ABSTRACT
Atherosclerosis is a chronic inflammatory disease of the arterial wall and the leading pathological basis of cardiovascular morbidity and mortality worldwide. Neutrophil extracellular traps (NETs), web‐like chromatin structures armed with histones, myeloperoxidase, and serine proteases, have emerged as active participants in vascular inflammation and thrombosis. Under physiological conditions, NETs contribute to host defense and immunothrombosis, but excessive or persistent NET formation drives endothelial injury, plaque progression, and acute coronary events. However, how NETs shift from protective to pathological across the atherosclerotic continuum, and how their individual components cooperate to amplify vascular damage, remain insufficiently understood. This review explores NET homeostasis in the cardiovascular system and the balance between protective and pathological NET release. We then describe the molecular mechanisms of NET formation and the cooperative actions of NET components as an integrated thrombo‐inflammatory platform. Next, we discuss stage‐specific NET roles throughout atherogenesis, plaque destabilization, and ischemia–reperfusion injury. Finally, we evaluate clinical and translational evidence linking NET biomarkers to cardiovascular outcomes and critically assess precision‐targeted NET therapies. This framework highlights NETs as both mechanistic drivers and promising therapeutic targets in atherosclerotic cardiovascular disease.
Keywords: atherosclerosis, cardiovascular disease, immunothrombosis, neutrophil extracellular traps, precision therapy
NETs as integrated effectors in the atherosclerotic cardiovascular disease continuum. Activated neutrophils release NETs that promote endothelial injury, thrombo‐inflammation, and plaque destabilization throughout atherosclerotic disease progression. Created with BioRender.com.

1. Introduction
Atherosclerosis (AS) remains the pathological basis of most ischemic cardiovascular events and continues to impose a major global health burden [1, 2]. It is now recognized not as a passive disorder of lipid deposition, but as a chronic inflammatory disease of medium and large sized arteries in which dysregulated lipid handling, endothelial injury, immune activation, fibrous remodeling, and calcification evolve in parallel [3, 4]. As plaques progress, they become increasingly prone to erosion, rupture, and thrombosis, thereby driving myocardial infarction(MI), stroke, and other major adverse cardiovascular events [5, 6].
Neutrophil extracellular traps (NETs) have emerged as an important link between innate immunity and vascular injury in AS [7, 8]. NETs are extracellular web‐like structures composed of decondensed chromatin decorated with histones and neutrophil‐derived effector proteins [7]. Their formation can be triggered through several pathways, among which reactive oxygen species (ROS) generation and peptidylarginine deiminase 4 (PAD4)‐dependent chromatin decondensation remain central mechanisms [9]. NETs are involved in pathological processes associated with various diseases, such as autoimmune diseases [10], chronic inflammatory diseases [11, 12, 13], diabetes [14], Alzheimer's disease [15], and cancer [16]. In the atherosclerotic milieu, NETs do more than mark neutrophil activation [17]. They amplify sterile inflammation, injure endothelial cells, activate macrophage inflammatory programs, promote plaque progression, and foster immunothrombosis. Recent reviews also support a role for NETs in shaping a plaque microenvironment that favors lipid accumulation and foam cell formation, although the contribution of individual NET‐associated components appears to be context dependent [18, 19].
Although research on NETs in the cardiovascular system has expanded considerably, many aspects of their biology remain incompletely understood. Their effects are unlikely to be uniform across disease stages, and the relative contribution of the intact NET scaffold versus individual NET‐associated mediators still requires clearer definition. In this review, we examine NET biology across the continuum of atherosclerotic cardiovascular disease (CVD), from vascular homeostasis to plaque progression, thrombosis, and postinfarction remodeling. Rather than discussing NET components as isolated entities, we emphasize their cooperative functions, disease‐stage specificity, and translational implications. This framework aims to clarify what makes NETs a distinct driver of cardiovascular pathology and where their biology may be therapeutically actionable.
2. NETs in Cardiovascular Homeostasis
Before examining how dysregulated NET formation contributes to vascular disease, it is essential to understand the role of NETs under physiological conditions. This section outlines the homeostatic functions of NETs in the cardiovascular system. We first describe their protective roles in host defense and vascular surveillance (Section 2.1), then define the thresholds that separate beneficial from pathological NET formation (Section 2.2), summarize the regulatory mechanisms that maintain NET homeostasis (Section 2.3), and finally consider how this balance shapes cardiovascular immune equilibrium (Section 2.4). Framing NETs first as physiological effectors provides the basis for understanding their later transition toward a pathological phenotype in AS.
2.1. Physiological Roles in Host Defense and Vascular Surveillance
NETs were first identified as a defense mechanism against invading pathogens [20]. Under physiological conditions, their formation is tightly regulated. NETs immobilize and neutralize bacteria, fungi [21], protozoa [22], and viruses [23] through the antimicrobial proteins embedded within their chromatin scaffold. Rather than killing pathogens directly in every case, NETs concentrate these effectors at infection sites and create a localized killing zone that works alongside phagocytosis to prevent systemic spread [24, 25]. Moreover, neutrophils are now recognized as active participants in immune surveillance and tissue homeostasis. Homeostatic neutrophil populations have been identified in uninfected lymph nodes [10], and neutrophil–endothelial interactions are central to leukocyte recruitment during sterile inflammation and vascular stress [11]. Recent evidence shows that dietary fluctuations can reprogram bone marrow granulopoiesis and alter neutrophil phenotypes in ways that directly influence vascular inflammation [12, 13]. These observations suggest that tightly regulated neutrophil activation may contribute to vascular immune surveillance [14], though whether this reflects a dedicated homeostatic program or an early response to subclinical injury has not been directly established. The close relationship between innate immune activation and hemostatic regulation further implies that neutrophil responses may influence endovascular integrity [15, 16], but the specific contribution of NETs under nonpathological conditions remains incompletely understood.
2.2. Thresholds Between Protective and Pathological NET Formation
Whether NET formation confers protection or drives tissue injury depends on the balance between induction strength and clearance efficiency (Figure 1). Under normal conditions, moderate stimulation triggers a controlled NET response that resolves once the danger signal is eliminated through enzymatic degradation and phagocytic clearance [17, 26, 27]. This balance breaks down in AS. The arterial wall in atherosclerotic disease contains multiple stimuli that push neutrophils toward sustained NET formation. Oxidized low‐density lipoprotein (oxLDL) and related oxidized phospholipids can promote NET release, while cholesterol crystals provide an additional trigger that links lipid accumulation to neutrophil activation [28, 29]. Activated platelets further amplify this response through platelet–neutrophil crosstalk [30]. Disturbed blood flow at arterial branch points amplifies endothelial activation and neutrophil recruitment [31]. Cardiometabolic risk factors lower this threshold even further. Diabetes primes neutrophils for exaggerated NET formation [32], hypercholesterolemia impairs NET clearance [33], and tobacco exposure has also been linked to enhanced NET formation [34]. As a result, the problem in AS is not only increased NET generation, but also prolonged NET residence within the vascular compartment.
FIGURE 1.

Protective‐to‐pathological transition of NETs in vascular homeostasis and atherosclerosis. Under physiological conditions, DNase‐mediated degradation and macrophage phagocytosis resolve NETs and maintain vascular homeostasis. In atherosclerosis, oxLDL, cholesterol crystals, activated platelets, and disturbed flow promote sustained NET formation, while impaired clearance by foam cells allows NET persistence, shifting NETs from a transient defense response to a chronic driver of vascular inflammation. *Created with BioRender.com. DNase, deoxyribonuclease; oxLDL, oxidized low‐density lipoprotein; NET, neutrophil extracellular trap; PAD4, peptidylarginine deiminase 4; ROS, reactive oxygen species.
At the same time, the capacity to clear NET remnants declines through multiple converging mechanisms [33, 35, 36]. The outcome is not simply more NETs, but NETs that persist in a state mechanistically distinct from the transient physiological response. Several molecular factors set this threshold. The two principal intracellular drivers of NET formation, PAD4‐mediated histone citrullination and ROS generation, are both elevated under diabetic and hyperlipidemic conditions [37]. ROS production scales with stimulus strength, amplifying NET release in proportion to the inflammatory insult [38]. Together, these factors create an individual inflammatory set point that varies with metabolic status, which may help explain the wide interpatient variability in NET‐associated cardiovascular outcomes.
2.3. Regulatory Mechanisms Maintaining NET Homeostasis
Several mechanisms work in parallel to resolve NET formation and prevent the buildup of immunostimulatory debris. Circulating DNase I degrades the DNA backbone of NETs, breaking down the chromatin scaffold and limiting the availability of NET‐associated danger signals [17, 30, 39]. DNASE1L3, produced by macrophages and dendritic cells, handles protein‐bound DNA that DNase I cannot efficiently process. DNASE1L3 deficiency is linked to autoimmune disease, and recent studies have also connected it to features of accelerated vascular inflammation [40, 41, 42, 43]. Within atherosclerotic plaques, the oxidative and protease‐rich environment may impair enzymatic degradation of NET components, allowing transient scaffolds to become more persistent. A study showed that NET protein components can adhere to vascular endothelium for months after a single inflammatory insult, while detached extracellular DNA continues to circulate over even longer periods [44]. These findings underscore the difficulty of clearing NET remnants from the vascular compartment once they form.
Macrophages provide a parallel line of defense by engulfing NET remnants through scavenger receptor‐dependent phagocytosis. This capacity is compromised in the lipid‐loaded foam cells that populate atherosclerotic lesions [33, 45]. Anti‐inflammatory cytokines such as interleukin‐10 (IL‐10) and transforming growth factor‐β (TGF‐β) normally suppress neutrophil activation during the resolution phase, but these pathways are blunted by the persistent inflammatory environment of advanced plaques [46]. Endothelial signaling also contributes to restraining neutrophil responses under resting conditions, though which molecular checkpoints are involved and how they fail during atherogenesis requires further study [47]. Regulatory T cells have been proposed to suppress NETosis through immunosuppressive mediators [48], but their specific role in the atherosclerotic vascular bed remains to be established.
When these mechanisms fail together as they do in advanced AS, the result is a vascular environment in which NETs accumulate rather than resolve, shifting from a transient immune response to a sustained driver of inflammation.
2.4. Implications for Cardiovascular Immune Balance
The preceding sections establish that the pathogenic impact of NETs in AS arises from the mismatch between sustained formation and impaired clearance, rather than from overproduction alone. This imbalance may not be merely a consequence of established disease. Notably, contrary to earlier models depicting low NET abundance in initial lesions, recent evidence indicates that NETs are abundant during early atherogenesis and may precede the transition to macrophage‐dominated extracellular traps in more advanced lesions [29, 49, 50]. Early defects in NET clearance and chronic neutrophil priming could therefore act as permissive contributors during subclinical atherogenesis, amplifying low‐grade vascular inflammation before overt plaque formation becomes morphologically evident [51, 52]. Thus, restoring NET homeostasis, rather than simply blocking NET formation may represent a more physiologically appropriate therapeutic target.
3. Molecular Mechanisms of NET Formation and Regulation
Collectively, NET formation can be understood as a multilayered process that integrates metabolic priming, ROS‐dependent signaling, chromatin remodeling, and regulated membrane rupture. These events form a hierarchical cascade rather than independent modules, and the specific stimulus, metabolic state, and tissue context determine the extent and mode of NET release. Recent studies have clarified the metabolic requirements, epigenetic regulators, and cell death pathways that shape this process, with growing relevance to thrombo‐inflammatory diseases such as AS. In this section, we discuss the cellular and metabolic drivers of NET formation, the role of PAD4 in chromatin remodeling, and the emerging crosstalk between NET formation and other regulated cell death pathways (Figure 2B).
FIGURE 2.

Mechanisms and regulatory pathways of NET formation. (A) Lytic and nonlytic pathways of NET release. In the lytic pathway, PAD4‐mediated chromatin decondensation leads to membrane rupture and neutrophil cytolysis. In the nonlytic pathway, chromatin or mitochondrial DNA is extruded via vesicles, preserving cell viability. (B) Integrated signaling networks driving NET formation. Diverse stimuli engage surface receptors and activate downstream kinases, converging on ROS production, calcium flux, PAD4‐mediated histone citrullination, and chromatin decondensation, ultimately leading to NET formation. Key pharmacological targets are indicated. *Created with BioRender.com. DAMP, damage‐associated molecular pattern; GSDMD, gasdermin D; MPO, myeloperoxidase; mROS, mitochondrial ROS; NE, neutrophil elastase; PAD4, peptidylarginine deiminase 4; ROS, reactive oxygen species; TLR, Toll‐like receptor.
3.1. Cellular and Metabolic Drivers of NET Formation
As described above, NET formation can proceed through lytic (suicidal) or vital (nonlytic) pathways, each with distinct signaling requirements (Figure 2). Suicidal NETosis depends heavily on nicotinamide adenine dinucleotide phosphate (NADPH) oxidase‐generated ROS, including superoxide and hydrogen peroxide [53, 54]. Neutrophils from patients with chronic granulomatous disease, who carry mutations that impair NADPH oxidase function, fail to undergo this form of NET release [54]. In contrast, when neutrophils are stimulated through NADPH oxidase‐independent routes, mitochondria‐derived ROS become the major oxidative source for NET production [55, 56]. Vital NET formation occurs more rapidly, typically within 5–60 min, and preserves membrane integrity and cell viability [57, 58]. A mechanistically distinct nonlytic pathway, first identified in 2009 by Yousefi et al., involves the selective externalization of mitochondrial DNA (mtDNA) rather than nuclear chromatin, in an ROS‐dependent manner [59, 60]. Although both processes are nonlytic, mtDNA‐based extracellular traps differ from nuclear DNA‐based vital NETs in their composition and the signaling pathways involved. In this process, glutathionylation of cytoskeletal proteins, particularly actin and microtubules, regulates the structural rearrangements required for the catapult‐like expulsion of mtDNA [61]. Deficiency of glutaredoxin 1, the primary deglutathionylating enzyme, impairs cytoskeletal dynamics and prevents mtDNA release [62]. Mitochondria and glycolytic adenosine triphosphate (ATP) supply the energy for this process [63, 64].
In addition to ROS production, metabolic reprogramming is increasingly recognized as a prerequisite for NET formation. NET formation is strictly dependent on glucose through the glycolytic pathway. In vitro studies show that neutrophils stimulated in glucose‐free media undergo early chromatin decondensation but fail to complete NET release; restoration of glucose permits NET extrusion within minutes [65]. Treatment with the glycolysis inhibitor 2‐deoxyglucose completely abolishes NET release [66]. However, this dependence on glucose is not universal. Immature low‐density neutrophils can sustain NET formation under glucose‐deprived conditions by utilizing glutamate and proline catabolism for mitochondrial‐dependent ATP production [67]. Pentose phosphate pathway activity also increases during NET formation, supplying NADPH as a substrate for NADPH oxidase and thereby sustaining ROS generation [68, 69]. Recent work has further demonstrated that hypoxia‐inducible factor 1α (HIF‐1α)‐dependent glycolytic reprogramming enhances NET formation under hypoxic conditions, and that pharmacological inhibition of HIF‐1α or glucose uptake markedly reduces NET formation [70]. At the signaling level, the PI3K/Akt and ERK/JNK pathways serve as central switches. Akt promotes NET formation over apoptosis in a ROS‐dependent fashion [71], whereas JNK signaling contributes to the metabolic shift that licenses NET release [72]. Downstream of these metabolic and oxidative signals, neutrophil elastase (NE) and myeloperoxidase (MPO) function as key executors [73]. MPO facilitates NE release from azurophilic granules upon ROS exposure, and NE then translocates to the nucleus to partially degrade histones and drive chromatin decondensation [74, 75, 76]. These metabolic and signaling events are of particular relevance in AS, where hypoxic, glucose‐rich microenvironments within plaques may preferentially promote NET formation and sustain vascular inflammation [77].
3.2. PAD4 Activation, Chromatin Decondensation, and Nuclear Remodeling
PAD4 is the only nuclear‐localized member of the peptidylarginine deiminase family and is the principal enzyme responsible for histone citrullination during NET formation [78]. PAD4 converts arginine residues on histones H3 and H4 to citrulline, neutralizing their positive charge. This eliminates the electrostatic and hydrogen‐bond interactions between histones and DNA, leading to chromatin relaxation [79, 80]. PAD4 activity is strictly Ca2 + dependent. Elevated intracellular calcium induces conformational changes in the enzyme that expose its catalytic site, as demonstrated in vitro [81, 82, 83]. The downstream consequences of histone citrullination are not just simple charge neutralization. Citrullination of H3R8 generates a dual modification (H3Cit8K9me3) that displaces heterochromatin protein 1β (HP1β), promoting heterochromatin decondensation and enabling large‐scale chromatin unfolding [81]. High‐resolution time‐lapse microscopy of neutrophils undergoing NET formation has revealed a stereotyped sequence of nuclear events, including rapid actin cytoskeleton disassembly, microtubule and vimentin remodeling, nuclear lamin meshwork discontinuity, nuclear envelope rupture, DNA release into the cytoplasm, and finally plasma membrane rupture with extracellular chromatin discharge [83]. Importantly, both the citrullination activity and the nuclear localization signal of PAD4 are required for efficient NET formation, confirming that PAD4 must act within the nucleus to drive chromatin decondensation [83].
PAD4 does not act alone. Calpain, a Ca2 +‐activated protease, cooperates with PAD4 by cleaving nuclear lamins and chromatin‐bound proteins [84]. Pharmacological or genetic inhibition of either PAD4 or calpain strongly blocks chromatin decondensation in both human and mouse neutrophils, indicating that citrullination licenses calpain‐mediated proteolysis at the nuclear envelope [85]. This cooperation ensures that chromatin decondensation is tightly coupled to nuclear lamina breakdown, allowing efficient NET extrusion. It should be noted that PAD4‐independent NET formation has been reported under specific stimuli, such as those engaging calcium ionophore pathways or certain NADPH oxidase‐dependent routes [86], suggesting that the requirement for PAD4 may be context dependent rather than absolute.
From a disease perspective, these chromatin remodeling events are particularly relevant in thrombo‐inflammatory settings. In atherosclerotic lesions, citrullinated histone H3‐positive NETs have been identified within both plaques and coronary thrombi, and PAD4 deficiency or pharmacological inhibition significantly delays arterial thrombosis in models of superficial erosion, although its effect on chronic plaque size appears limited [87]. These findings suggest that PAD4‐driven chromatin remodeling is not only a molecular hallmark of NET formation but also a potential therapeutic node in CVD.
3.3. Crosstalk Between NETosis, Apoptosis, and Pyroptosis
It is reported that lytic NET formation can be viewed as a distinct form of programmed necrotic cell death, which intersects with multiple regulated cell death pathways. Although traditionally regarded as a distinct death modality, NETosis shares key signaling nodes with apoptosis and pyroptosis, and the boundaries among these pathways are now recognized as context dependent. Rather than functioning as entirely separate programs, NETosis can be more accurately viewed as a distinct but partially overlapping cell death pathway that converges with apoptotic and pyroptotic signaling through shared effectors.
Apoptosis and NETosis are generally considered mutually exclusive outcomes of neutrophil activation [88]. ROS can initiate both processes, but the Akt and JNK pathways determine which pathway predominates [88]. phorbol 12‐myristate 13‐acetate (PMA)‐induced NADPH oxidase activation generates large amounts of cytosolic ROS, which activate Akt to promote NETosis while simultaneously suppressing apoptotic signaling [71, 89]. However, a study has challenged the traditional independence of these two pathways. Zhu et al. demonstrated that apoptotic signaling engages PAD4, establishing a cellular state primed for NETosis that occurs upon membrane disruption by gasdermin E (GSDME), suggesting that NETosis may represent a default secondary death program in apoptotic neutrophils that are not promptly cleared [78]. Autophagy represents another regulatory node. It can facilitate NETosis independently of ROS‐dependent mechanisms [90], and its interplay with lipid metabolism may further modulate the balance between NET formation and other death programs [91].
The relationship between gasdermin D (GSDMD) and NETosis has become a focus of active debate. Two landmark studies in 2018 reported that GSDMD is cleaved during NETosis and that its pore‐forming activity is required for NET release [92, 93]. In this model, Caspase‐11 activates GSDMD, which then permeabilizes both nuclear and plasma membranes, promotes NE release from azurophilic granules, and facilitates PAD4 activation by altering the cellular ion gradient [94]. However, this view has been challenged. Chauhan et al. demonstrated that PMA‐induced NETosis proceeds normally in GSDMD‐deficient neutrophils, although GSDMD remains important for canonical inflammasome‐driven pyroptosis [95]. More directly, Stojkov et al. showed that mouse neutrophils lacking GSDMD are fully competent in producing NETs in response to multiple physiological stimuli, including C5a, lipopolysaccharide (LPS), and canonical inflammasome activation, and that GSDMD is not cleaved during these responses [96]. These findings indicate that GSDMD is dispensable for NET formation under many physiological stimuli, though it may contribute in specific pathogen‐driven or noncanonical inflammasome contexts.
Furthermore, GSDME has recently been identified as a regulator of neutrophil pyroptosis [97]. Loss of GSDME specifically inhibits pyroptosis and redirects neutrophil death toward apoptosis [98]. Moreover, microvesicles from pyroptotic macrophages can transfer GSDMD‐N fragments and mitochondrial components to neutrophils, increasing intracellular ROS and accelerating NET formation, which in turn amplifies inflammation through a positive feedback loop [99]. A recent comprehensive review on regulated cell death in neutrophils has proposed that apoptosis, NETosis, and pyroptosis may converge on gasdermin activation as a common terminal effector, with the mode of death determined by the specific gasdermin member engaged and the threshold of pore formation achieved [88]. Together, these findings highlight a broader principle: NETosis, pyroptosis, and apoptosis are not isolated pathways but are connected through shared effectors including ROS, calcium flux, and gasdermin family members. The stimulus type, intracellular metabolic state, and tissue context collectively determine which pathway prevails in a given neutrophil. In the context of AS, where both sterile inflammation and metabolic stress coexist, this crosstalk may influence whether neutrophils undergo immunologically silent apoptosis or lytic NET release that amplifies plaque inflammation. Understanding these interconnections may inform the rational design of therapeutic strategies. For example, targeting PAD4 or gasdermin pores could selectively modulate NET formation, while preserving apoptotic clearance that promotes inflammation resolution. The relative contribution of each pathway in different stages of AS warrants further investigation.
4. Functional Architecture of NETs: Cooperative Actions of NET Components
The preceding sections established that NETs form through distinct molecular pathways. Once released, the biological impact of NETs depends not on any single component acting alone, but on the coordinated actions of their diverse constituents. This section adopts a mechanism‐oriented framework organized around four functional themes: (i) the DNA scaffold as a thrombo‐inflammatory platform, (ii) proteolytic and oxidative effectors, (iii) NET‐associated damage‐associated molecular patterns (DAMPs) and immune amplification, and (iv) the integrated, multitarget effects of these components on the atherosclerotic vessel wall. Throughout, we distinguish between evidence obtained directly from atherosclerotic tissues and supportive observations derived from thrombosis, stroke, or vascular injury models. A central concept throughout this discussion is that the NET scaffold concentrates and codelivers effector molecules at the endothelial surface, generating spatiotemporally organized, high‐density microenvironments that are unlikely to be achieved by soluble mediators diffusing freely in the circulation.
4.1. Structural Scaffolds and Thrombo‐Inflammatory Platforms
The DNA backbone of NETs is not a passive structural element. It provides a spatially organized surface on which prothrombotic and proinflammatory molecules concentrate, and this colocalization is central to the pathogenic potency of NETs (Figure 3A). DNA itself has limited direct cytotoxicity toward endothelial cells (ECs). Its primary contribution lies in binding and concentrating procoagulant molecules, including von Willebrand factor (VWF), fibrinogen, fibronectin, factor XII, and tissue factor, at a single interface [100]. By anchoring these factors in close proximity, the NET scaffold physically entraps platelets, red blood cells, and other circulating cells within the developing thrombus. Much of this evidence comes from in vitro reconstitution experiments and venous thrombosis models [101]. However, the detection of NET–fibrin composites in coronary thrombi from patients with acute myocardial infarction(AMI) supports the relevance of this scaffold function in arterial settings [102]. The scaffold also enables cooperative signaling between its constituents. Histones H3 and H4 decorate the DNA mesh and promote platelet activation through complement C3b deposited on NETs, which engages complement receptor 1 receptors on platelets [103]. Histones and DNA together activate Toll‐like receptor 4 (TLR4) more efficiently than either component alone, likely because their copresentation on the scaffold facilitates receptor engagement [104]. This cooperativity illustrates a general principle. The NET scaffold codelivers ligands in spatial configurations that amplify downstream signaling beyond what individual soluble components typically achieve. Moreover, the resistance of intact NETs to rapid enzymatic degradation confers temporal persistence, allowing these spatially organized signals to act over hours rather than the minutes characteristic of soluble mediator bursts.
FIGURE 3.

Contributions of NET‐derived components to atherosclerosis. NETs promote vascular inflammation, thrombosis, and matrix remodeling through distinct effectors. (A) DNA activates cGAS–STING pathway and AIM2 inflammasomes, triggering Type I interferon responses. (B) MPO oxidizes LDL, generates ROS, and reduces endothelial NO, driving foam cell formation. (C) HMGB1 stimulates macrophage NF‐κB signaling and sustains NET‐driven inflammation. (D) NE degrades anticoagulants, induces endothelial apoptosis, and remodels the extracellular matrix. (E) Cathepsin G activates platelets and processes cytokines, enhancing endothelial activation. (F) LL‐37 induces smooth muscle cell apoptosis and inflammatory signaling, and stabilizes NETs. (G) MMPs degrade matrix, activate endothelium, and promote smooth muscle migration. (H) Histones trigger endothelial damage, NLRP3 inflammasome activation, and IL‐6 release. (I) DEFA1‐3 damage endothelium, modulate macrophages, and affect vascular tone. *Created with BioRender.com. CG, cathepsin G; cGAS, cyclic GMP–AMP synthase; DEFA, defensins; EC, endothelial cell; HMGB1, high‐mobility group box 1; IL, interleukin; LDL, low‐density lipoprotein; MMP, matrix metalloproteinase; MPO, myeloperoxidase; NE, neutrophil elastase; NET, neutrophil extracellular trap; NF‐κB, nuclear factor kappa‐light‐chain‐enhancer of activated B cells; PAR, protease‐activated receptor; pDC, plasmacytoid dendritic cell; ROS, reactive oxygen species; SMC, smooth muscle cell; TFPI, tissue factor pathway inhibitor.
Unlike nuclear DNA, mtDNA carries a bacteria‐like hypomethylation pattern recognized by the innate immune system as a DAMP [105]. Both native and oxidized mtDNA induce NET formation, and the resulting NLRP3 inflammasome activation causes further mitochondrial injury, releasing additional damaged mtDNA in a positive feedback loop [106]. In atherosclerotic tissues specifically, mtDNA damage correlates with lesion burden and, in human cohort studies, precedes the clinical onset of disease [105, 107, 108, 109, 110], raising the possibility that mtDNA‐driven inflammation is involved in early atherogenesis. The proposed downstream mechanisms include the accumulation of monocytes laden with damaged mtDNA within the plaque microenvironment [111, 112, 113].
Extracellular DNA also forms immune complexes with MPO and Proteinase 3 [114]. These complexes bind to Fcγ receptors on plasmacytoid dendritic cells (pDCs), leading to TLR9‐dependent pDC activation and a Type I interferon (IFN‐I) response [99, 115, 116]. This pathway has been demonstrated in murine AS models, where antibody‐mediated depletion of pDCs reduced plaque burden and IFN‐I activity [49, 117], providing evidence for its atherogenic relevance. NETs also exert prothrombotic effects through the coreleased enzyme PAD4. Once in the circulation, PAD4 citrullinates ADAMTS13, the metalloprotease that cleaves ultra‐large VWF multimers. Citrullination markedly inhibits ADAMTS13 enzymatic activity, causing VWF–platelet strings to persist on the endothelial surface and accelerating thrombus formation after vessel injury in mice [118, 119]. Although this mechanism was established in mesenteric venule injury models and in plasma from septic patients, it may have relevance to atherothrombotic settings, where both elevated PAD4 activity and reduced ADAMTS13 function have been observed. In patients with ST‐elevation myocardial infarction (STEMI), elevated double‐stranded DNA (dsDNA) levels correlate with platelet aggregation, and mechanistic studies have implicated the cGAS–STING/NLRP3/Caspase‐1/IL‐1β axis in platelets [120]. In the cerebrovascular system, NET‐derived DNA triggers the AIM2 inflammasome in vulnerable atherosclerotic plaques, promoting destabilization and atherothrombosis [121]. These clinical observations, while correlative, are consistent with the scaffold‐mediated prothrombotic mechanisms characterized in experimental systems.
4.2. Proteolytic and Oxidative Effectors
NETs carry a concentrated payload of proteases and oxidative enzymes that degrade the extracellular matrix (ECM), impair anticoagulant defenses, and amplify coagulation. This spatial concentration is especially relevant in AS, where NETs deposit directly onto the plaque endothelium.
NE and cathepsin G (CG) coordinate serine protease activity (Figure 3D, E). NE consists of 218 amino acid residues arranged in two β‐barrel domains [122]. It degrades key anticoagulant factors such as antithrombin III and tissue factor pathway inhibitor (TFPI), shifting hemostatic balance toward coagulation [123, 124]. Simultaneously, NE activates MMP‐2 and MMP‐9, while inactivating TIMP‐1 and accelerating ECM degradation [125]. CG complements these actions by independently degrading TFPI and promoting fibrin formation [126], and by processing processing protease‐activated receptor 4 to drive platelet shape change and Glycoprotein IIb–IIIa expression [73, 127]. In atherosclerotic lesions specifically, CG embedded in NETs cleaves IL‐1α precursors on the intimal surface, releasing the mature cytokine and amplifying EC activation [128]. This activity parallels the function of Caspase‐1 in inflammasome‐dependent IL‐1β maturation and may represent a mechanism through which NET‐bound CG preferentially activates ECs, given that the scaffold concentrates the protease in proximity to its endothelial substrates. Within NETs, NE also promotes the endothelial‐to‐mesenchymal transition through the β‐catenin signaling pathway and cleaves PAR‐1 to induce EC apoptosis. Evidence that NE disrupts EC barrier integrity by degrading VE‐cadherin and the actin cytoskeleton has been obtained in pulmonary vascular injury models [129, 130]. While these observations were not made in atherosclerotic arteries, they point to conserved mechanisms of NE‐mediated endothelial damage whose relevance to plaque erosion merits further study.
MPO drives oxidative modification at the scaffold surface (Figure 3B). MPO, a heme‐containing glycosylated tetramer closely associated with NET release [131], generates hypochlorous acid that oxidizes LDL to oxLDL, thereby promoting foam cell formation [132, 133]. In human atherosclerotic plaques, MPO‐mediated tyrosine chlorination impairs cholesterol efflux from lesion macrophages [134]. MPO also oxidizes endothelial nitric oxide synthase, reducing nitric oxide bioavailability and compounding endothelial dysfunction through accumulation of asymmetric dimethylarginine [135]. In addition to its direct enzymatic effects, MPO participates in an amplification circuit linked to NET persistence. Complement activation within atherosclerotic plaques generates C5a, which binds to C5aR1 on neutrophils and potently induces further NET formation and MPO release [136]. This creates a positive feedback loop in which NET‐driven inflammation sustains complement activation, perpetuating local inflammation. C5a has also been causally linked to plaque disruption and intraplaque hemorrhage in murine models of advanced AS [137].
Matrix metalloproteinases (MMPs) are externalized via a scaffold‐mediated mechanism (Figure 3G). MMP‐2, MMP‐9, and MMP‐8 degrade vascular matrix collagen and contribute to fibrous cap thinning [138]. MMP‐9 content and activity are elevated in human atherosclerotic plaques [138, 139], and during NET formation, intracellular MMP‐9 is externalized by neutrophils and deposited directly onto the surrounding tissue [140]. This externalization mechanism is distinct from macrophage‐derived MMP secretion, which occurs via classical exocytosis into the interstitial space. The scaffold‐directed delivery of MMP‐9 tends to concentrate proteolytic activity at the NET–endothelium interface, potentially enhancing local matrix degradation relative to diffuse secretion [141]. ECs, smooth muscle cells (SMCs), and macrophages within human plaques can also express MMP‐8, suggesting that NET‐derived MMPs may act in concert with cell‐autonomous MMP production to weaken the fibrous cap [142].
The functional synergy among these effectors is a notable feature of NET‐mediated vascular injury. NE activates latent MMPs; MPO‐generated oxidants modify protease substrates, rendering them more susceptible to cleavage; and the scaffold colocalizes these enzymes at the endothelial surface. This layered proteolytic–oxidative program is expected to produce greater local tissue damage than any single enzyme acting in isolation and may help account for the distinct pathological contribution of NETs compared with the more diffuse proteolysis associated with macrophage degranulation.
4.3. NET‐Associated DAMPs and Immune Amplification
NETs serve as potent activators of innate and adaptive immunity through the release of DAMPs. Three NET‐associated danger signals are particularly relevant to AS: histones, high‐mobility group box 1 (HMGB1), and LL‐37. Each engages pattern recognition receptors and sustains inflammatory cascades, but their pathogenic significance in AS varies with the strength of available evidence.
Histones are the most abundant protein component of NETs, forming an octamer of H2A, H2B, H3, and H4 [143] (Figure 3H). In atherosclerotic lesions, extracellular histones function as DAMPs that trigger oxidative stress and NLRP3 inflammasome activation, recruiting neutrophils and macrophages and driving IL‐6 and other proinflammatory cytokine secretion [144]. Histone citrullination by PAD4 enhances nucleosome binding to TLR4, amplifying proinflammatory signaling [104]. A feature that may distinguish histone‐mediated inflammation in the context of NETs from the generic consequences of cell death is the manner of delivery. The NET scaffold presents histones in a stable, locally concentrated array that may prolong receptor engagement at the vessel wall, in contrast to the more transient release of histones during apoptosis or necrosis.
HMGB1, a DNA‐binding protein contained in NETs, signals through Toll‐like receptor 2 (TLR2), TLR4, and the receptor for advanced glycation end products on macrophages, activating the myeloid differentiation primary response 88/nuclear factor κB pathway and inducing tumor necrosis factor α secretion [145, 146] (Figure 3C). HMGB1 also interacts with PAD4, promoting additional NET formation and thrombosis [147]. Current evidence linking HMGB1 to NET‐mediated cardiovascular pathology comes primarily from ischemia–reperfusion models, including a rat stroke model in which HMGB1 mediated NET‐driven neuronal death [148, 149] and a murine heart failure model in which it promoted neutrophil recruitment [150], rather than from chronic atherosclerotic lesion studies. These observations support a role for HMGB1 in sustaining NET‐mediated inflammatory cycles in cardiovascular tissues, although its specific contribution to plaque biology warrants further investigation.
LL‐37, a human cathelicidin, has a distinctive dual role in NET biology (Figure 3F). It stimulates neutrophils to form additional NETs in a dose‐dependent manner and binds to existing NETs to protect them from DNase degradation [151, 152]. This combination of NET induction and NET stabilization prolongs the persistence of NETs at inflammatory sites. LL‐37 also recruits neutrophils by upregulating IL‐8 and MCP‐1 [153]. In atherosclerotic plaques specifically, LL‐37 mediates SMC apoptosis, which slows fibrous cap formation and accelerates plaque vulnerability [49, 154]. LL‐37 has also been shown to potentially enhance thrombin activity [155].
In addition to the major NET‐associated DAMPs discussed above, neutrophil α‐defensins may exert context‐dependent effects in AS (Figure 3I). Studies have linked α‐defensins to endothelial dysfunction [156], vascular retention of atherogenic lipoproteins [157], and acute coronary syndromes [158]. However, most of this evidence comes from earlier vascular studies or clinical association analyses rather than from plaque‐focused investigations that directly define the contribution of NET‐associated α‐defensins within atherosclerotic lesions. Some findings also suggest that α‐defensins may exert protective effects under specific conditions, indicating that their role is not uniformly pathogenic [159, 160]. Taken together, the current evidence supports a bidirectional and context‐dependent role for α‐defensins in AS.
The common feature linking these DAMPs is their capacity to establish positive feedback loops that are sustained over time. NET‐derived DAMPs activate innate immune cells, which release cytokines and chemokines that recruit additional neutrophils, promote further NETosis, and generate more DAMPs. This prolonged, localized immune activation is unlikely to resolve without disruption of the NET structure by endogenous DNases or therapeutic intervention.
4.4. Multicomponent, Multitarget Coupling: NETs as Integrated Effectors of Plaque Destabilization
The mechanisms described in Sections 4.1–4.3 converge on the atherosclerotic vessel wall. Rather than recapitulating individual pathways, this section highlights the emergent properties that arise when multiple NET components act simultaneously on multiple cell types. These properties may position NETs as integrated effectors of plaque destabilization and atherothrombosis. The first property is simultaneous multitarget engagement. As an activated or eroding plaque, a single NET contacts ECs from the luminal side, entraps platelets on VWF strings, and exposes its DAMP content to subendothelial immune cells. The physical dimensions of the NET scaffold, spanning tens of micrometers, bridge the endothelial surface and plaque stroma, creating a continuous zone of high effector density where the proteolytic, oxidative, and immunostimulatory activities operate in parallel rather than in sequence. The second emergent property is bidirectional amplification with macrophages. Within the plaque microenvironment, NETs and macrophages amplify each other through several converging pathways, with cholesterol crystals and oxLDL driving reciprocal NET–macrophage activation loops [161]. This reciprocal amplification establishes a self‐sustaining inflammatory circuit within the plaque that is qualitatively different from unidirectional cytokine signaling. The third emergent property is direct SMC cytotoxicity and cap weakening. Unlike macrophage‐derived mediators mainly modulate SMC phenotype switching, whereas NET components kill SMCs directly [162]. Histone H4 induces rapid, receptor‐independent SMC death through membrane pore formation, and neutralization of H4 significantly improves SMC viability [163]. LL‐37 contributes to SMC loss through a distinct apoptotic mechanism [154]. Simultaneously, NET‐associated NE and MMPs degrade the collagen matrix that SMCs produce. This combined assault, killing the cells that maintain the fibrous cap while degrading the matrix they have already deposited, making it a particularly effective mode of plaque destabilization. Evidence for this mechanism comes from studies of human carotid plaques, in which NETs colocalized with regions of fibrous cap thinning and SMC loss [87]. When the EC barrier fails, the NET scaffold becomes the immediate interface between blood and the exposed plaque. The prothrombotic activities described above then converge on this single scaffold. Histones activate platelets, serine proteases degrade anticoagulant factors, and NET DNA recruits coagulation factors, making NETs a particularly efficient platform for initiating and propagating thrombus formation on disrupted plaques. PAD4 deficiency selectively reduces acute thrombotic complications without altering chronic plaque size, providing experimental evidence for a stage‐specific, NET‐dependent contribution to atherothrombosis [87]. Taken together, the functional architecture generates an integrated effector system whose combined vascular impact exceeds what any individual component or pathway would produce in isolation. Future studies are needed to determine whether this integrated mode of action can be exploited therapeutically and to identify which cooperative interactions offer the most tractable targets for intervention in human atherosclerotic disease.
5. NETs in the Pathological Continuum of AS and CVD
AS and its cardiovascular complications form a pathological continuum rather than a collection of separate diseases (Figures 4 and 5). Early lipid‐driven inflammation, plaque destabilization, acute thrombotic occlusion, and ischemia–reperfusion injury represent successive stages in which vascular damage accumulates progressively. NETs participate throughout this continuum, but their dominant function shifts with disease stage. In early atherogenesis, they mainly amplify local inflammation and sustain endothelial dysfunction. As plaques become vulnerable, they serve as structural scaffolds for immunothrombosis. After reperfusion, they obstruct the microvasculature and drive adverse cardiac remodeling. Whether NETs exert a net pathological or protective effect at any given stage depends on several factors. These include release intensity, aggregation state, clearance efficiency, the local microenvironment, and the temporal phase of disease. This section follows the natural history of atherosclerotic CVD to examine the stage‐specific roles of NETs.
FIGURE 4.

Role of neutrophil extracellular traps (NETs) in the pathogenesis and progression of atherosclerosis. This figure illustrates the major processes driven by NETs, although in reality these mechanisms form a continuous, overlapping sequence. NETs act in a stage‐specific manner during atherosclerotic cardiovascular disease. In early atherogenesis, DNA–protein complexes released from NETs activate plasmacytoid dendritic cells via TLR9, inducing Type I interferon responses and promoting monocyte recruitment, which amplifies local vascular inflammation. As plaques progress, NETs and macrophages engage in a reciprocal loop mediated by IL‐1β and miR‐146a, sustaining inflammation and driving plaque growth. In advanced lesions, NETs provide immunothrombotic scaffolds that concentrate tissue factor and von Willebrand factor, while NET‐associated proteases including NE, CG, and MMPs degrade the fibrous cap, facilitating plaque rupture or erosion and subsequent thrombus formation. Through these integrated and overlapping actions, NETs serve as central effectors linking inflammation, vascular injury, and thrombosis. *Created with BioRender.com. CG, cathepsin G; EC, endothelial cell; IFN‐I, Type I interferon; IL, interleukin; LDL, low‐density lipoprotein; METs, macrophage extracellular trap; MMP, matrix metalloproteinase; NE, neutrophil elastase; NET, neutrophil extracellular trap; pDC, plasmacytoid dendritic cell; SMC, smooth muscle cell.
FIGURE 5.

Neutrophil extracellular traps (NETs) in various cardiovascular diseases. NETs are key drivers of aortic wall structural degradation. By inducing vascular smooth muscle cell (VSMC) death, promoting their phenotypic transdifferentiation from a contractile to a synthetic state, exacerbating local inflammation, and directly degrading the extracellular matrix (ECM), they collectively compromise the integrity of the aortic wall. This cascade of pathological changes is the core driver of aortic dilation, aneurysm formation, aortic dissection, and ultimately, arterial rupture. NETs play a multifaceted role in the pathogenesis of acute coronary syndrome. They drive the progression and instability of atherosclerotic plaques by serving as the core scaffold for intracoronary thrombus formation. This, coupled with NET‐induced endothelial dysfunction and VSMC death, forms the pathological basis of acute coronary events. Following the restoration of blood flow to ischemic organs such as the heart or brain, NETs act as key inflammatory mediators that exacerbate tissue damage. During the reperfusion phase, abundantly formed NETs, which are resistant to tissue‐type plasminogen activator (t‐PA)‐mediated thrombolysis, can occlude the microvasculature and dramatically amplify the local inflammatory storm and oxidative stress, leading to apoptosis and necrosis, thereby significantly increasing the final infarct size. *Created with BioRender.com. CXCL, C–X–C motif chemokine ligand; CXCR, C–X–C motif chemokine receptor; ECM, extracellular matrix; NET, neutrophil extracellular trap; pDC, plasmacytoid dendritic cell; ROS, reactive oxygen species; SLC25A11, solute carrier family 25 member 11; t‐PA, tissue‐type plasminogen activator; VSMC, vascular smooth muscle cell.
5.1. NETs in Atherogenesis and Plaque Progression
Histological studies have confirmed the presence of NETs within atherosclerotic lesions in both humans and mice [164]. Neutrophils and NETs have also been identified in thrombi aspirated from patients with AMI [111]. Together, these findings position NETs as active contributors to atherosclerotic disease rather than incidental byproducts of neutrophil activation. Within the atherosclerotic microenvironment, several feed‐forward loops sustain NET formation. Cholesterol crystals stimulate vascular smooth muscle cells to release IL‐33, which enhances neutrophil adhesion, ROS production, and NET generation [165]. The resulting NETs engage the reciprocal NET–macrophage amplification loop described in Section 4.4 [28, 166]. Genetic factors modulate this interplay as well. Low‐frequency Jak2V617F mutations accelerate AS by enhancing IL‐1β signaling, promoting cleavage of macrophage phagocytic receptors, and fostering plaque instability [167]. Recent studies have expanded the mechanistic landscape beyond soluble mediators. Combining bioinformatics with tissue‐level validation, Cao et al. identified MD‐1/LY86 as an upstream inducer of NETs in unstable carotid plaques [168]. This finding reveals a new node connecting the plaque microenvironment to NET generation. Biomechanical cues contribute as well. Low shear stress, a hallmark of AS‐prone vascular regions, exacerbates NET formation through Piezo1‐mediated mechanosensation [169]. These findings indicate that physical forces, not only biochemical signals, regulate NET activity during atherogenesis. Many of the individual effects attributed to NETs, such as endothelial injury, cytokine amplification, and lipid oxidation, are also shared by macrophages, platelets, and adaptive immune cells. Compared with these individual mediators, however, NETs are structurally distinct in that they simultaneously deliver proteolytic enzymes, cytotoxic histones, and immunostimulatory DNA within a single extracellular scaffold [52]. This structural integration enables NETs to coordinate multiple pathogenic processes at the same site. Whether this coordination makes NETs quantitatively dominant over other inflammatory mediators in atherogenesis remains an open question. Nevertheless, interventional studies demonstrate that NETs are nonredundant contributors to atherogenesis. DNase I treatment and pharmacological PAD4 inhibition with Cl‐amidine attenuate plaque burden and inflammation in murine models [76, 143, 170, 171]. Hematopoietic PAD4 deficiency alone, however, did not significantly alter chronic plaque size in hypercholesterolemic mice, even though it reduced arterial thrombosis [87]. These findings suggest that NET‐mediated effects on atherogenesis may involve both PAD4‐dependent and PAD4‐independent mechanisms.
Interestingly, NETs are not uniformly harmful in the context of AS. When NETs aggregate at high local density, the resulting aggregated NETs (aggNETs) can degrade proinflammatory cytokines and chemokines through the proteolytic activity of NET‐bound serine proteases, thereby dampening rather than amplifying inflammation [7]. Whether this regulatory mechanism operates in atherosclerotic plaques in vivo has not been confirmed, but it illustrates a general principle. The biological outcome of NET formation depends on their release intensity, aggregation state, local clearance efficiency, and the specific microenvironmental context. This complexity cautions against treating NET formation in AS as a uniformly deleterious process.
5.2. NETs in Plaque Destabilization and Acute Thrombotic Events
The progression from stable AS to acute cardiovascular events marks as a critical shift, in which the role of NETs moves from inflammatory amplification to immunothrombotic scaffold assembly. When coronary AS advances sufficiently, rupture or erosion of vulnerable plaques triggers secondary thrombosis, the principal pathological basis of acute coronary syndrome (ACS) [172] (Figure 4). Three mechanisms commonly lead to coronary thrombosis: plaque rupture, plaque erosion, and nodule calcification [173]. Patients with ACS typically show increased neutrophil counts and dysregulated immune activation, providing a permissive environment for NET generation. Clinical evidence consistently associates NETs with the severity of acute coronary events. Thrombi extracted from the coronary vasculature of ACS patients contain significantly higher levels of NET biomarkers than those of healthy controls [102]. In STEMI patients, greater NET burden and higher DNase I activity within thrombi correlate with larger infarct size and delayed ST‐segment resolution [174]. Rising serum dsDNA concentrations correlate with microvascular obstruction in STEMI patients. NETs have also been identified in 25% of in‐stent thrombosis samples after percutaneous coronary intervention (PCI), where they serve as a marker of stent thrombosis [175, 176]. Mechanistically, NETs promote thrombosis through the converging scaffold‐mediated, proteolytic, and coagulation‐activating mechanisms [101, 102]. Conventional thrombosis is driven primarily by vascular injury, whereas immunothrombosis incorporates innate immune cells and their products as integral thrombus components. Within this process, NETs activate both the intrinsic and extrinsic coagulation pathways simultaneously [52]. The broader relevance of this paradigm became apparent during the COVID‐19 pandemic, in which excessive NET formation drove widespread microvascular thrombosis and correlated with disease severity [177]. The colocalization of citrullinated histone H3 with platelets within pulmonary microthrombi underscores the pathogenic interplay between NETs and platelets during viral infection [178]. Together, these observations generalize the concept that dysregulated NET formation drives thrombotic complications across diverse clinical settings, from atherosclerotic plaque disruption to infection‐associated coagulopathy.
A key emerging insight is that NETs contribute to acute thrombosis through different mechanisms in plaque rupture versus plaque erosion, and this distinction has direct therapeutic implications. In plaque rupture, the breach of the fibrous cap exposes the lipid‐rich necrotic core to the bloodstream. The released cholesterol crystals upregulate proinflammatory cytokines, recruit polymorphonuclear neutrophils (PMNs), and induce NET formation. Active tissue factor on NETs promotes thrombus formation at the ruptured plaques and activates platelets through the PAR signaling, driving thrombus enlargement [28]. Here, NETs function mainly as amplifiers of a coagulation cascade already initiated by the exposed necrotic core. Plaque erosion differs fundamentally because the fibrous cap remains intact. Erosion is characterized by EC stripping from the plaque surface with mild luminal stenosis and accounts for approximately 31% of ACS cases [179]. In eroded plaques, NETs appear to act as primary initiators rather than secondary amplifiers. They induce oxidative stress and EC denudation through TLR2 signaling and secrete IL‐8 to recruit additional PMNs. This establishes a positive feedback loop that amplifies endothelial loss and promotes thrombosis on an otherwise structurally intact plaque [129, 180]. PMNs and NETs are abundant in all culprit plaques of patients with AMI, regardless of whether the mechanism is rupture, erosion, or intraplaque hemorrhage [180]. The proportional contribution of NETs to the thrombotic trigger is nonetheless likely greater in erosion, where conventional rupture‐based mechanisms are absent. This rupture–erosion distinction carries practical therapeutic weight. The 2018 EROSION study demonstrated that in ACS caused by plaque erosion with nonflow‐limiting stenosis, intensive dual antiplatelet therapy is a viable alternative to routine stenting [181]. Targeting NETs and their components may therefore offer a particularly rational approach for erosion‐mediated ACS, where the NET–EC–PMN axis is the primary driver of thrombosis. New antithrombotic approaches targeting the NET scaffold may complement existing therapies. DNase I can accelerate thrombus dissolution by degrading the DNA backbone of NETs without increasing bleeding risk, offering a potential strategy for secondary prevention of coronary heart disease and postinfarction management.
5.3. NETs in Ischemia–Reperfusion Injury and Postinfarction Remodeling
The restoration of blood flow following myocardial ischemia is essential for tissue salvage, but reperfusion itself paradoxically exacerbates injury. At this stage, the dominant function of NETs shifts again, from scaffolding thrombosis to obstructing the microvasculature and intensifying the local inflammatory response. In a rat model of acute myocardial infarction, Ge et al. [182] demonstrated that combined treatment with DNase I and r‐tPA reduced NET density, decreased the no‐reflow area, and limited infarct size relative to untreated controls. Long‐term follow‐up confirmed that this regimen also improved postinfarction left ventricular remodeling. Savchenko et al. [183] replicated these findings in mice, demonstrating significant cardioprotection with DNase I. Notably, PAD4‐null mice, which cannot produce NETs, were substantially protected from myocardial ischemia–reperfusion injury, and DNase I conferred no additional benefit in these animals. This genetic evidence supports a causal role for NETs in reperfusion injury rather than a mere correlative association.
In the anoxic microcirculation, NETs provide a scaffold for microthrombosis and aggravate endothelial injury, two key features of the coronary no‐reflow phenomenon [182]. Neutrophils recruited to the ischemic myocardium release large amounts of ROS through NADPH oxidase‐mediated respiratory bursts, directly damaging host tissues by modifying amino acids, proteins, and lipids [184]. Moderate ROS production supports cardiac repair, but excessive generation is harmful and promotes further tissue destruction. After the acute phase, NETs contribute to adverse remodeling. In STEMI patients, fibroblasts accumulate at infarcted sites and within coronary thrombi, and the local NET burden correlates with fibroblast activation and left ventricular dysfunction [185]. NETs have been shown to promote monocyte differentiation and induce fibroblast activation [186]. These data suggest that NETs mediate fibrotic remodeling after STEMI by stimulating fibroblasts. Their pathological impact thus extends well beyond the acute thrombotic event, into the chronic structural changes that underlie heart failure.
NETs may also contribute to repair in the postinfarction setting. In the infarcted myocardium, the neutrophil secretome, including NET‐derived components such as S100A8/A9, has been reported to promote macrophage polarization toward the M2 reparative phenotype [187]. N2‐phenotype neutrophils, which predominate in the later repair phase (approximately Days 4–7 post‐MI), release factors such as TGF‐β, and IL‐10 that support anti‐inflammatory macrophage responses [187]. Several caveats apply, however. Most evidence for NET‐mediated reparative effects comes from in vitro or early‐stage in vivo studies, and the extent to which this occurs in human postinfarction hearts remains unclear. The reparative function appears to be strictly time dependent [188]. The same NET components that support repair during the resolution phase may worsen inflammation if released during the early acute phase [186, 189]. The balance between profibrotic and proreparative effects on fibroblasts probably varies with infarct size, patient comorbidities, and concurrent therapies [190, 191]. These observations support a phase‐dependent dual role for NETs in postinfarction biology, but the evidence for their reparative function is considerably thinner than that for their pathological effects.
In summary, the evidence reviewed in this section demonstrates that NETs function as a common mechanistic thread linking the progressive stages of atherosclerotic CVD, with their dominant pathological contribution shifting as lesions evolve. A consistent theme across all stages is that the net biological effect depends on the interplay among release intensity, clearance efficiency, and the local microenvironment. These considerations argue for stage‐specific rather than blanket approaches to NET‐targeted cardiovascular therapy.
6. Clinical and Translational Evidence Linking NETs to Cardiovascular Outcomes
Human evidence increasingly supports NETs as both markers and mediators of coronary thrombo‐inflammation. Yet the clinical data remain largely observational, and no NET‐associated marker has been validated as a standalone biomarker for routine cardiovascular risk assessment. Interpreting this evidence requires attention to the biological specificity of each marker, the anatomical sampling site, the timing of measurement, and the disease context. At present, the strongest data link NET‐associated markers to the local thrombo‐inflammatory burden in acute and chronic coronary syndromes. Whether this association can be translated into clinically actionable information is an unresolved question.
6.1. Circulating NET Biomarkers and Clinical Correlations
The clinical value of any circulating NET marker is inseparable from its biological specificity, and the published literature has not always drawn this distinction with sufficient care. Cell‐free DNA (cfDNA) and dsDNA are released during apoptosis, necrosis, and NETosis alike, so they reflect general tissue injury rather than NET formation per se. MPO and NE reside in neutrophil granules and are discharged during degranulation independently of chromatin externalization; they are neutrophil‐associated but not NET‐specific. MPO–DNA complexes and citrullinated histone H3 more closely mirror the chromatin decondensation that defines NETs, and they are currently regarded as the most NET‐enriched circulating markers available. An elevated dsDNA level in a patient with myocardial infarction may reflect myocardial necrosis, neutrophil activation, NETosis, or any combination of these processes.
Several cohort studies link NET‐associated markers to the burden of coronary AS. In a cross‐sectional cohort of 282 patients with suspected coronary artery disease (CAD), Borissoff et al. found that plasma dsDNA, nucleosomes, citrullinated histone H4, and MPO–DNA complexes were each associated with coronary stenosis severity and elevated thrombin–antithrombin levels [51]. Nucleosome concentrations were an independent risk factor for severe stenosis, and MPO–DNA complexes correlated with multivessel disease. The cross‐sectional design, however, could not resolve whether elevated markers drive plaque progression or simply accompany advanced disease. Where blood is sampled substantially affects what the markers reveal. In a prospective STEMI trial (NCT01777750), Mangold et al. showed that dsDNA, CitH3, nucleosomes, MPO, and NE were all markedly elevated at the coronary culprit site relative to peripheral blood [192]. High culprit site dsDNA and neutrophil counts correlated with greater microvascular obstruction and lower ejection fraction, while higher local DNase activity tracked with less microvascular obstruction and better systolic function. These gradients indicate that the local equilibrium between NET accumulation and enzymatic clearance may influence tissue perfusion after reperfusion, although observational sampling alone cannot establish causality. Moreover, a recurring finding in this literature is that less specific general‐injury markers tend to show stronger and more reproducible clinical associations than more NET‐enriched markers. In a large cohort of 956 STEMI patients followed for a median of 4.6 years, Langseth et al. found that elevated serum dsDNA was independently associated with mortality after adjustment for conventional risk factors [193]. In the same cohort, however, the more NET‐specific markers CitH3 and MPO–DNA showed no significant association with the primary composite endpoint. This dissociation illustrates a core tension in NET biomarker research. The broad sensitivity of dsDNA, which captures myocardial necrosis, neutrophil death, and NETosis simultaneously, is exactly what prevents attribution of the prognostic signal to NETs alone. The failure of CitH3 and MPO–DNA to predict outcomes peripherally, in turn, may reflect their rapid proteolytic clearance in plasma, suboptimal assay sensitivity at the time of sampling, or a genuine disconnect between peripheral NET‐specific markers and the local NET burden within coronary thrombi. Measurement timing compounds these difficulties. MPO has been linked to 30‐day ischemic risk in some studies, but this association attenuates by 6 months, indicating that marker kinetics and the measurement window interact to shape prognostic performance. A recent study by Blasco et al. in STEMI patients reinforced this paradox [194]. Circulating levels of the NET‐specific marker nucleosome CitH3‐DNA at the time of primary PCI were not associated with 30‐day major cardiovascular events. By contrast, classical inflammatory markers such as C‐reactive protein (CRP) and IL‐6 added significant discriminative value to clinical prediction models. This finding does not negate the pathophysiological relevance of NETosis in coronary thrombosis, but it does caution against equating biological involvement with biomarker utility. Local or pathway‐specific markers may prove more informative than generic peripheral measures. Zhang et al. reported that plasma S100A12, an upstream trigger of NET formation, correlated with dsDNA concentrations in STEMI patients, and that higher levels of both were associated with increased 1‐year all‐cause mortality [140]. In a separate AMI cohort, NE levels in the infarct‐related artery independently predicted cardiovascular events [195]. Together, these data suggest that local or pathway‐specific markers may outperform generic peripheral measures in the acute coronary thrombosis setting, although external validation is needed before clinical application can be considered.
Elevated NET‐associated markers have also been reported in disease contexts where their biological meaning differs from that in acute coronary thrombosis. In acute aortic dissection, circulating CitH3, cfDNA, and nucleosomes likely reflect vascular wall injury and systemic inflammatory activation [196]. In atrial fibrillation, NET markers have been associated with prothrombotic fibrin clot properties [197, 198]. The COVID‐19 pandemic further exemplified this context‐dependence [25, 199]. Across chronic stable CAD, systemic inflammatory cardiovascular injury, and acute coronary thrombosis, the same circulating molecule may carry different biological significance. This context‐dependence limits the applicability of any single marker or threshold across disease states.
6.2. NET Signatures in Human Atherosclerotic and Myocardial Tissues
NETs have been directly identified within human atherosclerotic and thrombotic tissues. Megens et al. detected NET structures at the luminal surface of human atherosclerotic plaques using immunofluorescence [164], and de Boer et al. found neutrophils and NETs within coronary thrombi from AMI patients [111]. A systematic histopathological analysis by Pertiwi et al. extended these observations, showing that NETs were present across all subtypes of thrombotic and hemorrhagic complications of coronary AS, including plaque rupture, erosion, and intraplaque hemorrhage [180]. The consistent identification of NETs in these distinct pathological categories indicates that NET involvement is a shared feature of coronary thrombo‐inflammation rather than a mechanism‐specific phenomenon.
These histological observations have been complemented by mechanistic work, although the line between human clinical findings and in vitro extensions should be drawn clearly. A human in vivo observation measured NET markers and MCP‐1 levels in culprit‐site blood from STEMI patients and found both to be elevated relative to peripheral samples [200]. An in vitro experiment suggested that stimulation of human coronary artery endothelial cells with isolated NETs induced MCP‐1 and intercellular adhesion molecule 1 expression. MCP‐1, in turn, promoted further NET formation and directed monocyte migration toward fibrocyte transdifferentiation. This positive feedback loop is biologically coherent, but the controlled culture conditions may not recapitulate the hemodynamic and cellular complexity of the coronary thrombus microenvironment. Similarly, a clinical study observed that fibrocyte accumulation at infarcted sites in STEMI patients correlated with local NET burden and left ventricular dysfunction [185], whereas the causal link between NETs and fibroblast activation was established in cell culture. Likewise, He et al. observed an association between NET activity and ventricular aneurysm formation after ischemic injury in patients, with in vitro data implicating Smad, mitogen‐activated protein kinase, and RhoA signaling in NET‐driven fibroblast migration [201]. In each case, the human tissue observation is correlative, and the mechanistic chain derives from ex vivo or in vitro models that await confirmation by interventional studies.
Recent applications of spatial and single‐cell transcriptomics are beginning to map the cellular neighborhoods within human atherosclerotic plaques [202, 203]. An important caveat is that these technologies primarily characterize the inflammatory cellular niches in which NETs are likely to form and act. They do not directly quantify NET structures, histone citrullination, or extracellular DNA scaffolds. Nonetheless, they define the spatial context of neutrophil activation within vulnerable plaques. In doing so, they provide an essential framework for future studies that interrogate NETosis and its functional consequences at single‐cell resolution.
6.3. Translational Potential, Implementation Barriers, and Future Directions
The translational appeal of NET‐related markers lies in their potential to identify patients with heightened thrombo‐inflammatory risk who might benefit from targeted anti‐inflammatory or anti‐NET therapies. Realizing this potential, however, requires crossing several barriers that the field has not yet addressed.
In the setting of chronic plaque progression, Langseth et al. reported that circulating NET markers were associated with adverse outcomes in patients with stable CAD [204]. They proposed that persistent NET activity may reflect ongoing subclinical plaque rupture and repair. This hypothesis is biologically plausible, but it rests on small studies without independent replication. Moreover, low‐grade chronic NETosis has not been distinguished from other causes of persistent neutrophil activation in stable CAD. A systematic review of neutrophil‐enriched biomarkers in acute coronary syndrome found that elevated MPO and NGAL were each associated with higher MACE rates [205], with MPO showing independent predictive value in most included studies. Elevated dsDNA levels were also associated with worse clinical outcomes [193, 206]. However, heterogeneity in assay platforms, sample matrices, endpoint definitions, and follow‐up durations across studies makes it difficult to derive generalizable thresholds or compare effect sizes.
Genetic evidence offers a complementary perspective on NET clearance as a risk modifier. Hofbauer et al. found that the DNase 1 Q222R polymorphism, which reduces DNase 1 enzymatic activity, was independently associated with cardiovascular and all‐cause mortality in 711 STEMI patients [207]. Homozygous carriers had lower DNase activity and a higher dsDNA‐to‐DNase ratio. This shifts the conceptual focus from NET formation alone to the balance between formation and clearance. It also raises the theoretical possibility of using genetic markers of NET degradation capacity for patient stratification.
Several unresolved issues stand between current evidence and clinical implementation. First, assay standardization is lacking across the field. CitH3, the most NET‐specific circulating marker, undergoes rapid proteolytic degradation in plasma, and validated quantitative assays have only recently been developed [79]. Second, preanalytical variability poses a further challenge. The concentrations of cfDNA and dsDNA are sensitive to the choice of sample matrix (serum versus plasma), anticoagulant type, processing delay, and freeze–thaw cycles. Without rigorous control of these variables, results remain difficult to compare across studies, and reference ranges cannot be established. Third, biological specificity is limited for the most commonly measured markers, as discussed above. Perhaps the most fundamental barrier is clinical actionability. Even if a NET marker reliably identifies high‐risk patients, it remains unclear whether this information would change therapeutic decisions. No prospective trial has shown that NET marker‐guided therapy selection improves cardiovascular outcomes relative to standard care. Until such evidence emerges, the rationale for routine clinical testing is insufficient. One promising direction is to integrate NET‐specific markers with coronary imaging data, such as plaque morphology from intravascular imaging or computed tomographic angiography (CTA). This combination may improve identification of the patients most likely to benefit from anti‐inflammatory or anti‐NET interventions. Achieving this will require prospective, multicenter studies with standardized preanalytical protocols, prespecified analytical plans, and clinically meaningful endpoints. Until such studies are completed, NET‐related markers remain informative research tools for dissecting thrombo‐inflammatory biology rather than established components of clinical cardiovascular risk assessment.
7. Therapeutic Targeting of NETs in CVD
NETs have been increasingly recognized as central mediators of vascular injury in CVD. As discussed in preceding sections, NETs drive endothelial dysfunction, amplify thrombo‐inflammation, and destabilize atherosclerotic plaques through coordinated actions of their structural and enzymatic components. This mechanistic understanding has prompted the development of strategies that target distinct stages of NET‐mediated pathology. Current approaches fall into four broad categories: inhibition of pathological NET formation, degradation and clearance of existing NET structures, modulation of NET‐driven downstream signaling, and precision strategies tailored to specific disease stages (Tables 1 and 2). A growing number of these interventions have advanced from preclinical proof‐of‐concept to clinical evaluation, although significant translational challenges remain.
TABLE 1.
Preclinical and clinical strategies targeting NETs in cardiovascular disease.
| Biological targets | Drugs/method | Diseases/models | Mechanism/effect | Study | References |
|---|---|---|---|---|---|
| Targeting NET formation | |||||
| Formation | Secretory leukocyte protease inhibitor (SLPI) | –(in vitro) | Inhibits neutrophil elastase‐mediated NET release | Preclinical | [208] |
| Formation | Gallic acid | –(in vitro) | Attenuates free radical formation and suppresses apoptosis‐associated NET release | Preclinical | [209] |
| Formation | Fibrin | Sterile occlusive thrombi | Suppresses shear‐induced NET generation | Preclinical | [210] |
| Formation | Neonatal NET‐inhibitory factor (nNIF) | Ischemic stroke | Enhances motor performance and inhibits neuronal apoptosis | Preclinical | [211, 212] |
| JAK2/STAT3 | Ruxolitinib | Ischemic stroke | Suppresses LPS‐induced NLRP3 inflammasome activation via JAK2/STAT3 pathway inhibition | Preclinical | [213] |
| Formation | Simvastatin | Cerebral ischemia | Reduces infarct area and suppresses NET‐associated inflammation | Preclinical | [214, 215, 216] |
| PAD4 | Collagen IV‐targeted nanoparticles (Col IV NP) deliver GSK484 | Atherosclerosis | Inhibits NET deposition in the injured intima while preserving endothelial barrier integrity | Preclinical | [217] |
| PAD4 | GSK199 | Ischemic stroke | Reduces infarct volume, improves long‐term functional recovery, and increases poststroke survival | Preclinical | [211] |
| PAD4 | Cl‐amidine, F‐amidine | Atherosclerosis; stroke | Inhibits NET formation, decreases plaque size, and delays carotid artery thrombosis | Preclinical | [170, 218] |
| MPO | 4‐Aminobenzoic acid hydrazide (4‐ABAH) | Atherosclerosis | Reduces inflammation, oxidative stress, and endothelial dysfunction, collectively inhibiting plaque development | Preclinical | [219] |
| MPO | AZM198 (2‐thioxanthine) | Atherosclerosis | Stabilizes unstable atherosclerotic plaques | Preclinical | [220] |
| MPO | AZD4831/mitiperstat | –(in vitro/Phase I) | Irreversible MPO inhibitor, reducing MPO‐mediated oxidative stress and vascular dysfunction | [221, 222] | |
| ROS | Vitamin C/dehydroascorbic acid (DHA) | Ischemic stroke | Enhances postreperfusion cerebral blood flow, improving neurological outcomes and lowering mortality | Preclinical | [223, 224] |
| ROS | Diphenyleneiodonium (DPI) | Ischemic stroke | Reduces ischemia‐induced blood–brain barrier disruption and enhances neurological recovery | Preclinical | [225] |
| ROS | Edaravone dexborneol (Eda.B) | Acute ischemic stroke | Improves neurological function, increases cerebral blood flow, and reduces infarct volume | Preclinical | [226] |
| Cathepsin | Cathepsin S inhibitor | Atherosclerosis | Reduces elastic lamina breaks, intraplaque macrophage accumulation, and buried fibrous caps | Preclinical | [227] |
| Targeting NET structure | |||||
| DNA scaffold | DNase I | Ischemic stroke | Promotes NET lysis and enhances tPA‐mediated thrombolysis | Preclinical | [218] |
| DNA scaffold | DNase I | Diabetic atherosclerosis | Reduces plaque‐associated NETs and inflammation, supporting plaque regression after lipid‐lowering therapy | Preclinical | [143] |
| DNA scaffold | DNase I | Atherosclerosis | Mitigates vascular intimal damage in a murine model of arterial injury | Preclinical | [87, 228] |
| Histones | Antihistone H4 antibodies | Atherosclerosis | Inhibits histone H4‐mediated membrane lysis, promoting atherosclerotic plaque stability | Preclinical | [163] |
| Histones | Small polyanions (SPAs) | Cardiac ischemia–reperfusion injury | Dismantles the NET scaffold by displacing histones from the DNA backbone | Preclinical | [229] |
| HMGB1 | Glycyrrhizin | Cerebral ischemia/reperfusion injury | Downregulates the HMGB1/TLR4/NF‐κB signaling axis, reducing neuroinflammation | Preclinical | [230, 231] |
| HMGB1 | Berberine | Ischemic stroke | Attenuates ischemia–reperfusion injury by inhibiting HMGB1 release and NF‐κB nuclear translocation | Preclinical | [232] |
| DNA | DNase 1 | Ischemic stroke | Enhances ex vivo dissolution of patient thrombi | Clinical | [233] |
| Others | |||||
| Neutrophil recruitment | CCR2 antagonist (RS102895) | Atherosclerosis | Diminishes myeloid cell adhesion, plaque growth, and macrophage aggregation via chrono‐pharmacological targeting | Preclinical | [234] |
| — | Bivalirudin | STEMI | Attenuates the postprocedural rise in NET formation | Clinical | [235] |
| Interleukin (IL)‐1β | Canakinumab | Cardiovascular events in patients with prior MI | Lowered the incidence of major adverse cardiovascular events | Clinical (Phase III) | [236, 237] |
| Interleukin‐6 receptor | Tocilizumab | ST‐segment elevation myocardial infarction (STEMI) | Increased the myocardial salvage index | Clinical (Phase II) | [238] |
Abbreviations: 4‐ABAH, 4‐aminobenzoic acid hydrazide; CCR2, C–C motif chemokine receptor 2; DHA, dehydroascorbic acid; DPI, diphenyleneiodonium; Eda.B, edaravone dexborneol; HMGB1, high mobility group box 1; JAK2, Janus kinase 2; MPO, myeloperoxidase; NET, neutrophil extracellular trap; NF‐κB, nuclear factor kappa‐light‐chain‐enhancer of activated B cells; NLRP3, NLR family pyrin domain containing 3; nNIF, neonatal NET‐inhibitory factor; PAD4, peptidylarginine deiminase 4; ROS, reactive oxygen species; SLPI, secretory leukocyte protease inhibitor; SPA, small polyanion; STAT3, signal transducer and activator of transcription 3; TLR4, Toll‐like receptor 4; tPA, tissue‐type plasminogen activator.
TABLE 2.
Clinical trials relevant to NET‐targeted therapeutic strategies in cardiovascular disease.
| Trial | Drug/intervention | Target/pathway | Registry/references | Phase | Population and primary endpoint | Key findings and status |
|---|---|---|---|---|---|---|
| Inhibition of NET formation | ||||||
| COLCOT | Colchicine (0.5 mg/d) | Tubulin/NETosis | NCT02551094 [239, 240] | III | Recent MI (≤30 d); n = 4745; primary: composite of CV death, cardiac arrest, MI, stroke, urgent revascularization | 23% MACE reduction (HR 0.77; 95% CI 0.61–0.96); inhibits NET formation post‐PCI. FDA‐approved 2023; completed |
| LoDoCo2 | Colchicine (0.5 mg/d) | Tubulin/NETosis | ACTRN 12614000093684 [241, 242] | III | Chronic coronary disease, stable ≥6 mo; n = 5522; primary: composite of CV death, MI, ischemic stroke, revascularization | 31% MACE reduction (HR 0.69; 95% CI 0.57–0.83); benefit sustained over 5 years; completed |
| CLEAR | Colchicine (0.5 mg/d) | Tubulin/NETosis | NCT03048825 [243] | III | Acute STEMI + PCI; n = 7062; primary: composite of CV death, MI, stroke, revascularization | Neutral: no reduction in primary endpoint over 3‐year follow‐up when started acutely post‐MI; completed |
| SATELLITE | Mitiperstat (AZD4831, 5 mg/d) | MPO (irreversible) | NCT03756285 [244] | IIa | HFpEF/HFmrEF (LVEF ≥40%); n = 41; primary: MPO specific activity | >50% MPO activity reduction; 75% placebo‐adjusted; safe; terminated early (COVID‐19); completed |
| ENDEAVOR | Mitiperstat (AZD4831, 2.5/5 mg/d) | MPO (irreversible) | NCT04986202 [245] | IIb/III | HFpEF/HFmrEF (LVEF >40%); ∼1480; primary: Δ6MWD and ΔKCCQ‐TSS at 16 week | Sequential IIb–III design testing MPO inhibition on exercise capacity and symptoms; completed |
| Degradation and clearance of NETs | ||||||
| NETs‐target | Dornase alfa (rhDNase I) | NET DNA scaffold | NCT04785066 | II | Acute ischemic stroke postthrombectomy; primary: arterial recanalization | Evaluating dornase alfa for postthrombectomy recanalization in large‐vessel stroke; completed |
| EXTEND‐IA DNase | Dornase alfa (IV) | NET DNA scaffold | NCT05203224 | II | Acute large‐vessel ischemic stroke (adjunct to thrombolysis/thrombectomy); Bayesian dose‐finding | Adaptive dose‐finding trial (Australia) assessing IV dornase alfa as reperfusion adjunct; recruiting |
| ReScinD | Dornase alfa (IV, 500 µg/kg) | cfDNA/AIM2 inflammasome | NCT05880524 | II | Acute ischemic stroke (≤24 ± 6 h); primary: systemic immune activation reduction | Testing whether cfDNA neutralization prevents AIM2‐driven recurrent plaque destabilization; unknown status |
| Targeting NET‐driven downstream signaling | ||||||
| CANTOS | Canakinumab (150 mg SC q3m) | IL‐1β/NLRP3 | NCT01327846 [237] | III | Prior MI + hsCRP ≥2 mg/L; n = 10,061; primary: nonfatal MI, nonfatal stroke, CV death | 15% MACE reduction (HR 0.85; 95% CI 0.74–0.98); residual IL‐18/IL‐6 in some patients; completed |
| ASSAIL‐MI | Tocilizumab (single IV, 280 mg) | IL‐6 receptor | NCT03004703 [238] | II | Acute STEMI + PCI; n = 199; primary: myocardial salvage index (MRI) | Increased salvage index; secondary analysis: reduced NET markers (dsDNA, MPO–DNA, CitH3); completed |
| RESCUE | Ziltivekimab (7.5/15/30 mg SC q4w) | IL‐6 ligand | NCT03926117 [246] | II | CKD 3–5 + hsCRP ≥2 mg/L; n = 264; primary: % change in hsCRP at 12 week | Dose‐dependent hsCRP reduction (up to 92%); reduced fibrinogen and SAA; completed |
| ZEUS | Ziltivekimab (15 mg SC monthly) | IL‐6 ligand | NCT05021835 [247] | III | ASCVD + CKD + hsCRP ≥2 mg/L; n = 6376; primary: composite MACE | Multinational Phase III testing IL‐6 inhibition on MACE in high‐risk residual inflammation; recruiting |
| Anticoagulant‐based NET modulation | ||||||
| COMPASS | Rivaroxaban (2.5 mg bid) + aspirin | FXa/NET–FX loop | NCT01776424 [248] | III | Stable CAD or PAD; n = 27,395; primary: CV death, MI, stroke | 24% MACE reduction (HR 0.76; 95% CI 0.66–0.86); mechanistic link to NET–FX disruption; completed |
Abbreviations: 6MWD, 6‐min walk distance; AIM2, absent in melanoma 2; ASCVD, atherosclerotic cardiovascular disease; CAD, coronary artery disease; cfDNA, cell‐free DNA; CitH3, citrullinated histone H3; CKD, chronic kidney disease; CV, cardiovascular; dsDNA, double‐stranded DNA; FXa, activated factor X; HFmrEF, heart failure with mildly reduced ejection fraction; HFpEF, heart failure with preserved ejection fraction; hsCRP, high‐sensitivity C‐reactive protein; KCCQ‐TSS, Kansas City Cardiomyopathy Questionnaire total symptom score; LVEF, left ventricular ejection fraction; MACE, major adverse cardiovascular events; MI, myocardial infarction; MPO, myeloperoxidase; NET, neutrophil extracellular trap; NLRP3, NLR family pyrin domain containing 3; PAD, peripheral artery disease; PCI, percutaneous coronary intervention; SAA, serum amyloid A; SC, subcutaneous; STEMI, ST‐elevation myocardial infarction.
Data sources: trial registration details from ClinicalTrials.gov (https://clinicaltrials.gov) and, for LoDoCo2, the Australian New Zealand Clinical Trials Registry (ANZCTR, https://www.anzctr.org.au; ACTRN12614000093684); reported findings from the cited publications.
7.1. Inhibition of Pathological NET Formation
Preventing excessive NET formation at its source is the most extensively studied therapeutic strategy. Multiple molecular checkpoints in the NET formation cascade offer potential intervention targets, including PAD4‐mediated chromatin decondensation, NADPH oxidase‐dependent ROS generation, and granular protease activation.
Given the central role of PAD4 in NET chromatin remodeling, pharmacological inhibition of PAD4 by Cl‐amidine and F‐amidine reduced plaque burden, delayed carotid thrombosis, and improved stroke outcomes [170, 218]. Targeted delivery approaches have further improved the therapeutic index of PAD4 inhibitors. In murine AS models, Collagen IV‐directed nanoparticles loaded with GSK484 selectively inhibited NET deposition at sites of intimal injury while preserving endothelial barrier function [217]. This nanoparticle‐based strategy may enhance local drug concentrations at vulnerable lesion sites and limit off‐target immunosuppression, although its scalability and clinical feasibility await further evaluation.
Oxidative stress is another important trigger for NET release. Vitamin C and its blood–brain barrier‐permeable derivative, dehydroascorbic acid, improved reperfusion cerebral blood flow and reduced mortality in experimental stroke models [223, 224, 249, 250]. Diphenyleneiodonium, an NADPH oxidase inhibitor, attenuated blood–brain barrier disruption, while edaravone dexborneol reduced infarct volume and improved neurological function in ischemic settings [225, 226]. These results suggest that ROS scavenging may indirectly limit NET formation during ischemic cardiovascular events, although the specificity of such interventions for NET‐related pathology has not been fully established.
Agents targeting granular proteases have also shown anti‐NET activity. Secretory leukocyte protease inhibitors suppress NETosis through inhibition of NE, and gallic acid reduces NET formation by attenuating free radical production [208, 209]. Several anti‐inflammatory compounds inhibit NET release through distinct mechanisms. The JAK2 inhibitor ruxolitinib suppressed NLRP3 inflammasome activation and reduced ischemic injury in preclinical stroke models [213]. Simvastatin, widely used for lipid‐lowering in CVD patients, decreased both infarct size and NET‐associated inflammation in experimental cerebral ischemia [216]. Of note, a pilot randomized controlled clinical trial demonstrated that high‐dose simvastatin improved neutrophil function and clinical outcomes in patients with pneumonia and sepsis [216]. This finding suggests that statins may exert clinically relevant anti‐NET effects beyond lipid modulation. More recently, neonatal NET‐inhibitory factors (nNIF) have been shown to suppress NET formation and improve neuronal survival and functional recovery after stroke in animal models [211, 212].
MPO is another attractive therapeutic target, given its dual role in NET formation and in generating cytotoxic reactive species that amplify vascular injury. First‐generation inhibitors such as 4‐ABAH reduced inflammation and plaque development in atherosclerotic mice [219]. The more selective irreversible MPO inhibitor AZM198 stabilized pre‐existing unstable atherosclerotic plaques in preclinical studies [220, 221, 222]. Importantly, the first‐in‐class clinical MPO inhibitor AZD4831 (mitiperstat) has completed a phase IIa trial (SATELLITE, NCT03756285) in patients with heart failure with preserved ejection fraction [244]. In that trial, it achieved over 50% reduction in MPO activity with an acceptable safety profile. A sequential Phase IIb/III trial (ENDEAVOR) is currently evaluating whether mitiperstat improves exercise capacity and symptoms in these patients [245]. These advances illustrate the clinical feasibility of targeting NET‐related enzymes in cardiovascular populations.
Several existing cardiovascular therapies also exhibit anti‐NET properties. Because platelet activation is required for platelet‐mediated NET release, aspirin can indirectly suppress NET formation and thereby slow AS progression. The anticoagulant heparin disrupts NET scaffolds with efficiency comparable to DNase I, raising the possibility that conventional anticoagulants may confer cardiovascular benefit partly through NET‐related mechanisms. Consistent with this, the COMPASS trial demonstrated that adding low‐dose rivaroxaban to aspirin reduced atherosclerotic events, cardiovascular mortality, and all‐cause death in patients with stable CAD [251]. Subsequent mechanistic analyses revealed that the Gla domain of factor X mediates its binding to activated neutrophils, promoting the formation of NET–FX complexes with enhanced procoagulant activity [252, 253, 254]. These findings suggest that rivaroxaban may protect against cardiovascular events not only through direct anticoagulation but also by disrupting the positive feedback loop between factor X and NETs.
7.2. Degradation and Clearance of Excessive NETs
Once formed, NETs propagate vascular injury through their DNA scaffolds and associated cytotoxic proteins. Strategies to dismantle these structures or neutralize their bioactive components therefore represent a complementary therapeutic approach.
Exogenous DNase I effectively degrades extracellular DNA and promotes thrombus resolution in preclinical models of arterial injury, diabetes, and ischemic stroke [143, 218], and DNase I‐based strategies confer significant cardioprotection [182]. However, native DNase I has low serum stability and is susceptible to inactivation by G‐actin, which limits its therapeutic utility. To address this, dual‐active DNase1 variants with enhanced activity against both free DNA and chromatin‐bound DNA have been engineered [228]. These modified enzymes represent a promising next‐generation approach for NET clearance, although their in vivo pharmacokinetics require further optimization [255]. Clinical translation of DNase‐based therapy is actively underway. Early studies showed that DNase enhances ex vivo thrombus dissolution in stroke patients [233]. Recombinant human DNase (dornase alfa), already FDA‐approved for cystic fibrosis, is currently being evaluated in ischemic stroke across multiple clinical trials. The EXTEND‐IA DNase trial (NCT05203224), a Bayesian dose‐finding Phase II study in Australia, is assessing intravenous dornase alfa as an adjunct to thrombolysis and thrombectomy in acute large‐vessel ischemic stroke (NCT05203224). A parallel Phase II trial (NETs‐target, NCT04785066) in France is evaluating dornase alfa for arterial recanalization in postthrombectomy patients. A separate randomized placebo‐controlled Phase II trial (NCT05880524) at Ludwig Maximilian University of Munich is testing whether intravenous DNase I reduces systemic immune activation after acute ischemic stroke. It should be noted that DNase‐based approaches primarily target the DNA scaffold and may not fully neutralize the proteinaceous effectors of NETs, such as histones and granular enzymes. This likely explains the variable efficacy of DNase across different disease models. In experimental aortic aneurysm, for instance, DNase failed to confer therapeutic benefit despite effective NET disruption, whereas Cl‐amidine treatment was protective [256]. These results suggest that in that context the protein components rather than the DNA scaffold itself serve as the principal effectors of pathology in that particular context. The choice between DNA‐targeted and protein‐targeted strategies may therefore depend on the dominant pathological mechanism at each disease stage.
Histones are the most abundant proteins associated with NET structures and exert potent cytotoxic and prothrombotic activity. Neutralization with antihistone antibodies stabilized atherosclerotic plaques in murine models [163]. Small polyanions displaced histones from NET scaffolds and alleviated cardiac ischemia–reperfusion injury [229]. More recently, cyclic histone interference peptides have been shown to limit lesional cell death and reduce myeloid cell recruitment to atherosclerotic plaques [257]. These histone‐targeted strategies may neutralize a major cytotoxic effector without completely dismantling the NET structure, potentially preserving residual antimicrobial function.
Other NET‐associated alarmins contribute to inflammatory amplification. HMGB1 released from NETs activates TLR4/NF‐κB signaling and sustains a cycle of neutrophil recruitment and tissue injury. Glycyrrhizin and berberine have been shown to attenuate this pathway, reducing neuronal apoptosis and inflammation in cerebral ischemia–reperfusion models [231, 232]. While promising as proof‐of‐concept, the clinical applicability of these natural compounds for NET‐related cardiovascular conditions remains to be determined.
7.3. Targeting NET‐Driven Downstream Signaling
Rather than targeting NETs directly, modulation of the downstream inflammatory and thrombotic cascades triggered by NETs represents a parallel therapeutic strategy. This approach may have broader applicability, as many NET‐driven pathways converge on common inflammatory mediators that also contribute to AS through NET‐independent mechanisms.
NETs recruit myeloid cells and amplify cytokine‐driven inflammation, thereby accelerating vascular injury [234]. Pharmacological inhibition of CCR2 signaling reduced monocyte adhesion, macrophage infiltration, and plaque growth in atherosclerotic mice, demonstrating that chemokine modulation can attenuate NET‐mediated inflammatory amplification [234]. Large‐scale clinical trials have provided proof‐of‐concept that targeting downstream inflammatory pathways improves cardiovascular outcomes. In the CANTOS trial, IL‐1β inhibition with canakinumab reduced MACE in patients with prior myocardial infarction and residual inflammatory risk [236, 237]. In the ASSAIL‐MI trial, IL‐6 receptor blockade with tocilizumab increased myocardial salvage in patients with STEMI [238]. Notably, a secondary analysis of this trial revealed that tocilizumab also reduced circulating NET markers, including dsDNA, MPO–DNA complexes, and citrullinated histone H3, providing a direct link between IL‐6 signaling and NET biology. The IL‐6 ligand itself is now being targeted. In the Phase II RESCUE trial, ziltivekimab, a monoclonal antibody targeting the IL‐6 ligand, produced marked reductions in inflammatory biomarkers in the phase II RESCUE trial among patients with chronic kidney disease (CKD) and elevated hsCRP [246]. Building on this, the ongoing ZEUS trial (NCT05021835), a multinational Phase III study enrolling 6376 participants with atherosclerotic CVD, CKD, and systemic inflammation, is now testing whether ziltivekimab reduces MACE [247]. If successful, ZEUS would provide a fully novel approach for secondary cardiovascular prevention in patients with CKD. Single‐cytokine blockade may nonetheless be incomplete. A CANTOS subanalysis showed that some patients retained residual inflammatory activation despite effective IL‐1β blockade, with persistent elevations in IL‐18 and IL‐6. This observation raises the possibility that NLRP3 inflammasome inhibition or combined IL‐1β/IL‐18 blockade may offer more complete anti‐inflammatory coverage than targeting a single cytokine alone [258].
Colchicine represents the most clinically advanced anti‐NET strategy. It suppressed NET formation in ACS patients undergoing PCI [240], and three landmark trials have defined its clinical profile (Table 2). COLCOT and LoDoCo2 demonstrated significant MACE reductions in post‐MI and chronic coronary disease settings, respectively [239, 241, 259], leading to FDA approval for secondary cardiovascular prevention. A meta‐analysis of five randomized trials (>11,000 patients) confirmed a 22% MACE reduction with long‐term low‐dose colchicine [258]. However, the CLEAR trial and a subsequent large‐scale randomized study reported neutral results when colchicine was initiated acutely after STEMI [243, 260], suggesting that the timing of initiation relative to the ischemic event critically influences efficacy. A recent preclinical study showed that colchicine inhibited NETs and attenuated cardiac remodeling in a murine acute MI model by reducing NOX2/ROS production and Ca2 + influx [261]. The mechanistic rationale therefore remains valid despite inconsistent acute‐phase clinical results. Other clinically tested agents include bivalirudin, which was associated with reduced NET release during PCI in patients with STEMI [235].
7.4. Precision and Stage‐Specific Intervention Strategies
A critical challenge in translating NET‐targeted therapies to clinical practice is matching the intervention to the disease stage. As discussed in Section 5, the dominant pathogenic role of NETs shifts across the atherosclerotic continuum, and their potential reparative contribution in the postinfarction setting further complicates therapeutic design. These considerations call for a calibrated, disease‐stage‐aware approach rather than uniform NET suppression. Several considerations inform the design of precision NET‐targeted interventions. First, the choice between formation inhibitors, scaffold degraders, and downstream signaling modulators should be guided by the dominant pathological mechanism at each disease stage. During stable AS, formation inhibitors (Sections 7.1 and 7.3) may be most appropriate [204]. During acute thrombotic events, when preformed NETs serve as scaffolds for thrombus expansion, DNase‐based degradation strategies may be more effective. In the postinfarction phase, targeting specific NET‐derived mediators, such as histones or HMGB1, may allow clinicians to limit tissue damage while preserving the reparative functions of neutrophils. As noted in Section 2.3, vascular NETs can persist for prolonged periods and undergo self‐renewal [44], adding further complexity to the temporal considerations in NET‐targeted therapy. Second, the safety of sustained NET inhibition requires careful evaluation, particularly given the antimicrobial functions of NETs. The key evidence and translational considerations regarding infection risk, species‐specific differences, and delivery selectivity are discussed in Section 8.2. Third, patient stratification based on NET biomarkers may improve therapeutic precision. As discussed in Section 6, circulating NET‐related markers have been associated with disease severity and prognosis in both stable CAD and ACS [204]. These biomarkers could potentially guide treatment decisions and enable treatment response monitoring, although the standardization and validation challenges discussed in Section 6.3 must first be addressed. Finally, the integration of emerging technologies is expected to refine our understanding of NET heterogeneity in cardiovascular tissues. Recent advances in single‐cell transcriptomics, spatial proteomics, and multiomics profiling have begun to reveal disease stage‐ and tissue‐specific NET signatures. For example, DNA‐sensing inflammasomes activated by NET‐derived DNA have been implicated in recurrent atherosclerotic plaque disruptions and cerebrovascular events [121]. These findings open new avenues for more selective interventions. Combining nanoparticle‐based targeted delivery, biomarker‐guided patient selection, and temporally defined treatment windows holds promise for transforming NET‐directed therapy from a broad anti‐inflammatory strategy into a precision medicine approach for CVD.
In summary, the therapeutic targeting of NETs in CVD has progressed from early preclinical studies to clinical evaluation. Multiple strategies are being actively explored, from formation inhibition to scaffold degradation to downstream signaling modulation. The dual nature of NETs as both pathological mediators and immune defenders, however, requires a careful, context‐aware approach. Future clinical studies that incorporate stage‐specific treatment algorithms, biomarker‐guided patient stratification, and targeted delivery systems will be essential to realize the full translational potential of NET‐directed cardiovascular therapy.
8. Knowledge Gaps, Challenges, and Future Perspectives
Although NETs have emerged as active participants in AS and CVD, many fundamental questions remain unanswered. Below, we discuss the major knowledge gaps, translational hurdles, and emerging technologies that may reshape the field (Figure 6).
FIGURE 6.

Framework for NET‐targeted therapy in atherosclerotic cardiovascular disease. (A) Context‐dependent NET biology governs the lifecycle of NETs, from formation in early plaques to clearance during thrombosis and post‐MI remodeling, all modulated by patient‐specific factors. (B) Translational hurdles and safety concerns arise from species differences, infection risks, and variable DNase responses; notably, NET measurements are highly sensitive to the sampling site. (C) Modern systems‐level approaches, including AI‐assisted multiomics and molecular probes, are essential to map NET‐associated niches. (D) The future of precision medicine lies in integrating biomarkers and multimodal imaging to tailor interventions, such as modulating NET formation or targeting specific effectors, to alleviate the thrombo‐inflammatory burden. *Created with BioRender.com. AI, artificial intelligence; DNase, deoxyribonuclease; MI, myocardial infarction; NETs, neutrophil extracellular traps.
8.1. Context‐Dependent Roles of NETs in Cardiovascular Biology
As established in preceding sections, the biological effects of NETs vary across vascular beds, disease phases, and patient populations [164]. Yet most studies have examined NET activity at a single time point or in a single vascular territory. How the balance between NET formation and clearance shifts across the atherosclerotic continuum is not well understood, and longitudinal analyses are needed to define the thresholds at which NETs transition from protective to injurious. As detailed in Section 4, NET components form an integrated pathological network whose combined vascular impact exceeds the sum of individual effects. The relative contribution of each component likely varies across the disease course, but whether specific NET molecular profiles, for example, histone‐rich versus protease‐rich, correspond to distinct clinical outcomes has not been systematically studied. aggNETs can paradoxically resolve rather than amplify inflammation [262], but the molecular rules governing this functional switch are not yet defined and will require direct comparisons of NET composition and density across different cardiovascular contexts. Substantial heterogeneity also exists among patients. Metabolic comorbidities modulate the neutrophil phenotype. Neutrophils from diabetic patients exhibit elevated PAD4 expression and increased susceptibility to NETosis, which may partly explain the accelerated AS observed in this population [263]. Aging similarly enhances NET‐forming capacity while impairing clearance [7]. Concurrent infection, as highlighted during the COVID‐19 pandemic, can amplify NET‐driven immunothrombosis in patients with underlying AS [264]. Quantifiable indicators of individual NET status, such as neutrophil surface markers including CD177 and CD66b, circulating PAD4 levels, and plasma NET remnant concentrations, may help stratify patients according to NET‐related cardiovascular risk. Establishing and validating such panels should be a priority for future clinical studies.
8.2. Translational Hurdles and Safety Considerations
Translating NET‐targeted therapies from bench to bedside faces several interconnected challenges. Most preclinical evidence comes from murine models with genetic deficiencies or pharmacological interventions such as Cl‐amidine and DNase I. Murine neutrophils differ from human neutrophils in lifespan, circulating counts, and NET structural composition. PAD4 deficiency in hematopoietic cells did not significantly alter plaque size in hypercholesterolemic mice despite reducing arterial thrombosis [87], raising questions about how faithfully these models predict human responses [265]. Safety is another concern. NETs serve essential roles in antimicrobial defense, and prolonged PAD4 blockade or global NET degradation with DNase I may increase infection susceptibility. PAD4‐deficient mice do not exhibit marked immunodeficiency under standard housing conditions [266], but this finding may not translate to chronically ill patients who face frequent pathogen exposure. Colchicine, which indirectly suppresses NETosis, offers a real‐world reference. In the COLCOT trial, a small numerical increase in pneumonia incidence was observed [239]. Long‐term safety data specifically addressing infection risk with NET‐targeted agents remain essential before these therapies enter routine clinical use. The variable performance of DNase I across disease models reflects the physical complexity of mature NETs. As noted in Section 2.3, the oxidative plaque environment impairs enzymatic degradation. Moreover, when integrated into thrombi or embedded within plaques, NET scaffolds are further shielded by histones and granule proteins, limiting enzymatic access [267]. Engineered DNase variants with enhanced activity, or combination strategies that target both the DNA backbone and cytotoxic NET‐bound proteins, may offer improved efficacy [228]. The therapeutic window for NET intervention also needs clarification. During AMI, NETs accumulate rapidly within coronary thrombi and contribute to microvascular obstruction, suggesting that early degradation may be beneficial. However, during the resolution phase of ischemia–reperfusion injury, premature NET clearance might disrupt reparative macrophage polarization and impair healing. This temporal complexity implies that treatment should be matched to the disease phase. In the acute setting, rapid‐acting interventions such as DNase I or antihistone antibodies could reduce thrombus burden. For chronic AS, sustained low‐intensity approaches such as low‐dose colchicine or selective PAD4 inhibitors may be better suited. Future trials should incorporate phase‐specific endpoints and serial NET biomarker monitoring.
8.3. Emerging Technologies and Systems‐Level Approaches
Recent technological advances offer new opportunities to address these gaps. Single‐cell RNA sequencing has revealed previously unrecognized neutrophil heterogeneity within atherosclerotic plaques, identifying subpopulations with distinct transcriptional programs [268]. A recently published integrated single‐cell atlas of human plaques, covering approximately 250,000 cells, identified plaque‐specific neutrophil markers that were undetectable in individual datasets [202]. Spatial transcriptomics extends these findings by mapping NET‐producing neutrophils within different plaque regions and showing how they interact with adjacent endothelial cells, macrophages, and smooth muscle cells in situ [203]. These spatially resolved datasets will be important for identifying the cellular neighborhoods most vulnerable to NET‐mediated injury.
Combining proteomic, metabolomic, and epigenomic profiling may reveal how NET molecular composition shifts across the atherosclerotic continuum and identify NET signatures associated with specific outcomes. Citrullinomics, the systematic profiling of citrullinated substrates, could uncover PAD4‐dependent pathways beyond chromatin decondensation that contribute to vascular pathology [269]. The intersection of NET biology with clonal hematopoiesis of indeterminate potential (CHIP) is also gaining attention. CHIP‐associated mutations in TET2 and DNMT3A enhance neutrophil inflammatory responses and may promote excessive NETosis [167]. Determining whether CHIP carriers exhibit heightened NET‐driven vascular injury could help refine individual risk assessment and guide treatment decisions.
Machine learning and artificial intelligence are increasingly applied to cardiovascular research and may accelerate progress in the NET field. Deep learning algorithms can integrate multiomics datasets to identify NET‐related molecular signatures that predict plaque vulnerability or adverse cardiovascular events [8]. AI‐assisted image analysis could automate the quantification of NETs in histological sections and spatial transcriptomics data, reducing operator‐dependent variability and enabling large‐scale studies. Computational drug screening platforms may also help identify selective PAD4 inhibitors or novel NET‐modulating compounds with favorable safety profiles [270]. As NET biology generates increasingly high‐dimensional data, these computational tools will become important for extracting clinically actionable insights.
Molecular probes for NET‐specific epitopes, including citrullinated histone H3 and MPO–DNA complexes, could enable noninvasive monitoring of NET burden in patients. They would also help evaluate therapeutic responses in clinical trials. Such probes are not yet available for clinical use, and their development represents an active area of research. Nanoparticle‐based drug delivery offers a complementary strategy. Targeted nanoparticles directed against Collagen IV exposed at erosion sites or against activated endothelial markers can deliver PAD4 inhibitors or DNase I selectively to diseased vascular segments [217]. This selectivity improves precision while minimizing off‐target effects. Challenges in bioavailability, hepatic clearance, and long‐term safety persist [18], but the concept holds considerable promise.
The future of NET‐targeted therapy lies in precision, phase‐specific interventions rather than a uniform approach. For patients with chronic stable AS and residual inflammatory risk despite optimized lipid‐lowering therapy, low‐dose anti‐inflammatory agents with indirect anti‐NET properties may be the most appropriate option. The clinical experience with colchicine validates the principle that anti‐inflammatory strategies with anti‐NET activity can reduce cardiovascular events in chronic coronary disease [239, 240, 241]. However, the neutral results in acute STEMI underscore the need for stage‐specific approaches; dedicated NET‐degrading agents with rapid onset of action, such as dornase alfa, warrant evaluation in the acute setting [233, 260]. As discussed in Section 6, the validation of circulating NET biomarkers for clinical decision‐making remains limited by assay standardization challenges and the absence of prospective companion diagnostic trials.
Together, these technological advances, from single‐cell atlases and spatial omics to AI‐driven analytics and targeted nanomedicine, are poised to enable more precise and individualized approaches to NET‐directed therapy. How these tools can be combined with stage‐specific treatment algorithms and biomarker‐guided patient stratification is addressed in the concluding section.
8.4. NETs as Targets in Precision Cardiovascular Medicine
The future of NET‐targeted therapy lies in precision, phase‐specific interventions. For patients with chronic stable atherosclerotic disease who retain residual inflammatory risk despite optimized lipid‐lowering therapy, low‐dose anti‐inflammatory agents with indirect anti‐NET activity may currently be the most practical option. In COLCOT, colchicine 0.5 mg daily reduced ischemic cardiovascular events after recent myocardial infarction [239], and in LoDoCo2, the same regimen reduced cardiovascular events in chronic coronary disease [271]. The 2023 FDA approval of low‐dose colchicine for secondary cardiovascular prevention was a milestone in anti‐inflammatory cardiology. Whether these benefits are partly mediated through NET suppression is an open question. Colchicine inhibits NET formation in patients with acute coronary syndrome [240], but its contribution relative to other anti‐inflammatory mechanisms has not been isolated. For patients presenting with acute coronary syndromes, more direct NET‐targeted approaches may be needed. Dornase alfa, a recombinant human DNase I currently under Phase II evaluation for ischemic stroke [272], could be repurposed for acute coronary interventions. However, the CLEAR‐Synergy trial reported neutral effects of colchicine in immediate STEMI (NCT03048825), underscoring that timing and patient selection will be critical. Future acute‐phase trials should test dedicated NET‐degrading agents with rapid onset. Biomarker‐guided selection adds a third dimension. Circulating MPO–DNA complexes, citrullinated histone H3, and cfDNA have been associated with plaque instability and adverse cardiovascular outcomes in observational studies and could in principle guide treatment decisions. However, analytical standardization of NET biomarker assays across laboratories is lacking, and no NET biomarker has been tested as a companion diagnostic in a randomized trial. Prospective validation in large, diverse cohorts remains an essential step before biomarker‐guided NET intervention becomes feasible.
Over the past two decades, research has established NETs as central mediators in the pathophysiology of AS and CVD. At the basic science level, the cooperative actions of NET components converge to promote endothelial injury, thrombo‐inflammation, and plaque instability. At the translational level, species differences, immune safety concerns, and the context‐dependent biology of NETs pose formidable barriers to clinical development. At the clinical level, colchicine has provided the first proof‐of‐concept that anti‐inflammatory strategies with anti‐NET activity can reduce cardiovascular events. In parallel, tools such as single‐cell atlases, spatial omics, AI‐driven analytics, and targeted nanomedicine are poised to enable more precise and individualized approaches. The path forward will require the integration of these advances. Mechanistic studies using multiomics and spatial technologies should define NET molecular signatures linked to specific disease outcomes. Translational programs should develop selective NET‐modulating agents and validate NET biomarkers in prospective cohorts. Clinical trials should adopt phase‐specific designs that match intervention intensity to disease acuity, with biomarker‐guided patient stratification. By connecting these three levels, from molecular mechanism through translational validation to clinical application, the field can move beyond broad immunomodulation toward precise targeting of pathological NET activity, and ultimately reduce the burden of atherosclerotic CVD.
9. Conclusions
AS remains a leading cause of cardiovascular morbidity and mortality worldwide [273]. This review has examined NET biology across the full pathological continuum of atherosclerotic CVD, from vascular homeostasis through atherogenesis and acute thrombotic events to postinfarction remodeling.
Three central themes emerge from this analysis. First, the pathogenic impact of NETs derives not from any single component but from the coordinated, scaffold‐mediated delivery of proteolytic, oxidative, immunostimulatory, and prothrombotic effectors at the vessel wall. This mode of action is structurally distinct from the diffuse mediator release by other inflammatory cells. Second, NET function is stage dependent, transitioning from inflammatory amplification to immunothrombotic scaffolding and ultimately to microvascular obstruction as disease progresses. This stage‐specificity argues against blanket NET suppression and instead calls for temporally matched therapeutic strategies. Third, NETs have a dual nature: they are protective in host defense yet pathogenic when dysregulated. This duality demands precision approaches that selectively limit pathological NET activity while preserving immune surveillance, a balance that current interventions have not yet achieved.
At the translational level, colchicine has provided the concept that anti‐inflammatory strategies with anti‐NET activity reduce cardiovascular events in chronic disease. Meanwhile, emerging therapies targeting NET scaffolds, specific components, and downstream signaling pathways are advancing through clinical evaluation. Circulating NET biomarkers show promise for risk stratification, although assay standardization and prospective validation remain essential. The integration of single‐cell and spatial omics, AI‐driven analytics, and targeted nanomedicine is poised to enable more precise, individualized approaches. Translating these advances into stage‐specific, biomarker‐guided interventions will be essential for realizing the therapeutic potential of NET modulation in cardiovascular medicine.
Author Contributions
Ji Zhang, Fangjiaqi Wei, and Mengdi Qu contributed to writing the original draft. Yuwen Shao and Tingye Xu contributed to writing and literature collection. Darko Stojkov provided critical revisions and scientific input on NET biology. Hao Zhang, Changhong Miao, Ben Huang, and Hans‐Uwe Simon supervised the work and assisted with the review and revision of the manuscript. All authors have read and approved the final manuscript.
Funding
This review was supported by the National Natural Science Foundation of China (No. 82472183), Shanghai Pujiang Talents Program (No. 21PJD013), and Shanghai Raising Star Program (24QA2707800).
Ethics Statement
The authors have nothing to report.
Conflicts of Interest
The authors declare no conflicts of interest.
Acknowledgments
We acknowledge the use of BioRender (https://www.biorender.com/) for creating Graphical Abstract and Figures 1, 2, 3, 4, 5, 6,
Contributor Information
Hans‐Uwe Simon, Email: hans-uwe.simon@unibe.ch.
Ben Huang, Email: huang.ben@zs-hospital.sh.cn.
Changhong Miao, Email: miaochanghong_zs@163.com.
Hao Zhang, Email: zhang.hao@zs-hospital.sh.cn.
Data Availability Statement
The authors have nothing to report.
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Data Availability Statement
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