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  <front>
    <journal-meta id="journal-meta-1">
      <journal-id journal-id-type="nlm-ta">Science &amp; Technology Development Journal</journal-id>
      <journal-id journal-id-type="publisher-id">Science &amp; Technology Development Journal</journal-id>
      <journal-id journal-id-type="journal_submission_guidelines">http://www.scienceandtechnology.com.vn/</journal-id>
      <journal-title-group>
        <journal-title>Science and Technology Development Journal</journal-title>
      </journal-title-group>
      <issn publication-format="print"/>
    </journal-meta>
    <article-meta id="article-meta-1">
      <article-id pub-id-type="doi">10.15419/bmrat.v11i4.875</article-id>
      <title-group>
        <article-title id="at-75eb9d33b16b">Impact of Anthropometric and Genetic Factors on Plasma SIRT1 Level in Men with Essential Hypertension and Heart Failure</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0000-0003-3804-3818</contrib-id>
          <name id="n-773b9b139b44">
            <surname>Leonidivna</surname>
            <given-names>Starzhynska Olha</given-names>
          </name>
          <email>docstarzhynska@gmail.com</email>
          <xref id="x-c7cb9bc9bd63" rid="a-ff810be9513c" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8122-051X</contrib-id>
          <name id="n-01db0f399d4a">
            <surname>Oleksandrovych</surname>
            <given-names>Donets Andrii</given-names>
          </name>
          <xref id="x-310c8224ae0d" rid="a-ff810be9513c" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6392-3289</contrib-id>
          <name id="n-bc883b4c0cb8">
            <surname>Vyacheslavivna</surname>
            <given-names>Maiko Olena</given-names>
          </name>
          <xref id="x-7b0a79fb3d59" rid="a-ff810be9513c" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6542-9313</contrib-id>
          <name id="n-03f4ca4c6502">
            <surname>Mykolayovych</surname>
            <given-names>Zhebel Vadym</given-names>
          </name>
          <xref id="x-ba65786978d4" rid="a-ff810be9513c" ref-type="aff">1</xref>
        </contrib>
        <aff id="a-ff810be9513c">
          <institution>National Pirogov Memorial Medical University, Vinnytsya, Ukraine</institution>
        </aff>
      </contrib-group>
      <volume>11</volume>
      <issue>4</issue>
      <fpage>6289</fpage>
      <lpage>6296</lpage>
      <permissions/>
      <abstract id="abstract-8c257b7e82e2">
        <title id="abstract-title-0a6558806a95">Abstract</title>
        <p id="paragraph-c06584ac2ba1"><bold id="s-963c0dd4799e">Introduction</bold>: Sirtuin 1 (SIRT1) emerges as a promising biomarker for heart remodeling in the context of essential arterial hypertension (EAH). Additionally, the levels of certain plasma peptides might signal myocardial fibrosis and the progression of heart failure (HF) in hypertensive patients. Despite this potential, conflicting data exist regarding the marker's diagnostic value in HF patients. This study aims to explore the impact of anthropometric factors on plasma SIRT1 levels in men diagnosed with EAH and HF, considering the rs7069102 single nucleotide polymorphism (SNP) in the SIRT1 gene. <bold id="s-d29f70caf874">Methods</bold>: The study included an examination of 190 Ukrainian men aged between 40 and 65. The participants were divided into two groups: a control group, consisting of 70 individuals without cardiovascular disease (CVD), and a study group comprising 120 men with EAH, 60 of whom displayed signs of HF. Plasma SIRT1 levels were quantified using an enzyme-linked immunosorbent assay (ELISA), while the rs7069102 C/G polymorphism in the SIRT1 gene was detected through allele-specific polymerase chain reaction (PCR). The research employed various statistical methods, including correlation analysis, T-test, Mann-Whitney U test, one-way ANOVA, and analysis of contingency tables for data analysis. <bold id="s-b892924d872c">Results</bold>: The investigation revealed that men suffering from EAH and HF exhibited significantly reduced plasma SIRT1 levels (1.550 ± 0.084 ng/ml) compared to those with EAH but without HF (3.271 ± 0.238 ng/ml, p &lt; 0.001). Notably, hypertensive men with concurrent HF and obesity or those with an early onset of hypertension showed even lower plasma SIRT1 concentrations. Interestingly, the analysis found no significant difference in plasma SIRT1 levels among individuals in the control group and EAH patients without HF across different rs7069102 C/G SNP variants. However, among hypertensive men with HF, individuals with the GG genotype displayed considerably lower plasma peptide levels compared to those with either the CC or CG genotype (1.390 ± 0.092 ng/ml <italic id="e-bdf0ce13fb1e">vs</italic>. 1.744 ± 0.126 ng/ml, p = 0.032). <bold id="s-6e988e101459">Conclusion</bold>: This study highlights a significant association between reduced plasma SIRT1 levels and heart failure in male patients with EAH. Factors contributing to decreased plasma peptide levels include obesity, early onset of hypertension, and possessing the GG variant of the rs7069102 SNP in the SIRT1 gene. These findings underscore the potential of SIRT1 as a marker for HF and may guide future therapeutic strategies.</p>
      </abstract>
      <kwd-group id="kwd-group-1">
        <title>Keywords</title>
        <kwd>essential hypertension</kwd>
        <kwd>heart failure</kwd>
        <kwd>obesity</kwd>
        <kwd>SIRT1 gene (rs7069102)</kwd>
        <kwd>sirtuin 1</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec>
      <title id="t-ecc4192aee20">Introduction</title>
      <p id="p-d36cdaa6ef10">Currently, there's a concerning trend in the global increase of heart failure (HF) and associated mortality rates. For instance, approximately 6.7 million Americans are afflicted with HF. This number is predicted to rise, with the lifetime risk of complications soaring to 24%<bold id="s-3dbd9d91ea10"><xref id="x-2c29aadb2e27" rid="R233331730807943" ref-type="bibr">1</xref></bold>. Arterial hypertension (AH) emerges as the most frequent cause or comorbidity linked with HF. Indeed, 80-90% of HF patients exhibit some form of AH, as hypertension-induced myocardial damage critically impairs heart function<bold id="s-67701cee0f4e"><xref id="x-d1b8be548bbb" rid="R233331730807944" ref-type="bibr">2</xref></bold>. Therefore, the early detection of HF in individuals with hypertension is crucial. Utilizing biomarkers has proven to be an effective diagnostic approach. Of particular interest is the peptide sirtuin 1 (SIRT1), an enzyme protein that plays a key role in moderating apoptosis, energy metabolism, and influences life expectancy of cardiomyocytes by acting at both subcellular and epigenetic levels<bold id="s-3c44e2f2da8c"><xref rid="R233331730807945" ref-type="bibr">3</xref>, <xref rid="R233331730807946" ref-type="bibr">4</xref>, <xref rid="R233331730807947" ref-type="bibr">5</xref></bold>. Research has linked SIRT1 expression with fibrotic processes in the heart and vascular wall<bold id="s-d4d1dd4cf198"><xref rid="R233331730807948" ref-type="bibr">6</xref>, <xref rid="R233331730807949" ref-type="bibr">7</xref></bold>, suggesting that plasma levels of this peptide could serve as indicators of myocardial dysfunction. The diagnostic potential of plasma SIRT1 levels for HF is supported by clinical studies, which show significant changes in patients with AH or those exhibiting clinical signs of HF<bold id="s-99f33b0bb32d"><xref rid="R233331730807950" ref-type="bibr">8</xref>, <xref rid="R233331730807951" ref-type="bibr">9</xref>, <xref rid="R233331730807952" ref-type="bibr">10</xref>, <xref rid="R233331730807953" ref-type="bibr">11</xref></bold>. Yet, the data on its diagnostic utility among HF patients are mixed and sometimes contradictory, leaving several questions unanswered. Notably, factors such as age<bold id="s-d2d4aeeb02fd"><xref rid="R233331730807954" ref-type="bibr">12</xref>, <xref rid="R233331730807955" ref-type="bibr">13</xref></bold>, and distinct effects of obesity across genders<bold id="s-a9bd7566ecb5"><xref rid="R233331730807956" ref-type="bibr">14</xref>, <xref rid="R233331730807957" ref-type="bibr">15</xref></bold>, can influence SIRT1 levels. Furthermore, the findings on plasma SIRT1 levels vary across different cardiovascular diseases (CVD), suggesting the need for targeted evaluation of plasma peptide levels in HF patients, considering potential genetic, age, gender, and anthropometric differences.</p>
      <p id="p-03a8366b52ac">A crucial factor in a biomarker’s clinical application is understanding the genetic basis of its production. The gene controlling SIRT1 is located on chromosome 10q21.3 (ENSG00000096717). Research has explored several single nucleotide polymorphisms (SNPs) potentially impacting SIRT1 expression or structure: rs11599176, rs12413112, rs33957861, rs35689145, rs7896005<bold id="s-c0642f0b13b6"><xref rid="R233331730807958" ref-type="bibr">16</xref>, <xref rid="R233331730807959" ref-type="bibr">17</xref></bold>. Among these, the SNP with a cytosine to guanine substitution (C&gt;G) at position rs7069102 stands out due to its significant impact on peptide expression and consequent plasma SIRT1 levels<bold id="s-eeec25f4fea7"><xref id="x-b738ee20e57c" rid="R233331730807960" ref-type="bibr">18</xref></bold>. Studies reveal considerable variation in the prevalence of this SNP's variants across different populations (data sourced from the 1000 Genomes Project on https://www.ensembl.org), underscoring the importance of conducting region-specific research.</p>
      <p id="p-ad5a97c0f3bc">Given the multiple factors influencing plasma SIRT1 levels, we embarked on a cross-sectional study to delve into some of these aspects. The study’s objective was to explore potential anthropometric influences on plasma SIRT1 levels in hypertensive men with chronic HF, specifically considering the rs7069102 C&gt;G polymorphism within the SIRT1 gene.</p>
    </sec>
    <sec>
      <title id="t-b2487967e00c">Methods</title>
      <sec>
        <title id="t-9030d6ee1d36">Patients</title>
        <p id="p-6b6ad24ae04b">In planning our study groups, we drew inspiration from the designs of similar studies. Using the G*Power calculator (http://www.gpower.hhu.de/), we estimated a statistical power of 0.85 and a significance level of p &lt; 0.05 to determine the minimum necessary group size. Accordingly, we enrolled 120 hypertensive men and 70 non-cardiovascular disease (CVD) men, who underwent examinations at the Vinnytsya Regional Diagnostic and Disease Prevention Center (VRDDP) in Vinnytsya, Ukraine, as our protocol dictates. The National Pirogov Memorial Medical University's (NPMMU) ethical committee, located in Vinnytsya, Ukraine, sanctioned our research protocol. Prior to commencing any procedure, informed consent was duly obtained from all participants who signed the required documents. We set the inclusion criteria to male individuals aged 40 to 65 years, residing in the Podil region of Ukraine, and diagnosed with essential arterial hypertension (EAH). Exclusion criteria were individuals with symptomatic arterial hypertension (AH), a history of myocardial infarction or unstable angina, significant congenital heart defects, arrhythmia, non-coronary myocardial diseases, pulmonary arterial hypertension, and severe kidney or liver dysfunction, alongside known rheumatological, endocrine, or oncological diseases. Data influencing our exclusion criteria included age, sex, and concurrent diseases' impact on plasma SIRT1 levels. The primary study group had an average age of 50.93 ± 0.449 years with an EAH diagnosis. Seventy control group participants showed no CVD signs, averaging 49.03 ± 0.794 years. Diagnoses followed the 2018 and 2021 European Society of Cardiology (ESC) guidelines, segregating 120 hypertensive men based on heart failure (HF) signs into two groups of 60: one showing no HF symptoms and the other displaying NYHA class II-III HF symptoms. Participants underwent extensive evaluations, including physicals, lab tests, blood pressure measurement, electrocardiography, echocardiography, and plasma SIRT1 level and SIRT1 gene rs7069102 C/G polymorphism analysis. Body mass index (BMI) calculations used the Quetelet formula (BMI = body weight (kg)/height<sup id="s-b111d5e2d27b">2</sup> (cm)), classifying obesity according to WHO guidelines.</p>
      </sec>
      <sec>
        <title id="t-bc2240d81825">Blood Samples</title>
        <p id="p-3b1fc8c99a3b">We assessed plasma SIRT1 levels and the rs7069102 SNP variant in the SIRT1 gene from venous blood samples of all participants. The SIRT1 plasma concentration was measured using the standard ELISA method with RayBiotech, Inc. (USA) reagents and a Humareader single enzyme analyzer (Germany). This choice was backed by ELISA's proven accuracy, specificity, and widespread clinical use.</p>
        <p id="p-48584186fd28">Genomic DNA extracted from whole blood was used to determine the rs7069102 C/G polymorphism in the SIRT1 gene, employing the DNA-EXTRAN-1 reagent kit for extraction. The allele-specific polymerase chain reaction (PCR), a method renown for SNP analysis effectiveness, facilitated the detection of SIRT1 gene alleles at the rs7069102 position by tracking the fluorescent signal of the amplified products (Thermo Fisher Scientific, USA).</p>
      </sec>
      <sec>
        <title id="t-b2b2b8f6ab70">Statistical Analysis</title>
        <p id="p-667a1f286d14">We presented our findings as mean (M ± SEM) or percentages. Depending on the data distribution, we applied appropriate statistical methods to discern correlations or differences between groups. These included parametric (Pearson correlation, t-test) and non-parametric (Spearman correlation, Mann-Whitney U test) methods, one-way ANOVA with the Tukey criterion for parametric data, or the Kruskal–Wallis test for non-parametric data. We employed the χ2 Pearson criterion with Yates correction to assess differences in observation frequencies, especially for smaller group analyses. Differences were considered significant at p &lt; 0.05.</p>
        <p id="p-5713b8defe64"/>
        <p id="p-9db622af5bd5"/>
        <fig id="f-af7a2253ad9b" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 1 </label>
          <caption id="c-1799b6d9f58a">
            <title id="t-8197836c0f79"><bold id="s-e03c7bfa29be">Plasma concentration of SIRT1 in the study groups</bold>.<bold id="s-63772f1e48c6">Abbreviations</bold>: <bold id="s-d22aaa0d32ab">CHF</bold>: and chronic heart failure, <bold id="s-f8412a27770e">EAH</bold>: essential arterial hypertension, <bold id="s-c8a041513e3a">SIRT1</bold>: sirtuin 1. Data are shown as Mean.</title>
          </caption>
          <graphic id="g-54ca9e3d1f34" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/5de8aa8e-6015-49e1-84ff-425973025623/image/5102436f-2002-4581-acf9-42241d1978d7-u131-1703589540-figure1-rvs.jpg"/>
        </fig>
        <p id="p-d567623549a9"/>
        <p id="p-c58f461543f2"/>
        <fig id="f-296ab0104781" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 2 </label>
          <caption id="c-5f7fdf5be8cb">
            <title id="t-07d6336e1df9"><bold id="s-7f2084dcbebc">Plasma concentration of SIRT1 in hypertensive men with different BMI</bold>. </title>
            <p id="p-0a3b668128ed"><bold id="s-ea49b407d08a">Notes</bold>: <bold id="s-65434548ea07">BMI</bold>: body mass index, <bold id="s-aaa50e05dc98">SIRT1</bold>: sirtuin 1. Data are shown as Mean.</p>
          </caption>
          <graphic id="g-ed1cc78dfd9a" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/5de8aa8e-6015-49e1-84ff-425973025623/image/6acaf47f-a82b-468b-b2fc-be5a7042f863-u131-1703589540-figure2-rvs.jpg"/>
        </fig>
        <p id="p-f1464dbf9964"/>
        <p id="p-39a246d26879"/>
        <table-wrap id="tw-39628fe4bce8" orientation="portrait">
          <label>Table 1</label>
          <caption id="c-a04e4c4e050e">
            <title id="t-c682b721f618">
              <bold id="s-88ef3c1f7781">Clinical characteristics of the study groups (М ± m, %)</bold>
            </title>
          </caption>
          <table id="table-1" rules="rows">
            <colgroup>
              <col width="25.96"/>
              <col width="24.04"/>
              <col width="25"/>
              <col width="25"/>
            </colgroup>
            <thead id="table-section-header-5c65d4d4a731">
              <tr id="tr-8dc1214c34d3">
                <th id="tc-1f22cb2e9034" align="left">
                  <p id="p-527a3a211f12">Parameters</p>
                </th>
                <th id="tc-3a7390b46851" align="center">
                  <p id="p-7e9d62cda40e">Control group (n=70)</p>
                </th>
                <th id="tc-57f1e6520102" align="center">
                  <p id="p-8c450c9ad6c4">Group EAH without CHF (n=60)</p>
                </th>
                <th id="tc-5573801b1ddf" align="center">
                  <p id="p-6d675090491d">Group EAH with CHF (n=60)</p>
                </th>
              </tr>
            </thead>
            <tbody id="table-section-1">
              <tr id="table-row-2">
                <td id="table-cell-5" align="left">
                  <p id="p-97626464b4f2">Age, years</p>
                </td>
                <td id="table-cell-6" align="center">
                  <p id="p-efe455830eb9">49.03±0.792</p>
                </td>
                <td id="table-cell-7" align="center">
                  <p id="p-4125be45cc8d">50.03±0.675</p>
                </td>
                <td id="table-cell-8" align="center">
                  <p id="p-4f299b3b35bb">52.02±0.757</p>
                </td>
              </tr>
              <tr id="table-row-3">
                <td id="table-cell-9" align="left">
                  <p id="p-d62a90782118">Body weight, кg</p>
                </td>
                <td id="table-cell-10" align="center">
                  <p id="p-27b8cf48ac49">79.06±1.014</p>
                </td>
                <td id="table-cell-11" align="center">
                  <p id="p-a31c000a3852">80.12±1.307</p>
                </td>
                <td id="table-cell-12" align="center">
                  <p id="paragraph-12">88.67±1.510<sup id="s-109a4bb7e89a">*#</sup></p>
                </td>
              </tr>
              <tr id="table-row-4">
                <td id="table-cell-13" align="left">
                  <p id="p-0ec8bc5da5a2">BMI, кg/m<sup id="s-7940a960e2d6">2</sup></p>
                </td>
                <td id="table-cell-14" align="center">
                  <p id="paragraph-14">25.23±0.268</p>
                </td>
                <td id="table-cell-15" align="center">
                  <p id="paragraph-15">25.92±0.394</p>
                </td>
                <td id="table-cell-16" align="center">
                  <p id="p-1180576753f3">29.38±0.547<sup id="s-fc5018c70bcf">*#</sup></p>
                </td>
              </tr>
              <tr id="table-row-5">
                <td id="table-cell-17" align="left">
                  <p id="paragraph-17">GFR, ml/min/1.73 m² </p>
                </td>
                <td id="table-cell-18" align="center">
                  <p id="paragraph-18">111.4±2.473</p>
                </td>
                <td id="table-cell-19" align="center">
                  <p id="p-09779c076aa1">105.7±2.673</p>
                </td>
                <td id="table-cell-20" align="center">
                  <p id="paragraph-20">95.63±1.709<sup id="s-ae89162ea274">*#</sup></p>
                </td>
              </tr>
              <tr id="table-row-6">
                <td id="table-cell-21" align="left">
                  <p id="paragraph-21">Age of EAH onset, years</p>
                </td>
                <td id="table-cell-22" align="center">
                  <p id="p-0ca28583decd">-</p>
                </td>
                <td id="table-cell-23" align="center">
                  <p id="paragraph-23">48.98±1.119</p>
                </td>
                <td id="table-cell-24" align="center">
                  <p id="paragraph-24">35.77±1.120<sup id="s-fc283cd8abbc">#</sup></p>
                </td>
              </tr>
              <tr id="table-row-7">
                <td id="table-cell-25" align="left">
                  <p id="paragraph-25">Duration of EAH, years</p>
                </td>
                <td id="table-cell-26" align="center">
                  <p id="paragraph-26">-</p>
                </td>
                <td id="table-cell-27" align="center">
                  <p id="paragraph-27">9.14±0.773</p>
                </td>
                <td id="table-cell-28" align="center">
                  <p id="paragraph-28">13.53±0.771<sup id="s-b3454f6a35fe">#</sup></p>
                </td>
              </tr>
              <tr id="table-row-8">
                <td id="table-cell-29" align="left">
                  <p id="paragraph-29">Obese persons, n (%)</p>
                </td>
                <td id="table-cell-30" align="center">
                  <p id="paragraph-30">3 (4.29%)</p>
                </td>
                <td id="table-cell-31" align="center">
                  <p id="paragraph-31">8 (13.34%)</p>
                </td>
                <td id="table-cell-32" align="center">
                  <p id="paragraph-32">31 (57.67%)<sup id="s-b6e363c017d1">&amp;</sup></p>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn-group>
              <fn id="f-01a27e631077">
                <p id="p-4db595a9c859"><bold id="s-c31dcae0da81">Notes</bold>: * differences are significant when compared with the control group, p &lt; 0.01; # the differences are significant when compared with the EAH group without CHF, p &lt; 0.01; &amp; differences are reliable when comparing between groups, χ<sup id="s-8c611b99629b">2 </sup>= 47.74, p &lt; 0.001; <bold id="s-9ee6dd94e3db">BMI</bold>: body mass index, <bold id="s-cda9ecbd9ce8">CHF</bold>: chronic heart failure, <bold id="s-dc205842195a">EAH</bold>: essential arterial hypertension, <bold id="s-a9ef63c06469">GFR</bold>: glomerular filtration rate. </p>
              </fn>
            </fn-group>
          </table-wrap-foot>
        </table-wrap>
        <p id="paragraph-33"> </p>
        <p id="p-43f19fa55727"/>
        <table-wrap id="tw-b3130f976ccf" orientation="portrait">
          <label>Table 2</label>
          <caption id="c-f8c39a1efe3a">
            <title id="t-227dc816067e">
              <bold id="s-00ec62562bed">Plasma SIRT1 levels in individuals with different variants of SNP of the SIRT1 gene (rs7069102), (M ± m)</bold>
            </title>
          </caption>
          <table id="t-9dbdd884043f" rules="rows">
            <colgroup>
              <col width="23.47"/>
              <col width="26.53"/>
              <col width="25"/>
              <col width="25"/>
            </colgroup>
            <thead id="table-section-header-78bb894702d0">
              <tr id="tr-46e7710ed25f">
                <th id="tc-3c990f305d7c" align="left">
                  <p id="p-6f152d90cfd7">Groups</p>
                </th>
                <th id="tc-877d08eb79c7" align="left">
                  <p id="p-bfda128d5431">Control group (n = 70)</p>
                </th>
                <th id="tc-5985e1f03817" align="left">
                  <p id="p-f5be2d181741">Group EAH without CHF (n = 60)</p>
                </th>
                <th id="tc-c568f8500925" align="left">
                  <p id="p-1faaf7109e2c">Group EAH with CHF (n = 60)</p>
                </th>
              </tr>
            </thead>
            <tbody id="ts-02e05194efc6">
              <tr id="tr-cddb07ed13bb">
                <td id="tc-8d12f713ccbe" align="left">
                  <p id="p-ca7a1e3e8f58">Individuals with variant СС+CG  (n = 101)</p>
                </td>
                <td id="tc-4670939e0e3a" align="center">
                  <p id="p-0b8d1c1e4b0e">2.024±0.113</p>
                </td>
                <td id="tc-69a64215792f" align="center">
                  <p id="p-e2f71a7aef9d">3.474±0.370<sup id="s-c0462055d320">#</sup></p>
                </td>
                <td id="tc-1cb070b1498d" align="center">
                  <p id="p-fa5abe90a8b0">1.744±0.126<sup id="s-8375747a68e7">&amp;</sup></p>
                </td>
              </tr>
              <tr id="tr-9bb198a97cf0">
                <td id="tc-c96c8f9719e3" align="left">
                  <p id="p-b4d87156e9fc">Homozygotes GG (n = 89)</p>
                </td>
                <td id="tc-5a71b2f0702b" align="center">
                  <p id="p-b693fba419cd">1.668±0.160</p>
                </td>
                <td id="tc-36c4b4510c03" align="center">
                  <p id="p-21c6ec7222ea">3.091±0.308<sup id="s-6f1877c4bd98">#</sup></p>
                </td>
                <td id="tc-51381e12c4de" align="center">
                  <p id="p-caacb04c4325">1.390±0.092<sup id="s-47accc3fc870">*&amp;</sup></p>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn-group>
              <fn id="f-c71efda4ccdb">
                <p id="p-fa1f29de91a9"><bold id="s-859ad3bba718">Notes</bold>: * differences are significant when compared with individuals with CC+CG variant, p = 0.032; # significant differences when compared with the control group, p = 0.002; &amp;- the differences are significant in comparison with the EAH group without CHF, p = 0.018; CHF: chronic heart failure, EAH: essential arterial hypertension, SIRT1: sirtuin 1, SNP: single nucleotide polymorphism.</p>
              </fn>
            </fn-group>
          </table-wrap-foot>
        </table-wrap>
        <p id="p-f224149cc757"/>
      </sec>
    </sec>
    <sec>
      <title id="t-98c8e471da72">Results</title>
      <p id="p-5842e3dc41e9">Analysis of plasma SIRT1 concentrations in our study groups showed that men with essential arterial hypertension (EAH) not taking heart failure (HF) into account had significantly higher SIRT1 levels (2.414 ± 0.152 ng/ml) compared to the control group (1.891 ± 0.089 ng/ml, p = 0.014). Yet, among men with both EAH and HF, SIRT1 levels were notably lower (1.550±0.084 ng/ml) than in those with EAH alone (3.271 ± 0.238 ng/ml, p &lt; 0.001) as illustrated in <bold id="s-7baee968b090"><xref id="x-4ec60ae689e1" rid="f-af7a2253ad9b" ref-type="fig">Figure 1</xref></bold>.</p>
      <p id="p-ef82a455882b">Investigating further, we found a clear link between plasma peptide levels and either age or obesity. Upon reviewing the clinical characteristics, we confirmed all study groups were matched by age. However, differences in body weight and BMI were observed, particularly that individuals with both EAH and HF presented higher values compared to either men without any cardiovascular diseases (CVD) or those with EAH but no HF (<bold id="s-a90e0acfaf6b"><xref id="x-e7a24e78c655" rid="tw-39628fe4bce8" ref-type="table">Table 1</xref></bold>).</p>
      <p id="p-315d7690827f">Interestingly, the incidence of obesity was highest in the group suffering from both EAH and HF compared to either the control group or those with solely EAH. This group also displayed distinct hypertension profiles, characterized by earlier disease onset and prolonged duration, alongside notably lower glomerular filtration rates (GFR) than seen in other groups.</p>
      <p id="p-10251af7ab5f">Subsequent correlation analyses between group differences and plasma SIRT1 levels uncovered no age correlation (R=-0.11, p=0.25). Nevertheless, significant correlations emerged regarding GFR (positive, R=+0.22, p=0.02), BMI (negative, R=-0.22, p=0.01), and disease duration (negative, R=-0.33, p&lt;0.001). Exploration into the impact of moderate GFR reduction (60-90 ml/min) revealed no significant deviation in SIRT1 levels from those with normal renal function, suggesting SIRT1 plasma levels could serve as a reliable biomarker unaffected by age or renal status.</p>
      <p id="p-afba3b3198ba">However, the presence of obesity drastically reduced plasma SIRT1 levels (1.432±0.117 ng/ml in obese men <italic id="e-01d8a420dc10">vs</italic>. 2.813±0.190 ng/ml in non-obese men, p&lt;0.001) as shown in Figure 2. Early-onset EAH (up to age 35) was associated with lower SIRT1 levels (1.842±0.172 ng/ml) compared to later onset (2.665±0.187 ng/ml, p=0.009). These observations suggest that a prolonged history of hypertension and a higher prevalence of obesity might explain the decreased SIRT1 levels in patients with both EAH and HF.</p>
      <p id="p-75c48da5da43">Further analysis delved into the genetic influence on SIRT1 production, focusing on the rs7069102 SNP within the SIRT1 gene. Predominantly, in the Podil region of Ukraine, individuals carrying the mutant G allele were prevalent (70.26%). While CG and GG variants were equally distributed (both 46.84%), the CC homozygous variant was rare (6.32%). A detailed exploration of rs7069102 SNP variants revealed that, except for those with HF, SIRT1 plasma concentrations did not significantly differ among the groups, including between GG homozygotes and individuals carrying the CC or CG variants.</p>
      <p id="p-cd182bbb47f3">In conclusion, our research indicates that lower plasma SIRT1 levels in patients with both EAH and HF could be attributed to the interplay between disease duration, obesity, and specific genetic backgrounds. These findings underscore the complex nature of SIRT1 as a biomarker in hypertensive disorders, suggesting a need for more detailed studies to unravel the genetic underpinnings influencing its expression.</p>
    </sec>
    <sec>
      <title id="t-fe4887439f0e">Discussion</title>
      <p id="p-5749b0a1bb2b">We discovered that the plasma SIRT1 level in patients with EAH significantly differs from levels found in healthy volunteers. Research by Duman <italic id="e-988964de8d8b">et al. </italic>suggests that in hypertensive patients, plasma peptide levels are notably higher than those in individuals with normal blood pressure<bold id="s-dd99c2e152cd"><xref rid="R233331730807961" ref-type="bibr">19</xref>, <xref rid="R233331730807962" ref-type="bibr">20</xref>, <xref rid="R233331730807963" ref-type="bibr">21</xref>, <xref rid="R233331730807964" ref-type="bibr">22</xref></bold>. Conversely, other studies have indicated that hypertensive patients exhibit significantly lower plasma peptide concentrations compared to a control group<bold id="s-e88eea71fed7"><xref rid="R233331730807951" ref-type="bibr">9</xref>, <xref rid="R233331730807965" ref-type="bibr">23</xref></bold>. The assessment of SIRT1 in patients with heart failure (HF) showcases varied methodological approaches among researchers. Some studies have examined peptide expression levels in tissues, revealing experimental evidence that cardiomyocyte peptide expression in HF patients is nearly half that of healthy hearts<bold id="s-b94173251a24"><xref id="x-11873fe097e0" rid="R233331730807950" ref-type="bibr">8</xref></bold>. Other analyses, focusing on SIRT1 expression in peripheral blood mononuclear cells, found significantly reduced levels in HF patients<bold id="s-e5a18fcead2a"><xref id="x-a523a149427b" rid="R233331730807961" ref-type="bibr">19</xref></bold>. Despite the use of differing methodologies in these studies, our findings align closely. However, research conducted by Italian scientists reported higher peptide expression in HF patients than in healthy volunteers<bold id="s-9b5a218e3089"><xref id="x-79edb92e1119" rid="R233331730807966" ref-type="bibr">24</xref></bold>. No studies were found examining plasma SIRT1 concentration in hypertensive patients with HF.</p>
      <p id="p-f5f5a770439f">This diversity in results likely stems from the various study designs. When research includes participants of differing genders, ages, and HF etiologies, and employs varied methods for SIRT1 evaluation, interpreting or reproducing study findings becomes challenging. In planning our study, we minimized several variables by ensuring homogeneity in gender, age, and HF etiology within our groups. This approach allowed us to identify potential factors influencing plasma peptide levels: the duration of hypertension, disease severity, presence of obesity, and genetic components.</p>
      <p id="p-7197937f88f8">We observed that plasma SIRT1 concentration in patients with EAH and HF was significantly lower in those with early disease onset and obesity. This contrasts with findings in coronary heart disease (CHD) patients, where plasma peptide levels showed no correlation with anthropometric measures<bold id="s-03bd693b0274"><xref rid="R233331730807967" ref-type="bibr">25</xref>, <xref rid="R233331730807968" ref-type="bibr">26</xref></bold>. Interestingly, Norwegian research identified a correlation between SIRT1 expression and obesity in women, but not in men<bold id="s-5c314cfdc8da"><xref id="x-3ca8e16244fe" rid="R233331730807956" ref-type="bibr">14</xref></bold>. The design of our cross-sectional study limits the generalization of our results, suggesting that men with EAH and HF may exhibit lower SIRT1 levels if obesity is present or if EAH appears early. This could impact the use of this peptide as a diagnostic marker for HF. However, our data supports a hypothesis that early EAH onset and obesity co-morbidity could accelerate HF development through more significant early hypertensive damage to the myocardium, depleting cardiomyocyte SIRT1 reserves. Experimental evidence links low SIRT1 expression in cardiomyocytes to advancing myocardial fibrosis<bold id="s-a49320b881c0"><xref id="x-6a297c53cd97" rid="R233331730807969" ref-type="bibr">27</xref></bold>. Thus, reduced plasma SIRT1 levels could signal depleted myocardial functional reserves in HF development, meriting further longitudinal research.</p>
      <p id="p-06ce177890e4">We also explored the phenotypic significance of the rs7069102 C/G SNP in the SIRT1 gene concerning plasma activity and concentration levels. Minimal available literature exists on this topic. Kilic et al. found no significant differences in plasma peptide levels between carriers of different SNP variants in a general Turkish population<bold id="s-ac6e4c82f3b9"><xref id="x-c2a5d5906884" rid="R233331730807954" ref-type="bibr">12</xref></bold>. Yet, in a CHD patient cohort, GG homozygotes exhibited significantly higher plasma SIRT1 levels compared to other variants<bold id="s-82f8a6014bc7"><xref id="x-c8915cf9af56" rid="R233331730807970" ref-type="bibr">28</xref></bold>. In acute coronary syndrome patients, a higher plasma peptide concentration was linked to the C allele<bold id="s-0e3969ae7104"><xref id="x-7f2774d09cdf" rid="R233331730807971" ref-type="bibr">29</xref></bold>. Little to no information exists on the rs7069102 C/G SNP's effect on plasma SIRT1 levels in HF patients. Our findings indicate low plasma peptide levels among homozygous GG variant carriers in patients with EAH and HF, offering new insights into the rs7069102 C/G polymorphism's phenotypic manifestations in Ukrainian hypertensive men. Given the minor allele G’s varying prevalence across populations, its potential impact on plasma SIRT1 levels could differ globally.</p>
      <p id="p-58a6fb374974">Our results lay the groundwork for further exploring plasma peptide concentrations in EAH patients, considering various heart structure and function disorders that lead to hypertensive heart and HF. The cross-sectional nature of our study precluded investigating other HF progression factors in EAH patients, such as lifestyle or treatment approaches. Consequently, our findings open avenues for detailed analysis of plasma SIRT1 level changes in patients with EH and varied HF phenotypes across different clinical scenarios. This could enhance the diagnostic and prognostic utility of SIRT1, refining the biomarker's application by accounting for significant influences and limitations.</p>
    </sec>
    <sec>
      <title id="t-0982ce0f3887">Conclusions</title>
      <p id="p-ca38da77114c">In male patients diagnosed with exercise-associated hyponatremia (EAH), there was a significant association between lower plasma SIRT1 levels and heart failure (HF). Several factors contributing to reduced plasma peptide levels were identified, including obesity, the early onset of hypertension, and the presence of the GG variant within the rs7069102 single nucleotide polymorphism (SNP) in the SIRT1 gene. These findings enhance our understanding of SIRT1's diagnostic value and its potential limitations as a biomarker for HF in clinical settings. Furthermore, they underscore the necessity for and guide the direction of future research in this area.</p>
    </sec>
    <sec>
      <title id="t-b3bc426352f8">Abbreviations</title>
      <p id="p-50110fc7368c">BMI - Body Mass Index, CHD - Coronary Heart Disease, CVD - Cardiovascular Disease, EAH - Essential Arterial Hypertension, ELISA - Enzyme-Linked Immunosorbent Assay, ESC - European Society of Cardiology, GFR - Glomerular Filtration Rate, HF - Heart Failure, NPMMU - National Pirogov Memorial Medical University, NYHA - New York Heart Association, PCR - Polymerase Chain Reaction, SEM - Standard Error of the Mean, SIRT1 - Sirtuin 1, SNP - Single Nucleotide Polorphism, VRDDP - Vinnytsya Regional Diagnostic and Disease Prevention Center, WHO - World Health Organization</p>
    </sec>
    <sec>
      <title id="t-79d99e6224bc">Acknowledgments </title>
      <p id="p-ab8e38d6f14b">This research received no specific grant from any funding agency in the public, commercial or non-profit sectors. We thank all patients for their participation in the investigation, and the doctors, nurses, and administrative staff of VRSRPD (Vinnytsia, Ukraine) that assisted with the study.</p>
    </sec>
    <sec>
      <title id="t-6edc34baddf6">Author’s contributions</title>
      <p id="p-e0d18b35d281">Starzhynska O.: developed data collection and assessment tools, analysis and interpretation of data, drafting of the manuscript. Donets A.: conducted the initial analysis of the problem, coordinated and supervised data collection on the site. Maiko O.: wrote review, edited of the manuscript. Zhebel V.: developed the study concept and design, edited and approved the final manuscript. All authors read and approved the final manuscript. </p>
    </sec>
    <sec>
      <title id="t-b450677cd57d">Funding</title>
      <p id="p-bbf4078f08dc"> None.</p>
    </sec>
    <sec>
      <title id="t-9938bcf3ead6">Availability of data and materials</title>
      <p id="paragraph-13">Data and materials used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p>
    </sec>
    <sec>
      <title id="t-de6a70600625">Ethics approval and consent to participate</title>
      <p id="paragraph-16">The research protocol was approved by the ethical committee of NPMM, Vinnytsya, Ukraine, which found no deviations from the requirements of the Declaration of Helsinki and the Council of Europe Convention on Human Rights and Biomedicine (1977) and requirements of the current legislation of Ukraine. Before initiating any procedures, all patients provided Informed Consent by signing the appropriate documentation.</p>
    </sec>
    <sec>
      <title id="t-105c5efe21d2">Consent for publication</title>
      <p id="paragraph-19">Not applicable. </p>
    </sec>
    <sec>
      <title id="t-29ccf8a5e92e">Competing interests</title>
      <p id="paragraph-22">The authors declare that they have no competing interests.</p>
    </sec>
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