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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2025.1657300</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Nanoparticle-based drug delivery systems targeting inflammatory immune mechanisms in acute myocardial infarction: current advances and perspectives</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Li</surname><given-names>Yuxuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1821712/overview"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Li</surname><given-names>Peng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3243368/overview"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Wang</surname><given-names>Wujiao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1988971/overview" /><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Yuanyuan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Sinai</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/695721/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Li</surname><given-names>Dong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2096316/overview" /><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Lin</surname><given-names>Qian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Cardiology, Dongzhimen Hospital, Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Cardiology, Dongfang Hospital, Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Center for Basic Experiments, Beijing Hospital of Traditional Chinese Medicine (Beijing Institute of Traditional Chinese Medicine), Capital Medical University</institution>, <addr-line>Beijing</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/848253/overview">Mihaela Popescu</ext-link>, Carol Davila University of Medicine and Pharmacy, Romania</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/1799448/overview">Yun Xiao</ext-link>, Zhejiang University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3103670/overview">&#x00D6;zkan Bekler</ext-link>, Istanbul Medipol University, T&#x00FC;rkiye</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Dong Li <email>dongdong871103@163.com</email> Qian Lin <email>linqian62@126.com</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>23</day><month>10</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1657300</elocation-id>
<history>
<date date-type="received"><day>01</day><month>07</month><year>2025</year></date>
<date date-type="accepted"><day>08</day><month>10</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Li, Li, Wang, Zhang, Li, Li and Lin.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Li, Li, Wang, Zhang, Li, Li and Lin</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Acute myocardial infarction (AMI) remains a major cause of cardiovascular mortality worldwide. The inflammatory immune response after AMI plays a dual role: it facilitates the clearance of necrotic tissue but can also exacerbate injury, significantly affecting patient outcomes. Conventional anti-inflammatory therapies are often limited by systemic toxicity and insufficient targeting, highlighting the need for more refined approaches. This review systematically examines the interplay between AMI&#x0027;s key inflammatory immune mechanisms&#x2014;including neutrophil N1/N2 phenotypic switching, macrophage M1/M2 polarization, and Treg/Th17 lymphocyte balance&#x2014;and advancements in nanoparticle-based drug delivery systems (NP-NDDSs) designed to target these mechanisms. NP-NDDSs utilize properties such as size-dependent accumulation, surface functionalization, and stimuli-responsive release (e.g., to pH, ROS, or enzymes) to improve spatiotemporal control over drug delivery. Various nanocarriers, including organic (e.g., liposomes, polymers), inorganic (e.g., gold, silica), and biomimetic (e.g., cell membrane- or exosome-based) systems, have shown potential in influencing neutrophil extracellular trap formation, macrophage phenotype, and lymphocyte activity. These developments suggest that NP-NDDSs could help control excessive inflammation, support tissue repair, and limit adverse remodeling. Nevertheless, challenges in targeting precision, manufacturing scalability, and long-term biosafety remain to be addressed. By summarizing current advances and identifying future needs, this review aims to provide a basis for developing targeted therapies against immune-mediated injury in AMI.</p>
</abstract>
<kwd-group>
<kwd>acute myocardial infarction</kwd>
<kwd>inflammatory immune mechanisms</kwd>
<kwd>nanoparticle-based drug delivery systems</kwd>
<kwd>neutrophils</kwd>
<kwd>macrophages</kwd>
</kwd-group><contract-num rid="cn001">zyyzdxk-2023253</contract-num><contract-sponsor id="cn001">National Administration of Traditional Chinese Medicine High-level TCM Key discipline Project</contract-sponsor><counts>
<fig-count count="5"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="187"/><page-count count="22"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Cardiovascular Pharmacology and Drug Discovery</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>The widespread adoption of coronary revascularization and guideline-directed medical therapies has contributed to a progressive decline in age-standardized mortality after acute myocardial infarction (AMI) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Nevertheless, the incidence of recurrent adverse events, such as heart failure-related hospitalizations and death, remains substantial following MI (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). After AMI, cardiomyocyte necrosis leads to the release of damage-associated molecular patterns (DAMPs), which initiate an inflammatory cascade. This response has a dual role (<xref ref-type="bibr" rid="B6">6</xref>) in the early phase, it supports the clearance of necrotic tissue and promotes repair; however, excessive or prolonged infiltration of neutrophils and monocytes may aggravate myocardial injury (<xref ref-type="bibr" rid="B7">7</xref>) and contribute to adverse ventricular remodeling and heart failure (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Thus, careful modulation of the inflammatory response is considered important for improving outcomes after AMI (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Current treatment strategies for MI are limited by the systemic side effects and poor targeting of conventional anti-inflammatory agents. Although drugs such as IL-1&#x03B2; inhibitors, colchicine, and corticosteroids can reduce inflammation, their systemic use is often associated with undesirable effects. Moreover, the complex myocardial microenvironment limits efficient drug delivery, compromising therapeutic efficacy (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>To address these limitations, nanoparticle-based drug delivery systems (NP-NDDSs) have attracted growing interest. Engineered nanoparticles (NPs) provide a versatile platform due to their tunable physicochemical properties, which can enhance stability and biocompatibility. By optimizing the NP core material, these systems improve drug encapsulation and enable sustained release, reducing premature degradation <italic>in vivo</italic> (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Additionally, surface modification with targeting ligands (e.g., antibodies or peptides) promotes accumulation within diseased tissues, increasing therapeutic specificity and limiting off-target effects (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>In cardiovascular applications, NP-NDDSs may help reduce systemic side effects through targeted delivery designs (<xref ref-type="bibr" rid="B16">16</xref>) and extend the therapeutic window by controlling drug release kinetics (<xref ref-type="bibr" rid="B17">17</xref>). These systems have also been shown to deliver anti-inflammatory agents to neutrophils, curbing excessive inflammation and ameliorating myocardial injury (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Similarly, NP-NDDSs can modulate macrophage phenotype and function, which may improve cardiac recovery after AMI (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Although clinical translation remains challenging&#x2014;particularly in optimizing targeting efficiency and scaling up manufacturing (<xref ref-type="bibr" rid="B21">21</xref>)&#x2014;continuing advances in NP engineering may help address some limitations of conventional drug delivery. NP-NDDSs represent a promising strategy for precision medicine (<xref ref-type="bibr" rid="B22">22</xref>) and could play a role in regulating inflammatory and immune processes in AMI. This review systematically outlines recent advances in NP-NDDSs for managing post-AMI inflammatory injury and supporting myocardial repair, with a focus on targeting strategies, mechanisms of action, and translational challenges. The aim is to offer a reasoned foundation for developing effective and safe NP-based therapies for AMI.</p>
</sec>
<sec id="s2"><label>2</label><title>Pathomechanisms of inflammation and immunity in AMI</title>
<p>Extensive cardiomyocyte death, activation of the innate immune system, and widespread inflammation are common pathological features of acute myocardial infarction (AMI). The acute inflammatory response is a key determinant of final infarct size and the development of adverse ventricular remodeling, highlighting its modulation as an important cardioprotective goal (<xref ref-type="bibr" rid="B23">23</xref>). Post-AMI inflammation in the myocardium progresses through three distinct phases: the alarm phase, the leukocyte mobilization phase, and the resolution phase (<xref ref-type="bibr" rid="B24">24</xref>). During the alarm phase, dying cardiomyocytes and other cells release signaling molecules known as DAMPs such as high-mobility group box 1 protein (HMGB1) (<xref ref-type="bibr" rid="B25">25</xref>), heat shock proteins (HSPs) (<xref ref-type="bibr" rid="B26">26</xref>), and fibronectin (<xref ref-type="bibr" rid="B27">27</xref>). DAMPs bind to pattern recognition receptors (PRRs) &#x2014;including Toll-like receptors (TLRs), nucleotide-binding oligomerization domain (NOD)-like receptors, and the receptor for advanced glycation end products (RAGE) &#x2014;thereby initiating innate immune pathways (<xref ref-type="bibr" rid="B28">28</xref>). Key pro-inflammatory signaling pathways activated in innate immune cells include the NOD-like receptor family pyrin domain-containing 3/interleukin-1 beta (NLRP3/IL-1&#x03B2;) pathway (<xref ref-type="bibr" rid="B29">29</xref>), the Toll-like receptor 4/nuclear factor kappa-light-chain-enhancer of activated B cells (TLR-4/NF-&#x03BA;B) pathway (<xref ref-type="bibr" rid="B30">30</xref>) and the Janus kinase-signal transducer and activator of transcription (JAK-STAT) signaling pathway (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>As summarized in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>, the dynamic interplay among these immune cells&#x2014;from the initial neutrophil infiltration to the subsequent activation of macrophages, dendritic cells, and lymphocyte subsets&#x2014;critically shapes the inflammatory landscape and repair processes following AMI. Within the first 30&#x2005;min to 3&#x2005;h after AMI, monocytes and neutrophils migrate into the infarct zone under the influence of DAMPs and chemokines (<xref ref-type="bibr" rid="B32">32</xref>). Infiltrating monocytes differentiate into macrophages, progressively replacing resident cardiac macrophages (<xref ref-type="bibr" rid="B33">33</xref>). However, activation of granulocytes, monocytes, and macrophages&#x2014;along with the release of pro-inflammatory cytokines, bioactive substances, and neutrophil extracellular traps (NETs)&#x2014;can also induce additional myocardial damage (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Immune cells in the cardiovascular system. Following acute myocardial infarction (AMI), pro-inflammatory cytokines induce neutrophil infiltration. Neutrophils exacerbate and sustain the inflammatory response by releasing reactive oxygen species (ROS) via neutrophil NETosis and secreting inflammatory cytokines. Monocytes are recruited into cardiac tissue and differentiate into M1 and M2 macrophages. M1 macrophages promote vascular inflammation through the release of damage-associated molecular patterns (DAMPs), while M2 macrophages facilitate repair of damaged tissue via the production of factors such as vascular endothelial growth factor (VEGF). Dendritic cells (DCs) induce myocardial hypertrophy and improve ventricular remodeling by mediating increased regulatory T cell (Treg) activity. Natural killer T (NKT) cells secrete cytokines (e.g., &#x002A;IL-10&#x002A;), contributing to the attenuation of inflammation and modulation of ventricular remodeling. Among T cells, Th1 cells reduce fibrotic responses, whereas Th2 and Th17 cells promote fibrosis. Th17 cells additionally drive inflammation and extracellular matrix remodeling, while Treg cells attenuate inflammatory responses.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1657300-g001.tif"><alt-text content-type="machine-generated">Diagram illustrating immune cell interactions in myocardial remodeling. Neutrophils release NETs and ROS, leading to inflammation. Macrophages differentiate into M1 and M2, producing DAMPs and VEGF, involved in blood vessel inflammation and angiogenesis. Dendritic cells and Tregs, along with NKT cells releasing IL-10, contribute to myocardial remodeling. T cells differentiate into Treg, Th17, Th2, and Th1 subsets, releasing cytokines like IL-4, IL-5, IL-9, IL-10, IL-17, IL-22, TGF-&#x03B2;, and TNF-&#x03B1;, influencing matrix remodeling and fibrosis.</alt-text>
</graphic>
</fig>
<p>In the resolution phase, NETs released by neutrophils activate the NLRP3 inflammasome in macrophages (<xref ref-type="bibr" rid="B7">7</xref>). As pro-inflammatory processes subside, macrophages shift toward an anti-inflammatory, pro-resolving M2 phenotype, a transition in which neutrophils play an important role (<xref ref-type="bibr" rid="B35">35</xref>). Macrophage function then changes from phagocytosis and extracellular matrix degradation to angiogenesis and granulation tissue formation (<xref ref-type="bibr" rid="B36">36</xref>), which may help limit adverse outcomes after AMI (<xref ref-type="bibr" rid="B37">37</xref>). Accordingly, a prolonged inflammatory phase can exacerbate myocardial injury, leading to infarct expansion and adverse remodeling (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Dendritic cells (DCs), as efficient antigen-presenting cells, help bridge innate and adaptive immunity. Tolerogenic dendritic cells (tDCs), a specific DC subtype, promote systemic activation of regulatory T cells (Tregs) after AMI (<xref ref-type="bibr" rid="B39">39</xref>). Activated Tregs participate in modulating myocardial inflammation and facilitate the shift of macrophages from the M1 to the M2 phenotype, thereby supporting favorable ventricular remodeling. Depletion of Tregs impairs resolution-phase functions, resulting in persistent M1 macrophage activity and delayed tissue repair (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>The adaptive immune system, involving T and B lymphocytes, also contributes to the regulation of post-AMI inflammation. Intramyocardial T-cell recruitment peaks 5&#x2013;7 days after AMI (<xref ref-type="bibr" rid="B41">41</xref>). CD8&#x002B; T cells may exacerbate inflammation by promoting cardiomyocyte apoptosis and activating inflammatory macrophages, though they also appear to influence fibrosis and remodeling (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Among CD4&#x002B; T cells, Th1 and Treg subsets are predominant: Th1 cells help maintain a balance between inflammation and repair via secretion of interferon-&#x03B3; (IFN-&#x03B3;), interleukin-6 (IL-6), and tumor necrosis factor (TNF) (<xref ref-type="bibr" rid="B44">44</xref>), while Tregs exert protective effects by suppressing cardiomyocyte apoptosis and excessive fibrosis (<xref ref-type="bibr" rid="B45">45</xref>). Notably, a systemic imbalance between T helper 17 (Th17) and Tregs may exacerbate the inflammatory responses (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<sec id="s2a"><label>2.1</label><title>Role of neutrophils in inflammation-injury and repair</title>
<p>Neutrophils are the first innate immune cells to infiltrate ischemic tissue within hours following AMI. The dual role of neutrophils, encompassing both detrimental effects (e.g., ROS release, NETosis) and beneficial contributions, is schematically illustrated in <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>. Shortly after AMI onset (within hours), neutrophils rapidly transmigrate across the endothelium via interactions between surface integrins and endothelial adhesion molecules. Their infiltration into the ischemic myocardium is orchestrated by DAMPs and alarmins (<xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). This recruitment is driven by a dual signaling mechanism: necrotic cardiomyocyte-derived DAMPs are sensed by PRRs on resident macrophages and endothelial cells, which in turn release chemokines that establish a gradient guiding neutrophils to the infarct zone (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B50">50</xref>). Although neutrophils contribute to clearing necrotic debris, they also induce secondary myocardial injury through the release of reactive oxygen species (ROS), proteolytic enzymes, and inflammatory mediators, reflecting their dual role (<xref ref-type="bibr" rid="B51">51</xref>).</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Detrimental and beneficial roles of neutrophils in myocardial infarction (MI) wound healing. Neutrophils are known to exacerbate myocardial injury by releasing reactive oxygen species (ROS), granular components, and pro-inflammatory mediators. Furthermore, neutrophils can form neutrophil extracellular traps (NETs), thereby promoting thrombosis and cardiac damage. Additionally, neutrophils enhance granulopoiesis, establishing a positive feedback loop that amplifies neutrophil production and acute inflammation. Conversely, neutrophils contribute to inflammation resolution, angiogenesis, and scar formation by producing various pro-repair factors, such as Annexin A1 (AnxA1).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1657300-g002.tif"><alt-text content-type="machine-generated">Diagram illustrating the interactions of neutrophils, with pathways involving NADPH, ROS, MPO, MMP, and annexin A1. It shows cytokines like TNF-alpha, IL-1beta, and CXCL factors influencing processes such as NETs formation, thrombosis, and granulopoiesis. It includes N1 and N2 polarization, indicating M1 and M2 macrophage responses with cytokines like IL-1beta, TNF-alpha, TGF-beta, and IL-10.</alt-text>
</graphic>
</fig>
<p>At the molecular level, neutrophil-derived ROS generated via NADPH oxidase pathways contribute to structural damage by oxidizing cellular components such as proteins and lipids (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>), and further amplify local inflammation by promoting pro-inflammatory cytokine secretion (e.g., IL-6, IL-1&#x03B2;) (<xref ref-type="bibr" rid="B54">54</xref>). Concurrently, degranulation products-including myeloperoxidase (MPO), elastase, and matrix metalloproteinases (MMPs)-aggravate cardiac remodeling by inducing cardiomyocyte apoptosis, degrading extracellular matrix (ECM), and triggering the release of additional cytokines and chemokines (e.g., TNF-&#x03B1;, IL-1&#x03B2;, CXCL-1-8) (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B55">55</xref>). These factors may also impair cardiomyocyte contractility through disruption of calcium homeostasis (<xref ref-type="bibr" rid="B56">56</xref>), collectively sustaining acute phase injury (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Activated neutrophils release NETs, composed of decondensed chromatin and granular proteins, which contribute to AMI pathophysiology through multiple pathways: (1) Promoting microvascular thrombosis (<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>); (2) Activates the Toll-like receptor 4 (TLR4)/NLRP3/IL-1&#x03B2; signaling axis to stimulate hematopoietic stem/progenitor cells, leading to increased neutrophil production (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B59">59</xref>); and (3) mediating further neutrophil recruitment via IL-1R, forming a self-amplifying inflammatory circuit that exacerbates myocardial edema and fibrosis (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>).</p>
<p>As the pathology evolves (days 1&#x2013;7 post-AMI), neutrophils undergo phenotypic switching (N1 to N2), which is implicated in repair regulation. In the acute phase (days 1&#x2013;3), N1 neutrophils promote M1 macrophage polarization via IL-1&#x03B2; and TNF-&#x03B1; secretion. During the repair phase (days 4&#x2013;7), N2 neutrophils support M2 macrophage polarization through upregulation of CD206, TGF-&#x03B2;, and IL-10 (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B63">63</xref>). This transition involves Annexin A1, which, upon activation, interacts with formyl peptide receptors (FPRs) to suppress excessive inflammation and promote a pro-angiogenic macrophage phenotype, thereby facilitating tissue repair (<xref ref-type="bibr" rid="B64">64</xref>&#x2013;<xref ref-type="bibr" rid="B67">67</xref>). Annexin A1 additionally modulates neutrophil activity through anti-inflammatory, pro-apoptotic, and pro-resolving mechanisms (<xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>Notably, S100A8/A9&#x2014;primarily released from NETs&#x2014;further modulates inflammatory and reparative processes post-MI. It activates the TLR4/NLRP3/IL-1&#x03B2; signaling axis, stimulating hematopoietic stem/progenitor cells to amplify neutrophil production (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B59">59</xref>). Moreover, S100A9 exerts a unique time-dependent bidirectional regulatory effect: short-term inhibition (within 3 days) attenuates inflammation and improves outcomes (<xref ref-type="bibr" rid="B70">70</xref>), whereas long-term blockade (up to 21 days) impairs the generation and efferocytic function of Ly6CloMerTKhi macrophages via the Nur77 signaling pathway, ultimately worsening cardiac injury (<xref ref-type="bibr" rid="B71">71</xref>). This temporal specificity aligns with pathological findings from neutrophil depletion experiments (<xref ref-type="bibr" rid="B72">72</xref>), highlighting the need for spatiotemporally precise therapeutic strategies that target neutrophil-mediated responses&#x2014;such as suppressing excessive acute-phase activation while promoting phenotypic switching during repair&#x2014;to balance injury containment and tissue regeneration. Thus, targeting S100A8/A9 represents a promising therapeutic approach under active investigation.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Role of monocytes/macrophages in inflammation-injury and repair</title>
<p>The monocyte-macrophage system, part of the myeloid lineage, exhibits spatiotemporal dynamics in composition and function. Monocytes originate from bone marrow and extramedullary hematopoietic sites (e.g., spleen). After maturation, they enter the bloodstream and migrate to peripheral tissues, where they differentiate into macrophages or dendritic cells and participate in immune defense, inflammation regulation, and tissue repair (<xref ref-type="bibr" rid="B73">73</xref>). In ischemic heart disease, macrophages play a dual role: they can exacerbate injury through pro-inflammatory responses while also promoting repair via anti-inflammatory mechanisms (<xref ref-type="bibr" rid="B74">74</xref>&#x2013;<xref ref-type="bibr" rid="B76">76</xref>), as illustrated in <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref> (<xref ref-type="bibr" rid="B74">74</xref>&#x2013;<xref ref-type="bibr" rid="B76">76</xref>).</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Monocyte differentiation following AMI. Bone marrow-derived monocytes are recruited to the damaged myocardial tissue and subsequently differentiate into M1 and M2 macrophages. M1 macrophages express markers such as TLR-2, TLR-4, CD80, and CD86, and produce pro-inflammatory cytokines including IL-1&#x03B2;, TNF-&#x03B1;, and CCL5. M2 macrophages express markers such as CD163, CD206, and CD209, and produce anti-inflammatory cytokines including IL-10, TGF-&#x03B2;, and VEGF, which induce tissue repair.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1657300-g003.tif"><alt-text content-type="machine-generated">Illustration of macrophage differentiation following myocardial infarction. Monocytes differentiate into macrophages, which become M1 or M2 types. M1 macrophages, characterized by markers like CD80 and CD86, release pro-inflammatory cytokines, contributing to tissue damage. M2 macrophages, marked by CD163 and CD206, release anti-inflammatory cytokines, aiding in tissue repair and wound healing.</alt-text>
</graphic>
</fig>
<p>Following AMI, the population of cardiac-resident macrophages declines sharply, while circulating monocytes are extensively recruited to the infarct zone (<xref ref-type="bibr" rid="B77">77</xref>). These recruited monocytes originate not only from the spleen but also from extramedullary sources under the regulation of IL-1&#x03B2; (<xref ref-type="bibr" rid="B78">78</xref>). Within 24&#x2005;h post-AMI, classical monocytes preferentially infiltrate the infarct area. Driven by cytokines such as TNF-&#x03B1; and IFN-&#x03B3; released from injured cardiomyocytes and immune cells, they polarize predominantly toward the classically activated (M1) phenotype in the early phase (<xref ref-type="bibr" rid="B78">78</xref>&#x2013;<xref ref-type="bibr" rid="B80">80</xref>). M1 macrophages highly express pro-inflammatory cytokines (e.g., TNF-&#x03B1;, IL-6), cytotoxic mediators (e.g., NO, ROS), and phagocytosis-associated proteins (<xref ref-type="bibr" rid="B81">81</xref>). Although they help clear necrotic debris and degrade extracellular matrix, excessive M1 activation may exacerbate the inflammatory microenvironment. In addition, pro-inflammatory exosomes (e.g., containing miR-155) released by M1 macrophages can inhibit angiogenesis, contributing to secondary myocardial injury (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B82">82</xref>). Upregulation of interleukin-1 receptor-associated kinase-M (IRAK-M) in the infarct microenvironment has been shown to suppress M1 macrophage overactivation, thereby attenuating adverse cardiac remodeling (<xref ref-type="bibr" rid="B81">81</xref>).</p>
<p>As the pathology progresses (approximately days 3&#x2013;7), a phenotypic shift occurs from pro-inflammatory M1 to anti-inflammatory M2 macrophages, which begin to dominate and help protect the heart from adverse outcomes (<xref ref-type="bibr" rid="B83">83</xref>). M2 macrophages secrete mediators such as IL-10, CCL17, VEGF, and TGF-&#x03B2;, which stimulate fibroblast activation, extracellular matrix synthesis, and angiogenesis, thereby promoting tissue repair (<xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>). This polarization process is influenced by several mechanisms, including efferocytosis, cell-cell contact signals, anti-inflammatory factors released by neutrophils (e.g., NGAL) (<xref ref-type="bibr" rid="B80">80</xref>), and extracellular vesicles carrying anti-inflammatory miRNAs. M2 macrophages specifically express the Mer tyrosine kinase (MerTK) receptor, which enables efficient clearance of necrotic cardiomyocytes through recognition of phosphatidylserine on apoptotic cells. Loss of MerTK disrupts phagocytic function and impedes repair (<xref ref-type="bibr" rid="B86">86</xref>). Importantly, the balance between M1 and M2 macrophages is essential for myocardial healing-persistent M1 activation can prolong inflammation, while impaired M2 function may suppress fibrosis resolution and angiogenesis, ultimately worsening cardiac function (<xref ref-type="bibr" rid="B87">87</xref>).</p>
<p>Macrophage origin, abundance, and phenotypic heterogeneity further influence the course of post-AMI injury and repair (<xref ref-type="bibr" rid="B83">83</xref>). Based on CCR2 expression, cardiac macrophages are classified into two main subsets: CCR2&#x002B; macrophages, which are derived from circulating monocytes and recruited to the infarct via the MyD88-dependent pathway. They exhibit M1-like characteristics, express pro-inflammatory cytokines such as CCL2, drive sustained monocyte infiltration, and promote adverse remodeling (<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B89">89</xref>). In contrast, CCR2&#x2212;macrophages are primarily cardiac-resident cells of embryonic origin, maintained by self-proliferation. They help suppress monocyte recruitment (<xref ref-type="bibr" rid="B90">90</xref>), support coronary development, and facilitate cardiac regeneration (<xref ref-type="bibr" rid="B91">91</xref>).</p>
<p>Different macrophage subpopulations cooperate during cardiac injury and repair. Recent studies reveal that small extracellular vesicles derived from M2 macrophages can reduce CCR2<sup>&#x002B;</sup> macrophage abundance, limit monocyte recruitment to the infarct, and promote M1-to-M2 phenotypic conversion, thereby enhancing angiogenesis and improving myocardial repair (<xref ref-type="bibr" rid="B81">81</xref>). These findings suggest that targeting of macrophage function and phenotypic switching may hold potential for reducing adverse remodeling and supporting cardiac repair after AMI (<xref ref-type="bibr" rid="B92">92</xref>).</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Role of lymphocytes and dendritic cells in inflammation-injury and repair</title>
<p>T cells play a dual role in the post-AMI inflammatory response, involving a dynamic balance between pro- and anti-inflammatory mechanisms. During ischemia-reperfusion injury, CD4<sup>&#x002B;</sup> T cells-particularly the Th1 subset-can influence infarct size by releasing IFN-&#x03B3; and IL-17, cytokines associated with cardiomyocyte death and fibroblast proliferation (<xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B94">94</xref>). CD8<sup>&#x002B;</sup> T cells show a more complex role: although impaired CD8<sup>&#x002B;</sup> T cell function has been linked to better initial cardiac recovery, their absence delays necrotic tissue clearance, impairing scar formation and increasing the risk of cardiac rupture (<xref ref-type="bibr" rid="B95">95</xref>).</p>
<p>Regulatory T cells (Tregs) generally support cardiac repair (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B96">96</xref>). They help modulate the post-AMI immune environment by suppressing CD8<sup>&#x002B;</sup> T cell activity (<xref ref-type="bibr" rid="B97">97</xref>) and influencing monocyte/macrophage differentiation (<xref ref-type="bibr" rid="B96">96</xref>). Studies in animal models indicate that increasing Treg numbers through exogenous administration improves cardiomyocyte survival, cardiac function, and repair outcomes, partly by reducing pro-inflammatory monocytes/macrophages and encouraging a reparative macrophage phenotype (<xref ref-type="bibr" rid="B98">98</xref>).</p>
<p>Dendritic cells (DCs), as key antigen-presenting cells, also contribute to immune regulation and repair after AMI. Tolerogenic DCs (tDCs), a specific subset, help activate Tregs and modulate macrophage polarization. In DC-depleted mice, post-infarction ventricular remodeling is more severe, with increased inflammatory monocytes, macrophages, and cytokines, as well as higher rupture risk, supporting a protective role for DCs (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B100">100</xref>). By promoting Treg activation, tDCs facilitate a shift from M1 to M2 macrophages, thereby improving cardiacfunction (<xref ref-type="bibr" rid="B101">101</xref>). In mouse models, tDC administration after AMI reduces infarct size, improves systolic function, and enhances survival. Imaging and molecular analyses show that tDC treatment promotes Treg infiltration, elevates anti-inflammatory cytokines (e.g., IL-4, IL-10) and VEGF, and accelerates the M1-to-M2 transition, contributing to reduced inflammation and better tissue repair (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B103">103</xref>). Overall, tDCs help attenuate inflammation, support tissue repair, and improve cardiac outcomes after AMI through Treg activation, macrophage polarization, and stimulation of angiogenesis. These findings indicate that targeting DC subsets may offer therapeutic potential in myocardial infarction and heart failure.</p>
<p>B lymphocytes contribute to immune responses through antibody production, antigen presentation, and cytokine secretion. Certain B cell subsets expand in pericardial adipose tissue and accumulate in the infarcted heart after AMI, where they may exert anti-inflammatory effects via IL-10, potentially helping to resolve inflammation (<xref ref-type="bibr" rid="B104">104</xref>). In a clinical study of 14 MI patients, higher B cell levels after PCI correlated with improved LVEF. Mouse studies further showed that empagliflozin enhanced cardiac repair by restoring na&#x00EF;ve B cell number and function, and infusion of B cells improved cardiac function and reduced infarct size, supporting a protective role (<xref ref-type="bibr" rid="B105">105</xref>). However, the exact mechanisms by which B cells regulate post-AMI immunity require further investigation.</p>
</sec>
</sec>
<sec id="s3"><label>3</label><title>Therapeutic advantages of nanoparticle-based drug delivery in AMI</title>
<p>A central challenge in current cardiovascular disease therapy is the targeted delivery of therapeutics to specific pathological sites&#x2014;such as areas of inflammation, thrombosis, or abnormal cell proliferation&#x2014;while minimizing effects on healthy tissues.</p>
<p>In recent years, nanoscale materials, particularly NPs, with dimensions on the nanometer scale, have become important tools in modern medicine. Among these, the types most commonly used in the field of cardiovascular medicine are shown in <xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>. Their applications range from targeted gene delivery to contrast enhancement in medical imaging (<xref ref-type="bibr" rid="B106">106</xref>, <xref ref-type="bibr" rid="B107">107</xref>). NPs utilize their distinct size, tunable physicochemical properties, and chemical composition to facilitate transport through tissues and the bloodstream for drug delivery. They also exhibit increased chemical reactivity, energy absorption, and biodistribution capabilities (<xref ref-type="bibr" rid="B108">108</xref>). This rapidly evolving field provides new therapeutic opportunities for a variety of diseases (<xref ref-type="bibr" rid="B109">109</xref>) (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>).</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Diverse nanoparticles (NPs) employed for treating cardiovascular diseases. NPs, including Organic Nanomaterials (e.g., Micelles, Liposomes, Polymers, Dendrimers), Inorganic Nanoparticles (e.g., Iron/Silica, Gold, Mesoporous Silica, Carbohydrate-based NPs), and Biomimetic Nanomaterials (e.g., Exosomes, Protein/peptide-based NPs, Antibody-conjugated NPs, Cell Membrane-coated NPs), are widely employed in the treatment of myocardial ischemic diseases.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1657300-g004.tif"><alt-text content-type="machine-generated">Diagram titled \"Popular types of Nanoparticles in Cardiovascular Research\" categorizes nanoparticles into three types: Organic Nanomaterials (Micelles, Liposome, Polymer, Dendrimer), Inorganic Nanoparticles (Iron/Silica, Gold, Mesoporous Silica, Carbohydrate), and Biomimetic Nanomaterials (Exosomes, Protein/peptide, Antibody, Cell Membrane-coated). Each category features illustrative icons for the corresponding nanoparticles.</alt-text>
</graphic>
</fig>
<p>The medical utility of NPs is mainly reflected in three areas: extending the drug half-life and reducing systemic toxicity to optimize the therapeutic window; enhancing targeting specificity by modifying physicochemical properties such as surface charge to limit off-target effects; and improving drug accumulation at disease sites through combined active and passive targeting strategies (<xref ref-type="bibr" rid="B110">110</xref>). In the treatment of coronary heart disease, delivery systems based on biodegradable organic carriers&#x2014;such as liposomes, micelles, and polymeric NPs, often functionalized with targeting ligands (e.g., antibodies, peptides) or functional polymers&#x2014;have shown improved therapeutic efficacy (<xref ref-type="bibr" rid="B111">111</xref>&#x2013;<xref ref-type="bibr" rid="B113">113</xref>).</p>
<p>NPs facilitate drug delivery through several advantageous mechanisms: sustaining drug release to prolong <italic>in vivo</italic> residence time; providing controlled release kinetics that help reduce side effects such as abnormal vascular growth or vascular leakage; and enabling precise delivery to specific sites such as ischemic regions, thereby improving treatment outcomes (<xref ref-type="bibr" rid="B114">114</xref>). This targeting ability partly arises from the capacity of NPs to exploit pathological microenvironment features&#x2014;such as ischemia-induced vascular permeability&#x2014;for enhanced accumulation in target tissues like the ischemic myocardium (<xref ref-type="bibr" rid="B115">115</xref>). Moreover, the inherent stimulus-responsiveness of NPs (to temperature, pH, or external stimuli such as ultrasound) allows spatiotemporally controlled drug release (<xref ref-type="bibr" rid="B116">116</xref>, <xref ref-type="bibr" rid="B117">117</xref>).</p>
<sec id="s3a"><label>3.1</label><title>Advanced NP-NDDSs for myocardial infarction therapy</title>
<p>A variety of nanoparticle (NP) classes, including organic systems such as liposomes, micelles, dendrimers, and polymeric NPs, as well as inorganic carriers like gold and silica NPs, provide various approaches for targeted drug and gene delivery to the heart. To visually organize the diverse array of NPs discussed in this section, <xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref> provides a schematic overview of the major NP classes (organic, inorganic, biomimetic) and their immunomodulatory mechanisms targeting different immune cells in MI. Emerging biomimetic nanoplatforms are further expanding possibilities in this area.</p>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Mechanisms of nanomaterial-mediated immunomodulation for myocardial infarction intervention. This figure illustrates the targeting of distinct pathways in neutrophils, macrophages, and lymphocytes for treating myocardial infarction.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1657300-g005.tif"><alt-text content-type="machine-generated">Flowchart depicting interactions between various nanoparticles and immune cells. Iron, Cu&#x02093;O nanoparticles, and neutrophil membrane-camouflaged nanoparticles influence neutrophils, affecting responses such as IL-1&#x03B2; and IL-5. Mesoporous silica targets neutrophils with VCAM-1 siRNA. Micelles, liposomes, polymers, and extracellular vesicles target macrophages, influencing CCR2/CCL2, phosphatidylserine, Ly-6C, NF-kB, and T&#x03B2;&#x02084;, HIF-1&#x03B1;. CsA@PPTK affects lymphocytes and ROS mPTP. Neutrophils, macrophages, and lymphocytes are central to these interactions.</alt-text>
</graphic>
</fig>
<p>Organic NPs, which include liposomes, micelles, and dendrimers, generally exhibit tunable biocompatibility, reduced toxicity, and improved drug delivery efficiency through adjustment of their chemical and structural properties (<xref ref-type="bibr" rid="B118">118</xref>). Their nanoscale size (1&#x2013;100&#x2005;nm) allows size-dependent effects and customizable surface chemistry, enabling advances in gene delivery, medical imaging, and targeted drug transport (<xref ref-type="bibr" rid="B106">106</xref>, <xref ref-type="bibr" rid="B119">119</xref>).</p>
<p>Research on organic NP-based drug delivery systems has largely centered on liposomes, micelles, polymeric NPs, and dendrimers (<xref ref-type="bibr" rid="B113">113</xref>). Micelles are colloidal particles formed by the self-assembly of amphiphilic molecules, with a hydrophobic core that encapsulates poorly soluble drugs and a hydrophilic shell that improves solubility. Their small size (typically under 80&#x2005;nm) promotes better penetration into ischemic myocardial tissue compared to larger NPs (<xref ref-type="bibr" rid="B120">120</xref>). By incorporating targeting groups such as antibodies or ROS-sensitive peptides, micelles can be engineered to recognize specific components in atherosclerotic plaques, improving targeting accuracy (<xref ref-type="bibr" rid="B121">121</xref>). Preclinical studies suggest that targeted micelles carrying anti-inflammatory or anti-angiogenic drugs can extend circulation half-life, lower pro-inflammatory cytokine levels, and reduce plaque area (<xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B122">122</xref>).</p>
<p>Polymers are widely used as NP materials due to their low toxicity and versatility for chemical modification (<xref ref-type="bibr" rid="B123">123</xref>). Both natural polymers (e.g., starch, cellulose) and synthetic ones such as PLA, PGA, and PLGA have been utilized (<xref ref-type="bibr" rid="B124">124</xref>). PLGA, in particular, is known for its controllable degradation and is often used for sustained drug release. For example, PLGA NPs prepared by emulsion solvent diffusion have been used to deliver glutathione or heparin to the heart within 2&#x2005;h in models of myocardial ischemia-reperfusion injury (MIRI) (<xref ref-type="bibr" rid="B125">125</xref>, <xref ref-type="bibr" rid="B126">126</xref>).</p>
<p>Dendrimers are highly branched, well-defined macromolecules whose size can be controlled by the number of synthetic generations. Their multifunctional surfaces allow efficient loading of drugs, imaging agents, and targeting molecules such as folic acid or antibodies (<xref ref-type="bibr" rid="B127">127</xref>). With optimized conjugation methods, dendrimers represent potentially useful platforms for cardiovascular disease diagnosis and targeted treatment (<xref ref-type="bibr" rid="B128">128</xref>).</p>
<p>Liposomes are self-assembled phospholipid bilayer vesicles that mimic cell membranes and can carry both hydrophilic and hydrophobic drugs. They are especially useful for co-delivering genes and drugs, and they offer prospects for scalable production (<xref ref-type="bibr" rid="B129">129</xref>). However, issues such as drug leakage and particle aggregation may affect release kinetics, indicating a need for further formulation improvement (<xref ref-type="bibr" rid="B130">130</xref>).</p>
<p>Inorganic nanocarriers, including silica-, carbon-, and metal-based NPs (e.g., AuNPs), often show high physicochemical stability and strong drug-loading capacity, supporting precise delivery (<xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B132">132</xref>). Gold NPs (AuNPs) are easily synthesized, exhibit low toxicity and minimal immunogenicity, and have been used to deliver cardioprotective drugs such as Simdax. In heart failure models, AuNP-conjugated Simdax showed better efficacy than the free drug, likely due to improved tissue targeting (<xref ref-type="bibr" rid="B133">133</xref>). Silica NPs provide high surface area and a mesoporous structure that can be functionalized for efficient drug or gene delivery, as seen in adenosine delivery to MIRI-affected heart tissue (<xref ref-type="bibr" rid="B134">134</xref>). However, the relatively low biodegradability of inorganic NPs compared to organic ones has raised concerns about long-term accumulation and potential toxicity. Complicated surface modification processes also present challenges, highlighting the importance of developing controlled degradation and functionalization methods to improve biosafety and efficacy (<xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B135">135</xref>).</p>
<p>Although traditional nanocarriers are widely used, emerging biomimetic nano-delivery systems combine nanotechnology with biomimetic principles to provide alternative strategies for treating AMI and MIRI (<xref ref-type="bibr" rid="B136">136</xref>&#x2013;<xref ref-type="bibr" rid="B138">138</xref>). These systems employ nanoscale carriers (1&#x2013;1,000&#x2005;nm) designed to imitate biological structures. Examples include cell membrane-coated nanoparticles, nano-sized extracellular vesicles such as exosomes, and nanozymes&#x2014;nanomaterials that mimic the catalytic activity of natural enzymes.</p>
<p>Biomimetic systems allow efficient encapsulation and targeted delivery of therapeutics while leveraging natural biological mechanisms to avoid immune clearance, extend circulation time, and increase accumulation in ischemic heart tissue (<xref ref-type="bibr" rid="B139">139</xref>, <xref ref-type="bibr" rid="B140">140</xref>) For instance, nanoparticles coated with autologous cell membranes or exosome-like vesicles inherit the targeting ability and biocompatibility of the source cells, functioning similarly to liposomes but with enhanced bio-specificity (<xref ref-type="bibr" rid="B141">141</xref>). Biomimetic nanozymes can reduce oxidative stress by scavenging excess ROS (<xref ref-type="bibr" rid="B142">142</xref>, <xref ref-type="bibr" rid="B143">143</xref>). In comparison with conventional nanocarriers, biomimetic systems often improve the solubility and stability of poorly soluble drugs and allow stimuli-responsive release in response to microenvironmental signals such as pH changes or enzyme activity in ischemic regions. This can help minimize off-target effects and related side effects (<xref ref-type="bibr" rid="B144">144</xref>&#x2013;<xref ref-type="bibr" rid="B146">146</xref>). One example is a neutrophil membrane-camouflaged delivery system loaded with siRNA. Modified with integrins to improve targeting and hemagglutinin to promote endosomal escape, this system enhanced siRNA delivery in MIRI models, reduced neutrophil infiltration and microthrombus formation, limited infarct size, and improved cardiac function (<xref ref-type="bibr" rid="B147">147</xref>).</p>
</sec>
<sec id="s3b"><label>3.2</label><title>Neutrophil-targeting nanoparticle-based drug delivery systems</title>
<p>Emerging evidence indicates that the initial response to myocardial tissue damage triggers intense neutrophil-dominated inflammation, exacerbating injury and potentiating ventricular remodeling. Recent advances leverage nanomedicine to precisely modulate neutrophil functions, offering cardioprotective effects through extended drug efficacy and enhanced targeting.</p>
<sec id="s3b1"><label>3.2.1</label><title>Therapeutic targeting of S100a8/A9 in neutrophil-driven inflammation</title>
<p>As primary early responders in inflammation, neutrophils secrete the alarmin S100A8/A9, which promotes the infiltration of innate immune cells such as macrophages and drives their polarization toward the pro-inflammatory M1 phenotype. Therefore, inhibiting the S100A8/A9 signaling axis has emerged as a common therapeutic strategy. Beyond multi-enzyme-mimetic nanocatalysts, multifunctional nanocomplexes have been developed to produce synergistic effects. For example, dual-function nanocomplexes combining CuxO nanoparticles&#x2014;which quench ROS through multi-enzyme mimicry&#x2014;and the S100A8/A9 inhibitor ABR-25757 can synergistically block the S100A8/A9-NLRP3-IL-1&#x03B2; pathway, contributing to a reduction in infarct size (<xref ref-type="bibr" rid="B148">148</xref>). Further advances include targeted pathway inhibition and gene silencing strategies. Based on the concept of S100A8/A9 pathway blockade, receptor-mediated siRNA delivery systems have been designed to disrupt neutrophil-driven inflammation with greater precision. One such system uses S100A9-siRNA nanoparticles coated with engineered macrophage membranes functionalized with RAGE (receptor for advanced glycation end products) and hemagglutinin (HA). These particles achieve dual targeting: RAGE facilitates binding to S100A9, which is highly expressed in the infarcted myocardium, while HA promotes endosomal escape for efficient cytosolic siRNA release. This approach leads to S100A9 gene silencing, inhibition of the S100A8/A9-TLR4 axis, and a subsequent decrease in neutrophil recruitment (<xref ref-type="bibr" rid="B20">20</xref>).</p>
</sec>
<sec id="s3b2"><label>3.2.2</label><title>Neutrophil membrane biomimetic nanocarriers for modulating the immune microenvironment</title>
<p>Neutrophil membrane-biomimetic nanocarriers, which leverage inherent long circulation and inflammatory homing capabilities, have shown promise as tools for regulating the immune microenvironment after AMI.
<list list-type="simple">
<list-item><label>(1)</label>
<p>Delivering Immunomodulatory Factors: In one study, neutrophil membrane-camouflaged NPs with a PLGA core were loaded with IL-5. After reaching inflammatory sites, these carriers reduced neutrophil infiltration while promoting eosinophil recruitment and M2 macrophage accumulation. They also enhanced angiogenesis through increased AKT and ERK1/2 phosphorylation, leading to improved ventricular remodeling (<xref ref-type="bibr" rid="B18">18</xref>).</p></list-item>
<list-item><label>(2)</label>
<p>Adsorbing Pro-inflammatory Mediators: Biomimetic platforms such as neutrophil membrane-cloaked liposomal NPs (Neu-LPs) can adsorb pro-inflammatory cytokines (TNF-&#x03B1;, IL-1&#x03B2;, IL-6) and CXCL-2 in the infarcted heart. This action dampens neutrophil infiltration and accelerates M2 macrophage polarization within 3 days post-AMI, which helps attenuate apoptosis and fibrosis (<xref ref-type="bibr" rid="B149">149</xref>).</p></list-item>
<list-item><label>(3)</label>
<p>Co-delivering Therapeutic Nucleic Acids: More advanced systems combine cytokine neutralization with regenerative therapy. For instance, silica NPs cloaked with neutrophil membranes and loaded with miR-10b (NM@miR) can deliver this microRNA to cardiomyocytes, where it suppresses the Hippo pathway to promote proliferation and regeneration (<xref ref-type="bibr" rid="B141">141</xref>).</p></list-item>
</list></p>
</sec>
<sec id="s3b3"><label>3.2.3</label><title>Synergistic delivery and multifunctional nanoplatforms</title>
<p>NPs can be designed to achieve multifunctional immunomodulation through synergistic delivery strategies.
<list list-type="simple">
<list-item><label>(1)</label>
<p>Drug-siRNA Synergistic Delivery: Mengying Hou et al. developed an endothelial cell-targeted, ROS-sensitive nanocomplex (NCs). Its core contains PLGA NPs loaded with the anti-inflammatory drug dexamethasone (DXM). The surface is electrostatically coated with cRGD-PEG-bis(diselenide)-crosslinked polyethylenimine (RPPT) complexed with VCAM-1 siRNA (siVCAM-1). In a MIRI model, cRGD mediates targeting to inflamed endothelium. Local high ROS levels trigger degradation of RPPT, leading to release of siVCAM-1 and silencing of VCAM-1 expression. This effect works together with DXM to inhibit neutrophil chemotaxis and adhesion, thereby alleviating myocardial inflammation and improving cardiac function. This design addresses challenges related to siRNA encapsulation, release, and efficiency-toxicity balance (<xref ref-type="bibr" rid="B150">150</xref>).</p></list-item>
<list-item><label>(2)</label>
<p>Membrane Camouflage with Functional Modification for siRNA Delivery: Yaohui Jiang et al. constructed an engineered neutrophil membrane-camouflaged nanodelivery system (MNM/siRNA NPs) modified with integrins and hyaluronic acid (HA) and loaded with siRNA targeting integrin &#x03B1;9. HA facilitates endosomal escape, while integrin &#x03B1;9/&#x03B2;1 enables targeting via binding to endothelial VCAM-1. In a MIRI model, silencing integrin &#x03B1;9 reduced neutrophil infiltration, NET formation, and microthrombosis, resulting in smaller infarct size and improved cardiac function (<xref ref-type="bibr" rid="B147">147</xref>).</p></list-item>
</list></p>
</sec>
<sec id="s3b4"><label>3.2.4</label><title>Mimicking natural biomolecules to regulate leukocyte function</title>
<p>Another strategy involves mimicking natural biomolecules to regulate leukocyte function. Researchers have developed NPs (n-apo AI) composed of human apolipoprotein AI (Apo AI) complexed with soybean phosphatidylcholine, which mimic the structure of high-density lipoprotein (HDL). When administered intravenously after reperfusion, n-apo AI targets neutrophils, reduces surface expression of the integrin CD11b, decreases leukocyte infiltration into the infarct zone, and promotes monocyte polarization toward the anti-inflammatory Ly6Clow phenotype. This supports inflammation resolution and tissue repair. Notably, this approach also showed potential in reducing circulating leukocyte activity in patients with type 2 diabetes, suggesting a possible new direction for managing inflammation after AMI (<xref ref-type="bibr" rid="B151">151</xref>) (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Neutrophil-targeting nanoparticle-based drug delivery systems.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Reference</th>
<th valign="top" align="center">Nanoparticle type</th>
<th valign="top" align="center">Targeting mechanism</th>
<th valign="top" align="center">Efficacy endpoints</th>
<th valign="top" align="center">Therapeutic agent</th>
<th valign="top" align="center">Administration route</th>
<th valign="top" align="center">Administration time</th>
<th valign="top" align="center">Year</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B148">148</xref>)</td>
<td valign="top" align="left">CuxO NPs</td>
<td valign="top" align="left">Clears ROS and inhibits S100A8/A9; blocks S100A8/A9-NLRP3-IL-1&#x03B2; pathway</td>
<td valign="top" align="left">Reduced infarct size by 27&#x0025;, increased LVEF by 22&#x0025;</td>
<td valign="top" align="left">S100A8/A9 inhibitor (ABR-2575)</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">Immediately after AMI</td>
<td valign="top" align="center">2024</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Engineered Macrophage Membrane-Coated S100A9-siRNA NPs</td>
<td valign="top" align="left">Targets S100A9 via RAGE binding, silences S100A9 gene to inhibit TLR4 axis</td>
<td valign="top" align="left">Reduced infarct size by 29&#x0025;, increased LVEF by 30&#x0025;</td>
<td valign="top" align="left">S100A9-siRNA</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">1&#x2005;h after reperfusion</td>
<td valign="top" align="center">2024</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="left">Neutrophil Membrane-Camouflaged PLGA NPs (NM-NPIL-5)</td>
<td valign="top" align="left">Carries IL-5; reduces neutrophil influx, recruits eosinophils/M2 macrophages, enhances angiogenesis.</td>
<td valign="top" align="left">Reduced infarct size by 9&#x0025;, increased LVEF by 23&#x0025;</td>
<td valign="top" align="left">IL-5</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">20&#x2005;min after reperfusion</td>
<td valign="top" align="center">2023</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B149">149</xref>)</td>
<td valign="top" align="left">PLGA Nanocomplexes (ROS-sensitive)</td>
<td valign="top" align="left">Delivers siVCAM-1 via ROS-triggered release; silences VCAM-1 and blocks neutrophil adhesion.</td>
<td valign="top" align="left">Increased LVEF by 25.7&#x0025;, decreased neutrophil infiltration by 23&#x0025;</td>
<td valign="top" align="left">VCAM-1 siRNA&#x2009;&#x002B;&#x2009;Dexamethasone</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">10&#x2005;min after reperfusion</td>
<td valign="top" align="center">2022</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B141">141</xref>)</td>
<td valign="top" align="left">Neutrophil Membrane-Coated Silica NPs (NM@miR)</td>
<td valign="top" align="left">Delivers miR-10b to suppress Hippo pathway, promoting cardiomyocyte proliferation and regeneration.</td>
<td valign="top" align="left">Increased LVEF by 11&#x0025;</td>
<td valign="top" align="left">microRNA-10b</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">24&#x2005;h after reperfusion</td>
<td valign="top" align="center">2023</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B150">150</xref>)</td>
<td valign="top" align="left">Neutrophil Membrane-Cloaked Liposomal NPs (Neu-LPs)</td>
<td valign="top" align="left">Adsorbs pro-inflammatory cytokines; reduces neutrophil infiltration, accelerates M2 macrophage polarization.</td>
<td valign="top" align="left">Reduced infarct size by 37&#x0025;, increased LVEF by 22&#x0025;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">1 day after reperfusion</td>
<td valign="top" align="center">2022</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B147">147</xref>)</td>
<td valign="top" align="left">Integrin <italic>&#x03B1;</italic>9/&#x03B2;1-targeted siRNA NPs (HA-NM camouflaged)</td>
<td valign="top" align="left">Silences integrin <italic>&#x03B1;</italic>9 to suppress neutrophil infiltration and NETosis.</td>
<td valign="top" align="left">Reduced infarct size by 37&#x0025;, increased LVEF by 30&#x0025;</td>
<td valign="top" align="left">Integrin &#x03B1;9-targeted siRNA</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">Immediately after surgery, for 3 days</td>
<td valign="top" align="center">2025</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B151">151</xref>)</td>
<td valign="top" align="left">Apolipoprotein AI-based NPs (n-apo AI)</td>
<td valign="top" align="left">Mimics HDL; downregulates CD11b, reduces leukocyte infiltration, promotes anti-inflammatory monocyte polarization.</td>
<td valign="top" align="left">Elevated the Ly6C<sup>Low</sup>/Ly6C<sup>High</sup> ratio by approximately 75&#x0025;</td>
<td valign="top" align="left">n-apo AI (CSL111)</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">Immediately after reperfusion</td>
<td valign="top" align="center">2020</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3c"><label>3.3</label><title>Macrophage-targeting nanoparticle-based drug delivery systems</title>
<sec id="s3c1"><label>3.3.1</label><title>Targeting monocyte/macrophage recruitment and initial inflammation</title>
<p>Following AMI or MIRI, damaged cardiomyocytes release DAMPs. The recognition of DAMPs by TLR4 on innate immune cells initiates a robust inflammatory response, leading to the recruitment of neutrophils and monocytes/macrophages to the heart. To target this initial trigger, PLGA NPs delivering the TLR4 inhibitor TAK-242 were shown to suppress monocyte/macrophage TLR4/NF-&#x03BA;B signaling, which reduced the infiltration of Ly6Chigh monocytes and the release of pro-inflammatory cytokines such as IL-6 and CCL-2, thereby attenuating acute myocardial inflammation (<xref ref-type="bibr" rid="B152">152</xref>).</p>
<p>After AMI, monocytes are recruited to the infarct area mainly through CCR2 binding to its ligand CCL-2. In one approach, anti-CCR2 antibody-modified PEG-DSPE micelles (21&#x2013;35&#x2005;nm) were used to deliver a CCR2 antagonist specifically to monocytes. This intervention blocked CCR2/CCL-2 signaling, significantly reduced the migration of spleen-derived monocytes to the heart, and resulted in smaller infarct size and improved cardiac function (<xref ref-type="bibr" rid="B153">153</xref>).</p>
<p>The <italic>in vivo</italic> delivery efficiency of NPs is often limited by clearance from the mononuclear phagocyte system. Qiang Long et al. proposed an innovative strategy by targeting the spleen as a key organ for regulating myocardial inflammation. Their work showed that monocytes recruited during acute myocardial reperfusion injury originate from the spleen, and that early expression of Interferon Regulatory Factor 7 (IRF7) in the spleen influences cardiac macrophage function. By developing spleen-targeting biomimetic NPs (RP182-STEER) loaded with HS38, they inhibited early IRF7 expression specifically in the spleen. This approach blocked the egress of pro-inflammatory monocytes to the heart without interfering with IRF7 function during the repair phase, leading to improved acute and chronic outcomes (<xref ref-type="bibr" rid="B154">154</xref>).</p>
</sec>
<sec id="s3c2"><label>3.3.2</label><title>Modulating macrophage polarization state</title>
<p>The inflammatory outcome after injury is strongly influenced by macrophage phenotype. Promoting a shift from pro-inflammatory (M1) to a reparative (M2) state is considered important for resolution of inflammation and tissue repair. Peroxisome proliferator-activated receptor-&#x03B3; (PPAR&#x03B3;), a nuclear receptor, can inhibit NF-&#x03BA;B expression in macrophages and encourage transition to an M2 phenotype. In one study, PLGA NPs delivering the PPAR&#x03B3; agonist pioglitazone promoted M2 polarization, which was associated with reduced inflammation and fibrosis, and improved cardiac function after MIRI (<xref ref-type="bibr" rid="B146">146</xref>).</p>
<p>Macrophage polarization can also be influenced by directly targeting intracellular signaling pathways. For example, Laura Tesoro et al. developed lipid membrane NPs (NL10) functionalized with an IL-10 receptor-targeting peptide (IT9302) via PEGylated phospholipids. These NIL10 NPs promoted STAT3 activation and inhibited NF-&#x03BA;B nuclear translocation in macrophages, accelerating their shift toward an anti-inflammatory phenotype. This shift was accompanied by increased expression of anti-inflammatory cytokines including IL-4, IL-10, and IL-13, which ultimately contributed to reduced fibrosis and improved cardiac function (<xref ref-type="bibr" rid="B155">155</xref>).</p>
<p>Another innovative strategy involves clearing stress-induced senescent cells (SISCs) that arise after injury. Researchers used biodegradable PLGA NPs loaded with the senolytic drug ABT263 (ABT263-PLGA), administered via local injection. These NPs facilitated the clearance of SISCs through macrophage phagocytosis, which led to reduced levels of inflammatory mediators and fibrosis, promoted M2 polarization, and supported functional recovery, while avoiding systemic toxicity (<xref ref-type="bibr" rid="B156">156</xref>).</p>
</sec>
<sec id="s3c3"><label>3.3.3</label><title>Biomimetic nanocarriers for enhanced targeting and delivery</title>
<p>Biomimetic nanodrug delivery systems are considered promising for myocardial injury therapy due to their biocompatibility and targeting capabilities. For instance, platelet membrane-coated NPs (CsA@PPTK) have been used to deliver Cyclosporine A (CsA) to ischemic myocardium. This approach inhibited the mitochondrial permeability transition pore (mPTP), scavenged ROS, promoted M2 macrophage and Tregs, and provided long-term functional benefits through combined antioxidant, anti-inflammatory, and anti-apoptotic effects (<xref ref-type="bibr" rid="B157">157</xref>).</p>
<p>Apoptotic cell membranes also represent useful biomimetic materials. Lili Bao et al. developed neutrophil apoptotic body membrane-coated mesoporous silica NPs loaded with hexyl-5-aminolevulinate hydrochloride (HAL). By mimicking natural apoptosis, this system utilizes adhesion molecules on the apoptotic membrane to target inflammatory sites for specific uptake by macrophages. An esterase-responsive polymer cap then opens, releasing HAL to initiate the heme metabolism pathway and generate bilirubin, an anti-inflammatory metabolite. This process can enhance macrophage polarization toward an anti-inflammatory phenotype, supporting inflammation resolution and tissue regeneration (<xref ref-type="bibr" rid="B158">158</xref>). Extracellular vesicles (EVs) also serve as promising natural drug carriers. One example is monocyte membrane-modified extracellular vesicles (T&#x03B2;4-MmEVs), which leverage CCR2/CCL-2 targeting and CD47-mediated evasion of clearance to deliver thymosin &#x03B2;4 (T&#x03B2;4) and promote angiogenesis and repair (<xref ref-type="bibr" rid="B159">159</xref>).</p>
</sec>
<sec id="s3c4"><label>3.3.4</label><title>Synergistic strategies: targeting cellular injury, oxidative stress, and inflammation</title>
<p>In addition to modulating cellular migration, synergistic interventions that address early cellular injury (e.g., mitochondrial dysfunction) and inflammation have shown promise. PLGA NPs co-delivering the mPTP inhibitor CsA (targeting CypD) and the CCR2 antagonist pitavastatin were shown to attenuate mitochondrial damage&#x2014;thereby inhibiting NLRP3 inflammasome activation&#x2014;and reduce monocyte-driven inflammation, resulting in cardioprotective effects (<xref ref-type="bibr" rid="B160">160</xref>).</p>
<p>Excessive ROS production and subsequent oxidative stress play a key role in exacerbating MIRI. Advanced bimetallic nanozyme strategies, such as Cu-TCPP-Mn, incorporate manganese (Mn) and copper (Cu) within Tetrakis(4-carboxyphenyl)porphyrin (TCPP) ligands to form a metal-organic framework (MOF). This nanozyme mimics the cascade activity of superoxide dismutase (SOD) and catalase (CAT) to scavenge ROS. In MI and MIRI models, intravenously administered Cu-TCPP-Mn (20&#x2005;nm) accumulated in ischemic myocardium, suppressed IL-1&#x03B2; and TNF-&#x03B1; expression, reduced neutrophil and macrophage infiltration, and increased anti-inflammatory IL-10 levels (<xref ref-type="bibr" rid="B161">161</xref>). Similarly, a polyglucose-sorbitol carboxymethylether (PSC)-coated Prussian blue nanozyme (PBNz@PSC) exhibited biocompatibility and targeted damaged myocardium. PBNz@PSC scavenged ROS via SOD/CAT-like activity, promoted M2 macrophage polarization, modulated AMPK/NF-&#x03BA;B signaling, enhanced vasodilation, and improved cardiac function (<xref ref-type="bibr" rid="B142">142</xref>). In a combined antioxidant and gene therapy approach, cationic cerium dioxide (CeO<sub>2</sub>) NPs delivered an Nrf2 plasmid to macrophages. Using monocyte transport for infarct accumulation, this system activated the Nrf2/ARE antioxidant pathway and suppressed inflammation, leading to functional improvement and reduced damage (<xref ref-type="bibr" rid="B162">162</xref>).</p>
</sec>
<sec id="s3c5"><label>3.3.5</label><title>Nanocarrier delivery of herbal-derived monomers</title>
<p>Targeted delivery strategies continue to improve treatment precision. For example, CD11b antibody-modified mesoporous silica NPs (MSN-NGR1-CD11b) were used to deliver the traditional Chinese medicine monomer notoginsenoside R1 (NGR1) to CD11b<sup>&#x002B;</sup> leukocytes in the infarct zone. This method was associated with improved cardiac function, promoted angiogenesis, reduced apoptosis, and polarized macrophages toward the M2 phenotype (<xref ref-type="bibr" rid="B163">163</xref>). In another study, platelet membrane-coated PLGA NPs (BBR@PLGA@PLT NPs) delivered berberine (BBR) to the infarcted myocardium. The platelet membrane improved targeting specificity and reduced liver uptake. This system increased the number of reparative macrophages, decreased inflammatory macrophages and apoptotic cells, and improved cardiac function while reducing fibrosis and promoting angiogenesis, with reported good biosafety (<xref ref-type="bibr" rid="B164">164</xref>) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Macrophage-targeting nanoparticle-based drug delivery systems.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Reference</th>
<th valign="top" align="center">Nanoparticle type</th>
<th valign="top" align="center">Targeting mechanism</th>
<th valign="top" align="center">Efficacy endpoints</th>
<th valign="top" align="center">Therapeutic agent</th>
<th valign="top" align="center">Administration route</th>
<th valign="top" align="center">Administration time</th>
<th valign="top" align="center">Year</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B152">152</xref>)</td>
<td valign="top" align="left">Polymeric NPs</td>
<td valign="top" align="left">Inhibits recruitment of Ly-6Chigh monocytes to the heart; suppresses NF-<italic>&#x03BA;</italic>B activation.</td>
<td valign="top" align="left">Reduced infarct size by 21&#x0025;, increased LVEF by 11&#x0025;</td>
<td valign="top" align="left">TAK-242 (TLR4 inhibitor)</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">Immediately after reperfusion</td>
<td valign="top" align="center">2019</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B153">153</xref>)</td>
<td valign="top" align="left">Micelle-type NPs</td>
<td valign="top" align="left">Binds CCR2-expressing Ly-6Chigh monocytes post-AMI; blocks CCR2/CCL2 axis to inhibit monocyte recruitment and reduce inflammatory cell infiltration.</td>
<td valign="top" align="left">Reduced Ly-6C<sup>high</sup> monocytes by 7&#x0025;, reduced infarct size by 12.5&#x0025;, increased LVEF by 6.9&#x0025;</td>
<td valign="top" align="left">CCR2 antagonist</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">48&#x2005;h &#x0026; 72&#x2005;h after MI</td>
<td valign="top" align="center">2018</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B154">154</xref>)</td>
<td valign="top" align="left">Erythrocyte Membrane-Biomimetic NPs</td>
<td valign="top" align="left">Inhibits early IRF7 expression in spleen; blocks pro-inflammatory monocyte migration to the heart.</td>
<td valign="top" align="left">Reduced infarct size by 7.9&#x0025;, increased LVEF by 8.2&#x0025;</td>
<td valign="top" align="left">HS38 (DAPK1 inhibitor)</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">1&#x2005;h after reperfusion</td>
<td valign="top" align="center">2025</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B146">146</xref>)</td>
<td valign="top" align="left">Poly(lactic-co-glycolic acid) NPs</td>
<td valign="top" align="left">Inhibits Ly6Chigh monocyte recruitment; polarizes macrophages to reparative M2 phenotype to attenuate cardiac remodeling.</td>
<td valign="top" align="left">Reduced infarct size by 12&#x0025;, increased LVEF by 10&#x0025;</td>
<td valign="top" align="left">Pioglitazone (PPAR<italic>&#x03B3;</italic> agonist)</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">Immediately after reperfusion</td>
<td valign="top" align="center">2019</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B155">155</xref>)</td>
<td valign="top" align="left">Micelle-type NPs</td>
<td valign="top" align="left">Promotes STAT3 activation and inhibits NF-&#x0138;B nuclear translocation to accelerate macrophage polarization.</td>
<td valign="top" align="left">Reduced infarct size by 28.52&#x0025;, increased LVEF by 8&#x0025;</td>
<td valign="top" align="left">IT9302 peptide (IL-10 agonist)</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">24&#x2005;h after ischemia</td>
<td valign="top" align="center">2022</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B156">156</xref>)</td>
<td valign="top" align="left">PLGA NPs</td>
<td valign="top" align="left">Induces macrophage phagocytosis of senescent cells (SISCs); inhibits pro-inflammatory cytokine release; promotes M1&#x2192;M2 polarization to accelerate tissue repair.</td>
<td valign="top" align="left">Reduced infarct size by 27&#x0025;, increased LVEF by 30&#x0025;</td>
<td valign="top" align="left">ABT263 (Senolytic)</td>
<td valign="top" align="left">Intramyocardial</td>
<td valign="top" align="left">5&#x2005;min before reperfusion</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B157">157</xref>)</td>
<td valign="top" align="left">Tregs Biomimetic NPs (CsA@PPTK)</td>
<td valign="top" align="left">Scavenges ROS; inhibits mPTP over-opening; modulates macrophage phenotype (&#x2191;M2, &#x2193;M1) and promotes Treg generation.</td>
<td valign="top" align="left">Increased LVEF by 20&#x0025;</td>
<td valign="top" align="left">Cyclosporine A</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">5&#x2005;min before reperfusion</td>
<td valign="top" align="center">2022</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B158">158</xref>)</td>
<td valign="top" align="left">Apoptotic Body Membrane-Hybrid Nanocarrier</td>
<td valign="top" align="left">Targets inflammatory sites via apoptotic body membrane adhesion molecules; releases HAL to initiate heme metabolism, generating anti-inflammatory bilirubin to enhance M2 polarization.</td>
<td valign="top" align="left">Increased LVEF by 6&#x0025;</td>
<td valign="top" align="left">Hexyl-5-aminolevulinate</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">3 days after ischemia</td>
<td valign="top" align="center">2022</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B159">159</xref>)</td>
<td valign="top" align="left">Monocyte Membrane-Modified Extracellular Vesicles</td>
<td valign="top" align="left">Evades immune clearance; T&#x03B2;4 activates HIF-1&#x03B1; pathway to promote endothelial migration and angiogenesis.</td>
<td valign="top" align="left">Increased LVEF by 45&#x0025;, reduced infarct size by 11&#x0025;</td>
<td valign="top" align="left">Thymosin &#x03B2;4</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">3 consecutive days post-AMI induction</td>
<td valign="top" align="center">2023</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B160">160</xref>)</td>
<td valign="top" align="left">Polymeric NPs</td>
<td valign="top" align="left">Suppresses monocyte/macrophage recruitment to infarcted myocardium.</td>
<td valign="top" align="left">Reduced infarct size by 12&#x0025;</td>
<td valign="top" align="left">Pitavastatin</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">Immediately after reperfusion</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B161">161</xref>).</td>
<td valign="top" align="left">Bimetallic Nanozyme (Cu-TCPP-Mn)</td>
<td valign="top" align="left">Scavenges ROS; targets ischemic myocardium, suppresses IL-1&#x03B2;/TNF-&#x03B1;, reduces neutrophil/macrophage infiltration, elevates IL-10.</td>
<td valign="top" align="left">Reduced infarct size by 23.96&#x0025;, increased LVEF by 25&#x0025;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">Immediately after AMI</td>
<td valign="top" align="center">2023</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B142">142</xref>)</td>
<td valign="top" align="left">Prussian Blue Nanozyme</td>
<td valign="top" align="left">Scavenges ROS; drives macrophage polarization to M2 phenotype; activates AMPK pathway and inhibits NF-&#x03BA;B pathway.</td>
<td valign="top" align="left">Reduced infarct size by 21&#x0025;, increased LVEF by 14&#x0025;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">0 day post-AMI, repeated on days 3,7</td>
<td valign="top" align="center">2025</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B162">162</xref>)</td>
<td valign="top" align="left">CeO<sub>2</sub> NPs</td>
<td valign="top" align="left">Scavenges ROS; activates Nrf2/ARE pathway to suppress M1 macrophage polarization.</td>
<td valign="top" align="left">Increased LVEF by 30&#x0025;</td>
<td valign="top" align="left">Nrf2 plasmid</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">30&#x2005;min post-AMI, repeated on days 3,5,7</td>
<td valign="top" align="center">2025</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B163">163</xref>)</td>
<td valign="top" align="left">Mesoporous Silica NPs</td>
<td valign="top" align="left">Targets CD11b-positive monocytes/neutrophils in infarct zone; enriches NGR1 in damaged myocardium; reduces apoptosis and modulates macrophage phenotype (&#x2193;M1, &#x2191;M2).</td>
<td valign="top" align="left">Reduced infarct size by 19&#x0025;, increased LVEF by 22&#x0025;</td>
<td valign="top" align="left">Notoginsenoside R1</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">24&#x2005;h after MI</td>
<td valign="top" align="center">2022</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B164">164</xref>)</td>
<td valign="top" align="left">Erythrocyte Membrane-Coated Polymeric NPs</td>
<td valign="top" align="left">Targets berberine to infarcted myocardium; inhibits inflammation and promotes reparative macrophage proliferation.</td>
<td valign="top" align="left">Increased LVEF by 40&#x0025;</td>
<td valign="top" align="left">Berberine</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">15&#x2005;min after MI</td>
<td valign="top" align="center">2023</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3d"><label>3.4</label><title>Tergs-targeting nanoparticle-based drug delivery systems</title>
<p>Tregs within ischemic myocardial tissue can exert protective effects, including anti-apoptotic, anti-inflammatory, and antioxidant actions, which may help reduce left ventricular remodeling (<xref ref-type="bibr" rid="B45">45</xref>). The accumulation of Tregs in the ischemic heart is considered an important factor for supporting cardiac repair. Systemic delivery of exogenous Tregs to increase their circulating levels after AMI has been associated with improved cardiomyocyte survival, cardiac function, and overall repair outcomes (<xref ref-type="bibr" rid="B98">98</xref>).</p>
<p>In addition to direct Treg infusion, some strategies aim to expand Treg populations locally. Fangyuan Li et al. developed platelet membrane-coated NPs (CsA@PPTK) that target ischemic myocardium. CsA@PPTK can scavenge ROS and increase the Treg population and the M2/M1 macrophage ratio. In high-ROS environments, the PTK component degrades to release CsA, which inhibits mPTP over-opening and may help reduce cardiomyocyte apoptosis, inflammation, and fibrosis (<xref ref-type="bibr" rid="B157">157</xref>).</p>
<p>In another approach, Kwon et al. designed liposomal NPs (L-Ag/R) co-loaded with myocardial infarction-associated antigens and rapamycin. After intravenous administration and uptake by DCs, L-Ag/R can induce tolerogenic dendritic cells and promote the generation of antigen-specific Tregs. These Tregs migrate to the infarcted myocardium, potentially enabling more targeted immune tolerance with reduced risk of non-specific systemic immunosuppression compared to polyclonal Tregs. They appear to suppress pro-inflammatory M1 macrophage activity and promote M2 macrophage polarization, which may help mitigate local inflammation, reduce cardiomyocyte apoptosis, and limit fibrosis (<xref ref-type="bibr" rid="B165">165</xref>).</p>
<p>Current research in this area often focuses on engineered cell therapies, such as CAR-Tregs, or small-molecule immunomodulators like rapamycin, which can directly expand or activate Tregs (<xref ref-type="bibr" rid="B96">96</xref>). In contrast, nanoparticle-mediated targeting of Tregs remains less explored. This may be due to challenges in achieving specificity, as Tregs share surface markers with effector T cells (e.g., CD25, CTLA-4), combined with the generally low infiltration of Tregs into inflammatory MI zones. These factors can limit efficient nanoparticle targeting and accumulation, indicating a need for further investigation (<xref ref-type="bibr" rid="B97">97</xref>) (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Tergs-targeting nanoparticle-based drug delivery systems.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Reference</th>
<th valign="top" align="center">Nanoparticle type</th>
<th valign="top" align="center">Targeting mechanism</th>
<th valign="top" align="center">Efficacy endpoints</th>
<th valign="top" align="center">Therapeutic agent</th>
<th valign="top" align="center">Administration route</th>
<th valign="top" align="center">Administration time</th>
<th valign="top" align="center">Year</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B157">157</xref>)</td>
<td valign="top" align="left">Platelet Membrane-Biomimetic NPs</td>
<td valign="top" align="left">Scavenges ROS; increases Tregs generation; modulates M2/M1 macrophage ratio; inhibits mPTP over-opening</td>
<td valign="top" align="left">Reduced infarct size by 8.5&#x0025;, increased LVEF by 25&#x0025;</td>
<td valign="top" align="left">Cyclosporine A</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">5&#x2005;min before reperfusion</td>
<td valign="top" align="center">2022</td>
</tr>
<tr>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B165">165</xref>)</td>
<td valign="top" align="left">Liposomal NPs</td>
<td valign="top" align="left">Induces tDCs; increases antigen-specific Tregs recruitment; suppresses M1 and promotes M2 macrophages to reduce inflammation</td>
<td valign="top" align="left">Reduced infarct size by 18&#x0025;, increased LVEF by 13&#x0025;</td>
<td valign="top" align="left">MI tissue lysates (antigen)&#x2009;&#x002B;&#x2009;Rapamycin</td>
<td valign="top" align="left">Intravenous</td>
<td valign="top" align="left">24&#x2005;h post-AMI</td>
<td valign="top" align="center">2021</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>CAR-Treg-NP therapy is being explored for application in cardiovascular diseases. In the context of cardiac fibrosis, lipid NPs encapsulating mRNA encoding FAP-targeting chimeric antigen receptors have been employed to generate transient CAR-T cells <italic>in vivo</italic> through a single intravenous injection. These cells selectively clear activated cardiac fibroblasts, which has been shown to reduce fibrosis and improve cardiac function in mouse models (<xref ref-type="bibr" rid="B166">166</xref>). This CAR-Treg-NP strategy represents a potential direction for the precise modulation of immune-mediated cardiovascular pathologies.</p>
</sec>
<sec id="s3e"><label>3.5</label><title>Comparative overview of major nanoparticle-based drug delivery systems for AMI therapy</title>
<p>NP-NDDSs represent a promising approach for targeted therapy in AMI. Different classes of NPs offer distinct advantages and limitations. Organic NPs, such as liposomes, polymeric NPs (e.g., PLGA), and micelles, generally exhibit high biocompatibility, tunable drug release profiles, and ease of surface functionalization. However, they may present challenges related to stability, potential drug leakage, and local acidification caused by degradation products (<xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>, <xref ref-type="bibr" rid="B129">129</xref>, <xref ref-type="bibr" rid="B130">130</xref>). Inorganic NPs, including gold (AuNPs) and silica nanoparticles, often provide high physicochemical stability and substantial drug-loading capacity. A potential limitation is their relatively limited biodegradability, which raises considerations about long-term accumulation and possible toxicity (<xref ref-type="bibr" rid="B134">134</xref>, <xref ref-type="bibr" rid="B135">135</xref>, <xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B144">144</xref>). Biomimetic NPs, such as cell membrane-coated or exosome-based systems, offer advantages in immune evasion, targeting ability, and biocompatibility. Their development, however, can face challenges related to scalable production and batch-to-batch consistency (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B142">142</xref>, <xref ref-type="bibr" rid="B148">148</xref>). Overall, organic and biomimetic NPs may have greater clinical potential due to their biodegradable nature and bioinspired properties, whereas inorganic NPs may require further development to address safety profiles. A systematic comparison of key parameters&#x2014;including drug loading capacity, biocompatibility, targeting accuracy, and translational feasibility&#x2014;is provided in <xref ref-type="table" rid="T4">Table&#x00A0;4</xref> to aid in the rational selection of NP-NDDSs for AMI therapy.</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Comparative summary of nanoparticle-based drug delivery systems for AMI therapy.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Category</th>
<th valign="top" align="center">Structure/composition</th>
<th valign="top" align="center">Key advantages</th>
<th valign="top" align="center">Key limitations</th>
<th valign="top" align="center">Applications/drug types for AMI</th>
<th valign="top" align="center">Clinical translation potential/status</th>
<th valign="top" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Liposomes</td>
<td valign="top" align="left">Phospholipid bilayer vesicle, amphiphilic</td>
<td valign="top" align="left">High biocompatibility; Co-delivery of hydrophilic/hydrophobic drugs; Clinically validated</td>
<td valign="top" align="left">Stability issues (leakage, aggregation); Rapid clearance by MPS</td>
<td valign="top" align="left">Gene/drug co-delivery (<xref ref-type="bibr" rid="B129">129</xref>); Anti-inflammatories; Nucleic acids (siRNA, miRNA)</td>
<td valign="top" align="left">High. Multiple FDA-approved products (e.g., Doxil). No AMI-specific approval yet.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B129">129</xref>, <xref ref-type="bibr" rid="B130">130</xref>, <xref ref-type="bibr" rid="B165">165</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Polymeric NPs (e.g., PLGA)</td>
<td valign="top" align="left">Biodegradable polymers (e.g., PLA, PGA, PLGA)</td>
<td valign="top" align="left">Controllable degradation &#x0026; release; Tunable properties; Excellent biocompatibility</td>
<td valign="top" align="left">Acidic degradation products may cause local acidification</td>
<td valign="top" align="left">Widely Used. TLR4 inhibitors (<xref ref-type="bibr" rid="B152">152</xref>), PPAR&#x03B3; agonists (<xref ref-type="bibr" rid="B146">146</xref>), Senolytics (<xref ref-type="bibr" rid="B156">156</xref>), steroids (<xref ref-type="bibr" rid="B150">150</xref>), statins (<xref ref-type="bibr" rid="B160">160</xref>).</td>
<td valign="top" align="left">High. PLGA is FDA-approved (e.g., Lupron Depot). Leading candidate for AMI.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B125">125</xref>, <xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B146">146</xref>, <xref ref-type="bibr" rid="B152">152</xref>, <xref ref-type="bibr" rid="B156">156</xref>, <xref ref-type="bibr" rid="B160">160</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;Micelles</td>
<td valign="top" align="left">Self-assembled amphiphilic molecules, hydrophilic shell/hydrophobic core</td>
<td valign="top" align="left">Small size (&#x003C;80&#x2005;nm) for penetration; High hydrophobic drug loading</td>
<td valign="top" align="left">Low stability upon dilution; Premature drug release</td>
<td valign="top" align="left">CCR2 antagonists (<xref ref-type="bibr" rid="B153">153</xref>); Hydrophobic anti-inflammatory agents</td>
<td valign="top" align="left">Moderate. Approved for cancer (e.g., Genexol-PM). Stability needs improvement for AMI.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B153">153</xref>, <xref ref-type="bibr" rid="B155">155</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;Dendrimers</td>
<td valign="top" align="left">Highly branched, symmetric macromolecules</td>
<td valign="top" align="left">Multivalent surface; Well-defined size and structure</td>
<td valign="top" align="left">Potential toxicity; Complex synthesis</td>
<td valign="top" align="left">Targeted delivery of imaging agents and drugs</td>
<td valign="top" align="left">Low to moderate. Toxicity and manufacturing challenges. Mostly preclinical.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B128">128</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Gold NPs (AuNPs)</td>
<td valign="top" align="left">Metallic gold core, various shapes/sizes</td>
<td valign="top" align="left">Facile synthesis; Tunable optics; Low toxicity; Biocompatibility</td>
<td valign="top" align="left">Non-biodegradable; Long-term accumulation concerns (<xref ref-type="bibr" rid="B167">167</xref>, <xref ref-type="bibr" rid="B168">168</xref>).</td>
<td valign="top" align="left">Cardioprotective drugs (<xref ref-type="bibr" rid="B133">133</xref>); Photothermal therapy; Imaging</td>
<td valign="top" align="left">Moderate (for therapy). FDA-approved for photothermal therapy. Long-term safety uncertain.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B133">133</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;Silica NPs (Mesoporous)</td>
<td valign="top" align="left">Silica framework with porous structure</td>
<td valign="top" align="left">High surface area; High drug loading; Easily functionalized</td>
<td valign="top" align="left">Slow biodegradation; Long-term safety not established (<xref ref-type="bibr" rid="B135">135</xref>, <xref ref-type="bibr" rid="B168">168</xref>)</td>
<td valign="top" align="left">Adenosine (<xref ref-type="bibr" rid="B134">134</xref>); TCM monomers (<xref ref-type="bibr" rid="B163">163</xref>); Nucleic acids; Proteins.</td>
<td valign="top" align="left">Low to moderate. No FDA-approved drug carriers. Regulatory hurdles due to biodegradability.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B134">134</xref>, <xref ref-type="bibr" rid="B163">163</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;Nanozymes (e.g., Prussian Blue, CeO<sub>2</sub>)</td>
<td valign="top" align="left">Inorganic crystals with enzyme-like activity</td>
<td valign="top" align="left">ROS scavenging; Multifunctional; High stability</td>
<td valign="top" align="left">Long-term biodistribution/clearance unclear</td>
<td valign="top" align="left">Antioxidant therapy to mitigate oxidative stress (<xref ref-type="bibr" rid="B142">142</xref>, <xref ref-type="bibr" rid="B162">162</xref>).</td>
<td valign="top" align="left">Emerging/Low. Considered new chemical entities (NCEs). Entirely preclinical for AMI.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B142">142</xref>, <xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B161">161</xref>, <xref ref-type="bibr" rid="B162">162</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;Cell Membrane-Coated NPs</td>
<td valign="top" align="left">Synthetic NP core coated with natural cell membrane</td>
<td valign="top" align="left">Immune evasion; Inflammatory targeting; Biocompatibility</td>
<td valign="top" align="left">Complex manufacturing; Batch variability; Scalability issues</td>
<td valign="top" align="left">siRNA (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B147">147</xref>), cytokines (<xref ref-type="bibr" rid="B18">18</xref>), microRNA (<xref ref-type="bibr" rid="B141">141</xref>), small molecule drugs (<xref ref-type="bibr" rid="B157">157</xref>).</td>
<td valign="top" align="left">High (future potential). Promising preclinical results. No clinical trials for AMI yet.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B141">141</xref>, <xref ref-type="bibr" rid="B147">147</xref>, <xref ref-type="bibr" rid="B157">157</xref>, <xref ref-type="bibr" rid="B158">158</xref>, <xref ref-type="bibr" rid="B164">164</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;Extracellular Vesicles/Exosomes</td>
<td valign="top" align="left">Natural lipid bilayer vesicles with proteins/nucleic acids</td>
<td valign="top" align="left">Natural targeting; Low immunogenicity; Cross biological barriers</td>
<td valign="top" align="left">Low yield; Heterogeneity; Difficult drug loading/standardization</td>
<td valign="top" align="left">Natural cargo (miRNAs, proteins); Engineered drugs/nucleic acids.</td>
<td valign="top" align="left">Moderate/High (as biologics). Many clinical trials ongoing. Manufacturing is a major hurdle.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B159">159</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">&#x00A0;Apolipoprotein-based NPs</td>
<td valign="top" align="left">Apolipoprotein-phospholipid complexes mimicking HDL</td>
<td valign="top" align="left">Innate receptor targeting; Cholesterol efflux; Anti-inflammatory</td>
<td valign="top" align="left">Limited loading for non-lipophilic drugs; Complex composition</td>
<td valign="top" align="left">Immunomodulation of neutrophils/monocytes (<xref ref-type="bibr" rid="B151">151</xref>).</td>
<td valign="top" align="left">Low (as drug carrier). Clinical trials for lipid management (e.g., CER-001), not AMI drug delivery.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B151">151</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4"><label>4</label><title>Challenges facing nanoparticle drug delivery systems for myocardial infarction therapy</title>
<sec id="s4a"><label>4.1</label><title>Challenges In clinical translation</title>
<p>Most nanotherapeutics for MI remain at the preclinical stage, having been tested primarily in small animal models such as mice and rats. Among the studies reviewed here, only one included a small-scale clinical trial (<xref ref-type="bibr" rid="B151">151</xref>), while all others are still in the preclinical phase. This heavy reliance on animal models represents a major limitation in the development of NP-NDDS for AMI.</p>
<p>Although clinical research on NP-NDDS for AMI is limited, some studies in broader cardiovascular fields have begun to explore clinical applications. For example, Lu Yang et al. conducted a randomized controlled trial using a liposomal NP-NDDS to co-deliver low-dose clopidogrel and aspirin. The study involved 270 patients with coronary artery disease and reported that the liposomal formulation reduced the incidence of major adverse cardiovascular events with a favorable safety profile compared to conventional dual antiplatelet therapy (<xref ref-type="bibr" rid="B169">169</xref>).</p>
<p>However, not all clinical trials have yielded positive outcomes. In a study by Fleur M. van der Valk et al., 30 patients with atherosclerosis received liposomal prednisolone. Although the nanoparticles reached macrophages within atherosclerotic plaques, no significant anti-inflammatory effect was observed&#x2014;possibly due to insufficient drug dosage or the small sample size (<xref ref-type="bibr" rid="B170">170</xref>). Another planned trial led by Yan Fang et al. aims to enroll 200 participants to evaluate a self-assembling nanoprobe for detecting fibroblast growth factors (FGFs) for cardiovascular disease screening and treatment assessment (ChiCTR2400089047). Despite considerable preclinical progress, the translation of NP-NDDS into clinical practice remains limited.</p>
<p>The challenges in clinical translation are partly attributable to anatomical, physiological, and pathological differences between species. For instance, the heart rate of mice (500&#x2013;700&#x2005;bpm) is much higher than that of humans (60&#x2013;100&#x2005;bpm), which affects hemodynamic shear stress and may alter NP circulation time, protein corona formation, and targeting efficiency. Pathologically, post-AMI inflammation in rodents is relatively short, typically resolving within 3&#x2013;7 days, with fibrotic remodeling often complete within a week. In humans, however, the inflammatory phase can persist for 2&#x2013;4 weeks, and fibrotic remodeling is more prolonged and complex.</p>
<p>Heavy reliance on small animal models means that key parameters such as targeting efficiency and safety observed in rodents may not reliably predict outcomes in humans. Additionally, clinical patients often exhibit significant individual variability&#x2014;unlike standardized animal models. Factors such as immune status, age, and comorbidities can further influence NP efficacy and targeting. Therefore, the use of large animal models such as porcine MI models, which more closely mimic human physiology and pathology, is essential. These models allow for better evaluation of NP targeting efficiency, long-term safety (e.g., tracking cardiac function over &#x2265;6 months), and immunogenicity (e.g., anti-NP antibody generation), thereby improving predictive validity.</p>
<p>Another challenge lies in the choice of administration route and the dynamic nature of the inflammatory response following AMI. The administration method significantly affects NP accumulation in the infarcted area, as well as the duration of therapeutic action and overall safety. Direct intramyocardial injection can achieve high local drug concentrations but may cause mechanical injury to vulnerable cardiac tissue and increase the risk of myocardial rupture. Intravenous injection is less invasive but often results in rapid systemic clearance and delayed delivery to the target site. As shown in the study by van der Valk et al., even when NPs reach the lesion, treatment effects may be limited by factors such as insufficient dosing (<xref ref-type="bibr" rid="B151">151</xref>).</p>
<p>Moreover, the post-AMI inflammatory response evolves dynamically over time, involving phenotypic shifts in immune cells such as N1/N2 neutrophils and M1/M2 macrophages. This underscores the need for NP systems capable of spatiotemporally controlled drug release. Future research could focus on developing &#x201C;phase-specific&#x201D; NPs that adapt to the changing inflammatory microenvironment&#x2014;from acute injury to repair phases. Strategies may include dual-targeting ligands that respond to both microenvironmental cues and specific cell phenotypes, or biomimetic approaches that leverage the homing behavior of immune cells, such as neutrophil- or macrophage-mimetic NPs.</p>
<p>With advances in computational methods, artificial intelligence (AI)-assisted design has emerged as a potential tool for developing NPs with spatiotemporally controlled release properties. Machine learning (ML) models can analyze high-throughput experimental and computational data to predict NP behavior in complex inflammatory microenvironments, supporting more rational NP design (<xref ref-type="bibr" rid="B171">171</xref>). For example, ML can help predict protein corona composition based on protein sequences and NP physicochemical properties (<xref ref-type="bibr" rid="B172">172</xref>, <xref ref-type="bibr" rid="B173">173</xref>), which may guide the design of surface ligands to enhance targeting toward specific cell phenotypes (e.g., M1/M2 macrophages) while reducing non-specific uptake. In ligand optimization, AI may aid in identifying dual- or multi-targeting ligands that respond to microenvironmental signals (e.g., pH, ROS) and cell surface receptors, enabling NPs to adapt to stage-specific inflammatory cues. ML models may also analyze relationships between immune cell homing behavior and membrane protein expression, informing the design of biomimetic nanocarriers (<xref ref-type="bibr" rid="B174">174</xref>). By integrating multi-omics data with computational modeling, AI-assisted approaches could help design NPs that dynamically adjust their function during disease progression, improve targeting accuracy, and reduce off-target effects.</p>
</sec>
<sec id="s4b"><label>4.2</label><title>Regulatory and manufacturing hurdles</title>
<p>While nanoparticles offer potential advantages in medical applications, they also present considerable immunogenic risks. Owing to their surface properties and foreign nature, nanoparticles can activate the immune system, potentially triggering hypersensitivity or inflammatory responses. For instance, gold nanoparticles (AuNPs) used in diagnostic imaging have been associated with allergic reactions such as rashes, swelling, and respiratory distress in some patients (<xref ref-type="bibr" rid="B175">175</xref>). Dendrimers and polymeric nanoparticles may activate immune cells while enhancing drug delivery, which could lead to inflammation or allergic reactions (<xref ref-type="bibr" rid="B176">176</xref>). Even typically biocompatible carriers such as liposomes have been reported to induce immune responses under high-dose or long-term administration (<xref ref-type="bibr" rid="B177">177</xref>, <xref ref-type="bibr" rid="B178">178</xref>). These observations highlight the importance of prioritizing endogenous degradable materials (e.g., hyaluronic acid, chitosan) or biomimetic materials (e.g., exosomes, cell membrane vesicles) to help minimize long-term toxicity risks. It is also considered essential to expand long-term safety assessments to include large animal models.</p>
<p>The metabolic pathways, accumulation effects, and potential chronic health impacts of nanoparticles in humans remain inadequately understood, partly due to a lack of large-scale clinical studies (<xref ref-type="bibr" rid="B179">179</xref>). Although two clinical studies in cardiovascular disease using lipid nanoparticles reported no major safety concerns, their sample sizes were limited (<xref ref-type="bibr" rid="B169">169</xref>, <xref ref-type="bibr" rid="B170">170</xref>). Animal studies have indicated that certain inorganic nanoparticles can accumulate in organs such as the liver, lungs, and kidneys, where they may induce oxidative stress, inflammation, or other adverse effects (<xref ref-type="bibr" rid="B180">180</xref>). Additionally, the environmental behavior of nanoparticles warrants attention: they may enter soil and water systems through medical waste or emissions, with the potential to bioaccumulate and move through the food chain, posing possible risks to ecosystems and public health (<xref ref-type="bibr" rid="B179">179</xref>, <xref ref-type="bibr" rid="B181">181</xref>). Therefore, advancing the development of biodegradable nanomaterials and strengthening regulatory oversight of NPs production and use are important priorities.</p>
<p>These scientific uncertainties further complicate the regulatory evaluation of nanomedicine products. Regulatory agencies such as the U.S. FDA and the European EMA currently rely largely on frameworks designed for conventional drugs, which may not fully address the specific complexities of nanomaterials, including batch-to-batch variability, bioequivalence assessment, and dynamic release behaviors (<xref ref-type="bibr" rid="B182">182</xref>&#x2013;<xref ref-type="bibr" rid="B184">184</xref>). The manufacturing of nanomedicines requires precise control over critical parameters such as particle size distribution, surface charge, drug encapsulation efficiency, and release kinetics, which can vary between batches and pose challenges to product consistency and quality (<xref ref-type="bibr" rid="B185">185</xref>). Adherence to Good Manufacturing Practice (GMP) and the establishment of a comprehensive quality control system&#x2014;covering raw materials, production processes, and final products&#x2014;are essential to ensure reproducible quality during scale-up from laboratory research to commercial production (<xref ref-type="bibr" rid="B185">185</xref>). Some nanomedicines, including Doxil and Abraxane, have encountered delays or obstacles in approval related to stability, toxicity, or manufacturing consistency issues (<xref ref-type="bibr" rid="B184">184</xref>). Moreover, the absence of harmonized international regulatory standards may limit the global accessibility and equitable distribution of nanomedicines (<xref ref-type="bibr" rid="B186">186</xref>, <xref ref-type="bibr" rid="B187">187</xref>). To support the responsible development of nanomedicine, there is a need to establish transnational collaborative mechanisms and develop unified global evaluation standards specifically addressing the safety, efficacy, and environmental impact of nanomaterials.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>NP-NDDSs may offer potential benefits for advancing the treatment of AMI through targeted modulation of the inflammatory immune response. As discussed, these systems have been shown in preclinical studies to enhance the precision of therapeutic delivery to pivotal immune cells, suggesting potential for reducing tissue damage and supporting repair processes.</p>
<p>The path to clinical application, however, involves considerable challenges. A central issue is the evolving inflammatory landscape after AMI, which requires drug delivery systems that can adapt over time. Future efforts should focus on creating versatile platforms that can sequentially modulate different phases of the immune response. Incorporating biomimetic designs, such as cell membrane coatings, may improve targeting specificity, while artificial intelligence could aid in optimizing nanoparticle properties for desired <italic>in vivo</italic> performance. Additionally, robust validation in physiologically relevant large animal models is essential to reliably assess therapeutic benefits and safety profiles. Translational progress will also depend on overcoming hurdles in manufacturing consistency, long-term biosafety, and navigating evolving regulatory frameworks.</p>
<p>In conclusion, while NP-NDDSs represent a <bold>promising approach</bold> to AMI therapy, their successful translation will depend on addressing these interrelated biological and technical challenges.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="author-contributions"><title>Author contributions</title>
<p>YL: Writing &#x2013; original draft, Investigation, Visualization, Conceptualization, Writing &#x2013; review &#x0026; editing. PL: Investigation, Writing &#x2013; original draft, Visualization, Conceptualization, Writing &#x2013; review &#x0026; editing. WW: Investigation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. YZ: Investigation, Writing &#x2013; review &#x0026; editing. SL: Writing &#x2013; review &#x0026; editing, Investigation. DL: Investigation, Writing &#x2013; review &#x0026; editing. QL: Conceptualization, Project administration, Supervision, Writing &#x2013; original draft, Funding acquisition, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study received funding through two key initiatives: (1) the Chinese Medicine inheritance and innovation &#x201C;thousand million&#x201D; Talents Project (Qi Huang Project 2021) Qi Huang Scholars program, and (2) the National Administration of Traditional Chinese Medicine High-level TCM Key discipline Project (zyyzdxk-2023253).</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We independently drew the figures using the Figdraw drawing platform (<ext-link ext-link-type="uri" xlink:href="https://www.figdraw.com">https://www.figdraw.com</ext-link>) and express our gratitude to the platform for providing this service.</p>
</ack>
<sec id="s8" 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="s9" 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>
</sec>
<sec id="s10" 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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