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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JAA</journal-id>
      <journal-title-group>
        <journal-title>Journal of Antioxidant Activity</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2471-2140</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">JAA-20-3236</article-id>
      <article-id pub-id-type="doi">10.14302/issn.2471-2140.jaa-20-3236</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Comparative Analysis of Atherosclerosis Risk Factors in the Staff of the Tbilisi (Georgia) Cleaning Service </article-title>
        <alt-title alt-title-type="running-head">risk factors and mechanisms of atherosclerosis journal id jaa issn 2471-2140</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Murman</surname>
            <given-names>Kantaria</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842804772">1</xref>
          <xref ref-type="aff" rid="idm1842804124">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pavle</surname>
            <given-names>Machavariani</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842804772">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Giorgi</surname>
            <given-names>Ormotsadze</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842804772">1</xref>
          <xref ref-type="aff" rid="idm1842804556">3</xref>
          <xref ref-type="aff" rid="idm1842803476">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ketevan</surname>
            <given-names>Kakabadze</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842804556">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Irakli</surname>
            <given-names>Chkhikvishvili</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842804556">3</xref>
          <xref ref-type="aff" rid="idm1842804988">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Maka</surname>
            <given-names>Buleishvili</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842804124">2</xref>
          <xref ref-type="aff" rid="idm1842804556">3</xref>
          <xref ref-type="aff" rid="idm1842805348">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Nina</surname>
            <given-names>Kipiani</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842804556">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Vazha</surname>
            <given-names>Agladze</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842804772">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Tamar</surname>
            <given-names>Sanikidze</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842804556">3</xref>
          <xref ref-type="aff" rid="idm1842804988">4</xref>
          <xref ref-type="aff" rid="idm1842802252">*</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1842804772">
        <label>1</label>
        <addr-line>Davit Aghmashenebeli University of Georgia, Tbilisi, Georgia</addr-line>
      </aff>
      <aff id="idm1842804124">
        <label>2</label>
        <addr-line>N. Kipshidze Central University Clinic, Tbilisi, Georgia</addr-line>
      </aff>
      <aff id="idm1842804556">
        <label>3</label>
        <addr-line>Tbilisi State Medical University, Tbilisi, Georgia</addr-line>
      </aff>
      <aff id="idm1842804988">
        <label>4</label>
        <addr-line>Bakhutashvili Institute of Medical Biotechnology of Tbilisi State Medical University</addr-line>
      </aff>
      <aff id="idm1842803476">
        <label>5</label>
        <addr-line>Beritashvili Center of experimental Biomedicine</addr-line>
      </aff>
      <aff id="idm1842805348">
        <label>6</label>
        <addr-line>Georgian National University SEU</addr-line>
      </aff>
      <aff id="idm1842802252">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Jie</surname>
            <given-names>Yin</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842781276">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1842781276">
        <label>1</label>
        <addr-line>Institute of Subtropical Agriculture and University of Chinese Academy of Sciences, china</addr-line>
      </aff>
      <author-notes>
        <corresp>
    
    Tamar Sanikidze Ph.D., Prof., <addr-line>Department of Physics, Biophysics, Biomechanics and Informative Technologies of Tbilisi State Medical University, Georgia</addr-line>, +<phone>995 593 33 80 46</phone>,                                     Email: <email>sanikidze_t@yahoo.com</email></corresp>
        <fn fn-type="conflict" id="idm1843132412">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2020-03-11">
        <day>11</day>
        <month>03</month>
        <year>2020</year>
      </pub-date>
      <volume>2</volume>
      <issue>1</issue>
      <fpage>1</fpage>
      <lpage>10</lpage>
      <history>
        <date date-type="received">
          <day>25</day>
          <month>02</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>10</day>
          <month>03</month>
          <year>2020</year>
        </date>
        <date date-type="online">
          <day>11</day>
          <month>03</month>
          <year>2020</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2020</copyright-year>
        <copyright-holder>Murman Kantaria, et al.</copyright-holder>
        <license 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/jaa/article/1277">This article is available from http://openaccesspub.org/jaa/article/1277</self-uri>
      <abstract>
        <sec id="idm1842778180">
          <title>Objective</title>
          <p>Search of pathogenetic mechanisms and risk factors of atherosclerosis in the employees of the cleaning service in Tbilisi.</p>
        </sec>
        <sec id="idm1842777316">
          <title>Materials and Methods</title>
          <p>As a result of a preliminary survey and examination of 200 employes of Tbilisi cleaning service aged 25-45 years (2014-2016), 22 patients with angina, hypercholesterolemia, intimae-media thickness &gt; 0.65 mm, were selected into I group, and 23 individuals without these disorders into II group. In the blood plasma of the selected patients the intensity of oxidative metabolism parameters, TAA and MDA were determined. The variance and correlation analysis (АNOVA) was used for conducting the comparative analysis of the levels of studied parameters. </p>
        </sec>
        <sec id="idm1842777748">
          <title>Results</title>
          <p>In the combined group (I+II) there are several reliable correlations between the Age -TCol, Age-MDA, BMI-Tg, BMI-MDA, LDLChol-HDLChol, LDLChol–TChol, HDLChol-TChol, LDLChol-MDA, LDLChol-TAA. no correlation between these parameters in individual groups (I and II) was found. That indicates that we have an imaginary correlation related to the large intergroup difference between the average values of the group indicators, that is the values of various indicators change during the development of the pathological process, but there is no causal relationship between these alterations.  </p>
          <p>The reliable TAA-MDA correlation in the combined group (I+II) is related to the high anticorrelation between these parameters and the significantly higher average value of TAA in the low-risk group (II) in comparison to the high-risk group (I).  </p>
        </sec>
        <sec id="idm1842777244">
          <title>Conclusion</title>
          <p>The results analysis indicates both the diagnostic value of redox status indicators and their leading role in the atherogenesis processes. In populations with a high risk of atherosclerosis, monitoring of serum TAA is recommended.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>Risk-factors of atherosclerosis</kwd>
        <kwd>lipid metabolism</kwd>
        <kwd>oxidative stress</kwd>
        <kwd>total antioxidant activity</kwd>
        <kwd>Malondialdehyde</kwd>
      </kwd-group>
      <counts>
        <fig-count count="1"/>
        <table-count count="5"/>
        <page-count count="10"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1842775660" sec-type="intro">
      <title>Introduction</title>
      <p>Atherosclerosis, as a major cause of myocardial infarction, stroke, and thrombosis, is a significant contributor to early disability and high mortality, and is, therefore, one of the most important medical and social problems. Atherosclerosis is characterized by the formation of plaques contributing to an increase in the thickness of the coronary artery wall resulting in reduced blood flow. Plaque rupture and the consequent thrombosis may lead to sudden blockage of arteries and causing stroke and heart attack. The recent tendency to increase and rejuvenate the disease makes this problem even more relevant. </p>
      <p>Given the urgency of the problem, the search for new risk factors for atherosclerosis and the emergence of yet unknown pathogenetic mechanisms is naturally one of the major issues of modern                 medicine <xref ref-type="bibr" rid="ridm1842310172">1</xref><xref ref-type="bibr" rid="ridm1842313484">2</xref>.</p>
      <p>Our investigation aimed to determine the main risk factors for atherosclerosis and its main pathogenetic mechanisms in the employees of the cleaning service in Tbilisi (Georgia).</p>
    </sec>
    <sec id="idm1842775732" sec-type="materials">
      <title>Material and Methods</title>
      <p>As a result of a preliminary survey and examination of 200 employees of Tbilisi, Cleaning service aged 25-45 years, conducted by an initiative group of medical workers of the N. Kipshidze University Clinic (2014-2016) within the framework of the State program of Universal Insurance of the population (physical examination, filling out the questionnaire,  parameters of lipid metabolism (total cholesterol (TChol), high-density lipoprotein cholesterol (HDL-Chol), low-density lipoprotein cholesterol (LDL-Chol), triglycerides) (Tg)), Fibrinogen (Fn), C reactive protein (CRP) content in blood,  intimate media thickness), 45 people were selected. 22 patients with angina, hypercholesterolemia, intimae-media thickness &gt; 0.65 mm, were grouped into I group (high risk of atherosclerosis), and 23 individuals without angina had normal cholesterol levels in blood and intimae-media layer thickness &lt;0.55 mm – into II group (low risk of atherosclerosis). The study protocol was approved by the Ethical Committee of the David Aghmashenebeli University of Georgia. </p>
      <p>The intima-media thickness was measured by ultrasound with LOGIQ 7 (N. Kipshidze University Clinic).</p>
      <p>The TChol, HDL-Chol, and Tg levels were measured by the enzymatic method on a fully automated chemistry analyzer (Roche diagnostics) (Laboratory of Tbilisi Republican hospital named after acad. N. Kipshidze). LDL-Chol level was calculated by the Friedewald equation <xref ref-type="bibr" rid="ridm1842392820">3</xref>. </p>
      <p>Plasma Fn level was measured by a fully automated coagulation analyzer (Diagnostica STAGO), plasma CPR level was tested by immunoassay (ELISA) with a fully automated chemistry analyzer (Roche diagnostic GmbH) (Laboratory of N. Kipshidze University Clinic). </p>
      <p>Electrocardiography (ECG) registration was performed at rest condition with the device ECG300G (three-channel electrocardiograph CONTEC) (Laboratory of N. Kipshidze University Clinic). </p>
      <p>In the blood of the patients from the selected groups, the intensity of oxidative metabolism was determined by total antioxidant activity (TAA) of the blood serum and the Malondialdehyde (MDA) content.</p>
      <p>TAA was determined in deproteinized blood serum by using the 2.2-diphenyl-1-picrylhidrazyl            (DPPH)-scavenging assay, which was adapted from the study conducted by Chrzczanowicz et al. <xref ref-type="bibr" rid="ridm1842168316">4</xref> (Laboratory of Bakhutashvili Institute of Medical Biotechnology of Tbilisi State Medical University).</p>
      <p>To obtain serum, blood samples (3 ml) were placed in the tubes and incubated for 30 minutes at 37° C and then centrifuged for 10 minutes (1500 g, 4°C). </p>
      <p>Serum samples (2<italic> ml</italic>) were deproteinized by incubation with 2 ml of acetonitrile for 2 min at room temperature (20°C), and further centrifugation at 9500 g for 10 min (at 4°C,). A supernatant was immediately collected, and 1 mlwas transferred to a tube. Subsequently, and the resultant absorbance was read at 515 nm </p>
      <p>The supernatant (1 ml) of deproteinized serum was collected, dried and dissolved in 0.5 ml of methanol, the DPPH (3 ml) was added. The absorption of the test samples was measured by the spectrophotometer at 515 nm. The percent of neutralization in the samples was calculated on gallic acid; the absorbance values were interpolated by using the calibration curve built for gallic acid. The total antioxidant activity (TAA) of the blood serum samples was determined by the time (t, in seconds) required for neutralization of 50% radical; the less time is necessary for the neutralization of the            DPPH-radicals, the higher is the antioxidant activity of the blood serum. For evaluating of TAA of blood serum samples, we use the parameter K inverse to the time indicator (t), (K = 1/t [sec<sup>-</sup><xref ref-type="bibr" rid="ridm1842310172">1</xref>]) so that large numbers of K correspond to high values of TAA).</p>
      <p>MDA in blood plasma was determined by Thiobarbituric acid (TBA) assay <xref ref-type="bibr" rid="ridm1842173572">5</xref> Laboratory of Bakhutashvili Institute of Medical Biotechnology of Tbilisi State Medical University).</p>
      <p>The variance and correlation analysis (АNOVA) was used for conducting the comparative analysis of the levels of studied parameters. The analysis and visualization<italic> o</italic>f data were conducted by using "SPSS-12" for Windows. Statistically significant correlation coefficients with linear magnitudes linear correlations coefficients Pearson (r), the statistical significance of results with p-magnitude evaluations</p>
    </sec>
    <sec id="idm1842765356" sec-type="results">
      <title>Results</title>
      <p>Results of patients' investigation are shown in <xref ref-type="table" rid="idm1841398836">Table 1</xref>, <xref ref-type="table" rid="idm1841164388">Table 2</xref> and <xref ref-type="fig" rid="idm1841120628">Figure 1</xref>. Analysis of the obtained data revealed that in group I (patients with a high risk of atherosclerosis), compared to group II (patients with low risk of atherosclerosis), statistically reliably prevailed:</p>
      <table-wrap id="idm1841398836">
        <label>Table 1.</label>
        <caption>
          <title> Mean values of various physiological and lifestyle components in patients of Groups I and II</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>N</td>
              <td colspan="2">Parameters</td>
              <td>I Group %</td>
              <td>n</td>
              <td>II Group %</td>
              <td>N</td>
              <td>P</td>
            </tr>
            <tr>
              <td>1</td>
              <td>Age</td>
              <td>25-34</td>
              <td>27.3</td>
              <td>6</td>
              <td>82.6</td>
              <td>19</td>
              <td>&lt;0.02</td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>35-45</td>
              <td>72.7</td>
              <td>16</td>
              <td>17.4</td>
              <td>4</td>
              <td>&lt;0.02</td>
            </tr>
            <tr>
              <td>2</td>
              <td colspan="2">Myocardial Infarct</td>
              <td>9.1</td>
              <td>2</td>
              <td>-</td>
              <td>0</td>
              <td> </td>
            </tr>
            <tr>
              <td>3</td>
              <td colspan="2">Stroke</td>
              <td>4.6</td>
              <td>1</td>
              <td>-</td>
              <td>0</td>
              <td> </td>
            </tr>
            <tr>
              <td>4</td>
              <td colspan="2">Family history</td>
              <td>22.7</td>
              <td>5</td>
              <td>4.4</td>
              <td>1</td>
              <td> </td>
            </tr>
            <tr>
              <td>5</td>
              <td>Smoking</td>
              <td>Never</td>
              <td>4.5</td>
              <td>1</td>
              <td>-</td>
              <td>0</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>10</td>
              <td>27.3</td>
              <td>6</td>
              <td>21.7</td>
              <td>5</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>&gt;20</td>
              <td>36.4</td>
              <td>8</td>
              <td>39.1</td>
              <td>9</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>&gt;40</td>
              <td>22.7</td>
              <td>5</td>
              <td>17.4</td>
              <td>4</td>
              <td> </td>
            </tr>
            <tr>
              <td>6</td>
              <td>BMI</td>
              <td>25</td>
              <td>18.2</td>
              <td>4</td>
              <td>56.5</td>
              <td>13</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>&gt;25</td>
              <td>50</td>
              <td>11</td>
              <td>39.1</td>
              <td>9</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>&gt;30</td>
              <td>31.8</td>
              <td>7</td>
              <td>4.3</td>
              <td>1</td>
              <td> </td>
            </tr>
            <tr>
              <td>7</td>
              <td>Meat Consumption</td>
              <td>Animal fat</td>
              <td>54.5</td>
              <td>12</td>
              <td>47.8</td>
              <td>11</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>Plant oil</td>
              <td>45.5</td>
              <td>10</td>
              <td>52.2</td>
              <td>12</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>Meat</td>
              <td>81.8</td>
              <td>18</td>
              <td>78.3</td>
              <td>18</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>Fish</td>
              <td>18.2</td>
              <td>4</td>
              <td>21.7</td>
              <td>5</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>Carbohydrates</td>
              <td>81.8</td>
              <td>18</td>
              <td>78.3</td>
              <td>18</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>Vegetable/fruits</td>
              <td>18.2</td>
              <td>4</td>
              <td>21.7</td>
              <td>5</td>
              <td> </td>
            </tr>
            <tr>
              <td>8</td>
              <td colspan="2">Nervous stress</td>
              <td>77.3</td>
              <td>17</td>
              <td>60.9</td>
              <td>14</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td colspan="2">No</td>
              <td>22.7</td>
              <td>5</td>
              <td>39.1</td>
              <td>9</td>
              <td> </td>
            </tr>
            <tr>
              <td>9</td>
              <td>Arterial Pressure (mm Hg)</td>
              <td>Normal (&lt;140/90)</td>
              <td>18.2</td>
              <td>4</td>
              <td>52.2</td>
              <td>12</td>
              <td>&lt;0.02</td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>High (&gt;140/90)</td>
              <td>81.8</td>
              <td>18</td>
              <td>47.8</td>
              <td>11</td>
              <td> </td>
            </tr>
            <tr>
              <td>10</td>
              <td>LDLChol (mmol/l)</td>
              <td>Normal (&lt;3.0)</td>
              <td>36.4</td>
              <td>8</td>
              <td>78.3</td>
              <td>18</td>
              <td>&lt;0.02</td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>High (&gt;3.0)</td>
              <td>63,6</td>
              <td>14</td>
              <td>21,7</td>
              <td>5</td>
              <td>&lt;0,02</td>
            </tr>
            <tr>
              <td>11</td>
              <td>Tg (mmol/l)</td>
              <td>Normal (&lt;2,0)</td>
              <td>63,6</td>
              <td>14</td>
              <td>78.3</td>
              <td>18</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>High (&gt;2.0)</td>
              <td>36.4</td>
              <td>8</td>
              <td>21.7</td>
              <td>5</td>
              <td> </td>
            </tr>
            <tr>
              <td>12</td>
              <td>HDLChol (mmol/l)</td>
              <td>Normal (&gt;1.0)</td>
              <td>9.1</td>
              <td>2</td>
              <td>13.0</td>
              <td>3</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>Low (&lt;1.0)</td>
              <td>90.9</td>
              <td>20</td>
              <td>87.0</td>
              <td>20</td>
              <td> </td>
            </tr>
            <tr>
              <td>13</td>
              <td>Fn (gr/l)</td>
              <td>Normal (&lt;2.9)</td>
              <td>68.2</td>
              <td>15</td>
              <td>69.6</td>
              <td>16</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>High (&gt;2.9)</td>
              <td>31.8</td>
              <td>7</td>
              <td>30.,4</td>
              <td>7</td>
              <td> </td>
            </tr>
            <tr>
              <td>14</td>
              <td>CRP (mkg/ml)</td>
              <td>Normal (&lt;3.0)</td>
              <td>50</td>
              <td>11</td>
              <td>39,1</td>
              <td>9</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>High (&gt;3.0)</td>
              <td>50</td>
              <td>11</td>
              <td>60.9</td>
              <td>14</td>
              <td> </td>
            </tr>
            <tr>
              <td>15</td>
              <td>MDA (µmol/l)</td>
              <td>Normal (&lt;2.9 µmol/l)</td>
              <td>9</td>
              <td>2</td>
              <td>47.8</td>
              <td>11</td>
              <td>&lt;0.01</td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>High (&gt;2.9 µmol/l)</td>
              <td>90.9</td>
              <td>20</td>
              <td>52.2</td>
              <td>12</td>
              <td>&lt;0.01</td>
            </tr>
            <tr>
              <td>16</td>
              <td>TAA(sec<sup>-1</sup>)</td>
              <td>Normal (0.022&lt;TAA&lt;0.025)</td>
              <td>40.1</td>
              <td>9</td>
              <td>34.8</td>
              <td>8</td>
              <td> </td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>Low (TAA&lt;0.022)</td>
              <td>45.6</td>
              <td>10</td>
              <td>21.7</td>
              <td>5</td>
              <td>0.01</td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td>High (TAA&gt;0.025)</td>
              <td>13.3</td>
              <td>3</td>
              <td>43.5</td>
              <td>10</td>
              <td>&lt;0.01</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="idm1841164388">
        <label>Table 2.</label>
        <caption>
          <title> Statistical significance of intergroup differences            between values (Fisher F-test)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>Dependent Variable</td>
              <td colspan="2">Test Whole Model</td>
            </tr>
            <tr>
              <td/>
              <td>F</td>
              <td>P</td>
            </tr>
            <tr>
              <td>Age</td>
              <td>17.66</td>
              <td>&gt;0.001</td>
            </tr>
            <tr>
              <td>BMI</td>
              <td>18.14236</td>
              <td>&gt;0.001</td>
            </tr>
            <tr>
              <td>LDLChol</td>
              <td>14.19975</td>
              <td>&gt;0.001</td>
            </tr>
            <tr>
              <td>Tg</td>
              <td>9.02388</td>
              <td>&gt;0.001</td>
            </tr>
            <tr>
              <td>HDLChol</td>
              <td>0,83863</td>
              <td>0.36</td>
            </tr>
            <tr>
              <td>Fn</td>
              <td>0.21152</td>
              <td>0.65</td>
            </tr>
            <tr>
              <td>CRP</td>
              <td>0.08291</td>
              <td>0.77</td>
            </tr>
            <tr>
              <td>MDA</td>
              <td>33.08732</td>
              <td>&gt;0.001</td>
            </tr>
            <tr>
              <td>TChol</td>
              <td>15.75541</td>
              <td>&gt;0.001</td>
            </tr>
            <tr>
              <td>TAA</td>
              <td>9.23448</td>
              <td>0.005</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Ages patients (35-45 years) – 72.7% vs. 17.4%, p&lt;0.02;</p>
      <p>Persons with obesity (body mass index (BMI) &gt;            30) – 31.8% vs. 4.3%, p&lt; 0.02;</p>
      <p>Persons with arterial hypertension (&gt; 140/90 mm Hg) – 81.8% vs. 47.8%, p&lt; 0.02;</p>
      <p>High level of LDL-Chol in blood (&gt; 3,0 mMol /              l) – 6..6% vs. 21.7%, p&gt; 0/02;</p>
      <p>High level of MDA ((&gt;2,9 µMol / l) – 90.9% vs. 52.2%; p&gt; 0.01;</p>
      <p>Low TAA (TAA&lt;0,022 sec<sup>-1</sup>) – 45,6% vs. 21,7%,            p&lt; 0,01.</p>
      <p>Individuals in the group I had significantly higher lipid peroxidation parameters (MDA content), and low level of TAA in the blood compared to group II (<xref ref-type="fig" rid="idm1841120628">Figure 1</xref> C, <xref ref-type="table" rid="idm1841164388">Table 2</xref>), which indicates the intensification of oxidative stress. </p>
      <p>Thus, the factors that predominated in the I group of the investigated population (age, obesity, arterial hypertension, and high LDLChol) play an important role in the formation of atherosclerosis (<xref ref-type="fig" rid="idm1841120628">Figure 1</xref>A, B, D, <xref ref-type="table" rid="idm1841164388">Table 2</xref>). </p>
      <fig id="idm1841120628">
        <label>Figure 1.</label>
        <caption>
          <title> Intergroup differences (Group I, Group II) between values of age, Body mass index (A),             Fibrinogen, CPR and MDA content in the blood (B), blood TAA (C) and lipid metabolism parameters (LDLChol, Tg, HDLChol, TChol content) (D) using ANOVA</title>
        </caption>
        <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
      </fig>
      <p>Oxidative stress also participates in the pathogenesis of atherosclerotic cardiovascular disease. In the general population, increased concentrations of lipid peroxidation products are associated with coronary artery calcification and increase of the carotid               intima-media thickness, non-invasive measures of atherosclerosis,  which predict of the long term cardiovascular outcomes <xref ref-type="bibr" rid="ridm1842169324">6</xref><xref ref-type="bibr" rid="ridm1842159596">7</xref>, and also presence and severity of coronary artery disease <xref ref-type="bibr" rid="ridm1842154340">8</xref>. Oxidative stress occurs when there is an imbalance between reactive oxygen species relative to antioxidants <xref ref-type="bibr" rid="ridm1842144732">9</xref><xref ref-type="bibr" rid="ridm1842143076">10</xref>. In our investigations, the intensity of oxidative stress in investigated patients was determined by the MDA content and TAA status of blood plasma and the correlation between the values of these parameters. As it reveals from <xref ref-type="table" rid="idm1841118252">Table 3</xref>, the TAA level is also in correlation with TCol and HDLChol content (<xref ref-type="table" rid="idm1841118252">Table 3</xref>).</p>
      <table-wrap id="idm1841118252">
        <label>Table 3.</label>
        <caption>
          <title> Correlations (r) and their statistical significance between the studied values in the combined group (I+II) of patients (*- statistically significant correlations p&lt;0,05)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td> </td>
              <td>Means</td>
              <td>Std.Dev.</td>
              <td>Age</td>
              <td>BMI</td>
              <td>LDLChol</td>
              <td>Tg</td>
              <td>HDLChol</td>
              <td>TChol</td>
              <td>Fn</td>
              <td>CRP</td>
              <td>MDA</td>
              <td>TAA</td>
            </tr>
            <tr>
              <td>Age</td>
              <td>34,52</td>
              <td>8,13</td>
              <td>1,00</td>
              <td>0,27</td>
              <td>0,51<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,32</td>
              <td>0,26</td>
              <td>0,56<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,32</td>
              <td>-0,06</td>
              <td>0,42<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>-0,18</td>
            </tr>
            <tr>
              <td>BMI</td>
              <td>27,27</td>
              <td>3,35</td>
              <td>0,27</td>
              <td>1,00</td>
              <td>0,33</td>
              <td>0,38<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,05</td>
              <td>0,23</td>
              <td>0,02</td>
              <td>-0,19</td>
              <td>0,43<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>-0,13</td>
            </tr>
            <tr>
              <td>LDLChol</td>
              <td>3,18</td>
              <td>1,51</td>
              <td>0,51<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,33</td>
              <td>1,00</td>
              <td>0,27</td>
              <td>0,41<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,71<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,08</td>
              <td>-0,31</td>
              <td>0,47<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>-0,44<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
            </tr>
            <tr>
              <td>Tgl</td>
              <td>2,06</td>
              <td>1,29</td>
              <td>0,32</td>
              <td>0,38<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,27</td>
              <td>1,00</td>
              <td>0,13</td>
              <td>0,14</td>
              <td>0,09</td>
              <td>0,02</td>
              <td>0,39<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>-0,11</td>
            </tr>
            <tr>
              <td>HDLChol</td>
              <td>0,85</td>
              <td>0,31</td>
              <td>0,26</td>
              <td>-0,07</td>
              <td>0,15</td>
              <td>-0,07</td>
              <td>1,00</td>
              <td>0,40<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,10</td>
              <td>0,19</td>
              <td>0,10</td>
              <td>-0,09</td>
            </tr>
            <tr>
              <td>Fn</td>
              <td>2,79</td>
              <td>0,69</td>
              <td>0,32</td>
              <td>0,02</td>
              <td>0,08</td>
              <td>0,09</td>
              <td>-0,07</td>
              <td>0,02</td>
              <td>1,00</td>
              <td>-0,02</td>
              <td>-0,17</td>
              <td>0,15</td>
            </tr>
            <tr>
              <td>CRP</td>
              <td>3,45</td>
              <td>2,10</td>
              <td>-0,06</td>
              <td>-0,01</td>
              <td>-0,32</td>
              <td>0,06</td>
              <td>0,19</td>
              <td>-0,20</td>
              <td>0,53</td>
              <td>1,00</td>
              <td>-0,14</td>
              <td>0,11</td>
            </tr>
            <tr>
              <td>MDA</td>
              <td>3,36</td>
              <td>0,50</td>
              <td>0,42<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,43<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,47<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,39<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,22</td>
              <td>0,51<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>-0,17</td>
              <td>-0,30</td>
              <td>1,00</td>
              <td>-0,75<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
            </tr>
            <tr>
              <td>TChol</td>
              <td>4,52</td>
              <td>1,40</td>
              <td>0,56<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,23</td>
              <td>0,71<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,14</td>
              <td>0,40<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>1,00</td>
              <td>0,02</td>
              <td>-0,20</td>
              <td>0,51<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>-0,40<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
            </tr>
            <tr>
              <td>TAA</td>
              <td>0,02</td>
              <td>0,00</td>
              <td>-0,18</td>
              <td>-0,13</td>
              <td>-0,44<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>-0,11</td>
              <td>-0,19</td>
              <td>-0,4<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>0,15</td>
              <td>0,22</td>
              <td>-0,75<xref ref-type="table-fn" rid="idm1842503620">*</xref></td>
              <td>1,00</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1842503620">
            <label>*</label>
            <p>- statistically significant correlations</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Correlation analysis of investigated parameters in observed patients of the combined group (I +II) indicate a negative correlation between blood plasma TAA and MDA content  (r = -0.75), LDLChol (r = -0.44) and TChol (r = -0.40) content; MDA content in blood plasma correlates with patient age (r = 0.42), obesity (BMI) (r = 0.43), and parameters of lipid metabolism (LDLChol: r = 0.47, Tg: r = 0.39); TChol content in             the patients' blood plasma increased with increasing age (r = 0.56), that is followed by elevation of LDLChol                (r = 0.71) and HDLChol (r = 0.40) content and intensification of oxidative stress (for MDA: r = 0.51, for TAA: r = -0,4); elevation of Tg content in blood plasma correlated with BMI (r = 0.38) and  MDA  (r = 0.39). LDLChol content correlates wirh patients age and blood palsma oxidative stress parameters (TAA, MDA).</p>
      <p>At the same time analysis of investigated parameters of patients from I and II groups (<xref ref-type="table" rid="idm1840943692">Table 4</xref>, <xref ref-type="table" rid="idm1840819196">Table 5</xref>) did not detect these correlations. In the Group I of patients with high risk of atherosclerosis                          (group I - angina, hypercholesterolemia and                 intimae-media thickness &gt; 0.65 mm), only correlation of blood CPR and LDLChol elevated levels with patient aging (r = 0,6696, r = 0,582584) were revealed, whereas in patients without angina normal cholesterol level in blood and intimae-media layer thickness &lt;0.55 mm (Group II), apart from correlation between blood TAA and MDA content (r= -0,6593) was revealed correlation between lipid metabolism parameters (TChol and LDLChol) (r = 0,72013) and correlation between marker of inflammation (Fn) and oxidative stress parameters (TAA, MDA) (r = 0,5141, r =0,5176).</p>
      <table-wrap id="idm1840943692">
        <label>Table 4.</label>
        <caption>
          <title> Correlations and their statistical significance between the studied values in patients of Group I                    (*- statistically significant correlations p&lt;0,05)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td> </td>
              <td>Means</td>
              <td>Std.Dev</td>
              <td>Age</td>
              <td>BMI</td>
              <td>LDLChol</td>
              <td>Tg</td>
              <td>HDLChol</td>
              <td>Fn</td>
              <td>CRP</td>
              <td>MDA</td>
              <td>TChol</td>
              <td>TAA</td>
            </tr>
            <tr>
              <td>Age</td>
              <td>39,800</td>
              <td>5,4798</td>
              <td>1,0000</td>
              <td>-0,0911</td>
              <td>0,584584<xref ref-type="table-fn" rid="idm1842418012">*</xref></td>
              <td>0,135850</td>
              <td>0,17510</td>
              <td>0,29635</td>
              <td>0,6696<xref ref-type="table-fn" rid="idm1842418012">*</xref></td>
              <td>0,183852</td>
              <td>0,412271</td>
              <td>-0,3049</td>
            </tr>
            <tr>
              <td>BMI</td>
              <td>29,467</td>
              <td>3,0907</td>
              <td>-0,091</td>
              <td>1,0000</td>
              <td>-0,098097</td>
              <td>0,183024</td>
              <td>-0,1019</td>
              <td>0,01045</td>
              <td>-0,0335</td>
              <td>-0,14693</td>
              <td>-0,46261</td>
              <td>0,17742</td>
            </tr>
            <tr>
              <td>LDLChol</td>
              <td>4,089</td>
              <td>1,4820</td>
              <td>0,5846<xref ref-type="table-fn" rid="idm1842418012">*</xref></td>
              <td>-0,0981</td>
              <td>1,000000</td>
              <td>0,030930</td>
              <td>0,41698</td>
              <td>0,32359</td>
              <td>-0,4676</td>
              <td>-0,01789</td>
              <td>0,443866</td>
              <td>-0,1461</td>
            </tr>
            <tr>
              <td>Tg</td>
              <td>2,725</td>
              <td>1,5490</td>
              <td>0,1359</td>
              <td>0,1830</td>
              <td>0,030930</td>
              <td>1,000000</td>
              <td>0,04411</td>
              <td>-0,0059</td>
              <td>0,12601</td>
              <td>0,15177</td>
              <td>-0,29461</td>
              <td>0,15367</td>
            </tr>
            <tr>
              <td>HDLChol</td>
              <td>0,870</td>
              <td>0,3531</td>
              <td>0,1751</td>
              <td>-0,1519</td>
              <td>0,433476</td>
              <td>-0,16656</td>
              <td>1,00000</td>
              <td>-0,0021</td>
              <td>0,45992</td>
              <td>0,19448</td>
              <td>0,419743</td>
              <td>-0,1057</td>
            </tr>
            <tr>
              <td>Fn</td>
              <td>2,855</td>
              <td>0,6133</td>
              <td>0,2964</td>
              <td>0,01045</td>
              <td>0,323585</td>
              <td>-0,00592</td>
              <td>-0,2336</td>
              <td>1,0000</td>
              <td>-0,4786</td>
              <td>-0,06360</td>
              <td>0,153854</td>
              <td>-0,3208</td>
            </tr>
            <tr>
              <td>CRP</td>
              <td>3,212</td>
              <td>1,7199</td>
              <td>0,00336</td>
              <td>-0,0335</td>
              <td>-0,467556</td>
              <td>0,126006</td>
              <td>0,45993</td>
              <td>-0,4786</td>
              <td>1,00000</td>
              <td>-0,14102</td>
              <td>-0,21027</td>
              <td>0,32235</td>
            </tr>
            <tr>
              <td>MDA</td>
              <td>3,747</td>
              <td>0,35023</td>
              <td>0,1839</td>
              <td>-0,1469</td>
              <td>-0,017899</td>
              <td>0,151768</td>
              <td>0,19398</td>
              <td>-0,0636</td>
              <td>-0,14102</td>
              <td>1,00000</td>
              <td>0,375023</td>
              <td>-0,45</td>
            </tr>
            <tr>
              <td>TChol</td>
              <td>5,401</td>
              <td>1,1418</td>
              <td>0,41223</td>
              <td>-0,4626</td>
              <td>0,443866</td>
              <td>-0,29461</td>
              <td>0,39380</td>
              <td>0,15385</td>
              <td>-0,21027</td>
              <td>0,37502</td>
              <td>1,000000</td>
              <td>-0,4437</td>
            </tr>
            <tr>
              <td>TAA</td>
              <td>0,022</td>
              <td>0,0034</td>
              <td>-0,3049</td>
              <td>0,17742</td>
              <td>-0,146125</td>
              <td>0,153674</td>
              <td>-0,1771</td>
              <td>-0,3208</td>
              <td>0,322351</td>
              <td>-0,45</td>
              <td>-0,44372</td>
              <td>1,00000</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1842418012">
            <label>*</label>
            <p>- statistically significant correlations</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p> </p>
      <table-wrap id="idm1840819196">
        <label>Table 5.</label>
        <caption>
          <title> Correlations and their statistical significance between the studied values of patients in Group II                 (*- statistically significant correlations p&lt;0,05)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td> </td>
              <td>Means</td>
              <td>Std.Dev.</td>
              <td>Age</td>
              <td>BMI</td>
              <td>LDLChol</td>
              <td>Tg</td>
              <td>HDLChol</td>
              <td>Fn</td>
              <td>CRP</td>
              <td>MDA</td>
              <td>TChol</td>
              <td>TAA</td>
            </tr>
            <tr>
              <td>Age</td>
              <td>30,1111</td>
              <td>7,38750</td>
              <td>1,0000</td>
              <td>-0,2113</td>
              <td>0,02287</td>
              <td>-0,0510</td>
              <td>0,27102</td>
              <td>0,35899</td>
              <td>0,26903</td>
              <td>-0,15047</td>
              <td>0,266078</td>
              <td>0,39189</td>
            </tr>
            <tr>
              <td>BMI</td>
              <td>25,4444</td>
              <td>2,33193</td>
              <td>-0,2113</td>
              <td>1,00000</td>
              <td>0,10281</td>
              <td>0,02756</td>
              <td>-0,2934</td>
              <td>-0,08237</td>
              <td>-0,17892</td>
              <td>0,12770</td>
              <td>0,10780</td>
              <td>0,29759</td>
            </tr>
            <tr>
              <td>LDL  Chol</td>
              <td>2,4144</td>
              <td>1,06599</td>
              <td>0,02287</td>
              <td>0,10281</td>
              <td>1,00000</td>
              <td>-0,0821</td>
              <td>0,17523</td>
              <td>-0,20956</td>
              <td>-0,20429</td>
              <td>0,27045</td>
              <td>0,72013<xref ref-type="table-fn" rid="idm1842346436">*</xref></td>
              <td>-0,3272</td>
            </tr>
            <tr>
              <td>Tg</td>
              <td>1,5133</td>
              <td>0,67082</td>
              <td>-0,0510</td>
              <td>0,02758</td>
              <td>-0,08214</td>
              <td>1,00000</td>
              <td>-0,1423</td>
              <td>0,17619</td>
              <td>0,18359</td>
              <td>-0,05889</td>
              <td>-0,06151</td>
              <td>0,20173</td>
            </tr>
            <tr>
              <td>HDLChol</td>
              <td>0,73899</td>
              <td>0,23639</td>
              <td>0,27102</td>
              <td>-0,3800</td>
              <td>-0,00505</td>
              <td>-0,18523</td>
              <td>1,00000</td>
              <td>0,261370</td>
              <td>-0,04763</td>
              <td>-0,33535</td>
              <td>0,204694</td>
              <td>0,09268</td>
            </tr>
            <tr>
              <td>Fn</td>
              <td>2,7428</td>
              <td>0,75713</td>
              <td>0,35899</td>
              <td>-0,0824</td>
              <td>-0,20956</td>
              <td>0,17619</td>
              <td>0,18798</td>
              <td>1,00000</td>
              <td>0,14902</td>
              <td>-0,5176<xref ref-type="table-fn" rid="idm1842346436">*</xref></td>
              <td>-0,14665</td>
              <td>0,5141<xref ref-type="table-fn" rid="idm1842346436">*</xref></td>
            </tr>
            <tr>
              <td>CRP</td>
              <td>3,42933</td>
              <td>2,42523</td>
              <td>0,26903</td>
              <td>0,06806</td>
              <td>-0,28679</td>
              <td>0,08272</td>
              <td>0,04763</td>
              <td>0,312157</td>
              <td>1,00000</td>
              <td>-0,17570</td>
              <td>-0,22048</td>
              <td>-0,0141</td>
            </tr>
            <tr>
              <td>MDA</td>
              <td>3,0389</td>
              <td>0,35337</td>
              <td>-0,1505</td>
              <td>0,12770</td>
              <td>0,27045</td>
              <td>-0,0589</td>
              <td>-0,2549</td>
              <td>-0,5176<xref ref-type="table-fn" rid="idm1842346436">*</xref></td>
              <td>-0,33246</td>
              <td>1,00000</td>
              <td>-0,00953</td>
              <td>-0,66<xref ref-type="table-fn" rid="idm1842346436">*</xref></td>
            </tr>
            <tr>
              <td>TChol</td>
              <td>3,7917</td>
              <td>1,17389</td>
              <td>0,26608</td>
              <td>0,10780</td>
              <td>0,72013<xref ref-type="table-fn" rid="idm1842346436">*</xref></td>
              <td>-0,0615</td>
              <td>0,40520</td>
              <td>-0,14665</td>
              <td>-0,11236</td>
              <td>-0,00953</td>
              <td>1,00000</td>
              <td>0,01292</td>
            </tr>
            <tr>
              <td>TAA</td>
              <td>0,0257</td>
              <td>0,00396</td>
              <td>0,39186</td>
              <td>0,29759</td>
              <td>-0,32718</td>
              <td>0,20173</td>
              <td>0,07880</td>
              <td>0,5141<xref ref-type="table-fn" rid="idm1842346436">*</xref></td>
              <td>0,11784</td>
              <td>-0,6593*</td>
              <td>0,01292</td>
              <td>1,0000</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1842346436">
            <label>*</label>
            <p>- statistically significant correlations</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec id="idm1842342620">
      <title> Discussion</title>
      <p>Acknowledged risk factors of atherosclerosis include hypercholesterolemia, hypertension, smoking, gender, diabetes mellitus, and family history, obesity and lack of exercise, an imbalanced lipid metabolism, consumed food (animal fat, plant oil, carbohydrates, vegetables/fruits), impairments in immune response entailing a chronic inflammation of the arterial               wall <xref ref-type="bibr" rid="ridm1842148548">11</xref><xref ref-type="bibr" rid="ridm1842133708">12</xref><xref ref-type="bibr" rid="ridm1842132484">13</xref><xref ref-type="bibr" rid="ridm1842127084">14</xref><xref ref-type="bibr" rid="ridm1842126364">15</xref><xref ref-type="bibr" rid="ridm1842122836">16</xref><xref ref-type="bibr" rid="ridm1842108804">17</xref><xref ref-type="bibr" rid="ridm1842105348">18</xref>. In the last decade, several biological compounds that cause abnormal coagulation and reduce fibrinolysis, remodeling of the cardiovascular system, inflammation, cell adhesion, and infection,  have been identified as new risk factors for the development of atherosclerosis <xref ref-type="bibr" rid="ridm1842102324">19</xref><xref ref-type="bibr" rid="ridm1842114132">20</xref><xref ref-type="bibr" rid="ridm1842110460">21</xref><xref ref-type="bibr" rid="ridm1842080972">22</xref><xref ref-type="bibr" rid="ridm1842076364">23</xref><xref ref-type="bibr" rid="ridm1842073916">24</xref><xref ref-type="bibr" rid="ridm1842072116">25</xref>. Numerous studies were aimed at identifying causal relationships between these risk factors and assessing the leading among them <xref ref-type="bibr" rid="ridm1842072116">25</xref><xref ref-type="bibr" rid="ridm1842048076">26</xref><xref ref-type="bibr" rid="ridm1842044620">27</xref><xref ref-type="bibr" rid="ridm1842040444">28</xref>.</p>
      <p>In our research, we attempted to determine the main risk factors for atherosclerosis and its main pathogenetic mechanisms in the employees of the cleaning service in Tbilisi (Georgia).</p>
      <p>If in the combined group (I+II) there are several of reliable correlations between the age -TChol, age-MDA, BMI-Tg, BMI-MDA, LDL-Chol - HDL-Chol, LDLChol – TChol, HDLChol - TChol, LDLChol - MDA, LDLChol - TAA; no correlation between these parameters in individual groups (I and II) was found. That with a high probability (if the cohort power is sufficient) indicates that we have an imaginary correlation related to the large intergroup difference between the average values of the indicators of each group. That is, in the pathological process changes the values of the parameters, but there is no causal relationship between them.</p>
      <p>In the combined (I+II) group, LDLChol is highly correlated with TCol, but this is entirely due to the high correlation of LDLChol - TChol in the low-risk group, and the inter-group differences in mean values of these parameters. </p>
      <p>A similar circumstance is found in the relation of the correlation between Fn and redox status parameters (TAA, MDA) - in the combined group (I+II)  Fn and redox status parameters does not show a correlation, while in the case of intra-group analysis,  there is a reliable correlation in the low-risk group II, which is perfectly understandable from the position of the compensatory response of the redox system during inflammation. Therefore, this means that in the pathological process, the values of various indicators change, but there is no causal relationship between these alterations.  From these positions, most of the correlations observed in the combined group (I+II) may be just an imaginary correlation associated with shifts in the values of pathogenetically independent indicators.</p>
      <p>The situation is different concerning the                  TAA-MDA correlation: in the combined group (I+II), although there is a reliable TAA-MDA correlation, this is only because the average TAA is significantly higher in the low-risk group (II) than in the high-risk group ( I), and high anticorrelation between the values of the TAA and MDA parameters in the low-risk group (II).  The above analysis indicates both the leading role of redox status in the development of pathological processes and the diagnostic value of redox status indicators.</p>
    </sec>
    <sec id="idm1842344060" sec-type="conclusions">
      <title>Conclusion</title>
      <p>Results of the correlation analysis between the studied parameters of patients show that age, obesity, arterial hypertension, and high LDLChol level reveal as independent risk-factors of atherosclerosis; the nervous stress, obesity excess consumption of the carbohydrates, smoking and low HDLChol level play the additional pathogenic role. The results analysis indicates both the diagnostic value of redox status indicators and their leading role in the atherogenesis processes. In populations with a high risk of atherosclerosis, monitoring of serum TAA is recommended.</p>
      <sec id="idm1842343916">
        <title>Abbreviation</title>
        <p>TChol – total cholesterol</p>
        <p>LDLChol – low-density lipoprotein cholesterol</p>
        <p>HDLChol – high-density lipoprotein cholesterol</p>
        <p>Tg – triglycerides</p>
        <p>Fn – fibrinogen; CPR - C reactive protein</p>
        <p>ECG – Electrocardiography</p>
        <p>TAA - total antioxidant activity</p>
        <p>MDA – Malondialdehyde</p>
        <p>TBA - Thiobarbitoric acid</p>
        <p>ANOVA - Analysis of variance</p>
        <p>BMI -  body mass index </p>
      </sec>
    </sec>
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