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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
</journal-title-group>
<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.2025.1659228</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Atherosclerotic plaque, cardiovascular risk, and lipid-lowering strategies: a narrative review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Tam</surname><given-names>Frankie Chor-Cheung</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Lin</surname><given-names>Min-Qing</given-names></name>
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<contrib contrib-type="author">
<name><surname>Lam</surname><given-names>Tsun-Ho</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Tse</surname><given-names>Hung-Fat</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Wong</surname><given-names>Chun-Ka</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="cor1"><bold>&#x002A;</bold></xref>
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<aff id="aff1"><label>1</label><institution>Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong</institution>, <city>Hong Kong</city>, <country>Hong Kong SAR, China</country></aff>
<aff id="aff2"><label>2</label><institution>Cardiology Division, Department of Medicine, Queen Mary Hospital</institution>, <city>Hong Kong</city>, <country>Hong Kong SAR, China</country></aff>
<aff id="aff3"><label>3</label><institution>Cardiac and Vascular Center, University of Hong Kong Shenzhen Hospital</institution>, <city>Shenzhen</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Center for Translational Stem Cell Biology</institution>, <city>Hong Kong</city>, <country>Hong Kong SAR, China</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Chun-Ka Wong <email xlink:href="mailto:wongeck@hku.hk">wongeck@hku.hk</email></corresp>
<fn fn-type="other" id="fn001"><label>&#x2020;</label><p>ORCID Hung-Fat Tse <uri xlink:href="https://orcid.org/0000-0003-4665-7887">orcid.org/0000-0003-4665-7887</uri></p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-16"><day>16</day><month>12</month><year>2025</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1659228</elocation-id>
<history>
<date date-type="received"><day>03</day><month>07</month><year>2025</year></date>
<date date-type="accepted"><day>16</day><month>10</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Tam, Lin, Lam, Tse and Wong.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Tam, Lin, Lam, Tse and Wong</copyright-holder><license><ali:license_ref start_date="2025-12-16">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://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.</license-p></license>
</permissions>
<abstract>
<p>Atherosclerosis, driven primarily by cumulative exposure to low-density lipoprotein cholesterol (LDL-C), is the major cause of atherosclerotic cardiovascular disease (ASCVD). This narrative review examines the pathogenesis of atherosclerosis, linking risk factors, inflammatory pathways, and lipid abnormalities to the formation and progression of atheromatous plaques. Plaque characteristics such as volume, lipid content, fibrous cap thickness, and minimum lumen area are closely associated with cardiovascular outcomes, particularly the risk of major adverse cardiac events (MACEs). Intensive LDL-C lowering through statins, ezetimibe, PCSK9 inhibitors, and emerging agents like bempedoic acid has demonstrated clear benefits in regressing plaques, stabilizing their morphology, and significantly reducing cardiovascular risks. Despite guideline recommendations advocating intensive lipid-lowering strategies, real-world practice reveals considerable gaps, with many high- and very-high-risk patients failing to achieve LDL-C targets. Contributing factors include poor adherence, underuse of combination therapies, and treatment inertia. Early detection and preemptive management of subclinical atherosclerosis, particularly among younger individuals, are gaining attention as strategies to intercept the progression of disease before clinical events occur. Moreover, elevated lipoprotein(a) levels are increasingly recognized as an independent causal factor for ASCVD, and ongoing trials are evaluating specific Lp(a)-lowering therapies. Overall, optimizing lipid management through intensive, early intervention, patient adherence, and personalized treatment approaches holds the key to reducing the global burden of ASCVD. Addressing residual risks and refining early detection strategies will further advance the prevention and management of this chronic, progressive vascular disease.</p>
</abstract>
<kwd-group>
<kwd>atherosclerosis</kwd>
<kwd>low density lipoprotein</kwd>
<kwd>lipoprotein (a)</kwd>
<kwd>statin</kwd>
<kwd>ezetimibe</kwd>
<kwd>proprotein convertase subtilisin/kexin type 9 inhibitors</kwd>
</kwd-group><funding-group>
<funding-statement>The author(s) declare that no financial support was received for the research and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="5"/><equation-count count="0"/><ref-count count="71"/><page-count count="13"/><word-count count="1110"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Atherosclerosis and Vascular Medicine</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Atherosclerosis is a chronic disease originating from deposition of atheromatous plaques inside arterial walls, leading to lumen stenosis and hardening of arteries. Low-density lipoprotein cholesterol (LDL-C) is a causal and cumulative factor in the development of atherosclerosis and subsequent atherosclerotic cardiovascular disease (ASCVD) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). This narrative review describes the role of atherosclerotic plaque in the onset of ASCVD, relationship between LDL-C level, plaque characteristics, and cardiovascular outcomes as well as clinical implications from the interrelation. However, discrepancy exists between guideline-recommended LDL-C targets and real-world practice for primary and secondary prevention of ASCVD (<xref ref-type="bibr" rid="B2">2</xref>). This review also reveals challenges in real-world lipid management and looks forward to optimal atherosclerotic management, suggesting that early detection and treatment of subclinical atherosclerosis at younger age or intensive lipid-lowering strategy is necessary to reduce ASCVD risks.</p>
</sec>
<sec id="s2"><label>2</label><title>Atherosclerosis</title>
<sec id="s2a"><label>2.1</label><title>Pathogenesis and risk factors</title>
<p>The pathogenic process of atherosclerosis begins with endothelial cell dysfunction, leading to the accumulation and oxidation of LDL-C particles, activation of endothelial cells, and recruitment of monocytes into the intima. In the early stage of atherogenesis, macrophages differentiated from bound monocytes engulf the oxidized LDL and form foam cells. Immune cells such as T cells also contribute to the progression of fatty streak formation. Subsequently, smooth muscle cells from the media migrate and proliferate in the intima, the extracellular matrix such as collagen degrades, and necrosis and calcification develop, resulting in reduced stability of atherosclerotic plaques and eventual rupture (<xref ref-type="bibr" rid="B3">3</xref>). Finally, platelets become activated and thrombus formation occurs in the advanced stage of atherosclerosis (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Oxidized LDL has conventionally been considered as the primary driver of atherogenesis; however, recent evidence suggests that aggregated LDL associated with proteoglycan, or adaptive immune responses to native LDL, may also be involved in the mechanisms of plaque formation (<xref ref-type="bibr" rid="B5">5</xref>). Another factor linked to atherosclerosis is inflammation. Studies have shown that angiotensin II and adaptive T cell immunity, which participate in the pathogenesis of hypertension, can also provide inflammatory pathways for atherosclerosis (<xref ref-type="bibr" rid="B6">6</xref>). Biomarkers of inflammation, especially C-reactive protein, are increasingly deemed as predictors of cardiovascular risk (<xref ref-type="bibr" rid="B6">6</xref>). It was shown in randomized controlled trial setting that interleukin-1&#x03B2; inhibition in patients with history of myocardial infarction and raised high-sensitive C-reactive protein may potentially reduce subsequent cardiovascular events (<xref ref-type="bibr" rid="B7">7</xref>). Clonal hematopoiesis of indeterminate potential, which refers to age-related clonal expansion of blood stem cells with mutations linked to hematologic cancers, is a novel risk factor for inflammation-mediated atherosclerosis and adverse cardiovascular outcomes (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Microplastics and nanoplastics are also emerging as a potential risk factor for atherosclerosis through activating inflammatory pathways (<xref ref-type="bibr" rid="B9">9</xref>). Exposure to the above risk factors may alter the homeostatic properties of the endothelial monolayer, facilitating the initiation of atherogenesis (<xref ref-type="bibr" rid="B6">6</xref>). Continued accumulation of lipid and lipid-engorged cells allows the progression of atherosclerotic plaques, many of which will further develop calcification due to dysregulated deposition and impaired clearance of lipids, leading to the potential for rupture and thrombosis (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>) (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>).</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Histological features of atherosclerosis at different stages (<xref ref-type="bibr" rid="B11">11</xref>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1659228-g001.tif"><alt-text content-type="machine-generated">Diagram illustrating the progression of atherosclerosis from a normal vessel through various stages of plaque development (stages I to VI), including lipids, foam cells, and calcification. The stages transition from clinically silent to overt with potential rupture and thrombosis leading to hemorrhage.</alt-text>
</graphic>
</fig>
<p>Lipoprotein(a) [Lp(a)] has been increasingly recognized to be a contributor to the development of atherosclerosis via several proposed mechanisms (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>) (<xref ref-type="bibr" rid="B12">12</xref>). First, Lp(a) may have a pro-atherogenic effect, stimulating the formation of foam cells, proliferation of smooth muscle cells, and production of adherence molecules in endothelial cells of arteries (<xref ref-type="bibr" rid="B13">13</xref>). Second, it competes with plasminogen for binding sites on endothelial cells, resulting in antifibrinolytic and pro-thrombotic effects (<xref ref-type="bibr" rid="B14">14</xref>). Third, Lp(a) may stimulate inflammatory cytokines, which include interleukin-6 and tumor necrosis factor-&#x03B1;, possibly increasing the risk of inflammation and thus atherosclerosis (<xref ref-type="bibr" rid="B15">15</xref>). Recent research suggests that, although the underlying pathophysiology is not fully understood, an increase in Lp(a) level is an independent risk factor for coronary heart disease (CHD) (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Role of lipoprotein(a) in the atherosclerotic process (<xref ref-type="bibr" rid="B12">12</xref>). Apo(a), apolipoprotein(a); ApoB, apolipoprotein B; hs-CRP, high-sensitivity C-reactive protein; IL-6, interleukin 6; LDL, low-density lipoprotein; TNF-&#x03B1;, tumor necrosis factor alpha. Created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">Biorender</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1659228-g002.tif"><alt-text content-type="machine-generated">Diagram of an LDL-like lipoprotein featuring a red ApoB component and a surrounding Apo(a) layer. It illustrates pro-atherogenic effects such as increased foam cell formation, smooth muscle cell proliferation, and adhesion molecules production. Pro-inflammatory effects include increased IL-6, TNF-&#x03B1;, and hs-CRP. Pro-thrombotic effects involve decreased plasminogen activation, increased tissue factor pathway inhibitor activity, and platelet activation. A protease domain and oxidized phospholipid are also shown.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2b"><label>2.2</label><title>Plaque characteristics and cardiovascular events</title>
<p>Once established, atherosclerotic plaques continue to encroach upon the arterial lumen, leading to the formation of flow-limiting lesions and ischemia, and subsequently plaque rupture (<xref ref-type="bibr" rid="B10">10</xref>), which is the most common cause of acute thrombosis of coronary arteries leading to myocardial infarction (MI) (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Recent studies using serial angiographic data demonstrated that progression of atherosclerotic plaques can be rapid, possibly due to plaque disruption and subsequent thrombotic organization shortly (i.e., within 1&#x2013;3 months) before the onset of an acute clinical event, such as MI (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Thus, early detection and treatment of subclinical atherosclerosis at a younger age have been increasingly emphasized to modify plaque progression, reduce rupture, and prevent atherosclerotic clinical events (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>A number of studies using coronary angiography (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>) revealed that plaque progression in terms of luminal stenosis shortly before or at the onset of an acute MI, recurrent MI, or major adverse cardiac event (MACE, which is generally defined as the composite of cardiac death, non-fatal MI, unstable angina, or coronary revascularization) (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). One study in Japan demonstrated the process of plaque progression in coronary artery disease using four serial coronary arteriograms within 1 year (<xref ref-type="bibr" rid="B25">25</xref>). Among 36 patients, 14 (39&#x0025;) had vessels with marked plaque progression and a sudden surge in the mean stenosis observed from the third (46&#x2009;&#x00B1;&#x2009;13&#x0025;) to the fourth arteriogram (88&#x2009;&#x00B1;&#x2009;10&#x0025;); 71&#x0025; of these patients sustained acute coronary syndrome (<xref ref-type="bibr" rid="B25">25</xref>). In contrast, only three (14&#x0025;) of the 22 patients with gradual progression of stenosis throughout four arteriograms had an acute coronary event (<xref ref-type="bibr" rid="B25">25</xref>). Taken together, current coronary angiography studies suggest that rapid, substantial plaque progression is a critical predictor of plaque rupture and subsequent MI or other MACEs.</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Coronary angiography studies on changes in luminal stenosis from atherosclerosis to an acute event.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">No. of patients/lesions</th>
<th valign="top" align="center">Time of measurement</th>
<th valign="top" align="center">Mean (SD) diameter stenosis (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Ojio et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">20</td>
<td valign="top" align="left">6&#x2013;18 months before MI</td>
<td valign="top" align="center">30 (18)</td>
</tr>
<tr>
<td valign="top" align="center">20</td>
<td valign="top" align="left">&#x2264;1 week before MI</td>
<td valign="top" align="center">71 (12)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Glaser et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center" rowspan="2">157</td>
<td valign="top" align="left">At the time of initial PCI</td>
<td valign="top" align="center">41.8 (20.8)</td>
</tr>
<tr>
<td valign="top" align="left">At the onset of a recurrent event (follow-up, 1 year)</td>
<td valign="top" align="center">83.9 (13.9)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PROSPECT (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center" rowspan="2">74</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">32.3 (20.6)</td>
</tr>
<tr>
<td valign="top" align="left">At the onset of a MACE (median follow-up, 3.4 years)</td>
<td valign="top" align="center">65.4 (16.3)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Zaman et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">34</td>
<td valign="top" align="left">&#x003E;3 months before MI</td>
<td valign="top" align="center">36.5 (20.6)</td>
</tr>
<tr>
<td valign="top" align="center">7</td>
<td valign="top" align="left">&#x2264;3 months before MI</td>
<td valign="top" align="center">59.1 (31.5)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">PROSPECT II (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center" rowspan="2">66</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">46.9 (15.9)</td>
</tr>
<tr>
<td valign="top" align="left">At the onset of a MACE (median follow-up, 3.7 years)</td>
<td valign="top" align="center">68.4 (17.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>MACE, major adverse cardiac event; MI, myocardial infarction; PCI, percutaneous coronary intervention; SD, standard deviation.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In addition to stenosis, features of plaque morphology, such as plaque burden, minimum lumen area (MLA), fibrous cap thickness (FCT), lipid burden, and lipid arc, have also been shown to be associated with the risk of MACEs in multiple studies using optical coherence tomography (OCT), intravascular ultrasound (IVUS), or near-infrared spectroscopy (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>) (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). In the PROSPECT study (<xref ref-type="bibr" rid="B22">22</xref>), a plaque burden &#x2265;70&#x0025; (hazard ratio [HR], 5.03; 95&#x0025; confidence interval [CI], 2.51&#x2013;10.11; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), an MLA &#x2264;4.0&#x2005;mm<sup>2</sup> (HR, 3.21; 95&#x0025; CI, 1.61&#x2013;6.42; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.001), and a classification of thin-cap fibroatheromas (TCFAs; HR, 3.35; 95&#x0025; CI, 1.77&#x2013;6.36; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) were significant risk factors for recurrent MACEs related to non-culprit lesions. The LRP study (<xref ref-type="bibr" rid="B26">26</xref>) showed that each 100-unit increase in the maximum 4-mm Lipid Core Burden Index (maxLCBI<sub>4&#x2005;mm</sub>) significantly elevated the risk of non-culprit MACEs, with unadjusted and adjusted HRs on a patient level 1.21 (95&#x0025; CI, 1.09&#x2013;1.35; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0004) and 1.18 (95&#x0025; CI, 1.05&#x2013;1.32; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0043), respectively; and unadjusted HR on a lesion level 1.45 (95&#x0025; CI, 1.30&#x2013;1.60; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.0001) (<xref ref-type="bibr" rid="B26">26</xref>). Likewise, the PROSPECT II study (<xref ref-type="bibr" rid="B24">24</xref>) showed that a high lipid burden (maxLCBI<sub>4&#x2005;mm</sub>&#x2009;&#x2265;&#x2009;the upper quartile of all non-culprit lesions) and a large plaque burden (&#x2265;70&#x0025;) were independent predictors of non-culprit MACEs (<xref ref-type="bibr" rid="B24">24</xref>). In the CLIMA study (<xref ref-type="bibr" rid="B27">27</xref>) of 1,776 non-culprit plaques, an MLA &#x003C;3.5&#x2005;mm<sup>2</sup> (HR, 2.1; 95&#x0025; CI, 1.1&#x2013;4.0), FCT &#x003C;75&#x2005;mm (HR, 4.7; 95&#x0025; CI, 2.4&#x2013;9.0), lipid arc circumferential extension &#x003E;180&#x00B0; (HR, 2.4; 95&#x0025; CI, 1.2&#x2013;4.8), and the presence of OCT-defined macrophages (HR, 2.7; 95&#x0025; CI, 1.2&#x2013;6.1) were associated with an elevated risk of cardiac death or target segment MI (<xref ref-type="bibr" rid="B27">27</xref>). The recent COMBINE OCT-FFR study (<xref ref-type="bibr" rid="B28">28</xref>) provided further insights into the classification of lipid-rich plaque (LRP) lesions that increased the risk of MACEs. LRP lesions were associated with a higher risk of MACEs (HR, 3.9; 95&#x0025; CI, 0.9&#x2013;16.5; log-rank <italic>P</italic>&#x2009;&#x003D;&#x2009;0.049) than non-LRP lesions; however, TCFAs, which accounted for one-third of LRP lesions, had a significantly higher risk of MACEs compared with thick-cap fibroatheromas (ThCFAs; HR, 3.8; 95&#x0025; CI, 1.5&#x2013;9.5; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.01) as well as non-LRP lesions (HR, 7.7; 95&#x0025; CI, 1.7&#x2013;33.9; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.01) (<xref ref-type="bibr" rid="B25">25</xref>). ThCFAs and non-LRP lesions were not significantly different in terms of the risk of MACEs (HR, 2.0; 95&#x0025; CI, 0.42&#x2013;9.7; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.38) (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Characteristics of selected studies that investigated relationships between plaque morphology and the risk of cardiac events.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">No. of patients</th>
<th valign="top" align="center">Follow-up (months)</th>
<th valign="top" align="center">Primary endpoint</th>
<th valign="top" align="center">Imaging tool</th>
<th valign="top" align="center">Key findings</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">PROSPECT (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">697</td>
<td valign="top" align="center">40.8</td>
<td valign="top" align="left">Culprit and non-culprit MACEs</td>
<td valign="top" align="left">IVUS</td>
<td valign="top" align="left">Plaque burden &#x2265;70&#x0025; (vs. &#x003C;70&#x0025;), MLA &#x2264;4.0 (vs. &#x003E;4.0&#x2005;mm<sup>2</sup>), and TCFA (vs. ThCFA) were significant risk factors for recurrent MACEs related to non-culprit lesions</td>
</tr>
<tr>
<td valign="top" align="left">LRP (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">1271</td>
<td valign="top" align="center">24</td>
<td valign="top" align="left">Non-culprit MACEs</td>
<td valign="top" align="left">NIRS-IVUS</td>
<td valign="top" align="left">Each 100-unit increase in maxLCBI<sub>4mm</sub> significantly elevated the risk of non-culprit MACEs</td>
</tr>
<tr>
<td valign="top" align="left">CLIMA (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">1,003</td>
<td valign="top" align="center">12</td>
<td valign="top" align="left">Cardiac death and target segment MI</td>
<td valign="top" align="left">OCT</td>
<td valign="top" align="left">MLA &#x003C;3.5 (vs. &#x2265;3.5&#x2005;mm<sup>2</sup>), FCT &#x003C;75 (vs. &#x2265;75&#x2005;&#x00B5;m), lipid arc circumferential extension &#x003E;180&#x00B0; (vs. &#x2264;180&#x00B0;), and the presence of OCT-defined macrophages were associated with an elevated risk of cardiac death or target segment MI</td>
</tr>
<tr>
<td valign="top" align="left">PROSPECT II (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">898</td>
<td valign="top" align="center">44.4</td>
<td valign="top" align="left">Non-culprit MACEs</td>
<td valign="top" align="left">NIRS-IVUS</td>
<td valign="top" align="left">MaxLCBI<sub>4&#x2005;mm</sub>&#x2009;&#x2265;&#x2009;324.7 (vs. &#x003C;324.7) and plaque burden &#x2265;70&#x0025; (vs. &#x003C;70&#x0025;) were independent predictors of non-culprit MACEs</td>
</tr>
<tr>
<td valign="top" align="left">COMBINE OCT-FFR (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">390</td>
<td valign="top" align="center">18</td>
<td valign="top" align="left">Non-culprit MACEs</td>
<td valign="top" align="left">OCT&#x2009;&#x002B;&#x2009;FFR</td>
<td valign="top" align="left">LRP (vs. non-LRP) lesions were associated with a higher risk of MACEs; LRP-TCFA (FCT &#x2264;65&#x2005;&#x00B5;m; lipid arc &#x003E;90&#x00B0;) had a significantly higher risk of MACEs vs. LRP-ThCFA (FCT &#x003E;65&#x2005;&#x00B5;m) and non-LRP lesions; ThCFAs and non-LRP lesions were not significantly different in terms of the risk of MACEs</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF2"><p>FCT, fibrous cap thickness; FFR, fractional flow reserve; IVUS, intravascular ultrasound; LRP, lipid-rich plaque; MACE, major adverse cardiac event; maxLCBI<sub>4&#x2005;mm</sub>, maximum 4&#x2005;mm Lipid Core Burden Index; MI, myocardial infarction; MLA, minimum lumen area; NIRS, near-infrared spectroscopy; OCT, optical coherence tomography; TCFA, thin-cap fibroatheroma; ThCFA, thick-cap fibroatheroma.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s3"><label>3</label><title>Management of atherosclerosis</title>
<p>Lipid-lowering therapy targeting reductions in LDL-C levels remains the primary medicinal intervention for atherosclerotic cardiovascular disease (ASCVD). Statins are the most widely used lipid-lowering agents. Ezetimibe (<xref ref-type="bibr" rid="B29">29</xref>) and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>) are feasible treatment options to further reduce LDL-C levels. Bempedoic acid is a recently developed lipid-lowering agent that can be used in statin-intolerant patients (<xref ref-type="bibr" rid="B32">32</xref>). The sections below discuss the clinical data on relationships between reductions in LDL-C levels with lipid-lowering therapies, the morphology of coronary atherosclerotic plaques, and the risk of cardiovascular disease.</p>
<sec id="s3a"><label>3.1</label><title>Correlation between achieved LDL-C levels and plaque characteristics</title>
<p>Multiple clinical studies (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>) have been conducted to investigate the effects of intensive lipid-lowering therapies, including high-dose statins and PCSK9 inhibitors, on reducing the progression of atherosclerotic plaques among patients with coronary artery disease (at least one vessel with stenosis &#x2265;20&#x0025;; target segment with stenosis &#x2264;50&#x0025;) using IVUS imaging (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>). Clinical trial results were identified from PubMed and pooled data from these studies demonstrated that a lower level of achieved LDL-C was associated with more substantial regression of atherosclerotic plaques in terms of percent atheroma volume (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>).</p>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Prospective and randomized trials on the effects of intensive lipid-lowering therapies on the regression of coronary atherosclerotic plaques using intravascular ultrasonography.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Study</th>
<th valign="top" align="center" rowspan="2">No. of patients</th>
<th valign="top" align="center" rowspan="2">Follow-up (months)</th>
<th valign="top" align="center" colspan="3">Study arm</th>
<th valign="top" align="center" colspan="3">Comparator arm</th>
</tr>
<tr>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">LDL-C (mg/dl)</th>
<th valign="top" align="center">Change in PAV (&#x0025;)</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">LDL-C (mg/dl)</th>
<th valign="top" align="center">Change in PAV (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">REVERSAL (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">502</td>
<td valign="top" align="center">18</td>
<td valign="top" align="left">Atorvastatin</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">&#x002B;0.6</td>
<td valign="top" align="left">Pravastatin</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">&#x002B;1.9</td>
</tr>
<tr>
<td valign="top" align="left">ILLUSTRATE (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">910</td>
<td valign="top" align="center">24</td>
<td valign="top" align="left">Atorvastatin&#x2009;&#x002B;&#x2009;Torcetrapib</td>
<td valign="top" align="center">70.1</td>
<td valign="top" align="center">&#x002B;0.12</td>
<td valign="top" align="left">Atorvastatin</td>
<td valign="top" align="center">87.2</td>
<td valign="top" align="center">&#x002B;0.19</td>
</tr>
<tr>
<td valign="top" align="left">SATURN (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">1,039</td>
<td valign="top" align="center">24</td>
<td valign="top" align="left">Rosuvastatin</td>
<td valign="top" align="center">62.6</td>
<td valign="top" align="center">&#x2212;1.22</td>
<td valign="top" align="left">Atorvastatin</td>
<td valign="top" align="center">70.2</td>
<td valign="top" align="center">&#x2212;0.99</td>
</tr>
<tr>
<td valign="top" align="left">PRECISE-IVUS (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">202</td>
<td valign="top" align="center">9&#x2013;12</td>
<td valign="top" align="left">Atorvastatin&#x2009;&#x002B;&#x2009;Ezetimibe</td>
<td valign="top" align="center">63.2</td>
<td valign="top" align="center">&#x2013;1.4</td>
<td valign="top" align="left">Atorvastatin</td>
<td valign="top" align="center">73.3</td>
<td valign="top" align="center">&#x2013;0.3</td>
</tr>
<tr>
<td valign="top" align="left">GLAGOV (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">968</td>
<td valign="top" align="center">19</td>
<td valign="top" align="left">Evolocumab</td>
<td valign="top" align="center">36.6</td>
<td valign="top" align="center">&#x2013;0.95</td>
<td valign="top" align="left">Placebo</td>
<td valign="top" align="center">93.0</td>
<td valign="top" align="center">&#x002B;0.05</td>
</tr>
<tr>
<td valign="top" align="left">HUYGENS (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">161</td>
<td valign="top" align="center">12</td>
<td valign="top" align="left">Evolocumab</td>
<td valign="top" align="center">28.1</td>
<td valign="top" align="center">&#x2013;2.29</td>
<td valign="top" align="left">Placebo</td>
<td valign="top" align="center">87.2</td>
<td valign="top" align="center">&#x2013;0.61</td>
</tr>
<tr>
<td valign="top" align="left">PACMAN-AMI (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">12</td>
<td valign="top" align="left">Rosuvastatin&#x2009;&#x002B;&#x2009;Alirocumab</td>
<td valign="top" align="center">23.6</td>
<td valign="top" align="center">&#x2013;2.13</td>
<td valign="top" align="left">Rosuvastatin&#x2009;&#x002B;&#x2009;Placebo</td>
<td valign="top" align="center">74.4</td>
<td valign="top" align="center">&#x2013;0.92</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3"><p>LDL-C, low-density lipoprotein cholesterol; PAV, percent atheroma volume.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>Association between achieved levels of low-density lipoprotein cholesterol (LDL-C) and change in percent atheroma volume (PAV) in clinical trials using intravascular ultrasonography.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1659228-g003.tif"><alt-text content-type="machine-generated">Scatter plot showing the relationship between LDL-C achieved (mg/dL) on the x-axis and &#x0394;PAV (%) on the y-axis. Data points represent various studies with treatments such as atorvastatin, rosuvastatin, and evolocumab. A dotted trend line indicates a positive correlation.</alt-text>
</graphic>
</fig>
<p>Studies using OCT (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>) also showed that intensive lipid-lowering therapies were associated with favorable changes in plaque composition and microstructure, which included evaluation of FCT, lipid burden, MLA, and macrophage accumulation among patients with acute coronary syndrome (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>). The aggregated evidence, particularly from the HUYGENS (<xref ref-type="bibr" rid="B30">30</xref>) and PACMAN-AMI (<xref ref-type="bibr" rid="B31">31</xref>) studies on PCSK9 inhibitors, revealed that a lower level of LDL-C achieved was associated with a more marked increase in FCT (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>), suggesting a higher degree of stabilization of atherosclerotic plaques.</p>
<table-wrap id="T4" position="float"><label>Table&#x00A0;4</label>
<caption><p>Prospective and randomized trials on the effects of intensive lipid-lowering therapies on the stabilization of coronary plaques using optical coherence tomography.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Study</th>
<th valign="top" align="center" rowspan="2">No. of patients</th>
<th valign="top" align="center" rowspan="2">Follow-up (months)</th>
<th valign="top" align="center" colspan="6">Study arm</th>
<th valign="top" align="center" colspan="6">Comparator arm</th>
</tr>
<tr>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">LDL-C achieved (mg/dl)<xref ref-type="table-fn" rid="TF5"><sup>a</sup></xref></th>
<th valign="top" align="center">Change in FCT (&#x00B5;m)</th>
<th valign="top" align="center">Change in lipid burden (degree)</th>
<th valign="top" align="center">Change in MLA (mm<sup>2</sup>)</th>
<th valign="top" align="center">Macrophage accumulation<xref ref-type="table-fn" rid="TF6"><sup>b</sup></xref></th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">LDL-C achieved (mg/dl)<xref ref-type="table-fn" rid="TF5"><sup>a</sup></xref></th>
<th valign="top" align="center">Change in FCT (&#x00B5;m)</th>
<th valign="top" align="center">Change in lipid burden (degree)</th>
<th valign="top" align="center">Change in MLA (mm<sup>2</sup>)</th>
<th valign="top" align="center">Macrophage accumulation<xref ref-type="table-fn" rid="TF6"><sup>b</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">EASY-FIT (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">Atorvastatin 20&#x2005;mg qd</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">&#x002B;73</td>
<td valign="top" align="center">&#x2212;50</td>
<td valign="top" align="center">&#x2212;0.05</td>
<td valign="top" align="center">&#x2212;4.5</td>
<td valign="top" align="center">Atorvastatin 5&#x2005;mg qd</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">&#x002B;19</td>
<td valign="top" align="center">&#x2212;10</td>
<td valign="top" align="center">&#x2212;0.09</td>
<td valign="top" align="center">&#x2212;2.0</td>
</tr>
<tr>
<td valign="top" align="left">ALTAIR (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">Rosuvastatin&#x2009;
&#x002B;&#x2009;Alirocumab</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">&#x002B;140</td>
<td valign="top" align="center">&#x2212;26.2&#x0025; (lipid index)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">&#x2212;28.4</td>
<td valign="top" align="center">Rosuvastatin</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">&#x002B;45</td>
<td valign="top" align="center">&#x2212;2.8&#x0025; (lipid index)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">&#x2212;10.2</td>
</tr>
<tr>
<td valign="top" align="left">HUYGENS (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">161</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">Evolocumab</td>
<td valign="top" align="center">28.1</td>
<td valign="top" align="center">&#x002B;42.7</td>
<td valign="top" align="center">&#x2212;57.5</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">&#x2212;3.17</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">87.2</td>
<td valign="top" align="center">&#x002B;21.5</td>
<td valign="top" align="center">&#x2212;31.4</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">&#x2212;1.45</td>
</tr>
<tr>
<td valign="top" align="left">PACMAN-AMI (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">300</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">Alirocumab</td>
<td valign="top" align="center">23.6</td>
<td valign="top" align="center">&#x002B;62.67</td>
<td valign="top" align="center">&#x2212;79.42 (LCBI)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">&#x2212;25.98</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">74.4</td>
<td valign="top" align="center">&#x002B;33.19</td>
<td valign="top" align="center">&#x2212;37.60 (LCBI)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">&#x2212;15.95</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF4"><p>FCT, fibrous cap thickness; LCBI, Lipid Core Burden Index (maximum 4-mm); MLA, minimum lumen area; NR, not reported; qd, once daily.</p></fn>
<fn id="TF5"><label>a</label>
<p>Median levels of low-density lipoprotein cholesterol (LDL-C) were reported in the EASY-FIT and ALTAIR studies; mean levels of LDL-C were reported in the HUYGENS and PACMAN-AMI studies.</p></fn>
<fn id="TF6"><label>b</label>
<p>Accumulation grades were reported in EASY-FIT and ALTAIR; data on angular extension were reported in PACMAN-AMI; macrophages indexes were reported in HUYGENS.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F4" position="float"><label>Figure&#x00A0;4</label>
<caption><p>Association between achieved levels of low-density lipoprotein cholesterol (LDL-C) and change in fibrous cap thickness (FCT) in clinical trials using optical coherence tomography.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1659228-g004.tif"><alt-text content-type="machine-generated">Scatter plot illustrating the association between achieved LDL-C (mg/dL) on the x-axis and change in FCT (um) on the y-axis. Data points represent different studies using various treatments including rosuvastatin, alirocumab, evolocumab, atorvastatin, and placebo. A dotted trend line shows a negative correlation.</alt-text>
</graphic>
</fig>
<p>Taken together, clinical trials using IVUS and OCT have consistently shown that intensive reductions in LDL-C levels are associated with regression and stabilization of atherosclerotic plaques in patients with CHD.</p>
<p>Although we must acknowledge potential limitations of using imaging as a surrogate endpoint, such as imperfect correlation with clinical outcomes and measurement variability, it remains a valuable tool for assessing structural changes and providing insight into plaque progression in the process of atherosclerosis.</p>
</sec>
<sec id="s3b"><label>3.2</label><title>Correlation between achieved LDL-C levels and cardiovascular outcomes</title>
<p>A systematic review and meta-regression analysis of 17 prospective studies of dyslipidemia therapies showed that a 1&#x0025; decrease in the mean percent atheroma volume resulted from these treatments was associated with a 20&#x0025; reduction in the risk of MACEs (adjusted odds ratio, 0.82; 95&#x0025; CI, 0.70&#x2013;0.95; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.011) (<xref ref-type="bibr" rid="B41">41</xref>). In line with the beneficial effects on modifying the morphology of atherosclerotic plaques, intensive lipid-lowering therapies significantly reduce the risk of cardiovascular disease among patients with or without a history of CHD. A number of large-scale, long-term randomized controlled trials (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>) demonstrated that intensive reductions in levels of LDL-C using high-dose statins, PCSK9 inhibitors, or bempedoic acid significantly reduced the risk of first-onset or recurrent MACEs, which were generally referred to as the composite of cardiovascular death, non-fatal MI, non-fatal stroke, unstable angina, or coronary revascularization (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B42">42</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>). Pooled data from each randomized treatment arm showed that a lower level of LDL-C achieved was strongly associated with a lower incidence of MACEs (<xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>). Likewise, greater absolute reductions in LDL-C levels resulted from intensive lipid-lowering therapies compared with controls were associated with more substantial reductions in the relative risk of MACEs (i.e., lower HRs were reported in the randomized controlled trials), suggesting that there is a dose-dependent effect of LDL-C reduction on lowering the cardiovascular risk, regardless of the history of CHD (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B42">42</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>).</p>
<table-wrap id="T5" position="float"><label>Table&#x00A0;5</label>
<caption><p>Randomized controlled trials on the efficacy of intensive lipid-lowering therapies in reducing the cardiovascular risk in high-risk patients (primary prevention) or patients with a history of coronary heart disease (secondary prevention).</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Study</th>
<th valign="top" align="left" rowspan="2">Level of prevention</th>
<th valign="top" align="center" rowspan="2">No. of patients</th>
<th valign="top" align="center" rowspan="2">Follow-up (years)<xref ref-type="table-fn" rid="TF8"><sup>a</sup></xref></th>
<th valign="top" align="center" colspan="3">Study arm</th>
<th valign="top" align="center" colspan="3">Comparator arm</th>
<th valign="top" align="center" rowspan="2">Absolute reduction in LDL-C (mg/dl)</th>
<th valign="top" align="center" rowspan="2">Relative risk reduction in MACE (&#x0025;)</th>
</tr>
<tr>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">LDL-C achieved (mg/dl)<xref ref-type="table-fn" rid="TF9"><sup>b</sup></xref></th>
<th valign="top" align="center">MACE incidence (&#x0025;)<xref ref-type="table-fn" rid="TF10"><sup>c</sup></xref></th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">LDL-C achieved (mg/dl)<xref ref-type="table-fn" rid="TF9"><sup>b</sup></xref></th>
<th valign="top" align="center">MACE incidence (&#x0025;)<xref ref-type="table-fn" rid="TF10"><sup>c</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">PROSPER (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">5,804</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">Pravastatin</td>
<td valign="top" align="center">96.7</td>
<td valign="top" align="center">14.1</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">146.5</td>
<td valign="top" align="center">16.2</td>
<td valign="top" align="center">49.8</td>
<td valign="top" align="center">15</td>
</tr>
<tr>
<td valign="top" align="left">Heart Protection Study (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">20,536</td>
<td valign="top" align="center">4.8&#x2013;5.0</td>
<td valign="top" align="center">Simvastatin</td>
<td valign="top" align="center">88.9</td>
<td valign="top" align="center">19.8</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">127.6</td>
<td valign="top" align="center">25.2</td>
<td valign="top" align="center">38.7</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">TNT (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">10,001</td>
<td valign="top" align="center">4.9</td>
<td valign="top" align="center">Atorvastatin 80&#x2005;mg qd</td>
<td valign="top" align="center">77.0</td>
<td valign="top" align="center">8.7</td>
<td valign="top" align="center">Atorvastatin 10&#x2005;mg qd</td>
<td valign="top" align="center">101.0</td>
<td valign="top" align="center">10.9</td>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center">22</td>
</tr>
<tr>
<td valign="top" align="left">JUPITER (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">Primary</td>
<td valign="top" align="center">17,802</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">Rosuvastatin</td>
<td valign="top" align="center">55.0</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">109.0</td>
<td valign="top" align="center">2.8</td>
<td valign="top" align="center">54.0</td>
<td valign="top" align="center">44</td>
</tr>
<tr>
<td valign="top" align="left">ODYSSEY LONG TERM (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">2,341</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">Alirocumab</td>
<td valign="top" align="center">58.4</td>
<td valign="top" align="center">1.7</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">117.5</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">59.1</td>
<td valign="top" align="center">48</td>
</tr>
<tr>
<td valign="top" align="left">HOPE-3 (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="left">Primary</td>
<td valign="top" align="center">12,705</td>
<td valign="top" align="center">5.6</td>
<td valign="top" align="center">Rosuvastatin</td>
<td valign="top" align="center">95.0</td>
<td valign="top" align="center">4.4</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">124.5</td>
<td valign="top" align="center">5.7</td>
<td valign="top" align="center">29.5</td>
<td valign="top" align="center">25</td>
</tr>
<tr>
<td valign="top" align="left">OSLER (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="left">Primary</td>
<td valign="top" align="center">4,465</td>
<td valign="top" align="center">&#x223C;1.0</td>
<td valign="top" align="center">Evolocumab&#x2009;&#x002B;&#x2009;SOC</td>
<td valign="top" align="center">48.0</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">SOC</td>
<td valign="top" align="center">Not reported</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">73.0<xref ref-type="table-fn" rid="TF11"><sup>d</sup></xref></td>
<td valign="top" align="center">53</td>
</tr>
<tr>
<td valign="top" align="left">FOURIER (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">27,564</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">Evolocumab</td>
<td valign="top" align="center">30.0</td>
<td valign="top" align="center">9.8</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">Not reported</td>
<td valign="top" align="center">11.3</td>
<td valign="top" align="center">56.0<xref ref-type="table-fn" rid="TF11"><sup>d</sup></xref></td>
<td valign="top" align="center">15</td>
</tr>
<tr>
<td valign="top" align="left">ODYSSEY OUTCOMES (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">18,924</td>
<td valign="top" align="center">2.8</td>
<td valign="top" align="center">Alirocumab</td>
<td valign="top" align="center">66.0</td>
<td valign="top" align="center">9.5</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">103.0</td>
<td valign="top" align="center">11.1</td>
<td valign="top" align="center">37.0</td>
<td valign="top" align="center">15</td>
</tr>
<tr>
<td valign="top" align="left">CLEAR (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">13,970</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">Bempedoic acid</td>
<td valign="top" align="center">102.7</td>
<td valign="top" align="center">11.7</td>
<td valign="top" align="center">Placebo</td>
<td valign="top" align="center">124.3</td>
<td valign="top" align="center">13.3</td>
<td valign="top" align="center">21.6</td>
<td valign="top" align="center">13</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF7"><p>qd, once daily; SOC, standard of care.</p></fn>
<fn id="TF8"><label>a</label>
<p>Mean durations of follow-up were reported in the PROSPER, Heart Protection, and ODYSSEY LONG TERM studies; the remaining studies reported median durations of follow-up.</p></fn>
<fn id="TF9"><label>b</label>
<p>Median levels of low-density lipoprotein cholesterol (LDL-C) were reported in the JUPITER, OSLER, and FOURIER studies; the remaining studies reported mean levels of LDL-C.</p></fn>
<fn id="TF10"><label>c</label>
<p>A major adverse cardiovascular event (MACE) was generally defined as the composite of cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, unstable angina, or coronary revascularization.</p></fn>
<fn id="TF11"><label>d</label>
<p>In OSLER and FOURIER, reductions in LDL-C were means, whereas achieved LDL-C levels were medians.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F5" position="float"><label>Figure&#x00A0;5</label>
<caption><p>Association between achieved levels of low-density lipoprotein cholesterol (LDL-C) and incidences of major adverse cardiovascular events (MACEs): pooled data from randomized controlled trials.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1659228-g005.tif"><alt-text content-type="machine-generated">Scatter plot showing the association between achieved LDL-C (mg/dL) on the x-axis and incidence of MACE (%) on the y-axis. Data points represent different studies using various treatments including alirocumab, evolocumab, atorvastatin, pravastatin, and placebo. A dotted trend line shows a positive correlation.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3c"><label>3.3</label><title>Guideline recommendations for intensive lipid-lowering treatment</title>
<p>In a consensus statement from the European Atherosclerosis Society (EAS) (<xref ref-type="bibr" rid="B4">4</xref>), LDL-C is recognized as both a causal and a cumulative factor for the initiation and progression of ASCVD. The lower the LDL-C level achieved with lipid-lowering agents, the greater the clinical benefit amassed (<xref ref-type="bibr" rid="B4">4</xref>). Both relative and absolute risk reduction in major cardiovascular events resulting from lowering LDL-C will depend on a patient&#x0027;s baseline LDL-C level, the absolute magnitude of LDL-C reduction, and the duration of lipid-lowering treatment (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>More recently, the guidelines for the management of dyslipidemia established jointly by the European Society of Cardiology (ESC) and the EAS have articulated the dose-dependent effect of LDL-C-lowering agents on reducing the risk of ASCVD (<xref ref-type="bibr" rid="B51">51</xref>). The guidelines have also highlighted that the primary goal of targeted lipid management is to reduce atherosclerotic risk by markedly lowering LDL-C to levels that were attained in randomized controlled trials of PCSK9 inhibitors. In patients at high or very high cardiovascular risk, reducing LDL-C to as low a level as possible or a minimum 50&#x0025; reduction from the baseline LDL-C level, along with achieving the tailored goal is suggested (<xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>To achieve the ESC/EAS-recommended goals for LDL-C in patients at very high cardiovascular risk, even treatment with high-dose statins is often insufficient (<xref ref-type="bibr" rid="B52">52</xref>). Ray et al. proposed that the treatment paradigm for these patients should be shifted from an &#x201C;intensive statin therapy first&#x201D; approach to an &#x201C;intensive lipid-lowering combination therapy&#x201D; approach using ezetimibe or a PCSK9 inhibitor as an adjunct agent to facilitate effective LDL-C lowering and thus cardiovascular risk reduction (<xref ref-type="bibr" rid="B52">52</xref>).</p>
</sec>
</sec>
<sec id="s4"><label>4</label><title>Barriers to real-world lipid management</title>
<sec id="s4a"><label>4.1</label><title>Discrepancy between guideline recommendations and routine clinical practice</title>
<p>In view of the evidence-based cardioprotective benefits, intensive LDL-C&#x2013;lowering therapy has been recommended for patients at risk of ASCVD (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B51">51</xref>). However, achieving and maintaining guideline-recommended LDL-C goals in real-world practice remains a therapeutic challenge. A retrospective cohort study in the U.S. revealed that nearly 50&#x0025; of patients aged &#x2265;65 years discontinued statin treatment within the first year of the initial prescription, with a substantial decline in the adherence rate over time (<xref ref-type="bibr" rid="B53">53</xref>). Real-world clinical data from Germany (<xref ref-type="bibr" rid="B54">54</xref>) and Poland (<xref ref-type="bibr" rid="B55">55</xref>) showed that only 20&#x0025; of very high-risk patients attained the LDL-C goal of &#x003C;1.8&#x2005;mmol/L as recommended by the ESC/EAS at the time of the studies. More recently, the cross-sectional DA VINCI study conducted in 18 European countries found that only 25&#x0025; and 11&#x0025; of individuals at high risk and very high risk, respectively, achieved the LDL-C targets for primary prevention, and that only 18&#x0025; of patients with established ASCVD attained the LDL-C goals (<xref ref-type="bibr" rid="B56">56</xref>).</p>
</sec>
<sec id="s4b"><label>4.2</label><title>Possible reasons for not achieving the target LDL-C level</title>
<p>There are several possible reasons behind the failure to achieve guideline-recommended LDL-C goals. Non-adherence to lipid-lowering treatment is one major obstacle. Muscle symptoms, such as myalgia, are the most frequent adverse event (AE) that interrupts statin therapy (<xref ref-type="bibr" rid="B10">10</xref>). Other factors, such as patient education, complexity of treatment regimens, availability of drugs, reimbursement policies, and physician practice, also affect patient adherence (<xref ref-type="bibr" rid="B58">58</xref>). Another obstacle is the low use of guideline-recommended combination therapy for high- and very high-risk patients. The DA VINCI study (<xref ref-type="bibr" rid="B56">56</xref>) showed that moderate-intensity statin monotherapy was the most commonly used regimen for primary prevention of ASCVD in patients at high risk (64&#x0025;) and very high risk (69&#x0025;). Across all risk categories, merely 9&#x0025; of patients received ezetimibe in combination with a statin, and 1&#x0025; of patients received a PCSK9 inhibitor with a statin and/or ezetimibe (<xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>Some clinicians and patients have concern about the safety of achieving &#x201C;extremely low&#x201D; LDL-C (<xref ref-type="bibr" rid="B59">59</xref>). <italic>Post-hoc</italic> analysis of randomized controlled trials involving PCSK9 inhibitors revealed no increased risk of new or recurrent cancer, cataract-related adverse events, hemorrhagic stroke, new-onset diabetes, neurocognitive adverse events, muscle-related events, or non-cardiovascular death, were found in patients with LDL-C &#x003C;0.5&#x2005;mmol/L (<xref ref-type="bibr" rid="B60">60</xref>).</p>
</sec>
<sec id="s4c"><label>4.3</label><title>Optimizing the management of ASCVD</title>
<p>The benefits of intensive LDL-C&#x2013;lowering observed in clinical trials will only materialize in real-world practice if patients adhere to treatment. Patients who are suspected to have statin intolerance should consider careful statin re-challenge, because continued statin use after experiencing an AE remains effective in reducing the risk of cardiovascular events and all-cause mortality, especially in high-risk patients (<xref ref-type="bibr" rid="B61">61</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>). Lipid-lowering combination therapy should be promoted to facilitate the attainment of guideline-recommended LDL-C goals in patients at high and very high risk (<xref ref-type="bibr" rid="B52">52</xref>). Treatment adherence should be enhanced by improving health literacy. Even after achieving and maintaining LDL-C goals, patients should address the long-term residual risk of cardiovascular events by adhering to optimal management of comorbidities and recommended lifestyle modifications.</p>
</sec>
<sec id="s4d"><label>4.4</label><title>Emerging evidence on functionality of high-density lipoprotein (HDL)</title>
<p>While intensive LDL-C lowering remains a cornerstone of atherosclerotic cardiovascular disease prevention, emerging evidence indicates that considerable residual risk persists even after achieving very low LDL-C levels. This observation suggests that lipid-related risk extends beyond LDL-C concentration alone. Increasing recognition of dysfunctional HDL challenges the traditional paradigm that higher HDL-C invariably confers protection, underscoring that lipoprotein functionality may be as important as its circulating levels (<xref ref-type="bibr" rid="B57">57</xref>). Oxidative and inflammatory modifications can render HDL pro-atherogenic, impairing its cholesterol efflux, antioxidant, and anti-inflammatory properties (<xref ref-type="bibr" rid="B57">57</xref>). These findings collectively question whether further LDL-C reduction alone can meaningfully address residual risk. A more holistic approach that targets the restoration of lipoprotein quality and function may offer greater benefit in mitigating cardiovascular disease burden.</p>
</sec>
</sec>
<sec id="s5"><label>5</label><title>Future development</title>
<sec id="s5a"><label>5.1</label><title>Preemptive management of subclinical atherosclerosis</title>
<p>With a slow progression, atherosclerosis begins decades before the advent of clinical symptoms, which are often related to luminal stenosis or thrombotic obstruction. Studies have shown that subclinical atherosclerosis occurs and progresses early in life (<xref ref-type="bibr" rid="B10">10</xref>). In the PESA prospective cohort study of asymptomatic participants (mean age, 45.8 years) from a Spanish bank (<xref ref-type="bibr" rid="B64">64</xref>), subclinical atherosclerosis was detected using ultrasound and computed tomography (CT) in 63&#x0025; of the overall cohort (71&#x0025; for males; 48&#x0025; for females). An analysis (<xref ref-type="bibr" rid="B65">65</xref>) of Framingham Heart Study revealed that participants with no established risk factors at 50 years of age had a minimal lifetime risk for ASCVD (51.7&#x0025; for men; 39.2&#x0025; for women) and a long survival (median, 30 years for men; 36 years for women). These data suggest that addressing subclinical atherosclerosis and other risk factors at younger ages before symptom onset should be an emerging paradigm for the prevention of ASCVD.</p>
<p>An early, intensive reduction in LDL-C levels during young adulthood is increasingly considered an effective approach for the prevention of ASCVD via minimization of the progression of atherosclerotic plaque (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>). Six-year follow-up data from the PESA cohort study (<xref ref-type="bibr" rid="B66">66</xref>) demonstrated that one-third of middle-aged (40&#x2013;55 years at baseline), asymptomatic individuals had progression of subclinical atherosclerosis, and that the effect of elevated LDL-C on the risk of atherosclerotic progression was more significant in younger participants (age groups, 40&#x2013;43, 44&#x2013;47, and &#x2265;48 years; <italic>P</italic> for interaction&#x2009;&#x003D;&#x2009;0.04). These findings highlight the importance of strictly controlling risk factors at young ages for the prevention of atherosclerotic progression (<xref ref-type="bibr" rid="B66">66</xref>). Recently, a phase IV open-label single-arm ARCHITECT trial utilized a non-invasive quantitative CT scan to assess changes in coronary plaque burden and its morphology in patients who received alirocumab for familial hypercholesterolemia and had no clinical ASCVD (<xref ref-type="bibr" rid="B68">68</xref>). After 78 weeks of treatment, the patients demonstrated significant plaque regression (burden reduced from 34.6&#x0025; to 30.4&#x0025;; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) and plaque stabilization (fibro-fatty and necrotic plaque reduced by 3.9&#x0025; [<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001] and 0.6&#x0025; [<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001], respectively) on CT angiography (<xref ref-type="bibr" rid="B68">68</xref>). The ongoing PRECAD randomized trial (<xref ref-type="bibr" rid="B67">67</xref>) investigates the effect of maintaining LDL-C levels &#x003C;70&#x2005;mg/dl, along with rigorous control of blood pressure and glucose, on the risk of new-onset atherosclerosis and/or its progression in individuals aged 20&#x2013;39 years without known cardiovascular disease. The results will inform the future prospect of primary prevention strategies for ASCVD in young adults.</p>
</sec>
<sec id="s5b"><label>5.2</label><title>Lp(a)</title>
<p>Elevated Lp(a) levels have been increasingly recognized as a causal and continuous risk factor for cardiovascular events. It is estimated that each 50&#x2005;nmol/L increase in the Lp(a) level compared to the median is associated with an approximately 20&#x0025; surge in the risk of MACEs (<xref ref-type="bibr" rid="B69">69</xref>). Despite strong genetic and epidemiological evidence linking elevated Lp(a) to ASCVD risk, no specific Lp(a)-lowering therapy has yet received regulatory approval. While we eagerly anticipate the results of large-scale randomized controlled trials investigating the impact of specific Lp(a)-lowering therapies on the risk of MACEs in patients with ASCVD, including Lp(a)HORIZON on pelacarsen (NCT04023552) and OCEAN(a) on olpasiran (NCT05581303), an extra reduction in LDL-C could be considered to mitigate the residual risk associated with an elevation in Lp(a) at different ages (<xref ref-type="bibr" rid="B69">69</xref>). Additionally, reductions in Lp(a) induced by PCSK9 inhibitors may further reduce the risk of cardiovascular events. In a pre-specified analysis of the phase III randomized FOURIER trial, evolocumab reduced the risk of CHD death, MI or urgent revascularization by 23&#x0025; (HR, 0.77; 95&#x0025; CI, 0.67&#x2013;0.88) in patients with a higher-than-median level of Lp(a) at baseline, and by 7&#x0025; (HR, 0.93; 95&#x0025; CI, 0.80&#x2013;1.08; <italic>P</italic><sub>interaction</sub>&#x2009;&#x003D;&#x2009;0.07) in patients with a Lp(a) level not exceeding the median at baseline (<xref ref-type="bibr" rid="B70">70</xref>). In a pre-specified analysis of the phase III randomized ODYSSEY Outcomes trial, a 1&#x2005;mg/dl reduction in Lp(a) with alirocumab was associated with an HR of 0.994 (95&#x0025; CI, 0.990&#x2013;0.999; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0081) for the risk of MACEs (<xref ref-type="bibr" rid="B71">71</xref>).</p>
</sec>
</sec>
<sec id="s6" sec-type="conclusions"><label>6</label><title>Conclusion</title>
<p>The formation, evolution, and rupture of atherosclerotic plaque are the major risk factors for the development of ASCVD, which is a critical public health threat worldwide. Plaque progression in terms of luminal stenosis and morphological features is associated with an elevated risk of acute coronary syndrome. Reductions in LDL-C levels have dose-dependent effects on the regression and stabilization of atherosclerotic plaques, as well as the reduction in the risk of cardiovascular disease. The relationships between LDL-C levels, plaque morphology, and clinical outcomes have supported the central role of intensive lipid-lowering therapy in the prevention of ASCVD. Current guidelines recommend that individuals at very high risk should consider combination therapy to facilitate the attainment of the LDL-C goal. In real-world practice, patient adherence is the prerequisite to acquire the clinical benefits of intensive lipid-lowering therapy. Considering the rapidity of plaque progression, subclinical atherosclerosis should be detected, preferably with non-invasive imaging tools, at early stages, facilitating early management of LDL-C levels and prevention of ASCVD in the long term.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="author-contributions"><title>Author contributions</title>
<p>FC-CT: Conceptualization, Data curation, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. M-QL: Conceptualization, Writing &#x2013; review &#x0026; editing. T-HL: Conceptualization, Writing &#x2013; review &#x0026; editing. H-FT: Writing &#x2013; review &#x0026; editing. C-KW: Conceptualization, Formal analysis, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>Sanofi provided Editorial support. The authors are responsible for all content and editorial decisions and received no payment from Sanofi directly or indirectly related to this publication.</p>
</ack>
<sec id="s9" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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<sec id="s11" 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>
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<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1517393/overview">Alexander Akhmedov</ext-link>, University of Zurich, Switzerland</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1253133/overview">Achuthan Raghavamenon</ext-link>, Amala Cancer Research Centre, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3013396/overview">Cristina Madaudo</ext-link>, University of Palermo, Italy</p></fn>
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<fn fn-type="abbr" id="abbrev1"><label>Abbreviations:</label><p>ASCVD, atherosclerotic cardiovascular disease; CHD, coronary heart disease; DM, diabetes mellitus; ESC/EAS, European Society of Cardiology/European Atherosclerosis Society; FCT, fibrous cap thickness; IVUS, intravascular ultrasound; LDL-C, low-density lipoprotein cholesterol; LRP, lipid-rich plaque; Lp(a) , lipoprotein(a); MACE, major adverse cardiac event; MI, myocardial infarction; MLA, minimum lumen area; OCT, optical coherence tomography; PCSK9, proprotein convertase subtilisin/kexin type 9; TCFAs, thin-cap fibroatheromas; ThCFAs, thick-cap fibroatheromas.</p></fn>
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