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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1492746</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2024.1492746</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Diagnostic and prognostic values of HCG15 and morrbid in acute myocardial infarction</article-title>
<alt-title alt-title-type="left-running-head">Huang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2024.1492746">10.3389/fphar.2024.1492746</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Huang</surname>
<given-names>Min</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wu</surname>
<given-names>Bohua</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ou</surname>
<given-names>Xiuxia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Shuo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1436251/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Han</surname>
<given-names>Kedong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Lijian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Liang</surname>
<given-names>Haiyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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<contrib contrib-type="author">
<name>
<surname>Qiu</surname>
<given-names>Chunchan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Qingbo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2837427/overview"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Cardiology</institution>, <institution>Maoming People&#x2019;s Hospital</institution>, <addr-line>Maoming</addr-line>, <addr-line>Guangdong</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Cardiology</institution>, <institution>Huazhou People&#x2019;s Hospital</institution>, <addr-line>Maoming</addr-line>, <addr-line>Guangdong</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Cardiology</institution>, <institution>Guangdong Provincial People&#x2019;s Hospital</institution>, <addr-line>Guangzhou</addr-line>, <addr-line>Guangdong</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/94513/overview">Simone Brogi</ext-link>, University of Pisa, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/881366/overview">Xinghua Qin</ext-link>, Northwestern Polytechnical University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/276003/overview">Cristina Sorina C&#x103;tan&#x103;</ext-link>, University of Medicine and Pharmacy Iuliu Hatieganu, Romania</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Qingbo Xu, <email>qingbxu@126.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributedequally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1492746</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Huang, Wu, Ou, Sun, Han, Li, Liang, Qiu and Xu.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Huang, Wu, Ou, Sun, Han, Li, Liang, Qiu and Xu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Acute myocardial infarction (AMI) represents the gravest manifestation of ischemic heart disease, with the primary cause of mortality and morbidity worldwide. Although timely and accurate diagnosis of AMI is crucial in clinical practice, they are impeded by the limitation of current biomarkers. We aimed to explore the potential predictive value of two novel long non-coding RNA (lncRNA) HCG15 and Morrbid in AMI diagnosis and prognosis.</p>
</sec>
<sec>
<title>Method</title>
<p>We measured the lncRNA levels in the blood samples of 412 AMI patients and 111 healthy volunteers with the RT-PCR method. Receiver operating characteristic (ROC) curves were plotted to access the diagnostic value of selected lncRNAs. Restricted cubic splines (RCS) and the Kaplan-Meier method were utilized to examine the predictive value of the selected lncRNAs in AMI diagnosis.</p>
</sec>
<sec>
<title>Result</title>
<p>ROC curves identified an acceptable diagnostic value of HCG15 and Morrbid (AUC for HCG15: 0.937; AUC for Morrbid: 0.940). RCS and Kaplan-Meier analysis revealed the cut-off value of 3.6 for HCG15 and 4.0 for Morrbid have a good predictive value in MACCE within 12 months once AMI was diagnosed (<italic>p</italic>-value for HCG15: <italic>p</italic> &#x3d; 0.025; <italic>p</italic>-value for Morrbid: <italic>p</italic> &#x3c; 0.0001).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>HCG15 and Morrbid were confirmed as promising lncRNA biomarkers for both diagnosis and prognosis of AMI in this study. Additionally, their importance of application in real-world clinical practice and underlying mechanisms in AMI diagnosis and prognosis remain to be explored.</p>
</sec>
</abstract>
<kwd-group>
<kwd>myocardial infarction</kwd>
<kwd>HCG15</kwd>
<kwd>morrbid</kwd>
<kwd>diagnosis</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cardiovascular and Smooth Muscle Pharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>According to the Global Burden of Disease (GBD) study, ischemic heart disease (IHD) remained the leading cause of mortality and morbidity globally, accounting for 9,440,000 deaths and 185,000,000 disability-adjusted life years in 2021 (<xref ref-type="bibr" rid="B17">Vaduganathan et al., 2022</xref>). Acute myocardial infarction (AMI) is often deemed the most severe manifestation of IHD due to its rapid and irreversible damage to cardiomyocytes (<xref ref-type="bibr" rid="B10">Mechanic OJ and Grossman, 2024</xref>). Within the past decades, progressive treatment of cardiovascular risk factors and improvement in healthcare system facilitated a slow but gradual reduction of mortality rate (<xref ref-type="bibr" rid="B12">Nowbar et al., 2019</xref>). However, along with this slow decline of AMI mortality, non-fatal events occurred post-survival of AMI (i.e., heart failure, stroke, and bleeding) have incidentally increased (<xref ref-type="bibr" rid="B15">Shah et al., 2021</xref>), further deteriorating patients&#x2019; quality of life and intensifying the indirect economic burden on society (<xref ref-type="bibr" rid="B19">Weintraub et al., 2011</xref>). Therefore, early and accurate diagnosis of AMI is crucial for subsequent revascularization therapy, bringing substantial benefits for both individuals and the society.</p>
<p>Long noncoding RNAs (lncRNAs) have been demonstrated to participate multifarious cardiomyocyte activities, including genomic imprinting, epigenetic regulation, cell proliferation, development, aging, and apoptosis (<xref ref-type="bibr" rid="B18">Wang and Sun, 2020</xref>). During the occurrence of AMI, functional impairment of cardiomyocytes may cause the release of heart-specific lncRNAs. In this regard, lncRNAs exhibited promising potential in assisting the diagnosis and therapeutic targets of AMI. HLA complex group 15 (HCG15), one of the differentially expressed lncRNA, was proved to be encapsulated in exosomes released by cardiomyocytes during hypoxia and involved in cardiomyocyte apoptosis, inflammatory response, and proliferation inhibition through the activation of the NF-&#x3ba;B/p65 and p38 pathways (<xref ref-type="bibr" rid="B8">Lin et al., 2021</xref>). Another lncRNA named myeloid RNA regulator of Bim-induced death (Morrbid) was initially identified as a leukocyte-specific lncRNA and plays a key role in controlling leukocyte lifespan (<xref ref-type="bibr" rid="B6">Kotzin et al., 2016</xref>). Recently, Morrbid was also identified to be overexpressed in the cardiomyocytes with hypoxia or oxidative stress, potentially protecting the heart from AMI via antiapoptosis through its target gene serpine1 (<xref ref-type="bibr" rid="B21">Yu et al., 2023</xref>). However, the analysis of the correlation between those lncRNAs and AMI remained in the laboratory settings. Clinical evidence supporting the diagnostic and prognostic value of HCG15 and Morrbid in AMI is currently lacking.</p>
<p>This study aimed at evaluating the potential diagnostic and prognostic value of HCG15 and Morrbid in AMI management to introduce potential novel biomarkers for application in clinical practice.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Study population</title>
<p>From January 2021 to July 2022, a total of 412 consecutive patients with AMI were recruited from Maoming People&#x2019;s Hospital in Guangdong, China. Additionally, 111 volunteers without a history of cardiovascular diseases or other essential organ diseases were randomly recruited as healthy controls. The inclusion criteria were as followed: i) clinically diagnosed with AMI for AMI group aligned with the AHA and ESC guideline (<xref ref-type="bibr" rid="B3">Byrne et al., 2023</xref>; <xref ref-type="bibr" rid="B7">Lawton et al., 2021</xref>), and ii) without a history of any cardiovascular disease for control group. AMI patients who met the following criteria were excluded in the study: i) those with concurrent advanced or malignant diseases (such as organ failure or cancer), and ii) those who declined to participate. Data regarding age, body mass index (BMI), gender, hypertension, statin treatment, and diabetes were collected through history-taking and physical examination. The levels of specific lncRNAs were measured using venous blood samples in the hospital laboratory after enrollment. This study was approved by the ethical committee of Maoming People&#x2019;s Hospital (Approval No. PJ2022MI- LXQ030-01), and all participants signed informed consent forms to participate in this study.</p>
</sec>
<sec id="s2-2">
<title>Blood sample collection</title>
<p>Blood samples were obtained from AMI patients immediately after presentation and within 6&#xa0;h of symptom onset. Following routine laboratory tests for AMI diagnosis, the remaining blood samples from the EDTA tube, free from anticoagulant and hemolysis, were collected. The peripheral blood samples were centrifuged at 3,500&#xa0;rpm for 10&#xa0;min, and the resulting supernatant was transferred to an RNase-free tube and stored at &#x2212;80&#xb0;C for subsequent analyses. Plasma levels were measured for all potential biomarkers.</p>
</sec>
<sec id="s2-3">
<title>RNA extraction and qRT-PCR analysis</title>
<p>RNA was extracted from plasma using the miRNeasy Mini Kit (Qiagen, &#x23;217004). iScript<sup>&#xae;</sup> cDNA Synthesis Kit (Bio-Rad, &#x23;170&#x2013;8,891) was utilized for the reverse transcription of cDNA. RNase-Free DNase I Kit (Norgen, &#x23;25710) was utilized for on-column DNA removal to mitigate the potential genomic DNA contamination. The One Step TB Green<sup>&#xae;</sup> PrimeScript&#x2122; RT-PCR Kit II (Perfect Real Time) (TaKaRa, &#x23;RR086A) was utilized in the qRT-PCR procedure, employing specifically designed primers targeting lncRNA HCG15 and Morrbid. The aforementioned experiments were conducted in compliance with the instructions provided for the corresponding reagents. The internal control for qRT-PCR analysis of HCG15 and Morrbid was designated as GAPDH. The specific primers used in this studies were as follows: HCG15, 5&#x2032;- CGC&#x200b;GGG&#x200b;TCA&#x200b;CCT&#x200b;TCT&#x200b;GAA&#x200b;TTT-3&#x2032; (forward), 5&#x2032;- AAA&#x200b;GAG&#x200b;CGC&#x200b;AGT&#x200b;CCT&#x200b;TGC&#x200b;TG-3 &#x2032; (reverse) and Morrbid, 5&#x2032;- ACT&#x200b;GGA&#x200b;TGG&#x200b;TCG&#x200b;CTG&#x200b;CTT&#x200b;TT-3&#x2019; (forward), 5&#x2032;-CTT&#x200b;CCC&#x200b;AGG&#x200b;AAC&#x200b;TGT&#x200b;GCT&#x200b;GT-3&#x2019; (reverse). All tests were performed in triplicate with calculation of mean for the following analyses. The relative expression level of selected lncRNA was calculated following the 2<sup>&#x2212;&#x25b3;&#x25b3;Ct</sup> method.</p>
</sec>
<sec id="s2-4">
<title>Clinical outcomes</title>
<p>The primary endpoint to test the prognostic value was major adverse cardiac and cerebrovascular events (MACCE), including all-cause mortality, non-procedural myocardial infarction, repeat revascularization, and stroke (<xref ref-type="bibr" rid="B9">M&#xe4;kikallio et al., 2016</xref>).</p>
</sec>
<sec id="s2-5">
<title>Statistical analysis</title>
<p>Continuous variables were presented with median (interquartile range, IQR) and compared with the Kruskal&#x2013;Wallis test. Categorical variables were presented with counts (percentage) and compared with the &#x3c7;2 test. Receiver operating characteristic (ROC) curves were plotted and evaluated with the area under the ROC curve (AUC) to assess the diagnostic power of selected lncRNAs in AMI. Restricted cubic splines (RCS) were employed to visualize the relationship between the level of selected lncRNAs and the occurrence of MACCE within 12 months after AMI diagnosis. Additionally, cut-off values of the selected lncRNAs with respect to the hazard ratio (HR) of 1.00 were determined in RCS for further analysis. Survival analyses were performed using the Kaplan-Meier method followed by the log-rank test to compare the MACCE occurrences within 12 months between different levels of selected lncRNAs. All analyses and data visualization were conducted using the R (version 4.2.1), and a two-sided <italic>p</italic> &#x3c; 0.05 was considered to be statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Baseline characteristics</title>
<p>A total of 523 individuals were eventually included in this study, with 412 AMI patients and 111 healthy controls. The median age of AMI group and control group was 66.28 (IQR, 62.69&#x2013;69.75) years and 65.54 (IQR, 63.27&#x2013;68.62) years, respectively. There was no difference between these two groups, with 53.6% of males in the AMI group and 52.3% of males in the control group. The BMI level was significantly higher in the AMI group compared to the control group [27.09 (25.06&#x2013;29.13) vs 22.02 (20.25&#x2013;23.88), <italic>p</italic> &#x3c; .001]. The prevalence of hypertension, statin treatment, and diabetes was higher in the AMI group than in the control group (hypertension, <italic>p</italic> &#x3c; 0.001; statin treatment, <italic>p</italic> &#x3c; 0.001; and diabetes, <italic>p</italic> &#x3d; 0.005). Other detailed information about the baseline characteristics was shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline characteristics of the cohort.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variables</th>
<th align="left">AMI (N &#x3d; 412)</th>
<th align="left">Control (N &#x3d; 111)</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age, years</td>
<td align="left">66.28 (62.69&#x2013;69.75)</td>
<td align="left">65.54 (63.27&#x2013;68.62)</td>
<td align="left">.406</td>
</tr>
<tr>
<td align="left">BMI, kg/m<sup>2</sup>
</td>
<td align="left">27.09 (25.06&#x2013;29.13)</td>
<td align="left">22.02 (20.25&#x2013;23.88)</td>
<td align="left">&#x3c;.001</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="left">221 (53.6%)</td>
<td align="left">58 (52.3%)</td>
<td align="left">.878</td>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="left">265 (64.3%)</td>
<td align="left">42 (37.8%)</td>
<td align="left">&#x3c;.001</td>
</tr>
<tr>
<td align="left">Statin treatment</td>
<td align="left">214 (51.9%)</td>
<td align="left">24 (21.6%)</td>
<td align="left">&#x3c;.001</td>
</tr>
<tr>
<td align="left">Diabetes</td>
<td align="left">62 (15%)</td>
<td align="left">5 (4.5%)</td>
<td align="left">.005</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data were presented as median (interquartile range) or counts (percentage). Abbreviation: AMI, acute myocardial infarction; BMI, body mass index.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>The diagnostic value of HCG15 and morrbid</title>
<p>To evaluate the diagnostic value of HCG15 and Morrbid in AMI, we presented the ROC curves in <xref ref-type="fig" rid="F1">Figure 1</xref>. The AUC of HCG15 in AMI diagnosis was 0.937 (95% CI, 0.914&#x2013;0.960), and the cut-off value of the relative expression level was 2.505, with a specificity of 0.910 and a sensitivity of 0.908, respectively (<xref ref-type="fig" rid="F1">Figure 1A</xref>). The AUC of Morrbid in AMI diagnosis was slightly higher than HCG15 of 0.940 (95% CI, 0.929&#x2013;0.960), and the cut-off value of the relative expression level was 3.570, with a specificity of 0.928 and a sensitivity of 0.845, respectively (<xref ref-type="fig" rid="F1">Figure 1B</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>ROC of the selected lncRNAs. <bold>(A)</bold> The ROC curve of HCG15; <bold>(B)</bold> The ROC curve of Morrbid. ROC, Receiver operating characteristic.</p>
</caption>
<graphic xlink:href="fphar-15-1492746-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>The non-linear association based on RCS logistic regression</title>
<p>
<xref ref-type="fig" rid="F2">Figure 2A</xref> exhibited a non-linear association between the hazard ratio of MACCE within 12 months and the relative expression level of HCG15 among AMI patients. The relative expression level of HCG15 associated with a hazard ratio of more than 1.00 for MACCE within 12 months was 3.6. <xref ref-type="fig" rid="F2">Figure 2B</xref> similarly showed a non-linear association between the hazard ratio of MACCE within 12 months and the relative expression level of Morrbid. The threshold of the relative expression level of Morrbid associated with a hazard ratio of 1.00 of MACCE within 12 months was 4.0.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Association between relative expression level of the selected lncRNAs and HR of MACCE. <bold>(A)</bold> RCS of HCG15; <bold>(B)</bold> RCS of Morrbid. HR, harzard ratio; MACCE, major adverse cardiovascular and cerebrovascular event; RCS, restricted cubic spline.</p>
</caption>
<graphic xlink:href="fphar-15-1492746-g002.tif"/>
</fig>
<sec id="s4-1">
<title>The prognostic value of HCG15 and morrbid for MACCE</title>
<p>A total of 52 patients experienced MACCE during the 12 months follow-up. We tested the association between expression level of HCG15 and Morrbid with the occurrence of MACCE, with the visualization in <xref ref-type="fig" rid="F2">Figure 2</xref>. According to the RCS regression models, patients with AMI were divided into a high-level HCG15 group and a low-level HCG15 group with a cut-off expression level of 3.6 as well as a high-level Morrbid group and a low-level Morrbid group with a cut-off expression level of 4.0. To evaluate the prognostic value of HCG15 and Morrbid in AMI, we presented the Kaplan- Meier curves for freedom from MACCE in different levels of HCG15 and Morrbid in <xref ref-type="fig" rid="F3">Figure 3</xref>. The occurrence of MACCE was significantly higher in the high-level HCG15 group than in the low-level HCG15 group (<italic>p</italic> &#x3d; 0.025) (<xref ref-type="fig" rid="F3">Figure 3A</xref>). Similarly, a higher occurrence of MACCE was observed in the high-level Morrbid group (<italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F3">Figure 3B</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Kaplan-Meier curve of AMI patients with different expression level. <bold>(A)</bold> Kaplan- Meier curve of patients with different HCG15 expression level; <bold>(B)</bold> Kaplan-Meier curve of patients with different Morrbid expression level. AMI, acute myocardial infarction.</p>
</caption>
<graphic xlink:href="fphar-15-1492746-g003.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>Timely and accurate diagnosis of AMI is of great importance to maximize the benefits of treatment and further prognosis. To date, the rapid rule-in and rule-out of suspected AMI cases without apparent abnormalities in the ECG presentation in clinical practice relies on the elevated level of high-sensitivity cardiac troponin (hs-cTn) within 0&#xa0;h/1&#xa0;h algorithm above the upper limit of 99th among health population (<xref ref-type="bibr" rid="B3">Byrne et al., 2023</xref>). However, the diagnostic value of hs-cTn is confounded by general background (e.g., age, renal dysfunction, time from chest pain onset, and sex) (<xref ref-type="bibr" rid="B3">Byrne et al., 2023</xref>), other myocardial injury conditions (e.g., myocarditis, chronic heart failure, and cardiomyopathy) (<xref ref-type="bibr" rid="B13">Park et al., 2017</xref>; <xref ref-type="bibr" rid="B2">Ammirati et al., 2020</xref>), and extra-cardiac disease (e.g., diabetes mellitus, hypertension, and stroke) (<xref ref-type="bibr" rid="B1">Agewall et al., 2011</xref>), thereby challenging differential diagnosis of AMI in some particular patient status. An optimal biomarker should possess high specificity and sensitivity for disease diagnosis, providing timely and cost-effective results that hold significance. Furthermore, it should offer additional value beyond existing markers or clinical characteristics, and potentially even have the ability to predict prognosis (<xref ref-type="bibr" rid="B4">Chan and Ng, 2010</xref>). However, ideal biomarkers are still warrant in clinical practice.</p>
<p>Recently, mounting evidence has uncovered the potential predictive value of lncRNAs in AMI diagnosis (<xref ref-type="bibr" rid="B23">Zhu et al., 2023</xref>; <xref ref-type="bibr" rid="B20">Xie et al., 2022</xref>), given their widespread involvement in roles of normal cardiomyocyte activities (<xref ref-type="bibr" rid="B18">Wang and Sun, 2020</xref>). In this study, we assessed the potential diagnostic utility of HCG15 and Morrbid in cases of AMI due to their potential higher cardiac specificity and may be less disturbed by individual profiles, initial suggested in animal and cellular models (<xref ref-type="bibr" rid="B8">Lin et al., 2021</xref>; <xref ref-type="bibr" rid="B21">Yu et al., 2023</xref>). We also examined their predictive value for MACCE within 12 months following the diagnosis of AMI. Ultimately, this study revealed the potential supplementary diagnosis and predictive value of HCG15 and Morrbid in AMI management with real-world data, which might provide novel insight in AMI.</p>
<p>HCG15 was suggested to be the potential novel biomarker associated with AMI (<xref ref-type="bibr" rid="B8">Lin et al., 2021</xref>), and this hypothesis was further verified by our results. Cardiomyocyte apoptosis and inflammatory reaction are involved in the process of AMI with the activation of multiple signaling pathways. For instance, the mitogen-activated protein kinase (MAPK) signaling pathway and its subunit p38 induce cardiomyocyte apoptosis, dysfunction, and fibrosis (<xref ref-type="bibr" rid="B5">Ding et al., 2018</xref>). Moreover, the activation of NF-&#x3ba;B and its subunit signaling pathway can regulate the expression of inflammatory cytokines, which are involved in the development of AMI (<xref ref-type="bibr" rid="B16">Stokes and Winn, 2014</xref>). A previous study confirmed that HCG15 was higher among AMI patients compared with health individuals and participated in apoptosis, inflammatory reaction, and proliferation inhibition of cardiomyocytes by activating the p38 and NF-&#x3ba;B/p65 pathways (<xref ref-type="bibr" rid="B8">Lin et al., 2021</xref>). In addition, for the first time to our knowledge, we indicated the prognostic value of HCG15 in predicting the MACCE within 12 months. This may be explained by the involvement of HCG in cardiomyocyte apoptosis, indirectly reflecting the extent of myocardial fibrosis, which is associated with malignant arrhythmias and chronic heart failure. However, this theory requires further verification in future studies.</p>
<p>Morrbid was initially identified as a leukocyte-specific lncRNA that existed in both mice and humans to regulate leukocyte lifespan with its anti-apoptotic effect (<xref ref-type="bibr" rid="B6">Kotzin et al., 2016</xref>). After that, its association with left ventricular hypertrophy and AMI was further discovered (<xref ref-type="bibr" rid="B21">Yu et al., 2023</xref>; <xref ref-type="bibr" rid="B22">Zhang et al., 2015</xref>). Cardiac Morrbid levels increase during the pathophysiological process of AMI, such as hypoxia stress and oxidative stress, exerting an anti-apoptotic effect on cardiomyocytes to protect against infarct enlargement and cardiac dysfunction (<xref ref-type="bibr" rid="B21">Yu et al., 2023</xref>). However, our findings revealed that a higher risk of MACCE within 12 months was predicted by a higher level of Morrbid just after presentation to the hospital. Indeed, leucocytes play a central role in the inflammatory response of cardiomyocytes in AMI (<xref ref-type="bibr" rid="B11">Naruko et al., 2002</xref>; <xref ref-type="bibr" rid="B14">Sasmita et al., 2022</xref>), and increased Morrbid expression in leukocytes may prolong and intensify the inflammatory response, contributing to more severe cardiac injury and adverse clinical outcomes. Similarly, this hypothesis warrants further validation in future studies.</p>
<p>Several limitations should be addressed in this study. First, selective bias inevitably existed in this study due to some AMI patients refusing to participate. Therefore, multicenter studies with large sample sizes are warranted to validate our pioneering results. Second, informative or recall bias also occurred in this study because of the history taking of medical and medication history. Future studies should incorporate additional objective evidence, such as the comorbidity with diabetes being defined by the elevated level of fasting blood glucose or glycated hemoglobin. Third, the potential involvement of these two lncRNAs in other pathological processes needs to be more adequately considered. Hence, it is crucial to interpret the results of this study with caution. Last, although this study revealed the association between two lncRNAs and the value of diagnosis and prognosis in AMI, the underlying mechanisms of that remain to be elucidated.</p>
</sec>
<sec sec-type="conclusion" id="s6">
<title>Conclusion</title>
<p>In this study, we investigated the predictive value of HCG15 and Morrbid in AMI diagnosis, revealing that both of them were potential biomarkers for AMI diagnosis. In addition, we identified, for the first time, their predictive capability for MACCE within 12 months after AMI diagnosis. Conclusively, HCG15 and Morrbid emerge as novel and promising biomarkers associated with AMI, warranting further research focusing on them.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<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 sec-type="ethics-statement" id="s8">
<title>Ethics statement</title>
<p>This study was approved by the ethical committee of Maoming People&#x0027;s Hospital (Approval No. PJ2022MI-LXQ030-01). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s9">
<title>Author contributions</title>
<p>MH: Conceptualization, Data curation, Formal Analysis, Writing&#x2013;original draft, Writing&#x2013;review and editing. BW: Conceptualization, Data curation, Formal Analysis, Writing&#x2013;original draft, Writing&#x2013;review and editing. XO: Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. SS: Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. KH: Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. LL: Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. HL: Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. CQ: Investigation, Writing&#x2013;original draft, Writing&#x2013;review and editing. QX: Conceptualization, Supervision, Writing&#x2013;original draft, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s10">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<p>We thank all patients enrolled in this study.</p>
</ack>
<sec sec-type="COI-statement" id="s11">
<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 sec-type="disclaimer" id="s12">
<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>
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