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<article article-type="research-article" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2023.1089304</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Correlations between serum laminin level and severity of heart failure in patients with chronic heart failure</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Xie</surname><given-names>Ling</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1878970/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Zhou</surname><given-names>Zhen</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Hai-Xiao</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1804103/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Yan</surname><given-names>Xiao-Yun</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Ye</surname><given-names>Jia-Qi</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2215284/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Jiang</surname><given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zhou</surname><given-names>Lei</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1883202/overview"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zhang</surname><given-names>Qing</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1878997/overview" /></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><addr-line>Department of Cardiology</addr-line>, <institution>Second Affiliated Hospital of Nantong University</institution>, <addr-line>Nantong</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><addr-line>Deparment of Science and Education</addr-line>, <institution>Nantong Third People&#x2019;s Hospital</institution>, <addr-line>Nantong</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><addr-line>Department of General Medicine</addr-line>, <institution>Second Affiliated Hospital of Nantong University</institution>, <addr-line>Nantong</addr-line>, <country>China</country></aff>
<aff id="aff4"><label><sup>4</sup></label><addr-line>Department of Cardiology</addr-line>, <institution>First Affiliated Hospital of Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Leonardo Roever, Federal University of Uberlandia, Brazil</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Hui Hui Zhao, Beijing University of Chinese Medicine, China Pawel Krzesinski, Military Institute of Medicine, Poland Elena Revuelta-L&#x00F3;pez, Germans Trias i Pujol Health Science Research Institute (IGTP), Spain</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Qing Zhang <email>zzhangqing32@sina.cn</email> Lei Zhou <email>zhoulei7005@163.com</email></corresp>
<fn id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="other" id="fn001"><p><bold>Specialty Section:</bold> This article was submitted to General Cardiovascular Medicine, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>16</day><month>03</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1089304</elocation-id>
<history>
<date date-type="received"><day>04</day><month>11</month><year>2022</year></date>
<date date-type="accepted"><day>24</day><month>02</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Xie, Zhou, Chen, Yan, Ye, Jiang, Zhou and Zhang.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Xie, Zhou, Chen, Yan, Ye, Jiang, Zhou and Zhang</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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>Objective</title>
<p>This study aimed to investigate the correlation between serum laminin (LN) levels and clinical stages of heart failure in patients with chronic heart failure.</p>
</sec><sec><title>Methods</title>
<p>A total of 277 patients with chronic heart failure were selected from September 2019 to June 2020 in the Department of Cardiology, Second Affiliated Hospital of Nantong University. Based on stages of heart failure, the patients were divided into four groups: stage A, stage B, stage C, and stage D, with 55, 54, 77, and 91 cases, respectively. At the same time, 70 healthy people in this period were selected as the control group. Baseline data were recorded and serum Laminin (LN) levels were measured. The research compared, the differences in baseline data among the four groups of HF and normal controls, and analyzed the correlation between N-terminal pro-brain natriuretic peptide (NT-proBNP) and left ventricular ejection fraction (LVEF). The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of LN in the C-D stage of heart failure. Logistic multivariate ordered analysis was applied to screen the independent related factors of clinical stages of heart failure.</p>
</sec><sec><title>Results</title>
<p>Serum LN levels in patients with chronic heart failure were significantly higher than those in healthy people, which were 33.2 (21.38, 101.9)&#x2005;ng/ml and 20.45 (15.53, 23.04)&#x2005;ng/ml, respectively. With the progression of clinical stages of HF, serum LN and NT-proBNP levels increased, while LVEF gradually decreased (<italic>P&#x2009;</italic>&#x003C;&#x2009;0.05). Correlation analysis showed that LN was positively correlated with NT-proBNP (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.744, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000) and negatively correlated with LVEF (<italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.568, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000). The area under the ROC curve of LN for predicting C and D stages of heart failure was 0.913, 95&#x0025; confidence interval was 0.882&#x2013;0.945, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000, specificity 94.97&#x0025;, and sensitivity 77.38&#x0025;. Multivariate Logistic analysis showed that LN, Total bilirubin, NT-proBNP and HA were all independent correlates of heart failure staging.</p>
</sec><sec><title>Conclusion</title>
<p>Serum LN levels in patients with chronic heart failure are significantly increased and are independently correlated with the clinical stages of heart failure. It could potentially be an early warning index of the progression and severity of heart failure.</p>
</sec>
</abstract>
<kwd-group>
<kwd>serum laminin</kwd>
<kwd>chronic heart failure</kwd>
<kwd>degree of severity</kwd>
<kwd>stages of heart failure</kwd>
<kwd>correlations</kwd>
</kwd-group><contract-num rid="cn001">MB2021010</contract-num><contract-num rid="cn002">JCZ2022007</contract-num><contract-num rid="cn003">KD2022KYCXTD007</contract-num><contract-sponsor id="cn001">Scientific Research Project of Nantong Municipal Health Commission</contract-sponsor><contract-sponsor id="cn002">Project of Nantong Science and Technology Bureau</contract-sponsor><contract-sponsor id="cn003">Kangda College of Nanjing Medical University</contract-sponsor><counts>
<fig-count count="6"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="27"/><page-count count="0"/><word-count count="0"/></counts>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1.</label><title>Introduction</title>
<p>Chronic heart failure (CHF) is one of the most common chronic diseases worldwide, and it has seen an increasing trend in its prevalence and morbidity (<xref ref-type="bibr" rid="B1">1</xref>). Ventricular remodeling is an important pathological basis of CHF, and inhibition of its process is beneficial to improve the prognosis of patients with heart failure (HF) (<xref ref-type="bibr" rid="B2">2</xref>). Myocardial fibrosis is one of the primary manifestations of ventricular remodeling. It has been found that myocardial fibrosis mainly features changes in the extracellular matrix (ECM) (<xref ref-type="bibr" rid="B3">3</xref>). Laminin (LN) is a vital component of ECM, which has significant biological functions, including adhesion, translocation, cell differentiation, cell growth, and inflammatory response (<xref ref-type="bibr" rid="B4">4</xref>). Many studies have shown that LN is closely related to the process of myocardial fibrosis (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). The 2022 AHA/ACC/HFSA guidelines (<xref ref-type="bibr" rid="B8">8</xref>) divide HF into four stages (stages A&#x2013;D) according to HF progression, which objectively reflects the clinical progress of CHF. Early risk factor control and active drug treatment can prevent and delay HF progression to the greatest extent. Therefore, the identification of markers related to HF progression is of particular significance. To date, on study has focused on the correlation between LN and the clinical stage of CHF. This study aimed to explore the correlation between serum LN and HF severity of heart failure in patients with CHF by analyzing serum LN levels in patients with different stages of CHF.</p>
</sec>
<sec id="s2"><label>2.</label><title>Manuscript formatting</title>
<sec id="s2a"><label>2.1.</label><title>Methods</title>
<sec id="s2a1"><label>2.1.1.</label><title>Study design and participants</title>
<p>We conducted an observational study from September 2019 to June 2020. 277 patients diagnosed as CHF in the Department of Cardiovascular Medicine of the Second Affiliated Hospital of Nantong University were selected. All patients met the diagnostic criteria of CHF, as shown in <xref ref-type="fig" rid="F1">Figure 1</xref> (<xref ref-type="bibr" rid="B8">8</xref>). Patients with rheumatic system diseases, liver fibrosis, malignant tumor and patients with incomplete clinical data were excluded. 70 healthy individuals who had no major physical illnesses and no chronic diseases such as cardiac/metabolic diseases at the time of physical examination at our medical examination center during the same period were selected as the control group. We collected relevant medical records of the patients, including past history and liver and kidney function indexes, and analyzed serum levels of LN, HA, and NT-proBNP, and detected LVEF values by echocardiography for the study, which was investigated in accordance with the principles in the Declaration of Helsinki. The study was approved by the Ethics Committee of the Second Affiliated Hospital of Nantong University (IRB: No. 2020KN094), and informed consent was obtained from all patients.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Overall technical roadmap.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1089304-g001.tif"/>
</fig>
</sec>
<sec id="s2a2"><label>2.1.2.</label><title>Data collection</title>
<p>Basic information of patients is recorded at admission, including gender, age, BMI, Medical history and family history, blood pressure and heart rate at admission, etc. cardiac troponin I (cTnI) were measured immediately after admission, and left ventricular ejection fraction (LVEF) was recorded by echocardiography. The levels of serum laminin (LN), hyaluronic acid (HA), N-terminal pro-brain natriuretic peptide (NT-proBNP) and alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (Tb), serum creatinine (Scr), urea nitrogen (UN), high-sensitivity C-reactive protein (CRP), Fasting glucose, Hemoglobin, Platelet, Triglycerides, Total cholesterol, high-density lipoprotein cholesterol (HDL-C), Low-density lipoprotein cholesterol (LDL-C) were detected on an empty stomach on the early morning of the second day of hospitalization.</p>
</sec>
<sec id="s2a3"><label>2.1.3.</label><title>The definition of clinical degree of chronic heart failure</title>
<p>Stage A: Pre-heart failure stage; Stage B: Pre-clinical heart failure stage; Stage C: Clinical heart failure stage; Stage D: Refractory end-stage heart failure stage (<xref ref-type="bibr" rid="B8">8</xref>). (Cardiac function staging is independently evaluated by two physicians. Once there is any inconsistency, it will be discussed and decided by another chief physician) Patients in the C/D stage of HF have an impact on their daily life and are often considered to be in a relatively severe stage.</p>
</sec>
<sec id="s2a4"><label>2.1.4.</label><title>Detection of data</title>
<p>On the second morning after admission, 4&#x2005;ml fasting blood was taken from all patients to measure serum laminin. Fasting blood was centrifuged for 10&#x2005;min at a rate of 2,500&#x2005;r/min, and then serum laminin levels were measured by chemiluminescence immunoassay (MAGLUMI 2000). The test kit is provided by Fosun Diagnostics Company (Changsha, China). The determination of serum level of HA was performed with the same method. The normal reference range for the serum laminin kit in this study is 0.51&#x2013;50&#x2005;ng/ml, and the normal reference range for hyaluronic acid is 0&#x2013;100&#x2005;ng/ml. NT-pro BNP was measured using a chemiluminescence technique (on Cobas E. from Roche).</p>
</sec>
<sec id="s2a5"><label>2.1.5.</label><title>Detection of LVEF</title>
<p>All subjects were examined with a Philips EPIQ 7C cardiovascular ultrasound S5&#x2013;1 adult probe/frequency 1&#x2013;5&#x2005;MHz, performed and calibrated by an experienced sonographer. During the examination, patients were instructed to lie on the left side, breathe calmly, connect to the ECG, and acquire the left ventricular apical four-chamber and two-chamber views, respectively, and scan the left ventricular long-axis view and series of short-axis views, and calculate the left ventricular ejection fraction using the Simpson biplane method, which is a two-dimensional mode in which systolic and diastolic volumes are assessed in two different planes in the apical four-chamber and apical two-chamber hearts. The endocardial margin of the left ventricle, including the papillary muscle, was traced using the trackball tracing in both systole and diastole. LV ejection fraction&#x2009;&#x003D;&#x2009;(LV end-diastolic volume&#x2009;&#x2212;&#x2009;LV end-systolic volume)/LV end-diastolic volume&#x2009;&#x00D7;&#x2009;100&#x0025;.</p>
</sec>
<sec id="s2a6"><label>2.1.6.</label><title>Statistical analysis</title>
<p>Continuous variables of normal distribution are expressed as mean values&#x2009;&#x00B1;&#x2009;standard deviation, while variables conforming to skewed distribution are expressed as median (25th percentile&#x2013;75th percentile). Statistics are expressed as percentages or frequencies. Independent sample t-test was used for the measurement data of normal distribution, <italic>&#x03C7;</italic><sup>2</sup> test was used for the counting data, and the MannWhitney U test was used for non-normally distributed measures between two groups, and the Kruskal Wallis rank sum test was used for non-normally distributed measures between multiple groups. The correlation between LN and NT-proBNP and LVEF was studied by Spearman&#x0027;s Rank Coefficient of Correlation, the predictive value of LN in C-D stage of HF was evaluated by ROC curve, and the independent factors influencing the severity of HF were studied by Logistic multivariate ordered analysis. The data were analyzed by SPSS 26.0 (SPSS Inc., Chicago, IL), <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05 was considered statistically significant.</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3.</label><title>Results</title>
<sec id="s3a"><label>3.1.</label><title>Comparison of baseline data between heart failure group and normal group</title>
<p>LN level in CHF group was significantly higher than that in healthy group, which were 33.2 (21.38, 101.9)&#x2005;ng/ml and 20.45 (15.53, 23.04)&#x2005;ng/ml respectively (<italic>P&#x2009;</italic>&#x003C;&#x2009;0.01, <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). The data of NT-proBNP, HA, cTnI, Scr, Tb, AST, ALT, high-sensitivity CRP, fasting glucose, Systolic and male proportion of CHF group were significantly higher than those in healthy group, and LVEF value, Hemoglobin, HDL-C was lower than that in healthy group (<italic>P&#x2009;</italic>&#x003C;&#x2009;0.05). There was no significant difference in UN, age and sex (<italic>P</italic>&#x2009;&#x003E;&#x2009;0.05), as shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Serum laminin levels in healthy group and chronic heart failure group.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1089304-g002.tif"/>
</fig>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Comparison of general clinical information between the Two groups.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Healthy group<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;70)</th>
<th valign="top" align="center">CHF group<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;277)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">40, 57.1</td>
<td valign="top" align="center">189, 68.2</td>
<td valign="top" align="center">.080</td>
</tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">63 (55.75, 72.25)</td>
<td valign="top" align="center">68 (57, 75)</td>
<td valign="top" align="center">.095</td>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup></td>
<td valign="top" align="center">24.79 (22.01, 27.32)</td>
<td valign="top" align="center">24.77 (23.4, 26.98)</td>
<td valign="top" align="center">.448</td>
</tr>
<tr>
<td valign="top" align="left">Systolic pressure (mmHg)</td>
<td valign="top" align="center">137 (124.5, 158)</td>
<td valign="top" align="center">127 (113, 139.75)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Diastolic pressure (mmHg)</td>
<td valign="top" align="center">79 (70.5, 86)</td>
<td valign="top" align="center">76.5 (68, 86)</td>
<td valign="top" align="center">.411</td>
</tr>
<tr>
<td valign="top" align="left">Heart rate (bpm)</td>
<td valign="top" align="center">80 (70, 90)</td>
<td valign="top" align="center">80 (70, 90)</td>
<td valign="top" align="center">.838</td>
</tr>
<tr>
<td valign="top" align="left">Smokers (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">13, 18.6</td>
<td valign="top" align="center">57, 20.6</td>
<td valign="top" align="center">.709</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol intake (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">16, 22.9</td>
<td valign="top" align="center">43, 15.5</td>
<td valign="top" align="center">.144</td>
</tr>
<tr>
<td valign="top" align="left">Exercise (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">26, 37.1</td>
<td valign="top" align="center">99, 36.7</td>
<td valign="top" align="center">.827</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Laboratory data</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hemoglobin (g/L)</td>
<td valign="top" align="center">140 (132, 149)</td>
<td valign="top" align="center">134 (121, 149)</td>
<td valign="top" align="center">.045&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Platelet (&#x00D7;10<sup>9</sup>/L)</td>
<td valign="top" align="center">203 (163, 227)</td>
<td valign="top" align="center">185 (154, 228.5)</td>
<td valign="top" align="center">.403</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Total bilirubin (&#x00B5;mol/L)</td>
<td valign="top" align="center">12.75 (9.48, 16.43)</td>
<td valign="top" align="center">14.45 (10.48, 20.53)</td>
<td valign="top" align="center">.027</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Serum creatinine (&#x00B5;mol/L)</td>
<td valign="top" align="center">59.25 (50.95, 71.8)</td>
<td valign="top" align="center">71 (57.78, 89.03)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Urea nitrogen (mmol/L)</td>
<td valign="top" align="center">5.76 (4.76, 6.85)</td>
<td valign="top" align="center">5.74 (4.63, 7.73)</td>
<td valign="top" align="center">.648</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ALT (U/L)</td>
<td valign="top" align="center">17 (11, 28.25)</td>
<td valign="top" align="center">25 (16.75, 39)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;AST (U/L)</td>
<td valign="top" align="center">18.5 (16, 23)</td>
<td valign="top" align="center">26 (19, 55.75)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FBG (mmol/L)</td>
<td valign="top" align="center">5.14 (4.74, 5.83)</td>
<td valign="top" align="center">5.56 (4.89, 6.43)</td>
<td valign="top" align="center">.019&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High-sensitivity CRP (mg/L)</td>
<td valign="top" align="center">0.63 (0.1, 2.48)</td>
<td valign="top" align="center">3.09 (0.55, 8.78)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Triglycerides (mmol/L)</td>
<td valign="top" align="center">1.33 (0.96, 1.87)</td>
<td valign="top" align="center">1.18 (0.79, 1.67)</td>
<td valign="top" align="center">.060</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Total cholesterol (mmol/L)</td>
<td valign="top" align="center">3.97 (3.50, 4.62)</td>
<td valign="top" align="center">3.98 (3.36, 4.54)</td>
<td valign="top" align="center">.243</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HDL-C (mmol/L)</td>
<td valign="top" align="center">1.24 (1.08, 1.56)</td>
<td valign="top" align="center">1.08 (0.89, 1.34)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LDL-C (mmol/L)</td>
<td valign="top" align="center">2.47 (1.97, 2.98)</td>
<td valign="top" align="center">2.44 (1.87, 3.01)</td>
<td valign="top" align="center">.394</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;cTnI (&#x00B5;g/L)</td>
<td valign="top" align="center">0.01 (0.01, 0.01)</td>
<td valign="top" align="center">0.03 (0.01, 1.38)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NT- proBNP (pg/ml)</td>
<td valign="top" align="center">42.55 (20.33, 110.73)</td>
<td valign="top" align="center">1,383.7 (91.3, 4,626)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LN (ng/ml)</td>
<td valign="top" align="center">20.45 (15.53, 23.04)</td>
<td valign="top" align="center">33.2 (21.38, 101.9)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HA (ng/ml)</td>
<td valign="top" align="center">55.47 (50.69, 65.15)</td>
<td valign="top" align="center">76.23 (60.79, 103.45)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LVEF (&#x0025;)</td>
<td valign="top" align="center">66 (63.75, 69)</td>
<td valign="top" align="center">60 (45, 66)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Comorbidities</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hypertension (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">143, 51.6</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Diabetes (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">66, 23.8</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Anemias (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">65, 23.5</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Stroke (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">22, 7.9</td>
<td valign="top" align="center">.015&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Asthma (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">7, 2.5</td>
<td valign="top" align="center">.179</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;COPD (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">16, 5.8</td>
<td valign="top" align="center">.040&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Carotid artery disease (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">88, 25.4</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Atrial fibrillation (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">80, 28.9</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Valve disorder (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">67, 24.2</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Heart failure (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">277, 100</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Metabolic syndrome (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">10, 3.6</td>
<td valign="top" align="center">.107</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hypothyroidism (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">26, 9.4</td>
<td valign="top" align="center">.008&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Gout (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">49, 17.7</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Liver steatosis (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">14, 5.1</td>
<td valign="top" align="center">.055</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Chronic kidney disease (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">42, 15.2</td>
<td valign="top" align="center">.001&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Dialysis (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">5, 1.4</td>
<td valign="top" align="center">.258</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GIB history (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">11, 4</td>
<td valign="top" align="center">.090</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Drug abuse (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">8, 2.9</td>
<td valign="top" align="center">.150</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mental disorders (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">9, 3.2</td>
<td valign="top" align="center">.127</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Depression (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">0, 0</td>
<td valign="top" align="center">6, 1.7</td>
<td valign="top" align="center">.214</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Family medical history</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Family history of stroke (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">7, 10</td>
<td valign="top" align="center">22, 7.9</td>
<td valign="top" align="center">.578</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Family history of CAD (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">5, 7.1</td>
<td valign="top" align="center">56, 20.2</td>
<td valign="top" align="center">.450</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Family history of PAD (<italic>n</italic>, &#x0025;)</td>
<td valign="top" align="center">3, 4.3</td>
<td valign="top" align="center">33, 11.9</td>
<td valign="top" align="center">.553</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>Values are reported as the number (&#x0025;) or median (25th and 75th percentiles). ALT, alanine aminotransferase; AST, aspartate aminotransferase; FBG, fasting glucose; CRP, C-reactive protein; HDL-C, high-density lipoprotein cholesterol and LDL-C Low-density lipoprotein cholesterol; cTnI, cardiac troponin I; NT-proBNP, N-terminal pro-brain natriuretic peptide; LN, Laminin; HA, hyaluronic acid; LVEF, left ventricular ejection fraction; GIB, Gastrointestinal bleeding; CAD, Carotid artery disease; PAD, Peripheral arterial disease.</p></fn>
<fn id="table-fn2"><p>Values with <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05 in the table are marked with an asterisk.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><label>3.2.</label><title>Baseline data comparison of four groups of patients with heart failure in different clinical stages</title>
<p>LN gradually increased with the progress of HF stages (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.01, <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>), age, ALT, AST, Tb, Scr, UN, TnI, NT-proBNP, HA also gradually increased with the increase of clinical stages, LVEF value tended to decrease with the progress of heart failure stages (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.01), and there was no statistical difference in the history of type 2 diabetes, hypertension and gender (<italic>P</italic>&#x2009;&#x003E;&#x2009;0.01), as shown in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>.</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Serum laminin levels in patients with different stages of heart failure.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1089304-g003.tif"/>
</fig>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Characteristics of patients with different stages of heart failure.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Total<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;277)</th>
<th valign="top" align="center">Stage A<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;55)</th>
<th valign="top" align="center">Stage B<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;54)</th>
<th valign="top" align="center">Stage C<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;77)</th>
<th valign="top" align="center">Stage D<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;91)</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">189, 68.2</td>
<td valign="top" align="center">31, 56.4</td>
<td valign="top" align="center">36, 66.7</td>
<td valign="top" align="center">62, 80.5</td>
<td valign="top" align="center">60, 65.9</td>
<td valign="top" align="center">.027&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">68 (57, 75)</td>
<td valign="top" align="center">62 (54, 70)</td>
<td valign="top" align="center">66.5 (57, 72.25)</td>
<td valign="top" align="center">67 (54.5, 76)</td>
<td valign="top" align="center">71 (65, 76)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">143, 51.6</td>
<td valign="top" align="center">26, 47.3</td>
<td valign="top" align="center">35, 64.8</td>
<td valign="top" align="center">40, 51.9</td>
<td valign="top" align="center">42, 46.2</td>
<td valign="top" align="center">.153</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">66, 23.8</td>
<td valign="top" align="center">8, 14.5</td>
<td valign="top" align="center">16, 29.6</td>
<td valign="top" align="center">22, 28.6</td>
<td valign="top" align="center">20, 22</td>
<td valign="top" align="center">.192</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">25 (16.75, 39)</td>
<td valign="top" align="center">23 (15, 30)</td>
<td valign="top" align="center">22 (16, 31.5)</td>
<td valign="top" align="center">34 (21, 53)</td>
<td valign="top" align="center">24 (13, 39.75)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">26 (19, 55.75)</td>
<td valign="top" align="center">19 (16, 23)</td>
<td valign="top" align="center">20 (16.75, 27)</td>
<td valign="top" align="center">81 (34.5, 177.5)</td>
<td valign="top" align="center">30 (21, 43.25)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Total bilirubin (&#x00B5;mol/L)</td>
<td valign="top" align="center">14.45 (10.48, 20.53)</td>
<td valign="top" align="center">11.6 (9.7, 15.9)</td>
<td valign="top" align="center">11.7 (8.02, 15.13)</td>
<td valign="top" align="center">16 (10.95, 20.65)</td>
<td valign="top" align="center">19.55 (13.4, 29.8)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Scr (&#x00B5;mol/L)</td>
<td valign="top" align="center">71 (57.78, 89.03)</td>
<td valign="top" align="center">58.5 (53, 74)</td>
<td valign="top" align="center">65.05 (57.7, 75.15)</td>
<td valign="top" align="center">70 (55.8, 83.9)</td>
<td valign="top" align="center">91.65 (74.25, 120.05)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Urea nitrogen (mmol/L)</td>
<td valign="top" align="center">5.74 (4.63, 7.73)</td>
<td valign="top" align="center">5.5 (4.48, 6.22)</td>
<td valign="top" align="center">5.33 (4.19, 6.39)</td>
<td valign="top" align="center">5.08 (4.1, 7.05)</td>
<td valign="top" align="center">7.89 (6.1, 10.6)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">cTnI (&#x00B5;g/L)</td>
<td valign="top" align="center">0.03 (0.01, 1.38)</td>
<td valign="top" align="center">0.01 (0.01, 0.01)</td>
<td valign="top" align="center">0.01 (0.01, 0.01)</td>
<td valign="top" align="center">9.96 (1.63, 42.75)</td>
<td valign="top" align="center">0.03 (0.02, 0.98)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP (pg/ml)</td>
<td valign="top" align="center">1,383.7 (91.3, 4,626)</td>
<td valign="top" align="center">85.9 (35.2, 126.6)</td>
<td valign="top" align="center">63.45 (19.15, 114.53)</td>
<td valign="top" align="center">1,990 (1,230.4, 3,960.5)</td>
<td valign="top" align="center">6,272 (3,955, 15,388)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">LN (ng/ml)</td>
<td valign="top" align="center">33.2 (21.38, 101.9)</td>
<td valign="top" align="center">19.15 (15.51, 25.87)</td>
<td valign="top" align="center">22.55 (17.76, 27.1)</td>
<td valign="top" align="center">35.16 (24.37, 75.18)</td>
<td valign="top" align="center">117.9 (80.78, 172.7)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">HA (ng/ml)</td>
<td valign="top" align="center">76.23 (60.79, 103.45)</td>
<td valign="top" align="center">58.67 (45.48, 70.05)</td>
<td valign="top" align="center">69.47 (60.7, 84.67)</td>
<td valign="top" align="center">75.88 (60.39, 100.81)</td>
<td valign="top" align="center">104 (81.3, 151)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">LVEF (&#x0025;)</td>
<td valign="top" align="center">60 (45, 66)</td>
<td valign="top" align="center">67 (64, 70)</td>
<td valign="top" align="center">65(60.75, 68)</td>
<td valign="top" align="center">56(49, 65)</td>
<td valign="top" align="center">38(30.25, 54.5)</td>
<td valign="top" align="center">.000&#x002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn3"><p>Values are reported as the number (&#x0025;) or median (25th and 75th percentiles). ALT indicates alanine aminotransferase; AST, aspartate aminotransferase; Scr, Serum creatinine; cTnI, cardiac troponin I; NT-proBNP, N-terminal pro-brain natriuretic peptide; LN, Laminin; HA, hyaluronic acid and LVEF, left ventricular ejection fraction.</p></fn>
<fn id="table-fn4"><p>Values with <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05 in the table are marked with an asterisk.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3c"><label>3.3.</label><title>The correlation analysis</title>
<p>The correlation analysis between LN and NT-proBNP and LVEF showed that LN was positively correlated with NT-proBNP (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.744, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000, <xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>) while negatively correlated with LVEF (<italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.568, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000, <xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>).</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Correlation between LN and NT-proBNP.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1089304-g004.tif"/>
</fig>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Correlation between LN and LVEF.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1089304-g005.tif"/>
</fig>
</sec>
<sec id="s3d"><label>3.4.</label><title>ROC curve analysis</title>
<p>A total of 168 patients were enrolled in C-D stage of HF. The area of HF during C-D stage under ROC curve was predicted according to LN, which was 0.913, 95&#x0025; confidence interval was 0.882&#x2013;0.945, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000, cut-off value was 33.72&#x2005;ng/ml, specificity 94.97&#x0025; and sensitivity 77.38&#x0025;. as shown in <xref ref-type="fig" rid="F6">Figure 6</xref> and <xref ref-type="table" rid="T4">Table 4</xref></p>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>Receiver operating characteristic curves for laminin in the prediction of stages of C and D in CHF patients.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1089304-g006.tif"/>
</fig>
</sec>
<sec id="s3e"><label>3.5.</label><title>Predicting clinical outcome</title>
<p>Multivariate ordered Logistic analysis to different clinical stages of heart failure showed that LN (OR: 1.021, 95&#x0025; CI: 1.011&#x2013;1.030, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000), HA (OR: 1.011, 95&#x0025; CI: 1.003&#x2013;1.019, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.005), NT-proBNP (OR: 1.000, 95&#x0025; CI: 1.000&#x2013;1.000, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.017), LVEF (OR: 0.893, 95&#x0025; CI: 0.865&#x2013;0.923, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000), age (OR: 1.033, 95&#x0025; CI: 1.006&#x2013;1.061, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.016), AST (OR: 1.006, 95&#x0025; CI: 1.000&#x2013;1.012, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.048), and Tb (OR: 1.061, 95&#x0025; CI: 1.027&#x2013;1.097, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000) are all independent risk factors of severity of heart failure (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05), as shown in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>.</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Multivariate ordered logistic analysis to different clinical stages of heart failure.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Unadjusted OR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
<th valign="top" align="center">Adjusted OR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">1.042 (1.022, 1.062)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">1.033 (1.006, 1.061)</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">1.012 (1.002, 1.021)</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">1.003 (1.001, 1.006)</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">1.006 (1.000, 1.012)</td>
<td valign="top" align="center">0.048</td>
</tr>
<tr>
<td valign="top" align="left">Total bilirubin (&#x00B5;mol/L)</td>
<td valign="top" align="center">1.084 (1.055, 1.114)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">1.061 (1.027, 1.097)</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Serum creatinine (&#x00B5;mol/L)</td>
<td valign="top" align="center">1.023 (1.015, 1.032)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Urea nitrogen (mmol/L)</td>
<td valign="top" align="center">1.274 (1.168, 1.389)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">cTnI (&#x00B5;g/L)</td>
<td valign="top" align="center">1.007 (0.996, 1.018)</td>
<td valign="top" align="center">0.223</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP (pg/ml)</td>
<td valign="top" align="center">1.000 (1.000, 1.001)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">1.000 (1.000, 1.000)</td>
<td valign="top" align="center">0.017</td>
</tr>
<tr>
<td valign="top" align="left">LN (ng/ml)</td>
<td valign="top" align="center">1.038 (1.030, 1.046)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">1.021 (1.011, 1.030)</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">HA (ng/ml)</td>
<td valign="top" align="center">1.0219 (1.015, 1.029)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">1.011 (1.003, 1.019)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">LVEF (&#x0025;)</td>
<td valign="top" align="center">0.867 (0.845, 0.889)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.893 (0.865, 0.923)</td>
<td valign="top" align="center">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn5"><p>ALT indicates alanine aminotransferase; AST, aspartate aminotransferase; cTnI, cardiac troponin I; NT-proBNP, N-terminal pro-brain natriuretic peptide; LN, Laminin; HA, hyaluronic acid and LVEF, left ventricular ejection fraction.</p></fn>
<fn id="table-fn6"><p>Values with <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05 in the table are shown in red.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Receiver operating characteristic curves for laminin in the prediction of stages of C and D in CHF patients.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<tbody>
<tr>
<td valign="top" align="left" rowspan="6">ROC curve statistics</td>
<td valign="top" align="center"><bold>Sen</bold></td>
<td valign="top" align="center"><bold>Spe</bold></td>
<td valign="top" align="center"><bold>AUC</bold></td>
</tr>
<tr>
<td valign="top" align="center">77.38&#x0025;</td>
<td valign="top" align="center">94.97&#x0025;</td>
<td valign="top" align="center">0.913</td>
</tr>
<tr>
<td valign="top" align="center"><bold>&#x002B;PV</bold></td>
<td valign="top" align="center"><bold>&#x2212;PV</bold></td>
<td valign="top" align="center"><bold>DOR</bold></td>
</tr>
<tr>
<td valign="top" align="center">93.5</td>
<td valign="top" align="center">81.7</td>
<td valign="top" align="center">64.125</td>
</tr>
<tr>
<td valign="top" align="center"><bold>&#x002B;LR</bold></td>
<td valign="top" align="center"><bold>&#x2212;LR</bold></td>
<td valign="top" align="center"><bold>Youden index</bold></td>
</tr>
<tr>
<td valign="top" align="center">15.39</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.724</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn7"><p>Sen, sensitivity; Spe, specificity; &#x002B;PV, positive predictive values; &#x2212;PV, negative predictive values; &#x002B;LR, positive likelihood ratios; &#x2212;LR, negative likelihood ratios; AUC, area under the ROC curve; DOR, diagnostic odds ratio.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4.</label><title>Discussion</title>
<p>HF (<xref ref-type="bibr" rid="B9">9</xref>) is a clinical syndrome with symptoms and signs caused by heart structure and/or function anomaly. It will ultimately lead to all chronic cardiovascular diseases and is one of the most harmful diseases to human health. During CHF progression, the whole myocardium undergoes extensive irreversible remodeling, and ventricular remodeling mainly includes myocardial cell injury and myocardial fibrosis (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). In the past, researchers mainly focused on the study in the field of myocardial cell injury. At present, endomyocardial biopsy is used to diagnose myocardial fibrosis clinically, but it is difficult to carry out routinely due to the difficulties in obtaining materials and patients&#x0027; acceptance (<xref ref-type="bibr" rid="B12">12</xref>). Therefore, biomarkers of myocardial fibrosis are widely accepted as alternative reference indicators clinically.</p>
<p>Myocardial fibrosis features by changes in ECM. Previous studies on ECM and myocardial fibrosis mainly focused on collagen types I and collagen type III, which were used as non-invasive monitoring methods for tissue and organ fibrosis (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Serum LN is an important part of ECM, which was first discovered in mouse tumor basement membrane by Timple and other researchers in 1979 (<xref ref-type="bibr" rid="B14">14</xref>), serum LN is one of the largest non-collagenous glycoproteins in the basement membrane and plays a key role in fibrosis formation. Studies have shown that various defective regenerative processes/unresolved inflammation and/or chronic injury endpoints include varying degrees of fibrosis (<xref ref-type="bibr" rid="B15">15</xref>). serum LN has been used to evaluate liver and pulmonary fibrosis in the past (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Serum LN chain was confirmed to exist in the basement membrane area of the human embryo and fetal heart system by Roediger et al. (<xref ref-type="bibr" rid="B18">18</xref>) in 2010, and was proven to play a role in the development of the human circulatory system. Samura et al. found that serum LN is the most likely expressed cardiac LN, which can promote the differentiation of pluripotent human embryonic stem cells into myocardial cell lineage and promote cardiovascular progenitor cells to generate infarct human cardiac muscle <italic>in vivo</italic> (<xref ref-type="bibr" rid="B19">19</xref>). In 2016, Evelyn et al. (<xref ref-type="bibr" rid="B20">20</xref>) also discovered that serum LN participated in the periodic remodeling of cardiac basement membrane in rats with ischemic HF. HF could elevate the pressure in the central and peripheral veins, leading to congestion of passive organs in the abdominal cavity (<xref ref-type="bibr" rid="B21">21</xref>). The increase in sympathetic nerve activity further promoted the fibrosis process of the heart, kidney, and liver (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). Throughout these studies, it is evident that LN plays an important role in the fibrotic process in several organs, but no clinical studies have yet addressed the relevance of LN to the clinical staging of patients with CHF.</p>
<p>In recent decades, the prognosis of patients with HF has been greatly improved after standardized treatment. However, owing to the irreversibility of ventricular remodeling, the overall life quality still decreased significantly (<xref ref-type="bibr" rid="B25">25</xref>). The prognosis of patients with stages A-B of HF can be greatly improved with early intervention. Thus, this study aimed to explore the clinical significance of the changes in serum LN concentration in the during the development of different stages of CHF.</p>
<p>This study found that the serum LN level in patients with CHF was significantly higher than that in healthy people, and with the progress of clinical stages of HF, the serum LN level showed an increasing trend (<italic>P</italic>&#x2009;&#x2264;&#x2009;0.001). LN was positively correlated with NT-proBNP (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.744, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000) and negatively correlated with LVEF (<italic>r</italic>&#x2009;&#x003D;&#x2009;&#x2212;0.568, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000). The area under the ROC curve of LN for predicting C and D stages of HF was 0.913, 95&#x0025; confidence interval was 0.882&#x2013;0.945, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.000, cut-off value was 33.72&#x2005;ng/ml, specificity was 94.97&#x0025;, and sensitivity was 77.38&#x0025;. Multivariate logistic analysis proved that LN was an independent related factor in the stage of HF. Therefore, it is reasonable to speculate that serum LN is closely related to the process of myocardial fibrosis in CHF, and the concentration of serum LN could gradually increase with HF progression and continuous ventricular remodeling. Hawkes et al. (<xref ref-type="bibr" rid="B26">26</xref>) discovered that LN is abundant in the healthy heart, but fibronectin is increasingly expressed in the fibrotic heart. The traditional NT-proBNP is the most widely applied biomarker in the diagnosis and treatment of HF, which is of great significance in the process of diagnosis, treatment and prognosis evaluation of HF (<xref ref-type="bibr" rid="B8">8</xref>). However, NT-proBNP has been found to be higher or lower than the expected value of the disease state in clinics in recent years. It is susceptible to renal insufficiency, age, sex, atrial fibrillation and other factors, and could even show an abnormal &#x201C;normalization&#x201D; trend at the end stage of HF (<xref ref-type="bibr" rid="B27">27</xref>). Thus, the combination with LN, a fibrosis index, could more accurately evaluate the severity and clinical stage of HF when NT-proBNP is defective.</p>
<sec id="s4a"><label>4.1.</label><title>Limitations</title>
<p>This study has some limitations. This study lacks data on the severity of fibrosis, and as a retrospective study, it lacks dynamic observation of LN levels at multiple time points, which is worthy of further large-scale clinical and basic research to verify its conclusions.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><label>5.</label><title>Conclusion</title>
<p>In summary, the serum LN level in patients with CHF is obviously increased, which is independently related to the clinical stage of HF, and could potentially become an early warning index of the severity of the HF process.</p>
</sec>
</body>
<back>
<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/<xref ref-type="sec" rid="s11"><bold>Supplementary Materials</bold></xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7"><title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by The Ethics Committee of the Second Affiliated Hospital of Nantong University (IRB: No.2020KN094). The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8"><title>Author contributions</title>
<p>LX: writing manuscript. ZZ: processing data. H-XC and X-YY: critical review manuscript. J-QY and YJ: collecting data. LZ and QZ: writing and critical review manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>This work was supported by the Scientific Research Project of Nantong Municipal Health Commission (MB2021010), Project of Nantong Science and Technology Bureau (JCZ2022007), and Kangda College of Nanjing Medical University (KD2022KYCXTD007).</p>
</sec>
<ack><title>Acknowledgments</title>
<p>The authors acknowledge the support of the Cardiology and Department of General Medicine of the Second Affiliated Hospital of Nantong University. We would also like to thank all patients and volunteers who participated in this study.</p>
</ack>
<sec id="s10" 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="s12" sec-type="disclaimer"><title>Publisher&#x0027;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>
</sec>
<sec id="s11" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2023.1089304/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2023.1089304/full&#x0023;supplementary-material</ext-link>.</p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/>
</supplementary-material>
</sec>
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