tampere, Finland</p>
            </ins>
         </insg>
         <source>Lipids in Health and Disease</source>
         <issn>1476-511X</issn>
         <pubdate>2005</pubdate>
         <volume>4</volume>
         <issue>1</issue>
         <fpage>25</fpage>
         <url>http://www.lipidworld.com/content/4/1/25</url>
         <xrefbib>
            <pubidlist>
               <pubid idtype="pmpid">16242018</pubid>
               <pubid idtype="doi">10.1186/1476-511X-4-25</pubid>
            </pubidlist>
         </xrefbib>
      </bibl>
      <history>
         <rec>
            <date>
               <day>29</day>
               <month>9</month>
               <year>2005</year>
            </date>
         </rec>
         <acc>
            <date>
               <day>20</day>
               <month>10</month>
               <year>2005</year>
            </date>
         </acc>
         <pub>
            <date>
               <day>20</day>
               <month>10</month>
               <year>2005</year>
            </date>
         </pub>
      </history>
      <cpyrt>
         <year>2005</year>
         <collab>Solakivi et al; licensee BioMed Central Ltd.</collab>
         <note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note>
      </cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <sec>
               <st>
                  <p>Background</p>
               </st>
               <p>Oxidative modification of low-density lipoprotein (LDL) is a key event in the oxidation hypothesis of atherogenesis. Some <it>in vitro </it>experiments have previously suggested that high-density lipoprotein (HDL) co-incubated with LDL prevents Cu<sup>2+</sup>-induced oxidation of LDL, while some other studies have observed an opposite effect. To comprehensively clarify the role of HDL in this context, we isolated LDL, HDL<sub>2 </sub>and HDL<sub>3 </sub>from sera of 61 free-living individuals (33 women and 28 men).</p>
            </sec>
            <sec>
               <st>
                  <p>Results</p>
               </st>
               <p>When the isolated LDL was subjected to Cu<sup>2+</sup>-induced oxidation, both HDL<sub>2 </sub>and HDL<sub>3 </sub>particles increased the rate of appearance and the final concentration of conjugated dienes similarly in both genders. Oxidation rate was positively associated with polyunsaturated fatty acid content of the lipoproteins in that it was positively related to the content of linoleate and negatively related to oleate. More saturated fats thus protected the lipoproteins from damage.</p>
            </sec>
            <sec>
               <st>
                  <p>Conclusion</p>
               </st>
               <p>We conclude that <it>in vitro </it>HDL does not protect LDL from oxidation, but is in fact oxidized fastest of all lipoproteins due to its fatty acid composition, which is oxidation promoting.</p>
            </sec>
         </sec>
      </abs>
   </fm>
   <bdy>
      <sec>
         <st>
            <p>Background</p>
         </st>
         <p>Epidemiological studies show an inverse correlation between high-density lipoprotein (HDL) concentration and the risk of developing coronary artery disease <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>. According to a widely accepted hypothesis, HDL or its subtractions play an important role in recruiting and transporting cholesterol from peripheral tissues to the liver for excretion, a series of events known as reverse cholesterol transport <abbrgrp><abbr bid="B2">2</abbr></abbrgrp>. Other properties of HDL link its antiatherogenic functions to its antioxidative effects. Some studies have shown that co incubation of LDL with HDL in the presence of divalent copper prevents the oxidative modification of LDL <abbrgrp><abbr bid="B3">3</abbr></abbrgrp>. In some reports this finding could not be confirmed, and in fact it has been demonstrated that <it>in vitro </it>HDL is oxidized faster than other lipoproteins <abbrgrp><abbr bid="B4">4</abbr></abbrgrp>. When HDL is oxidatively modified, it alters to a form that causes macrophages to accumulate cholesterol. <abbrgrp><abbr bid="B5">5</abbr></abbrgrp>. It has been suggested that systemic inflammation gives rise to prooxidant and proinflammatory HDL particles <abbrgrp><abbr bid="B6">6</abbr></abbrgrp>. Oxidatively modified HDL is found in atheromatous plaques from human aorta <abbrgrp><abbr bid="B7">7</abbr></abbrgrp>. Oxidatively modified HDL is no longer capable of removing cholesterol from cells, and it enhances LDL oxidation <abbrgrp><abbr bid="B8">8</abbr></abbrgrp>.</p>
         <p>The contradictory findings on the role of HDL on LDL oxidation in vitro may be due to rather small study populations, and the reported heterogeneity of oxidation kinetics between lipoprotein preparations <it>in vitro </it><abbrgrp><abbr bid="B9">9</abbr></abbrgrp> which might be due to individual intrinsic properties of the lipoproteins. In the present paper we report the results of a study of the effect of HDL subtractions and gender on <it>ex vivo </it>oxidation of LDL from a population of 61 healthy free-living human subjects.</p>
      </sec>
      <sec>
         <st>
            <p>Results</p>
         </st>
         <p>Background characteristics of the men and women participating in the study are shown in Table <tblr tid="T1">1</tblr>. Compared with women, men had higher body mass indices, serum total cholesterol as well as LDL and apoB concentrations. Men had smaller LDL size and smaller concentrations of serum HDL and apoA-I than women.</p>
         <tbl id="T1">
            <title>
               <p>Table 1</p>
            </title>
            <caption>
               <p>Characteristics of the study subjects.</p>
            </caption>
            <tblbdy cols="4">
               <r>
                  <c>
                     <p/>
                  </c>
                  <c ca="center">
                     <p>Women</p>
                  </c>
                  <c ca="center">
                     <p>Men</p>
                  </c>
                  <c ca="center">
                     <p>All</p>
                  </c>
               </r>
               <r>
                  <c cspan="4">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>N</p>
                  </c>
                  <c ca="center">
                     <p>32</p>
                  </c>
                  <c ca="center">
                     <p>27</p>
                  </c>
                  <c ca="center">
                     <p>59</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Age (years)</p>
                  </c>
                  <c ca="center">
                     <p>39.3 &#177; 10.5</p>
                  </c>
                  <c ca="center">
                     <p>39.3 &#177; 11.0</p>
                  </c>
                  <c ca="center">
                     <p>39.3 &#177; 10.6</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Body mass index (kg/m<sup>2</sup>)</p>
                  </c>
                  <c ca="center">
                     <p>23.2 &#177; 3.1</p>
                  </c>
                  <c ca="center">
                     <p>25.8 &#177; 3.6**</p>
                  </c>
                  <c ca="center">
                     <p>24.4 &#177; 3.6</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Total cholesterol (mmol/l)</p>
                  </c>
                  <c ca="center">
                     <p>5.23 &#177; 0.87</p>
                  </c>
                  <c ca="center">
                     <p>5.76 &#177; 1.02*</p>
                  </c>
                  <c ca="center">
                     <p>5.47 &#177; 0.97</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Triacylglycerol (mmol/l)</p>
                  </c>
                  <c ca="center">
                     <p>0.96 &#177; 0.41</p>
                  </c>
                  <c ca="center">
                     <p>1.81 &#177; 1.27***</p>
                  </c>
                  <c ca="center">
                     <p>1.35 &#177; 0.71</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>HDL cholesterol (mmol/l)</p>
                  </c>
                  <c ca="center">
                     <p>1.88 &#177; 0.32</p>
                  </c>
                  <c ca="center">
                     <p>1.38 &#177; 0.23***</p>
                  </c>
                  <c ca="center">
                     <p>1.65 &#177; 0.38</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>LDL cholesterol (mmol/l)</p>
                  </c>
                  <c ca="center">
                     <p>2.91 &#177; 0.84</p>
                  </c>
                  <c ca="center">
                     <p>3.63 &#177; 0.92**</p>
                  </c>
                  <c ca="center">
                     <p>3.21 &#177; 0.96</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>ApoA-I (g/l)</p>
                  </c>
                  <c ca="center">
                     <p>1.70 &#177; 0.20</p>
                  </c>
                  <c ca="center">
                     <p>1.46 &#177; 0.13***</p>
                  </c>
                  <c ca="center">
                     <p>1.59 &#177; 0.21</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>ApoB (g/l)</p>
                  </c>
                  <c ca="center">
                     <p>0.81 &#177; 0.20</p>
                  </c>
                  <c ca="center">
                     <p>1.00 &#177; 0.22**</p>
                  </c>
                  <c ca="center">
                     <p>0.90 &#177; 0.23</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Lp(a) (U/l)</p>
                  </c>
                  <c ca="center">
                     <p>266 &#177; 226</p>
                  </c>
                  <c ca="center">
                     <p>165 &#177; 201</p>
                  </c>
                  <c ca="center">
                     <p>220 &#177; 219</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>fB-Glucose (mmol/l)<sup>a</sup></p>
                  </c>
                  <c ca="center">
                     <p>4.4 &#177; 0.4</p>
                  </c>
                  <c ca="center">
                     <p>4.6 &#177; 0.6</p>
                  </c>
                  <c ca="center">
                     <p>4.5 &#177; 0.5</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>LDL diameter (nm)</p>
                  </c>
                  <c ca="center">
                     <p>26.94 &#177; 0.45</p>
                  </c>
                  <c ca="center">
                     <p>26.40 &#177; 0.55***</p>
                  </c>
                  <c ca="center">
                     <p>26.70 &#177; 0.51</p>
                  </c>
               </r>
            </tblbdy>
            <tblfn>
               <p>Values are mean &#177; SD. <sup>a </sup>fB, fasting blood, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001 compared to women by Mann-Whitney U-test.</p>
            </tblfn>
         </tbl>
         <p>The fatty acid compositions of ultracentrifugally isolated LDL, HDL<sub>2 </sub>and HDL<sub>3 </sub>fractions were analyzed by gas liquid chromatography (Table <tblr tid="T2">2</tblr>). There were no gender differences in the total amounts of saturated, monounsaturated and polyunsaturated fatty acids of LDL, HDL<sub>2 </sub>and HDL<sub>3</sub>. The calculated peroxidizability indices were also similar in men and women. In both genders this index increased significantly from LDL to HDL<sub>2 </sub>to HDL<sub>3 </sub>(p &lt; 0.001, Wilcoxon's matched pairs test).</p>
         <tbl id="T2">
            <title>
               <p>Table 2</p>
            </title>
            <caption>
               <p>Percentage composition of fatty acids of LDL, HDL<sub>2 </sub>and HDL<sub>3 </sub>in 59 healthy subjects.</p>
            </caption>
            <tblbdy cols="7">
               <r>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c ca="left">
                     <p>Women</p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c ca="left">
                     <p>Men</p>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c cspan="7">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Fatty acid</p>
                  </c>
                  <c ca="left">
                     <p>LDL</p>
                  </c>
                  <c ca="left">
                     <p>HDL<sub>2</sub></p>
                  </c>
                  <c ca="left">
                     <p>HDL<sub>3</sub></p>
                  </c>
                  <c ca="left">
                     <p>LDL</p>
                  </c>
                  <c ca="left">
                     <p>HDL<sub>2</sub></p>
                  </c>
                  <c ca="left">
                     <p>HDL<sub>3</sub></p>
                  </c>
               </r>
               <r>
                  <c cspan="7">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>14:0</p>
                  </c>
                  <c ca="left">
                     <p>0.80 &#177; 0.22</p>
                  </c>
                  <c ca="left">
                     <p>0.67 &#177; 0.19</p>
                  </c>
                  <c ca="left">
                     <p>0.61 &#177; 0.17</p>
                  </c>
                  <c ca="left">
                     <p>0.97 &#177; 0.29*</p>
                  </c>
                  <c ca="left">
                     <p>0.94 &#177; 1.41***</p>
                  </c>
                  <c ca="left">
                     <p>0.76 &#177; 0.26*</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>16:0</p>
                  </c>
                  <c ca="left">
                     <p>19.50 &#177; 1.27</p>
                  </c>
                  <c ca="left">
                     <p>22.68 &#177; 1.41</p>
                  </c>
                  <c ca="left">
                     <p>22.45 &#177; 1.51</p>
                  </c>
                  <c ca="left">
                     <p>19.39 &#177; 1.23</p>
                  </c>
                  <c ca="left">
                     <p>22.79 &#177; 1.30</p>
                  </c>
                  <c ca="left">
                     <p>22.25 &#177; 1.10</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>16:1(n-7)</p>
                  </c>
                  <c ca="left">
                     <p>2.28 &#177; 0.64</p>
                  </c>
                  <c ca="left">
                     <p>1.72 &#177; 0.51</p>
                  </c>
                  <c ca="left">
                     <p>1.69 &#177; 0.51</p>
                  </c>
                  <c ca="left">
                     <p>2.22 &#177; 0.79</p>
                  </c>
                  <c ca="left">
                     <p>1.82 &#177; 0.71</p>
                  </c>
                  <c ca="left">
                     <p>1.87 &#177; 1.21</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>18:0</p>
                  </c>
                  <c ca="left">
                     <p>5.44 &#177; 0.58</p>
                  </c>
                  <c ca="left">
                     <p>8.18 &#177; 0.91</p>
                  </c>
                  <c ca="left">
                     <p>8.24 &#177; 0.90</p>
                  </c>
                  <c ca="left">
                     <p>5.71 &#177; 0.35</p>
                  </c>
                  <c ca="left">
                     <p>8.41 &#177; 0.67</p>
                  </c>
                  <c ca="left">
                     <p>8.71 &#177; 0.60</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>18:1T</p>
                  </c>
                  <c ca="left">
                     <p>0.35 &#177; 0.11</p>
                  </c>
                  <c ca="left">
                     <p>0.38 &#177; 0.12</p>
                  </c>
                  <c ca="left">
                     <p>0.36 &#177; 0.12</p>
                  </c>
                  <c ca="left">
                     <p>0.38 &#177; 0.15</p>
                  </c>
                  <c ca="left">
                     <p>0.45 &#177; 0.19</p>
                  </c>
                  <c ca="left">
                     <p>0.42 &#177; 0.16</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>18:1(n-9)</p>
                  </c>
                  <c ca="left">
                     <p>21.44 &#177; 1.63</p>
                  </c>
                  <c ca="left">
                     <p>17.79 &#177; 1.21</p>
                  </c>
                  <c ca="left">
                     <p>16.91 &#177; 1.02</p>
                  </c>
                  <c ca="left">
                     <p>21.12 &#177; 2.37</p>
                  </c>
                  <c ca="left">
                     <p>19.62 &#177; 3.09</p>
                  </c>
                  <c ca="left">
                     <p>17.77 &#177; 2.29</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>18:2(n-6)</p>
                  </c>
                  <c ca="left">
                     <p>34.92 &#177; 2.88</p>
                  </c>
                  <c ca="left">
                     <p>30.20 &#177; 2.93</p>
                  </c>
                  <c ca="left">
                     <p>30.71 &#177; 3.00</p>
                  </c>
                  <c ca="left">
                     <p>34.92 &#177; 4.16</p>
                  </c>
                  <c ca="left">
                     <p>28.38 &#177; 3.90</p>
                  </c>
                  <c ca="left">
                     <p>29.41 &#177; 3.72</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>18:3(n-3)</p>
                  </c>
                  <c ca="left">
                     <p>0.87 &#177; 0.22</p>
                  </c>
                  <c ca="left">
                     <p>0.67 &#177; 0.18</p>
                  </c>
                  <c ca="left">
                     <p>0.65 &#177; 0.18</p>
                  </c>
                  <c ca="left">
                     <p>0.87 &#177; 0.20</p>
                  </c>
                  <c ca="left">
                     <p>0.77 &#177; 0.23</p>
                  </c>
                  <c ca="left">
                     <p>0.69 &#177; 0.18</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>18:3(n-6)</p>
                  </c>
                  <c ca="left">
                     <p>0.43 &#177; 0.14</p>
                  </c>
                  <c ca="left">
                     <p>0.28 &#177; 0.09</p>
                  </c>
                  <c ca="left">
                     <p>0.28 &#177; 0.01</p>
                  </c>
                  <c ca="left">
                     <p>0.53 &#177; 0.26</p>
                  </c>
                  <c ca="left">
                     <p>0.34 &#177; 0.20</p>
                  </c>
                  <c ca="left">
                     <p>0.35 &#177; 0.20</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>20:0</p>
                  </c>
                  <c ca="left">
                     <p>0.31 &#177; 0.04</p>
                  </c>
                  <c ca="left">
                     <p>0.26 &#177; 0.03</p>
                  </c>
                  <c ca="left">
                     <p>0.22 &#177; 0.03</p>
                  </c>
                  <c ca="left">
                     <p>0.26 &#177; 0.04***</p>
                  </c>
                  <c ca="left">
                     <p>0.23 &#177; 0.03***</p>
                  </c>
                  <c ca="left">
                     <p>0.19 &#177; 0.02**</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>20:3(n-6)</p>
                  </c>
                  <c ca="left">
                     <p>1.22 &#177; 0.29</p>
                  </c>
                  <c ca="left">
                     <p>1.85 &#177; 0.44</p>
                  </c>
                  <c ca="left">
                     <p>1.97 &#177; 0.49</p>
                  </c>
                  <c ca="left">
                     <p>1.34 &#177; 0.26</p>
                  </c>
                  <c ca="left">
                     <p>1.86 &#177; 0.39</p>
                  </c>
                  <c ca="left">
                     <p>2.09 &#177; 0.40</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>20:4(n-6)</p>
                  </c>
                  <c ca="left">
                     <p>5.40 &#177; 0.91</p>
                  </c>
                  <c ca="left">
                     <p>7.08 &#177; 1.04</p>
                  </c>
                  <c ca="left">
                     <p>7.70 &#177; 1.20</p>
                  </c>
                  <c ca="left">
                     <p>5.53 &#177; 1.14</p>
                  </c>
                  <c ca="left">
                     <p>6.67 &#177; 1.42</p>
                  </c>
                  <c ca="left">
                     <p>7.64 &#177; 1.49</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>20:5(n-3)</p>
                  </c>
                  <c ca="left">
                     <p>1.12 &#177; 0.59</p>
                  </c>
                  <c ca="left">
                     <p>1.28 &#177; 0.67</p>
                  </c>
                  <c ca="left">
                     <p>1.38 &#177; 0.75</p>
                  </c>
                  <c ca="left">
                     <p>1.26 &#177; 0.59</p>
                  </c>
                  <c ca="left">
                     <p>1.33 &#177; 0.55</p>
                  </c>
                  <c ca="left">
                     <p>1.50 &#177; 0.59</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>22:0</p>
                  </c>
                  <c ca="left">
                     <p>0.91 &#177; 0.10</p>
                  </c>
                  <c ca="left">
                     <p>0.75 &#177; 0.13</p>
                  </c>
                  <c ca="left">
                     <p>0.63 &#177; 0.14</p>
                  </c>
                  <c ca="left">
                     <p>0.86 &#177; 0.11</p>
                  </c>
                  <c ca="left">
                     <p>0.60 &#177; 0.12</p>
                  </c>
                  <c ca="left">
                     <p>0.55 &#177; 0.13</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>22:5(n-3)</p>
                  </c>
                  <c ca="left">
                     <p>0.40 &#177; 0.11</p>
                  </c>
                  <c ca="left">
                     <p>0.65 &#177; 0.16</p>
                  </c>
                  <c ca="left">
                     <p>0.68 &#177; 0.16</p>
                  </c>
                  <c ca="left">
                     <p>0.47 &#177; 0.07**</p>
                  </c>
                  <c ca="left">
                     <p>0.74 &#177; 0.12*</p>
                  </c>
                  <c ca="left">
                     <p>0.82 &#177; 0.11**</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>22:6(n-3)</p>
                  </c>
                  <c ca="left">
                     <p>2.18 &#177; 0.50</p>
                  </c>
                  <c ca="left">
                     <p>3.46 &#177; 0.73</p>
                  </c>
                  <c ca="left">
                     <p>3.70 &#177; 0.79</p>
                  </c>
                  <c ca="left">
                     <p>1.96 &#177; 0.53</p>
                  </c>
                  <c ca="left">
                     <p>3.25 &#177; 0.86</p>
                  </c>
                  <c ca="left">
                     <p>3.37 &#177; 0.88</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>24:0</p>
                  </c>
                  <c ca="left">
                     <p>0.84 &#177; 0.07</p>
                  </c>
                  <c ca="left">
                     <p>0.65 &#177; 0.09</p>
                  </c>
                  <c ca="left">
                     <p>0.56 &#177; 0.08</p>
                  </c>
                  <c ca="left">
                     <p>0.83 &#177; 0.14</p>
                  </c>
                  <c ca="left">
                     <p>0.63 &#177; 0.13</p>
                  </c>
                  <c ca="left">
                     <p>0.56 &#177; 0.12</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>24:1(n-9)</p>
                  </c>
                  <c ca="left">
                     <p>1.59 &#177; 0.21</p>
                  </c>
                  <c ca="left">
                     <p>1.43 &#177; 0.23</p>
                  </c>
                  <c ca="left">
                     <p>1.23 &#177; 0.21</p>
                  </c>
                  <c ca="left">
                     <p>1.39 &#177; 0.28**</p>
                  </c>
                  <c ca="left">
                     <p>1.17 &#177; 0.24**</p>
                  </c>
                  <c ca="left">
                     <p>1.04 &#177; 0.19*</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>&#931;SAFA</p>
                  </c>
                  <c ca="left">
                     <p>27.82 &#177; 1.21</p>
                  </c>
                  <c ca="left">
                     <p>33.21 &#177; 1.16</p>
                  </c>
                  <c ca="left">
                     <p>32.77 &#177; 1.23</p>
                  </c>
                  <c ca="left">
                     <p>27.88 &#177; 1.18</p>
                  </c>
                  <c ca="left">
                     <p>33.54 &#177; 1.50</p>
                  </c>
                  <c ca="left">
                     <p>32.94 &#177; 1.12</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>&#931;MUFA</p>
                  </c>
                  <c ca="left">
                     <p>25.33 &#177; 2.03</p>
                  </c>
                  <c ca="left">
                     <p>20.98 &#177; 1.54</p>
                  </c>
                  <c ca="left">
                     <p>19.86 &#177; 1.34</p>
                  </c>
                  <c ca="left">
                     <p>24.48 &#177; 2.67</p>
                  </c>
                  <c ca="left">
                     <p>22.28 &#177; 3.16</p>
                  </c>
                  <c ca="left">
                     <p>20.51 &#177; 2.63</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>&#931;PUFA</p>
                  </c>
                  <c ca="left">
                     <p>46.51 &#177; 2.55</p>
                  </c>
                  <c ca="left">
                     <p>45.44 &#177; 2.00</p>
                  </c>
                  <c ca="left">
                     <p>47.02 &#177; 1.82</p>
                  </c>
                  <c ca="left">
                     <p>47.26 &#177; 3.66</p>
                  </c>
                  <c ca="left">
                     <p>43.75 &#177; 4.13</p>
                  </c>
                  <c ca="left">
                     <p>46.14 &#177; 3.48</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>PI</p>
                  </c>
                  <c ca="left">
                     <p>83.2 &#177; 7.4</p>
                  </c>
                  <c ca="left">
                     <p>96.1 &#177; 8.3</p>
                  </c>
                  <c ca="left">
                     <p>101.2 &#177; 9.3</p>
                  </c>
                  <c ca="left">
                     <p>83.7 &#177; 9.2</p>
                  </c>
                  <c ca="left">
                     <p>92.2 &#177; 12.0</p>
                  </c>
                  <c ca="left">
                     <p>99.2 &#177; 10.9</p>
                  </c>
               </r>
            </tblbdy>
            <tblfn>
               <p>Values are mean &#177; SD. * p &lt; 0.05. ** p &lt; 0.01, *** p &lt; 0.001 compared to women. &#931;SAFA, sum of percentages of saturated fatty acids, &#931;MUFA, sum of percentages of monounsaturated fatty acids, &#931;PUFA, sum of percentages of polyunsaturated fatty acids, PI, peroxidizability index (see methods).</p>
            </tblfn>
         </tbl>
         <p>The oxidation of LDL of all subjects gave rise to typical conjugated diene vs. time -curves, where the different phases of hydro peroxide formation were clearly discernible. Co incubations of LDL with either HDL<sub>2 </sub>or HDL<sub>3 </sub>produced biphasic profiles with faster oxidation in the beginning, followed by a slower rate and finally a faster propagation phase. The profiles looked similar in all participants.</p>
         <p>Co incubation of LDL with HDL<sub>2 </sub>or HDL<sub>3 </sub>decreased the mean lag time of diene formation in both women and men (Table <tblr tid="T3">3</tblr>). Likewise, the mean propagation rate and the maximum diene concentration increased significantly in the presence of HDL. These oxidation parameters did not differ between women and men.</p>
         <tbl id="T3">
            <title>
               <p>Table 3</p>
            </title>
            <caption>
               <p>Kinetic parameters of LDL, LDL + HDL<sub>2 </sub>and LDL + HDL<sub>3 </sub>oxidation in 59 healthy subjects.</p>
            </caption>
            <tblbdy cols="4">
               <r>
                  <c>
                     <p/>
                  </c>
                  <c ca="center">
                     <p>
                        <b>Women</b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>Men</b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>All</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c cspan="4">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>
                        <b>LDL</b>
                     </p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Lag time (min)</p>
                  </c>
                  <c ca="center">
                     <p>60.9 &#177; 7.9</p>
                  </c>
                  <c ca="center">
                     <p>59.3 &#177; 6.9</p>
                  </c>
                  <c ca="center">
                     <p>60.2 &#177; 7.4</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Rate (&#956;mol/l/min)<sup>a</sup></p>
                  </c>
                  <c ca="center">
                     <p>0.509 &#177; 0.067</p>
                  </c>
                  <c ca="center">
                     <p>0.502 &#177; 0.067</p>
                  </c>
                  <c ca="center">
                     <p>0.506 &#177; 0.066</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Max (nmol/mg)<sup>b</sup></p>
                  </c>
                  <c ca="center">
                     <p>541 &#177; 41</p>
                  </c>
                  <c ca="center">
                     <p>537 &#177; 51</p>
                  </c>
                  <c ca="center">
                     <p>539 &#177; 45</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>
                        <b>LDL + HDL<sub>2</sub></b>
                     </p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Lag time (min)</p>
                  </c>
                  <c ca="center">
                     <p>56.0 &#177; 5.7***</p>
                  </c>
                  <c ca="center">
                     <p>56.0 &#177; 6.7***</p>
                  </c>
                  <c ca="center">
                     <p>56.0 &#177; 6.1***</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Rate (&#956;mol/l/min)<sup>a</sup></p>
                  </c>
                  <c ca="center">
                     <p>0.687 &#177; 0.062***</p>
                  </c>
                  <c ca="center">
                     <p>0.654 &#177; 0.084***</p>
                  </c>
                  <c ca="center">
                     <p>0.671 &#177; 0.073***</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Max (nmol/mg)<sup>b</sup></p>
                  </c>
                  <c ca="center">
                     <p>774 &#177; 40***</p>
                  </c>
                  <c ca="center">
                     <p>745 &#177; 71***</p>
                  </c>
                  <c ca="center">
                     <p>762 &#177; 56***</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>
                        <b>LDL + HDL<sub>3</sub></b>
                     </p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Lag time (min)</p>
                  </c>
                  <c ca="center">
                     <p>55.8 &#177; 5.4***</p>
                  </c>
                  <c ca="center">
                     <p>54.8 &#177; 5.4***</p>
                  </c>
                  <c ca="center">
                     <p>55.3 &#177; 5.4***</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Rate (&#956;mol/l/min)<sup>a</sup></p>
                  </c>
                  <c ca="center">
                     <p>0.616 &#177; 0.064***</p>
                  </c>
                  <c ca="center">
                     <p>0.607 &#177; 0.070***</p>
                  </c>
                  <c ca="center">
                     <p>0.612 &#177; 0.066***</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Max (nmol/mg)<sup>b</sup></p>
                  </c>
                  <c ca="center">
                     <p>687 &#177; 40***</p>
                  </c>
                  <c ca="center">
                     <p>674 &#177; 60***</p>
                  </c>
                  <c ca="center">
                     <p>681 &#177; 50***</p>
                  </c>
               </r>
            </tblbdy>
            <tblfn>
               <p>Values are mean &#177; SD. <sup>a </sup>Rate means maximal formation rate of conjugated dienes during oxidation. Calculation of the diene concentration is based on &#949; = 29500 of the conjugated dienes <sup>b </sup>Max is the maximal amount of dienes produced per mg of LDL protein. *** p &lt; 0.001 in comparison with LDL alone in Wilcoxon's matched pairs test.</p>
            </tblfn>
         </tbl>
         <p>Multiple forward stepwise regression analysis was performed to estimate the effect of lipids and factors related to lipoprotein metabolism on oxidation parameters. Predictors for the multivariate analysis were selected on the basis of initial correlation analyses using Spearman's correlation coefficients. The resulting models formed consistent patterns of predictors. The results of the models for the mixtures of LDL + HDL<sub>2 </sub>are shown in Table <tblr tid="T4">4</tblr>. The results were similar for mixtures of LDL and HDL<sub>3</sub>, and for LDL alone (not shown). In these incubations, an increase in lag time was related to fasting blood glucose concentration, and a decrease in lag time was related to the peroxidizability index. Oxidation rate was positively associated with PUFA content of the lipoproteins. Maximum concentration of dienes was positively related to the content of linoleate and to the ratio of LDL to apoB, and negatively related to oleate.</p>
         <tbl id="T4">
            <title>
               <p>Table 4</p>
            </title>
            <caption>
               <p>Multivariate regression models of factors predicting oxidation parameters in mixtures of LDL and HDL<sub>2</sub>.</p>
            </caption>
            <tblbdy cols="5">
               <r>
                  <c ca="left">
                     <p>Dependent variable</p>
                  </c>
                  <c ca="left">
                     <p>Independent variable</p>
                  </c>
                  <c ca="left">
                     <p>Standardized regression coefficient &#946;</p>
                  </c>
                  <c ca="left">
                     <p>p-Value</p>
                  </c>
                  <c ca="left">
                     <p>Total model</p>
                  </c>
               </r>
               <r>
                  <c cspan="5">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>LDL + HDL<sub>2</sub></p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Lag time (min)</p>
                  </c>
                  <c ca="left">
                     <p>fB-Glucose</p>
                  </c>
                  <c ca="left">
                     <p>0.410</p>
                  </c>
                  <c ca="left">
                     <p>0.00037</p>
                  </c>
                  <c ca="left">
                     <p>R<sup>2 </sup>= 0.296</p>
                  </c>
               </r>
               <r>
                  <c>
                     <p/>
                  </c>
                  <c ca="left">
                     <p>PI of HDL<sub>2</sub></p>
                  </c>
                  <c ca="left">
                     <p>-0.351</p>
                  </c>
                  <c ca="left">
                     <p>0.00276</p>
                  </c>
                  <c ca="left">
                     <p>p &lt; 0.00005</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>LDL + HDL<sub>2</sub></p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Oxidation rate (&#956;mol/ml/min)</p>
                  </c>
                  <c ca="left">
                     <p>&#931;PUFA of LDL</p>
                  </c>
                  <c ca="left">
                     <p>0.424</p>
                  </c>
                  <c ca="left">
                     <p>0.0325</p>
                  </c>
                  <c ca="left">
                     <p>R<sup>2 </sup>= 0.57</p>
                  </c>
               </r>
               <r>
                  <c>
                     <p/>
                  </c>
                  <c ca="left">
                     <p>&#931;PUFA of HDL<sub>2</sub></p>
                  </c>
                  <c ca="left">
                     <p>0.352</p>
                  </c>
                  <c ca="left">
                     <p>0.0129</p>
                  </c>
                  <c ca="left">
                     <p>p &lt; 0.00000</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>LDL + HDL<sub>2</sub></p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Maximum diene</p>
                  </c>
                  <c ca="left">
                     <p>HDL<sub>2 </sub>18:2n-6</p>
                  </c>
                  <c ca="left">
                     <p>0.429</p>
                  </c>
                  <c ca="left">
                     <p>0.00015</p>
                  </c>
                  <c ca="left">
                     <p>R<sup>2 </sup>= 0.55</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>concentration (nmol/mg)</p>
                  </c>
                  <c ca="left">
                     <p>LDL 18:1n-9</p>
                  </c>
                  <c ca="left">
                     <p>-0.292</p>
                  </c>
                  <c ca="left">
                     <p>0.0071</p>
                  </c>
                  <c ca="left">
                     <p>p &lt; 0.00000</p>
                  </c>
               </r>
               <r>
                  <c>
                     <p/>
                  </c>
                  <c ca="left">
                     <p>LDL/apoB</p>
                  </c>
                  <c ca="left">
                     <p>0.287</p>
                  </c>
                  <c ca="left">
                     <p>0.0033</p>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
            </tblbdy>
            <tblfn>
               <p>Abbreviations: PI, peroxidizability index; &#931;PUFA, sum of percentages of polyunsaturated fatty acids; LDL/apoB, the ratio of LDL cholesterol to apoB concentration. Stepwise forward regression analysis</p>
            </tblfn>
         </tbl>
         <p>Although the mean lag time was shorter in the presence of HDL<sub>2 </sub>or HDL<sub>3</sub>, there were nine subjects who had longer lag time when HDL<sub>2 </sub>was co incubated with LDL. We analyzed, whether there were any differences between these nine subjects and the rest of the study group that could explain the increased lag time. These nine subjects had a significantly smaller peroxidizability index of HDL<sub>2 </sub>(88.0 &#177; 12.3 vs. 95.4 &#177; 9.5, p &lt; 0.05) than the rest of the group. Their LDL lag time was slightly shorter (55.7 &#177; 4.7 vs. 61.0 &#177; 7.7 &#956;mol/l/min, p &lt; 0.05) and their fasting blood glucose concentration was lower (4.1 &#177; 0.5 vs. 4.5 &#177; 0.5 mmol/l, p &lt; 0.05).</p>
      </sec>
      <sec>
         <st>
            <p>Discussion</p>
         </st>
         <p>We found that co incubation of HDL<sub>2 </sub>or HDL<sub>3 </sub>with LDL in the presence of Cu<sup>2+ </sup>resulted in shortening of the mean lag time and acceleration of the oxidation rate in comparison with that of incubation of LDL alone. If lag time or propagation rate are thought of as indices of oxidation resistance, this outcome contradicts the role of HDL as an antioxidant. Our findings are in line with the studies by Bowry et al. <abbrgrp><abbr bid="B4">4</abbr></abbrgrp>, Suzukawa et al. <abbrgrp><abbr bid="B10">10</abbr></abbrgrp>, Schnitzer et al. <abbrgrp><abbr bid="B11">11</abbr></abbrgrp>, Ohmura et al. <abbrgrp><abbr bid="B12">12</abbr></abbrgrp> and Raveh et al. <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>, who have come to the conclusion that HDL is more easily oxidized than LDL. In other studies, HDL has appeared to be less prone to oxidation and even to protect LDL against copper-induced oxidation <abbrgrp><abbr bid="B3">3</abbr><abbr bid="B13">13</abbr><abbr bid="B14">14</abbr><abbr bid="B15">15</abbr></abbrgrp>. In the study of Kontush et al. <abbrgrp><abbr bid="B16">16</abbr></abbrgrp> all subtractions of HDL exhibited limited capacities to protect LDL at early stages of oxidation. At later phases, small dense HDL particles were the most potent inhibitors of LDL oxidation under mildly oxidative conditions. If strongly oxidative conditions were used [5 &#956;mol/l Cu<sup>2+</sup>), none of the HDL subtractions offered any protection to LDL. The results were fairly similar whether the subspecies were isolated from serum or EDTA-plasma despite their widely differing paraoxonase activities suggesting that paraoxonase may have had a smaller role in the inhibition. In our study the HDL<sub>2 </sub>subtraction of the majority of the subjects had properties that enhanced the onset of propagation phase. However, in 9 participants this phase was delayed in the presence of a moderate concentration of Cu<sup>2+ </sup>emphasizing that the individual variation of intrinsic characteristics of lipoproteins can not be overlooked.</p>
         <p>In all, kinetic analyses by different investigators of the effects of HDL on copper-induced peroxidation of LDL are difficult to compare. (a) Firstly, the concentrations of LDL and HDL have been inconsistent and their expression has been variably based on protein, total lipid, total mass, phospholipid or cholesterol concentration, molar concentrations or particle numbers. The investigations into the kinetics of lipoprotein oxidation of Raveh et al. <abbrgrp><abbr bid="B9">9</abbr></abbrgrp> and Ziouzenkova et al. <abbrgrp><abbr bid="B17">17</abbr></abbrgrp> showed that the lag time and the propagation rate are dependent on LDL concentration. (b) Secondly, copper concentrations have also differed between the experiments. This has profound implications, since it has been shown in kinetic experiments that the lag time and the oxidation rate are correlated with the copper concentration until a saturating concentration is reached <abbrgrp><abbr bid="B9">9</abbr><abbr bid="B16">16</abbr><abbr bid="B18">18</abbr></abbrgrp>. However, until more data are available, there is reason to think that the number of copper binding sites of lipoproteins is not constant but varies <abbrgrp><abbr bid="B18">18</abbr></abbrgrp>. (c) Thirdly, the ratio of copper to lipoprotein has varied between studies. It has been found that the kinetic profile of LDL oxidation changes in response to copper concentration and that the familiar monophasic, auto accelerating profile is only obtained when the copper concentration is relatively high <abbrgrp><abbr bid="B17">17</abbr></abbrgrp>. All of the compound kinetic curves in our study had a biphasic shape. The first phase of rapid oxidation in such a profile, whether observed with HDL or LDL, has been interpreted to occur via a tocopherol-mediated mechanism <abbrgrp><abbr bid="B9">9</abbr></abbrgrp> where vitamin E acts as a prooxidant. Because the rate of oxidation is regulated by the ratio of bound copper/lipoprotein as outlined above, the addition of HDL to LDL should, theoretically, have lengthened the lag time and oxidation rate instead of shortening it, since HDL bound part of the copper. Obviously, many factors are involved in determining the outcome of this kind of experiment. Furthermore, it is apparent that ex vivo oxidization experiments with lipoproteins require standardization.</p>
         <p>Earlier studies have shown that there are several intrinsic properties of lipoproteins that can affect their susceptibility to oxidation. Lipoprotein antioxidant content <abbrgrp><abbr bid="B19">19</abbr><abbr bid="B20">20</abbr></abbrgrp>, fatty acid composition <abbrgrp><abbr bid="B21">21</abbr><abbr bid="B22">22</abbr></abbrgrp>, presence of various enzymes <abbrgrp><abbr bid="B13">13</abbr></abbrgrp> and LDL and HDL size <abbrgrp><abbr bid="B16">16</abbr><abbr bid="B23">23</abbr></abbrgrp> are among the factors that have been shown to have an impact on oxidation parameters, the former especially in supplementation studies. Also, long-term habitual diets with different fatty acid contents have been shown to influence LDL oxidation susceptibility <abbrgrp><abbr bid="B24">24</abbr></abbrgrp>. We analyzed the fatty acid compositions of LDL, HDL<sub>2 </sub>and HDL<sub>3 </sub>particles. Fatty acids are highly intercorrelated, and therefore their use in multivariate analysis as predictors is problematic. We tried to overcome this difficulty by uniting the information in the fatty acid profiles into a single term &#8211; the peroxidizability index &#8211; which describes the combined reactivity of fatty acids towards reactive oxygen species <abbrgrp><abbr bid="B25">25</abbr></abbrgrp>. The results (Table <tblr tid="T4">4</tblr>) show that this index was significantly larger in both HDL<sub>2 </sub>and HDL<sub>3 </sub>than in LDL in men as well as in women, suggesting that HDL particles might be more susceptible to oxidation than LDL. This opinion was further strengthened by the findings that in multiple regression analysis the peroxidizability index of LDL, HDL<sub>2 </sub>or HDL<sub>3 </sub>in combination with fasting blood glucose concentration were the best predictors of lag time when LDL was oxidized alone or in mixtures with HDL<sub>2 </sub>or HDL<sub>3</sub>, respectively. Furthermore, our finding of a smaller peroxidizability index in those subjects whose lag time lengthened in the presence of HDL2 is in line with the suggestion that the rate of oxidation is governed by the ratio of bound copper to oxidizable lipids <abbrgrp><abbr bid="B26">26</abbr></abbrgrp>. The results of our experiments also confirm the findings of earlier studies and suggest that the proportions of polyunsaturated fatty acids as well as those of linoleic acid and oleic acid <abbrgrp><abbr bid="B27">27</abbr><abbr bid="B28">28</abbr><abbr bid="B29">29</abbr></abbrgrp> are related to the oxidation rate and the amount of dienes formed during in vitro oxidation. We have no ready explanation as to why the glucose concentration had a positive correlation with lag time of oxidation especially since all our subjects were normoglycemic. It has been shown that LDL isolated from patients with poorly controlled type I diabetes is more susceptible to copper-induced oxidation than LDL from control subjects <abbrgrp><abbr bid="B30">30</abbr></abbrgrp>. Consequently, it has been suggested that glycated LDL might be particularly prone to oxidation. Nonetheless, our result is more in line with the results obtained in well-controlled type I diabetics, where glycated LDL gave a longer lag time than that of nonglycated LDL <abbrgrp><abbr bid="B31">31</abbr></abbrgrp>.</p>
      </sec>
      <sec>
         <st>
            <p>Conclusion</p>
         </st>
         <p>In conclusion, we report that the lag time, the maximum propagation rate for the formation of dienes and the amount of dienes formed by Cu<sup>2+ </sup>-induced oxidation of LDL alone or in the presence of HDL<sub>2 </sub>or HDL<sub>3 </sub>do not differ between healthy men and women despite significant differences in lipid concentrations. Our findings do not support the concept that co incubation of LDL with HDL in the presence of divalent copper prevents its oxidative modification. Rather, our findings support previous results that in vitro HDL is oxidized fastest of all lipoproteins <abbrgrp><abbr bid="B4">4</abbr></abbrgrp> partly because of its fatty acid composition, which is oxidation promoting.</p>
      </sec>
      <sec>
         <st>
            <p>Methods</p>
         </st>
         <sec>
            <st>
               <p>Subjects</p>
            </st>
            <p>61 healthy subjects from the personnel and medical students of the Department of Medical Sciences of Tampere University and Tampere University Hospital volunteered. The age range of the subjects was 20 to 58 years. 33 were women and 28 were men. All participants filled in a questionnaire, where emphasis was given to their health status (diseases and use of medication) in addition to health related behavior (smoking, use of alcohol and vitamins). Ten subjects were current smokers and two abstained from alcohol. Fasting blood glucose concentration was &#8804;5.7 mmol/l in all subjects. Nine women and two men reported the use of vitamins and 12 women used hormone preparations. The results of two of the participants were later removed from analysis because of reported diseases Thus, 59 subjects remained. All participants gave their written consent to the study. The study protocol was approved by the ethics committee of the Tampere University Hospital.</p>
         </sec>
         <sec>
            <st>
               <p>Blood Samples</p>
            </st>
            <p>Fasting (12 h) blood samples were taken into suitable tubes (Vacuette, Greiner) from the antecubital vein in a sitting position after a 15-min rest using minimal stasis. Samples for the isolation of lipoproteins and for LDL size determination were taken into pre-chilled EDTA tubes, which were immediately placed in ice. Plasma was separated after centrifugation (Heraeus, 2000 xg, +4&#176;C). EDTA plasmas were supplemented with sucrose (0.6 % w/v final concentration). This procedure has been shown to preserve LDL from oxidation for at least two months and the oxidation curve does not differ from that of a fresh sample <abbrgrp><abbr bid="B32">32</abbr></abbrgrp>. All samples were kept frozen at -70&#176;C until analyzed. Fasting blood glucose concentration was determined from capillary blood using Hemocue Glucose Analyzer (Hemocue, &#196;ngelholm Sweden).</p>
         </sec>
         <sec>
            <st>
               <p>Analysis of Lipids and Lipoproteins</p>
            </st>
            <p>Cholesterol, HDL cholesterol, triacylglycerol, apoA-I and apoB concentrations were measured with Cobas Integra 700 automatic analyzer (Roche Diagnostics, Basel, Switzerland) using reagents and calibrators as recommended by the manufacturer. LDL cholesterol was calculated according to Friedewald. Lp(a) concentrations were analyzed by radioimmunoassay (Pharmacia, Uppsala Sweden) according to the manufacturer's instructions.</p>
         </sec>
         <sec>
            <st>
               <p>Isolation of Lipoproteins</p>
            </st>
            <p>Lipoproteins were fractionated by isopycnic density gradient ultracentrifugation using a Beckman SW40 Ti rotor in a Beckman L60 centrifuge (36000 rpm, 40 hours, 10&#176;C). 2.0 ml of plasma was gently mixed with 4.0 ml of d 1.35 g/l NaCl-KBr solution in a polyallomer 14 &#215; 95 mm tube. The mixture was then successively over layered with 4.5 ml of a d 1.006 salt solution and 1.0 ml of distilled water. The gradients were fractionated as described <abbrgrp><abbr bid="B33">33</abbr></abbrgrp> and 0.4-ml fractions were collected. The fractions belonging to LDL, HDL<sub>2 </sub>and HDL<sub>3 </sub>were pooled on the basis of the absorbance curve. A part of the pooled fractions were immediately frozen to -70&#176;C and a part was used for the oxidation experiments.</p>
         </sec>
         <sec>
            <st>
               <p>Oxidation of Lipoproteins</p>
            </st>
            <p>The susceptibility of LDL and mixtures of LDL and HDL subtractions to in vitro copper-catalyzed oxidation was assessed by the technique described in <abbrgrp><abbr bid="B34">34</abbr></abbrgrp> as modified from Esterbauer et al. <abbrgrp><abbr bid="B35">35</abbr></abbrgrp>. LDL (50 &#956;g protein/ml &#8776; 0.1 &#956;M) was incubated either alone or mixed with autologous HDL<sub>2 </sub>(50 &#956;g protein/ml &#8776; 0.35 &#956;M) or HDL<sub>3 </sub>(50 &#956;g protein/ml &#8776; 0.53 &#956;M). The protein concentrations were determined using the method of Markwell et al. <abbrgrp><abbr bid="B36">36</abbr></abbrgrp>. Oxidation was started by adding 10 &#956;l of CuSO4 to a final concentration of 1.65 &#956;M Cu<sup>2+</sup>. The spectrophotometer was computer-operated (UVWinlab 2.1). This program also collected the absorbance data at 2-min intervals during the oxidation. Several characteristic indices were obtained from the resulting absorbance versus time curves <abbrgrp><abbr bid="B32">32</abbr></abbrgrp>. To control the in vitro oxidation procedure we prepared an LDL pool as described <abbrgrp><abbr bid="B37">37</abbr></abbrgrp> and stored it at -70&#176;C in 0.15-M NaCl/1 mM EDTA solution containing 0.6 % sucrose. One control LDL was analyzed in every oxidation run. The inter-assay coefficient of variation for lag time was 3.1 %. This LDL preparation was also used as a standard in gradient gel electrophoresis.</p>
         </sec>
         <sec>
            <st>
               <p>Electrophoretic Analysis of Lipoprotein Size</p>
            </st>
            <p>For the estimation of lipoprotein particle size in EDTA-plasma samples we used the nondenaturing gradient gel electrophoretic method of Krauss and Burke <abbrgrp><abbr bid="B38">38</abbr></abbrgrp>. However, the 2&#8211;16 % polyacrylamide gels were cast in-house according to the instructions given by Pharmacia (Uppsala, Sweden) as described <abbrgrp><abbr bid="B39">39</abbr></abbrgrp>. A control plasma sample (peak particle diameter 27.00 nm) stored at -70&#176;C was included in every gel. The inter-assay coefficient of variation during this study was 1.1 %.</p>
         </sec>
         <sec>
            <st>
               <p>Fatty Acid Composition of Lipoproteins</p>
            </st>
            <p>The fatty acid compositions of the ultracentrifugally isolated LDL, HDL<sub>2 </sub>and HDL<sub>3 </sub>fractions were analyzed by capillary gas-liquid chromatography. Lipids were extracted with chloroform/methanol, partitioned, and the chloroform phase was dried under N<sub>2 </sub><abbrgrp><abbr bid="B40">40</abbr></abbrgrp>. The lipids were then transesterified with H<sub>2</sub>SO<sub>4 </sub>in dry methanol at 85&#176;C for 2 h under N<sub>2</sub>. Following the addition of water, methyl esters of the fatty acids were extracted with petroleum ether and analyzed in a Shimadzu GC-14A gas chromatograph (Shimadzu Corporation, Kyoto, Japan) with a flame ionization detector using a Supelco SP 2560 capillary column (100 m, 0.25 mm I.D., 0.20 &#956;m film thickness). The carrier gas was helium. The column temperature was held at 180&#176;C for 15 min and thereafter programmed to increase at 3&#176;C/min until 230&#176;C and held at this temperature for 40 min. The individual fatty acids were identified with the aid of a standard mixture of methyl esters (Lipid standards 189-15 and 189-17, Sigma). The areas were measured with a Shimadzu C-R4A Chromatopac Integrator and the results expressed as percentages of the sum of all fatty acids from 14:0 to 24:1. As a control sample we used a pool of isolated HDL that was kept frozen at -70&#176;C. The inter-assay coefficients of variation for the percentages of different fatty acids ranged from 0.3 to 4.4 %. From fatty acid compositions, the following indices were calculated: saturated fatty acids (SAFA) = &#931;(%) of saturated fatty acids; monounsaturated fatty acids (MUFA) = &#931;(%) of monoenoic fatty acids; polyunsaturated fatty acids (PUFA) = &#931;(%) of polyunsaturated fatty acids; peroxidizability index (PI) = [(&#931; mol% monoenoic FAs &#215; 0.025) + (&#931; mol% dienoic FAs &#215; 1) + (&#931; mol% trienoic FAs &#215; 2) + (&#931; mol% tetraenoic FAs &#215; 4) + (&#931; mol% pentaenoic FAs &#215; 6) + (&#931; mol% hexaenoic FAs &#215; 8)] <abbrgrp><abbr bid="B25">25</abbr></abbrgrp>.</p>
         </sec>
         <sec>
            <st>
               <p>Statistical Analysis</p>
            </st>
            <p>Results are expressed as means &#177; standard deviation. Plasma triacylglycerol and Lp(a) concentrations were used as their logarithms but reported as their original results. Comparisons were conducted by analysis of variance or covariance and Mann-Whitney U-test. For pair wise comparisons we used Wilcoxon's matched pairs test. Univariate associations between variables were analyzed using Spearman's correlation coefficients. Predictors for the multivariate analysis were selected on the basis of the correlation analyses. Multivariate analysis was done using the stepwise forward linear regression technique. The Statistica for Windows (version 5.1) software package (Statsoft Inc., Oklahoma, USA) was used for the statistical analyses.</p>
         </sec>
      </sec>
      <sec>
         <st>
            <p>List of abbreviations</p>
         </st>
         <p>HDL, high density lipoprotein; LDL, low density lipoprotein; SAFA, saturated fatty acids; MUFA, monounsaturated fatty acids;, PUFA, polyunsaturated fatty acids; PI, peroxidizability index</p>
      </sec>
      <sec>
         <st>
            <p>Authors' contributions</p>
         </st>
         <p>TS and OJ conceived of the study, participated in its design, performed the statistical analysis and drafted the manuscript, NP and AS carried out the laboratory analyses, MS planned and analyzed the health questionnaire, TL, HJ and STN participated in the coordination of the study and helped to draft the manuscript. All authors read and approved the final manuscript.</p>
      </sec>
   </bdy>
   <bm>
      <ack>
         <sec>
            <st>
               <p>Acknowledgements</p>
            </st>
            <p>The authors thank Marita Koli, Marja Jousimies and Marjo Virkki for expert laboratory assistance. This study was supported by the Medical Research Fund of Tampere University Hospital (TS, OJ, TL, HJ, STN), The Finnish Foundation of Cardiovascular Research (TL) and the Finnish Association of Clinical Biochemists (TS).</p>
         </sec>
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