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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2023.1120445</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Adipokines as predictive factor of cardiac function in pediatric patients with chronic kidney disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Villasis-Keever</surname>
<given-names>Miguel Angel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1167982"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zurita-Cruz</surname>
<given-names>Jessie Nallely</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1078479"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zepeda-Martinez</surname>
<given-names>Claudia</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alegria-Torres</surname>
<given-names>Gabriela</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2181881"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Serret-Montoya</surname>
<given-names>Juana</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Estrada-Loza</surname>
<given-names>Maria de Jesus</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hern&#xe1;ndez-Hern&#xe1;ndez</surname>
<given-names>Beatriz Carolina</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2134467"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alonso-Flores</surname>
<given-names>Sara</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zavala-Serret</surname>
<given-names>Monica</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Research Unit in Analysis and Synthesis of the Evidence, National Medical Center XXI Century, Instituto Mexicano del Seguro Social</institution>, <addr-line>Mexico City</addr-line>, <country>Mexico</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Hospital Infantil de Mexico Federico G&#xf3;mez, Facultad de Medicina Universidad Nacional Aut&#xf3;noma de Mexico</institution>, <addr-line>Mexico City</addr-line>, <country>Mexico</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pediatric Nephology, Children&#x2019;s Hospital, National Medical Center XXI Century, Instituto Mexicano del Seguro Social</institution>, <addr-line>Mexico City</addr-line>, <country>Mexico</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Adolescent Medicine Service, Hospital Infantil de Mexico Federico G&#xf3;mez, Ministry of Health, Secretaria de Salud (SSA)</institution>, <addr-line>Mexico City</addr-line>, <country>Mexico</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Pediatric Cardiology, Children&#x2019;s Hospital, National Medical Center XXI Century, Instituto Mexicano del Seguro Social</institution>, <addr-line>Mexico City</addr-line>, <country>Mexico</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Violeta Iotova, University Hospital St. Marina, Bulgaria</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Vasiliki Karava, Aristotle University of Thessaloniki, Greece; Edoardo La Porta, Department of Nephrology and Kidney Transplantation (IRCCS), Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jessie Nallely Zurita-Cruz, <email xlink:href="mailto:zuritajn@hotmail.com">zuritajn@hotmail.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Pediatric Endocrinology, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1120445</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Villasis-Keever, Zurita-Cruz, Zepeda-Martinez, Alegria-Torres, Serret-Montoya, Estrada-Loza, Hern&#xe1;ndez-Hern&#xe1;ndez, Alonso-Flores and Zavala-Serret</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Villasis-Keever, Zurita-Cruz, Zepeda-Martinez, Alegria-Torres, Serret-Montoya, Estrada-Loza, Hern&#xe1;ndez-Hern&#xe1;ndez, Alonso-Flores and Zavala-Serret</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Adipokines are associated with cardiovascular disease; in chronic kidney disease (CKD) patients adipokines could be useful prognostic factors.</p>
</sec>
<sec>
<title>Objectives</title>
<p>To explore whether leptin and adiponectin in kidney replacement therapy (KRT) children could have a role on their cardiac function, in the long-term.</p>
</sec>
<sec>
<title>Design</title>
<p>Prospective cohort study was performed with pediatric KRT patients, aged 8 to 17 years who were undergoing hemodialysis or peritoneal dialysis. At enrollment, lipid profile, adipokines (leptin, leptin receptor, free leptin, and adiponectin), anthropometric measurements and cardiological evaluation were determined. At two-year follow-up, a new cardiological evaluation was performed. <italic>Statistical analysis</italic>: Quantitative data are presented as median and interquartile range (IQR). Mann-Whitney U test and Chi-squared were used for the between-group comparison. Multivariate analyzes were performed to determine the association of adipokines levels with ventricular ejection fraction (LEVF).</p>
</sec>
<sec>
<title>Results</title>
<p>We included 56 patients, with a median age of 12.5 years. In the first cardiological evaluation, median LVEF was 70.0% (IQR 61%, 76%), 20 patients (35.7%) had some cardiovascular condition, and 10 (17.8%) altered LVEF. At 24-month follow-up, the median LVEF was 70.5% (IQR 65.1%, 77%), while the delta-LVEF values was 3% (IQR -6.5%, 7%). Delta-LVEF were correlated with baseline adipokines serum levels, and the only positive correlation found was with free leptin (r=0.303, p=0.025). In multivariate analysis, levels of free leptin (Coef. 0.12, p&lt;0.036) and leptin (coef. 1.72, p=0.049), as well as baseline LVEF (Coef. -0.65, p&lt;0.001) were associated with delta-LVEF.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Free leptin, leptin and LVEF at the beginning of follow-up were associated with the LVEF decrease at the 24-month follow-up in KRT children.</p>
</sec>
</abstract>
<kwd-group>
<kwd>chronic kidney disease</kwd>
<kwd>leptin</kwd>
<kwd>pediatric</kwd>
<kwd>free leptin</kwd>
<kwd>cardiac function</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="9"/>
<word-count count="4078"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>In recent years, both the prevalence and incidence of chronic kidney disease (CKD) in children have increased (<xref ref-type="bibr" rid="B1">1</xref>). Unlike adult patients, the most common causes of CKD in children are congenital malformations; but the increase in overweight/obesity in children may be a contributing factor as well (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>In adult patients who had CKD during childhood, cardiovascular disease (CVD) is the leading cause of death, with estimates ranging from 23 to 60%. It seems that CVD begins early in CKD children, and arterial hypertension in CKD patients can increase kidney disease progression, due to intraglomerular hypertension, hyperfiltration and increased protein excretion (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). During end-stage CKD, the exhausted adaptive mechanisms and side effects of renal replacement therapy lead to progressive heart failure and accelerated calcification (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Adipose tissue is considered an endocrine organ that produces multiple adipocytokines; leptin and adiponectin stand out because they have been identified as mediators of inflammation and may be important markers of chronic systemic inflammation (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Leptin is a peptide hormone produced by adipocytes, and its serum levels are proportionally correlated to body fat stores (<xref ref-type="bibr" rid="B8">8</xref>). As well, leptin exhibits proinflammatory actions, including upregulating the phagocytic function of macrophages, increasing the production of proinflammatory cytokines, and stimulating reactive oxygen species (<xref ref-type="bibr" rid="B9">9</xref>). In contrast, adiponectin is produced by the mitochondria of adipocytes, and acts as an anti-inflammatory factor, inhibiting the production of proinflammatory cytokines (<xref ref-type="bibr" rid="B10">10</xref>). However, high adiponectin concentrations have been associated with adverse cardiovascular outcomes in adult patients with ischemic heart disease, chronic heart failure and CKD, which has been called the &#x201c;adiponectin paradox&#x201d; (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>In developing countries, such as Mexico, kidney transplantation is performed at a lower rate than in developed countries, and several years may pass before a pediatric patient with end-stage renal disease undergoes kidney transplantation. Therefore, it is important to maintain optimal cardiometabolic conditions in the long term in these patients. Leptin and adiponectin have been considered as prognostic factors for the progression of cardiometabolic disorders in patients with overweight/obesity, but information is lacking or controversial in CKD patients. This study aims to explore whether leptin and adiponectin in kidney replacement therapy (KRT) children could have a role on their cardiac function, in the long-term.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Subjects</title>
<p>A prospective cohort study was carried out from January 2018 to December 2020 at two tertiary pediatric care centers in Mexico City: Hospital de Pediatr&#xed;a (Mexican Institute of Social Security) and Hospital Infantil de M&#xe9;xico Federico G&#xf3;mez (Mexico Ministry of Health). In both centers, all pediatric KRT patients are usually cared for by a multidisciplinary team that includes pediatric nephrologists, pediatric endocrinologists, pediatric cardiologist, psychologists, and nutritionists.</p>
<p>Children aged between 8 and 17 years with stage V CKD according to the Kidney Disease: Improving Global Outcomes (KDIGO) staging scale (<xref ref-type="bibr" rid="B14">14</xref>), and who were receiving peritoneal dialysis or hemodialysis were considered eligible to participate in the study. Patients who were scheduled for kidney transplantation in the next 12 months, with diagnosed with diabetes mellitus, those did not agree to participate, or those who had incomplete clinical and biochemical evaluation data were excluded. The cohort follow-up duration was 24 months. All included patients were selected using a consecutive sampling technique.</p>
<p>According to the Declaration of Helsinki, the protocol was approved by hospitals&#x2019; ethics and research committees, under registry numbers: R-2018-3603-075 &amp; HIM-2017-117. A parent or legal guardian signed an informed consent form, and each child provided written assent.</p>
</sec>
<sec id="s2_2">
<title>Anthropometry</title>
<p>The anthropometric indicators of each patient were recorded by a certified nutritionist. Height was measured to the nearest 0.1&#xa0;cm with a SECA model 769 stadiometer (SECA 769, SECA Corp. Oakland Center Columbia, MD, USA). Weight and body fat percentage measurements were conducted using the bioimpedance method (Tanita BC-568 Segmental Body Composition Monitor, Tokyo, Japan) with the patients barefoot and wearing only underwear. Anthropometric measurements were performed both, at the beginning and at the end of the 24-month follow-up.</p>
</sec>
<sec id="s2_3">
<title>Serum hormones and biochemistry level measurements</title>
<p>Blood samples were obtained from the forearm of each subject <italic>via</italic> the antecubital vein, between 7:00 and 8:00 a.m. after a minimum of 12 hours of fasting during the baseline visit. Serum aliquots were separated (centrifuged at 4&#xb0;C; 3000 rpm; 15&#xa0;min) and frozen at -80&#xb0;C until biochemical analysis. Leptin and leptin receptor levels were measured using an enzyme-linked immunosorbent assay (ELISA) (Human Leptin Duo Set, DY 398, Human Leptin Receptor, CAT DY 389, R&amp;D Systems, Minneapolis, MN, USA); Human Adiponectin DuoSet (DY1065), R&amp;D Systems, Minneapolis, MN, USA). Plates were read using an ELISA microplate reader (Labsystems Multiskan EX, MTX Labsystems Inc., Vienna, VA) and were determined in duplicate according to the manufacturer&#x2019;s instructions. The plates were assessed using an ELISA microplate reader (Labsystems Multiskan EX, MTX Labsystems Inc., Vienna, VA) and were assessed in duplicate as per the manufacturer&#x2019;s instructions. Intra- and interassay coefficients of variation &lt;7% were considered acceptable. A standard curve was also generated for each assay. Free leptin levels were calculated by dividing the levels of total leptin by that of leptin receptors (<xref ref-type="bibr" rid="B15">15</xref>). Creatinine and urea levels were determined by colorimetric enzymatic methods (Bayer Diagnostics, Puteaux, France). All electrochemiluminescence immunoassays (ECLIAs) were performed using a COBAS 6000 e601 (Roche Diagnostics GmbH, Indianapolis, IN, USA) in duplicate according to the manufacturer&#x2019;s recommendations. Intra- and interassay coefficients of variation &lt; 7% were considered acceptable. A standard curve was also generated for each assay.</p>
</sec>
<sec id="s2_4">
<title>Cardiology evaluation</title>
<p>Cardiological evaluation was performed by a certified pediatric cardiologist, at baseline and at 24-month follow-up. All patients underwent to a physical examination, chest X-ray, electrocardiogram, as well as echocardiographic evaluation. The latter was performed with Philips iE33 cardiovascular ultrasound machine with xMATRIX 5 MHz, using Pediatric xMATRIX X 2-7 MHz transducers.</p>
</sec>
<sec id="s2_5">
<title>Definitions</title>
<p>Patients with BMI &lt;5<sup>th</sup> percentile were considered malnourished, obesity with BMI &gt; 95<sup>th</sup> percentile, and overweight with BMI &gt; 85<sup>th</sup> percentile, according to the 2000 CDC Growth Charts (<xref ref-type="bibr" rid="B16">16</xref>). Patients with &lt;2 standard deviations of height for age, BMI was calculated considering the age that corresponds to the 50<sup>th</sup> percentile of actual height.</p>
<p>Hemodialysis and peritoneal dialysis treatment adequacy was calculated by Kt/V (K, dialyzer clearance of urea; t, dialysis time; and V, volume of distribution of urea). In hemodialysis patients, Kt/V &gt; 1.2/week was considered adequate; in the case of peritoneal dialysis, when Kt/V &gt; 1.8/week (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>There were two criteria for hypertension according to age: in patients &lt; 13 years, when systolic or diastolic blood pressure was &#x2265;95<sup>th</sup> percentile for age, height, and sex. While for those &gt; 13 years-old, when systolic blood pressure was &#x2265;130 mmHg, or diastolic blood pressure &#x2265;80 mmHg (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Based on the cardiology evaluation, patients with hypertensive cardiomyopathy, dilated cardiomyopathy, aortic valve dysfunction were identified. Patients considered to have altered left ventricular ejection fraction (LVEF) had values &lt;40%, as well as those with LVEF &gt;40% but who also had clinical data of heart failure (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
<sec id="s2_6">
<title>Statistical analyses</title>
<p>Quantitative data are presented with median and interquartile range (IQR) since they did not show normal distribution, according to Shapiro-Wilk test. LVEF delta was calculated by the difference in the LVEF value at the end of follow-up, minus the baseline value, of each patient.</p>
<p>Two groups were formed to carry out the different analyses: with and without altered LVEF; Mann-Whitney U test and Chi-squared were used for the between-group comparison. Baseline cytokine levels were correlated with delta-LVEF values using Pearson&#x2019;s correlation coefficient. Two models of lineal regression analysis were performed to determine the association between basal cytokines levels with delta-LVEF values, adjusted for nutritional status (overweight/obesity), hypertensive cardiomyopathy, hemodialysis and time on renal replacement therapy.</p>
<p>A p-value &lt; 0.05 was considered statistically significant. All analyzes were performed with STATA v.11.0.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>
<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the baseline characteristics of the 56 included patients, noting that 10 patients (17.8%) already had altered LVEF. There were patients from 10 to 14 years-old, with similar sex ratio. The majority had a normal nutritional status (57.1%), and 16 patients (27.9%) were overweight or obese. Regarding the CKD etiology, the most frequent was CAKUT in 46.4% (n=26), followed by glomerulopathy (28.6%, n=16).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline in CPK pediatric patients&#x2019; characteristics, stratified by altered left ventricular ejection fraction <sup>1</sup>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left" rowspan="2">Characteristic</th>
<th valign="middle" align="center" rowspan="2">Total<break/>n = 56</th>
<th valign="middle" colspan="2" align="center">Altered left ventricular ejection fraction</th>
<th valign="middle" rowspan="2" align="center">p<sup>2</sup>
</th>
</tr>
<tr>
<th valign="middle" align="center">No<break/>n = 46</th>
<th valign="middle" align="center">Yes<break/>n = 10</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Age, y</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median (interquartile range)</td>
<td valign="top" align="center">12.5 (10.5, 14.5)</td>
<td valign="top" align="center">12 (11, 15)</td>
<td valign="top" align="center">13 (10, 13)</td>
<td valign="top" align="center">0.827</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sex, %</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">28 (50.0)</td>
<td valign="top" align="center">24 (52.2)</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="center">0.364</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">28 (50.0)</td>
<td valign="top" align="center">22 (47.8)</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Somatometry, median (interquartile range)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Weight, kg</td>
<td valign="top" align="center">35.7 (27.5, 41.2)</td>
<td valign="top" align="center">35.5 (25.4, 41.3)</td>
<td valign="top" align="center">40.5 (23.8, 41.1)</td>
<td valign="top" align="center">0.830</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Height, cm</td>
<td valign="top" align="center">143 (130, 153)</td>
<td valign="top" align="center">144 (130, 152)</td>
<td valign="top" align="center">140 (128, 154)</td>
<td valign="top" align="center">0.089</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Height z score</td>
<td valign="top" align="center">-1.9 (-3.3, -0.9)</td>
<td valign="top" align="center">-1.5 (-3.2, -0.9)</td>
<td valign="top" align="center">-3.6 (-4.1, -1.8)</td>
<td valign="top" align="center">
<bold>0.014</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Body mass index, kg/m<sup>2</sup>
</td>
<td valign="top" align="center">17.4 (16.0, 20.0)</td>
<td valign="top" align="center">17.3 (15.7, 19.1)</td>
<td valign="top" align="center">22.9 (18.5, 23.7)</td>
<td valign="top" align="center">
<bold>0.035</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Body mass index z score</td>
<td valign="top" align="center">-0.06 (-1.09, 1.2)</td>
<td valign="top" align="center">-0.15 (-1.1, 1.1)</td>
<td valign="top" align="center">0.09 (-0.9, 2.0)</td>
<td valign="top" align="center">0.466</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Nutritional status, %</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">32 (57.1)</td>
<td valign="top" align="center">28 (60.9)</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="center">0.138</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Malnutrition</td>
<td valign="top" align="center">8 (14.3)</td>
<td valign="top" align="center">6 (13.0)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Overweight</td>
<td valign="top" align="center">10 (17.9)</td>
<td valign="top" align="center">9(19.6)</td>
<td valign="top" align="center">0 (10.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Obesity</td>
<td valign="top" align="center">6 (10.7)</td>
<td valign="top" align="center">3 (6.5)</td>
<td valign="top" align="center">4 (30.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Etiology of chronic kidney disease</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CAKUT</td>
<td valign="top" align="center">26 (46.4)</td>
<td valign="top" align="center">20.0 (43.5)</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="center">0.794</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Glomerulopathy</td>
<td valign="top" align="center">16 (28.6)</td>
<td valign="top" align="center">14 (30.4)</td>
<td valign="top" align="center">2 (20.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;immunological</td>
<td valign="top" align="center">4 (7.1)</td>
<td valign="middle" align="center">4 (8.7)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Indeterminate</td>
<td valign="top" align="center">10 (17.9)</td>
<td valign="top" align="center">8 (17.4)</td>
<td valign="top" align="center">2 (20.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Replacement treatment; %</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hemodialysis</td>
<td valign="top" align="center">12 (21.4)</td>
<td valign="top" align="center">8 (17.4)</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="center">0.126</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Peritoneal dialysis</td>
<td valign="top" align="center">44 (78.6)</td>
<td valign="top" align="center">38 (82.6)</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Age at diagnosis of CKD, y</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median (interquartile range)</td>
<td valign="top" align="center">9.0 (5.5, 12.0)</td>
<td valign="top" align="center">10.0 (4.0, 12.0)</td>
<td valign="top" align="center">9.0 (7.0, 9.0)</td>
<td valign="top" align="center">0.575</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Time of renal replacement, months</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median (interquartile range)</td>
<td valign="top" align="center">18.0 (7.0, 31.0)</td>
<td valign="top" align="center">18.0 (7.0, 31.0)</td>
<td valign="top" align="center">15.0 (10.0, 24.0)</td>
<td valign="top" align="center">0.574</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Hypertension, %</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Presence</td>
<td valign="top" align="center">34 (60.7)</td>
<td valign="top" align="center">28 (60.8)</td>
<td valign="top" align="center">6 (60.0)</td>
<td valign="top" align="center">0.613</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Kt/V, l/week</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median (interquartile range)</td>
<td valign="top" align="center">1.88 (1.12, 3.40)</td>
<td valign="top" align="center">2.12 (1.51, 3.42)</td>
<td valign="top" align="center">1.80 (1.11, 2.65)</td>
<td valign="top" align="center">0.751</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Altered</td>
<td valign="top" align="center">15 (26.8)</td>
<td valign="top" align="center">13 (28.3)</td>
<td valign="top" align="center">2 (20.0)</td>
<td valign="top" align="center">0.461</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Left ventricular ejection fraction, %</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;median (interquartile range)</td>
<td valign="top" align="center">70 (61, 76)</td>
<td valign="top" align="center">72 (61, 80)</td>
<td valign="top" align="center">62 (61, 64)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Cardiological assessment, %</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="middle" align="center">36 (64.3)</td>
<td valign="top" align="center">32 (69.7)</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="center">0.124</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hypertensive cardiomyopathy</td>
<td valign="top" align="center">14 (25.0)</td>
<td valign="top" align="center">10 (21.7)</td>
<td valign="top" align="center">4 (40.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Valve dysfunction</td>
<td valign="top" align="center">4 (7.1)</td>
<td valign="top" align="center">2 (4.3)</td>
<td valign="top" align="center">2 (20.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Dilated cardiomyopathy</td>
<td valign="top" align="center">2 (3.6)</td>
<td valign="top" align="center">2 (4.5)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Adipokines, median (interquartile range)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Leptin, ng/ml</td>
<td valign="top" align="center">4.6 (3.0, 6.2)</td>
<td valign="top" align="center">3.8 (2.1, 6.1)</td>
<td valign="top" align="center">6.0 (5.3, 6.6)</td>
<td valign="top" align="center">
<bold>0.020</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Leptin receptor, ng/ml</td>
<td valign="top" align="center">0.5 (0.1, 2.2)</td>
<td valign="top" align="center">0.4 (0.1, 1.9)</td>
<td valign="top" align="center">1.3 (0.1, 4.4)</td>
<td valign="top" align="center">0.314</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Free leptin, ng/ml</td>
<td valign="top" align="center">6.4 (1.1, 60.5)</td>
<td valign="top" align="center">6.6 (1.2, 59.8)</td>
<td valign="top" align="center">5.1 (0.7, 60.5)</td>
<td valign="top" align="center">0.789</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Adiponectin, &#xb5;g/ml</td>
<td valign="top" align="center">6.1 (5.3, 6.3)</td>
<td valign="top" align="center">6.0 (5.3, 6.2)</td>
<td valign="top" align="center">6.4 (6.3, 6.4)</td>
<td valign="top" align="center">
<bold>0.018</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Values are n (%) or median (interquartile range). <sup>2</sup>Statistics was conducted with &#x3c7;<sup>2</sup> or Mann-Whitney U test as appropriate. Bold values are statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Although there were more peritoneal dialysis patients in the normal LVEF group (82.6% vs 60%), the difference was not statistically significant. Both the time on renal replacement therapy, as well as Kt/V and frequency of hypertension were similar between the two groups (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<p>Regarding cardiology evaluation, at baseline the median LVEF was 70% (IQR 61% to 76%) in the 56 patients. As expected, LVEF was statistically lower in the altered LVEF group compared to the other group (62% vs 72%), p=0.001 As also shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, in the altered LVEF group the proportion of patients with hypertensive cardiomyopathy and valvular dysfunction was higher than the other group, which was not statistically significant.</p>
<p>Cytokine levels were different between the two groups. Compared with the normal LVEF group, leptin (p=0.02), leptin receptor (p=0.31), and adiponectin (p=0.018) levels were higher in the altered LVEF group, whereas free leptin levels were lower (p=0.78). Furthermore, cytokine levels were compared according to nutritional status; as shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, leptin (6.5 ng/ml <italic>vs</italic> 2.1 ng/ml, p=0.002) and free leptin (65.1 ng/ml <italic>vs</italic> 0.6 ng/ml, p=0.028) were higher in patients with obesity compared to those with malnutrition (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Baseline adipokines serum levels, stratified by nutritional status (n=56) <sup>1</sup>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"/>
<th valign="top" colspan="2" align="center">
<italic>Nutritional status</italic>
</th>
<th valign="middle" rowspan="2" align="center">Overweight<break/>n=10</th>
<th valign="middle" rowspan="2" align="center">Obesity<break/>n=6</th>
<th valign="middle" rowspan="2" align="center">p<sup>2</sup>
</th>
</tr>
<tr>
<th valign="top" align="center">Normal<break/>n=32</th>
<th valign="top" align="center">Malnutrition<break/>n=8</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="6" align="left">Adipokines, median (interquartile range)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Leptin, ng/ml</td>
<td valign="top" align="center">5.0 (3.5, 6.1)</td>
<td valign="top" align="center">2.1 (0.9, 3.3)</td>
<td valign="top" align="center">4.1 (1.8, 6.2)</td>
<td valign="top" align="center">6.5 (5.3, 6.5)</td>
<td valign="top" align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Leptin receptor, ng/ml</td>
<td valign="top" align="center">0.4 (0.1, 1.7)</td>
<td valign="top" align="center">2.3 (1.9, 3.4)</td>
<td valign="top" align="center">0.36 (0.1, 1.9)</td>
<td valign="top" align="center">0.1 (0.1, 47.9)</td>
<td valign="top" align="center">0.093</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Free leptin, ng/ml</td>
<td valign="top" align="center">9.5 (2.7, 59.8)</td>
<td valign="top" align="center">0.6 (0.4, 1.7)</td>
<td valign="top" align="center">5.9 (1.6, 60.5)</td>
<td valign="top" align="center">65.1 (0.1, 65.9)</td>
<td valign="top" align="center">
<bold>0.028</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Adiponectin, &#xb5;g/ml</td>
<td valign="top" align="center">6.1 (5.6, 6.3)</td>
<td valign="top" align="center">5.9 (4.1, 6.3)</td>
<td valign="top" align="center">5.8 (4.8, 6.1)</td>
<td valign="top" align="center">6.4 (6.0, 6.9)</td>
<td valign="top" align="center">0.073</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Values are median (interquartile range). <sup>2</sup>Statistics was conducted with Kruskal Wallis test. Bold values are statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>When analyzing the levels of adipokines with the baseline patients&#x2019; characteristics through logistic regression, leptin levels (OR 3.11; 95%IC 1.06, 9.11, p=0.038), leptin receptor levels (OR 1.06; 95%IC 1.001, 1.12, p=0.043) hypertensive cardiomyopathy (OR 18.37; 95% IC 1.28, 263.1, p=0.032) were associated with altered LVEF, contrary to adiponectin levels (OR 1.22; 95% IC 0.67, 2.22, p=0.503).</p>
<sec id="s3_1">
<title>End of follow-up</title>
<p>After 24-month follow-up, no change was observed in BMI z-score (median -0.06 <italic>vs</italic> median -0.18, p=0.99), in the 56 patients. But the proportion of patients with malnutrition (21.4%) and obesity (17.8%) increased (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). As cardiac function at the end of follow-up, LVEF median was 70.5% (IQR 65.1%, 77%), while the delta-LVEF was 3% (IQR -6.5%, 7%).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Change in nutritional status from baseline to 24 months of follow-up in chronic kidney disease pediatric patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-14-1120445-g001.tif"/>
</fig>
<p>
<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> presents the correlation analyses between baseline cytokine levels and delta-LVEF values. As shown, leptin (r=0.259, p=0.058) and free leptin levels (r=0.303, p=0.025) were positively correlated with delta-LVEF. This was not observed for serum adiponectin levels (r=0.165, p=0.232).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Correlation between delta-LVEF values and baseline serum levels of free leptin <bold>(A)</bold>, leptin <bold>(B)</bold>, adiponectin <bold>(C)</bold>, and leptin receptor <bold>(D)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-14-1120445-g002.tif"/>
</fig>
<p>Finally, according to the linear regression analyses, in the first model free leptin levels (coef. 0.12; 95%IC 0.08, 0.24, p=0.036) and baseline LVEF values (coef. -0.65; 95%IC -0.91, -0.38, p&lt;0.001) were associated with delta-LEVF, while in the second model leptin levels (coef. 1.72; 95%IC 0.01, 3.44, p=0.049) and baseline LVEF (coef. -0.63; 95%IC -0.90, -0.35, p&lt;0.001) were associated with delta-LEVF, <xref ref-type="table" rid="T3A">
<bold>Tables&#xa0;3A</bold></xref>, <xref ref-type="table" rid="T3B"><bold>B</bold></xref>, respectively.</p>
<table-wrap id="T3A" position="float">
<label>Table&#xa0;3A</label>
<caption>
<p>Linear regression analysis to identify the association of free leptin with delta-left ventricular ejection fraction at 24-month follow-up in CPK pediatric patients (n=56).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Coeficient</th>
<th valign="top" align="center">CI 95%</th>
<th valign="top" align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Free leptin, ng/ml</bold>
</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.001, 0.22</td>
<td valign="top" align="center">
<bold>0.049</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Adiponectin, &#xb5;g/ml</bold>
</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">-0.96, 3.25</td>
<td valign="top" align="center">0.220</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hypertensive cardiomyopathy</bold>
</td>
<td valign="top" align="center">-2.40</td>
<td valign="top" align="center">-6.7, 4.37</td>
<td valign="top" align="center">0.472</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Baseline left ventricular ejection fraction</bold>
</td>
<td valign="top" align="center">-0.65</td>
<td valign="top" align="center">-0.92, -0.38</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Overweight or obesity at baseline</bold>
</td>
<td valign="top" align="center">5.84</td>
<td valign="top" align="center">-0.56, 12.24</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Replacement treatment with hemodialysis</bold>
</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">-2.82, 4.71</td>
<td valign="top" align="center">0.616</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Time of renal replacement, months</bold>
</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">-0.06,0.29</td>
<td valign="top" align="center">0.214</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Modification of nutrition status</bold>
</td>
<td valign="top" align="center">-4.67</td>
<td valign="top" align="center">-11.4, 2.10</td>
<td valign="top" align="center">0.172</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IC, confidence interval; BMI, Body mass index. Bold values are statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3B" position="float">
<label>Table&#xa0;3B</label>
<caption>
<p>Linear regression analysis to identify the association of leptin and leptin receptor with delta-left ventricular ejection fraction at 24-month follow-up in in CPK pediatric patients (n=56).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Coeficient</th>
<th valign="top" align="center">CI 95%</th>
<th valign="top" align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Leptin, ng/ml</bold>
</td>
<td valign="top" align="center">1.72</td>
<td valign="top" align="center">0.01, 3.44</td>
<td valign="top" align="center">
<bold>0.049</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Leptin receptor, ng/ml</bold>
</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">-0.09, 0.29</td>
<td valign="top" align="center">0.302</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Adiponectin, &#xb5;g/ml</bold>
</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">-0.33, 4.14</td>
<td valign="top" align="center">0.094</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hypertensive cardiomyopathy</bold>
</td>
<td valign="top" align="center">-3.30</td>
<td valign="top" align="center">-10.4, 3.72</td>
<td valign="top" align="center">0.345</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Baseline left ventricular ejection fraction</bold>
</td>
<td valign="top" align="center">-0.63</td>
<td valign="top" align="center">-0.90, -0.35</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Overweight or obesity at baseline</bold>
</td>
<td valign="top" align="center">5.92</td>
<td valign="top" align="center">-0.47, 12.31</td>
<td valign="top" align="center">0.069</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Replacement treatment with hemodialysis</bold>
</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">-3.42, 4.05</td>
<td valign="top" align="center">0.868</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Time of renal replacement, months</bold>
</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">-0.05,0.28</td>
<td valign="top" align="center">0.167</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Modification of nutrition status</bold>
</td>
<td valign="top" align="center">-5.87</td>
<td valign="top" align="center">-12.8, 1.14</td>
<td valign="top" align="center">0.099</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IC, confidence interval; BMI, Body mass index. Bold values are statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>To our knowledge, this is the first study where leptin and adiponectin levels have been evaluated as potential prognostic markers of cardiac function in CKD pediatric on renal replacement therapy. Our results seem to indicate that both elevated serum leptin and free leptin levels are associated with a decrease in LVEF, at two years of follow-up. This information could be relevant, since the most common cause of mortality among CKD patients is cardiovascular disease.</p>
<p>Cardiovascular diseases in pediatric patients can be present in CKD early stages. In our study, it was identified in about a third of the 56 included patients, mainly due to hypertensive cardiomyopathy. According to Groothoff et&#xa0;al, they reported 61.5% of cardiac abnormalities in a cohort of 140 pediatric patients followed for 20 years, since 1972. This high frequency is probably related to the time of the study, since kidney transplantation was not performed in a timely manner as it is today, therefore the time in renal replacement therapy was longer (<xref ref-type="bibr" rid="B20">20</xref>). Moustafa et&#xa0;al. reported 88% of cardiac alterations due to left ventricular hypertrophy and left ventricular dilatation, but the frequency of hypertension was higher (72%) than in our study (60.7%) (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>In recent years, it has been described that overweight and obesity can cause cardiovascular disorders in CKD patients, which could aggravate the damage caused by renal failure (<xref ref-type="bibr" rid="B22">22</xref>). However, the effect that adipocytokines may have in CKD children is unknown, particularly on heart function.</p>
<p>Adipokines change according to nutritional status; for example, leptin is a good indicator of the amount of adipose tissue in the body (<xref ref-type="bibr" rid="B8">8</xref>). As we observed in this study, patients with overweight or obesity had the highest serum leptin and free leptin levels, while malnourished patients had the lowest concentrations (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). In patients only with obesity, elevated serum leptin concentrations lead to increase cardiovascular risk (<xref ref-type="bibr" rid="B9">9</xref>); however, in the context of chronic diseases patients, such as CKD, this situation is not clear. CKD patients could be at greater risk of malnutrition and inflammatory-related diseases due to the release of inflammatory cytokine by adipocytes, and the involvement of regulatory molecules, as myostatin, hepatocyte growth factor and soluble Toll-like receptor 4 (<xref ref-type="bibr" rid="B25">25</xref>). Sarcopenia as a chronic proinflammatory state increases the risk of damage to target organ, such as impaired cardiac function (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>We observed that the decrease in delta-LVEF was associated with free leptin levels. This finding is consistent with studies conducted in patients with anorexia, in whom the energy balance is negative because of insufficient caloric intake. In these patients, increased leptin receptor levels may represent a protective mechanism that decreases the bioavailability of free leptin that would further conserve energy (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Adult patients on hemodialysis and sarcopenia have a worse prognosis for cardiovascular events and mortality, which has been related to low fat content, as a consequence of the proinflammatory state that occurs in sarcopenia (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). As well, it has also been reported that high levels of angiotensin II are negatively associated with skeletal muscle strength (<xref ref-type="bibr" rid="B31">31</xref>). Angiotensin II acts on IGF-I/insulin signaling pathways, by decreasing Akt phosphorylation and activating muscle proteolysis by the ubiquitinproteasome system (<xref ref-type="bibr" rid="B32">32</xref>) and caspase-3 apoptotic pathways in muscle (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Thus, a mechanism by which angiotensin II induces muscle atrophy is by disrupting the IGF-I system.</p>
<p>Similar to our study, increased adiponectin levels have also been observed in adult patients with heart failure, diabetes mellitus, and CKD. The high levels of circulating adiponectin could be attributed to the counterregulatory upregulation of adiponectin production in response to stress caused by severe chronic diseases (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Adiponectin has multiple beneficial phenotypic expression effects that include anti-inflammatory, antiatherogenic or cardioprotective actions (<xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>). Therefore, it is likely that the high levels of circulating adiponectin in these patients can be partially explained by the compensatory upregulation of adiponectin production in response to severe chronic stress related to CKD. Furthermore, in patients with heart failure downregulation of adiponectin receptor is associated with decreased downstream signaling, such as inactivation of the PPAR-&#x3b1;/AMPK pathway, and downregulation of several target genes in skeletal muscles, resulting in functional resistance to adiponectin (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). However, more studies are needed to explain the mechanism of this compensatory adiponectin response in cardiovascular diseases.</p>
<p>On the other hand, myocardial remodeling secondary to hypertension is mainly due to hypertrophy of cardiomyocytes, interstitial fibrosis, and alterations in the wall of the intramyocardial arteries. This is an adaptive response to overload as an attempt to normalize systolic stress, which alters the left ventricle global function (<xref ref-type="bibr" rid="B41">41</xref>). Matteucci et&#xa0;al. reported a regression of left ventricular hypertrophy and improvement of left ventricular systolic function when blood pressure is controlled (<xref ref-type="bibr" rid="B42">42</xref>). Persistent uremia results in thickening of myocardial cells and concentric remodeling of the left ventricle together with activation of the intracardiac renin-angiotensin system, which induces hyperaldosteronemia. This promotes cardiac fibrosis <italic>via</italic> signals that induce production of profibrotic growth factors, which causes myocardial remodeling. Late renal transplantation causes a longer exposure to uremia, which increase in the probability of developing hypertensive cardiomyopathy, as we observed in our patients (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Finally, we must recognize the limitations of the study, mainly due to the small sample size, which may affect the interpretation of multivariate analyses. Therefore, more studies should be carried out to verify whether adipokines can be considered as prognostic markers for the deterioration of cardiac function in CKD pediatric patients. In these studies, it seems appropriate to include measurements of adipokines and body composition at the end of follow-up.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>Baseline leptin, free leptin levels and LVEF were associated with the decrease of LVEF at the 24-month follow-up in CKD pediatric patients.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>According to the Declaration of Helsinki, the protocol was evaluated and approved by the ethics and research committee of the hospital under registry number R-2018-3603-075 &amp; HIM-2017-117. A parent or legal guardian signed an informed consent form, and each child provided written assent according to the recommendations of the Declaration of Helsinki. Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of kin.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>Conceptualization Methodology &amp; Formal analysis: MV-K and JZ-C; Investigation: JZ-C, CZ-M, GA-T, JS-M, ME-L, BH-H, SA-F, and MZ-S; Writing, review &amp; editing: MV-K and JZ-C. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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