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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ETM</journal-id>
<journal-title-group>
<journal-title>Experimental and Therapeutic Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-0981</issn>
<issn pub-type="epub">1792-1015</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/etm.2018.6524</article-id>
<article-id pub-id-type="publisher-id">ETM-0-0-6524</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Association of <italic>OGG1</italic> and <italic>DLST</italic> promoter methylation with Alzheimer&#x0027;s disease in Xinjiang population</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Wei</given-names></name>
<xref rid="af1-etm-0-0-6524" ref-type="aff">1</xref>
<xref rid="fn1-etm-0-0-6524" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhou</surname><given-names>Xiaohui</given-names></name>
<xref rid="af1-etm-0-0-6524" ref-type="aff">1</xref>
<xref rid="fn1-etm-0-0-6524" ref-type="author-notes">&#x002A;</xref>
<xref rid="c1-etm-0-0-6524" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Duan</surname><given-names>Yali</given-names></name>
<xref rid="af1-etm-0-0-6524" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Zou</surname><given-names>Ting</given-names></name>
<xref rid="af1-etm-0-0-6524" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Guili</given-names></name>
<xref rid="af2-etm-0-0-6524" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Ying</surname><given-names>Xiuru</given-names></name>
<xref rid="af2-etm-0-0-6524" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Qinwen</given-names></name>
<xref rid="af2-etm-0-0-6524" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Duan</surname><given-names>Shiwei</given-names></name>
<xref rid="af2-etm-0-0-6524" ref-type="aff">2</xref>
<xref rid="c2-etm-0-0-6524" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-etm-0-0-6524"><label>1</label>Department of Internal Medicine for Cadres, The First Affiliated Hospital of Xinjiang Medical University, &#x00DC;r&#x00FC;mqi, Xinjiang 830000, P.R. China</aff>
<aff id="af2-etm-0-0-6524"><label>2</label>Ningbo Key Lab of Behavior Neuroscience, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China</aff>
<author-notes>
<corresp id="c1-etm-0-0-6524"><italic>Correspondence to</italic>: Dr Xiaohui Zhou, Department of Internal Medicine for Cadres, The First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan South Road, New Urban Area, &#x00DC;r&#x00FC;mqi, Xinjiang 830000, P.R. China, E-mail: <email>zhouxiaohui858@sina.com</email></corresp>
<corresp id="c2-etm-0-0-6524">Dr Shiwei Duan, Ningbo Key Lab of Behavior Neuroscience, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Jiangbei, Ningbo, Zhejiang 315211, P.R. China, E-mail: <email>duanshiwei@nbu.edu.cn</email></corresp>
<fn id="fn1-etm-0-0-6524"><label>&#x002A;</label><p>Contributed equally</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>10</month>
<year>2018</year></pub-date>
<pub-date pub-type="epub">
<day>26</day>
<month>07</month>
<year>2018</year></pub-date>
<volume>16</volume>
<issue>4</issue>
<fpage>3135</fpage>
<lpage>3142</lpage>
<history>
<date date-type="received"><day>11</day><month>07</month><year>2017</year></date>
<date date-type="accepted"><day>06</day><month>06</month><year>2018</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2018, Spandidos Publications</copyright-statement>
<copyright-year>2018</copyright-year>
</permissions>
<abstract>
<p>Alzheimer&#x0027;s disease (AD) is a neurodegenerative disorder leading to progressive memory and cognitive impairment. Previous studies have identified multiple genes associated with AD. The aim of the present study was to validate the association of the five AD-associated variants, 8-oxoguanine DNA glycosylase 1 (<italic>OGG1</italic>) rs1052133, bridging integrator 1 rs744373, sortilin-related receptor 1, rs1133174, presenilin 2 rs8383, and nerve growth factor rs6330, in the Xinjiang Chinese population. In addition, the present study evaluated the contribution of the promoter methylation of two genes, <italic>OGG1</italic> and dihydrolipoamide succinyltransferase (<italic>DLST</italic>) to the risk of AD. A total of 17 AD cases and 34 controls were recruited from Xinjiang province in China. Genotyping was done by Sanger sequencing. DNA methylation assay was performed using quantitative methylation specific polymerase chain reaction. The study was unable to repeat the previous association of the five genetic polymorphisms with AD. However, <italic>DLST</italic> methylation levels were demonstrated to be significantly decreased in AD patients (P=0.027), particularly in female AD patients (P=0.025). Subgroup analysis by apolipoprotein E (<italic>APOE</italic> &#x03B5;4) genotype demonstrated that <italic>OGG1</italic> methylation levels were significantly increased in <italic>APOE</italic> non-&#x03B5;4 carriers compared with <italic>APOE</italic> &#x03B5;4 carriers (P=0.027). In summary, the present study reported that <italic>DLST</italic> hypomethylation was significantly associated with AD in females, and that <italic>OGG1</italic> promoter methylation may interact with <italic>APOE</italic> &#x03B5;4 genotype.</p>
</abstract>
<kwd-group>
<kwd>Alzheimer&#x0027;s disease</kwd>
<kwd><italic>OGG1</italic></kwd>
<kwd><italic>DLST</italic></kwd>
<kwd>single nucleotide polymorphism</kwd>
<kwd>DNA methylation</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Alzheimer&#x0027;s disease (AD) is a progressive neurodegenerative disorder which has become a worldwide public health problem (<xref rid="b1-etm-0-0-6524" ref-type="bibr">1</xref>). The pathogenesis of AD is complex, and it may be contributed by genetic and environmental factors. The external environment can affect DNA methylation to change phenotype and gene expression (<xref rid="b2-etm-0-0-6524" ref-type="bibr">2</xref>). DNA methylation is an important epigenetic mechanism regulating the expression of aging genes in brain (<xref rid="b3-etm-0-0-6524" ref-type="bibr">3</xref>). The expression and closure of methylation regulatory genes are closely related to the human nervous system (<xref rid="b4-etm-0-0-6524" ref-type="bibr">4</xref>) and cognitive function (<xref rid="b5-etm-0-0-6524" ref-type="bibr">5</xref>).</p>
<p>The major challenge of AD is to identify new therapeutic targets and to develop new therapies for this disease (<xref rid="b6-etm-0-0-6524" ref-type="bibr">6</xref>). AD is closely related to tau hyperphosphorylation, oxidative stress, amyloid-&#x03B2; (A&#x03B2;) production, neuronal apoptosis, gene mutation, apolipoprotein E (<italic>APOE</italic>). Bridging integrator 1 (BIN1) is an important gene in the modulation of tau pathology, and BIN1 knockdown was shown to significantly suppress tau-mediated neurotoxicity (<xref rid="b7-etm-0-0-6524" ref-type="bibr">7</xref>). Sortilin-related receptor 1 (SORL1) is a member of the low-density lipoprotein receptor family that reduces amyloid-&#x03B2; (A&#x03B2;) production by regulating the intracellular transport and processing of APP (<xref rid="b8-etm-0-0-6524" ref-type="bibr">8</xref>). Nerve growth factor (NGF) contributes to the survival, regeneration and death of neurons during aging and in neurodegenerative diseases (<xref rid="b9-etm-0-0-6524" ref-type="bibr">9</xref>). PSEN2 is a transmembrane protein and AD-related presenilin mutations can alter intracellular calcium signaling, which leads to A&#x03B2; aggregation to form brain plaques and neuronal cell death (<xref rid="b10-etm-0-0-6524" ref-type="bibr">10</xref>). Genetic variation within these genes is associated with an increased risk of AD (<xref rid="b9-etm-0-0-6524" ref-type="bibr">9</xref>,<xref rid="b11-etm-0-0-6524" ref-type="bibr">11</xref>&#x2013;<xref rid="b14-etm-0-0-6524" ref-type="bibr">14</xref>). The 8-oxoguanine DNA glycosylase 1 (<italic>OGG1</italic>) is a bifunctional enzyme with both glycosylase and AP lyase activities (<xref rid="b15-etm-0-0-6524" ref-type="bibr">15</xref>). Decreased <italic>OGG1</italic> activity occurs early in the progression of AD (<xref rid="b16-etm-0-0-6524" ref-type="bibr">16</xref>). <italic>OGG1</italic> was largely hypomethylated in LOAD and control blood DNA, and they do not support an increased promoter methylation of <italic>OGG1</italic> in blood DNA of AD patients (<xref rid="b17-etm-0-0-6524" ref-type="bibr">17</xref>). Dihydrolipoamide succinyltransferase (<italic>DLST</italic>) is a subunit enzyme of the a-ketoglutarate dehydrogenase complex in the Krebs cycle. Polymorphisms of <italic>DLST</italic> were associated with AD in both Japanese and Caucasian populations (<xref rid="b18-etm-0-0-6524" ref-type="bibr">18</xref>&#x2013;<xref rid="b20-etm-0-0-6524" ref-type="bibr">20</xref>).</p>
<p>In the present study, we aimed to validate the association of the five AD-associated variants (<italic>OGG1</italic> rs1052133, <italic>BIN1</italic> rs744373, <italic>SORL1</italic> rs1133174, <italic>PSEN2</italic> rs8383, and <italic>NGF</italic> rs6330) with AD in Xinjiang population. We also tested the association of <italic>OGG1</italic> and <italic>DLST</italic> promoter methylation with AD.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<p>Epidemiological investigation was carried out in Xinjiang province of China between 2014 and 2015. A total of 17 AD patients (75.65&#x00B1;5.86 years) and 34 well-matched controls (77.59&#x00B1;7.41 years) were selected for the present study (<xref rid="tI-etm-0-0-6524" ref-type="table">Table I</xref>). This study was approved by the First Affiliated Hospital of Xinjiang Medical University Ethics Committee. All the patients gave their written informed consent forms for the current study. The clinical diagnosis of AD was done according to the criteria of the Diagnostic and Statistical Manual-IV (DSM-IV). The details were the same as previously described (<xref rid="b21-etm-0-0-6524" ref-type="bibr">21</xref>). Whole blood was stored in EDTA tube at &#x2212;80&#x00B0;C. Genomic DNA was extracted and dissolved in TE buffer, and then it was stored at &#x2212;20&#x00B0;C. Polymerase chain reaction (PCR) was carried out in 40 &#x00B5;l volume containing 2 &#x00B5;l of each primer, 4 &#x00B5;l genomic DNA, 12 &#x00B5;l ddH2O and 20 &#x00B5;l 2X HotTaq Master Mix. PCR was performed in a Veriti 96-well thermal cycler (Applied Biosystems; Thermo Fisher Scientific, Inc., Waltham, MA, USA). Genotyping was done using the Sanger sequencing. The primer sequences were TTACTTCTCCACGGACAAC and CAAGATTCTAACAGGACTCATC for the forward and the reverse primers of <italic>PSEN2</italic> rs8383 genotyping, GCCAGTCCATCTTCTTCT and ACCACATCTTAGCCACAG for the forward and the reverse primers of <italic>BIN1</italic> rs744373 genotyping, CATCCATACTGCCTGAGTC and CCTGTGAGTCCTGTTGAAG for the forward and the reverse primers of <italic>NGF</italic> rs6330 genotyping, GTGGATTCTCATTGCCTTC and AAACTGACTGCTTGATTTGG for the forward and the reverse primers of <italic>OGG1</italic> rs1052133 genotyping, and TGTGACTTGTGCTGTATGAT and ACGCTAGAAGAAGGCTTATC for the forward and the reverse primers of <italic>SORL1</italic> rs1133174 genotyping. PCR consisted of an initial melting step at 95&#x00B0;C for 10 min, 35 cycles (<italic>NGF, BIN1</italic>, and <italic>OGG1</italic>) or 37 cycles (<italic>PSEN2</italic>) or 40 cycles (<italic>SORL1</italic>), and a final extension step at 72&#x00B0;C for 2 min. The cycling program was 95&#x00B0;C for 30 sec, 58&#x00B0;C (<italic>NGF</italic> and <italic>BIN1</italic>) or 54&#x00B0;C (<italic>OGG1</italic>) or 57&#x00B0;C (<italic>PSEN2</italic>) or 53&#x00B0;C (<italic>SORL1</italic>) for 45 sec for annealing, and 72&#x00B0;C for 30 sec. DNA bisulphite conversion was done using the EZ DNA Methylation-Gold&#x2122; Kit (Zymo Research Corp., Irvine, CA, USA). The details of bisulphite conversion were the same as previously described (<xref rid="b22-etm-0-0-6524" ref-type="bibr">22</xref>). Promoter methylation status of <italic>OGG1</italic> and <italic>DLST</italic> were examined utilizing quantitative methylation-specific PCR (qMSP). The primer sequences were CGGTGGTTGAGTTTTATTTTC and CTCCTTACGACTTATCTTCTC for the upstream and the downstream primers of <italic>OGG1</italic>, respectively. And the upstream and the downstream primer sequences of <italic>DLST</italic> were GTTGTAGTCGGGATATTGG and CGAAACGAACCACTAACA, respectively.</p>
<sec>
<title/>
<sec>
<title>Statistical analysis</title>
<p>SPSS 17.0 software (SPSS, Inc., Chicago, IL, USA) was used for the statistical analysis. Comparison of demographical parameters between cases and controls was performed using the Student&#x0027;s t test for continuous variables and the &#x03C7;2 test for categorical data. Spearman rank correlation test was used to analyze the associations between gene methylation and metabolic characteristics. P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<p>The characteristics of AD and control groups were presented in <xref rid="tI-etm-0-0-6524" ref-type="table">Table I</xref>. Our results showed the two groups were well paired according to the facts that there were no significant difference on gender, age, hypertension, diabetes, lipid levels, smoking and drinking status between the AD group and control group (P&#x003E;0.05). As shown in <xref rid="tII-etm-0-0-6524" ref-type="table">Table II</xref>, there were no associations of the five genetic polymorphisms with AD. Further <italic>APOE</italic> &#x03B5;4 based subgroup analysis indicated there were no significant interaction of <italic>APOE</italic> &#x03B5;4 with the five genetic variants (<xref rid="tIII-etm-0-0-6524" ref-type="table">Table III</xref>, P&#x003E;0.05).</p>
<p>The promoter regions of <italic>OGG1</italic> and <italic>DLST</italic> were selected for the current methylation study (<xref rid="f1-etm-0-0-6524" ref-type="fig">Fig. 1</xref>). In this study, we investigated the association of the methylation levels of <italic>OGG1</italic> and <italic>DLST</italic> genes with AD (<xref rid="f2-etm-0-0-6524" ref-type="fig">Fig. 2</xref>). Although <italic>OGG1</italic> methylation was not associated with AD, our results showed that <italic>OGG1</italic> methylation was significantly lower in AD patients with <italic>APOE</italic> &#x03B5;4 allele than AD patients with <italic>APOE</italic> non-&#x03B5;4 allele (P=0.027). Among AD patients older than 75 years old, the levels of <italic>OGG1</italic> methylation were significantly lower in AD patients carrying <italic>APOE</italic> &#x03B5;4 allele than AD patients who did not carry <italic>APOE</italic> &#x03B5;4 allele (P=0.046).</p>
<p>As shown in <xref rid="f2-etm-0-0-6524" ref-type="fig">Fig. 2</xref>, <italic>DLST</italic> methylation levels were significantly lower in AD patients (P=0.027). Further subgroup analysis by gender showed that the association of <italic>DLST</italic> methylation with AD was specific in females (P=0.025). Further subgroup analysis by <italic>APOE</italic> &#x03B5;4 locus showed that <italic>DLST</italic> methylation was associated with AD in the <italic>APOE</italic> non-&#x03B5;4 individuals (P=0.029). In the control group, the level of <italic>DLST</italic> methylation was positively correlated with TC (r=0.401, P=0.019; <xref rid="tIV-etm-0-0-6524" ref-type="table">Table IV</xref>, <xref rid="f3-etm-0-0-6524" ref-type="fig">Fig. 3</xref>). Further stratification by gender showed age and <italic>OGG1</italic> methylation levels were significantly correlated in AD group (male: r=0.762, P=0.046; female: r=&#x2212;0.753, P=0.012; <xref rid="tV-etm-0-0-6524" ref-type="table">Table V</xref>, Fig. 4). In control group, the level of <italic>DLST</italic> methylation was inversely correlated with age (r=&#x2212;0.414, P=0.015), and further stratified by gender showed that there was an inverse correlation between age and <italic>DLST</italic> methylation in males (r=&#x2212;0.607, P=0.010).</p>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Previous studies have revealed the association of five variants with AD, including <italic>OGG1</italic> rs1052133, <italic>BIN1</italic> rs744373, <italic>SORL1</italic> rs1133174, <italic>PSEN2</italic> rs8383, and <italic>NGF</italic> rs6330 (<xref rid="b15-etm-0-0-6524" ref-type="bibr">15</xref>,<xref rid="b23-etm-0-0-6524" ref-type="bibr">23</xref>&#x2013;<xref rid="b27-etm-0-0-6524" ref-type="bibr">27</xref>). And <italic>BIN1</italic> rs744373 was found to have no interaction with <italic>APOE</italic> &#x03B5;4 genotype (<xref rid="b28-etm-0-0-6524" ref-type="bibr">28</xref>). In the present study, we were unable to repeat the association of the above five variants with AD. And further <italic>APOE</italic> &#x03B5;4 based subgroup analysis indicated that <italic>APOE</italic> &#x03B5;4 did not have significant effects on five genetic polymorphisms. This might be explained by the moderate power and different ethnic background in the present pilot study. Future validation is needed in cohort with more samples.</p>
<p><italic>DLST</italic> is a core component of <italic>KGDHC</italic> which is essential in the citric acid cycle (<xref rid="b29-etm-0-0-6524" ref-type="bibr">29</xref>). Deficiency of DLST will increase production of free radicals thereby inducing mitochondrial damage (<xref rid="b29-etm-0-0-6524" ref-type="bibr">29</xref>), which leads to an increase in the generation of reactive oxygen species (ROS). ROS damage various molecules, including DNA, protein and lipid, and induce apoptosis (<xref rid="b30-etm-0-0-6524" ref-type="bibr">30</xref>), eventually leading to the occurrence of AD (<xref rid="b31-etm-0-0-6524" ref-type="bibr">31</xref>). The results of this study suggest that <italic>DLST</italic> hypomethylation may contribute to the pathogenesis of AD in females. Women are more likely to have AD than men because women tend live longer than men (<xref rid="b32-etm-0-0-6524" ref-type="bibr">32</xref>&#x2013;<xref rid="b34-etm-0-0-6524" ref-type="bibr">34</xref>). This finding might also help explain the sex differences in the risk of AD (<xref rid="b35-etm-0-0-6524" ref-type="bibr">35</xref>).</p>
<p>There were several limitations in the current study. Firstly, our pilot study only involved a moderate number of subjects (17 AD cases and 34 controls). This was due to the incidence rate of AD being low in Xinjiang. However, we chose a total of 51 well preserved samples, for which the transport process was reasonable and the basic informations were completed and matched. We were unable to validate the association of five gene polymorphisms (<italic>OGG1</italic> rs1052133, <italic>BIN1</italic> rs744373, <italic>SORL1</italic> rs1133174, <italic>PSEN2</italic> rs8383, and <italic>NGF</italic> rs6330) with AD in the Xinjiang population. This might be due to the limited number of samples in this study. Secondly, we only selected a fragment in the promoter CpG rich region to represent the methylation of <italic>OGG1</italic> and <italic>DLST</italic>. The methylation of other regions of the two genes might be explored in the future. Thirdly, Xinjiang Uygur Autonomous Region is a multi-ethnic area. Future research with larger sample sets and more ethnic populations are required to confirm the present findings.</p>
<p>In summary, we found that the levels of <italic>DLST</italic> methylation were decreased in AD patients, especially in female AD patients. The results showed that the level of <italic>OGG1</italic> promoter methylation might be interacted with <italic>APOE</italic> &#x03B5;4 genotype.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to thank Professor Xiaohui Zhou for providing guidance on the implementation of this project, and thank Professor Shiwei Duan of the Basic Medical College of Ningbo University in Zhejiang Province for supporting the experiment and thesis writing.</p>
</ack>
<sec>
<title>Funding</title>
<p>This research was supported by the grants from the National Natural Science Foundation of China (grant no. U1503223).</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>SD, XZ and QW conceived and designed the experiments. WC, TZ, YD, GL and XY performed the experiments. WC and GL analyzed the data. GL and XY contributed reagents/materials/analysis tools. WC, TZ and YD wrote the manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The present study was approved by the First Affiliated Hospital of Xinjiang Medical University Ethics Committee. All the patients gave their written informed consent forms for the present study.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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<floats-group>
<fig id="f1-etm-0-0-6524" position="float">
<label>Figure 1.</label>
<caption><p>Locations of OGG1 and DLST promoter CpG sites. The CpG island is represented by a green box. The qMSP primers are underlined and CpG site on primers is in gray. OGG1, 8-oxoguanine DNA glycosylase 1; DLST, dihydrolipoamide succinyltransferase; F, forwards primer; R, reverse primer.</p></caption>
<graphic xlink:href="etm-16-04-3135-g00.jpg"/>
</fig>
<fig id="f2-etm-0-0-6524" position="float">
<label>Figure 2.</label>
<caption><p>Comparisons of OGG1 and DLST methylation levels between AD group and control group. The methylation levels in the case group and the control group were compared and stratified by gender, age, and whether or not they carried APOE &#x03B5;4 allele. P&#x003C;0.05 was marked, indicating that the corresponding difference between the two groups was statistically significant. OGG1, 8-oxoguanine DNA glycosylase 1; DLST, dihydrolipoamide succinyltransferase; AD, Alzheimer&#x0027;s disease; APOE &#x03B5;4, subjects with at least one APOE &#x03B5;4 allele; APOE non-&#x03B5;4, subjects with APOE non-&#x03B5;4 allele.</p></caption>
<graphic xlink:href="etm-16-04-3135-g01.jpg"/>
</fig>
<fig id="f3-etm-0-0-6524" position="float">
<label>Figure 3.</label>
<caption><p>Pearson correlation between DLST methylation and TC. The upper panel shows the correlation between DLST methylation and TC in the control group. DLST, dihydrolipoamide succinyltransferase; TC, total cholesterol.</p></caption>
<graphic xlink:href="etm-16-04-3135-g02.jpg"/>
</fig>
<fig id="f3a-etm-0-0-6524" position="float">
<label>Figure 3.</label>
<caption><p>Correlation tests between age and DNA methylation in AD and control group. The upper panel shows the correlation between genes (DLST and OGG1) methylation and age in AD and control group. r represents correlation coefficient, P&#x003C;0.05 represents statistical significance. AD, Alzheimer&#x0027;s disease; DLST, dihydrolipoamide succinyltransferase; OGG1, 8-oxoguanine DNA glycosylase 1.</p></caption>
<graphic xlink:href="etm-16-04-3135-g03.jpg"/>
</fig>
<table-wrap id="tI-etm-0-0-6524" position="float">
<label>Table I.</label>
<caption><p>Baseline clinical data of included subjects.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristics</th>
<th align="center" valign="bottom">Cases (n=17)</th>
<th align="center" valign="bottom">Controls (n=34)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">75.65&#x00B1;5.86</td>
<td align="center" valign="top">77.59&#x00B1;7.41</td>
<td align="center" valign="top">0.35</td>
</tr>
<tr>
<td align="left" valign="top">SBP (mmHg)</td>
<td align="center" valign="top">132.94&#x00B1;16.40</td>
<td align="center" valign="top">136.24&#x00B1;20.05</td>
<td align="center" valign="top">0.56</td>
</tr>
<tr>
<td align="left" valign="top">DBP (mmHg)</td>
<td align="center" valign="top">75.35&#x00B1;9.66</td>
<td align="center" valign="top">77.21&#x00B1;11.13</td>
<td align="center" valign="top">0.56</td>
</tr>
<tr>
<td align="left" valign="top">TG (mmol/l)</td>
<td align="center" valign="top">2.03&#x00B1;1.53</td>
<td align="center" valign="top">1.52&#x00B1;1.27</td>
<td align="center" valign="top">0.31</td>
</tr>
<tr>
<td align="left" valign="top">TC (mmol/l)</td>
<td align="center" valign="top">3.94&#x00B1;1.65</td>
<td align="center" valign="top">4.37&#x00B1;1.60</td>
<td align="center" valign="top">0.38</td>
</tr>
<tr>
<td align="left" valign="top">HDL (mmol/l)</td>
<td align="center" valign="top">1.41&#x00B1;0.30</td>
<td align="center" valign="top">1.29&#x00B1;0.45</td>
<td align="center" valign="top">0.33</td>
</tr>
<tr>
<td align="left" valign="top">LDL (mmol/l)</td>
<td align="center" valign="top">2.71&#x00B1;0.68</td>
<td align="center" valign="top">2.75&#x00B1;1.05</td>
<td align="center" valign="top">0.88</td>
</tr>
<tr>
<td align="left" valign="top">FBG (mmol/l)</td>
<td align="center" valign="top">4.85&#x00B1;0.80</td>
<td align="center" valign="top">5.15&#x00B1;1.10</td>
<td align="center" valign="top">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Male/Female</td>
<td align="center" valign="top">7/10</td>
<td align="center" valign="top">17/17</td>
<td align="center" valign="top">0.55</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes/Non-diabetes</td>
<td align="center" valign="top">1/16</td>
<td align="center" valign="top">7/27</td>
<td align="center" valign="top">0.34</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension/Non-hypertension</td>
<td align="center" valign="top">9/8</td>
<td align="center" valign="top">20/14</td>
<td align="center" valign="top">0.69</td>
</tr>
<tr>
<td align="left" valign="top">Smoking/Non-smoking</td>
<td align="center" valign="top">2/15</td>
<td align="center" valign="top">4/30</td>
<td align="center" valign="top">1.00</td>
</tr>
<tr>
<td align="left" valign="top">Drinking/No drinking</td>
<td align="center" valign="top">1/16</td>
<td align="center" valign="top">2/32</td>
<td align="center" valign="top">1.00</td>
</tr>
<tr>
<td align="left" valign="top">APOE &#x03B5;4/Not APOE &#x03B5;4</td>
<td align="center" valign="top">8/9</td>
<td align="center" valign="top">2/31</td>
<td align="center" valign="top">0.002</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-etm-0-0-6524"><p>SBP, systolic blood pressure; DBP, diastolic blood pressure; TG, triglyceride; TC, total cholesterol; HDL, high density lipoprotein; LDL, low density lipoprotein; FBG, fasting plasma glucose.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-etm-0-0-6524" position="float">
<label>Table II.</label>
<caption><p>Genotype and allele frequencies between cases and controls.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">SNP</th>
<th align="center" valign="bottom">Case; control (MM/Mm/mm)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">Case; control (M/m)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">PSEN2 (rs8383, C&#x003E;T)</td>
<td align="center" valign="top">6/6/5; 7/22/5</td>
<td align="center" valign="top">0.12</td>
<td align="center" valign="top">18/16; 36/32</td>
<td align="center" valign="top">1.00</td>
</tr>
<tr>
<td align="left" valign="top">NGF (rs6330, C&#x003E;T)</td>
<td align="center" valign="top">13/4/0; 23/10/1</td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="top">30/4; 56/12</td>
<td align="center" valign="top">0.44</td>
</tr>
<tr>
<td align="left" valign="top">SORL1 (rs1133174, A&#x003E;G)</td>
<td align="center" valign="top">9/2/6; 19/7/8</td>
<td align="center" valign="top">0.57</td>
<td align="center" valign="top">20/14; 45/23</td>
<td align="center" valign="top">0.47</td>
</tr>
<tr>
<td align="left" valign="top">OGG1 (rs1052133, G&#x003E;C)</td>
<td align="center" valign="top">5/8/4; 6/20/8</td>
<td align="center" valign="top">0.60</td>
<td align="center" valign="top">18/16; 32/36</td>
<td align="center" valign="top">0.58</td>
</tr>
<tr>
<td align="left" valign="top">BIN1 (rs744373, T&#x003E;C)</td>
<td align="center" valign="top">5/7/5; 4/19/11</td>
<td align="center" valign="top">0.29</td>
<td align="center" valign="top">17/17; 27/41</td>
<td align="center" valign="top">0.32</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-etm-0-0-6524"><p>NGF, nerve growth factor; SORL1, sortilin-related receptor 1; OGG1, 8-oxoguanine DNA glycosylase 1; BIN1, bridging integrator 1.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-etm-0-0-6524" position="float">
<label>Table III.</label>
<caption><p>Analysis of the interaction between APOE &#x03B5;4 and other variants.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom">Genotype</th>
<th align="center" valign="bottom" colspan="2">APOE &#x03B5;4</th>
<th/>
<th align="center" valign="bottom" colspan="2">Non-APOE &#x03B5;4</th>
<th/>
</tr>
<tr>
<th/>
<th align="center" valign="bottom"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">SNP</th>
<th align="center" valign="bottom">Allele</th>
<th align="center" valign="bottom">Case</th>
<th align="center" valign="bottom">Control</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">Case</th>
<th align="center" valign="bottom">Control</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">NGF</td>
<td align="left" valign="top">CC/CT/TT</td>
<td align="center" valign="top">6/2/0</td>
<td align="center" valign="top">2/0/0</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">7/2/0</td>
<td align="center" valign="top">20/10/1</td>
<td align="center" valign="top">0.763</td>
</tr>
<tr>
<td align="left" valign="top">rs6330</td>
<td align="left" valign="top">C/T</td>
<td align="center" valign="top">14/2</td>
<td align="center" valign="top">4/0</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">16/2</td>
<td align="center" valign="top">50/12</td>
<td align="center" valign="top">0.647</td>
</tr>
<tr>
<td align="left" valign="top">PSEN2</td>
<td align="left" valign="top">CC/CT/TT</td>
<td align="center" valign="top">3/3/2</td>
<td align="center" valign="top">0/1/1</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">3/3/3</td>
<td align="center" valign="top">6/21/4</td>
<td align="center" valign="top">0.156</td>
</tr>
<tr>
<td align="left" valign="top">rs8383</td>
<td align="left" valign="top">C/T</td>
<td align="center" valign="top">9/7</td>
<td align="center" valign="top">1/3</td>
<td align="center" valign="top">0.582</td>
<td align="center" valign="top">9/9</td>
<td align="center" valign="top">33/29</td>
<td align="center" valign="top">0.809</td>
</tr>
<tr>
<td align="left" valign="top">SORL1</td>
<td align="left" valign="top">AA/AG/GG</td>
<td align="center" valign="top">3/4/1</td>
<td align="center" valign="top">0/1/1</td>
<td align="center" valign="top">0.667</td>
<td align="center" valign="top">6/2/1</td>
<td align="center" valign="top">20/6/5</td>
<td align="center" valign="top">1.000</td>
</tr>
<tr>
<td align="left" valign="top">rs1133174</td>
<td align="center" valign="top">A/G</td>
<td align="center" valign="top">10/6</td>
<td align="center" valign="top">1/3</td>
<td align="center" valign="top">0.285</td>
<td align="center" valign="top">14/4</td>
<td align="center" valign="top">46/16</td>
<td align="center" valign="top">1.000</td>
</tr>
<tr>
<td align="left" valign="top">OGG1</td>
<td align="left" valign="top">CC/CG/GG</td>
<td align="center" valign="top">2/3/3</td>
<td align="center" valign="top">0/2/0</td>
<td align="center" valign="top">0.667</td>
<td align="center" valign="top">3/5/1</td>
<td align="center" valign="top">6/18/7</td>
<td align="center" valign="top">0.677</td>
</tr>
<tr>
<td align="left" valign="top">rs1052133</td>
<td align="left" valign="top">C/G</td>
<td align="center" valign="top">7/9</td>
<td align="center" valign="top">2/2</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">11/7</td>
<td align="center" valign="top">30/32</td>
<td align="center" valign="top">0.342</td>
</tr>
<tr>
<td align="left" valign="top">BIN1</td>
<td align="left" valign="top">CC/CT/TT</td>
<td align="center" valign="top">2/5/1</td>
<td align="center" valign="top">0/2/0</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">3/2/2</td>
<td align="center" valign="top">3/17/11</td>
<td align="center" valign="top">0.144</td>
</tr>
<tr>
<td align="left" valign="top">rs744373</td>
<td align="left" valign="top">C/T</td>
<td align="center" valign="top">9/7</td>
<td align="center" valign="top">2/2</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">8/6</td>
<td align="center" valign="top">23/39</td>
<td align="center" valign="top">0.168</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-etm-0-0-6524"><p>NGF, nerve growth factor; SORL1, sortilin-related receptor 1; OGG1, 8-oxoguanine DNA glycosylase 1; BIN1, bridging integrator 1.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-etm-0-0-6524" position="float">
<label>Table IV.</label>
<caption><p>Correlation tests between the DNA methylation and important parameters.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="4">OGG1</th>
<th align="center" valign="bottom" colspan="4">DLST</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="4"><hr/></th>
<th align="center" valign="bottom" colspan="4"><hr/></th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">Case</th>
<th align="center" valign="bottom" colspan="2">Control</th>
<th align="center" valign="bottom" colspan="2">Case</th>
<th align="center" valign="bottom" colspan="2">Control</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Variable</th>
<th align="center" valign="bottom">r</th>
<th align="center" valign="bottom">p</th>
<th align="center" valign="bottom">r</th>
<th align="center" valign="bottom">p</th>
<th align="center" valign="bottom">r</th>
<th align="center" valign="bottom">p</th>
<th align="center" valign="bottom">r</th>
<th align="center" valign="bottom">p</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="9">Total</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;FBG</td>
<td align="center" valign="top">0.309</td>
<td align="center" valign="top">0.228</td>
<td align="center" valign="top">&#x2212;0.285</td>
<td align="center" valign="top">0.113</td>
<td align="center" valign="top">&#x2212;0.336</td>
<td align="center" valign="top">0.187</td>
<td align="center" valign="top">&#x2212;0.081</td>
<td align="center" valign="top">0.648</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;TG</td>
<td align="center" valign="top">&#x2212;0.178</td>
<td align="center" valign="top">0.494</td>
<td align="center" valign="top">0.274</td>
<td align="center" valign="top">0.116</td>
<td align="center" valign="top">&#x2212;0.020</td>
<td align="center" valign="top">0.939</td>
<td align="center" valign="top">0.009</td>
<td align="center" valign="top">0.962</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;TC</td>
<td align="center" valign="top">0.259</td>
<td align="center" valign="top">0.315</td>
<td align="center" valign="top">0.039</td>
<td align="center" valign="top">0.825</td>
<td align="center" valign="top">0.440</td>
<td align="center" valign="top">0.077</td>
<td align="center" valign="top">0.401</td>
<td align="center" valign="top">0.019</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;HDL</td>
<td align="center" valign="top">0.008</td>
<td align="center" valign="top">0.977</td>
<td align="center" valign="top">0.198</td>
<td align="center" valign="top">0.261</td>
<td align="center" valign="top">0.322</td>
<td align="center" valign="top">0.207</td>
<td align="center" valign="top">0.217</td>
<td align="center" valign="top">0.218</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;LDL</td>
<td align="center" valign="top">0.283</td>
<td align="center" valign="top">0.271</td>
<td align="center" valign="top">&#x2212;0.019</td>
<td align="center" valign="top">0.914</td>
<td align="center" valign="top">0.322</td>
<td align="center" valign="top">0.207</td>
<td align="center" valign="top">0.217</td>
<td align="center" valign="top">0.218</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Female</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;FBG</td>
<td align="center" valign="top">0.347</td>
<td align="center" valign="top">0.326</td>
<td align="center" valign="top">&#x2212;0.458</td>
<td align="center" valign="top">0.064</td>
<td align="center" valign="top">&#x2212;0.623</td>
<td align="center" valign="top">0.055</td>
<td align="center" valign="top">0.156</td>
<td align="center" valign="top">0.550</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;TG</td>
<td align="center" valign="top">&#x2212;0.197</td>
<td align="center" valign="top">0.586</td>
<td align="center" valign="top">0.198</td>
<td align="center" valign="top">0.447</td>
<td align="center" valign="top">0.197</td>
<td align="center" valign="top">0.586</td>
<td align="center" valign="top">&#x2212;0.014</td>
<td align="center" valign="top">0.957</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;TC</td>
<td align="center" valign="top">0.282</td>
<td align="center" valign="top">0.430</td>
<td align="center" valign="top">&#x2212;0.033</td>
<td align="center" valign="top">0.899</td>
<td align="center" valign="top">0.241</td>
<td align="center" valign="top">0.552</td>
<td align="center" valign="top">0.444</td>
<td align="center" valign="top">0.074</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;HDL</td>
<td align="center" valign="top">&#x2212;0.357</td>
<td align="center" valign="top">0.312</td>
<td align="center" valign="top">0.247</td>
<td align="center" valign="top">0.338</td>
<td align="center" valign="top">0.463</td>
<td align="center" valign="top">0.178</td>
<td align="center" valign="top">0.163</td>
<td align="center" valign="top">0.533</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;LDL</td>
<td align="center" valign="top">0.464</td>
<td align="center" valign="top">0.177</td>
<td align="center" valign="top">0.051</td>
<td align="center" valign="top">0.845</td>
<td align="center" valign="top">0.111</td>
<td align="center" valign="top">0.760</td>
<td align="center" valign="top">0.145</td>
<td align="center" valign="top">0.579</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Male</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;FBG</td>
<td align="center" valign="top">0.635</td>
<td align="center" valign="top">0.125</td>
<td align="center" valign="top">0.006</td>
<td align="center" valign="top">0.983</td>
<td align="center" valign="top">0.208</td>
<td align="center" valign="top">0.654</td>
<td align="center" valign="top">&#x2212;0.294</td>
<td align="center" valign="top">0.252</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;TG</td>
<td align="center" valign="top">&#x2212;0.247</td>
<td align="center" valign="top">0.593</td>
<td align="center" valign="top">0.325</td>
<td align="center" valign="top">0.203</td>
<td align="center" valign="top">&#x2212;0.194</td>
<td align="center" valign="top">0.676</td>
<td align="center" valign="top">&#x2212;0.091</td>
<td align="center" valign="top">0.730</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;TC</td>
<td align="center" valign="top">0.382</td>
<td align="center" valign="top">0.398</td>
<td align="center" valign="top">0.279</td>
<td align="center" valign="top">0.278</td>
<td align="center" valign="top">0.675</td>
<td align="center" valign="top">0.096</td>
<td align="center" valign="top">0.396</td>
<td align="center" valign="top">0.116</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;HDL</td>
<td align="center" valign="top">0.110</td>
<td align="center" valign="top">0.814</td>
<td align="center" valign="top">0.093</td>
<td align="center" valign="top">0.721</td>
<td align="center" valign="top">0.662</td>
<td align="center" valign="top">0.105</td>
<td align="center" valign="top">0.252</td>
<td align="center" valign="top">0.328</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;LDL</td>
<td align="center" valign="top">0.255</td>
<td align="center" valign="top">0.628</td>
<td align="center" valign="top">&#x2212;0.120</td>
<td align="center" valign="top">0.645</td>
<td align="center" valign="top">0.511</td>
<td align="center" valign="top">0.241</td>
<td align="center" valign="top">0.242</td>
<td align="center" valign="top">0.349</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn4-etm-0-0-6524"><p><italic>OGG1</italic>, 8-oxoguanine DNA glycosylase 1; DLST, dihydrolipoamide succinyltransferase; FBG, fasting plasma glucose; TG, triglyceride; TC, total cholesterol; HDL, high density lipoprotein; LDL, low density lipoprotein.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tV-etm-0-0-6524" position="float">
<label>Table V.</label>
<caption><p>Correlation tests between age and methylation levels of OGG1 and DLST.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="4">OGG1</th>
<th align="center" valign="bottom" colspan="4">DLST</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="4"><hr/></th>
<th align="center" valign="bottom" colspan="4"><hr/></th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">Case</th>
<th align="center" valign="bottom" colspan="2">Control</th>
<th align="center" valign="bottom" colspan="2">Case</th>
<th align="center" valign="bottom" colspan="2">Control</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Age</th>
<th align="center" valign="bottom">r</th>
<th align="center" valign="bottom">p</th>
<th align="center" valign="bottom">r</th>
<th align="center" valign="bottom">p</th>
<th align="center" valign="bottom">r</th>
<th align="center" valign="bottom">p</th>
<th align="center" valign="bottom">r</th>
<th align="center" valign="bottom">p</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="9">Total</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Methylation level</td>
<td align="center" valign="top">&#x2212;0.079</td>
<td align="center" valign="top">0.763</td>
<td align="center" valign="top">&#x2212;0.018</td>
<td align="center" valign="top">0.921</td>
<td align="center" valign="top">0.187</td>
<td align="center" valign="top">0.472</td>
<td align="center" valign="top">&#x2212;0.414</td>
<td align="center" valign="top">0.015</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Female</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Methylation level</td>
<td align="center" valign="top">&#x2212;0.753</td>
<td align="center" valign="top">0.012</td>
<td align="center" valign="top">0.236</td>
<td align="center" valign="top">0.362</td>
<td align="center" valign="top">0.203</td>
<td align="center" valign="top">0.574</td>
<td align="center" valign="top">&#x2212;0.076</td>
<td align="center" valign="top">0.771</td>
</tr>
<tr>
<td align="left" valign="top" colspan="9">Male</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Methylation level</td>
<td align="center" valign="top">0.762</td>
<td align="center" valign="top">0.046</td>
<td align="center" valign="top">&#x2212;0.282</td>
<td align="center" valign="top">0.273</td>
<td align="center" valign="top">0.246</td>
<td align="center" valign="top">0.595</td>
<td align="center" valign="top">&#x2212;0.607</td>
<td align="center" valign="top">0.010</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn5-etm-0-0-6524"><p>Bold font represents positive results (P&#x003C;0.05). OGG1, 8-oxoguanine DNA glycosylase 1; DLST, dihydrolipoamide succinyltransferase</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
