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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">87</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:A116C711-4C18-5A38-8F1E-5E97753A8A64</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Folia Medica</journal-title>
        <abbrev-journal-title xml:lang="en">FM</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0204-8043</issn>
      <issn pub-type="epub">1314-2143</issn>
      <publisher>
        <publisher-name>Plovdiv Medical University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/folmed.65.e81316</article-id>
      <article-id pub-id-type="publisher-id">81316</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Clinical laboratory &amp; Analytics</subject>
          <subject>Molecular biology</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Evaluation of the relationship between insulin resistance and 8-iso prostaglandin levels in obesity children</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Demirhan</surname>
            <given-names>Ilter</given-names>
          </name>
          <email xlink:type="simple">ilterdemirhan@gmail.com</email>
          <uri content-type="orcid">https://orcid.org/0000-0003-0054-7893</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Oner</surname>
            <given-names>Erkan</given-names>
          </name>
          <email xlink:type="simple">erkanoner0803@gmail.com</email>
          <uri content-type="orcid">https://orcid.org/0000-0002-6332-6484</uri>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Kurutas</surname>
            <given-names>Ergul Belge</given-names>
          </name>
          <email xlink:type="simple">ergulkurutas@gmail.com</email>
          <uri content-type="orcid">https://orcid.org/0000-0002-6653-4801</uri>
          <xref ref-type="aff" rid="A3">3</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Vocational School of Health Services, Department of Electronics and Automation, Biomedical Device Technology Program, Harran University, Sanliurfa, Turkey</addr-line>
        <institution>Harran University</institution>
        <addr-line content-type="city">Sanliurfa</addr-line>
        <country>Turkiye</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Department of Biochemistry, Faculty of Pharmacy, Adıyaman University, Adıyaman, Turkey</addr-line>
        <institution>Adıyaman University</institution>
        <addr-line content-type="city">Adıyaman</addr-line>
        <country>Turkiye</country>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">Department of Medical Biochemistry, Faculty of Medicine, Sutcu Imam University, Kahramanmaras, Turkey</addr-line>
        <institution>Sutcu Imam University</institution>
        <addr-line content-type="city">Kahramanmaras</addr-line>
        <country>Turkiye</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Ilter Demirhan, University of Harran, Vocational School of Health Services, Yenisehir Campus, Sanliurfa, Turkey; Email: <email xlink:type="simple">ilterdemirhan@gmail.com</email>; Tel.: 0090-505 558 287</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>31</day>
        <month>08</month>
        <year>2023</year>
      </pub-date>
      <volume>65</volume>
      <issue>4</issue>
      <fpage>589</fpage>
      <lpage>596</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/2F810E44-EE0D-5303-A779-97FF0AAEC5FB">2F810E44-EE0D-5303-A779-97FF0AAEC5FB</uri>
      <history>
        <date date-type="received">
          <day>27</day>
          <month>01</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>18</day>
          <month>04</month>
          <year>2022</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Ilter Demirhan, Erkan Oner, Ergul Belge Kurutas</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p><bold>Introduction</bold>: The rising rate of childhood obesity and the serious health problems it causes are gaining increasing attention in medical research and health policy.</p>
        <p><bold>Aim</bold>: This study aimed to evaluate the relationship between insulin resistance and the oxidative stress biomarker 8-iso-prostaglandin F<sub>2α</sub> levels in obese children.</p>
        <p><bold>Materials and methods</bold>: Forty-four children in total (21 boys and 23 girls) aged between 6 and 15 years and diagnosed with obesity who attended the Pediatric Endocrinology Unit between December 2020 and June 21 were enrolled in our study. Forty children (20 boys and 20 girls) without systemic diseases were selected as controls. From the percentile curves determined for Turkish children, percentile values of obese children and control group were calculated based on sex and age. In addition, the insulin resistance values (<abbrev xlink:title="Homeostasis model assessment" id="ABBRID0E6D">HOMA</abbrev>-IR) in the homeostasis model were calculated. The relationship between the variables was examined with the Pearson and Spearman correlation tests. Children between the 5th and 85th percentile were defined as the control group, and those above the 95th percentile were defined as the obese group. Systolic and diastolic blood pressure, triglyceride, total cholesterol, LDL cholesterol, HDL cholesterol, fasting blood sugar (glucose), insulin, and 8-iso-PGF<sub>2α</sub> concentrations were measured in all children included in the study.</p>
        <p><bold>Results</bold>: There were significant differences between the two groups in terms of age, body mass index, and systolic and diastolic blood pressures (<italic>p</italic>&lt;0.05). Glucose, triglyceride, insulin, 8-iso-PGF<sub>2α</sub> and <abbrev xlink:title="Homeostasis model assessment" id="ABBRID0ENE">HOMA</abbrev>-IR levels were found to be statistically significantly higher in obese children than the levels in the control group (<italic>p</italic>&lt;0.05). In addition, significant positive correlations were found between insulin levels and glucose, triglyceride and <abbrev xlink:title="Homeostasis model assessment" id="ABBRID0ETE">HOMA</abbrev>-IR values in obese patients (<italic>p</italic>&lt;0.05). In obese children, 8-iso-PGF<sub>2α</sub> concentrations were found to be statistically significantly higher than those in the control group (<italic>p</italic>&lt;0.01). ROC analysis had a good diagnostic value for 8-iso-PGF<sub>2α</sub> where the area under the curve was 1.0. A direct, positive, statistically significant correlation was found between insulin resistance and the 8-iso-PGF<sub>2α</sub> values (<italic>r</italic>=0.420, <italic>p</italic>=0.037).</p>
        <p><bold>Conclusions</bold>: 8-iso-PGF<sub>2α</sub> concentrations were found to be higher in obese children than in the control group. It was observed that increased insulin resistance raised 8-iso-PGF<sub>2α</sub> levels. 8-iso-PGF<sub>2α</sub> is thought to be particularly important for the diagnosis and treatment of these patients, with 99% sensitivity and specificity.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>8-iso-PGF<sub>2α</sub></kwd>
        <kwd>childhood obesity</kwd>
        <kwd>oxidative stress</kwd>
        <kwd>pediatric</kwd>
      </kwd-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="SECID0EYF">
        <title>Citation</title>
        <p>Demirhan I, Oner E, Kurutas EB. Evaluation of the relationship between insulin resistance and 8-iso prostaglandin levels in obesity children. Folia Med (Plovdiv) 2023;65(4):589-596. doi: <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/folmed.65.e81316">10.3897/folmed.65.e81316</ext-link>.</p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="Introduction" id="SECID0EEG">
      <title>Introduction</title>
      <p>Obesity is defined as an increase in energy intake over energy expenditure and an increase in fat tissue in the body. Excessive energy intake causes the accumulation of adipose tissue in the body. Today, obesity is considered among the diseases that carry the most important risk of mortality and morbidity, together with the complications it brings. The World Health Organization (WHO) has ranked obesity in first place among the most important diseases.<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup> It is known that obesity causes a number of diseases, such as cardiovascular diseases, insulin resistance, oxidative stress, and dyslipidemia. An increased body mass index (<abbrev xlink:title="body mass index" id="ABBRID0ERG">BMI</abbrev>) poses a serious risk to body health, and those with a <abbrev xlink:title="body mass index" id="ABBRID0EVG">BMI</abbrev> above 30 are considered obese. Obesity directly leads to insulin resistance, increasing insulin levels in the blood.<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup> The need for more insulin to produce a normal biological response is called insulin resistance. Insulin resistance has been demonstrated in almost all type 2 diabetes patients.<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup></p>
      <p>Obesity has become a major health concern for both children and adults as a result of factors such as improved economic conditions, increased consumption of ready-made foods in recent years, children spending more time at home due to technological advancements, shrinking playgrounds, and climate change.<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup> According to some reports, one-third of obese children grow up to be obese adults. Furthermore, different disorders are observed in these people at an adult age. One of the issues that the health community is most concerned about is the fact that childhood obesity will rise in the twenty-first century.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup></p>
      <p>Obesity has become more prevalent in Western societies, according to studies conducted on children aged 6 to 19.<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup> While the prevalence of being overweight is 13.9% on average in the children of our country, it has been reported that the average prevalence of obesity is 4.8%.<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup> However, a study on children in Turkey found that obesity was increasing in both sexes.<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup> Childhood obesity can be said to be attributed to genetic and familial factors, psychological factors, a sedentary lifestyle, and poor eating habits.<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup> Fatigue, difficulty in breathing, and extremity pain are observed in very few of obese children. It is observed that they have a high appetite, they eat carbohydrate and fat-based diets, and they are reluctant to consume fruit and vegetables.<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup></p>
      <p>Reactive oxygen species (<abbrev xlink:title="Reactive oxygen species" id="ABBRID0E3AAC">ROS</abbrev>) play a role in the pathophysiology of many diseases, including cardiovascular diseases, obesity, type 2 diabetes, and atherogenic mechanisms. It is stated that oxidative stress is associated with the formation of adipose tissue, which contributes to the development of obesity and metabolic syndrome.‌<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup> The level of antioxidant capacity decreases with obesity and the increase in adipose tissue.<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup> In obesity, mechanical work force and myocardial mechanism increase and oxygen consumption accelerates. Increasing oxygen consumption accelerates the formation of <abbrev xlink:title="Reactive oxygen species" id="ABBRID0EOBAC">ROS</abbrev>.<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup> Isoprostanes are products formed by the nonenzymatic peroxidation of polyunsaturated fatty acids such as arachidonic acid induced by free radicals. Isoprostane and prostaglandins are called 8-iso prostaglandin F<sub>2α</sub> because they are isomers of prostaglandin F<sub>2α</sub> formed by cyclooxygenase.<sup>[<xref ref-type="bibr" rid="B13">13</xref>]</sup> 8-iso-PGF<sub>2α</sub> has been measured as an indicator of lipid peroxidation in various body fluids such as urine, blood, bile, pericardial fluid, cerebrospinal fluid, and in tissues such as the brain and liver.<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup> 8-iso-PGF<sub>2α</sub>, an indicator of oxidative stress and lipid peroxidation, has been studied in cardiovascular diseases, lung diseases and neurodegenerative diseases.<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup></p>
    </sec>
    <sec sec-type="Aim" id="SECID0EVCAC">
      <title>Aim</title>
      <p>The study aimed to evaluate the relationship between insulin resistance and the oxidative stress biomarker 8-iso-PGF<sub>2α</sub> levels in obese children in our country where parent-child association is high.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0E4CAC">
      <title>Materials and methods</title>
      <p>The study included 44 children, 21 boys and 23 girls, between the ages of 6 and 15, with obesity-related diagnoses who attended the Faculty of Medicine Pediatric Endocrinology Department at Kahramanmaras Sutcu Imam University between December 2020 and June 2021. The control group consisted of 40 children (20 boys and 20 girls) who were free of any systemic diseases.</p>
      <sec sec-type="Collection and storage of samples" id="SECID0ECDAC">
        <title>Collection and storage of samples</title>
        <p>Venous blood samples taken from the children in the patient and control groups in the morning after 8-12 hours of fasting were placed in tubes that did not contain anticoagulant substances. Then, the blood samples were centrifuged at 4000 rpm for ten minutes and their serum was separated with a Hettich centrifuge device. Glucose, triglyceride, total cholesterol, HDL cholesterol, and insulin analyses were performed. Furthermore, a sufficient amount of serum samples were separated for 8-iso PGF<sub>2α</sub> analysis and stored in a deep freezer at −80°C until analysis.</p>
      </sec>
      <sec sec-type="Anthropometric measurements" id="SECID0EKDAC">
        <title>Anthropometric measurements</title>
        <p>Systolic and diastolic blood pressure measurements were made with an Oncomed brand sphygmomanometer on the right arm in a sitting position after 10 minutes of rest. Using height and weight measurements, percentile values of the control group and obese children were calculated according to sex and age. Homeostasis model assessment (<abbrev xlink:title="Homeostasis model assessment" id="ABBRID0EQDAC">HOMA</abbrev>) was used to determine insulin resistance.<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup></p>
        <p>
          <inline-graphic xlink:href="foliamedica-65-4-e81316-i001.jpg" id="oo_898528.jpg"/>
        </p>
      </sec>
      <sec sec-type="Biochemical measurements" id="SECID0EAEAC">
        <title>Biochemical measurements</title>
        <p>For the analysis of serum 8-iso-PGF<sub>2α</sub> level, 8-iso-PGF<sub>2α</sub> commercial kit (Cayman, USA, catalog No. 514638.2) enzyme immunoassay method was performed by ELISA using a 50-μl sample. The measurement principle is based on competitive enzyme immunoassay. Reagents were pipetted in the indicated amounts according to the experimental procedure. After pipetting, the test plate was covered and incubated at 4ºC for 18 hours. After 18 hours, the plate was washed 5 times with the prepared washing solution. 200 µl of Ellman’s reagent solution was pipetted into all wells. The test plate was covered and incubated for 120 minutes on an orbital shaker at room temperature. At the end of the period, the test plate was read at a wavelength of 405-420 nm. The results of 8-iso-PGF<sub>2α</sub> were expressed as pg/ml. Moreover, glucose, triglyceride, total cholesterol, and HDL-cholesterol concentrations were measured by enzymatic colorimetric methods on a synchron LX 20 analyzer (Beckman Coulter, USA) using original Beckman kits. The LDL-cholesterol levels were calculated with the Friedewald formula as follows:</p>
        <p>Total cholesterol (mg/dl) = HDL-cholesterol + VLDL ([Trig]/5) + LDL-cholesterol</p>
      </sec>
      <sec sec-type="Statistical analysis" id="SECID0ENEAC">
        <title>Statistical analysis</title>
        <p>SPSS 15.0 statistical package program was used in the statistical evaluation of the findings. Independent <italic>t</italic>-test was performed for total cholesterol and LDL cholesterol. the Mann-Whitney U test, one of the nonparametric tests, was used for parameters that did not show normal distribution (blood pressure, serum glucose, triglyceride, HDL-cholesterol, 8-iso-PGF<sub>2α</sub>, and <abbrev xlink:title="Homeostasis model assessment" id="ABBRID0EXEAC">HOMA</abbrev>-IR indices). Relationships between parameters were evaluated in pairs with the Spearman correlation analysis. A value of <italic>p</italic>&lt;0.05 was considered statistically significant.</p>
      </sec>
    </sec>
    <sec sec-type="Results" id="SECID0E4EAC">
      <title>Results</title>
      <p>Considering the descriptive values, when the obese child and control groups were compared, it was seen that there was no difference between the two groups in terms of sex distribution and age. It was found that the height and weight of the obese children were significantly higher than those in the control group <bold>(Table <xref ref-type="table" rid="T1">1</xref>)</bold>.</p>
      <p>Significant differences were observed between the two groups in terms of age, body mass index, and systolic and diastolic blood pressures (<italic>p</italic>&lt;0.05). The systolic and diastolic blood pressure of the obesity and control groups are presented in <bold>Table <xref ref-type="table" rid="T7">7</xref></bold>. The lipid profiles of obese children and control groups were compared and TG, TC, and LDL values were found to be significantly higher in obese children compared to the control group, while HDL values were found to be significantly lower than the respective values in the control group <bold>(Table <xref ref-type="table" rid="T2">2</xref>)</bold>.</p>
      <p>Obese children and control groups were compared in terms of 8-iso-PGF<sub>2α</sub> levels which were found to be significantly higher in obese children than in the control group <bold>(Table <xref ref-type="table" rid="T3">3</xref>)</bold>.</p>
      <p>A moderate correlation was found between <abbrev xlink:title="Homeostasis model assessment" id="ABBRID0EIGAC">HOMA</abbrev> and 8-iso-PGF<sub>2α</sub> levels in obese children <bold>(Fig. <xref ref-type="fig" rid="F1">1</xref>)</bold>.</p>
      <p>When obese children and control groups were compared in terms of <abbrev xlink:title="body mass index" id="ABBRID0EXGAC">BMI</abbrev> and 8-iso-PGF<sub>2α</sub> levels, <abbrev xlink:title="body mass index" id="ABBRID0E4GAC">BMI</abbrev> and 8-iso-PGF<sub>2α</sub> values of obese children (32.03±4.53) were found to be significantly higher (<italic>p</italic>&gt;0.001) compared to those in the control group (17.10±2.32) <bold>(Fig. <xref ref-type="fig" rid="F2">2</xref>)</bold>.</p>
      <p>Relationships between descriptive values, routine, and biochemical parameters were also examined in all children, and accordingly, a significant positive correlation was found with children’s TG, HOMAR, <abbrev xlink:title="body mass index" id="ABBRID0EOHAC">BMI</abbrev>, glucose, LDL, TC, and 8-iso-PGF<sub>2α</sub> levels. HDL and insulin levels were found to be significantly negatively correlated. The Spearman correlation analysis between groups is shown in <bold>Table <xref ref-type="table" rid="T4">4</xref></bold>.</p>
      <p>Since <italic>p</italic>&lt;0.05, it was determined that the correlation coefficient was significant. <bold>Table <xref ref-type="table" rid="T5">5</xref></bold> shows that 8-iso-PGF<sub>2α</sub> levels are highly positively correlated with the control group and obesity.</p>
      <p>Our ROC analysis showed that the measurement of 8-iso-PGF<sub>2α</sub> showed a high level of accuracy (AUC=0.966) and a sensitivity of 100%, making it appropriate to trust it <bold>(Fig. <xref ref-type="fig" rid="F3">3</xref></bold>, <bold>Table <xref ref-type="table" rid="T6">6</xref>)</bold>.</p>
      <table-wrap id="T1" position="float" orientation="portrait">
        <label>Table 1.</label>
        <caption>
          <p>Descriptive values of the obese and control groups</p>
        </caption>
        <table id="TID0E1JAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>Obese children N=44</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Control group N=40</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Sex</td>
              <td rowspan="1" colspan="1">23 (G), 21 (B)</td>
              <td rowspan="1" colspan="1">20 (G), 20 (B)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Age</td>
              <td rowspan="1" colspan="1">10.5±4.5</td>
              <td rowspan="1" colspan="1">10.7±3.48</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Height (cm)</td>
              <td rowspan="1" colspan="1">141.2±12.5</td>
              <td rowspan="1" colspan="1">135.1±15.3</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Weight (kg)</td>
              <td rowspan="1" colspan="1">68.6±18.4</td>
              <td rowspan="1" colspan="1">35.7±12.2</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="T2" position="float" orientation="portrait">
        <label>Table 2.</label>
        <caption>
          <p>Routine values of obese and control groups</p>
        </caption>
        <table id="TID0EBNAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Parameters</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Control</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Obesity</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>p</italic>
                </bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">HOMAR</td>
              <td rowspan="1" colspan="1">2.15±0.76</td>
              <td rowspan="1" colspan="1">7.51±2.11</td>
              <td rowspan="1" colspan="1">&lt;0.05</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <abbrev xlink:title="body mass index" id="ABBRID0EYJAE">BMI</abbrev>
              </td>
              <td rowspan="1" colspan="1">17.10±2.32</td>
              <td rowspan="1" colspan="1">32.02±4.53</td>
              <td rowspan="1" colspan="1">&lt;0.05</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Glucose (mg/dL)</td>
              <td rowspan="1" colspan="1">81.50±7.78</td>
              <td rowspan="1" colspan="1">112.30±12.73</td>
              <td rowspan="1" colspan="1">&lt;0.05</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Cholesterol</td>
              <td rowspan="1" colspan="1">121.18±16.42</td>
              <td rowspan="1" colspan="1">150.27±37.07</td>
              <td rowspan="1" colspan="1">&lt;0.05</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Insulin (µU/dL)</td>
              <td rowspan="1" colspan="1">26±8.17</td>
              <td rowspan="1" colspan="1">15.98±7.14</td>
              <td rowspan="1" colspan="1">&lt;0.001</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Triglyceride (mg/dL)</td>
              <td rowspan="1" colspan="1">73.58±9.25</td>
              <td rowspan="1" colspan="1">116.32±14.92</td>
              <td rowspan="1" colspan="1">&lt;0.001</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">HDL (mg/dL)</td>
              <td rowspan="1" colspan="1">46.55±7.95</td>
              <td rowspan="1" colspan="1">35.09±7.96</td>
              <td rowspan="1" colspan="1">&lt;0.05</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">LDL (mg/dL)</td>
              <td rowspan="1" colspan="1">93.48±10.84</td>
              <td rowspan="1" colspan="1">118.55±20.23</td>
              <td rowspan="1" colspan="1">&lt;0.05</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="T3" position="float" orientation="portrait">
        <label>Table 3.</label>
        <caption>
          <p>Values of 8-iso prostaglandin belonging to the control and obese groups</p>
        </caption>
        <table id="TID0ENTAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>Control</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Obesity</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>p</italic>
                </bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">8-iso prostaglandin</td>
              <td rowspan="1" colspan="1">10.29±1.23</td>
              <td rowspan="1" colspan="1">27.15±8.41</td>
              <td rowspan="1" colspan="1">&lt;0.05</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <fig id="F1" position="float" orientation="portrait">
        <object-id content-type="arpha">DA8DFD1B-C11A-5169-9DC3-9BCBF86B2E1B</object-id>
        <label>Figure 1.</label>
        <caption>
          <p>Relationship between HOMAR and 8-iso prostaglandin: scatter plot chart.</p>
        </caption>
        <graphic xlink:href="foliamedica-65-4-e81316-g001.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_898525.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/898525</uri>
        </graphic>
      </fig>
      <fig id="F2" position="float" orientation="portrait">
        <object-id content-type="arpha">B2ABE8AE-7015-5701-8937-B6986C3F036D</object-id>
        <label>Figure 2.</label>
        <caption>
          <p>8-iso prostaglandin boxplot plot according to <abbrev xlink:title="body mass index" id="ABBRID0EZOAE">BMI</abbrev> values.</p>
        </caption>
        <graphic xlink:href="foliamedica-65-4-e81316-g002.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_898526.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/898526</uri>
        </graphic>
      </fig>
      <table-wrap id="T4" position="float" orientation="portrait">
        <label>Table 4.</label>
        <caption>
          <p>Spearman correlation analysis between groups</p>
        </caption>
        <table id="TID0EWWAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>HOMAR</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>
                  <abbrev xlink:title="body mass index" id="ABBRID0EBQAE">BMI</abbrev>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Glucose</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Cholesterol</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Insulin</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Triglyceride</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>HDL</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>LDL</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>ISO</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">HOMAR</td>
              <td rowspan="1" colspan="1">
                <italic>r</italic>
              </td>
              <td rowspan="1" colspan="1">1.000</td>
              <td rowspan="1" colspan="1">0.738</td>
              <td rowspan="1" colspan="1">0.776</td>
              <td rowspan="1" colspan="1">0.362</td>
              <td rowspan="1" colspan="1">−0.417</td>
              <td rowspan="1" colspan="1">0.771</td>
              <td rowspan="1" colspan="1">0.505</td>
              <td rowspan="1" colspan="1">0.539</td>
              <td rowspan="1" colspan="1">0.722</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>p</italic>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.001</td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.003</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">
                <abbrev xlink:title="body mass index" id="ABBRID0E3TAE">BMI</abbrev>
              </td>
              <td rowspan="1" colspan="1">
                <italic>r</italic>
              </td>
              <td rowspan="1" colspan="1">0.738</td>
              <td rowspan="1" colspan="1">1.000</td>
              <td rowspan="1" colspan="1">0.780</td>
              <td rowspan="1" colspan="1">0.445</td>
              <td rowspan="1" colspan="1">−0.444</td>
              <td rowspan="1" colspan="1">0.754</td>
              <td rowspan="1" colspan="1">−0.458</td>
              <td rowspan="1" colspan="1">0.518</td>
              <td rowspan="1" colspan="1">0.788</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>p</italic>
              </td>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.005</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.001</td>
              <td rowspan="1" colspan="1">0.005</td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.003</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Glucose</td>
              <td rowspan="1" colspan="1">
                <italic>r</italic>
              </td>
              <td rowspan="1" colspan="1">0.776</td>
              <td rowspan="1" colspan="1">0.780</td>
              <td rowspan="1" colspan="1">1.000</td>
              <td rowspan="1" colspan="1">0.304</td>
              <td rowspan="1" colspan="1">−0.426</td>
              <td rowspan="1" colspan="1">0.694</td>
              <td rowspan="1" colspan="1">−0.447</td>
              <td rowspan="1" colspan="1">0.584</td>
              <td rowspan="1" colspan="1">0.803</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>p</italic>
              </td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1">0.005</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.008</td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.001</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Cholesterol</td>
              <td rowspan="1" colspan="1">
                <italic>r</italic>
              </td>
              <td rowspan="1" colspan="1">0.362</td>
              <td rowspan="1" colspan="1">0.445</td>
              <td rowspan="1" colspan="1">0.304</td>
              <td rowspan="1" colspan="1">1.000</td>
              <td rowspan="1" colspan="1">−0.364</td>
              <td rowspan="1" colspan="1">0.441</td>
              <td rowspan="1" colspan="1">−0.320</td>
              <td rowspan="1" colspan="1">0.179</td>
              <td rowspan="1" colspan="1">0.333</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>p</italic>
              </td>
              <td rowspan="1" colspan="1">0.001</td>
              <td rowspan="1" colspan="1">0.005</td>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.008</td>
              <td rowspan="1" colspan="1">0.009</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1">0.005</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Insulin</td>
              <td rowspan="1" colspan="1">
                <italic>r</italic>
              </td>
              <td rowspan="1" colspan="1">−0.417</td>
              <td rowspan="1" colspan="1">−0.444</td>
              <td rowspan="1" colspan="1">−0.426</td>
              <td rowspan="1" colspan="1">−0.364</td>
              <td rowspan="1" colspan="1">1.000</td>
              <td rowspan="1" colspan="1">−0.431</td>
              <td rowspan="1" colspan="1">0.397</td>
              <td rowspan="1" colspan="1">−0.188</td>
              <td rowspan="1" colspan="1">−0.421</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>p</italic>
              </td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.005</td>
              <td rowspan="1" colspan="1">0.008</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.005</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1">0.002</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Triglyceride</td>
              <td rowspan="1" colspan="1">
                <italic>r</italic>
              </td>
              <td rowspan="1" colspan="1">0.771</td>
              <td rowspan="1" colspan="1">0.754</td>
              <td rowspan="1" colspan="1">0.694</td>
              <td rowspan="1" colspan="1">0.441</td>
              <td rowspan="1" colspan="1">−0.431</td>
              <td rowspan="1" colspan="1">1.000</td>
              <td rowspan="1" colspan="1">−0.566</td>
              <td rowspan="1" colspan="1">0.499</td>
              <td rowspan="1" colspan="1">0.725</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>p</italic>
              </td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.001</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.009</td>
              <td rowspan="1" colspan="1">0.005</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1">0.002</td>
              <td rowspan="1" colspan="1">0.003</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">HDL</td>
              <td rowspan="1" colspan="1">
                <italic>r</italic>
              </td>
              <td rowspan="1" colspan="1">−0.505</td>
              <td rowspan="1" colspan="1">−0.458</td>
              <td rowspan="1" colspan="1">−0.447</td>
              <td rowspan="1" colspan="1">−0.320</td>
              <td rowspan="1" colspan="1">0.397</td>
              <td rowspan="1" colspan="1">−0.566</td>
              <td rowspan="1" colspan="1">1.000</td>
              <td rowspan="1" colspan="1">−0.248</td>
              <td rowspan="1" colspan="1">−0.439</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>p</italic>
              </td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.005</td>
              <td rowspan="1" colspan="1">0.008</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.007</td>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.002</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">LDL</td>
              <td rowspan="1" colspan="1">
                <italic>r</italic>
              </td>
              <td rowspan="1" colspan="1">0.539</td>
              <td rowspan="1" colspan="1">0.518</td>
              <td rowspan="1" colspan="1">0.584</td>
              <td rowspan="1" colspan="1">0.179</td>
              <td rowspan="1" colspan="1">−0.188</td>
              <td rowspan="1" colspan="1">0.499</td>
              <td rowspan="1" colspan="1">−0.248</td>
              <td rowspan="1" colspan="1">1.000</td>
              <td rowspan="1" colspan="1">0.562</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>p</italic>
              </td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1">0.006</td>
              <td rowspan="1" colspan="1">0.002</td>
              <td rowspan="1" colspan="1">0.004</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.005</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">8-iso-prostaglandin</td>
              <td rowspan="1" colspan="1">
                <italic>r</italic>
              </td>
              <td rowspan="1" colspan="1">0.722</td>
              <td rowspan="1" colspan="1">0.788</td>
              <td rowspan="1" colspan="1">0.803</td>
              <td rowspan="1" colspan="1">0.333</td>
              <td rowspan="1" colspan="1">−0.421</td>
              <td rowspan="1" colspan="1">0.725</td>
              <td rowspan="1" colspan="1">−0.439</td>
              <td rowspan="1" colspan="1">−0.562</td>
              <td rowspan="1" colspan="1">1.000</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <italic>p</italic>
              </td>
              <td rowspan="1" colspan="1">0.003</td>
              <td rowspan="1" colspan="1">0.003</td>
              <td rowspan="1" colspan="1">0.001</td>
              <td rowspan="1" colspan="1">0.002</td>
              <td rowspan="1" colspan="1">0.003</td>
              <td rowspan="1" colspan="1">0.002</td>
              <td rowspan="1" colspan="1">0.002</td>
              <td rowspan="1" colspan="1">0.005</td>
              <td rowspan="1" colspan="1"/>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p><italic>r</italic>: correlation coefficient</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="T5" position="float" orientation="portrait">
        <label>Table 5.</label>
        <caption>
          <p>Pearson Correlations 8-Iso-prostaglandin F<sub>2α</sub></p>
        </caption>
        <table id="TID0EKUAG" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="2"/>
              <td rowspan="1" colspan="1">
                <bold>Control</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Obesity</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Control</td>
              <td rowspan="1" colspan="1">Pearson correlation</td>
              <td rowspan="1" colspan="1">1</td>
              <td rowspan="1" colspan="1">0.914</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">p</td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.009</td>
            </tr>
            <tr>
              <td rowspan="2" colspan="1">Obesity</td>
              <td rowspan="1" colspan="1">Pearson correlation</td>
              <td rowspan="1" colspan="1">0.914</td>
              <td rowspan="1" colspan="1">1</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">p</td>
              <td rowspan="1" colspan="1">0.009</td>
              <td rowspan="1" colspan="1"/>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>** Correlation is significant at the 0.01 level (2-tailed); (<italic>r</italic>=0.914, <italic>p</italic>=0.009)</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <fig id="F3" position="float" orientation="portrait">
        <object-id content-type="arpha">A137053A-AAE8-588C-AC08-CB9A18112BCA</object-id>
        <label>Figure 3.</label>
        <caption>
          <p>ROC curves for the obesity and control dimensions of 8-iso-prostaglandin F<sub>2α</sub>. AUC: area under the curve; ROC: receiver-operating characteristic</p>
        </caption>
        <graphic xlink:href="foliamedica-65-4-e81316-g003.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_898527.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/898527</uri>
        </graphic>
      </fig>
      <table-wrap id="T6" position="float" orientation="portrait">
        <label>Table 6.</label>
        <caption>
          <p>ROC curves value for the obesity and control dimensions of 8-iso-prostaglandin F<sub>2α</sub></p>
        </caption>
        <table id="TID0EAZAG" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1"><bold>Risk factor AUC 95</bold>%</td>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>p</italic>
                </bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Cut-off</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Sensitivity (%)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Specificity</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">0.966 (0.927-1.00)</td>
              <td rowspan="1" colspan="1">0.020</td>
              <td rowspan="1" colspan="1">8.63</td>
              <td rowspan="1" colspan="1">100</td>
              <td rowspan="1" colspan="1">90.0</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="T7" position="float" orientation="portrait">
        <label>Table 7.</label>
        <caption>
          <p>Mean values of systolic and diastolic blood pressure in obese and healthy children</p>
        </caption>
        <table id="TID0ER2AG" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Parameter</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Obesity</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Control</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>
                  <italic>p</italic>
                </bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Systolic blood pressure (Hg)</td>
              <td rowspan="1" colspan="1">140.18±26.78</td>
              <td rowspan="1" colspan="1">118.26±26.78</td>
              <td rowspan="1" colspan="1">&lt;0.05</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Diastolic blood pressure (Hg)</td>
              <td rowspan="1" colspan="1">88.16±14.78</td>
              <td rowspan="1" colspan="1">74.32±10.48</td>
              <td rowspan="1" colspan="1">&lt;0.05</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec sec-type="Discussion" id="SECID0EXIAC">
      <title>Discussion</title>
      <p>Obesity is a chronic, progressive disease characterized by psychological issues that limit physical activity. The prevalence of obesity is increasing rapidly in both developing and developed countries. This disease affects children as well as adults negatively day by day. In our country, the problem of obesity has not been emphasized much; moreover, many families have adopted the view that an overweight child is healthy. Today, it is known that there is a relationship between obesity and cardiovascular diseases, type 2 diabetes, lung diseases, and neurodegenerative diseases. In addition, it is well known that obesity begins in childhood in most obese adults.<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup></p>
      <p>Lifestyle, feeding frequency and type, child’s birth weight are the factors that should be focused on the mechanism of childhood obesity. Children born to obese parents are more likely to be obese. While the concept of obesity is taken into account in adults, it is observed that there are deficiencies in childhood obesity.<sup>[<xref ref-type="bibr" rid="B17 B18">17–18</xref>]</sup> Considering that obesity is a common health problem in the society, a cost-effective and easily applicable method should be used in diagnosis and follow-up.<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup><abbrev xlink:title="body mass index" id="ABBRID0ETJAC">BMI</abbrev> values vary according to age and sex in children. Therefore, <abbrev xlink:title="body mass index" id="ABBRID0EXJAC">BMI</abbrev> percentile curves prepared for Turkish children were taken into account when determining obese and control children during the study.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> In the study, those with 95th percentile values and above were determined as the obese group, and children between the 5th and 85th percentiles were determined as the control group. Therefore, the <abbrev xlink:title="body mass index" id="ABBRID0ECKAC">BMI</abbrev> values of the obese children were found to be higher than those of the control group. Candido et al. and Mantovani et al. obtained similar study results. We think that the <abbrev xlink:title="body mass index" id="ABBRID0EGKAC">BMI</abbrev> values of obese children are an indicator of increased adipose tissue in their bodies.<sup>[<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>]</sup></p>
      <p>When obese children and control groups were compared in terms of glucose and insulin levels, there were significant differences seen in the study. In our study, glucose levels were found to be higher in the obese children group than those in the control group, while insulin levels were lower in the obesity group than in the control group. There are studies in the literature in which both insulin and glucose levels are higher in the obesity group than in the control group.<sup>[<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>]</sup> In addition, there are studies similar to ours that evaluated significant differences between glucose levels and insulin levels.<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup> Insulin sensitivity is best assessed using the clamp technique. However, the invasive nature of the clamp technique makes it difficult to use it in practice. Instead of this technique, insulin sensitivity is evaluated according to the fasting insulin values and the insulin values measured during the oral glucose tolerance test. For this purpose, the insulin sensitivity index and the <abbrev xlink:title="Homeostasis model assessment" id="ABBRID0EILAC">HOMA</abbrev> index are frequently used, and these methods are reported to be correlated with the hyperglycemic clamp technique.‌<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup> There are studies showing that <abbrev xlink:title="Homeostasis model assessment" id="ABBRID0ETLAC">HOMA</abbrev> can be used to evaluate the sensitivity of insulin resistance and can be applied precisely and easily.<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup> Similarly, the <abbrev xlink:title="Homeostasis model assessment" id="ABBRID0E5LAC">HOMA</abbrev> index was used for IR evaluation in the study. It can be said that the increase in fat mass is a factor in the high <abbrev xlink:title="Homeostasis model assessment" id="ABBRID0ECMAC">HOMA</abbrev> values in obese children in the study. In addition, the lack of sufficient number of receptors despite the increase in insulin requirement can be considered as another factor.</p>
      <p>There are studies which evaluated different plasma lipid levels in obese children. In general, studies on obese children have shown that HDL levels decrease as the degree of obesity increases. On the contrary, increases are observed in triglyceride and LDL levels.<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup> Likewise, Reinehr et al. stated in their study that there were decreases in the serum HDL levels in obese children.<sup>[<xref ref-type="bibr" rid="B27">27</xref>]</sup> In our research, we found that the triglyceride, total cholesterol, and LDL levels were significantly higher in obese children than those values in the control group. In addition, HDL levels were observed at lower levels compared to the control group. Our research result parameters are similarly supported by the study of Boyd et al.<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup> In addition, correlations between parameters were made in children and it was shown that there is a positive relationship between the triglyceride, total cholesterol, and LDL levels.</p>
      <p>A study found that plasma 8-iso-PGF2 levels, which are used as an indicator of oxidative stress, were significantly higher in obese children than in the healthy control group. It is seen that there is a direct correlation between plasma 8-iso-PGF<sub>2α</sub> level and visceral adipose tissue. In addition, there was no significant correlation between subcutaneous adipose tissue and plasma 8-iso-PGF<sub>2α</sub> levels in non-obese children. It is stated that 8-iso-PGF<sub>2α</sub> is a strong and independent determinant of visceral adipose accumulation. <sup>[<xref ref-type="bibr" rid="B33">33</xref>]</sup> In a study including 58 patients, Kelly et al. found that the plasma 8-iso-PGF<sub>2α</sub> levels of obese children were higher than those in normal children. High levels of plasma 8-iso-PGF<sub>2α</sub> can be interpreted as the possibility of a higher incidence of type 2 diabetes and cardiovascular diseases in obese children in the future.<sup>[<xref ref-type="bibr" rid="B28">28</xref>]</sup> When the plasma 8-iso-PGF<sub>2α</sub> values are examined, it is seen that results consistent with the studies in the literature are obtained.<sup>[<xref ref-type="bibr" rid="B29 B30 B31">29–31</xref>]</sup> Many researchers have reported an increase in plasma 8-iso-PGF<sub>2α</sub> levels in patients with insulin resistance.<sup>[<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>]</sup> In another study evaluating the relationship of oxidative stress with diabetes, obesity and atherosclerosis, 8-iso-PGF<sub>2α</sub> levels were found to be significantly higher in obese adults. In a different study investigating the relationship of oxidative stress with obesity and insulin resistance only in adult males, it was reported that 8-iso-PGF<sub>2α</sub> levels were higher in obese males than in normal males. <sup>[<xref ref-type="bibr" rid="B32">32</xref>]</sup> In the literature, it is seen that the obesity 8-iso-PGF<sub>2α</sub> correlation is mostly evaluated in adults. This study investigated the correlation between obesity in children and 8-iso-PGF<sub>2α</sub>.</p>
      <p>The blood pressure values obtained in the study show that there is a correlation between 8-iso-PGF<sub>2α</sub> levels and obesity. While the mean systolic blood pressure was 140.18±26.78 mmHg in the obesity group, the mean systolic blood pressure was 118.26±26.78 mmHg in the control group. While the diastolic blood pressure was 88.16±14.78 mmHg in the children with obesity, it was 74.32±10.48 mmHg in the control group. It is known that 8-iso-PGF<sub>2α</sub>, which is administered endogenously into the vein, increases blood pressure. Therefore, increased 8-iso-PGF<sub>2α</sub> level in obese children is thought to be effective in increasing blood pressure.</p>
    </sec>
    <sec sec-type="Conclusions" id="SECID0EEPAC">
      <title>Conclusions</title>
      <p>Oxidative stress forms the infrastructure of many diseases. Today, exposure to oxidative stress due to various factors has decreased to very young ages. It has been proven by various studies that oxidative stress can disrupt the normal working principles of the energy production mechanisms in the body and affect the general working principles of the cell. In this context, understanding the metabolic and biochemical background of oxidant mechanisms in the development of diseases, interpreting their measurable results and identifying biomarkers will contribute to early diagnosis and treatment. There are many biomarkers used as indicators in oxidative stress studies. In the present study, 8-iso-PGF<sub>2α</sub> levels were based on as a biomarker of oxidative stress, and obese children were our area of interest. Our results showed that 8-iso-PGF<sub>2α</sub> concentrations were higher in obese children than in the control group. We can say that elevated 8-iso-PGF<sub>2α</sub> levels are related to high blood pressure and visceral adiposity. In this respect, we can say that increased levels of 8-iso-PGF<sub>2α</sub>, which we consider as a biomarker of oxidative stress, may be a factor in the formation of cardiovascular diseases in obese children. Furthermore, we can say that the diagnosis of the disease can be made with 99% sensitivity of 8-iso-PGF<sub>2α</sub> levels in obese children. As insulin resistance increased, there was an increase in the 8-iso-PGF<sub>2α</sub> levels suggesting that this biomarker is important in the diagnosis of obesity.</p>
    </sec>
    <sec sec-type="Compliance with the ethical standards" id="SECID0EWPAC">
      <title>Compliance with the ethical standards</title>
      <p>All human studies have been approved by the appropriate ethics committee and have therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki. All persons gave their informed consent prior to their inclusion in the study.</p>
    </sec>
    <sec sec-type="Conflict of Interest" id="SECID0E2PAC">
      <title>Conflict of Interest</title>
      <p>The authors declare that they have no conflict of interest.</p>
    </sec>
    <sec sec-type="Funding" id="SECID0EBAAE">
      <title>Funding</title>
      <p>The authors have no funding to report.</p>
    </sec>
  </body>
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