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<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.2022.852009</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>High Betaine and Dynamic Increase of Betaine Levels Are Both Associated With Poor Prognosis of Patients With Pulmonary Hypertension</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Yicheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Jing</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1396449/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Jingjing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xue</surname> <given-names>Jing</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gao</surname> <given-names>Jianing</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Bo</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Beilan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Zhihong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1126037/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhao</surname> <given-names>Zhihui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Luo</surname> <given-names>Qin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1395492/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zeng</surname> <given-names>Qixian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zheng</surname> <given-names>Lemin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/356795/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xiong</surname> <given-names>Changming</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1086771/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Center of Pulmonary Vascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>China National Clinical Research Center for Neurological Diseases, Tiantan Hospital, Advanced Innovation Center for Human Brain Protection, The Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Health Science Center, Peking University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Gianfranco Pintus, University of Sharjah, United Arab Emirates</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Michael Lever, Honorary, New Zealand; Yuan Wei, Peking University Third Hospital, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Qixian Zeng, <email>saltyegg007@163.com</email></corresp>
<corresp id="c002">Lemin Zheng, <email>zhengl@bjmu.edu.cn</email></corresp>
<corresp id="c003">Changming Xiong, <email>xiongcmfw@163.com</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Hypertension, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>852009</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Yang, Xu, Zhou, Xue, Gao, Li, Sun, Yang, Liu, Zhao, Luo, Zeng, Zheng and Xiong.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Yang, Xu, Zhou, Xue, Gao, Li, Sun, Yang, Liu, Zhao, Luo, Zeng, Zheng and Xiong</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 and Objective</title>
<p>The association between plasma betaine levels and cardiovascular diseases (CVDs) has been revealed except for pulmonary hypertension (PH). In this study, we aimed to explore the role of betaine in patients with PH.</p>
</sec>
<sec>
<title>Methods</title>
<p>Inpatients with PH at Fuwai Hospital were enrolled after excluding relative comorbidities. Each patient received at least one follow-up through a clinical visit, and the fasting blood was obtained both at the first and second hospitalization for betaine detection. The primary endpoint was defined as composite outcome events and the mean duration was 14.3 (6.9, 21.3) months. The associations of betaine and changes of betaine (&#x0394;betaine) with disease severity and prognosis were explored.</p>
</sec>
<sec>
<title>Results</title>
<p>Finally, a total of 216 patients with PH were included and the medians for betaine plasma levels in the total patients group, low betaine, and high betaine groups were 49.8 (39.0, 68.3) &#x03BC;M, 39.0 (33.5, 44.7) &#x03BC;M, and 68.1 (57.8, 88.7) &#x03BC;M, respectively. High betaine was associated with poor World Health Organization Functional Class (WHO-FC), increased N-terminal pro-brain natriuretic peptide (NT-proBNP), low tricuspid annular plane systolic excursion (TAPSE), and cardiac output index even after adjusting for confounders. Patients with high betaine were over twice the risk to receive the poor prognosis than those with a low level [hazard ratio (HR) = 2.080, (95% CI: 1.033&#x2013;4.188)]. Moreover, the decrease of betaine level after further treatment was positively correlated to &#x0394;NT-proBNP indicating &#x0394;betaine might be an effector of disease severity, and dynamic increase of betaine was also associated with poor prognosis in PH.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Betaine was associated with disease severity and might be an effector in PH. Patients with increased levels or with dynamic rise of betaine heralded a poor prognosis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>metabolites</kwd>
<kwd>betaine</kwd>
<kwd>pulmonary hypertension</kwd>
<kwd>severity</kwd>
<kwd>prognosis</kwd>
<kwd>&#x0394;betaine</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="9"/>
<word-count count="5236"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Pulmonary hypertension (PH), classified into five categories according to different etiology, is a kind of progressive cardiovascular disease (CVD) that results in heart failure and death eventually (<xref ref-type="bibr" rid="B1">1</xref>). Although the knowledge on PH pathogenesis and treatment has improved in the past decade, it is still regarded as an extremely complex disease that required comprehensive and time-consuming inspections and evaluations, and the survival of the patient is still worrying. Nowadays, how to better manage patients to improve their prognosis is a tremendous challenge.</p>
<p>Facing this plateau, the exploration of serological biomarkers in PH is a promising way for effective disease management (<xref ref-type="bibr" rid="B1">1</xref>). However, the well-recognized serological biomarker is lacking except for brain natriuretic peptide (BNP) and N-terminal pro-BNP (NT-proBNP) up to date. A growing body of literature recently implicates metabolites that include betaine, choline, and trimethylamine N-oxide in CVD risk (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Betaine was obtained from food sources, such as grain products, vegetables, red meat, eggs, and fish (<xref ref-type="bibr" rid="B7">7</xref>), or synthesized <italic>de novo</italic> from the irreversible oxidation of choline <italic>via</italic> betaine aldehyde dehydrogenase and choline dehydrogenase predominantly in the liver, a process under homeostatic control in healthy humans (<xref ref-type="bibr" rid="B8">8</xref>). It has been suggested that high betaine levels may exert the prognostic value of major adverse cardiovascular event risk in table cardiac subjects who underwent elective diagnostic coronary angiography (<xref ref-type="bibr" rid="B9">9</xref>) and high dietary betaine intake was associated with an increased risk of incident coronary heart disease (<xref ref-type="bibr" rid="B10">10</xref>). Similar results were also reported in patients with diabetes mellitus (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>To our best knowledge, the role of betaine in PH has never been investigated. Here, we aimed to investigate the association of plasma betaine concentration and disease severity of patients with PH and to examine whether betaine could be served as a biomarker in clinical outcomes. Moreover, we also preliminarily explored the value of dynamic changes of betaine (&#x0394;betaine) in PH.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>This is a clinical study designed to evaluate the association between betaine levels and PH. The study was approved by the Ethics Committees of Fuwai Hospital and adhered to the Declaration of Helsinki. All patients were provided written informed consent.</p>
<sec id="S2.SS1">
<title>Study Population and Clinical Data Collection</title>
<p>Pulmonary hypertension was diagnosed as mean pulmonary atrial pressure (mPAP) &#x2265;25 mmHg by right heart catheterization (RHC) in this study. PH inpatients at Fuwai Hospital Pulmonary Vascular Word in China from March 2019 to April 2020 were enrolled. Exclusion criteria included (1) patients who were diagnosed as connective tissue disease-related PH or had the immune disease; (2) patients with acute coronary syndromes, active infection, malignancy, congestive heart failure, and diabetes; (3) incomplete clinical data; and (4) patients without rehospitalization. Clinical data that include demographic characteristics, World Health Organization Functional Class (WHO-FC), laboratory parameters, echocardiography, exercise capacity, and hemodynamics were collected in this study.</p>
</sec>
<sec id="S2.SS2">
<title>Follow-Up and Study Endpoint</title>
<p>Each patient received at least one follow-up through hospitalization visit and the fasting blood was obtained both at the first and second hospitalization for betaine and other clinical indicators detection. When exploring the association between betaine levels at baseline and clinical outcome, the follow-up duration was defined as the time from the first hospitalization to the occurrence of outcome or the end of follow-up. The mean duration was 14.3 (6.9, 21.3) months. In the analysis of &#x0394;betaine, the follow-up duration started from the second hospitalization and the mean duration was 9.9 (2.7, 15.3) months.</p>
<p>The study endpoint was defined as composite outcome events that include death, rehospitalization due to heart failure, escalation of targeted medication due to the disease condition, deterioration of PH that includes worsening symptoms, higher WHO-FC compared with baseline, or at least 15% decreased 6-min walk distance (6MWD) from baseline (<xref ref-type="bibr" rid="B12">12</xref>).</p>
</sec>
<sec id="S2.SS3">
<title>Quantification of Betaine</title>
<p>Collecting 5 ml of blood samples at fasting and centrifuging for 10 min at a speed of 3,000 rpm. The supernatants were obtained and stored at &#x2212;80&#x00B0;C. After thawing, 20 &#x03BC;l supernatants were aliquoted to a 1.5-ml tube and mixed with 80 &#x03BC;l of 5 &#x03BC;M internal standard composed of d9-metabolites in methanol. Protein in the samples was precipitated by vortexing for 1 min. Next, the samples were centrifuged at 20,000 <italic>g</italic> at 4&#x00B0;C for 10 min. In order to obtain the precise concentration of the analytes, a standard curve was performed using 20 &#x03BC;l of various concentration standards (0&#x2013;100 &#x03BC;M) processed in parallel. The coefficient of determination (R<sup>2</sup>) reached 0.99 in standard curves were acceptable. Supernatants (70 &#x03BC;l) were analyzed by injecting them onto a silica column using an LC-20AD Shimadzu pump system at a flow rate of 0.5 ml/min, SIL-20AXR Autosampler interfaced with an API 5500Q-TRAP mass spectrometer. A discontinuous gradient was generated to resolve the analytes by mixing solvent A (0.1% propanoic acid in water) with solvent B (0.1% acetic acid in methanol) at different ratios. Analytes were monitored using electrospray ionization in positive-ion mode with multiple reactions monitoring of precursor. Three quality-control samples with different betaine concentrations were measured every 20 samples.</p>
</sec>
<sec id="S2.SS4">
<title>Statistical Analysis</title>
<p>A restricted cubic spline was used to explore the linear or non-linear relationship between betaine and clinical outcome. Student&#x2019;s <italic>t</italic>-test or Wilcoxon rank sum test for continuous variables and &#x03C7;<sup>2</sup> test for categorical variables were used to examine the difference between groups. Paired-samples <italic>t</italic>-tests or paired Wilcoxon rank sum test was used to compare the changes between first and second hospitalization. Spearman&#x2019;s correlation (2-tailed), univariate or multivariate logistics were used to determine correlations between betaine and clinical markers of disease severity. Spearman&#x2019;s correlation (2-tailed) was also utilized for exploring the relation between &#x0394;betaine and changes in the clinical indicator. Kaplan&#x2013;Meier (KM) analysis and Cox proportional hazards regression were used for determining hazard ratios (HRs) and 95% confidence intervals (CIs). A two-sided <italic>p</italic> &#x003C; 0.05 was considered statistically significant. Analyses performed in this study used R 2.8.0 (Vienna, Austria), SPSS (version 23; IBM Corp.) and GraphPad (GraphPad Software, Inc).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Population Characteristics at Baseline</title>
<p>Finally, a total of 216 patients with PH, 140 pulmonary arterial hypertension, 61 chronic thromboembolic PH, 12 PH with multifactorial mechanisms, and 3 PH due to hypoxia, were included in this study. During the follow-up duration, 159 patients survived without clinical worsening, while 12 patients were rehospitalized for progression of PH or heart failure, 16 patients for escalation of targeted medication, and 5 patients were died.</p>
<p>The result of the restricted cubic spline showed the linear relationship of betaine in this study (non-linear, <italic>p</italic> = 0.100, <xref ref-type="fig" rid="F1">Figure 1</xref>). Patients with PH were stratified into low betaine and high betaine groups by 50th percentile of betaine and the basic characteristics are shown in <xref ref-type="table" rid="T1">Table 1</xref>. The medians (interquartile ranges) for betaine plasma levels in the total patients group, low betaine, and high betaine groups were 49.8 (39.0, 68.3) &#x03BC;M, 39.0 (33.5, 44.7) &#x03BC;M, and 68.1 (57.8, 88.7) &#x03BC;M, respectively. Patients in the high betaine group were elder and had a higher proportion of men than the low betaine group. Moreover, patients with high betaine received worse WHO-FC, higher NT-proBNP, larger right ventricular diameter (RVD), lower tricuspid annular plane systolic excursion (TAPSE), and cardiac output index than those with low betaine plasma levels (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Restricted cubic spline result of plasma betaine levels in relation to hazard ratio for the risk of clinical outcomes. Dark red line with 95% CI shaded in light red. HR, hazard ratio; CI, confidence interval.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-852009-g001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Characteristics of patients stratified by 50th percentile of betaine.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center">Total patients (N = 216)</td>
<td valign="top" align="center">Low betaine (N = 108)</td>
<td valign="top" align="center">High betaine (N = 108)</td>
<td valign="top" align="center"><italic>p</italic> value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">36 (27, 54)</td>
<td valign="top" align="center">32 (25, 46)</td>
<td valign="top" align="center">43 (30, 56)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Female sex, n (%)</td>
<td valign="top" align="center">141 (65.3)</td>
<td valign="top" align="center">79 (73.1)</td>
<td valign="top" align="center">62 (57.4)</td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup></td>
<td valign="top" align="center">22.0 &#x00B1; 3.9</td>
<td valign="top" align="center">21.5 &#x00B1; 4.2</td>
<td valign="top" align="center">22.6 &#x00B1; 3.4</td>
<td valign="top" align="center">0.067</td>
</tr>
<tr>
<td valign="top" align="left"><bold>WHO-FC, n (%)</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">I&#x2013;II</td>
<td valign="top" align="center">132 (61.1)</td>
<td valign="top" align="center">76 (70.4)</td>
<td valign="top" align="center">56 (51.9)</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">III&#x2013;IV</td>
<td valign="top" align="center">84 (38.9)</td>
<td valign="top" align="center">32 (29.6)</td>
<td valign="top" align="center">52 (48.1)</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Laboratories</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Betaine, &#x03BC;M</td>
<td valign="top" align="center">49.8 (39.0, 68.3)</td>
<td valign="top" align="center">39.0 (33.5, 44.7)</td>
<td valign="top" align="center">68.1 (57.8, 88.7)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP, pg/ml</td>
<td valign="top" align="center">446.3 (144.3, 1563.0)</td>
<td valign="top" align="center">304.0 (127.0, 659.8)</td>
<td valign="top" align="center">821.6 (194.5, 2328.5)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Albumin, g</td>
<td valign="top" align="center">42.3 &#x00B1; 4.8</td>
<td valign="top" align="center">42.8 &#x00B1; 4.5</td>
<td valign="top" align="center">41.8 &#x00B1; 5.1</td>
<td valign="top" align="center">0.203</td>
</tr>
<tr>
<td valign="top" align="left">Triglycerides</td>
<td valign="top" align="center">1.1 (0.8, 1.5)</td>
<td valign="top" align="center">1.1 (0.8, 1.5)</td>
<td valign="top" align="center">1.1 (0.8, 1.5)</td>
<td valign="top" align="center">0.687</td>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol, mM</td>
<td valign="top" align="center">4.2 &#x00B1; 1.1</td>
<td valign="top" align="center">4.2 &#x00B1; 1.1</td>
<td valign="top" align="center">4.1 &#x00B1; 1.1</td>
<td valign="top" align="center">0.975</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine, &#x03BC;M</td>
<td valign="top" align="center">75.0 (65.5, 90.0)</td>
<td valign="top" align="center">71.0 (62.4, 81.9)</td>
<td valign="top" align="center">82.3 (71.0, 95.0)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Echocardiography</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">LVEF, %</td>
<td valign="top" align="center">65.0 (60.0, 70.0)</td>
<td valign="top" align="center">65.0 (60.0, 69.3)</td>
<td valign="top" align="center">65.0 (60.0, 70.0)</td>
<td valign="top" align="center">0.533</td>
</tr>
<tr>
<td valign="top" align="left">RVD, mm</td>
<td valign="top" align="center">32.0 (27.0, 37.0)</td>
<td valign="top" align="center">30.0 (26.8, 36.0)</td>
<td valign="top" align="center">33.0 (27.5, 38.0)</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">TAPSE, mm</td>
<td valign="top" align="center">16.5 (14.0, 18.0)</td>
<td valign="top" align="center">18.0 (15.0, 19.0)</td>
<td valign="top" align="center">15.0 (13.0, 18.0)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Exercise capacity</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PeakVO<sub>2</sub>, mL/min/kg</td>
<td valign="top" align="center">47.4 &#x00B1; 15.3</td>
<td valign="top" align="center">15.0 &#x00B1; 4.1</td>
<td valign="top" align="center">14.1 &#x00B1; 3.7</td>
<td valign="top" align="center">0.249</td>
</tr>
<tr>
<td valign="top" align="left">VO<sub>2</sub>%</td>
<td valign="top" align="center">1.5 &#x00B1; 0.4</td>
<td valign="top" align="center">1.5 &#x00B1; 0.4</td>
<td valign="top" align="center">1.4 &#x00B1; 0.3</td>
<td valign="top" align="center">0.045</td>
</tr>
<tr>
<td valign="top" align="left">6MWD, m</td>
<td valign="top" align="center">422.3 &#x00B1; 96.5</td>
<td valign="top" align="center">426.4 &#x00B1; 86.8</td>
<td valign="top" align="center">417.3 &#x00B1; 107.5</td>
<td valign="top" align="center">0.096</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Hemodynamics</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">mRAP, mmHg</td>
<td valign="top" align="center">6.0 (4.0, 8.3)</td>
<td valign="top" align="center">6.0 (3.5, 8.5)</td>
<td valign="top" align="center">7.0 (4.0, 8.5)</td>
<td valign="top" align="center">0.538</td>
</tr>
<tr>
<td valign="top" align="left">mPAP, mmHg</td>
<td valign="top" align="center">57.0 (47.0, 70.0)</td>
<td valign="top" align="center">57.5 (46.8, 70.5)</td>
<td valign="top" align="center">56.5 (47.0, 70.8)</td>
<td valign="top" align="center">0.726</td>
</tr>
<tr>
<td valign="top" align="left">Cardiac output index, L/min&#x002A;m<sup>2</sup></td>
<td valign="top" align="center">3.2 &#x00B1; 1.0</td>
<td valign="top" align="center">3.4 &#x00B1; 1.1</td>
<td valign="top" align="center">2.9 &#x00B1; 0.9</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">PAWP, mmHg</td>
<td valign="top" align="center">8.0 (6.0, 11.0)</td>
<td valign="top" align="center">8.0 (6.0, 11.0)</td>
<td valign="top" align="center">9.0 (6.0, 11.0)</td>
<td valign="top" align="center">0.452</td>
</tr>
<tr>
<td valign="top" align="left">PVR, WU</td>
<td valign="top" align="center">6.7 (5.0, 11.2)</td>
<td valign="top" align="center">6.8 (5.0, 10.0)</td>
<td valign="top" align="center">6.6 (4.9, 11.7)</td>
<td valign="top" align="center">0.861</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Betaine represents plasma betaine concentrations and patients were stratified into low betaine and high betaine groups by 50th percentile of betaine (49.8 &#x03BC;M). BMI, body mass index; WHO-FC, World Health Organization Function Class; NT-proBNP, N-terminal pro-brain natriuretic peptide; LVEF, left ventricular ejection fraction; RVD, right ventricular diameter; TAPSE, tricuspid annular plane systolic excursion; 6MWD, 6-min walk distance; mRAP, mean right atrial pressure; mPAP, mean pulmonary atrial pressure; PAWP, pulmonary arterial wedge pressure; PVR, pulmonary vascular resistance.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>Correlation Between Betaine and Disease Severity</title>
<p><xref ref-type="supplementary-material" rid="TS1">Supplementary Table 1</xref> shows the correlations between betaine and clinical indicators. Following adjustments for confounders that include age, sex, body mass index (BMI; <xref ref-type="supplementary-material" rid="TS2">Supplementary Table 2</xref>), increased betaine was also associated with WHO-FC [odds ratio (OR) = 2.349, (95% CI: 1.241&#x2013;4.448), <italic>p</italic> &#x003C; 0.009], NT-proBNP [OR = 1.993, (95% CI: 1.026&#x2013;3.870), <italic>p</italic> = 0.042], TAPSE [OR = 2.026, (95% CI: 1.087&#x2013;3.779), <italic>p</italic> = 0.026], and cardiac output index [OR = 2.390 (95% CI: 1.087&#x2013;5.255), <italic>p</italic> = 0.030].</p>
</sec>
<sec id="S3.SS3">
<title>High Betaine Was Associated With Poor Prognosis of Patients With PH</title>
<p>Kaplan&#x2013;Meier analysis indicated the evidence that increased betaine level was associated with poor prognosis of patients with PH (<xref ref-type="fig" rid="F2">Figure 2</xref>, <italic>p</italic> = 0.001). Univariate Cox regression analysis was performed, which is shown in <xref ref-type="supplementary-material" rid="TS3">Supplementary Table 3</xref>. After adjusting for confounders that include sex, WHO-FC, creatinine, blood urea nitrogen, and cardiac output index, multivariate Cox analysis revealed that high betaine was still correlated to poor clinical outcome among patients with PH [HR = 2.080, (95% CI: 1.033&#x2013;4.188), <italic>p</italic> = 0.040, <xref ref-type="table" rid="T2">Table 2</xref>].</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Kaplan&#x2013;Meier (KM) analysis for the incidence of composite outcome events. Patients were divided into two groups according to the 50th percentile of plasma betaine concentrations (49.8 &#x03BC;M) at baseline. A total of 216 patients with PH were included for exploration. Value of <italic>p</italic> calculated by the log-rank test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-852009-g002.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Multivariate Cox analysis of plasma betaine levels and clinical outcomes.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variable</td>
<td valign="top" align="center">HR</td>
<td valign="top" align="center">95% CI</td>
<td valign="top" align="center"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Betaine (categorical variable)</td>
<td valign="top" align="center">2.080</td>
<td valign="top" align="center">1.033&#x2013;4.188</td>
<td valign="top" align="center">0.040</td>
</tr>
<tr>
<td valign="top" align="left">Sex, female</td>
<td valign="top" align="center">0.801</td>
<td valign="top" align="center">0.354&#x2013;1.812</td>
<td valign="top" align="center">0.595</td>
</tr>
<tr>
<td valign="top" align="left">WHO-FC</td>
<td valign="top" align="center">1.894</td>
<td valign="top" align="center">1.060&#x2013;3.383</td>
<td valign="top" align="center">0.031</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine, M m</td>
<td valign="top" align="center">1.027</td>
<td valign="top" align="center">1.002&#x2013;1.052</td>
<td valign="top" align="center">0.037</td>
</tr>
<tr>
<td valign="top" align="left">BUN, Mm</td>
<td valign="top" align="center">0.845</td>
<td valign="top" align="center">0.685&#x2013;1.042</td>
<td valign="top" align="center">0.116</td>
</tr>
<tr>
<td valign="top" align="left">Cardiac output index, L/(min/m<sup>2</sup>)</td>
<td valign="top" align="center">0.716</td>
<td valign="top" align="center">0.472&#x2013;1.086</td>
<td valign="top" align="center">0.116</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Betaine represents plasma betaine concentrations. Plasma betaine levels were put into the model as a categorical variable bounded by 50th percentile (49.8 &#x03BC;M). WHO-FC, World Health Organization Function Class; BUN, blood urea nitrogen.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Betaine Was Responsive to Clinical Outcome</title>
<p>In this section, due to the undetectable betaine levels of blood samples collected in the second hospitalization, 13 patients with PH were excluded. During follow-up, patients received relative therapy, which was recommended by the 2015 European Society of Cardiology PH guideline (<xref ref-type="bibr" rid="B1">1</xref>). Here, &#x0394;betaine and &#x0394;NT-proBNP were calculated as the value at the second admission visit minus the baseline value.</p>
<p>Betaine was decreased responsively among total patients [&#x0394;betaine = &#x2212;5.9 (&#x2212;15.7, 7.3) &#x03BC;M, <italic>p</italic> &#x003C; 0.001] positively with the decline of NT-proBNP (r = 0.25, <italic>p</italic> &#x003C; 0.001, <xref ref-type="fig" rid="F3">Figure 3</xref>). To further explore the association between &#x0394;betaine and clinical outcomes, KM analysis was utilized and the result showed that &#x0394;betaine &#x003E;0 also indicated a poor prognosis of patients with PH (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Changes of betaine between first and second hospitalization and the association between &#x0394;betaine and &#x0394;N-terminal pro-brain natriuretic peptide (NT-proBNP). <bold>(A)</bold> Demonstration of plasma levels of betaine after further guideline-recommended treatment in all PH participants (n = 203). Data were compared using paired-samples t-tests. &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001. <bold>(B)</bold> The positive association between &#x0394;betaine and &#x0394;NT-proBNP. &#x0394;betaine and &#x0394;NT-proBNP were defined as the value at the second admission visit minus the baseline value. Spearman&#x2019;s correlation (2-tailed) was used for analysis.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-852009-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>&#x0394;Betaine was associated with the prognosis of patients with PH. Patients were divided into two groups according to &#x0394;betaine &#x003E;0 or &#x0394;betaine &#x2264;0. Follow-up duration was defined from the second betaine measurement to the occurrence of outcomes or the end of follow-up. In this analysis, outcome events occurred in 23 patients between two measurement points, so these patients were excluded. Finally, a total of 180 patients with PH were included for exploration. Value of <italic>p</italic> calculated by the log-rank test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-852009-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Pulmonary hypertension is an under-recognized global health concern, and the general treatment of PH predominantly depends on the type and severity and the patient&#x2019;s symptoms (<xref ref-type="bibr" rid="B13">14</xref>). Metabolomics provides the measurement of various metabolites in human samples, which holds great promise for the discovery of pathways linked to disease processes in clinical research (<xref ref-type="bibr" rid="B14">15</xref>). Researchers had observed associations between betaine with the prevalence of type 2 diabetes mellitus (<xref ref-type="bibr" rid="B15">16</xref>). Additionally, systemic levels of choline and betaine, two closely connected metabolites in the dietary lipid phosphatidylcholine, were also reported to be independently associated with the prevalence of CVDs (<xref ref-type="bibr" rid="B14">15</xref>). Moreover, a number of studies have reported increased concentration of betaine associated with the increased incidence of acute coronary syndromes and increased blood lipid concentrations (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B16">17</xref>, <xref ref-type="bibr" rid="B17">18</xref>). These studies suggest a potential link between betaine with type 2 diabetes mellitus and CVDs. However, less is known about the role of betaine in PH. In this study, we conducted a clinical study to assess the associations between plasma betaine concentration with severity and prognosis of patients with PH.</p>
<p>The current study&#x2019;s 50th percentile of plasma betaine concentration was 49.8 mmol/L (interquartile range, 39.0&#x2013;68.3), which was comparable with two cohorts of patients with CVDs (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B18">19</xref>). Based on this baseline, we divided the study cohort into low and high betaine groups. Several key findings were noted in the baseline and correlation analysis. First, plasma betaine level was higher in older patients, and patients with high betaine were characterized by poor WHO-FC classification, higher NT-proBNP levels, larger RVD, and lower TAPSE and cardiac output index compared to those with low levels. Second, plasma betaine level was correlated positively with age, NT-proBNP, creatinine, and WHO-FC, and negatively with TAPSE, peak VO<sub>2</sub>, VO<sub>2</sub>%, and cardiac output index, of which WHO-FC, NT-proBNP, TAPSE, and cardiac output index remained statistically significant after adjusting for confounding factors. These correlating variables from the laboratory tests, echocardiography, and hemodynamics were all consensus-based criteria that have been identified to evaluate the severity and the risk stratification of patients with PH (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B19">20</xref>). The worsening WHO-FC is not only a strong predictor of follow-up survival but also an alarming indicator of disease progression. NT-proBNP is not specific for PH but remains the biomarker in the routine practice to provide information of myocardial stress at the time of diagnosis and follow-up assessments, which is also regarded as a strong prognostic predictor in PH (<xref ref-type="bibr" rid="B20">21</xref>, <xref ref-type="bibr" rid="B21">22</xref>). The cardiac output index assessed by RHC and the TAPSE measured by non-invasive echocardiogram are both robust reflections of heart function and are commonly used as indicators for severity assessment (<xref ref-type="bibr" rid="B1">1</xref>). Moreover, high levels of betaine remained robust to predict increased adverse prognosis regardless of potential confounders. Together, these results indicated that the plasma betaine level might have a positive correlation with PH severity in our study cohort. We had noticed no statistical differences in 6MWD and peakVO<sub>2</sub> between groups were explored. This might attribute to the fact that severe patients with PH did not receive 6MWD and cardiopulmonary exercise tests, which narrowed the actual gap between the two groups.</p>
<p>To better understand the prognostic role of betaine in PH treatment, we conducted an analysis with follow-up ascertainment of primary endpoints in patients who received recommended therapies. Here, we found that both low plasma betaine and dynamic decreased levels were associated with a preferable prognosis in patients with PH. The results remind us of the role of NT-proBNP in PH and we reasonably postulate plasma betaine probably plays a similar role as a biomarker. Betaine changes could provide more information about the patient, and the lifestyle and diet of the patients included in the analysis are relatively consistent, which could largely reduce the effect of diet on betaine biosynthesis. In addition, &#x0394;betaine was positively correlated with &#x0394;NT-proBNP, indicating the dynamic change of betaine might reflect the disease condition and help for the management of PH.</p>
<p>The evidence showed that betaine enabled to protect internal organs, improve vascular risk factors, and enhance performance (<xref ref-type="bibr" rid="B8">8</xref>). The positive effects of betaine supplementation in treating hyper-homocystinurics (<xref ref-type="bibr" rid="B22">23</xref>, <xref ref-type="bibr" rid="B23">24</xref>) and alcohol-induced hepatic steatosis (<xref ref-type="bibr" rid="B24">25</xref>) have also been elucidated. As a multifunctional agent, betaine possesses various physiological activities that include anti-oxidation, anti-inflammation, and anti-fibrosis (<xref ref-type="bibr" rid="B25">26</xref>&#x2013;<xref ref-type="bibr" rid="B27">28</xref>). Notably, one study found that betaine exerted an anti-angiogenic activity <italic><bold>in vivo</bold></italic> and <italic><bold>in vitro</bold></italic> through the suppression of nuclear factor-&#x03BA; B (NF-&#x03BA; B) and Akt activation (<xref ref-type="bibr" rid="B28">29</xref>), another study showed betaine attenuated isoproterenol-induced acute myocardial ischemia <italic>via</italic> the regulation of signal transducer and activator of transcription 3 and apoptotic pathways (<xref ref-type="bibr" rid="B29">30</xref>). However, our study pointed out that high betaine levels were associated with poor clinical outcomes in patients with PH. Similarly, a meta-analysis also revealed that increased concentrations of betaine were correlated with the risk of major adverse cardiovascular events (<xref ref-type="bibr" rid="B30">31</xref>). We postulated that the increase of betaine in plasma might be a consequence due to disease progression rather than a cause. Lever et al. (<xref ref-type="bibr" rid="B18">19</xref>) speculated that betaine might be leaking from tissues where it was accumulated as an osmolyte. The leakage was a part of pathology in disease indicating the metabolic failure in patients. More severe patients probably have more leakage resulting in higher metabolite concentrations in plasma. However, further studies are needed to dissect the underlying mechanisms involved in this association.</p>
<p>Our study is by far the largest of its kind to examine the relationship of plasma betaine with PH development and prognosis. The cohort included PH patients without connective tissue disease, immune disease, acute coronary syndromes, active infection, malignancy, congestive heart failure, or diabetes. As such, our findings are less likely confounded by other pre-existing disease conditions and medication usage. However, several potential concerns or limitations are worth mentioning. Firstly, we do not have information regarding the dietary patterns, which are significantly related to the betaine concentration detected in the blood (<xref ref-type="bibr" rid="B31">32</xref>). Similarly, no information was available regarding non-prescriptive dietary supplements that may have been utilized by patients at the time of the study. Moreover, as a single-center cohort, this research was conducted on Chinese populations, where dietary habits differ dramatically from that of western countries. As such, the prospective association between plasma betaine and PH remains uncertain in western populations. Regardless, we would like to emphasize that our study findings are preliminary and were just hypothesize generating. Since this work was designed as an observational study, the associations in the current study cannot be considered causal, all findings need to be further investigated by large-scale randomized trials. Our findings, if further confirmed, call for collaborative research effort in the next decade could lead to significant further progress and perhaps even a cure of PH.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>The increase in plasma betaine was associated with PH severity and heralded a poor prognosis of patients with PH. Moreover, the dynamic rise of betaine level was also associated with adverse prognosis. Our study revealed the promising biomarker role of betaine and further explorations are calling for.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committees of Fuwai Hospital (Approval No: 2018-1063). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>YY, JXu, JXue, and JZ contributed to the study design and interpretation of the results. YY, JXu, JXue, JZ, XL, BS, and BY contributed to the collection, analysis, or interpretation of data. YY and JXu prepared the manuscript. ZL, ZZ, QL, QZ, LZ, and CX critically revised the manuscript. All authors read and approved the final submitted version.</p>
</sec>
<sec id="conf1" 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="pudiscl1" 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>
</sec>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Capital Funds for Health Improvement and Research (CFH, Grant No. 2020-2-4035) and CAMS Innovation Fund for Medical Sciences (CIFMS, 2021-I2M-C&#x0026;T-A-009).</p>
</sec>
<sec id="S10" 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.2022.852009/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2022.852009/full#supplementary-material</ext-link></p>
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<supplementary-material xlink:href="Table_3.docx" id="TS3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_1.pdf" id="FS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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