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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Exp. Biol. Med.</journal-id>
<journal-title-group>
<journal-title>Experimental Biology and Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Exp. Biol. Med.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1535-3699</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="publisher-id">10781</article-id>
<article-id pub-id-type="doi">10.3389/ebm.2025.10781</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
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<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Neutrophil extracellular traps: emerging drivers and therapeutic targets in abdominal aortic aneurysm pathogenesis</article-title>
<alt-title alt-title-type="left-running-head">Lyu et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/ebm.2025.10781">10.3389/ebm.2025.10781</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lyu</surname>
<given-names>Xinyi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2948030"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Qi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Jiahao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Yajun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dai</surname>
<given-names>Xianpeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Department of Vascular Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China</institution>, <city>Hengyang</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Department of Endocrinology and Metabolism, The Second Affiliated Hospital, Hengyang Medical School, University of South China</institution>, <city>Hengyang</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Yajun Chen, <email xlink:href="mailto:104762933@qq.com">104762933@qq.com</email>; Xianpeng Dai, <email xlink:href="mailto:2003020003@mail.usc.edu.cn">2003020003@usc.edu.cn</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-07">
<day>07</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>250</volume>
<elocation-id>10781</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>08</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>29</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Lyu, Liu, Shi, Chen and Dai.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Lyu, Liu, Shi, Chen and Dai</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-07">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Abdominal aortic aneurysm (AAA) is a life-threatening condition with no effective pharmacological treatments, underscoring the critical need to identify novel therapeutic targets. Emerging translational and clinical evidence implicates neutrophil extracellular traps (NETs) as potential drivers of AAA pathogenesis. This review systematically delineates the mechanisms by which NETs contribute to aortic wall degradation, focusing on their direct cytotoxicity to vascular smooth muscle cells (VSMCs), induction of VSMC phenotypic switching and ferroptosis, amplification of inflammatory cascades, and propagation of thromboinflammation. Key mediators include PAD4, IL-1&#x3b2;, PI3K&#x3b3;, neutrophil elastase, myeloperoxidase, and mitochondrial DNA. NET components (citrullinated histone H3, cell-free DNA, neutrophil elastase) serve as promising diagnostic and prognostic biomarkers. Preclinical studies highlight the efficacy of NET-targeting strategies, including inhibiting NET formation, degrading existing NETs, neutralizing cytotoxic components, and modulating downstream pathways (e.g., with ferroptosis inhibitors). Nanotechnology platforms enhance site-specific delivery of these agents. By integrating the research background with its practical implications, we conclude that targeting NETs represents a promising paradigm shift. Despite translational challenges, this approach offers a rational framework for developing the first pharmacotherapies aimed at stabilizing AAA and addressing a major unmet clinical need.</p>
</abstract>
<kwd-group>
<kwd>neutrophil extracellular traps</kwd>
<kwd>abdominal aortic aneurysm</kwd>
<kwd>pathogenesis</kwd>
<kwd>therapeutic targets</kwd>
<kwd>biomarkers</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Natural Science Foundation of Hunan Province (2025JJ81010, 2024JJ9387), and Postgraduate Scientific Research Innovation Project of Hunan Province (CX20240849).</funding-statement>
</funding-group>
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<ref-count count="46"/>
<page-count count="10"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Diseases</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Impact statement</title>
<p>This review establishes neutrophil extracellular traps (NETs) as central drivers of abdominal aortic aneurysm (AAA) progression, a life-threatening condition lacking effective drug therapies. It synthesizes groundbreaking evidence showing how NETs actively degrade the aortic wall by killing vascular muscle cells, amplifying inflammation, and promoting blood clots within the aneurysm. Crucially, we identify NET components (e.g., citrullinated histone H3) as novel diagnostic and prognostic biomarkers linked to aneurysm growth and rupture risk. Furthermore, the work highlights promising NET-targeting therapeutic strategies&#x2014;including inhibitors of NET formation, degraders of existing NETs, and microbiome modulators&#x2014;that significantly reduce AAA progression in preclinical models. By defining NETs as fundamental mediators and actionable targets, this review provides a transformative framework for developing the first pharmacological interventions to stabilize AAA, addressing a major unmet clinical need.</p>
</sec>
<sec sec-type="intro" id="s2">
<title>Introduction</title>
<p>Abdominal aortic aneurysm (AAA), a potentially life-threatening dilation of the infrarenal aorta, characterized by progressive inflammatory infiltration, extracellular matrix degradation, and vascular smooth muscle cell (VSMC) depletion [<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>]. With no effective pharmacotherapies available, rupture carries a high mortality rate [<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>]. Inflammation is a recognized cornerstone of AAA pathogenesis, which operates within a complex interplay of genetic predisposition, biomechanical stress, metabolic disease, and environmental factors such as smoking, and involves innate and adaptive immune cells [<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>]. Traditionally viewed as first responders, neutrophils contribute to host defense beyond phagocytosis via a distinct process known as Neutrophil extracellular trap (NET) formation, or NETosis [<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>]. NETs, released by neutrophils, are web-like structures composed of decondensed chromatin decorated with cytotoxic granular proteins such as myeloperoxidase (MPO), neutrophil elastase (NE), and citrullinated histone H3 (CitH3), which function to ensnare pathogens [<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>]. Emerging translational and clinical evidence implicates neutrophil extracellular traps (NETs) as potential driver of AAA progression. It is important to note, however, that while these associations are compelling, the causal role of NETs in human AAA pathogenesis is still being delineated, with much of the mechanistic insight derived from preclinical models. Components of NETs, such as CitH3, cell-free DNA (cfDNA), and NE, are significantly elevated in both the plasma and tissues of AAA patients, and these elevations correlate with aneurysm size, growth rate, and severity [<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>]. Histologically, NETs localize within the aortic wall and intraluminal thrombus (ILT), where they mediate multifaceted damage [<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>].</p>
<p>This review synthesizes evidence establishing NETs as fundamental drivers of AAA pathogenesis. It will specifically examine the molecular and cellular mechanisms by which NETs cause ECM degradation, induce VSMC death (apoptosis, ferroptosis) and phenotypic switching, amplify inflammation (cytokine cascades, pDC activation), and drive metabolic/epigenetic dysregulation. Systemic factors (gut dysbiosis, thromboinflammation) amplifying NETosis are explored. The translational potential of NET components as biomarkers and emerging NET-targeting therapeutic strategies are critically evaluated. Finally, challenges in translating these discoveries to meet the unmet clinical need in AAA management are addressed.</p>
</sec>
<sec id="s3">
<title>Categorization and mechanisms of NETosis</title>
<p>NETosis can be classified by stimulus (microbial vs. sterile), cellular outcome (lytic/suicidal vs. vital), and molecular pathway (NADPH oxidase-dependent vs. -independent). In the context of AAA, sterile inflammation-induced and thromboinflammatory NETosis are particularly relevant, driven by DAMPs, cytokines, and platelet-neutrophil interactions. A detailed summary of NETosis classifications is provided in <xref ref-type="sec" rid="s14">Supplementary Table S1</xref>.</p>
<sec id="s3-1">
<title>Pathological mechanisms of NETosis in AAA</title>
<p>NETosis is a central driver of AAA pathogenesis. Its detrimental effects unfold through distinct but interconnected mechanisms, categorized as follows (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Pathological mechanisms of NETosis in AAA.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Category</th>
<th align="left">Key elements</th>
<th align="left">Pathological effects in AAA</th>
<th align="left">Experimental evidences</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">Molecular triggers</td>
<td align="left">IL-1&#x3b2;: induces ceramide synthase 6 &#x2192; C16-ceramide &#x2192; nuclear changes &#x2192; NETosis</td>
<td align="left">Promotes neutrophil activation and NET release, driving initial inflammation and wall damage</td>
<td align="left">Il1b KO mice show reduced AAA [<xref ref-type="bibr" rid="B21">21</xref>]</td>
</tr>
<tr>
<td align="left">oxLDL: Potent NETosis inducer</td>
<td align="left">Links dyslipidemia to vascular inflammation and NET-driven injury</td>
<td align="left">Plasma oxPL/apoB levels correlate with citH3 levels in AAA patients [<xref ref-type="bibr" rid="B22">22</xref>]</td>
</tr>
<tr>
<td align="left">PDK isoenzymes: upregulated in AAA &#x2192; increases lactate/p-PDH &#x2192; metabolic shift</td>
<td align="left">Drives NETosis and vascular inflammation</td>
<td align="left">DCA (PDK inhibitor) reduces NETosis in mouse models [<xref ref-type="bibr" rid="B23">23</xref>]</td>
</tr>
<tr>
<td rowspan="3" align="left">Cellular damage</td>
<td align="left">NET components (NE, MPO, CitH3): Direct proteolytic attack on ECM (elastin, collagen)</td>
<td align="left">Elastin degradation, ECM fragmentation &#x2192; loss of structural integrity</td>
<td align="left">NETs increase MMP-2/9 activity [<xref ref-type="bibr" rid="B24">24</xref>]; NE/MPO directly degrade elastin [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B25">25</xref>]</td>
</tr>
<tr>
<td align="left">VSMC phenotypic switching: NETs suppress Hippo-YAP pathway &#x2192; increases synthetic/pro-inflammatory VSMCs</td>
<td align="left">VSMC loss of contractility &#x2192; impaired repair; increases inflammation</td>
<td align="left">
<italic>Padi4</italic> or <italic>Yap</italic> knockout (KO) prevents VSMC transformation [<xref ref-type="bibr" rid="B26">26</xref>]</td>
</tr>
<tr>
<td align="left">VSMC ferroptosis: NETs deplete mitochondrial glutathione (reduces SLC25A11) &#x2b; inhibit PI3K/AKT &#x2192; iron-dependent death</td>
<td align="left">Massive VSMC loss &#x2192; wall thinning, rupture risk</td>
<td align="left">Ferroptosis inhibitors reduce AAA in mouse models [<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>]</td>
</tr>
<tr>
<td rowspan="4" align="left">Systemic drivers</td>
<td align="left">Gut dysbiosis: reduces <italic>Ruminococcus intestinalis</italic> &#x2192; reduces butyrate</td>
<td align="left">Increases neutrophil infiltration &#x2192; increases NOX2-dependent NETosis &#x2192; aortic dilation</td>
<td align="left">Butyrate supplementation or <italic>Ruminococcus intestinalis</italic> gavage attenuates AAA [<xref ref-type="bibr" rid="B29">29</xref>]</td>
</tr>
<tr>
<td align="left">Thromboinflammation: NETs &#x2192; activate pDCs &#x2192; increases type I IFNs &#x2192; increases inflammation</td>
<td align="left">Sustained inflammation, macrophage activation, and ECM degradation</td>
<td align="left">pDC depletion or type I IFN blockade attenuates AAA [<xref ref-type="bibr" rid="B20">20</xref>]</td>
</tr>
<tr>
<td align="left">PAD4: Mediates histone citrullination &#x2192; chromatin decondensation &#x2192; NETosis</td>
<td align="left">Essential for NET formation; drives VSMC apoptosis and ECM damage</td>
<td align="left">PAD4 inhibitors or KO reduces VSMC apoptosis and AAA rupture [<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>]</td>
</tr>
<tr>
<td align="left">PI3K&#x3b3;: Activates non-canonical pyroptosis &#x2192; NETosis</td>
<td align="left">Amplifies neutrophil-driven inflammation and wall injury</td>
<td align="left">PI3K&#x3b3; inhibition reduces NETs in AAA models [<xref ref-type="bibr" rid="B32">32</xref>]</td>
</tr>
<tr>
<td rowspan="2" align="left">Thrombus interface</td>
<td align="left">NET Reservoir: ILT accumulates high levels of citH3, NE, MPO, and cfDNA.</td>
<td align="left">Creates hyper-inflammatory/proteolytic niche &#x2192; recruits neutrophils &#x2192; perpetuates NETosis</td>
<td align="left">Thrombus contains 30&#xd7; more citH3 than wall, CXCL1/CXCL8 recruit neutrophils [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B19">19</xref>]</td>
</tr>
<tr>
<td align="left">pDC activation: ILT-concentrated NETs &#x2192; robust pDC activation &#x2192; increases type I IFNs</td>
<td align="left">Amplifies vascular inflammation and ECM breakdown</td>
<td align="left">pDCs activated by NETs in ILT [<xref ref-type="bibr" rid="B20">20</xref>]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Key Abbreviations: citH3, Citrullinated Histone H3; DCA, Dichloroacetate; ECM, Extracellular Matrix; IFN, Interferon; IL-1&#x3b2;: Interleukin-1 beta; ILT, Intraluminal Thrombus; MMP, Matrix Metalloproteinase; MPO, Myeloperoxidase; NE, Neutrophil Elastase; NETosis, Neutrophil Extracellular Trap formation; oxLDL, oxidized low-density lipoprotein; PAD4, Peptidyl Arginine Deiminase 4; pDC, plasmacytoid Dendritic Cell; PDK, Pyruvate Dehydrogenase Kinase; PI3K/AKT, Phosphoinositide 3-kinase/Protein Kinase B; PI3K&#x3b3;, Phosphoinositide 3-Kinase gamma; SLC25A11, Mitochondrial Glutamate Carrier; VSMC, Vascular Smooth Muscle Cell.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Molecular triggers of NETosis</title>
<p>Key molecular mediators of NETosis in AAA include interleukin-1&#x3b2; (IL-1&#x3b2;). IL-1&#x3b2; induces ceramide synthase 6-mediated synthesis of C16-ceramide, thereby promoting the nuclear changes essential for NET formation [<xref ref-type="bibr" rid="B21">21</xref>]. Oxidized low-density lipoprotein (oxLDL) is another potent inducer of NETosis [<xref ref-type="bibr" rid="B22">22</xref>], mechanistically linking dyslipidemia to vascular inflammation in AAA. Additionally, in human AAA tissue PDK isoenzymes are upregulated, which drives a metabolic shift characterized by increased lactate production and phosphorylated PDH levels [<xref ref-type="bibr" rid="B23">23</xref>]. Crucially, experimental inhibition of PDK not only reduces NETosis but also attenuates AAA pathogenesis in <italic>in vivo</italic> and <italic>in vitro</italic> models, confirming its significant role [<xref ref-type="bibr" rid="B23">23</xref>].</p>
</sec>
<sec id="s3-3">
<title>Cellular damage by NET components</title>
<p>NETs, which are composed of chromatin filaments complexes with cytotoxic proteins such as NE, MPO, and CitH3 [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>], directly inflict damage upon the vascular wall. Beyond direct injury, NETs significantly exacerbate vascular pathology by inducing phenotypic switching and dysfunction in VSMCs [<xref ref-type="bibr" rid="B33">33</xref>]. Specifically, neutrophil elastase (NE), a key component of NETs, has been identified as a direct mediator that suppresses the Hippo-YAP signaling pathway, promoting the transition of VSMCs towards a synthetic, pro-inflammatory phenotype. This shift is associated with distinct histone modifications&#x2014;enrichment of H3K4me3 and reduction of H3K27me3&#x2014;at the promoters of contractile apparatus genes [<xref ref-type="bibr" rid="B26">26</xref>].</p>
<p>Notably, NETs are potent inducers of VSMC ferroptosis, an iron-dependent form of regulated cell death [<xref ref-type="bibr" rid="B27">27</xref>]. Mechanistically, the proteolytic activity of NET-associated NE contributes to the degradation of the mitochondrial glutamate carrier SLC25A11, leading to glutathione depletion and compromising cellular antioxidant defenses [<xref ref-type="bibr" rid="B27">27</xref>]. Concurrently, NETs inhibit the pro-survival PI3K/AKT signaling pathway, which downregulates the expression of the central anti-ferroptotic regulator, glutathione peroxidase 4 (GPX4), thereby synergistically enhancing VSMC susceptibility to ferroptosis [<xref ref-type="bibr" rid="B28">28</xref>].</p>
</sec>
<sec id="s3-4">
<title>Systemic drivers amplifying NETosis</title>
<sec id="s3-4-1">
<title>Gut microbiome dysregulation</title>
<p>Alterations in the gut microbiota composition (dysbiosis), particularly a reduced abundance of <italic>Ruminococcus intestinalis</italic>, contribute significantly to AAA pathogenesis by influencing NETosis. This dysbiosis diminishes microbial production of the short-chain fatty acid butyrate. Butyrate deficiency, in turn, promotes neutrophil infiltration into the aortic wall and enhances NOX2-dependent NET formation, potentially through mechanisms involving the inhibition of histone deacetylases (HDAC) activity and subsequent suppression of pro-inflammatory signaling pathways, ultimately accelerating aortic dilation [<xref ref-type="bibr" rid="B29">29</xref>].</p>
</sec>
<sec id="s3-4-2">
<title>Thromboinflammation and feed-forward loops</title>
<p>NETosis actively fuels a pro-thrombotic environment within the aneurysm sac. NET components, notably cfDNA and CitH3, stimulate plasmacytoid dendritic cells (pDCs). Activated pDCs produce type I interferons (IFNs), which sustain vascular inflammation and promote macrophage activation. Furthermore, NETs facilitate the development of intraluminal thrombus. Critically, this thrombus acts as a reservoir for NET components and associated proteases, creating a potent pro-inflammatory and proteolytic microenvironment. This niche further recruits neutrophils, perpetuating NETosis and driving continuous wall degradation. Critically, the presence of thrombus significantly enhances the efficacy of NETosis inhibitors in reducing AAA progression in experimental models, highlighting the centrality of this thromboinflammatory cycle [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>].</p>
</sec>
<sec id="s3-4-3">
<title>Epigenetic and transcriptional regulation</title>
<p>Key molecular regulators underpin NETosis in AAA. PAD4-mediated histone citrullination is an essential step for chromatin decondensation during NET formation. Pharmacological inhibition or genetic deletion of PAD4 markedly reduces NET generation, attenuates VSMC apoptosis, and decreases AAA rupture incidence [<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>]. Additionally, phosphoinositide-3-kinase &#x3b3; (PI3K&#x3b3;) signaling promotes NETosis by activating non-canonical pyroptosis pathways dependent on cAMP/PKA signaling [<xref ref-type="bibr" rid="B32">32</xref>].</p>
</sec>
</sec>
</sec>
<sec id="s4">
<title>The thrombus interface: a critical hub in AAA pathogenesis</title>
<p>NETs actively promote the formation of ILT within AAA. Once established, the ILT functions as a dynamic repository, accumulating high concentrations of NET-derived components, such as DNA, CitH3, NE, MPO, and various proteases [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B34">34</xref>]. This thrombotic niche fosters a potent pro-inflammatory microenvironment. Through the release of neutrophil-attracting chemokines, such as CXCL1 and CXCL8, the ILT recruits additional neutrophils to the site [<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B35">35</xref>]. This sustained neutrophil influx perpetuates NETosis and drives continuous degradation of the vascular wall. Notably, the ILT concentrates NET components to extraordinary levels. For instance, CitH3 accumulates within the thrombus at concentrations up to 30-fold higher than those found in the adjacent aortic wall [<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B18">18</xref>]. This concentrated reservoir serves as a potent platform for activating pDCs, stimulating robust type I IFN production, and thereby amplifying vascular inflammation [<xref ref-type="bibr" rid="B36">36</xref>].</p>
<p>The central role of the ILT in driving NETosis-dependent pathology is underscored by the differential efficacy of NETosis inhibitors. Pharmacological agents targeting NET formation, such as PAD4 inhibitors, demonstrate significantly enhanced efficacy in attenuating AAA progression in experimental models possessing an ILT [<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B31">31</xref>]. These highlight the ILT not merely as a pathological feature, but as a crucial therapeutic target within the NETosis-amplifying cascade of AAA.</p>
<sec id="s4-1">
<title>NETs as biomarkers in AAA</title>
<p>NET components exhibit compelling potential as clinical biomarkers across the entire AAA disease continuum. Their emerging diagnostic and prognostic utility, supported by recurrent evidence in the literature, is systematically summarized below.</p>
</sec>
<sec id="s4-2">
<title>Circulating NET components serve as diagnostic and prognostic biomarkers</title>
<p>Consistently elevated levels of specific NET components are detected in the plasma/serum of AAA patients compared with healthy controls and patients with other vascular pathologies, such as peripheral artery disease (PAD). These biomarkers demonstrate significant diagnostic and prognostic utility.</p>
<sec id="s4-2-1">
<title>CitH3</title>
<p>A highly specific NETosis marker with significantly increased concentrations in AAA plasma and tissue&#x2014;particularly within the ILT. It demonstrates diagnostic potential (AUC &#x2248;0.705), predicts short-term AAA progression (e.g., 6-month growth), and decreases markedly following successful surgical repair, highlighting its value for postoperative monitoring [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B37">37</xref>].</p>
</sec>
<sec id="s4-2-2">
<title>cfDNA</title>
<p>As the structural DNA backbone of NETs, plasma cfDNA levels are substantially elevated in AAA patients. These elevations correlate strongly with established markers of neutrophil activation and NET formation, highlighting the central role of neutrophil dysregulation and NETosis in AAA progression and positioning cfDNA as a potential biomarker reflecting this key pathological pathway [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B37">37</xref>].</p>
</sec>
<sec id="s4-2-3">
<title>MPO &#x26; NE</title>
<p>These granular proteins, embedded within NET structures, are elevated in AAA plasma and tissue. They co-localize with NETs and correlate with both disease presence and activity, positioning them not only as specific markers of NET burden but also as potential indicators of disease severity and future risk [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B37">37</xref>].</p>
</sec>
<sec id="s4-2-4">
<title>Oxidized DNA</title>
<p>Reflecting NETosis-associated oxidative stress. Specific methodologies (e.g., immunoprecipitation followed by qPCR) enable differentiation between oxidized nuclear and mitochondrial DNA in plasma. Studies show that AAA patients exhibit trends toward increased oxidized mitochondrial DNA and enrichment of mitochondrial DNA within the oxidized fraction, suggesting a potential link between NETosis and specific organellar damage pathways [<xref ref-type="bibr" rid="B16">16</xref>].</p>
</sec>
<sec id="s4-2-5">
<title>Multiplex biomarker panels</title>
<p>Combinations of CitH3, cfDNA, MPO, and potentially oxidized phospholipids on apolipoprotein B-100 (oxPL/apoB) demonstrate enhanced diagnostic accuracy and progression risk stratification over single-marker approaches [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B30">30</xref>].</p>
</sec>
</sec>
</sec>
<sec id="s5">
<title>Association with disease severity and progression</title>
<p>Circulating levels of key NET biomarkers&#x2014;including CitH3, cfDNA, MPO, and NE&#x2014;show strong correlations with established AAA risk factors and adverse clinical outcomes. Specifically, these biomarkers demonstrate significant associations with both AAA maximum diameter and annual expansion rate [<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B37">37</xref>]. It is worth noting that Eilenberg et al. reported that elevated CitH3 levels are a predictive indicator for accelerated AAA growth [<xref ref-type="bibr" rid="B18">18</xref>].</p>
<p>NET components are consistently found at significantly higher concentrations within the AAA wall tissue and, in particular, are localized within the ILT [<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B37">37</xref>]. Furthermore, advances in molecular profiling, utilizing machine learning and multi-omics analyses, have identified distinct NET-related gene expression signatures (e.g., involving <italic>DUSP26, FCN1, MTHFD2, GPRC5C, SEMA4A, CCR7</italic>). These signatures hold considerable diagnostic potential as novel tools for predicting the likelihood and trajectory of AAA progression [<xref ref-type="bibr" rid="B33">33</xref>].</p>
<sec id="s5-1">
<title>Link to pathogenic mechanisms and comorbidities</title>
<p>Circulating NET biomarker levels serve as indicators of key pathological processes underlying AAA development and progression.</p>
<sec id="s5-1-1">
<title>Inflammation</title>
<p>NET biomarker concentrations exhibit strong correlations with both general systemic inflammatory markers and specific cytokines (e.g., IL-1&#x3b2;, IL-6) known to be critically involved in AAA pathogenesis [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B21">21</xref>]. This underscores the integral role of NETs within the inflammatory cascade driving AAA.</p>
</sec>
<sec id="s5-1-2">
<title>Oxidative stress</title>
<p>The significant correlation observed between oxPL/apoB (a biomarker reflecting oxidized phospholipids on apolipoprotein B-100 particles) and CitH3 suggests that oxidized lipids actively promote NETosis within the AAA milieu [<xref ref-type="bibr" rid="B17">17</xref>]. This process may constitute a significant mechanism contributing to disease progression.</p>
</sec>
<sec id="s5-1-3">
<title>VSMC dysfunction</title>
<p>NETs directly contribute to AAA wall weakening by inducing detrimental changes in VSMCs, including phenotypic switching, apoptosis, senescence, and ferroptosis. Consequently, elevated NET biomarker levels may indirectly reflect the extent of this crucial VSMC damage [<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>].</p>
</sec>
<sec id="s5-1-4">
<title>Gut microbiome dysbiosis</title>
<p>Alterations in the gut microbiota composition associated with AAA, such as reduced abundance of <italic>Roseburia intestinalis</italic>, have been linked to enhanced NET formation. Therefore, specific NET biomarker profiles may potentially reflect these underlying dysbiotic states [<xref ref-type="bibr" rid="B29">29</xref>].</p>
</sec>
</sec>
</sec>
<sec id="s6">
<title>Potential for monitoring therapeutic interventions</title>
<p>NET-derived biomarkers demonstrate significant promise as tools for monitoring responses to therapeutic interventions in AAA. Pharmacological strategies targeting NETosis&#x2014;including PAD4 inhibitors (e.g., YW3-56), DNase1, resolvin D1, and PDK inhibitors (e.g., dichloroacetate, DCA)&#x2014;consistently attenuate AAA progression in preclinical models. This therapeutic efficacy is paralleled by a measurable reduction in circulating NET biomarker levels, such as CitH3, cfDNA, and NE [<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B38">38</xref>]. Clinically, CitH3 levels decrease significantly following successful surgical AAA repair, underscoring their potential utility in tracking post-interventional outcomes [<xref ref-type="bibr" rid="B18">18</xref>]. Furthermore, emerging NET-targeting nanomedicine approaches (e.g., GlycoRNA nanoparticle-delivered siMT1 [GlycoRNA-NP-siMT1], lactoferrin-coated calcium dipicolinate nanoparticles [LaCD NP]) effectively reduce disease progression in preclinical AAA models [<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B38">38</xref>]. In these studies, the concomitant reduction in NET biomarkers serves as a critical quantitative readout for assessing treatment efficacy.</p>
<p>Despite these promising diagnostic and prognostic associations, the clinical translation of NET-derived biomarkers faces several challenges. Circulating levels of markers such as CitH3, cfDNA, MPO, and NE show marked heterogeneity across studies, influenced by variations in sample processing, detection methodologies, and patient cohort characteristics. The lack of standardized, validated assays and universally accepted clinical cut-off values currently prevents their routine application in clinical decision-making. Therefore, large-scale, multi-center prospective studies are crucial to harmonize detection protocols and definitively establish the utility of these biomarkers for risk stratification and monitoring therapeutic responses.</p>
<sec id="s6-1">
<title>Imaging biomarkers</title>
<p>Beyond circulating molecular biomarkers, emerging molecular imaging techniques offer the potential for direct, non-invasive visualization of NETosis <italic>in vivo</italic>. A promising approach utilizes anti-Ly6G antibody-conjugated superparamagnetic iron oxide nanoparticles (Ly6G-SPIONs) in conjunction with Magnetic Particle Imaging (MPI). This combined platform enables highly sensitive detection and quantification of neutrophil infiltration specifically within AAA lesions in murine models. Critically, the MPI signal intensity correlates strongly with AAA severity and exhibits a significant decrease following pharmacological inhibition of NETosis, demonstrating its utility as a dynamic imaging biomarker for disease activity and therapeutic response [<xref ref-type="bibr" rid="B37">37</xref>].</p>
</sec>
<sec id="s6-2">
<title>Therapeutic targeting of NETs in AAA</title>
<p>NETs have been established as key pathogenic drivers of AAA progression, orchestrating vascular inflammation, VSMC death, extracellular matrix degradation, and maladaptive vascular remodeling. These processes collectively weaken the aortic wall, ultimately driving aneurysm expansion and rupture risk. Therefore, pharmacologically targeting NET formation or activity has emerged as a promising therapeutic approach to mitigate AAA pathogenesis, as summarized in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Therapeutic targeting of NETs in AAA.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Therapeutic strategy</th>
<th align="left">Molecular target</th>
<th align="left">Intervention</th>
<th align="left">Mechanism</th>
<th align="left">Experimental outcomes</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">PAD4 inhibition</td>
<td align="left">PAD4</td>
<td align="left">Genetic deletion of <italic>Padi4</italic>; pharmacological inhibitors (e.g., Cl-amidine, YW3-56)</td>
<td align="left">Inhibits histone citrullination and NET formation</td>
<td align="left">Reduces NET release; reduces AAA formation/rupture; increases SMC contractility; reduces plasma citH3 (biomarker)</td>
<td align="left">[<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>]</td>
</tr>
<tr>
<td rowspan="2" align="left">Targeting NET components</td>
<td align="left">MT1</td>
<td align="left">GlycoRNA-NP-siMT1 nanoparticles</td>
<td align="left">Coated NPs deliver MT1 siRNA to AAA site. Competitively inhibits neutrophil infiltration &#x26; suppresses MT1 expression, inhibiting NET formation</td>
<td align="left">Reduces NET formation; reduces pathological remodeling; reduces aortic dilation</td>
<td align="left">[<xref ref-type="bibr" rid="B5">5</xref>]</td>
</tr>
<tr>
<td align="left">DPPI/NE/PR3</td>
<td align="left">Genetic deficiency; pharmacological inhibition</td>
<td align="left">DPPI activates NE/PR3, crucial for NET release. NE degrades DNA during NETosis</td>
<td align="left">Protects against AAA development</td>
<td align="left">[<xref ref-type="bibr" rid="B20">20</xref>]</td>
</tr>
<tr>
<td align="left">Immunometabolic reprogramming</td>
<td align="left">PDK</td>
<td align="left">DCA; PDK1-siRNA</td>
<td align="left">Corrects the skewed PDK/PDH axis metabolism</td>
<td align="left">Reduces NET release; reduces neutrophil infiltration; increases SMC contractile phenotype; prevents elastin breakdown; reduces AAA formation (&#x223c;58%)</td>
<td align="left">[<xref ref-type="bibr" rid="B23">23</xref>]</td>
</tr>
<tr>
<td align="left">PI3K&#x3b3; pathway inhibition</td>
<td align="left">PI3K&#x3b3;</td>
<td align="left">PI3K&#x3b3; inhibitors</td>
<td align="left">Acts upstream to promote NET formation through noncanonical pyroptosis (cAMP/PKA-dependent)</td>
<td align="left">Reduces NETosis; reduces aortic wall inflammation; ameliorates AAA</td>
<td align="left">[<xref ref-type="bibr" rid="B32">32</xref>]</td>
</tr>
<tr>
<td align="left">Pro-resolving mediators</td>
<td align="left">CerS6/C16-ceramide</td>
<td align="left">RvD1</td>
<td align="left">Inhibits CerS6/C16-ceramide synthesis, reducing NETosis</td>
<td align="left">Reduces NETosis (reduces CitH3, reduces NE); reduces AAA formation (elastase &#x26; Ang II models); reduces inflammation (e.g., IL-1&#x3b2;); reduces MMP activity</td>
<td align="left">[<xref ref-type="bibr" rid="B19">19</xref>]</td>
</tr>
<tr>
<td align="left">Anti-inflammatory nanotherapies</td>
<td align="left">General neutrophil inflammation/NETosis</td>
<td align="left">LaCD nanoparticles</td>
<td align="left">Intrinsically anti-inflammatory NPs accumulate in aneurysmal aorta, inhibiting neutrophil-mediated inflammation and NETosis</td>
<td align="left">Reduces NET formation; suppresses NET-driven inflammation &#x26; pathological remodeling; reduces AAA</td>
<td align="left">[<xref ref-type="bibr" rid="B38">38</xref>]</td>
</tr>
<tr>
<td rowspan="3" align="left">Targeting NET-induced SMC pathologies</td>
<td align="left">mitoGSH depletion/ferroptosis</td>
<td align="left">Ferrostatin-1; prevent mitoGSH depletion</td>
<td align="left">NETs induce SMC ferroptosis via reduces mitoGSH (destabilizing SLC25A11)</td>
<td align="left">Protects against AAA</td>
<td align="left">[<xref ref-type="bibr" rid="B27">27</xref>]</td>
</tr>
<tr>
<td align="left">SLC25A11/ferroptosis</td>
<td align="left">MSC-EVs</td>
<td align="left">Reduce NET release and inhibit NET-induced SMC ferroptosis</td>
<td align="left">Alleviates AAA</td>
<td align="left">[<xref ref-type="bibr" rid="B28">28</xref>]</td>
</tr>
<tr>
<td align="left">Hippo-YAP pathway/H3K4me3/H3K27me3</td>
<td align="left">Potential target implied</td>
<td align="left">NETs promote synthetic/proinflammatory SMC phenotypes via inhibiting Hippo-YAP and modulating histone marks (H3K4me3/H3K27me3) at gene promoters</td>
<td align="left"/>
<td align="left">[<xref ref-type="bibr" rid="B26">26</xref>]</td>
</tr>
<tr>
<td align="left">Microbiome modulation</td>
<td align="left">Gut dysbiosis/Butyrate levels</td>
<td align="left">
<italic>Roseburia intestinalis</italic> supplementation; butyrate</td>
<td align="left">Corrects dysbiosis, increases butyrate. Reduces NOX2-dependent NETosis</td>
<td align="left">Reduces neutrophil infiltration; reduces NETosis; reduces inflammation; reduces SMC phenotypic switching; reduces AAA</td>
<td align="left">[<xref ref-type="bibr" rid="B29">29</xref>]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Key Abbreviations: AAA, Abdominal Aortic Aneurysm; Ang II, Angiotensin II; cAMP, Cyclic Adenosine Monophosphate; CerS6, Ceramide Synthase 6; citH3, Citrullinated Histone H3; DCA, Dichloroacetate; DPPI, Dipeptidyl Peptidase I; EVs, Extracellular Vesicles; Hippo-YAP, Hippo pathway and Yes-Associated Protein; IL-1&#x3b2;, Interleukin-1 beta; mitoGSH, Mitochondrial Glutathione; MMP, Matrix Metalloproteinase; MSC, Mesenchymal Stem Cell; MT1, Metallothionein 1; NE, Neutrophil Elastase; NETs, Neutrophil Extracellular Traps; NOX2, NADPH Oxidase 2; NP, Nanoparticle; PAD4, Peptidyl Arginine Deiminase 4; PDH, Pyruvate Dehydrogenase; PDK, Pyruvate Dehydrogenase Kinase; PI3K&#x3b3;, Phosphoinositide 3-Kinase gamma; PKA, Protein Kinase A; PR3, Proteinase 3; RvD1, Resolvin D1; siRNA, small interfering RNA; SLC25A11, Mitochondrial Glutamate Carrier; SMC, Smooth Muscle Cell.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s6-3">
<title>PAD4 inhibition</title>
<p>PAD4 catalyzes histone citrullination, a critical step in NET formation [<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>]. Consequently, PAD4 represents a pivotal therapeutic target for NET-driven pathologies like AAA. Both genetic ablation of <italic>Padi4</italic> and pharmacological inhibition with compounds such as Cl-amidine or YW3-56 significantly suppress NET release in preclinical AAA models. This suppression translates to substantial therapeutic benefits, including attenuated AAA formation and rupture risk, alongside preserved VSMCs contractility [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>]. Importantly, plasma levels of citrullinated CitH3, a direct product of PAD4 activity and a specific NET biomarker, correlate with both AAA presence and aneurysm growth rate. Furthermore, CitH3 levels decrease significantly following successful surgical AAA repair. These findings not only highlight the utility of CitH3 as a sensitive biomarker for disease activity and therapeutic response but also provide compelling clinical validation for PAD4 as a viable therapeutic target in AAA [<xref ref-type="bibr" rid="B18">18</xref>].</p>
</sec>
</sec>
<sec id="s7">
<title>Targeting specific NET components</title>
<p>Metallothionein 1 (MT1) is significantly upregulated within human and murine AAA lesions, where it actively promotes NET formation [<xref ref-type="bibr" rid="B5">5</xref>]. To counteract this, glycoRNA-conjugated nanoparticles delivering MT1-targeting siRNA (GlycoRNA-NP-siMT1) achieve site-specific delivery to aneurysmal tissue. This nanotherapeutic platform effectively suppresses NET generation, pathological vascular remodeling, and aortic dilation through dual mechanisms: competitively inhibiting neutrophil infiltration while directly silencing pathogenic MT1 expression within inflammatory cells [<xref ref-type="bibr" rid="B5">5</xref>]. Parallel strategies target the proteolytic cascade centered on dipeptidyl peptidase I (DPPI/Cathepsin C), which activates NE and PR3 to drive NET release. Genetic deficiency in either DPPI or its downstream effectors confers protection against experimental AAA, confirming their non-redundant role in NET-driven pathogenesis [<xref ref-type="bibr" rid="B20">20</xref>]. Crucially, NE executes dual functions in this process&#x2014;facilitating NET chromatin decondensation through histone degradation while independently contributing to extracellular matrix destruction within the aortic wall [<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B20">20</xref>].</p>
<sec id="s7-1">
<title>Immunometabolic reprogramming</title>
<p>Targeting the dysregulated PDK/pyruvate dehydrogenase (PDK/PDH) axis through inhibition of PDK&#x2014;using either DCA or PDK1-targeting siRNA&#x2014;is a potent immunometabolic intervention for AAA. This metabolic reprogramming effectively suppresses NET release and reduces pathological neutrophil infiltration into the aortic wall. Concurrently, it preserves the contractile phenotype of SMCs and prevents elastin degradation. Collectively, these mechanisms attenuate AAA progression by approximately 58%, as evidenced by significant reduction in aortic dilation in preclinical models [<xref ref-type="bibr" rid="B23">23</xref>].</p>
</sec>
<sec id="s7-2">
<title>PI3K&#x3b3; pathway inhibition</title>
<p>PI3K&#x3b3; functions as an upstream regulator of NET formation in AAA, driving this process through a noncanonical pyroptosis pathway dependent on cAMP/PKA signaling activation. Pharmacological inhibition of PI3K&#x3b3; significantly reduces NETosis, attenuates inflammatory cell infiltration within the aortic wall, decreases pro-inflammatory cytokine production, and ultimately ameliorates key AAA pathological features including vascular remodeling and aneurysm expansion in preclinical models [<xref ref-type="bibr" rid="B32">32</xref>].</p>
</sec>
<sec id="s7-3">
<title>Resolvin D1 (RvD1)</title>
<p>RvD1, a specialized pro-resolving lipid mediator derived from docosahexaenoic acid (DHA), potently suppresses NET formation by inhibiting ceramide synthase 6 (CerS6)-dependent C16-ceramide biosynthesis. This molecular intervention significantly reduces key NET components including CitH3 and NE. Therapeutic administration of RvD1 attenuates AAA progression in both elastase-perfusion and angiotensin II (Ang II)-induced murine models. The protective effects are mediated through substantial reductions in pro-inflammatory cytokines (e.g., IL-1&#x3b2;) and matrix metalloproteinase (MMP-2/MMP-9) activity, collectively preserving vascular structural integrity [<xref ref-type="bibr" rid="B19">19</xref>].</p>
</sec>
<sec id="s7-4">
<title>Anti-inflammatory nanotherapies</title>
<p>Engineered nanoparticles with inherent anti-inflammatory properties, exemplified by lactoferrin-coated calcium dipicolinate nanoparticles (LaCD NPs), demonstrate targeted biodistribution to aneurysmal aortic tissue. This nanotherapeutics effectively suppresses neutrophil-mediated inflammation through inhibition of NLRP3 inflammasome activation and subsequent IL-1&#x3b2; release. Crucially, they potently attenuate NETosis, thereby interrupting the self-perpetuating cycle of NET-driven inflammation. This dual-action mechanism significantly reduces pro-inflammatory cytokine cascades and pathological vascular remodeling, establishing LaCD NPs as promising targeted therapeutics for abdominal aortic aneurysm intervention [<xref ref-type="bibr" rid="B38">38</xref>].</p>
</sec>
<sec id="s7-5">
<title>Targeting NET-Induced SMC pathologies</title>
<p>NETs drive SMC ferroptosis by destabilizing the mitochondrial glutamate carrier SLC25A11, resulting in depletion of mitochondrial glutathione (mitoGSH). This metabolic disruption compromises cellular redox homeostasis and promotes iron-dependent cell death. Therapeutic prevention of mitoGSH depletion or pharmacological inhibition of ferroptosis pathways&#x2014;using specific inhibitors such as ferrostatin-1&#x2014;confers significant protection against AAA development in preclinical models [<xref ref-type="bibr" rid="B27">27</xref>]. Additionally, mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) represent a complementary approach, as they simultaneously suppress NET release and directly inhibit NET-induced SMC ferroptosis, thereby attenuating AAA progression [<xref ref-type="bibr" rid="B28">28</xref>]. Beyond ferroptosis, NETs additionally promote pathological SMC phenotypic switching toward synthetic and proinflammatory states. This transition is mechanistically linked to NET-mediated inhibition of the Hippo-YAP signaling pathway and epigenetic dysregulation through altered histone methylation marks (specifically reduced H3K4me3 and elevated H3K27me3) at promoters of contractile apparatus genes [<xref ref-type="bibr" rid="B26">26</xref>].</p>
</sec>
<sec id="s7-6">
<title>Microbiome modulation</title>
<p>Gut dysbiosis represents a significant pathogenic contributor to AAA development, characterized by depletion of <italic>Roseburia intestinalis</italic> and reduced butyrate production. Therapeutic restoration of microbial homeostasis through <italic>Roseburia intestinalis</italic> supplementation or direct butyrate administration effectively suppresses neutrophil infiltration into the aortic wall, inhibits NOX2-dependent NETosis, attenuates pro-inflammatory cytokine cascades, and prevents pathological SMC phenotypic switching. These coordinated mechanisms collectively reduce aortic dilation by &#x3e;50% in preclinical models, demonstrating the therapeutic potential of microbiome modulation in AAA management [<xref ref-type="bibr" rid="B29">29</xref>].</p>
</sec>
</sec>
<sec sec-type="discussion" id="s8">
<title>Discussion</title>
<p>The clinical translation of NET-targeting therapies faces significant hurdles. Current preclinical models&#x2014;particularly acute angiotensin II infusion in mice which induces AAA over weeks&#x2014;fail to adequately recapitulate the slow, smoldering inflammation that characterizes human AAA progression over years or decades [<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>]. Further complicating translation, the therapeutic efficacy of many NET inhibitors is thrombus-dependent, necessitating validation in models that faithfully mimic human disease progression timelines.</p>
<p>Therapeutic specificity and safety remain paramount. Furthermore, the therapeutic suppression of NETosis raises legitimate concerns regarding the impairment of innate antimicrobial defense. Systemic inhibition of neutrophil function, for instance via PAD4 blockade or DNase administration, could potentially increase susceptibility to infections. Therefore, achieving cell- and context-specificity&#x2014;for example, through localized delivery systems such as nanoparticles or the development of inhibitors targeting disease-specific NET components&#x2014;is paramount to maximizing safety. Patient stratification based on infection risk and immunocompetence will also be a crucial consideration for future clinical application. While PAD4 inhibitors show promise due to functional redundancy in host immunity, targeting downstream effectors (e.g., SMC ferroptosis pathways) may offer superior safety profiles.</p>
<p>NET heterogeneity&#x2014;driven by stimulus-specific activation, disease stage, and anatomically distinct microenvironments&#x2014;demands precision interventions tailored to individual pathological contexts [<xref ref-type="bibr" rid="B44">44</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>]. Validation of NET biomarkers (e.g., CitH3, cfDNA) through large-scale longitudinal clinical studies is imperative for robust diagnostic and prognostic applications. Spatially resolved multi-omics approaches combined with advanced molecular imaging (e.g., Ly6G-NP-MPI) will enable comprehensive mapping of NET spatiotemporal dynamics within AAA microenvironments.</p>
<p>Future success will require: (1) Combinatorial strategies concurrently targeting NETs and complementary pathogenic pathways (e.g., MMPs, cytokine networks, renin-angiotensin signaling), (2) Prioritization of interventions for established aneurysms rather than prevention-only paradigms, and (3) Identification of NET-driven patient endotypes (e.g., high-CitH3 phenotypes, rapid progressors) to enable personalized therapeutic stratification.</p>
<p>The promising preclinical data now necessitate a decisive transition to clinical validation. Future success is contingent upon initiating early-phase human trials to evaluate the safety, tolerability, and bioactivity of NET-inhibiting agents. These studies should prioritize patient populations with a high unmet need, such as those with rapidly expanding aneurysms, and utilize the emerging NET-related biomarkers (e.g., plasma CitH3) for patient enrichment and pharmacodynamic assessment.</p>
</sec>
<sec id="s9">
<title>Summary</title>
<p>NETs are emerging as key regulators within the multifactorial network of AAA pathogenesis, integrating neutrophil activation with SMC death, ECM degradation, inflammation, thrombosis, and metabolic reprogramming. Their consistent detection in human AAA tissues and circulation, coupled with strong correlations to disease severity and expansion, underscores their clinical relevance. Preclinical strategies targeting NET formation, degradation, and their downstream effects demonstrate robust efficacy in attenuating AAA progression, with nanotechnology offering promising avenues for enhanced site-specific delivery.</p>
<p>Despite this promise, translating these findings necessitates focused future efforts. First, the clinical utility of NET-derived biomarkers requires validation in large-scale, longitudinal cohorts to establish standardized thresholds for risk stratification. Second, the refinement of targeted delivery systems is crucial to maximize therapeutic efficacy while minimizing systemic impact on host defense. Third, combination therapies concurrently targeting NETs and complementary pathways (e.g., MMPs, renin-angiotensin system) should be explored to achieve synergistic effects in established aneurysms. Finally, identifying NET-driven patient endotypes will be essential for personalizing therapeutic interventions. By addressing these priorities, NETosis inhibition can evolve from a compelling preclinical concept into a viable clinical strategy for stabilizing AAA.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s10">
<title>Author contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec sec-type="COI-statement" id="s12">
<title>Conflict of interest</title>
<p>The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="ai-statement" id="s13">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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 sec-type="supplementary-material" id="s14">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.ebm-journal.org/articles/10.3389/ebm.2025.10781/full#supplementary-material">https://www.ebm-journal.org/articles/10.3389/ebm.2025.10781/full&#x23;supplementary-material</ext-link>
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