- 1Department of Rheumatology and Immunology, Graduate School of Anhui University of Chinese Medicine, Hefei, Anhui, China
- 2Department of Rheumatology and Immunology, Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China
Osteoarthritis (OA) is a highly prevalent and debilitating degenerative joint disorder worldwide, characterized by complex pathogenesis and a lack of effective disease-modifying therapies. The traditional perspective has evolved from a simplistic “cartilage wear” model to a “whole-joint” pathology encompassing synovitis, aberrant subchondral bone remodeling, and chondrocyte death. In recent years, ferroptosis has emerged as a critical player in OA pathogenesis because of its unique regulatory mechanisms. Accumulating evidence indicates that ferroptosis contributes to OA progression through core processes, including intracellular iron overload, antioxidant system collapse, and excessive lipid peroxidation. These events not only directly trigger chondrocyte death and extracellular matrix degradation but also exacerbate bone metabolic imbalance through intricate signaling networks. Notably, the proposed “iron overload–inflammation–bone metabolism” vicious cycle underscores the central role of ferroptosis in linking cartilage degeneration to abnormal subchondral bone remodeling, providing a novel conceptual framework for understanding the “cartilage–bone” axis in OA. This review systematically outlines the molecular mechanisms of ferroptosis and its functional roles in OA chondrocytes and bone metabolism, emphasizing the pathological implications of this vicious cycle. We further discuss preclinical advances in targeting ferroptosis as a therapeutic strategy, analyze the challenges in clinical translation, and highlight future directions to inform the development of precise OA treatments.
1 Introduction
Osteoarthritis (OA) ranks among the leading global causes of disability and diminished quality of life, with its disease burden escalating steadily due to population aging and lifestyle changes. According to recent epidemiological data, the global prevalence of OA reached 595 million in 2020, representing an increase of over 100% since 1990, and is projected to exceed 1 billion by 2050 (GBD 2021 Osteoarthritis Collaborators, 2023). The age-standardized prevalence remains highest in high-income regions, such as North America and Europe, whereas the most rapid growth in disease burden is observed in high-income Asia-Pacific regions. This pattern likely reflects the complex interactions among socioeconomic development, demographic aging, and shifting obesity trends (GBD 2021 Osteoarthritis Collaborators, 2023). Age is the strongest non-modifiable risk factor for OA. Although the incidence peaks in the 50–64 age group, the most rapid annual increase occurs among middle-aged adults (35–49 years) (Wu et al., 2025), indicating that OA is no longer exclusively a disease of the elderly. Regarding sex differences, women face a substantially higher risk of developing OA than men. A large-scale systematic review reported a female-to-male prevalence ratio of approximately 1.7:1 (Di et al., 2024). This significant gender difference is believed to be related to the weakened protective effect of estrogen on joint cartilage and bones after menopause due to decreased estrogen levels (Li and Zheng, 2022).
The pathological understanding of OA has evolved from a “traditional cartilage-centric view” to a “whole-joint” disease concept, emphasizing the coordinated involvement of multiple articular tissues. The disease process simultaneously involves the synovium, subchondral bone, ligaments, and periarticular muscles, forming a dynamically interacting pathological network. Metabolic homeostasis in chondrocytes is critically disrupted in articular cartilage. Driven by aging, mechanical stress, or inflammation, the activities of proteases such as matrix metalloproteinases (MMPs) and ADAMTS are enhanced, accelerating the degradation of extracellular matrix (ECM) components including type II collagen and aggrecan, while simultaneously impairing their synthesis. This creates a state of “net degradation,” ultimately leading to cartilage fibrillation, fissuring, and full-threshold defects (Molitoris et al., 2024). Synovitis, once considered a secondary change, is now recognized as a key driver of OA progression. Danger signals, including cartilage degradation products, are recognized by synovial macrophages, activating pathways such as NF-κB and triggering the release of pro-inflammatory cytokines (e.g., IL-1β, TNF-α, and IL-6) and chemokines. These factors further suppress cartilage ECM synthesis and induce additional MMP production, thereby establishing a vicious cycle (Feng and Wu, 2022). Aberrant subchondral bone remodeling constitutes another critical component of OA pathology. During OA progression, bone remodeling shifts from normal homeostasis to an abnormal high-turnover state, characterized by the uncoupling of bone formation and resorption. Dysfunction of osteoclasts (OCs) and osteoblasts (OBs) represents a core mechanism underlying this dysregulation. Enhanced osteoclast activity exacerbates bone resorption (Du et al., 2023), while defective osteoblast differentiation impairs bone repair (Ren et al., 2021). The resulting imbalance between bone resorption and formation during remodeling promotes subchondral bone sclerosis and osteophyte formation (Qiao et al., 2021). Such abnormal remodeling not only compromises the mechanical support of the subchondral bone but also releases various factors that further aggravate cartilage degradation.
In recent years, ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has garnered significant attention for its pivotal role in inflammatory and degenerative diseases (Yan et al., 2021). The core mechanisms of ferroptosis involve glutathione peroxidase 4 (GPX4) inactivation, iron accumulation, and excessive peroxidation of polyunsaturated fatty acids (PUFAs), ultimately generating lethal lipid peroxides (Berndt et al., 2024; Tang et al., 2021). Recent clinical investigations have revealed significantly elevated iron concentrations in synovial fluid samples from patients with OA compared to healthy controls, with levels positively correlating with disease severity (Nugzar et al., 2018; Yao et al., 2021; Cai et al., 2021; Miao et al., 2022), suggesting the potential involvement of ferroptosis in OA pathology. In addition, a complex interplay exists between ferroptosis and bone metabolism. Early studies have demonstrated that reactive oxygen species (ROS) accumulation resulting from iron overload can simultaneously inhibit bone formation and promote bone resorption (Tsay et al., 2010). Moreover, ferroptosis in OCs disrupts bone metabolism by reducing their activity (Qu et al., 2021), indicating the critical regulatory role of ferroptosis in bone metabolism. However, the molecular mechanisms linking ferroptosis to OA-related bone metabolic imbalance remain unclear, and its precise role within the cartilage-bone microenvironment requires further investigation. Therefore, systematic investigation of the interactive mechanisms between ferroptosis and OA bone metabolism will not only contribute to refining the pathogenic theory of OA but also provide innovative targets for precision therapy, holding significant clinical translational potential.
2 Molecular mechanisms of ferroptosis
Ferroptosis is an iron-dependent form of regulated cell death driven by lipid peroxidation. It is distinct from apoptosis, necrosis, and autophagy, primarily characterized by the collapse of antioxidant defenses due to GPX4 inactivation and the irreversible accumulation of PUFAs (Stockwell et al., 2017). Since its initial definition by Dixon et al., in 2012, ferroptosis has emerged as a frontier in cell death research (Dixon et al., 2012).
2.1 Antioxidant system imbalance: collapse of ferroptosis defense
The initiation of ferroptosis is closely associated with the failure of intracellular antioxidant defense systems, with the System xc-/GSH/GPX4 axis playing a central regulatory role (Dixon et al., 2012). System xc-, a cystine/glutamate antiporter composed of SLC3A2 and SLC7A11 subunits, mediates the cellular uptake of cystine, providing the essential substrate for glutathione (GSH) synthesis (Banjac et al., 2008; Tu et al., 2021; Doll et al., 2017). GSH, a crucial antioxidant, facilitates the elimination of lipid reactive oxygen species (ROS) via GPX4. GPX4 is the unique enzyme capable of directly reducing phospholipid hydroperoxides (PLOOH); its inactivation leads to irreversible lipid ROS accumulation, thereby inducing ferroptosis (Bersuker et al., 2019; Benhar, 2020). For instance, the ferroptosis inducer erastin disrupts GSH synthesis by inhibiting SLC7A11, consequently suppressing GPX4 activity (Figure 1A). Additionally, the transcription factor Nrf2 suppresses ferroptosis by regulating the expression of GPX4 and GSH-related genes (Ezraty et al., 2017; Soeur et al., 2015; Yang et al., 2022).
Figure 1. Core molecular mechanisms of ferroptosis. (A) Collapse of the antioxidant system. System Xc−, composed of SLC3A2 and SLC7A11, facilitates cystine import to sustain glutathione (GSH) synthesis. GPX4 utilizes GSH to scavenge reactive oxygen species (ROS). Inactivation of GPX4 leads to the irreversible accumulation of lipid peroxides. The ferroptosis inducer erastin inhibits system Xc−, depleting GSH and triggering ferroptosis. (B) Iron homeostasis imbalance. Transferrin receptor 1 (TFR1) mediates iron influx. Within endosomes, Fe3+ is reduced to Fe2+ by STEAP3 and released into the cytosolic labile iron pool (LIP) via divalent metal transporter 1 (DMT1). Ferritin (e.g., FTH1) iron storage is facilitated by chaperones PCBP1/2. Ferritinophagy, mediated by NCOA4, releases free Fe2+, which catalyzes ROS generation via the Fenton reaction. The iron efflux protein ferroportin (FPN, SLC40A1) is transcriptionally activated by MTF1 to maintain iron homeostasis. Phosphorylation of MTF1 by the ATM kinase inhibits its nuclear translocation, leading to downregulation of SLC40A1, iron overload, and consequent joint damage. (C) Accumulation of lipid peroxidation. Polyunsaturated fatty acids (PUFAs) are activated to PUFA-CoA by ACSL4 and then esterified into phospholipids such as phosphatidylethanolamine (PE) by LPCAT3, forming PUFA-containing phospholipids (PUFA-PLs). The peroxidation of these PUFA-PLs, catalyzed by lipoxygenases (LOXs), executes ferroptosis.
2.2 Iron homeostasis dysregulation: free iron accumulation and ferroptosis induction
Concurrently, dysregulation of intracellular iron homeostasis represents another critical event in ferroptosis triggering (Chen X. et al., 2020; Ru et al., 2024). Increased uptake via transferrin receptor 1 (TFR1) or the release of stored iron mediated by ferritin autophagy (key regulatory factor NCOA4) can lead to the expansion of the labile iron pool (LIP) (Guo et al., 2021; Ito et al., 2021; Li JY. et al., 2024). Excess Fe2+ catalyzes the generation of substantial ROS through the Fenton reaction, exacerbating lipid peroxidation (Li et al., 2021). The sole cellular iron exporter, ferroportin (FPN, encoded by SLC40A1), exerts protective effects by maintaining iron homeostasis through MTF1-mediated transcriptional activation. However, ATM kinase can phosphorylate MTF1, inhibiting its nuclear translocation, downregulating SLC40A1 expression, and ultimately promoting iron overload (Montalbetti et al., 2013; Zhang et al., 2024; Xiao et al., 2023) (Figure 1B).
2.3 Lipid peroxidation: the executioner of ferroptosis
Ultimately, lipid peroxidation directly targets polyunsaturated fatty acid-containing phospholipids (PUFA-PLs) in cellular membranes. This process involves ACSL4 (acyl-CoA synthetase long-chain family member 4) and LPCAT3 (lysophosphatidylcholine acyltransferase 3), which mediate the esterification of PUFAs into membrane phospholipids. Subsequent peroxidation is catalyzed by lipoxygenases (LOXs) (Doll et al., 2017; Wang and Chen, 2022; Das, 2019) (Figure 1C). Under physiological conditions, the GPX4-GSH system reduces lipid peroxides, thereby suppressing ferroptosis (Koppula et al., 2021). When GPX4 activity is inhibited or GSH is depleted, accumulated lipid peroxides trigger cell death. Moreover, the protein FAF1 can sequester free PUFAs, limiting their interaction with iron and preventing lipid peroxidation (Cui et al., 2022).
In summary, lipid peroxide accumulation is the core driving force of ferroptosis. The precise regulation of iron metabolism, amino acid metabolism, and lipid metabolism collectively determines the initiation and progression of ferroptosis. Targeting these metabolic pathways may offer novel therapeutic strategies for various ferroptosis-related diseases, mitigating its detrimental effects.
3 Pathological features of osteoarthritis and bone metabolic imbalance
Osteoarthritis is a common chronic joint disorder characterized by cartilage degeneration, osteophyte formation, and alterations in periarticular tissues. These pathological changes interact synergistically, collectively contributing to the clinical manifestations of OA. OA was traditionally viewed as a simple “wear and tear” disorder of cartilage, but is now recognized as a metabolic and inflammatory disease involving the entire joint organ, including cartilage, subchondral bone, synovium, and ligaments. In this context, abnormal bone metabolism plays a pivotal role in OA progression.
3.1 Cartilage degeneration and osteophyte formation
Cartilage degeneration constitutes the core pathological foundation of OA, manifesting as a progressive loss of articular cartilage structure and function, leading to joint pain and functional impairment. During disease progression, chondrocytes undergo degeneration, ECM synthesis is markedly reduced, and these processes are accompanied by inflammatory cell infiltration and cytokine release, collectively accelerating cartilage damage (Aso et al., 2019). Cell death, particularly chondrocyte death, represents a critical event in OA pathology, involving multiple pathways including apoptosis and ferroptosis (Xiang et al., 2023). The mechanistic role of ferroptosis in OA and its relationship with joint tissue pathology warrant further investigation. Furthermore, MMP-mediated degradation of the cartilage matrix is a key mechanism underlying cartilage degeneration in OA. MMPs, a family of enzymes capable of degrading ECM proteins, target collagens, aggrecan, and other non-collagenous proteins (Molitoris et al., 2024). Aberrant expression and enhanced activity of MMPs during OA pathogenesis lead to structural destruction of the cartilage. Specific isoforms, including MMP-1, MMP-3, MMP-9, and MMP-13, are markedly upregulated and effectively degrade key cartilage components, such as type II collagen and aggrecan (Molitoris et al., 2024) (Figure 2A).
Figure 2. Pathological features of OA and imbalance in bone metabolism. (A) Cartilage degeneration. During the progression of OA from a normal joint, a series of pathological changes occur. Pro-inflammatory cytokines (e.g., IL-1β, TNF-α) and ferroptosis induce chondrocyte injury and exacerbate cartilage degradation. Aberrant activation of matrix metalloproteinases (MMPs), particularly elevated levels of MMP-1, MMP-3, MMP-9, and MMP-13, leads to the targeted degradation of type II collagen and aggrecan. This disrupts the extracellular matrix (ECM) structure and accelerates cartilage damage. (B) Dynamic evolution of bone metabolism during OA progression. This schematic illustrates the dynamic changes in bone metabolism from normal to late-stage OA. In the early phase, both bone resorption and formation are enhanced, leading to active bone remodeling. In the late phase, bone turnover decreases with a relative dominance of bone formation, resulting in increased bone density, trabecular thickening, and osteosclerosis. Aberrant remodeling further triggers osteophyte formation at joint margins, characterized by new bone apposition in response to increased mechanical stress. (C) Key regulators of bone metabolism in OA: β-CTX, PINP, and N-MID. Long non-coding RNA H19 is upregulated in OA patients. It disrupts bone metabolic balance by promoting osteoclast (OC) activity (thereby upregulating β-CTX, a marker of bone resorption) and suppressing osteoblast (OB) function (thus downregulating bone formation markers PINP and bone mineralization marker N-MID). Alterations in these biomarkers (β-CTX, PINP, N-MID) collectively reflect pathological processes in OA, such as cartilage degradation and osteophyte formation, and hold significant value for the diagnosis, prognostication, and monitoring of therapeutic responses in the disease.
Subchondral bone, providing mechanical support for the articular cartilage, consists of the subchondral plate and trabecular bone, maintaining homeostasis through osteoclast-mediated bone resorption and osteoblast-mediated bone formation (Ajami et al., 2022; Li G. et al., 2013). During OA progression, the subchondral bone undergoes significant pathological changes: the early stage is characterized by active bone remodeling with increased bone resorption and formation, while the late stage shows reduced bone turnover with further diminished resorption and relatively predominant formation, leading to increased bone density, trabecular thickening, sclerosis, and subsequent osteophyte formation (Li X. et al., 2024; Donell, 2019; Hu W. et al., 2021) (Figure 2B). This aberrant remodeling not only alters the mechanical support for articular cartilage but also participates in joint metabolism and pain perception via neurovascular invasion (Hu Y. et al., 2021). Notably, pathological changes in the subchondral bone directly trigger osteophyte formation, which are bony outgrowths at joint margins considered an adaptive response to joint instability and increased mechanical stress (Aso et al., 2019). However, excessive osteophyte formation can restrict joint movement, compress surrounding neural tissues, exacerbate pain, and further impair joint function, establishing a vicious cycle.
3.2 Key regulators of bone metabolism in OA
Bone metabolism is a complex process involving multiple cell types and regulatory factors. The dynamic balance between osteoblasts (responsible for bone matrix synthesis and formation) and osteoclasts (mediating bone resorption and remodeling) is particularly important (Choi et al., 2024). Key biomarkers, including total procollagen type I N-terminal propeptide (T-PINP), N-terminal mid-fragment osteocalcin (N-MID), and β-C-terminal telopeptide of type I collagen (β-CTX), are closely associated with bone metabolism. 25-hydroxyvitamin D (25(OH)D), a key indicator of vitamin D status, is increasingly recognized for its regulatory role in OA pathology.
β-CTX, a degradation product of type I collagen reflecting osteoclast activity, holds significant value in OA prediction (Chen et al., 2023). Recent studies have elucidated the important role of β-CTX in OA progression from various perspectives. Multiple studies have confirmed that β-CTX (including CTX-I and CTX-II) serves as an important biomarker for OA diagnosis and disease progression monitoring (He et al., 2017). Its levels correlate with the extent of articular cartilage damage, and in knee OA, it is used alongside other markers for diagnosis and as an objective indicator for treatment response evaluation (Kothari et al., 2022; Ma et al., 2021; Xie et al., 2023; Gupte et al., 2019). In OA therapeutic research, changes in β-CTX levels reflect the efficacy of treatment. For instance, treatment with natural compounds such as Dalbergia Sissoo extract, puerarin, achyranthoside D, and galangin significantly reduced serum or urinary CTX-I and CTX-II levels, changes associated with attenuated cartilage damage, improved OARSI scores, and reduced bone degeneration (Kothari et al., 2022; Ma et al., 2021; Xie et al., 2023; Su et al., 2021). Furthermore, vitamin D influences CTX-II levels by modulating type II collagen turnover, further underscoring the importance of β-CTX in assessing cartilage metabolic status (Li et al., 2016). As a bone turnover marker, dynamic changes in β-CTX levels reflect bone metabolic processes in OA. This dynamic characteristic elucidates key aspects of OA pathology and informs the development of targeted therapeutic approaches. Consequently, β-CTX possesses substantial clinical value for the diagnosis, prognosis, and monitoring of OA. A deeper understanding of these mechanisms is crucial for developing novel therapies and improving patient outcomes.
Type I collagen, a hallmark molecule of fibrocartilage, is involved in OA pathogenesis and constitutes a major component of the bone, tendons, and synovium (Bay-Jensen et al., 2022). PINP and N-MID osteocalcin are important bone turnover markers playing significant roles in OA bone metabolism regulation. Studies have indicated that PINP levels are closely associated with OA progression. In patients with symptomatic knee OA, PINP correlates positively with bone marrow lesions, suggesting activated bone metabolism participates in early OA pathology (Ota et al., 2019). Premenopausal women with early knee OA exhibit significantly reduced serum PINP levels, indicating suppressed bone formation that is potentially linked to declining estrogen levels (Hu et al., 2022). PINP has diagnostic value for progressive knee OA: a 6-year follow-up study found that elevated PINP levels predict a higher risk of severe OA progression, particularly progressive osteophyte formation (Kumm et al., 2013). An elevated baseline PINP level indicates more severe subsequent OA progression, and persistently high levels during progression are associated with osteophyte formation (Kumm et al., 2013). Furthermore, elevated PINP levels can serve as a biomarker for rapid cartilage loss and bone-destructive OA (Arends et al., 2016). N-MID, the major form of osteocalcin synthesized by osteoblasts, reflects bone formation and mineralization status, making it a unique biomarker for studying bone metabolism in OA. Elevated expression of LncRNA H19 in the peripheral blood of patients with OA, which correlates negatively with PINP/N-MID and positively with β-CTX, implicates it in the promotion of bone resorption and inhibition of bone formation during OA development (Zhou et al., 2020). Although the molecular mechanisms of PINP and N-MID in OA have not been fully elucidated, existing evidence supports their important roles as bone turnover markers. PINP levels are associated with OA progression and serve as diagnostic and prognostic biomarkers. Concurrently, N-MID exhibits high diagnostic accuracy for OA and correlates with disease severity. Their combined application provides a comprehensive assessment of bone metabolic status in patients with OA, offering a basis for early diagnosis, disease evaluation, treatment monitoring, and prognosis judgment (Figure 2C). Future research should further explore their potential in OA pathogenesis and personalized therapies.
The association between 25(OH)D, a key vitamin D metabolite, and osteoarthritis is complex. A New Zealand cross-sectional study showed no significant correlation between serum 25(OH)D levels and chronic pain (Wu et al., 2019). In contrast, a US study reported a positive association between higher 25(OH)D levels and OA prevalence, particularly among obese individuals (Yu et al., 2023). Supporting this, an Australian cohort reported that elevated 25(OH)D levels in males were associated with an increased risk of hip replacement, a phenomenon not observed in females (Hussain et al., 2021). A systematic review integrating multiple randomized controlled trials confirmed that vitamin D supplementation offers potential benefits for pain relief and functional improvement in patients with knee OA (Wang R. et al., 2023) (Figure 2).
Osteoblasts and osteoclasts orchestrate the balance of bone remodeling through intricate signaling networks. The aberrant expression of metabolic markers, such as N-MID, PINP, β-CTX, and 25(OH)D, in OA and their correlation with disease progression suggest their potential utility as biomarkers for assessing disease severity and treatment monitoring. Future studies should elucidate the functional mechanisms of these cells and regulatory factors, validate their clinical application value, and explore their potential roles in early diagnosis and risk assessment, providing new perspectives for understanding the pathology of bone metabolism-related disorders.
4 The role and mechanisms of ferroptosis in OA
4.1 Molecular mechanisms of chondrocyte ferroptosis
Chondrocytes, the core cellular components of articular cartilage, play a vital role in maintaining joint homeostasis. Ferroptosis in chondrocytes is a key driver of cartilage degeneration, where iron overload induces cell death through lipid peroxidation, suppresses cartilage regeneration, and exacerbates OA progression (Simão and Cancela, 2021). Glutamine metabolism is essential for regulating chondrocyte function. Glutamine enters chondrocytes via the ASCT2/SLC1A5 transporter and is converted to glutamate by glutaminase (GLS), which is further metabolized into GSH by glutathione synthetase, thereby maintaining the cellular redox balance (Stegen et al., 2020; Ling et al., 2023; Lukey et al., 2013). The transcription factor SOX9 stimulates glutamine metabolism, enhances glutamine consumption and GLS1 expression, and promotes chondrocyte differentiation and function (Stegen et al., 2020). GPX4 utilizes the reducing power of GSH to eliminate lipid peroxides and ROS, thereby inhibiting ferroptosis (Stegen et al., 2020). Clinical studies have shown significantly elevated glutamine levels in the synovial fluid of patients with OA (Anderson et al., 2018; Akhbari et al., 2020). Glutamine deprivation mitigates cartilage degeneration by suppressing NF-κB activation and reducing the production of IL-1β-induced inflammatory factors (e.g., MMP3 and COX-2) and ROS (Arra et al., 2022). Furthermore, MK-801, an NMDA receptor antagonist within the glutamate signaling pathway, is capable of inhibiting the transcriptional activation of MMP3 and COX-2 by IL-1β. This observation further implies that targeting glutamate metabolism may constitute a viable strategy for delaying the progression of osteoarthritis (Piepoli et al., 2009). These findings indicate that targeting the glutamate metabolic axis to maintain the GSH/GPX4 antioxidant system may represent a novel strategy for suppressing chondrocyte ferroptosis and attenuating OA progression.
The NF-κB and MAPK signaling pathways function as master regulators of inflammation, orchestrating diverse cellular processes such as stress response, proliferation, and inflammation (Mulero et al., 2019; Guo et al., 2020; Abohassan et al., 2022; Kumar et al., 2021). Studies have shown that GPX4 deficiency activates the NF-κB/MAPK pathway, upregulating the expression of matrix-degrading enzymes such as ADAMTS5, MMP3, and MMP13, thereby exacerbating cartilage ECM degradation (Miao et al., 2022). Concurrently, GPX4 loss elevates lipid peroxidation markers (MDA and ROS), directly driving ferroptosis (Van Coillie et al., 2022). Moreover, the RNA-binding protein SND1 is aberrantly overexpressed in OA chondrocytes. It binds to HSPA5 and promotes GPX4 ubiquitination and degradation, leading to the accumulation of ROS, Fe2+, and MDA under IL-1β stimulation, which accelerates the ferroptosis. Knockdown of SND1 or overexpression of HSPA5/GPX4 reverses these effects (Lv et al., 2022).
Iron overload contributes to OA progression by linking inflammatory cytokines and iron metabolism proteins. TFR1, a type I transmembrane protein, mediates cellular iron uptake by binding transferrin (TF) and is widely expressed in the immune, hematopoietic, and neural systems (Candelaria et al., 2021; Huang et al., 2020). DMT1 specifically transports ferrous iron (Fe2+), and its aberrant activation promotes ROS generation via the Fenton reaction (Yanatori and Kishi, 2019). FPN, the only known iron exporter, maintains iron homeostasis by regulating iron efflux; its impairment leads to intracellular iron accumulation (Jiang et al., 2021; Li et al., 2022). Pro-inflammatory cytokines IL-1β and TNF-α upregulate TFR1 and DMT1 while suppressing FPN expression, thereby enhancing iron influx and reducing efflux in chondrocytes, resulting in iron overload (Jing et al., 2021a; Jing et al., 2021b). Iron overload downregulates GPX4 and SLC7A11 expression in chondrocytes and activates the p53/ACSL4 axis, driving lipid ROS accumulation and ferroptosis. This is accompanied by increased MMP13 and degradation of type II collagen, accelerating OA pathology (Yao et al., 2021; Ru et al., 2023; Simão et al., 2019). A key mechanistic insight is that IL-6 upregulates hepcidin, which promotes transferrin degradation and amplifies the vicious cycle of iron overload (Burton et al., 2020) (Figure 3D). These findings highlight the central role of dysregulated iron metabolism in OA, where an inflammation-driven imbalance of iron transporters exacerbates cartilage degeneration via ferroptosis. These findings support the development of OA therapies aimed at modulating cellular iron levels.
Figure 3. Regulatory mechanisms of ferroptosis in OA and its interplay with bone metabolism. (A) Model of ‘systemic imbalance with local compensation’ for ferroptosis and bone metabolism in OA. This model reveals the vicious cycle among iron overload, inflammation, and bone metabolic dysregulation. In the early stage of OA, systemic bone resorption is predominant. In the late stage, although subchondral bone and osteophyte regions exhibit a local advantage in bone formation, the overall bone metabolism remains in a negative balance. (B) Molecular mechanisms of osteoclast ferroptosis During RANKL-induced osteoclastogenesis, iron overload promotes osteoclast formation through iron uptake mediated by TFR1. Zoledronic acid (ZA) enhances p53 stability by inhibiting its ubiquitination and degradation mediated by FBXO9. This subsequently elevates intracellular Fe2+, MDA, and ROS levels while reducing GPX4 and GSH, ultimately inducing ferroptosis in osteoclasts and suppressing their activity. (C) Regulatory mechanisms of osteoblast ferroptosis. Iron overload suppresses osteoblast differentiation and the Wnt signaling pathway by inducing lipid peroxidation. The natural vitamin D receptor (VDR) ligand, 1,25-dihydroxyvitamin D3 (1,25(OH)2D3), protects osteoblasts from ferroptosis by activating the Nrf2/GPX4 pathway and reducing lipid peroxidation levels. (D) Role of the inflammation-iron metabolism axis in chondrocyte ferroptosis. Pro-inflammatory cytokines IL-1β and TNF-α induce intracellular iron accumulation in chondrocytes by upregulating TFR1/DMT1 and suppressing FPN expression. Iron overload, in turn, further downregulates GPX4 and SLC7A11 while activating the p53/ACSL4 axis, thereby driving lipid ROS production and ferroptosis. IL-6 exacerbates intracellular iron retention by upregulating hepcidin, which inhibits FPN.
4.2 Association between ferroptosis and imbalance in bone metabolism
The pathological progression of OA extends far beyond the cartilage, with abnormal subchondral bone remodeling being one of its core features. Ferroptosis critically regulates OA progression by dysregulating the function of osteoblasts and osteoclasts, thereby disrupting bone homeostasis and driving subchondral bone pathology (Ru et al., 2024; Ru et al., 2023).
First, the regulation of osteoclasts by ferroptosis plays a significant role in enhanced bone resorption in OA (Xiao et al., 2025). Specifically, TfR1 upregulation promotes osteoclast differentiation and bone resorption by increasing iron uptake, directly linking cellular iron overload to elevated resorptive activity (von Brackel and Oheim, 2024). In osteoporosis, ferroptosis has been shown to participates in RANKL-induced osteoclast differentiation. The natural compound aconine (AC) inhibits NF-κB signaling (suppressing IκB and p65 phosphorylation), upregulates the key ferroptosis inhibitor GPX4, downregulates the pro-ferroptotic factor ACSL4, and significantly suppresses the expression of the core osteoclastogenic transcription factors c-Fos and NFATc1. This is accompanied by reduced serum β-CTX levels and attenuated bone resorption activity (Xue et al., 2023). Li J. et al. (2013) proposed that excess iron promotes osteoclast differentiation and bone resorption via a TNF-α-dependent mechanism, resulting in increased β-CTX levels, disrupted bone metabolism and compromised bone strength. In OA, iron overload-induced osteoclast ferroptosis may further disrupt subchondral bone metabolic homeostasis, exacerbating abnormal bone remodeling. Qu et al. (2021), in a RANKL-induced osteoclast model, found that zoledronic acid (ZA) inhibits FBXO9-mediated p53 ubiquitination and degradation, thereby enhancing p53 protein stability. This led to increased intracellular Fe2+, MDA, and ROS levels and decreased GPX4 and GSH levels, ultimately inducing ferroptosis and suppressing osteoclast activity (Figure 3B). These findings consistently indicate that osteoclast ferroptosis is a key mechanism regulating bone resorption. Similarly, in OA, this mechanism may contribute to pathological processes, such as aberrant subchondral bone remodeling and osteophyte formation, by amplifying the bone resorption-formation imbalance, although its deeper mechanisms require further investigation.
Osteoblasts are the primary effectors of bone formation, and their impaired function can lead to reduced bone mass and osteoporosis. Luo et al. (2022) demonstrated that iron overload induces osteoblast ferroptosis and inhibits the canonical pro-osteogenic Wnt signaling pathway. Conversely, a Wnt agonist (e.g., CHIR-99021) can suppress ferroptosis and restore osteoblast differentiation capacity by reducing ROS and lipid peroxidation levels, without altering intracellular iron concentrations. Furthermore, activating the vitamin D receptor (VDR) suppresses osteoblast ferroptosis via stimulation of the Nrf2/GPX4 pathway (Xu et al., 2022). As a natural ligand of VDR, 1,25(OH)2D3 activates Nrf2, upregulates GPX4 expression, and reduces lipid peroxidation markers (e.g., MDA and 4-HNE), thereby protecting osteoblasts from ferroptotic damage (Xu et al., 2022) (Figure 3C).
In early OA, osteoclast activity is significantly increased. Although osteoblast activity is upregulated, it is insufficient to maintain the bone resorption-formation balance, leading to alterations in the subchondral bone microstructure. Late-stage OA is characterized by a shift in bone turnover patterns, with active local bone formation in osteophyte regions accompanied by subchondral bone sclerosis (Chen et al., 2015; Ilas et al., 2018). During OA progression, ferroptosis drives aberrant subchondral bone remodeling by disrupting the dynamic balance between osteoblasts and osteoclasts. On the one hand, ferroptosis promotes osteoclast differentiation and inhibits Runx2-mediated osteoblast differentiation via the TfR1/ROS signaling axis, disrupting bone metabolic coupling and leading to subchondral bone instability, thereby exacerbating OA (Ru et al., 2023). Conversely, the initial elevation in bone resorption, as indicated by increased β-CTX (Yang M. et al., 2025) levels, combined with the late-stage suppression of bone formation by ferroptosis, results in the inhibition of overall bone metabolism. Together, these dual dysregulations form the molecular basis for dynamic changes in bone metabolic biomarkers (Ru et al., 2023). In this process, ferroptosis-mediated subchondral bone resorption releases osteoinductive factors such as insulin-like growth factor 1 (IGF1) and bone morphogenetic protein 2 (BMP2) (Qiao et al., 2021; Regan et al., 2017), stimulating compensatory osteophyte formation at the cartilage margins. Concurrently, local inflammation and mechanical stress activate the Wnt/β-catenin pathway, further promoting osteophyte development against a background of systemic impairment in osteogenic function (Chen JW. et al., 2020), thereby closely linking imbalanced bone remodeling with aberrant osteophyte formation in OA. Bone marrow mesenchymal stem cells (BMSCs) are the sources of osteoblasts and osteoclasts. Ferroptosis can further impact the activities of osteoblasts and osteoclasts by damaging these stem cells. In the pathological process of knee OA, persistent inflammation disrupts cellular iron homeostasis and downregulates SLC7A11/GPX4 by activating the MAPK pathway, inducing ferroptosis. This not only directly leads to chondrocyte death and extracellular matrix degradation but also disrupts the osteoblast-osteoclast balance by impairing BMSC function, resulting in a deteriorated subchondral bone microstructure (Li Y. et al., 2025). Furthermore, in a recent study, Li et al. confirmed through in vivo and in vitro experiments that caffeine induces osteoblast ferroptosis (evidenced by decreased GPX4 expression), thereby disrupting bone metabolic balance, causing subchondral bone loss, and ultimately aggravating OA (Li F. et al., 2025).
Studies on osteoporosis have confirmed that ferroptosis exacerbates bone loss through its dual effects on osteoblasts and osteoclasts. Iron overload-induced lipid peroxidation inhibits osteoblast differentiation while enhancing osteoclastogenesis and bone resorptive activity, driving bone remodeling towards a net resorptive state. Intriguingly, while ferroptosis contributes to high-turnover bone loss in osteoporosis, its reported effects on “bone resorption and formation” in OA studies appear contradictory, as late-stage OA is characterized by reduced bone resorption and subchondral sclerosis. This discrepancy may stem from variations in the research methodologies, OA staging criteria, and model systems. Some studies support a persistent state of bone resorption exceeding formation throughout OA progression, based on micro-CT analyses of subchondral trabeculae and marrow cavities, revealing overall bone loss and microarchitectural deterioration in patients with OA (Roberts et al., 2018; Tan et al., 2025). However, other studies emphasize localized bone formation exceeding resorption in late-stage OA, focusing on the typical pathological feature of osteophytes: research finds that although osteophyte width increases significantly in late OA, bone resorption activity still persists, but bone formation is relatively dominant (Arepati et al., 2020). These seemingly contradictory findings reflect the complexity and dynamic nature of bone turnover in OA. Therefore, bone metabolism in OA might be characterized by the “coexistence of systemic imbalance and local compensation”: systemic bone resorption predominates in the early stages, while formation exceeds resorption in osteophyte regions during the late stages; however, the overall balance may still be negative. This constitutes the core reason for the divergent conclusions across the different studies (Figure 3A).
4.3 A vicious cycle linking iron overload, inflammation, and bone metabolism in OA
Recent investigations have revealed that chronic, low-grade inflammation plays a pivotal role in the pathogenesis of OA. This inflammatory state disrupts the redox balance, enhances catabolic mechanisms, and induces pain. Synovial fluid from patients with OA contains abundant pro-inflammatory cytokines, including IL-1β, TNF-α, and IL-6. These key cytokines can directly disrupt the cartilage matrix structure by inducing chondrocytes to overexpress degrading enzymes, such as MMPs (Defois et al., 2022; Jenei-Lanzl et al., 2019). Consequently, the regulatory role of systemic inflammatory cytokines in chondrocytes has become a research focus. Notably, these pro-inflammatory cytokines are also dysregulated in conditions associated with iron overload. Yao et al. reported that iron overload, in conjunction with IL-1β, induces chondrocyte ferroptosis (Yao et al., 2021), thereby exacerbating the burden of OA. In experimental studies on hemophilia, iron-overloaded synovial tissues release pro-inflammatory cytokines (e.g., IL-1β and TNF-α), which significantly accelerate OA-related cartilage degenerative pathology by activating catabolic pathways in chondrocytes (Nieuwenhuizen et al., 2013).
Iron overload disrupts chondrocyte iron homeostasis, triggering OA. A study using the C-20/A4 chondrocyte cell line to simulate iron overload by increasing ferric ammonium citrate (FAC) concentration found that the treated cells exhibited increased ferritin expression but significantly decreased levels of iron regulatory proteins such as hepcidin, ferroportin, TfR1, and TfR2. An increase in intracellular labile iron leads to elevated ROS levels, reduced collagen II production, cell cycle disruption, and increased cell death (Karim et al., 2022). As discussed previously, abnormal bone metabolism contributes to OA progression, and reduced bone mass coupled with microstructural deterioration can exacerbate the disease. For instance, postmenopausal women experience increased osteoclast activity, bone loss, and elevated fracture risk owing to estrogen deficiency (McNamara, 2021). Epidemiological evidence indicates that low bone density in patients with OA is closely related to abnormal bone remodeling. A hypoxic microenvironment further contributes to a vicious cycle of bone homeostasis imbalance by inhibiting osteoblast function and promoting osteoclastogenesis (Hu et al., 2020; Usategui-Martín et al., 2022).
The interactions between iron overload, inflammation, and abnormal bone metabolism collectively constitute a vicious cycle in OA. In this model, inflammation exacerbates both ferroptosis and bone metabolic abnormalities. In turn, these abnormalities further intensify inflammation, thereby accelerating OA progression. Ferroptosis, a cell death-related process, is aggravated under iron overload conditions. Iron overload exposes articular cartilage to high iron concentrations, promoting joint degeneration with minimal potential for tissue regeneration (Simão and Cancela, 2021). The regulation of ferroptosis and intracellular iron levels is crucial for balancing cellular detoxification and inducing cell death. Abnormal bone metabolism also plays a significant role in the pathogenesis of OA. Bone metabolism is more dynamic than cartilage metabolism; however, the gradual accumulation of iron and aging may be key determinants of bone health (Simão and Cancela, 2021) (Figure 3A). Furthermore, levels of inflammatory and coagulation activation biomarkers are significantly elevated in patients with OA, indicating the involvement of multifactorial processes in OA pathogenesis (Joshi et al., 2020). In summary, the interplay between iron overload, inflammation, and abnormal bone metabolism forms a vicious cycle that drives OA progression. Understanding this cycle is crucial for developing novel therapeutic strategies (Figure 3).
5 Therapeutic strategies targeting ferroptosis and future research directions
Given the pivotal role of ferroptosis in OA progression, targeting its regulatory mechanisms represents a promising therapeutic strategy. In recent years, various small-molecule compounds and natural products that act on iron metabolism, lipid peroxidation, and antioxidant pathways have shown considerable therapeutic potential in experimental OA models. However, translating these findings from basic research to clinical practice presents numerous challenges. A systematic evaluation of the advantages and limitations of current therapies, along with defining future research directions, is crucial for clinical translation in this field.
5.1 Iron chelators: source control of iron-dependent death
Iron chelators inhibit ferroptosis at its source by sequestering excess intracellular labile iron with a high affinity. Their mechanism involves depriving the Fenton reaction of iron ions, thereby reducing ROS generation and blocking lipid peroxidation initiation. As the most extensively studied prototype, deferoxamine (DFO) exhibits clear disease-modifying efficacy, as consistently shown in OA animal models. In a primary OA model using Dunkin-Hartley guinea pigs, systemic DFO administration significantly reduced articular iron content, improved mobility, and reduced cartilage degeneration histologically (Burton et al., 2022). Further studies have indicated that DFO downregulates pro-apoptotic genes and matrix-degrading enzymes while upregulating the anti-apoptotic protein Bcl-2, suggesting multi-target protective effects. Other studies confirm that intra-articular DFO injection in murine OA models effectively reduces the expression of ferroptosis markers like GPX4 and ACSL4 in chondrocytes, inhibits IL-1β-induced accumulation of ROS and MDA, and activates the Nrf2 antioxidant pathway (Miao et al., 2022; Ma et al., 2022; Guo et al., 2023). However, the clinical translation of free DFO is hampered by its unfavorable pharmacokinetics and safety profile, including a short plasma half-life, low bioavailability, poor blood-brain barrier penetration, and potential severe adverse effects upon long-term use (Lei et al., 2024).
5.2 Lipid peroxidation inhibitors: directly halting membrane damage
Direct inhibition of lipid peroxidation, the biochemical hallmark and execution phase of ferroptosis, is a key therapeutic strategy. Ferrostatin-1 (Fer-1), a representative compound in this class, potently traps radicals, neutralizing lipid peroxyl radicals to halt the chain reaction of lipid peroxidation and preserve membrane integrity (Scarpellini et al., 2023). In OA models, Fer-1 effectively mitigates chondrocyte damage induced by combined inflammation and iron overload, as evidenced by enhanced cell viability, reduced lipid peroxide accumulation, activation of the SLC7A11/GPX4 pathway, and promotion of type II collagen expression (Wang D. et al., 2023). In vivo studies have further shown that intra-articular Fer-1 injection alleviates cartilage destruction and improves gait function in OA mice (Xu et al., 2023). Intriguingly, a comparative study of Fer-1 and another ferroptosis inhibitor, Liproxstatin-1 (Lip-1), found that while both similarly suppressed core ferroptosis markers (e.g., GPX4 and ACSL4), Fer-1 was superior in inhibiting chondrocyte catabolic markers (e.g., MMP-13 and ADAMTS-5) and restoring cartilage matrix synthesis, suggesting efficacy variations whose mechanisms warrant investigation (Yang L. et al., 2025). Despite its anti-ferroptotic potential in animal models, the clinical translation of Fer-1 is significantly limited by poor plasma stability, rapid metabolism, low bioavailability, and the lack of derivatives capable of efficiently crossing the blood-brain barrier (Yan et al., 2025). The development of novel ferroptosis inhibitors with improved pharmacokinetics and structural optimization or reformulation of existing inhibitors are critical directions for future translational research.
5.3 Natural products and novel compounds: a treasure trove for multi-target intervention
Natural products are an important source of ferroptosis-modulating agents. Several active components derived from traditional Chinese medicine or plants have been shown to effectively inhibit ferroptosis in OA. In IL-1β-stimulated OA chondrocytes, cardamonin (CAD) suppresses ferroptosis and the inflammatory response by modulating the p53 pathway to upregulate SLC7A11 and GPX4 expression (Gong et al., 2023). Icariin (ICA) activates the SLC7A11/GPX4 signaling pathway, mitigating chondrocyte ferroptosis and protecting cartilage (Xiao et al., 2024). Naringin (NAR) alleviates iron overload-induced cartilage damage and matrix degradation by inhibiting MMP-3/13 expression (Pan et al., 2022). This multi-target mode of action is particularly suitable for complex diseases like OA, allowing simultaneous intervention at multiple pathological nodes. However, challenges remain, including complex composition, unclear mechanisms, and limited in vivo efficacy of these compounds. Future research should focus on elucidating their precise molecular targets and mechanisms of action and employing medicinal chemistry approaches for structural optimization to enhance their drug-likelihood.
5.4 The interplay between ferroptosis and bone metabolism
The pathological features of OA extend beyond articular cartilage degeneration and include aberrant subchondral bone remodeling. Recent studies have indicated that ferroptosis plays a significant role in maintaining bone homeostasis by regulating osteoclast and osteoblast function. Elucidating this regulatory network is crucial for understanding OA pathology and developing bone remodeling-targeted therapy. Therapeutically, iron overload can inhibit osteoblast differentiation and function via ROS signaling (Wang et al., 2025). A study on osteoporosis showed that the transcription factor YAP1 directly binds to and upregulates GPX4 transcriptional activity, thereby inhibiting osteoblast ferroptosis and promoting bone formation. YAP1 deficiency exacerbates ferroptosis and bone loss (Deng et al., 2025), providing a novel target for treating bone metabolic disorders. Ishii et al. reported that TfR1-mediated iron uptake promotes osteoclastogenesis and bone resorption, which is inhibited by DFO in a dose-dependent manner (Ishii et al., 2009). A recent study by Li et al. (Li F. et al., 2025) highlighted the crucial role of gut microbiota in caffeine-associated OA progression: caffeine induces osteoblast ferroptosis, leading to subchondral bone loss, while the abundance of Prevotella copri (P. copri) decreases in coffee drinkers. The P. copri metabolite paraxanthine effectively inhibits ferroptosis. Supplementation with P. copri restores bone homeostasis and mitigates caffeine-induced subchondral bone degradation, indicating a central role for the “gut microbiota-metabolite-ferroptosis” axis in diet-related OA pathology.
5.5 Clinical translation challenges and strategies
Although therapeutic strategies targeting ferroptosis show great promise in preclinical research, their successful translation into clinical practice faces multiple challenges and opens up numerous avenues for future exploration. Does ferroptosis play identical roles across different stages of OA (early inflammation, middle degeneration, and late remodeling)? Do its mechanisms of action differ among various joint cell types (chondrocytes, synoviocytes, osteoblasts, and osteoclasts)? The heterogeneous pathogenesis of OA means that therapies directed against a single target often have limited efficacy. The future therapeutic paradigm is shifting towards synergistic combinations, exemplified by pairing ferroptosis inhibitors with non-steroidal anti-inflammatory drugs (NSAIDs) or chondroprotective agents, to address both symptoms and underlying pathology. Furthermore, implementing personalized precision medicine based on patient molecular profiling represents the ultimate direction for enhancing efficacy and achieving optimal cost-effectiveness of treatment.
In summary, targeting ferroptosis offers revolutionary hope for osteoarthritis. Abundant preclinical evidence, from iron chelators and lipid peroxidation inhibitors to multi-target natural products, consistently demonstrates that intervention in the ferroptosis pathway can effectively delay cartilage degeneration, suppress inflammation, and protect bone metabolism. However, translating these promising strategies from the laboratory to clinical practice remains challenging. Future research should focus on elucidating the complex mechanisms of ferroptosis and its crosstalk with other pathological processes in OA, developing precise and safe targeted delivery systems and reliable diagnostic biomarkers, and ultimately validating their efficacy and safety across diverse patient populations through rigorous clinical trials. Only then can the therapeutic potential of targeting ferroptosis be fully realized, bringing hope to hundreds of millions of patients with OA worldwide.
Author contributions
JX: Writing – original draft. YZ: Writing – review and editing. JC: Writing – original draft. YH: Writing – original draft. YC: Writing – original draft.
Funding
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the National Natural Science Foundation of China (No. 82374117); the 2024 Traditional Chinese Medicine Inheritance and Innovation Research Project of Anhui Province (No. 2024CCCX117); the Special Clinical Project for Geriatrics of the Second Affiliated Hospital of Anhui University of Chinese Medicine (No. 2024lnbkzk02); and the Distinguished Talent Project of the Anhui Provincial Health Commission (Document No. [2022]392). The Key Project of the Anhui Provincial Department of Education (No. 2023AH050858). Anhui Provincial Financial Support Project (Co-construction Project by Commission and Province) Grant Number: 2024Aa30047.
Acknowledgements
Figures in this manuscript were created using BioGDP and SMART, whose support is gratefully acknowledged.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Abohassan, M., Al Shahrani, M., Alshahrani, M. Y., Begum, N., Radhakrishnan, S., and Rajagopalan, P. (2022). FNF-12, a novel benzylidene-chromanone derivative, attenuates inflammatory response in in vitro and in vivo asthma models mediated by M2-related Th2 cytokines via MAPK and NF-kB signaling. Pharmacol. Rep. 74 (1), 96–110. doi:10.1007/s43440-021-00325-0
Ajami, S., Javaheri, B., Chang, Y. M., Maruthainar, N., Khan, T., Donaldson, J., et al. (2022). Spatial links between subchondral bone architectural features and cartilage degeneration in osteoarthritic joints. Sci. Rep. 12 (1), 6694. doi:10.1038/s41598-022-10600-6
Akhbari, P., Karamchandani, U., Jaggard, M. K. J., Graça, G., Bhattacharya, R., Lindon, J. C., et al. (2020). Can joint fluid metabolic profiling (or “metabonomics”) reveal biomarkers for osteoarthritis and inflammatory joint disease? a systematic review. Bone Jt. Res. 9 (3), 108–119. doi:10.1302/2046-3758.93.BJR-2019-0167.R1
Anderson, J. R., Chokesuwattanaskul, S., Phelan, M. M., Welting, T. J. M., Lian, L. Y., Peffers, M. J., et al. (2018). 1H NMR metabolomics identifies underlying inflammatory pathology in osteoarthritis and rheumatoid arthritis synovial joints. J. Proteome Res. 17 (11), 3780–3790. doi:10.1021/acs.jproteome.8b00455
Arends, R. H., Karsdal, M. A., Verburg, K. M., Bay-Jensen, A. C., West, C. R., and Keller, D. S. (2016). Biomarkers associated with rapid cartilage loss and bone destruction in osteoarthritis patients. Osteoarthr. Cartil. 24, S53. doi:10.1016/j.joca.2016.01.120
Arepati, A., Ishijima, M., Kaneko, H., Aoki, T., Liu, L., Negishi, Y., et al. (2020). The osteophyte widths of the anterior lesion of tibiaare longer than those of the medial lesion of tibia in elderlies-the bunkyo health study. Osteoarthr. Cartil. 28, S294. doi:10.1016/j.joca.2020.02.462
Arra, M., Swarnkar, G., Adapala, N. S., Naqvi, S. K., Cai, L., Rai, M. F., et al. (2022). Glutamine metabolism modulates chondrocyte inflammatory response. Elife 11, e80725. doi:10.7554/eLife.80725
Aso, K., Shahtaheri, S. M., Hill, R., Wilson, D., McWilliams, D. F., and Walsh, D. A. (2019). Associations of symptomatic knee osteoarthritis with histopathologic features in subchondral bone. Arthritis Rheumatol. 71 (6), 916–924. doi:10.1002/art.40820
Banjac, A., Perisic, T., Sato, H., Seiler, A., Bannai, S., Weiss, N., et al. (2008). The cystine/cysteine cycle: a redox cycle regulating susceptibility versus resistance to cell death. Oncogene 27 (11), 1618–1628. doi:10.1038/sj.onc.1210796
Bay-Jensen, A. C., Kraus, V., Frederiksen, P., Ladel, C., and Karsdal, M. A. (2022). Type i collagen turnover in osteoarthritis. A comparative biomarker investigation in the oai-fnih study. Osteoarthr. Cartil. 30, S112–S113. doi:10.1016/j.joca.2022.02.142
Benhar, M. (2020). Oxidants, antioxidants and thiol redox switches in the control of regulated cell death pathways. Antioxidants (Basel) 9 (4), 309. doi:10.3390/antiox9040309
Berndt, C., Alborzinia, H., Amen, V. S., Ayton, S., Barayeu, U., Bartelt, A., et al. (2024). Ferroptosis in health and disease. Redox Biol. 75, 103211. doi:10.1016/j.redox.2024.103211
Bersuker, K., Hendricks, J. M., Li, Z., Magtanong, L., Ford, B., Tang, P. H., et al. (2019). The CoQ oxidoreductase FSP1 acts parallel to GPX4 to inhibit ferroptosis. Nature 575 (7784), 688–692. doi:10.1038/s41586-019-1705-2
Burton, L. H., Radakovich, L. B., Marolf, A. J., and Santangelo, K. S. (2020). Systemic iron overload exacerbates osteoarthritis in the strain 13 Guinea pig. Osteoarthr. Cartil. 28 (9), 1265–1275. doi:10.1016/j.joca.2020.06.005
Burton, L. H., Afzali, M. F., Radakovich, L. B., Campbell, M. A., Culver, L. A., Olver, C. S., et al. (2022). Systemic administration of a pharmacologic iron chelator reduces cartilage lesion development in the dunkin-hartley model of primary osteoarthritis. Free Radic. Biol. Med. 179, 47–58. doi:10.1016/j.freeradbiomed.2021.12.257
Cai, C., Hu, W., and Chu, T. (2021). Interplay between iron overload and osteoarthritis: clinical significance and cellular mechanisms. Front. Cell Dev. Biol. 9, 817104. doi:10.3389/fcell.2021.817104
Candelaria, P. V., Leoh, L. S., Penichet, M. L., and Daniels-Wells, T. R. (2021). Antibodies targeting the transferrin receptor 1 (TfR1) as direct anti-cancer agents. Front. Immunol. 12, 607692. doi:10.3389/fimmu.2021.607692
Chen, Y., Wang, T., Guan, M., Guo, X., Zhao, W., Leung, F., et al. (2015). Subchondral bone cysts complicated with bone remodeling turnovers in patients with knee osteoarthritis. Osteoarthr. Cartil. 23, A128–A130. doi:10.1016/j.joca.2015.02.855
Chen, X., Yu, C., Kang, R., and Tang, D. (2020a). Iron metabolism in ferroptosis. Front. Cell Dev. Biol. 8, 590226. doi:10.3389/fcell.2020.590226
Chen, J. W., Wang, H. J., and Zheng, X. F. (2020b). Research progress on mechanism of acupuncture and moxibustion promoting fracture healing. Zhongguo Gu Shang 33 (1), 93–96. doi:10.3969/j.issn.1003-0034.2020.01.018
Chen, X., Xu, J., Zhang, H., and Yu, L. (2023). A nomogram for predicting osteoarthritis based on serum biomarkers of bone turnover in middle age: a cross-sectional study of PTH and β-CTx. Med. Baltim. 102 (20), e33833. doi:10.1097/MD.0000000000033833
Choi, I. A., Umemoto, A., Mizuno, M., and Park-Min, K. H. (2024). Bone metabolism – an underappreciated player. Npj Metab. Health Dis. 2 (1), 1–10. doi:10.1038/s44324-024-00010-9
Cui, S., Simmons, G., Vale, G., Deng, Y., Kim, J., Kim, H., et al. (2022). FAF1 blocks ferroptosis by inhibiting peroxidation of polyunsaturated fatty acids. Proc. Natl. Acad. Sci. U. S. A. 119 (17), e2107189119. doi:10.1073/pnas.2107189119
Das, U. N. (2019). Saturated fatty acids, MUFAs and PUFAs regulate ferroptosis. Cell Chem. Biol. 26 (3), 309–311. doi:10.1016/j.chembiol.2019.03.001
Defois, A., Bon, N., Georget, M., Boyer, C., Maugars, Y., Guicheux, J., et al. (2022). Comparisons of cytokine responses of osteoarthritic and non-osteoarthritic human chondrocytes. Osteoarthr. Cartil. 30, S339–S340. doi:10.1016/j.joca.2022.02.456
Deng, M., Zhou, Y., Liu, G., Tang, R., Hu, L., Luo, J., et al. (2025). The YAP1/GPX4 axis alleviates osteoporosis by affecting ferroptosis in osteoblasts. Mol. Med. 31 (1), 315. doi:10.1186/s10020-025-01374-4
Di, J., Bai, J., Zhang, J., Chen, J., Hao, Y., Bai, J., et al. (2024). Regional disparities, age-related changes and sex-related differences in knee osteoarthritis. BMC Musculoskelet. Disord. 25 (1), 66. doi:10.1186/s12891-024-07191-w
Dixon, S. J., Lemberg, K. M., Lamprecht, M. R., Skouta, R., Zaitsev, E. M., Gleason, C. E., et al. (2012). Ferroptosis: an iron-dependent form of nonapoptotic cell death. Cell 149 (5), 1060–1072. doi:10.1016/j.cell.2012.03.042
Doll, S., Proneth, B., Tyurina, Y. Y., Panzilius, E., Kobayashi, S., Ingold, I., et al. (2017). ACSL4 dictates ferroptosis sensitivity by shaping cellular lipid composition. Nat. Chem. Biol. 13 (1), 91–98. doi:10.1038/nchembio.2239
Donell, S. (2019). Subchondral bone remodeling in osteoarthritis. EFORT Open Rev. 4 (6), 221–229. doi:10.1302/2058-5241.4.180102
Du, J., Liu, Y., Wu, X., Sun, J., Shi, J., Zhang, H., et al. (2023). BRD9-mediated chromatin remodeling suppresses osteoclastogenesis through negative feedback mechanism. Nat. Commun. 14 (1), 1413. doi:10.1038/s41467-023-37116-5
Ezraty, B., Gennaris, A., Barras, F., and Collet, J. F. (2017). Oxidative stress, protein damage and repair in bacteria. Nat. Rev. Microbiol. 15 (7), 385–396. doi:10.1038/nrmicro.2017.26
Feng, T., and Wu, Q. F. (2022). A review of non-coding RNA related to NF-κB signaling pathway in the pathogenesis of osteoarthritis. Int. Immunopharmacol. 106, 108607. doi:10.1016/j.intimp.2022.108607
GBD 2021 Osteoarthritis Collaborators (2023). Global, regional, and national burden of osteoarthritis, 1990-2020 and projections to 2050: a systematic analysis for the global burden of disease study 2021. Lancet Rheumatol. 5 (9), e508–e522. doi:10.1016/S2665-9913(23)00163-7
Gong, Z., Wang, Y., Li, L., Li, X., Qiu, B., and Hu, Y. (2023). Cardamonin alleviates chondrocytes inflammation and cartilage degradation of osteoarthritis by inhibiting ferroptosis via p53 pathway. Food Chem. Toxicol. 174, 113644. doi:10.1016/j.fct.2023.113644
Guo, Y. J., Pan, W. W., Liu, S. B., Shen, Z. F., Xu, Y., and Hu, L. L. (2020). ERK/MAPK signaling pathway and tumorigenesis. Exp. Ther. Med. 19 (3), 1997–2007. doi:10.3892/etm.2020.8454
Guo, W., Zhao, Y., Li, H., and Lei, L. (2021). NCOA4-mediated ferritinophagy promoted inflammatory responses in periodontitis. J. Periodontal Res. 56 (3), 523–534. doi:10.1111/jre.12852
Guo, Z., Lin, J., Sun, K., Guo, J., Yao, X., Wang, G., et al. (2023). Corrigendum: deferoxamine alleviates osteoarthritis by inhibiting chondrocyte ferroptosis and activating the Nrf2 pathway. Front. Pharmacol. 14, 1199951. doi:10.3389/fphar.2023.1199951
Gupte, P. A., Giramkar, S. A., Harke, S. M., Kulkarni, S. K., Deshmukh, A. P., Hingorani, L. L., et al. (2019). Evaluation of the efficacy and safety of capsule longvida® optimized curcumin (solid lipid curcumin particles) in knee osteoarthritis: a pilot clinical study. J. Inflamm. Res. 12, 145–152. doi:10.2147/JIR.S205390
He, J., Cao, W., Azeem, I., Zhao, Q., and Shao, Z. (2017). Transforming growth factor Beta1 being considered a novel biomarker in knee osteoarthritis. Clin. Chim. Acta 472, 96–101. doi:10.1016/j.cca.2017.07.021
Hu, N., Zhang, J., Wang, P., Wang, J., Qiang, Y., Li, Z., et al. (2020). Assessment of bone metabolism and quality of life in knee osteoarthritis patients with low bone mineral density. Osteoarthr. Cartil. 28, S433. doi:10.1016/j.joca.2020.02.673
Hu, W., Chen, Y., Dou, C., and Dong, S. (2021a). Microenvironment in subchondral bone: predominant regulator for the treatment of osteoarthritis. Ann. Rheum. Dis. 80 (4), 413–422. doi:10.1136/annrheumdis-2020-218089
Hu, Y., Chen, X., Wang, S., Jing, Y., and Su, J. (2021b). Subchondral bone microenvironment in osteoarthritis and pain. Bone Res. 9 (1), 1–13. doi:10.1038/s41413-021-00147-z
Hu, N., Zhang, J., Wang, J., Wang, P., Wang, J., Qiang, Y., et al. (2022). Biomarkers of joint metabolism and bone mineral density are associated with early knee osteoarthritis in premenopausal females. Clin. Rheumatol. 41 (3), 819–829. doi:10.1007/s10067-021-05885-3
Huang, N., Zhan, L. L., Cheng, Y., Wang, X. L., Wei, Y. X., Wang, Q., et al. (2020). TfR1 extensively regulates the expression of genes associated with ion transport and immunity. Curr. Med. Sci. 40 (3), 493–501. doi:10.1007/s11596-020-2208-y
Hussain, S. M., Wang, Y., Heath, A. K., Giles, G. G., English, D. R., Eyles, D. W., et al. (2021). Association between circulating 25-hydroxyvitamin D concentrations and hip replacement for osteoarthritis: a prospective cohort study. BMC Musculoskelet. Disord. 22 (1), 887. doi:10.1186/s12891-021-04779-4
Ilas, D. C., Churchman, S. M., Aderinto, J., Giannoudis, P. V., McGonagle, D. G., and Jones, E. (2018). Cellular and molecular mechanisms of subchondral bone sclerosis in hip osteoarthritis: the potential roles of multipotential stromal cells and osteocytes. Osteoarthr. Cartil. 26, S75–S76. doi:10.1016/j.joca.2018.02.160
Ishii, K. A., Fumoto, T., Iwai, K., Takeshita, S., Ito, M., Shimohata, N., et al. (2009). Coordination of PGC-1beta and iron uptake in mitochondrial biogenesis and osteoclast activation. Nat. Med. 15 (3), 259–266. doi:10.1038/nm.1910
Ito, J., Omiya, S., Rusu, M. C., Ueda, H., Murakawa, T., Tanada, Y., et al. (2021). Iron derived from autophagy-mediated ferritin degradation induces cardiomyocyte death and heart failure in mice. Elife 10, e62174. doi:10.7554/eLife.62174
Jenei-Lanzl, Z., Meurer, A., and Zaucke, F. (2019). Interleukin-1β signaling in osteoarthritis - chondrocytes in focus. Cell Signal 53, 212–223. doi:10.1016/j.cellsig.2018.10.005
Jiang, L., Wang, J., Wang, K., Wang, H., Wu, Q., Yang, C., et al. (2021). RNF217 regulates iron homeostasis through its E3 ubiquitin ligase activity by modulating ferroportin degradation. Blood 138 (8), 689–705. doi:10.1182/blood.2020008986
Jing, X., Lin, J., Du, T., Jiang, Z., Li, T., Wang, G., et al. (2021a). Iron overload is associated with accelerated progression of osteoarthritis: the role of DMT1 mediated iron homeostasis. Front. Cell Dev. Biol. 8, 594509. doi:10.3389/fcell.2020.594509
Jing, X., Du, T., Li, T., Yang, X., Wang, G., Liu, X., et al. (2021b). The detrimental effect of iron on OA chondrocytes: importance of pro-inflammatory cytokines induced iron influx and oxidative stress. J. Cell Mol. Med. 25 (12), 5671–5680. doi:10.1111/jcmm.16581
Joshi, P., Amour, M., Siddiqui, F., Liles, J., Hoppensteadt, D., Fareed, J., et al. (2020). Molecular pathogenesis of bone degenerative disease and associated inflammatory processes. FASEB J. 34 (S1), 1. doi:10.1096/fasebj.2020.34.s1.04303
Karim, A., Bajbouj, K., Shafarin, J., Qaisar, R., Hall, A. C., and Hamad, M. (2022). Iron overload induces oxidative stress, cell cycle arrest and apoptosis in chondrocytes. Front. Cell Dev. Biol. 10, 821014. doi:10.3389/fcell.2022.821014
Koppula, P., Zhuang, L., and Gan, B. (2021). Cytochrome P450 reductase (POR) as a ferroptosis fuel. Protein Cell 12 (9), 675–679. doi:10.1007/s13238-021-00823-0
Kothari, P., Tripathi, A. K., Girme, A., Rai, D., Singh, R., Sinha, S., et al. (2022). Caviunin glycoside (CAFG) from Dalbergia sissoo attenuates osteoarthritis by modulating chondrogenic and matrix regulating proteins. J. Ethnopharmacol. 282, 114315. doi:10.1016/j.jep.2021.114315
Kumar, A., Mahendra, J., Mahendra, L., Abdulkarim, H. H., Sayed, M., Mugri, M. H., et al. (2021). Synergistic effect of biphasic calcium phosphate and platelet-rich fibrin attenuate markers for inflammation and osteoclast differentiation by suppressing NF-κB/MAPK signaling pathway in chronic periodontitis. Molecules 26 (21), 6578. doi:10.3390/molecules26216578
Kumm, J., Tamm, A., Lintrop, M., and Tamm, A. (2013). Diagnostic and prognostic value of bone biomarkers in progressive knee osteoarthritis: a 6-year follow-up study in middle-aged subjects. Osteoarthr. Cartil. 21 (6), 815–822. doi:10.1016/j.joca.2013.03.008
Lei, L., Yuan, J., Dai, Z., Xiang, S., Tu, Q., Cui, X., et al. (2024). Targeting the labile iron pool with engineered DFO nanosheets to inhibit ferroptosis for parkinson’s disease therapy. Adv. Mater 36 (41), e2409329. doi:10.1002/adma.202409329
Li, B., and Zheng, J. (2022). A bibliometric and knowledge map analysis of osteoarthritis signaling pathways from 2012 to 2022. J. Pain Res. 15, 3833–3846. doi:10.2147/JPR.S385482
Li, G., Yin, J., Gao, J., Cheng, T. S., Pavlos, N. J., Zhang, C., et al. (2013a). Subchondral bone in osteoarthritis: insight into risk factors and microstructural changes. Arthritis Res. and Ther. 15 (6), 223. doi:10.1186/ar4405
Li, J., Hou, Y., Zhang, S., Ji, H., Rong, H., Qu, G., et al. (2013b). Excess iron undermined bone load-bearing capacity through tumor necrosis factor-α-dependent osteoclastic activation in mice. Biomed. Rep. 1 (1), 85–88. doi:10.3892/br.2012.6
Li, S., Niu, G., Wu, Y., Du, G., Huang, C., Yin, X., et al. (2016). Vitamin D prevents articular cartilage erosion by regulating collagen II turnover through TGF-β1 in ovariectomized rats. Osteoarthr. Cartil. 24 (2), 345–353. doi:10.1016/j.joca.2015.08.013
Li, C., Sun, G., Chen, B., Xu, L., Ye, Y., He, J., et al. (2021). Nuclear receptor coactivator 4-mediated ferritinophagy contributes to cerebral ischemia-induced ferroptosis in ischemic stroke. Pharmacol. Res. 174, 105933. doi:10.1016/j.phrs.2021.105933
Li, D. H., Xu, S., Jiang, L., Su, Y. X., Min, J. X., and Wang, F. D. (2022). Physiological functions of iron exporter ferroportin and its regulatory mechanism. Chin. Bull. Life Sci. 34 (7), 754–777. doi:10.13376/j.cbls/20220077
Li, J. Y., Feng, Y. H., Li, Y. X., He, P. Y., Zhou, Q. Y., Tian, Y. P., et al. (2024a). Ferritinophagy: a novel insight into the double-edged sword in ferritinophagy-ferroptosis axis and human diseases. Cell Prolif. 57 (7), e13621. doi:10.1111/cpr.13621
Li, X., Chen, W., Liu, D., Chen, P., Wang, S., Li, F., et al. (2024b). Pathological progression of osteoarthritis: a perspective on subchondral bone. Front. Med. 18 (2), 237–257. doi:10.1007/s11684-024-1061-y
Li, Y., Tang, H., He, M., Wang, X., Chen, Y., Liu, S., et al. (2025a). Therapeutic effects of bushen chushi formula on knee osteoarthritis via modulation of MAPK/SLC7A11/GPX4 signaling in rats. Hereditas 162 (1), 220. doi:10.1186/s41065-025-00587-1
Li, F., Wen, X., Xue, P., Xu, H., Wu, P., Xu, Z., et al. (2025b). Prevotella copri-mediated caffeine metabolism involves ferroptosis of osteoblasts in osteoarthritis. Microbiol. Spectr. 13 (6), e0157524. doi:10.1128/spectrum.01575-24
Ling, Z. N., Jiang, Y. F., Ru, J. N., Lu, J. H., Ding, B., and Wu, J. (2023). Amino acid metabolism in health and disease. Signal Transduct. Target Ther. 8 (1), 345. doi:10.1038/s41392-023-01569-3
Lukey, M. J., Wilson, K. F., and Cerione, R. A. (2013). Therapeutic strategies impacting cancer cell glutamine metabolism. Future Med. Chem. 5 (14), 1685–1700. doi:10.4155/fmc.13.130
Luo, C., Xu, W., Tang, X., Liu, X., Cheng, Y., Wu, Y., et al. (2022). Canonical wnt signaling works downstream of iron overload to prevent ferroptosis from damaging osteoblast differentiation. Free Radic. Biol. Med. 188, 337–350. doi:10.1016/j.freeradbiomed.2022.06.236
Lv, M., Cai, Y., Hou, W., Peng, K., Xu, K., Lu, C., et al. (2022). The RNA-Binding protein SND1 promotes the degradation of GPX4 by destabilizing the HSPA5 mRNA and suppressing HSPA5 expression, promoting ferroptosis in osteoarthritis chondrocytes. Inflamm. Res. 71 (4), 461–472. doi:10.1007/s00011-022-01547-5
Ma, T. W., Wen, Y. J., Song, X. P., Hu, H. L., Li, Y., Bai, H., et al. (2021). Puerarin inhibits the development of osteoarthritis through anti-inflammatory and antimatrix-degrading pathways in osteoarthritis-induced rat model. Phytother. Res. 35 (5), 2579–2593. doi:10.1002/ptr.6988
Ma, R., Fang, L., Chen, L., Wang, X., Jiang, J., and Gao, L. (2022). Ferroptotic stress promotes macrophages against intracellular bacteria. Theranostics 12 (5), 2266–2289. doi:10.7150/thno.66663
McNamara, L. M. (2021). Osteocytes and estrogen deficiency. Curr. Osteoporos. Rep. 19 (6), 592–603. doi:10.1007/s11914-021-00702-x
Miao, Y., Chen, Y., Xue, F., Liu, K., Zhu, B., Gao, J., et al. (2022). Contribution of ferroptosis and GPX4’s dual functions to osteoarthritis progression. EBioMedicine 76, 103847. doi:10.1016/j.ebiom.2022.103847
Molitoris, K. H., Huang, M., and Baht, G. S. (2024). Osteoimmunology of fracture healing. Curr. Osteoporos. Rep. 22 (3), 330–339. doi:10.1007/s11914-024-00869-z
Montalbetti, N., Simonin, A., Kovacs, G., and Hediger, M. A. (2013). Mammalian iron transporters: families SLC11 and SLC40. Mol. Asp. Med. 34 (2-3), 270–287. doi:10.1016/j.mam.2013.01.002
Mulero, M. C., Huxford, T., and Ghosh, G. (2019). NF-κB, IκB, and IKK: integral components of immune system signaling. Adv. Exp. Med. Biol. 1172, 207–226. doi:10.1007/978-981-13-9367-9_10
Nieuwenhuizen, L., Schutgens, R. E. G., van Asbeck, B. S., Wenting, M. J., van Veghel, K., Roosendaal, G., et al. (2013). Identification and expression of iron regulators in human synovium: evidence for upregulation in haemophilic arthropathy compared to rheumatoid arthritis, osteoarthritis, and healthy controls. Haemophilia 19 (4), e218–e227. doi:10.1111/hae.12208
Nugzar, O., Zandman-Goddard, G., Oz, H., Lakstein, D., Feldbrin, Z., and Shargorodsky, M. (2018). The role of Ferritin and adiponectin as predictors of cartilage damage assessed by arthroscopy in patients with symptomatic knee osteoarthritis. Best. Pract. Res. Clin. Rheumatol. 32 (5), 662–668. doi:10.1016/j.berh.2019.04.004
Ota, S., Chiba, D., Sasaki, E., Kumagai, G., Yamamoto, Y., Nakaji, S., et al. (2019). Symptomatic bone marrow lesions induced by reduced bone mineral density in middle-aged women: a cross-sectional Japanese population study. Arthritis Res. Ther. 21 (1), 113. doi:10.1186/s13075-019-1900-4
Pan, Z., He, Q., Zeng, J., Li, S., Li, M., Chen, B., et al. (2022). Naringenin protects against iron overload-induced osteoarthritis by suppressing oxidative stress. Phytomedicine 105, 154330. doi:10.1016/j.phymed.2022.154330
Piepoli, T., Mennuni, L., Zerbi, S., Lanza, M., Rovati, L. C., and Caselli, G. (2009). Glutamate signaling in chondrocytes and the potential involvement of NMDA receptors in cell proliferation and inflammatory gene expression. Osteoarthr. Cartil. 17 (8), 1076–1083. doi:10.1016/j.joca.2009.02.002
Qiao, K., Chen, Q., Cao, Y., Li, J., Xu, G., Liu, J., et al. (2021). Diagnostic and therapeutic role of extracellular vesicles in articular cartilage lesions and degenerative joint diseases. Front. Bioeng. Biotechnol. 9, 698614. doi:10.3389/fbioe.2021.698614
Qu, X., Sun, Z., Wang, Y., and Ong, H. S. (2021). Zoledronic acid promotes osteoclasts ferroptosis by inhibiting FBXO9-mediated p53 ubiquitination and degradation. PeerJ 9, e12510. doi:10.7717/peerj.12510
Regan, J. N., Trivedi, T., Guise, T. A., and Waning, D. L. (2017). The role of TGFβ in bone-muscle crosstalk. Curr. Osteoporos. Rep. 15 (1), 18–23. doi:10.1007/s11914-017-0344-5
Ren, R., Guo, J., Chen, Y., Zhang, Y., Chen, L., and Xiong, W. (2021). The role of Ca2+/Calcineurin/NFAT signaling pathway in osteoblastogenesis. Cell Prolif. 54 (11), e13122. doi:10.1111/cpr.13122
Roberts, B. C., Solomon, L. B., Mercer, G., Reynolds, K. J., Thewlis, D., and Perilli, E. (2018). Relationships between in vivo dynamic knee joint loading, static alignment and tibial subchondral bone microarchitecture in end-stage knee osteoarthritis. Osteoarthr. Cartil. 26 (4), 547–556. doi:10.1016/j.joca.2018.01.014
Ru, Q., Li, Y., Xie, W., Ding, Y., Chen, L., Xu, G., et al. (2023). Fighting age-related orthopedic diseases: focusing on ferroptosis. Bone Res. 11 (1), 12. doi:10.1038/s41413-023-00247-y
Ru, Q., Li, Y., Chen, L., Wu, Y., Min, J., and Wang, F. (2024). Iron homeostasis and ferroptosis in human diseases: mechanisms and therapeutic prospects. Signal Transduct. Target Ther. 9 (1), 271. doi:10.1038/s41392-024-01969-z
Scarpellini, C., Klejborowska, G., Lanthier, C., Hassannia, B., Vanden Berghe, T., and Augustyns, K. (2023). Beyond ferrostatin-1: a comprehensive review of ferroptosis inhibitors. Trends Pharmacol. Sci. 44 (12), 902–916. doi:10.1016/j.tips.2023.08.012
Simão, M., and Cancela, M. L. (2021). Musculoskeletal complications associated with pathological iron toxicity and its molecular mechanisms. Biochem. Soc. Trans. 49 (2), 747–759. doi:10.1042/BST20200672
Simão, M., Gavaia, P. J., Camacho, A., Porto, G., Pinto, I. J., Ea, H. K., et al. (2019). Intracellular iron uptake is favored in Hfe-KO mouse primary chondrocytes mimicking an osteoarthritis-related phenotype. Biofactors 45 (4), 583–597. doi:10.1002/biof.1520
Soeur, J., Eilstein, J., Léreaux, G., Jones, C., and Marrot, L. (2015). Skin resistance to oxidative stress induced by resveratrol: from Nrf2 activation to GSH biosynthesis. Free Radic. Biol. Med. 78, 213–223. doi:10.1016/j.freeradbiomed.2014.10.510
Stegen, S., Rinaldi, G., Loopmans, S., Stockmans, I., Moermans, K., Thienpont, B., et al. (2020). Glutamine metabolism controls chondrocyte identity and function. Dev. Cell 53 (5), 530–544.e8. doi:10.1016/j.devcel.2020.05.001
Stockwell, B. R., Friedmann Angeli, J. P., Bayir, H., Bush, A. I., Conrad, M., Dixon, S. J., et al. (2017). Ferroptosis: a regulated cell death nexus linking metabolism, redox biology, and disease. Cell 171 (2), 273–285. doi:10.1016/j.cell.2017.09.021
Su, Y., Shen, L., Xue, J., Zou, J., Wan, D., and Shi, Z. (2021). Therapeutic evaluation of galangin on cartilage protection and analgesic activity in a rat model of osteoarthritis. Electron. J. Biotechnol. 53, 8–13. doi:10.1016/j.ejbt.2021.05.005
Tan, Q., Yang, Z., Zhao, Z., Tian, Y., and Zhu, T. (2025). Diallyl disulfide knee joint injection protects against the early pathologic changes of articular cartilage and subchondral bone in ovariectomized rats. BMC Musculoskelet. Disord. 26 (1), 177. doi:10.1186/s12891-025-08395-4
Tang, D., Chen, X., Kang, R., and Kroemer, G. (2021). Ferroptosis: molecular mechanisms and health implications. Cell Res. 31 (2), 107–125. doi:10.1038/s41422-020-00441-1
Tsay, J., Yang, Z., Ross, F. P., Cunningham-Rundles, S., Lin, H., Coleman, R., et al. (2010). Bone loss caused by iron overload in a murine model: importance of oxidative stress. Blood 116 (14), 2582–2589. doi:10.1182/blood-2009-12-260083
Tu, H., Tang, L. J., Luo, X. J., Ai, K. L., and Peng, J. (2021). Insights into the novel function of system Xc-in regulated cell death. Eur. Rev. Med. Pharmacol. Sci. 25 (3), 1650–1662. doi:10.26355/eurrev_202102_24876
Usategui-Martín, R., Rigual, R., Ruiz-Mambrilla, M., Fernández-Gómez, J. M., Dueñas, A., and Pérez-Castrillón, J. L. (2022). Molecular mechanisms involved in hypoxia-induced alterations in bone remodeling. Int. J. Mol. Sci. 23 (6), 3233. doi:10.3390/ijms23063233
Van Coillie, S., Van San, E., Goetschalckx, I., Wiernicki, B., Mukhopadhyay, B., Tonnus, W., et al. (2022). Targeting ferroptosis protects against experimental (multi)organ dysfunction and death. Nat. Commun. 13 (1), 1046. doi:10.1038/s41467-022-28718-6
von Brackel, F. N., and Oheim, R. (2024). Iron and bones: effects of iron overload, deficiency and anemia treatments on bone. JBMR Plus 8 (8), ziae064. doi:10.1093/jbmrpl/ziae064
Wang, R., and Chen, Y. Q. (2022). Protein lipidation types: current strategies for enrichment and characterization. Int. J. Mol. Sci. 23 (4), 2365. doi:10.3390/ijms23042365
Wang, R., Wang, Z. M., Xiang, S. C., Jin, Z. K., Zhang, J. J., Zeng, J. C., et al. (2023a). Relationship between 25-hydroxy vitamin D and knee osteoarthritis: a systematic review and meta-analysis of randomized controlled trials. Front. Med. (Lausanne) 10, 1200592. doi:10.3389/fmed.2023.1200592
Wang, D., Fang, Y., Lin, L., Long, W., Wang, L., Yu, L., et al. (2023b). Upregulating miR-181b promotes ferroptosis in osteoarthritic chondrocytes by inhibiting SLC7A11. BMC Musculoskelet. Disord. 24 (1), 862. doi:10.1186/s12891-023-07003-7
Wang, Y. B., Li, Z. P., Wang, P., Wang, R. B., Ruan, Y. H., Shi, Z., et al. (2025). Iron dysregulation, ferroptosis, and oxidative stress in diabetic osteoporosis: mechanisms, bone metabolism disruption, and therapeutic strategies. World J. Diabetes 16 (6), 106720. doi:10.4239/wjd.v16.i6.106720
Wu, Z., Camargo, C. A., Sluyter, J. D., Khaw, K. T., Malihi, Z., Waayer, D., et al. (2019). Association between serum 25-hydroxyvitamin D levels and self-reported chronic pain in older adults: a cross-sectional analysis from the ViDA study. J. Steroid Biochem. Mol. Biol. 188, 17–22. doi:10.1016/j.jsbmb.2018.11.018
Wu, R., Guo, Y., Chen, Y., and Zhang, J. (2025). Osteoarthritis burden and inequality from 1990 to 2021: a systematic analysis for the global burden of disease study 2021. Sci. Rep. 15 (1), 8305. doi:10.1038/s41598-025-93124-z
Xiang, W., Zheng, Q., Liu, A., Huang, S., Chen, R., Qiu, J., et al. (2023). Recent therapeutic strategies for excessive chondrocyte death in osteoarthritis: a review. Orthop. Surg. 15 (6), 1437–1453. doi:10.1111/os.13718
Xiao, X., Moschetta, G. A., Xu, Y., Fisher, A. L., Alfaro-Magallanes, V. M., Dev, S., et al. (2023). Regulation of iron homeostasis by hepatocyte TfR1 requires HFE and contributes to hepcidin suppression in β-thalassemia. Blood 141 (4), 422–432. doi:10.1182/blood.2022017811
Xiao, J., Luo, C., Li, A., Cai, F., Wang, Y., Pan, X., et al. (2024). Icariin inhibits chondrocyte ferroptosis and alleviates osteoarthritis by enhancing the SLC7A11/GPX4 signaling. Int. Immunopharmacol. 133, 112010. doi:10.1016/j.intimp.2024.112010
Xiao, R., Han, Z., Jia, P., Li, P., Gong, M., Cai, Y., et al. (2025). Ferroptosis and bone health: bridging the gap between mechanisms and therapy. Front. Immunol. 16, 1634516. doi:10.3389/fimmu.2025.1634516
Xie, W., Qi, S., Dou, L., Wang, L., Wang, X., Bi, R., et al. (2023). Achyranthoside D attenuates chondrocyte loss and inflammation in osteoarthritis via targeted regulation of Wnt3a. Phytomedicine 111, 154663. doi:10.1016/j.phymed.2023.154663
Xu, P., Lin, B., Deng, X., Huang, K., Zhang, Y., and Wang, N. (2022). VDR activation attenuates osteoblastic ferroptosis and senescence by stimulating the Nrf2/GPX4 pathway in age-related osteoporosis. Free Radic. Biol. Med. 193 (Pt 2), 720–735. doi:10.1016/j.freeradbiomed.2022.11.013
Xu, W., Zhang, B., Xi, C., Qin, Y., Lin, X., Wang, B., et al. (2023). Ferroptosis plays a role in human chondrocyte of osteoarthritis induced by IL-1β in vitro. Cartilage 14 (4), 455–466. doi:10.1177/19476035221142011
Xue, C., Luo, H., Wang, L., Deng, Q., Kui, W., Da, W., et al. (2023). Aconine attenuates osteoclast-mediated bone resorption and ferroptosis to improve osteoporosis via inhibiting NF-κB signaling. Front. Endocrinol. (Lausanne) 14, 1234563. doi:10.3389/fendo.2023.1234563
Yan, H. F., Zou, T., Tuo, Q. Z., Xu, S., Li, H., Belaidi, A. A., et al. (2021). Ferroptosis: mechanisms and links with diseases. Signal Transduct. Target Ther. 6 (1), 49. doi:10.1038/s41392-020-00428-9
Yan, J., Bao, L., Liang, H., Zhao, L., Liu, M., Kong, L., et al. (2025). A druglike Ferrostatin-1 analogue as a ferroptosis inhibitor and photoluminescent indicator. Angew. Chem. Int. Ed. Engl. 64 (20), e202502195. doi:10.1002/anie.202502195
Yanatori, I., and Kishi, F. (2019). DMT1 and iron transport. Free Radic. Biol. Med. 133, 55–63. doi:10.1016/j.freeradbiomed.2018.07.020
Yang, W., Wang, Y., Zhang, C., Huang, Y., Yu, J., Shi, L., et al. (2022). Maresin1 protect against ferroptosis-induced liver injury through ROS inhibition and Nrf2/HO-1/GPX4 activation. Front. Pharmacol. 13, 865689. doi:10.3389/fphar.2022.865689
Yang, M., Su, Y., Xu, K., Wen, P., Xie, J., Wan, X., et al. (2025a). Viral infections of the central nervous system increase the risk of knee osteoarthritis: a two-sample Mendelian randomization study. Aging Clin. Exp. Res. 37 (1), 30. doi:10.1007/s40520-025-02927-7
Yang, L., Wang, D., Yu, N., and Zhu, C. (2025b). FBXW7 promotes osteoarthritis injury by regulating SLC7A11 ubiquitination degradation and chondrocyte ferroptosis. Pathology - Res. Pract. 13, 156297. doi:10.1016/j.prp.2025.156297
Yao, X., Sun, K., Yu, S., Luo, J., Guo, J., Lin, J., et al. (2021). Chondrocyte ferroptosis contribute to the progression of osteoarthritis. J. Orthop. Transl. 27, 33–43. doi:10.1016/j.jot.2020.09.006
Yu, G., Lin, Y., Dai, H., Xu, J., and Liu, J. (2023). Association between serum 25-hydroxyvitamin D and osteoarthritis: a national population-based analysis of NHANES 2001-2018. Front. Nutr. 10, 1016809. doi:10.3389/fnut.2023.1016809
Zhang, Y., Zou, L., Li, X., Guo, L., Hu, B., Ye, H., et al. (2024). SLC40A1 in iron metabolism, ferroptosis, and disease: a review. WIREs Mech. Dis. 16 (4), e1644. doi:10.1002/wsbm.1644
Keywords: bone metabolism, chondrocytes, ferroptosis, inflammation, osteoarthritis, osteoblasts, osteoclasts
Citation: Xiao J, Zhu Y, Chen J, Hong Y and Cao Y (2025) Ferroptosis at the intersection of osteoarthritis and bone metabolism: mechanistic links and therapeutic prospects. Front. Cell Dev. Biol. 13:1722435. doi: 10.3389/fcell.2025.1722435
Received: 10 October 2025; Accepted: 28 November 2025;
Published: 17 December 2025.
Edited by:
Patrice X. Petit, Centre National de la Recherche Scientifique (CNRS), FranceReviewed by:
Junzheng Yang, Consun Pharmaceutic Group, ChinaWei Sun, Jiangyin People’s Hospital, China
Copyright © 2025 Xiao, Zhu, Chen, Hong and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yan Zhu, enlkemYyMDA4QDE2My5jb20=
Yujie Hong1