<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd">
<article article-type="Original Article" dtd-version="1.0" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">kjhp</journal-id>
<journal-title-group>
<journal-title>Korean Journal of Health Promotion</journal-title>
<abbrev-journal-title>Korean J Health Promot</abbrev-journal-title>
</journal-title-group>
<issn pub-type="ppub">2234-2141</issn>
<issn pub-type="epub">2093-5676</issn>
<publisher>
<publisher-name>The Korean Society of Health Promotion and Disease Prevention</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.15384/kjhp.2015.15.3.108</article-id>
<article-id pub-id-type="publisher-id">kjhp-15-108</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Equol Production and Increased Leukocyte Mitochondrial DNA in Postmenopausal Women</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en">
<surname>Ahn</surname><given-names>Juwon</given-names></name>
<xref ref-type="aff" rid="aff1-kjhp-15-108"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en">
<surname>Baek</surname><given-names>Seungha</given-names></name>
<xref ref-type="aff" rid="aff1-kjhp-15-108"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en">
<surname>Kim</surname><given-names>Kijeong</given-names></name>
<xref ref-type="aff" rid="aff2-kjhp-15-108"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en">
<surname>Bang</surname><given-names>Hyowon</given-names></name>
<xref ref-type="aff" rid="aff3-kjhp-15-108"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en">
<surname>Ko</surname><given-names>Jaehong</given-names></name>
<xref ref-type="aff" rid="aff3-kjhp-15-108"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en">
<surname>Kim</surname><given-names>Jung-Ha</given-names></name>
<xref ref-type="corresp" rid="c1-kjhp-15-108"/>
<xref ref-type="aff" rid="aff1-kjhp-15-108"><sup>1</sup></xref>
</contrib>
<aff id="aff1-kjhp-15-108" xml:lang="en"><label>1</label>Department of Family Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, <country>Korea</country></aff>
<aff id="aff2-kjhp-15-108" xml:lang="en"><label>2</label>Department of Microbiology, Chung-Ang University College of Medicine, Seoul, <country>Korea</country></aff>
<aff id="aff3-kjhp-15-108" xml:lang="en"><label>3</label>Department of Physiology, Chung-Ang University College of Medicine, Seoul, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-kjhp-15-108">Corresponding author&#xFF1A;<bold>Jung-Ha Kim, MD</bold> Department of Family Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul 06973, Korea Tel: +82-1800-1114, Fax: +82-6264-8272 E-mail: <email>girlpower219@cau.ac.kr</email></corresp>
</author-notes>
<pub-date pub-type="ppub"><month>12</month><year>2015</year></pub-date>
<pub-date pub-type="epub"><day>19</day><month>12</month><year>2015</year></pub-date>
<volume>15</volume><issue>3</issue>
<fpage>108</fpage><lpage>114</lpage>
<history>
<date date-type="received"><day>09</day><month>03</month><year>2015</year></date>
<date date-type="accepted"><day>11</day><month>07</month><year>2015</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2015 The Korean Society of Health Promotion and Disease Prevention</copyright-statement>
<copyright-year>2015</copyright-year>
<license><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0/</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license>
</permissions>
<abstract xml:lang="en">
<sec>
<title>Background</title>
<p>Equol, a metabolite of diadzein, is produced by some intestinal bacteria. Equol acts as an estrogen receptor agonist and has been reported to have several beneficial health effects. Leukocytes play an important role in the pathogenesis of autoimmune, metabolic, and cardiovascular diseases. Decreased leukocyte mitochondrial DNA (mtDNA) content, as an index of mitochondrial function, is associated with metabolic syndrome, bone mineral density, and aging. The possible association between equol production and leukocyte mitochondrial function has not been studied to date. Therefore, we investigated whether equol production is associated with leukocyte mtDNA copy number in postmenopausal women.</p>
</sec>
<sec>
<title>Methods</title>
<p>This observational cross-sectional study included 71 postmenopausal women. They completed a lifestyle questionnaire and medical history. In addition, a dietary assessment using a 24-hour recall method and food frequency questionnaire, anthropometric evaluation, and blood sampling were conducted. Serum equol concentration was measured in the fasting state. Leukocyte mtDNA copy number was measured by real-time polymerase chain reaction.</p>
</sec>
<sec>
<title>Results</title>
<p>Among older females, 33.8% were equol producers. The leukocyte mtDNA copy number was lower in non-equol producers versus equol producers. Furthermore, the leukocyte mtDNA copy number was positively associated with the serum equol concentration (r=0.42, <italic>P</italic>&#x003C;0.01). Stepwise multiple regression analysis showed that equol production (&#x03B2;=47.864, <italic>P</italic>&#x003C;0.01) was an independent factor associated with mtDNA copy number.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Equol production was associated with elevated mtDNA content in the peripheral blood of postmenopausal women. This finding suggests that the beneficial health effects of equol in postmenopausal women may be related to increased mitochondrial function.</p>
</sec>
</abstract>
<kwd-group xml:lang="en">
<kwd>Equol</kwd>
<kwd>Leukocytes</kwd>
<kwd>DNA</kwd>
<kwd>Mitochondria</kwd>
<kwd>Postmenopause</kwd>
</kwd-group>
</article-meta>
</front>
<back>
<ref-list xml:lang="en">
<title>REFERENCES</title>
<ref id="b1"><element-citation publication-type="journal"><label>1.</label><person-group person-group-type="author"><name><surname>Larkin</surname> <given-names>T</given-names></name> <name><surname>Price</surname> <given-names>WE</given-names></name> <name><surname>Astheimer</surname> <given-names>L</given-names></name></person-group> <article-title>The key importance of soy isoflavone bioavailability to understanding health benefits</article-title> <source>Crit Rev Food Sci Nutr</source> <year>2008</year><volume>48</volume><issue>6</issue> <fpage>538</fpage><lpage>52</lpage></element-citation></ref>
<ref id="b2"><element-citation publication-type="journal"><label>2.</label><person-group person-group-type="author"><name><surname>Hong</surname> <given-names>KW</given-names></name> <name><surname>Ko</surname> <given-names>KP</given-names></name> <name><surname>Ahn</surname> <given-names>Y</given-names></name> <name><surname>Kim</surname> <given-names>CS</given-names></name> <name><surname>Park</surname> <given-names>SJ</given-names></name> <name><surname>Park</surname> <given-names>JK</given-names></name> <etal/></person-group> <article-title>Epidemiological profiles between equol producers and non-producers: a genomewide association study of the equol-producing phenotype</article-title> <source>Genes Nutr</source> <year>2012</year><volume>7</volume><issue>4</issue> <fpage>567</fpage><lpage>74</lpage></element-citation></ref>
<ref id="b3"><element-citation publication-type="journal"><label>3.</label><person-group person-group-type="author"><name><surname>Franke</surname> <given-names>AA</given-names></name> <name><surname>Lai</surname> <given-names>JF</given-names></name> <name><surname>Halm</surname> <given-names>BM</given-names></name> <name><surname>Pagano</surname> <given-names>I</given-names></name> <name><surname>Kono</surname> <given-names>N</given-names></name> <name><surname>Mack</surname> <given-names>WJ</given-names></name> <etal/></person-group> <article-title>Equol production changes over time in postmenopausal women</article-title> <source>J Nutr Biochem</source> <year>2012</year><volume>23</volume><issue>6</issue> <fpage>573</fpage><lpage>9</lpage></element-citation></ref>
<ref id="b4"><element-citation publication-type="journal"><label>4.</label><person-group person-group-type="author"><name><surname>Setchell</surname> <given-names>KD</given-names></name> <name><surname>Cole</surname> <given-names>SJ</given-names></name></person-group> <article-title>Method of defining equol-producer status and its frequency among vegetarians</article-title> <source>J Nutr</source> <year>2006</year><volume>136</volume><issue>8</issue> <fpage>2188</fpage><lpage>93</lpage></element-citation></ref>
<ref id="b5"><element-citation publication-type="journal"><label>5.</label><person-group person-group-type="author"><name><surname>Aso</surname> <given-names>T</given-names></name> <name><surname>Uchiyama</surname> <given-names>S</given-names></name> <name><surname>Matsumura</surname> <given-names>Y</given-names></name> <name><surname>Taguchi</surname> <given-names>M</given-names></name> <name><surname>Nozaki</surname> <given-names>M</given-names></name> <name><surname>Takamatsu</surname> <given-names>K</given-names></name> <etal/></person-group> <article-title>A natural S-equol supplement alleviates hot flushes and other menopausal symptoms in equol nonproducing postmenopausal Japanese women</article-title> <source>J Womens Health (Larchmt)</source> <year>2012</year><volume>21</volume><issue>1</issue> <fpage>92</fpage><lpage>100</lpage></element-citation></ref>
<ref id="b6"><element-citation publication-type="journal"><label>6.</label><person-group person-group-type="author"><name><surname>Jackson</surname> <given-names>RL</given-names></name> <name><surname>Greiwe</surname> <given-names>JS</given-names></name> <name><surname>Schwen</surname> <given-names>RJ</given-names></name></person-group> <article-title>Emerging evidence of the health benefits of S-equol, an estrogen receptor &#x03B2; agonist</article-title> <source>Nutr Rev</source> <year>2011</year><volume>69</volume><issue>8</issue> <fpage>432</fpage><lpage>48</lpage></element-citation></ref>
<ref id="b7"><element-citation publication-type="journal"><label>7.</label><person-group person-group-type="author"><name><surname>Long</surname> <given-names>J</given-names></name> <name><surname>He</surname> <given-names>P</given-names></name> <name><surname>Shen</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>R</given-names></name></person-group> <article-title>New evidence of mitochondria dysfunction in the female Alzheimer&#x0027;s disease brain: deficiency of estrogen receptor-&#x03B2;</article-title> <source>J Alzheimers Dis</source> <year>2012</year><volume>30</volume><issue>3</issue> <fpage>545</fpage><lpage>58</lpage></element-citation></ref>
<ref id="b8"><element-citation publication-type="journal"><label>8.</label><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>JH</given-names></name> <name><surname>Im</surname> <given-names>JA</given-names></name> <name><surname>Lee</surname> <given-names>DC</given-names></name></person-group> <article-title>The relationship between leukocyte mitochondrial DNA contents and metabolic syndrome in postmenopausal women</article-title> <source>Menopause</source> <year>2012</year><volume>19</volume><issue>5</issue> <fpage>582</fpage><lpage>7</lpage></element-citation></ref>
<ref id="b9"><element-citation publication-type="journal"><label>9.</label><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>CH</given-names></name> <name><surname>Su</surname> <given-names>SL</given-names></name> <name><surname>Hsieh</surname> <given-names>MC</given-names></name> <name><surname>Cheng</surname> <given-names>WL</given-names></name> <name><surname>Chang</surname> <given-names>CC</given-names></name> <name><surname>Wu</surname> <given-names>HL</given-names></name> <etal/></person-group> <article-title>Depleted leukocyte mitochondrial DNA copy number in metabolic syndrome</article-title> <source>J Atheroscler Thromb</source> <year>2011</year><volume>18</volume><issue>10</issue> <fpage>867</fpage><lpage>73</lpage></element-citation></ref>
<ref id="b10"><element-citation publication-type="journal"><label>10.</label><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>JH</given-names></name> <name><surname>Lee</surname> <given-names>DC</given-names></name></person-group> <article-title>Mitochondrial DNA copy number in peripheral blood is associated with femoral neck bone mineral density in postmenopausal women</article-title> <source>J Rheumatol</source> <year>2012</year><volume>39</volume><issue>7</issue> <fpage>1465</fpage><lpage>72</lpage></element-citation></ref>
<ref id="b11"><element-citation publication-type="journal"><label>11.</label><person-group person-group-type="author"><name><surname>Simpkins</surname> <given-names>JW</given-names></name> <name><surname>Yi</surname> <given-names>KD</given-names></name> <name><surname>Yang</surname> <given-names>SH</given-names></name> <name><surname>Dykens</surname> <given-names>JA</given-names></name></person-group> <article-title>Mitochondrial mechanisms of estrogen neuroprotection</article-title> <source>Biochim Biophys Acta</source> <year>2010</year><volume>1800</volume><issue>10</issue> <fpage>1113</fpage><lpage>20</lpage></element-citation></ref>
<ref id="b12"><element-citation publication-type="journal"><label>12.</label><person-group person-group-type="author"><name><surname>Borr&#x00E1;s</surname> <given-names>C</given-names></name> <name><surname>Gambini</surname> <given-names>J</given-names></name> <name><surname>L&#x00F3;pez-Grueso</surname> <given-names>R</given-names></name> <name><surname>Pallard&#x00F3;</surname> <given-names>FV</given-names></name> <name><surname>Vi&#x00F1;a</surname> <given-names>J</given-names></name></person-group> <article-title>Direct antioxidant and protective effect of estradiol on isolated mitochondria</article-title> <source>Biochim Biophys Acta</source> <year>2010</year><volume>1802</volume><issue>1</issue> <fpage>205</fpage><lpage>11</lpage></element-citation></ref>
<ref id="b13"><element-citation publication-type="journal"><label>13.</label><person-group person-group-type="author"><name><surname>Levey</surname> <given-names>AS</given-names></name> <name><surname>Coresh</surname> <given-names>J</given-names></name> <name><surname>Greene</surname> <given-names>T</given-names></name> <name><surname>Stevens</surname> <given-names>LA</given-names></name> <name><surname>Zhang</surname> <given-names>YL</given-names></name> <name><surname>Hendriksen</surname> <given-names>S</given-names></name> <etal/></person-group> <article-title>Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate</article-title> <source>Ann Intern Med</source> <year>2006</year><volume>145</volume><issue>4</issue> <fpage>247</fpage><lpage>54</lpage></element-citation></ref>
<ref id="b14"><element-citation publication-type="journal"><label>14.</label><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>MJ</given-names></name> <name><surname>Kim</surname> <given-names>JH</given-names></name></person-group> <article-title>Estimated dietary isoflavone intake among Korean adults</article-title> <source>Nutr Res Pract</source> <year>2007</year><volume>1</volume><issue>3</issue> <fpage>206</fpage><lpage>11</lpage></element-citation></ref>
<ref id="b15"><element-citation publication-type="journal"><label>15.</label><person-group person-group-type="author"><name><surname>Brouwers</surname> <given-names>E</given-names></name> <name><surname>L&#x0027;homme</surname> <given-names>R</given-names></name> <name><surname>Al-Maharik</surname> <given-names>N</given-names></name> <name><surname>Lapc&#x00ED;k</surname> <given-names>O</given-names></name> <name><surname>Hampl</surname> <given-names>R</given-names></name> <name><surname>W&#x00E4;h&#x00E4;l&#x00E4; K;</surname> <given-names>K</given-names></name> <etal/></person-group> <article-title>Time-resolved fluoroimmunoassay for equol in plasma and urine</article-title> <source>J Steroid Biochem Mol Biol</source> <year>2003</year><volume>84</volume><issue>5</issue> <fpage>577</fpage><lpage>88</lpage></element-citation></ref>
<ref id="b16"><element-citation publication-type="journal"><label>16.</label><person-group person-group-type="author"><name><surname>Wong</surname> <given-names>A</given-names></name> <name><surname>Cortopassi</surname> <given-names>G</given-names></name></person-group> <article-title>Reproducible quantitative PCR of mitochondrial and nuclear DNA copy number using the LightCycler</article-title> <source>Methods Mol Biol</source> <year>2002</year><volume>197</volume> <fpage>129</fpage><lpage>37</lpage></element-citation></ref>
<ref id="b17"><element-citation publication-type="journal"><label>17.</label><person-group person-group-type="author"><name><surname>Setchell</surname> <given-names>KD</given-names></name></person-group> <article-title>Soy isoflavones--benefits and risks from nature&#x0027;s selective estrogen receptor modulators (SERMs)</article-title> <source>J Am Coll Nutr</source> <year>2001</year><volume>20</volume><issue>5 Suppl</issue> <fpage>354S</fpage><lpage>62S</lpage> <comment>discussion 381S-3S.</comment></element-citation></ref>
<ref id="b18"><element-citation publication-type="journal"><label>18.</label><person-group person-group-type="author"><name><surname>Ko</surname> <given-names>TF</given-names></name> <name><surname>Tsai</surname> <given-names>HS</given-names></name> <name><surname>Lin</surname> <given-names>SM</given-names></name> <name><surname>Liu</surname> <given-names>CD</given-names></name> <name><surname>Learn</surname> <given-names>SP</given-names></name> <name><surname>Chiou</surname> <given-names>RY</given-names></name></person-group> <article-title>GC-MS determined distribution of urinary equol producers as affected by age, gender, and repeated ingestions of soymilk</article-title> <source>J Food Sci</source> <year>2010</year><volume>75</volume><issue>9</issue> <fpage>H306</fpage><lpage>10</lpage></element-citation></ref>
<ref id="b19"><element-citation publication-type="journal"><label>19.</label><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>JH</given-names></name> <name><surname>Heo</surname> <given-names>JM</given-names></name> <name><surname>Park</surname> <given-names>YS</given-names></name> <name><surname>Park</surname> <given-names>HM</given-names></name></person-group> <article-title>Survey on the consumption of the phytoestrogen isoflavone in postmenopausal Korean women</article-title> <source>J Korean Soc Menopause</source> <year>2012</year><volume>18</volume><issue>3</issue> <fpage>163</fpage><lpage>73</lpage></element-citation></ref>
<ref id="b20"><element-citation publication-type="journal"><label>20.</label><person-group person-group-type="author"><name><surname>Lim</surname> <given-names>S</given-names></name> <name><surname>Kim</surname> <given-names>SK</given-names></name> <name><surname>Park</surname> <given-names>KS</given-names></name> <name><surname>Kim</surname> <given-names>SY</given-names></name> <name><surname>Cho</surname> <given-names>BY</given-names></name> <name><surname>Yim</surname> <given-names>MJ</given-names></name> <etal/></person-group> <article-title>Effect of exercise on the mitochondrial DNA content of peripheral blood in healthy women</article-title> <source>Eur J Appl Physiol</source> <year>2000</year><volume>82</volume><issue>5-6</issue> <fpage>407</fpage><lpage>12</lpage></element-citation></ref>
</ref-list>
<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-kjhp-15-108" position="float">
<label>Figure 1.</label>
<caption xml:lang="en"><p>Leukocyte mitochondrial DNA copy number among premenopausal women, postmenopausal equol producers, and postmenopausal non-equol producers. Premenopausal women: 262.21 (50.04); postmenopausal equol producers: 190.72 (29.19); and postmenopausal non-equol producers: 143.36 (26.58). <italic>P</italic>-values were calculated using ANCOVA for adjustment of age. <sup>a</sup>Premenopausal women; <sup>b</sup>Postmenopausal equol producer women; <sup>c</sup>Postmenopausal non-equol producer women.</p></caption>
<graphic xlink:href="kjhp-15-108-f1.tif"/>
</fig>
<fig id="f2-kjhp-15-108" position="float">
<label>Figure 2.</label>
<caption xml:lang="en"><p>Association between leukocyte mitochondrial DNA copy number and serum equol concentrations. <italic>P</italic>-values were calculated by Pearson&#x2019;s correlation.</p></caption>
<graphic xlink:href="kjhp-15-108-f2.tif"/>
</fig>
<table-wrap id="t1-kjhp-15-108" position="float">
<label>Table 1.</label>
<caption xml:lang="en"><p>Characteristics of the study subjects (n=71)<sup><xref ref-type="table-fn" rid="table1-fn2-kjhp-15-108">a</xref></sup></p></caption>
<table frame="hsides" rules="all">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Equol producer (n=24)</th>
<th valign="middle" align="center">Non-equol producer (n=47)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age, y</td>
<td valign="middle" align="center">71.6&#x00B1;4.4</td>
<td valign="middle" align="center">69.9&#x00B1;3.7</td>
</tr>
<tr>
<td valign="middle" align="left">Body mass index, kg/m<sup>2</sup></td>
<td valign="middle" align="center">25.62.8</td>
<td valign="middle" align="center">24.73.2</td>
</tr>
<tr>
<td valign="middle" align="left">Waist-hip ratio</td>
<td valign="middle" align="center">0.9&#x00B1;0.1</td>
<td valign="middle" align="center">0.9&#x00B1;0.1</td>
</tr>
<tr>
<td valign="middle" align="left">Total body fat, %</td>
<td valign="middle" align="center">35.6&#x00B1;6.2</td>
<td valign="middle" align="center">34.5&#x00B1;7.0</td>
</tr>
<tr>
<td valign="middle" align="left">Total body lean mass, kg</td>
<td valign="middle" align="center">21.0&#x00B1;2.6</td>
<td valign="middle" align="center">19.6&#x00B1;2.3</td>
</tr>
<tr>
<td valign="middle" align="left">Systolic blood pressure, mmHg</td>
<td valign="middle" align="center">127.6&#x00B1;11.9</td>
<td valign="middle" align="center">129.4&#x00B1;11.7</td>
</tr>
<tr>
<td valign="middle" align="left">Diastolic blood pressure, mmHg</td>
<td valign="middle" align="center">72.3&#x00B1;9.4</td>
<td valign="middle" align="center">74.8&#x00B1;9.2</td>
</tr>
<tr>
<td valign="middle" align="left">Fasting glucose, mg/dL</td>
<td valign="middle" align="center">101.4&#x00B1;18.2</td>
<td valign="middle" align="center">102.8&#x00B1;16.0</td>
</tr>
<tr>
<td valign="middle" align="left">Fasting insulin, &#x03BC;IU/mL</td>
<td valign="middle" align="center">6.9&#x00B1;3.0</td>
<td valign="middle" align="center">6.7&#x00B1;2.9</td>
</tr>
<tr>
<td valign="middle" align="left">HOMA-IR</td>
<td valign="middle" align="center">1.7&#x00B1;0.8</td>
<td valign="middle" align="center">1.7&#x00B1;0.8</td>
</tr>
<tr>
<td valign="middle" align="left">Total cholesterol, mg/dL</td>
<td valign="middle" align="center">199.2&#x00B1;41.2</td>
<td valign="middle" align="center">202.5&#x00B1;46.3</td>
</tr>
<tr>
<td valign="middle" align="left">Triglyceride, mg/dL<sup><xref ref-type="table-fn" rid="table1-fn3-kjhp-15-108">b</xref></sup></td>
<td valign="middle" align="center">106.5 (64.0-131.0)</td>
<td valign="middle" align="center">127 (81-127)</td>
</tr>
<tr>
<td valign="middle" align="left">HDL-cholesterol, mg/dL</td>
<td valign="middle" align="center">51.9&#x00B1;10.5</td>
<td valign="middle" align="center">51.1&#x00B1;9.8</td>
</tr>
<tr>
<td valign="middle" align="left">LDL-cholesterol, mg/dL</td>
<td valign="middle" align="center">121.1&#x00B1;34.5</td>
<td valign="middle" align="center">123.5&#x00B1;37.4</td>
</tr>
<tr>
<td valign="middle" align="left">Estimated GFR, mL/min</td>
<td valign="middle" align="center">97.5&#x00B1;19.7</td>
<td valign="middle" align="center">93.8&#x00B1;17.4</td>
</tr>
<tr>
<td valign="middle" align="left">Leukocyte, /&#x03BC;L</td>
<td valign="middle" align="center">5,662.8&#x00B1;1,410.8</td>
<td valign="middle" align="center">5,862.5&#x00B1;1,473.0</td>
</tr>
<tr>
<td valign="middle" align="left">Hs-CRP, mg/mL<sup><xref ref-type="table-fn" rid="table1-fn3-kjhp-15-108">b</xref></sup></td>
<td valign="middle" align="center">0.6 (0.3-1.3)</td>
<td valign="middle" align="center">0.8 (0.4-2.6)</td>
</tr>
<tr>
<td valign="middle" align="left">TSH, &#x03BC;IU/mL</td>
<td valign="middle" align="center">1.9&#x00B1;1.1</td>
<td valign="middle" align="center">2.2&#x00B1;1.1</td>
</tr>
<tr>
<td valign="middle" align="left">25-OH vitamin D, ng/mL</td>
<td valign="middle" align="center">12.5&#x00B1;5.2</td>
<td valign="middle" align="center">12.2&#x00B1;6.1</td>
</tr>
<tr>
<td valign="middle" align="left">Total energy intake, kcal/d</td>
<td valign="middle" align="center">1,488.9&#x00B1;283.4</td>
<td valign="middle" align="center">1,587.7&#x00B1;314.8</td>
</tr>
<tr>
<td valign="middle" align="left">Protein intake, % kcal</td>
<td valign="middle" align="center">15.9&#x00B1;2.0</td>
<td valign="middle" align="center">16.0&#x00B1;2.7</td>
</tr>
<tr>
<td valign="middle" align="left">Isoflavone intake, mg/d<sup><xref ref-type="table-fn" rid="table1-fn3-kjhp-15-108">b</xref></sup></td>
<td valign="middle" align="center">38.3 (13.9-59.5)</td>
<td valign="middle" align="center">25.5 (13.4-41.0)</td>
</tr>
<tr>
<td valign="middle" align="left">Current smoker</td>
<td valign="middle" align="center">1 (4.2)</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="left">Alcohol consumption<sup><xref ref-type="table-fn" rid="table1-fn4-kjhp-15-108">c</xref></sup></td>
<td valign="middle" align="center">4 (16.7)</td>
<td valign="middle" align="center">6 (12.8)</td>
</tr>
<tr>
<td valign="middle" align="left">Regular exercise</td>
<td valign="middle" align="center">12 (50.0)</td>
<td valign="middle" align="center">20 (42.6)</td>
</tr>
<tr>
<td valign="middle" align="left">Medication</td>
<td/>
<td/>
</tr>
<tr>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="center">10 (41.7)</td>
<td valign="middle" align="center">20 (42.6)</td>
</tr>
<tr>
<td valign="middle" align="left">Diabetes</td>
<td valign="middle" align="center">3 (12.5)</td>
<td valign="middle" align="center">7 (14.9)</td>
</tr>
<tr>
<td valign="middle" align="left">Dyslipidemia</td>
<td valign="middle" align="center">4 (16.7)</td>
<td valign="middle" align="center">8 (17.0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table1-fn1-kjhp-15-108"><p>Abbreviations: HOMA-IR, homeostasis model assessment of insulin resistance; HDL, high-density lipoprotein; LDL, low-density lipoprotein; GFR, glomerular filtration rate; Hs-CRP, high-sensitivity C-reactive protein; TSH, thyroid-stimulating hormone; 25-OH vitamin D, 25-hydroxyvitamin D.</p></fn>
<fn id="table1-fn2-kjhp-15-108"><label>a</label><p>Values are presented as mean&#x00B1;SD unless otherwise indicated.</p></fn>
<fn id="table1-fn3-kjhp-15-108"><label>b</label><p>Median (interquartile range, IQR).</p></fn>
<fn id="table1-fn4-kjhp-15-108"><label>c</label><p>Defined as consumption of 72 g or more of alcohol per week.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t2-kjhp-15-108" position="float">
<label>Table 2.</label>
<caption xml:lang="en"><p>Correlation between leukocyte mitochondrial DNA copy number and variables<sup><xref ref-type="table-fn" rid="table2-fn2-kjhp-15-108">a</xref></sup></p></caption>
<table frame="hsides" rules="all">
<thead>
<tr>
<th valign="middle" align="center">Variables</th>
<th valign="middle" align="center">r</th>
<th valign="middle" align="center"><italic>P</italic><sup><xref ref-type="table-fn" rid="table2-fn3-kjhp-15-108">b</xref></sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="center">-0.20</td>
<td valign="middle" align="center">0.040</td>
</tr>
<tr>
<td valign="middle" align="left">Body mass index</td>
<td valign="middle" align="center">-0.12</td>
<td valign="middle" align="center">0.240</td>
</tr>
<tr>
<td valign="middle" align="left">Waist hip ratio</td>
<td valign="middle" align="center">-0.20</td>
<td valign="middle" align="center">0.050</td>
</tr>
<tr>
<td valign="middle" align="left">Total body fat</td>
<td valign="middle" align="center">0.01</td>
<td valign="middle" align="center">0.930</td>
</tr>
<tr>
<td valign="middle" align="left">Total lean body mass</td>
<td valign="middle" align="center">0.16</td>
<td valign="middle" align="center">0.110</td>
</tr>
<tr>
<td valign="middle" align="left">Systolic blood pressure</td>
<td valign="middle" align="center">-0.26</td>
<td valign="middle" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left">Diastolic blood pressure</td>
<td valign="middle" align="center">-0.10</td>
<td valign="middle" align="center">0.320</td>
</tr>
<tr>
<td valign="middle" align="left">Fasting glucose</td>
<td valign="middle" align="center">-0.17</td>
<td valign="middle" align="center">0.070</td>
</tr>
<tr>
<td valign="middle" align="left">Fasting insulin</td>
<td valign="middle" align="center">-0.01</td>
<td valign="middle" align="center">0.910</td>
</tr>
<tr>
<td valign="middle" align="left">HOMA-IR</td>
<td valign="middle" align="center">-0.06</td>
<td valign="middle" align="center">0.550</td>
</tr>
<tr>
<td valign="middle" align="left">Total cholesterol</td>
<td valign="middle" align="center">-0.06</td>
<td valign="middle" align="center">0.540</td>
</tr>
<tr>
<td valign="middle" align="left">Triglyceride<sup><xref ref-type="table-fn" rid="table2-fn4-kjhp-15-108">c</xref></sup></td>
<td valign="middle" align="center">-0.15</td>
<td valign="middle" align="center">0.120</td>
</tr>
<tr>
<td valign="middle" align="left">HDL-cholesterol</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">0.780</td>
</tr>
<tr>
<td valign="middle" align="left">LDL-cholesterol</td>
<td valign="middle" align="center">-0.04</td>
<td valign="middle" align="center">0.650</td>
</tr>
<tr>
<td valign="middle" align="left">Estimated GFR</td>
<td valign="middle" align="center">0.20</td>
<td valign="middle" align="center">0.040</td>
</tr>
<tr>
<td valign="middle" align="left">Leukocyte</td>
<td valign="middle" align="center">-0.14</td>
<td valign="middle" align="center">0.160</td>
</tr>
<tr>
<td valign="middle" align="left">Hs-CRP<sup><xref ref-type="table-fn" rid="table2-fn4-kjhp-15-108">c</xref></sup></td>
<td valign="middle" align="center">-0.22</td>
<td valign="middle" align="center">0.030</td>
</tr>
<tr>
<td valign="middle" align="left">TSH</td>
<td valign="middle" align="center">-0.13</td>
<td valign="middle" align="center">0.120</td>
</tr>
<tr>
<td valign="middle" align="left">25-OH vitamin D</td>
<td valign="middle" align="center">0.17</td>
<td valign="middle" align="center">0.090</td>
</tr>
<tr>
<td valign="middle" align="left">Total energy intake</td>
<td valign="middle" align="center">-0.05</td>
<td valign="middle" align="center">0.610</td>
</tr>
<tr>
<td valign="middle" align="left">Protein intake</td>
<td valign="middle" align="center">0.08</td>
<td valign="middle" align="center">0.460</td>
</tr>
<tr>
<td valign="middle" align="left">Isoflavone intake<sup><xref ref-type="table-fn" rid="table2-fn4-kjhp-15-108">c</xref></sup></td>
<td valign="middle" align="center">0.17</td>
<td valign="middle" align="center">0.150</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table2-fn1-kjhp-15-108"><p>Abbreviations: HOMA-IR, homeostasis model assessment of insulin resistance; HDL, high-density lipoprotein; LDL, low-density lipoprotein; GFR, glomerular filtration rate; Hs-CRP, high-sensitivity C-reactive protein; TSH, thyroid-stimulating hormone; 25-OH vitamin D, 25-hydroxyvitamin D.</p></fn>
<fn id="table2-fn2-kjhp-15-108"><label>a</label><p>Mitochondrial DNA copy number has been analyzed after log-transformation.</p></fn>
<fn id="table2-fn3-kjhp-15-108"><label>b</label><p>Calculated by Pearson&#x2019;s correlation analysis.</p></fn>
<fn id="table2-fn4-kjhp-15-108"><label>c</label><p>Median (interquartile range, IQR).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t3-kjhp-15-108" position="float">
<label>Table 3.</label>
<caption xml:lang="en"><p>Stepwise multiple linear regression analysis to identify independent clinical variables associated with leukocyte mitochondrial DNA copy number</p></caption>
<table frame="hsides" rules="all">
<thead>
<tr>
<th valign="middle" align="center">Variables</th>
<th valign="middle" align="center">&#x03B2;</th>
<th valign="middle" align="center">Standard error</th>
<th valign="middle" align="center"><italic>F</italic>-value</th>
<th valign="middle" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Equol production</td>
<td valign="middle" align="center">47.864</td>
<td valign="middle" align="center">10.446</td>
<td valign="middle" align="center">42.83</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="center">-1.141</td>
<td valign="middle" align="center">0.364</td>
<td valign="middle" align="center">6.15</td>
<td valign="middle" align="center">0.020</td>
</tr>
<tr>
<td valign="middle" align="left">Total lean body mass</td>
<td valign="middle" align="center">4.483</td>
<td valign="middle" align="center">1.577</td>
<td valign="middle" align="center">7.25</td>
<td valign="middle" align="center">0.010</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table3-fn1-kjhp-15-108"><p>All variables remaining in the model are significant at the 0.15 level. No other variables met the 0.15 significance level for entry into the model; R<sup>2</sup> for telomere length was 0.81; Variables included in the stepwise model were body mass index; waist-hip ratio; total body fat; systolic blood pressure; estimated GFR; fasting glucose; hs-CRP; 25-OH vitamin D; alcohol consumption; regular exercise; and use of anti- hypertensive, anti-diabetic, and lipid lowering agents.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</back>
</article>