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  • Review
  • Open Access

26 September 2026

36 Pages

Damage-Associated Molecular Patterns and Trained Immunity of Monocyte–Macrophage Populations in Osteoarthritis: Potential Molecular Links and Therapeutic Opportunities

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and
1
The First Clinical Medical College, Yunnan University of Chinese Medicine, Kunming 650500, China
2
College of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming 650500, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.

Highlights

What are the main findings?
  • Direct human evidence supports an HMGB1-associated trained phenotype in circulating monocytes from knee OA, although broader OA-specific validation remains limited.
  • DAMP sensing may converge with epigenetic and immunometabolic reprogramming to sustain altered monocyte–macrophage responsiveness in OA.
What are the implications of the main findings?
  • Evidence stratification is essential for distinguishing demonstrated OA-specific relationships from mechanisms extrapolated from other inflammatory conditions.
  • The interface between DAMP signaling and trained immunity provides testable targets, but causal and phenotype-specific validation is required before clinical translation.

Abstract

Osteoarthritis (OA) is now widely discussed as a whole-joint immunometabolic disease involving cartilage, synovium, and subchondral bone, rather than as cartilage degeneration driven only by mechanical stress. Tissue injury, cell death, mitochondrial dysfunction, and extracellular matrix degradation can lead to the persistent release of damage-associated molecular patterns (DAMPs), which activate innate immune responses through pattern recognition receptors (PRRs). A key unresolved issue is why inflammation can persist or recur when there is no continuous external stimulus. Trained immunity provides an emerging framework for approaching this problem, with initial direct evidence now available in circulating monocytes from knee OA but broader validation still lacking. Following an initial stimulus and a subsequent resting interval, monocytes and macrophages may retain epigenetic and metabolic alterations that modify their responses to later homologous or heterologous challenges. This review summarizes the sources of DAMPs and their recognition mechanisms in the OA microenvironment, with particular attention to their potential links with trained immunity in monocyte–macrophage populations. We discuss PRR-mediated changes in chromatin accessibility, histone modifications, DNA methylation, and non-coding RNA regulation, as well as immunometabolic events such as enhanced glycolysis, tricarboxylic acid cycle remodeling, mitochondrial dysfunction, and accumulation of key metabolites. We also examine how monocyte–macrophage populations with persistent hyperresponsiveness after stimulus withdrawal and restimulation may contribute to persistent synovitis, cartilage matrix degradation, and abnormal subchondral bone remodeling. Finally, we summarize therapeutic opportunities potentially relevant to the proposed links between DAMP signaling and trained immunity. Recent evidence that high-mobility group box 1 (HMGB1) primes a trained phenotype in circulating monocytes provides initial direct support for DAMP-associated trained immunity in knee OA. However, its generalizability across independent cohorts, other DAMP classes, myeloid-cell compartments, disease stages, and OA phenotypes remains to be established.

1. Introduction

Osteoarthritis (OA) is characterized by progressive cartilage degeneration, abnormal subchondral bone remodeling, synovial inflammation, and disruption of the local joint microenvironment. With a high prevalence, substantial disability burden, and prolonged disease course, OA represents an increasing global health challenge [1,2]. Traditionally, OA has been considered primarily a degenerative disorder caused by mechanical stress-induced cartilage wear. However, accumulating evidence indicates that OA is not merely a passive degenerative process but a chronic disease involving complex immune responses. Synovial inflammation, immune cell infiltration, and sustained production of inflammatory mediators are increasingly recognized as important contributors to structural damage and persistent pain [3]. Recent single-cell sequencing and transcriptomic studies have further demonstrated that OA-associated inflammation is not characterized by nonspecific immune activation, but rather by remodeling of myeloid cell populations, enhanced macrophage inflammatory programs, and altered intercellular communication networks [4]. Consistently, single-cell atlases of human knee joints have revealed an increased proportion of inflammatory pain-associated macrophages and a reduction in regenerative stem/progenitor cell populations within OA tissues, suggesting that immune dysregulation is deeply involved in joint degeneration [5].
During the development of persistent inflammation in OA, damage-associated molecular patterns (DAMPs) have been recognized as important upstream signals linking tissue injury to immune activation. DAMPs mainly originate from damaged cells, cell death processes, and extracellular matrix (ECM) degradation products. Under sterile conditions, these endogenous danger signals can be continuously recognized by pattern recognition receptors (PRRs), thereby amplifying innate immune responses and maintaining inflammatory imbalance within the OA joint microenvironment [6]. However, persistent DAMP exposure alone cannot fully explain why myeloid immune cells, particularly monocyte–macrophage populations, remain hyperresponsive upon subsequent stimulation. The concept of trained immunity provides a potential framework for understanding this phenomenon. Trained immunity refers to a long-lasting functional reprogramming state of innate immune cells following an initial stimulus, which enables enhanced responses upon secondary challenges [7]. Importantly, trained immunity should be distinguished from persistent immune activation caused by the continued presence of an initiating stimulus. Persistent activation depends on ongoing stimulation and generally subsides after the stimulus is removed, whereas trained immunity persists during a stimulus-free interval and is revealed by an altered response to subsequent restimulation. Therefore, the demonstration of trained immunity generally requires a training–rest–restimulation design and evidence that the altered functional state persists after withdrawal of the initial stimulus. This process is mainly regulated by coordinated epigenetic and metabolic reprogramming. Epigenetic alterations, including changes in chromatin accessibility, histone modifications, DNA methylation, and non-coding RNA regulation, reshape the transcriptional responsiveness and activation thresholds of inflammatory genes. Meanwhile, metabolic remodeling, characterized by enhanced glycolysis, tricarboxylic acid (TCA) cycle remodeling, mitochondrial alterations, and accumulation of key metabolites, contributes to the maintenance of trained states and regulation of inflammatory outputs [8,9].
Importantly, direct OA-specific evidence has recently begun to emerge. A recent study identified a trained phenotype in circulating monocytes from patients with knee OA and demonstrated that high-mobility group box 1 (HMGB1) contributes to this functional reprogramming [10]. This finding provides initial direct support for the proposed relationship between DAMP exposure and trained immunity in OA. Nevertheless, because the evidence currently derives from a limited number of studies, independent replication and extension to other DAMPs, myeloid-cell populations, joint compartments, and OA phenotypes remain necessary.
Although DAMP biology, synovial macrophage heterogeneity, immunometabolism, epigenetic regulation, and trained immunity have each been reviewed in OA or other chronic inflammatory diseases, these topics have generally been discussed as separate domains. Previous OA-centered reviews have primarily focused on the inflammatory effects and therapeutic targeting of individual DAMPs, whereas macrophage-centered reviews have emphasized cellular heterogeneity, polarization, and intercellular communication. In parallel, trained-immunity reviews have largely derived their mechanistic frameworks from infection, vaccination, atherosclerosis, and other inflammatory disorders. The distinctive contribution of the present review is therefore not a separate summary of these established fields, but an evidence-stratified integration of the sequence linking DAMP exposure, PRR-dependent sensing, monocyte–macrophage reprogramming, altered responsiveness to secondary challenge, and the persistence of inflammation in OA. This framework also distinguishes experimentally demonstrated OA-specific relationships from supportive observations and mechanistic extrapolations.
Against this background, this review critically evaluates the potential molecular links between DAMP exposure and trained immunity of monocyte–macrophage populations and examines whether these relationships may help explain the persistence and recurrence of inflammation in OA. We summarize the major sources of DAMPs and their recognition pathways in the OA microenvironment, with a focus on the monocyte–macrophage lineage because these cells combine DAMP sensing, functional plasticity, inflammatory amplification, and persistent functional reprogramming. We further discuss how epigenetic and metabolic reprogramming may jointly establish inflammatory memory and how this process could contribute to sustained synovitis, cartilage matrix degradation, and abnormal subchondral bone remodeling. Finally, we examine therapeutic opportunities arising from the potential links between DAMP signaling and trained immunity and discuss their translational relevance. Throughout the article, we distinguish direct OA evidence from mechanisms inferred from broader trained-immunity research, because trained immunity in OA is currently best regarded as a testable model rather than a fully established disease mechanism.

2. Literature Search Strategy

This narrative review was informed by literature searches conducted in PubMed and the Web of Science Core Collection from database inception to 31 July 2026. The search strategy combined terms related to osteoarthritis, trained immunity, monocyte–macrophage populations, DAMPs, PRRs, and epigenetic and metabolic reprogramming. The principal search terms included “osteoarthritis,” “knee osteoarthritis,” “trained immunity,” “innate immune memory,” “monocyte,” “macrophage,” “damage-associated molecular pattern,” “DAMP,” “HMGB1,” “S100A8/A9,” “extracellular matrix fragment,” “pattern recognition receptor,” “TLR,” “RAGE,” “NLRP3,” “epigenetic reprogramming,” “immunometabolism,” and “metabolic reprogramming.” These terms were used in different combinations to identify relevant studies. The reference lists of eligible articles and recent reviews were also screened to identify additional publications.
Evidence derived from human OA monocytes, macrophages, synovial tissue, or synovial fluid was prioritized. OA animal and in vitro studies were included to evaluate cell-specific and tissue-level mechanisms potentially linking DAMP signaling to trained immunity. Because several molecular features of trained immunity have not been directly investigated in OA, selected non-OA studies using established training–rest–restimulation paradigms were incorporated to define mechanistic plausibility. Such studies were explicitly identified as extrapolative evidence and were not considered direct evidence of trained immunity in OA. Particular attention was given to publications addressing the persistence of functional changes after stimulus withdrawal, responses to secondary challenge, and associated epigenetic or metabolic reprogramming.
To improve transparency, the evidence was classified into four categories: (A) direct human OA evidence, including functional or molecular evidence obtained from OA-derived monocytes or macrophages; (B) OA animal or in vitro evidence that supports individual components of the proposed pathway but does not establish the complete trained-immunity process; (C) trained-immunity evidence from non-OA human or experimental models; and (D) mechanistic inference or hypothesis. Epigenetic or metabolic abnormalities observed exclusively in OA chondrocytes or other non-myeloid cells were treated as contextual OA evidence rather than direct evidence of monocyte–macrophage trained immunity.

3. Sources, Release, and Sustained Accumulation of DAMPs in the Osteoarthritic Joint Microenvironment

DAMPs in the OA joint microenvironment arise from multiple pathological processes, including ECM fragmentation, cellular injury or death, crystal deposition, and mitochondrial dysfunction (Figure 1). Repetitive mechanical overload and incompletely resolved cartilage, meniscal, or ligament injury can continuously generate matrix fragments and cellular debris, particularly in post-traumatic OA. Their repeated release and inefficient clearance sustain low-grade innate immune activation through PRRs and may create conditions permissive for myeloid-cell training. Experimentally, intermittent DAMP pulses generated by repeated mechanical loading should be distinguished from uninterrupted DAMP exposure: temporally separated stimulation permits assessment of persistence during stimulus-free intervals, whereas continuous exposure primarily evaluates sustained activation, adaptation, or tolerance. However, evidence that a DAMP activates a PRR or induces inflammatory mediator production does not demonstrate that it produces a persistent memory state after stimulus withdrawal. Among the DAMPs discussed below, HMGB1 currently has the strongest direct evidence for inducing a trained monocyte phenotype in knee OA, whereas most ECM fragments, S100 proteins, crystals, and mitochondrial components have been shown primarily to activate or prime inflammatory pathways.
Figure 1. Sources and sensing pathways of DAMPs in the OA joint microenvironment. The four panels illustrate extracellular matrix degradation-derived DAMPs, cellular injury and alarmin release, crystal deposition and mitochondria-derived DAMPs, and the integration of danger-sensing and inflammatory pathways. TLRs and RAGE participate in cell-surface or endosomal danger-signal recognition, whereas NLRP3 functions downstream as a cytosolic inflammasome sensor and signaling platform responding to cellular disturbances rather than as a classical receptor that directly binds a specific extracellular DAMP. The pathways shown summarize DAMP generation, sensing, and inflammatory activation and should not be interpreted as evidence that all displayed DAMPs induce trained immunity.

3.1. ECM Degradation-Derived DAMPs

ECM degradation represents one of the earliest and most persistent sources of DAMPs during OA progression. Beyond reflecting structural deterioration, ECM breakdown generates bioactive matrix fragments known as matrikines, which possess immunomodulatory properties. Proteolytic fragments derived from ECM components, including collagen, aggrecan (ACAN), fibronectin (FN), and hyaluronan (HA), can serve as endogenous signals that continuously promote inflammatory and catabolic responses [11]. Among these molecules, the III13-14 domain of FN can activate TLR4 signaling in joint tissues and synergize with interleukin-1 (IL-1) and tumor necrosis factor (TNF) to amplify local inflammatory responses [12]. Similarly, ACAN-derived fragments can induce OA-associated pain phenotypes through TLR2, indicating that ECM fragments contribute not only to inflammatory persistence but also to disease-related symptoms [13].
The immunological activity of HA is also highly dependent on its molecular size. Low-molecular-weight HA (LMW-HA) preferentially activates the Toll-like receptor 4 (TLR4)/nuclear factor kappa B (NF-κB) axis and promotes inflammatory responses, whereas high-molecular-weight HA (HMW-HA) generally exhibits tissue-protective and immunoregulatory effects. However, fragmented HA does not consistently display DAMP-like pro-inflammatory activity across all arthritis models, suggesting that its biological effects are influenced by molecular size, cell type, and inflammatory context [14,15,16]. Therefore, ECM degradation products in OA should not be considered merely structural debris but rather biologically active sources that continuously deliver danger signals.

3.2. Cellular Injury, Necrosis, and Alarmin-DAMP Release

Cellular injury within the OA joint is accompanied by several forms of regulated cell death that differ in their capacity to release DAMPs. Mechanical stress, oxidative stress, and mitochondrial dysfunction can induce chondrocyte apoptosis, pyroptosis, necroptosis, and ferroptosis [17,18]. Classical apoptosis is generally non-lytic and may remain immunologically silent when apoptotic cells are efficiently removed through efferocytosis; substantial DAMP release becomes more likely when clearance is defective and apoptotic cells undergo secondary necrosis. In contrast, pyroptosis and necroptosis are inherently membrane-disruptive, whereas ferroptosis is associated with lipid peroxidation and progressive loss of membrane integrity. Membrane disruption or defective efferocytosis facilitates the extracellular release of intracellular molecules, including HMGB1 and S100 calcium-binding proteins A8/A9 (S100A8/A9), which can function as alarmins and promote sterile inflammation [17,18,19]. Thus, the magnitude and composition of DAMP exposure depend on both the mode of cell death and the efficiency of cellular clearance.
Unlike the transient inflammatory response associated with acute injury, continuous cell death and DAMP release in OA may establish a positive feedback loop that maintains prolonged immune activation within the joint. Clinical studies have shown that HMGB1, S100A8/A9, and receptor for advanced glycation end products (RAGE) levels are associated with OA activity, suggesting that these molecules represent components of a persistent pathological signaling axis rather than merely biomarkers of tissue damage [20,21]. Thus, the significance of alarmins extends beyond indicating the occurrence of tissue injury; they actively participate in maintaining the post-injury inflammatory state. Among these alarmins, HMGB1 currently has the strongest direct OA-specific evidence for inducing a trained phenotype in circulating monocytes [10], whereas comparable evidence for S100A8/A9 remains unavailable.

3.3. Crystal Deposition and Mitochondria-Derived DAMPs

In addition to soluble DAMPs, particulate danger signals contribute to the inflammatory environment of OA. Basic calcium phosphate (BCP) crystals can alter the metabolic state of monocyte-derived macrophages and promote a pro-inflammatory phenotype [22,23], while calcium pyrophosphate dihydrate (CPPD) crystals may coexist with OA and amplify episodic joint inflammation [24]. Monosodium urate (MSU) crystals should also be considered, particularly in patients with hyperuricemia or coexisting gout, because OA synovium may facilitate MSU deposition, cellular uptake, and subsequent inflammatory responses [25]. However, evidence that BCP, CPPD, or MSU crystals induce bona fide trained immunity in OA-derived myeloid cells is currently lacking.
Mitochondrial injury represents another important source of endogenous danger signals. Mitochondrial damage can lead to the release of mitochondrial DNA (mtDNA) into the extracellular environment. Studies have shown that mtDNA levels in synovial fluid are elevated following joint injury and correlate with cartilage damage severity, suggesting that mitochondrial disruption and extracellular nucleic acid release may serve as persistent stimuli contributing to inflammatory maintenance [26]. Moreover, mtDNA-associated genetic backgrounds have been linked to OA susceptibility, indicating that mitochondrial dysfunction may not merely accompany disease progression but may also contribute to disease predisposition [27]. Taken together, crystal deposition and mitochondria-derived DAMPs constitute a persistent and difficult-to-clear danger-signal reservoir within the OA joint and may sustain innate immune activation through continuous PRR engagement.

3.4. PRR-Mediated Sensing of DAMPs and Inflammatory Signal Integration

The transition from DAMP exposure to sustained inflammatory amplification requires receptor recognition and downstream signal integration. TLR4 is one of the major PRRs involved in DAMP sensing in OA. Activation of TLR4 induces transcriptional programs involving NF-κB, activator protein-1 (AP-1), and interferon regulatory factor 3 (IRF3), which are closely associated with the maintenance of low-grade inflammation within the joint microenvironment [28]. In addition to TLR4 signaling, the HMGB1/RAGE axis represents another important danger-sensing pathway in OA. RAGE not only mediates the recognition of HMGB1 and related ligands but also participates in chondrocyte regulation, inflammatory amplification, and tissue remodeling [29]. Although OA is generally characterized by sterile inflammation, endogenous DAMPs and microbial pathogen-associated molecular patterns (PAMPs) may converge on shared PRRs. Both systemic and synovial lipopolysaccharide (LPS) burdens have been associated with knee OA severity and local inflammation [30], while increased circulating LPS has also been observed in obesity-related OA [31]. Thus, low-grade PAMP exposure may cooperate with locally released DAMPs by increasing basal PRR signaling or lowering the threshold for subsequent myeloid-cell activation. However, these associations do not establish that combined DAMP–PAMP exposure induces trained immunity in OA-derived monocytes or macrophages.
Unlike cell-surface or endosomal danger-sensing receptors such as TLRs and RAGE, NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3) does not generally function as a classical receptor that directly binds a specific extracellular DAMP. Instead, NLRP3 acts as a cytosolic inflammasome sensor and signaling platform that responds to cellular disturbances generated downstream of diverse danger signals, including potassium efflux, lysosomal damage, mitochondrial dysfunction, and reactive oxygen species (ROS). Subsequent assembly of the NLRP3 inflammasome activates caspase-1, promotes IL-1β maturation, and contributes to inflammatory amplification and pain in OA [32]. Therefore, DAMPs in OA should not be viewed as isolated products of tissue injury. Instead, they participate in a broader inflammatory network involving cell-surface or endosomal danger-signal recognition, downstream NLRP3 inflammasome activation, and inflammatory amplification. These processes may create conditions permissive for trained immune reprogramming but do not, by themselves, demonstrate the establishment of trained immunity in monocyte–macrophage populations. However, ECM fragments, alarmins, crystals, and mtDNA should not all be considered established inducers of trained immunity merely because they trigger acute PRR activation or sustain inflammatory signaling. At present, direct OA-specific evidence supports HMGB1 as a trained-immunity-inducing DAMP in circulating monocytes [10], whereas the other DAMPs discussed above should be regarded as candidate training stimuli until validated using training–rest–restimulation designs. To complement the pathway-level overview shown in Figure 1, the cellular context, experimental models, and evidence level of the principal DAMP–PRR relationships discussed in this review are summarized in Table 1.
Table 1. Cellular context and evidence level of representative DAMP–PRR relationships in OA.

4. Biological Basis of Trained Immunity and Its Relevance to OA

Trained immunity is not simply a residual consequence of persistent inflammation. Rather, it is a persistent functional state acquired following an initial training stimulus, which, in sterile inflammatory diseases, may include DAMPs. Its defining feature is the reprogramming of cellular response thresholds and functional outputs, allowing subsequent challenges to elicit altered or amplified responses. In the context of OA, where chronic low-grade sterile inflammation persists within the joint microenvironment, this altered state may contribute to recurrent inflammatory activation and disease progression.

4.1. Core Characteristics and Biological Functions of Trained Immunity

Trained immunity is a form of innate immune memory characterized by enhanced responsiveness following an initial stimulus through persistent functional reprogramming. This process is primarily mediated by epigenetic and metabolic alterations that reshape transcriptional profiles and subsequent response patterns [33,34]. Unlike adaptive immune memory, trained immunity does not depend on antigen-specific recognition or clonal expansion. It also differs from endotoxin tolerance, which reduces cellular responsiveness following repeated stimulation [35,36]. Importantly, trained immunity is context-dependent and does not invariably promote inflammation. For example, alveolar macrophages can acquire a pro-resolution phenotype through Krüppel-like factor 4 (KLF4)–MER proto-oncogene tyrosine kinase (MERTK)-mediated efferocytosis [37]. Thus, trained immunity may amplify chronic sterile inflammation or, under different conditions, support tissue repair and inflammatory resolution.
Trained immunity can be induced by PAMPs or DAMPs. Cytokines and metabolic factors may further amplify or modify these programs but should be distinguished from the primary danger signals that initiate them. These stimuli activate PRR-dependent signaling and may induce persistent changes in cellular responsiveness [38,39]. In chronic sterile inflammatory conditions, DAMPs released from ongoing tissue damage may provide repeated or low-intensity training inputs [40,41]. However, the induction and durability of trained immunity depend on the identity, intensity, duration, and frequency of the stimulus, as well as the metabolic–epigenetic plasticity of the responding cells. Metabolic alterations provide substrates and cofactors for epigenetic regulation, while epigenetic modifications may stabilize the resulting functional state [42]. Trained immunity is not restricted to mature monocytes and macrophages. Evidence from non-OA models indicates that hematopoietic stem and progenitor cells (HSPCs) can retain epigenetic and metabolic alterations and transmit modified response programs to their myeloid progeny [43]. This progenitor-level training may contribute to the long-term persistence of innate immune memory, although it has not been directly demonstrated in OA. To distinguish trained immunity from persistent activation, transient priming, and immune tolerance, the operational criteria are summarized in Table 2.
Table 2. Operational criteria for distinguishing trained immunity from persistent activation and transient priming.
Accordingly, DAMP-associated trained immunity in OA should be tested using a defined training–rest–restimulation paradigm. OA-derived circulating monocytes or synovial macrophages should be exposed to a candidate DAMP, followed by stimulus washout and a defined resting interval before homologous or heterologous restimulation. Enhanced TNF, IL-1β, or IL-6 production should be accompanied, where possible, by persistent chromatin or metabolic changes assessed using assay for transposase-accessible chromatin using sequencing (ATAC-seq), histone H3 lysine 4 trimethylation (H3K4me3) and histone H3 lysine 27 acetylation (H3K27ac) profiling, metabolic-flux analysis, or metabolomics. Parallel continuous-stimulation and tolerance conditions are required to determine whether the observed phenotype represents memory rather than ongoing activation or reduced responsiveness.

4.2. Relevance of Trained Immunity to OA

OA provides a pathological environment compatible with the induction of trained immunity, including persistent DAMP exposure, chronic low-grade inflammation, and continuous remodeling of myeloid cell functions [44]. Aging, obesity, and metabolic dysfunction may modify this environment by increasing basal inflammatory tone, altering myeloid-cell metabolism, and impairing inflammatory resolution. Inflammaging may further lower the threshold at which repeated DAMP or PAMP exposure produces persistent changes in innate immune responsiveness. Obesity-associated factors are particularly relevant because circulating LPS is increased in obesity-related OA [31], and leptin can induce long-term hyperresponsiveness in human monocytes after stimulus withdrawal and restimulation [45]. These factors should therefore be regarded as modifiers of the probability, magnitude, and durability of innate immune training rather than as evidence of trained immunity by themselves.
Within this context, trained immunity offers a potential framework for understanding inflammatory persistence and recurrent disease progression in OA. Traditional models have largely attributed OA-associated inflammation to local tissue injury and inflammatory mediator release; however, this view does not fully explain why inflammatory responses persist or readily recur in certain patients. The trained-immunity concept suggests that initial injury events may alter the functional state of local immune cells, rendering them more sensitive to subsequent stimuli and establishing a sustained inflammatory predisposition [46]. At the cellular level, monocytes and macrophages exhibit substantial functional plasticity and represent key effector populations involved in trained immunity. Within the OA joint microenvironment, these cells participate in inflammatory signaling, tissue remodeling, and immune regulation, making them potential intermediates linking tissue injury, immune-state alteration, and disease progression. Of note, current evidence does not demonstrate that OA is entirely driven by trained immunity. Rather, OA displays several features compatible with trained immune responses, including persistent stimuli, appropriate responding cell populations, and a chronic relapsing trajectory [47]. Therefore, trained immunity may serve as a complementary framework for explaining the persistence and recurrence of OA-associated inflammation, while integrating with existing concepts of degeneration and inflammation.

5. Monocyte–Macrophage Populations Potentially Involved in Trained Immunity in OA

For DAMPs to be converted into persistent inflammatory responses in OA, they must be sensed and processed by myeloid cells capable of coordinating sequential processes including recruitment, recognition, amplification, and memory formation. Monocyte–macrophage populations represent a central cellular component of this proposed process. Following recruitment into the joint, circulating monocytes differentiate into synovial macrophages with context-dependent functional states and are further shaped by local DAMP exposure and intercellular signals. These changes may reflect activation, priming, or polarization and should be classified as trained immunity only when persistent altered responsiveness is demonstrated after stimulus withdrawal and restimulation. Thus, monocyte–macrophage populations serve as critical cellular mediators linking DAMP signaling to sustained immune reprogramming.

5.1. Recruitment and Functional Priming of Circulating Monocytes

The recruitment of circulating monocytes into OA joints is not a random process but is guided by specific chemokine axes. Among these, the C-C motif chemokine ligand 2/C-C motif chemokine receptor 2 (CCL2/CCR2) axis promotes monocyte recruitment, inflammatory propagation, and cartilage destruction, indicating that it represents a key pathway controlling monocyte infiltration during OA progression [48]. In addition, the C-C motif chemokine ligand 3/C-C motif chemokine receptor 1 (CCL3/CCR1) axis further facilitates the recruitment of CD14+CD16− circulating monocytes into inflamed synovial tissues and contributes to disease progression [49]. Of note, monocytes in OA are not maintained in a completely quiescent state. Human studies have shown that peripheral monocytes from patients with OA exhibit features of functional priming, including increased expression of CD16, CCR2, and human leukocyte antigen-DR (HLA-DR), together with enhanced production of TNF and IL-1β. These alterations are associated with inflammatory status, body mass index (BMI), and pain severity [50]. These findings indicate systemic activation or priming but do not establish trained immunity because persistence after removal from the OA inflammatory environment and altered responsiveness to subsequent stimulation were not assessed. More direct evidence has recently extended these observations from inflammatory priming to trained immunity. Single-cell transcriptomic analysis identified a distinct circulating monocyte subtype in patients with knee OA, characterized by increased expression of interleukin 1 alpha (IL1A), interleukin 1 receptor type 1 (IL1R1), TNF, several C-C and C-X-C motif chemokine ligands, and G0/G1 switch 2 (G0S2) [10]. These cells exhibited features of trained immunity and showed C-X-C motif chemokine receptor 4 (CXCR4)-dependent recruitment to the synovium, where they aggravated progressive synovial inflammation. These findings suggest that at least one component of OA-associated trained immunity may be established in circulating monocytes before their migration into the joint. However, whether this phenotype persists after monocytes differentiate into synovial macrophages or is shared by other circulating monocyte subsets remains unknown. At the synovial fluid level, CD14+ monocytes and soluble CD14 (sCD14) are also associated with OA progression. sCD14 can promote fibroblast-like synoviocytes (FLSs) to produce IL-6, IL-8, and matrix metalloproteinase-3 (MMP-3), while recurrent joint effusions contain increased proportions of CD14+ monocytes, suggesting that monocytes undergo functional alterations both before and after entering the joint environment [51]. Taken together, circulating monocytes currently represent the best-supported cellular compartment of trained immunity in OA. Recent evidence demonstrates that HMGB1 induces a trained phenotype in these cells and promotes their CXCR4-dependent migration into the synovium, thereby providing a potential peripheral-to-joint route for transferring trained inflammatory responses [10].

5.2. Functional Heterogeneity of Synovial Resident and Infiltrating Macrophages

Synovial macrophages are not a uniform population but rather represent a dynamic system composed of resident and infiltrating subsets with distinct origins and functional characteristics. Under homeostatic conditions, resident macrophages located in the synovial lining contribute to joint integrity by forming a protective barrier and removing cellular debris. These cells exhibit CX3C chemokine receptor 1 (CX3CR1)-associated residency characteristics and are linked to homeostatic programs involving MERTK, triggering receptor expressed on myeloid cells 2 (TREM2), and lymphatic vessel endothelial hyaluronan receptor 1 (LYVE1) [52,53]. During OA progression, this protective barrier is disrupted, accompanied by macrophage expansion and functional diversification. While some macrophage populations retain tissue repair and remodeling properties, others shift toward proliferative and inflammatory amplification programs [54]. Transcriptomic analyses of OA synovium have revealed enrichment of macrophage-associated inflammatory programs involving CCL3/CCR1, TNF, and macrophage migration inhibitory factor (MIF) pathways [4]. Moreover, synovial fluid-derived monocyte–macrophage lineage cells can be further classified into multiple subsets, including CD14+CD16− monocyte-like cells and CD14+CD16− macrophage-like cells, indicating that infiltrating cells do not represent a fixed terminal state but rather a continuously remodeled cellular spectrum within the synovial cavity [55]. In this context, resident macrophages are primarily associated with barrier maintenance, debris clearance, and inflammatory restraint, whereas infiltrating macrophages more closely resemble CCR2/CCR1-driven inflammatory effectors.
However, although the heterogeneity and plasticity of these populations identify the synovial compartment as a plausible local substrate for trained immunity, persistent trained states have not yet been demonstrated in either resident or recruited synovial macrophages using a training–rest–restimulation design. Long-lived, locally renewing resident macrophages represent a more plausible substrate for retaining inflammatory memory within the joint, whereas recruited monocyte-derived macrophages may transfer systemically acquired trained programs into the synovium.
Because circulating monocytes are relatively short-lived, long-term inflammatory memory in chronic OA is unlikely to reside exclusively in the same peripheral monocyte population. Its persistence may instead involve repeated recruitment of trained monocytes, self-maintaining resident synovial macrophages, reprogramming of bone marrow HSPCs, and sustained systemic metabolic or inflammatory signals. The relative contribution of these cellular substrates remains unresolved in OA.

5.3. Interactions Between Monocyte–Macrophage Populations and Joint Cellular Networks During Inflammatory Amplification

The central role of monocyte–macrophage populations in OA is also attributed to their position within the broader network of cellular interactions in the joint. OA synovial fluid can establish a pro-inflammatory niche that promotes a pro-inflammatory macrophage state, indicating that the local fluid environment itself is sufficient to reshape myeloid cell functions [56]. In animal OA models and human OA samples, studies of CD14+ macrophages have shown that CCR2-derived recruited macrophages can activate FLS through the oncostatin M/oncostatin M receptor (OSM/OSMR) signaling network, thereby establishing an inflammatory amplification loop between macrophages and synovial stromal cells [57]. At the clinical level, interventions targeting synovial macrophages and their functional states can alleviate OA-associated pain, suggesting that this cellular network contributes not only to structural damage but also to pain persistence [58]. In addition, OA synovial fluid biomarker profiles are consistent with inflammatory signatures associated with activated macrophages and neutrophils and correlate with structural damage and disease severity, indicating that monocyte–macrophage activation is integrated into the OA disease phenotype [59]. Therefore, monocyte–macrophage populations should not be considered isolated effector cells. Instead, they represent important regulatory nodes connecting DAMP stimulation, intercellular communication, and the maintenance of chronic inflammation in OA.

9. Current Limitations

Although direct evidence has emerged for HMGB1-associated training in circulating monocytes, the broader framework still relies substantially on indirect or extrapolated findings and requires validation across OA populations, disease stages, phenotypes, myeloid-cell compartments, and DAMP classes. Longitudinal studies are also needed to define the temporal relationships among DAMP exposure, trained immune phenotypes, tissue-level inflammatory memory, and OA progression. Second, the relative contributions of different myeloid-cell compartments remain unclear. Circulating monocytes currently have the strongest direct OA-specific support, whereas persistent training of resident or recruited synovial macrophages and hematopoietic progenitor cells has not been directly demonstrated in OA. Third, existing experimental models do not fully recapitulate the complexity of human OA progression. Most trained-immunity studies rely on short-term in vitro stimulation models or acute inflammatory animal models, which may not accurately represent the chronic process of sustained danger-signal exposure, trained-state maintenance, and cumulative tissue damage occurring in OA. Finally, patient heterogeneity has not been sufficiently incorporated into this framework. OA patients differ substantially in inflammatory burden, metabolic status, synovial responsiveness, pain sensitivity, and structural progression rates. Of note, trained immunity is unlikely to dominate all OA phenotypes and may instead represent a permissive immunological state that promotes persistent inflammation in susceptible OA endotypes. Current evidence remains insufficient to identify these patient subgroups or to establish trained immunity as a general mechanism of OA. Therefore, further studies integrating temporal and spatial immune profiling with patient-specific disease stratification are required.

10. Conclusions

Overall, accumulating evidence supports potential molecular links among persistent DAMP exposure, PRR-dependent signaling, functional alterations in monocyte–macrophage populations, epigenetic and metabolic reprogramming, and trained immunity in OA. This framework provides an integrated perspective for examining how these processes may contribute to persistent inflammation, progressive tissue damage, and disease evolution. Of note, this concept does not replace established pathogenic mechanisms involving mechanical loading, aging, metabolic abnormalities, and tissue degeneration. Rather, it complements these perspectives by considering adaptive remodeling of innate immunity alongside inflammatory amplification, persistent synovitis, cartilage degradation, and pathological subchondral bone remodeling. Within this framework, injury-associated changes in immune responsiveness represent one potential contributor to inflammatory persistence rather than an established unifying mechanism of OA. Initial direct evidence now supports trained immune reprogramming in knee OA, strengthening the biological basis of this framework. However, its applicability across OA phenotypes, joint compartments, DAMP classes, and disease stages remains unresolved and requires further validation.
Future studies should focus on strengthening causal validation and accelerating clinical translation of this model. First, the emerging direct evidence should be independently replicated to determine whether DAMP-induced trained states are reproducible across OA populations and whether similar responses can be induced by DAMPs other than HMGB1. Further studies should also clarify the relative contributions of circulating monocytes, recruited monocyte-derived macrophages, resident synovial macrophages, and bone marrow HSPCs to inflammatory memory. Second, future investigations should establish more direct mechanistic links between trained immune states and tissue-level pathological outcomes. Specifically, it remains critical to determine whether and how heightened responsiveness of monocyte–macrophage populations contributes to recurrent synovitis, ECM degradation, and dysregulated subchondral bone remodeling. Third, integration of single-cell sequencing, multi-omics approaches, spatial omics, and clinical stratification analyses will be essential for identifying OA subgroups characterized by high inflammatory burden and hyperresponsive immune states. Based on such stratification, combined therapeutic strategies targeting DAMP reduction, PRR desensitization, epigenetic and metabolic reprogramming, and macrophage functional-state modulation may enable the transition from mechanistic hypotheses toward precision disease modification and individualized intervention.

Author Contributions

Conceptualization, J.X., Z.X. and Z.L.; methodology, J.X., Z.X. and Z.L.; writing—original draft preparation, J.Z. and B.C.; writing—review and editing, J.Z., J.X., Z.X. and Z.L.; data curation, Y.X., H.Y. and N.X.; project administration, J.X.; supervision, Z.X.; funding acquisition, Z.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (No. 82374427) and the Yunnan Province Major Science and Technology Special Plan Biomedical Special Project (No. 202402AA310028).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

All figures were created using BioRender (https://www.biorender.com/).

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ACANaggrecan
AKTprotein kinase B
AMPKAMP-activated protein kinase
AP-1activator protein-1
ATAC-seqassay for transposase-accessible chromatin using sequencing
ATPadenosine triphosphate
BCGBacillus Calmette–Guérin
BCPbasic calcium phosphate
BMIbody mass index
BRD4bromodomain-containing protein 4
C/EBPβCCAAT/enhancer-binding protein beta
CCL2C-C motif chemokine ligand 2
CCL3C-C motif chemokine ligand 3
CCR1C-C motif chemokine receptor 1
CCR2C-C motif chemokine receptor 2
CD11bcluster of differentiation 11b
CD14cluster of differentiation 14
CD16cluster of differentiation 16
circRNAcircular RNA
CPPDcalcium pyrophosphate dihydrate
CX3CR1C-X3-C motif chemokine receptor 1
CXCR4C-X-C motif chemokine receptor 4
DAMPdamage-associated molecular pattern
DNAdeoxyribonucleic acid
dsRNAdouble-stranded RNA
ECMextracellular matrix
FLSfibroblast-like synoviocyte
FNfibronectin
FoxOforkhead box O
FXRfarnesoid X receptor
G0S2G0/G1 switch 2
H3K4me3histone H3 lysine 4 trimethylation
H3K27achistone H3 lysine 27 acetylation
H3K36me1/2histone H3 lysine 36 mono-/dimethylation
HAhyaluronan
HDAChistone deacetylase
HIF-1αhypoxia-inducible factor 1 alpha
HLA-DRhuman leukocyte antigen-DR
HMGB1high-mobility group box 1
HMW-HAhigh-molecular-weight hyaluronan
HSPChematopoietic stem and progenitor cell
IDH3αisocitrate dehydrogenase 3 alpha
ILinterleukin
IL1Ainterleukin 1 alpha
IL1R1interleukin 1 receptor type 1
IPLimmune gene-priming long non-coding RNA
IRF1interferon regulatory factor 1
IRF3interferon regulatory factor 3
KDM5lysine demethylase 5
KLF4Krüppel-like factor 4
LDHAlactate dehydrogenase A
LIFleukemia inhibitory factor
LMW-HAlow-molecular-weight hyaluronan
lncRNAlong non-coding RNA
LPSlipopolysaccharide
LYVE1lymphatic vessel endothelial hyaluronan receptor 1
MAPKmitogen-activated protein kinase
MD-2myeloid differentiation protein 2
MERTKMER proto-oncogene, tyrosine kinase
MGMTO6-methylguanine-DNA methyltransferase
MIFmacrophage migration inhibitory factor
miRNAmicroRNA
MMPmatrix metalloproteinase
MRImagnetic resonance imaging
MSCmesenchymal stem cell
MSUmonosodium urate
mtDNAmitochondrial DNA
mTORmechanistic target of rapamycin
MyD88myeloid differentiation primary response 88
NF-κBnuclear factor kappa B
NLRP3NOD-, LRR- and pyrin domain-containing protein 3
NSD1nuclear receptor-binding SET domain protein 1
OAosteoarthritis
OSMoncostatin M
OSMRoncostatin M receptor
oxLDLoxidized low-density lipoprotein
OXPHOSoxidative phosphorylation
PAMPpathogen-associated molecular pattern
PI3Kphosphoinositide 3-kinase
PRRpattern recognition receptor
RAGEreceptor for advanced glycation end products
RNAribonucleic acid
ROSreactive oxygen species
S100A8/A9S100 calcium-binding proteins A8/A9
sCD14soluble CD14
Siglec-5sialic acid-binding immunoglobulin-like lectin 5
SOCS2suppressor of cytokine signaling 2
SOX9SRY-box transcription factor 9
SUMOsmall ubiquitin-like modifier
TCAtricarboxylic acid cycle
TLRToll-like receptor
TNFtumor necrosis factor
TREM2triggering receptor expressed on myeloid cells 2
TRIM28tripartite motif-containing protein 28

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