Mol. Cells 2015; 38(8): 677-684
Published online August 5, 2015
https://doi.org/10.14348/molcells.2015.0200
© The Korean Society for Molecular and Cellular Biology
Correspondence to : *Correspondence: jinhkim@snu.ac.kr
Osteoarthritis (OA) is one of the most prevalent forms of joint disorder, associated with a tremendous socioeconomic burden worldwide. Various non-genetic and lifestyle-related factors such as aging and obesity have been recognized as major risk factors for OA, underscoring the potential role for epigenetic regulation in the pathogenesis of the disease. OA-associated epigenetic aberrations have been noted at the level of DNA methylation and histone modification in chondrocytes. These epigenetic regulations are implicated in driving an imbalance between the expression of catabolic and anabolic factors, leading eventually to osteoarthritic cartilage destruction. Cellular senescence and metabolic abnormalities driven by OA-associated risk factors appear to accompany epigenetic drifts in chondrocytes. Notably, molecular events associated with metabolic disorders influence epigenetic regulation in chondrocytes, supporting the notion that OA is a metabolic disease. Here, we review accumulating evidence supporting a role for epigenetics in the regulation of cartilage homeostasis and OA pathogenesis.
Keywords cartilage, chondrocytes, epigenetics, metabolism, osteoarthritis
OA is the most prevalent form of arthropathy, the incidence of which increases with age, affecting around 50% of the aged population (Dillon et al., 2006; Lawrence et al., 2008). OA is primarily characterized by structural damage and functional failure of articular cartilage. Cartilage homeostasis is maintained by chondrocytes, a unique cell type resident in cartilage. Chondrocytes express various extracellular matrix (ECM) molecules such as type II collagen and sulfated proteoglycans, which are essential components of chondrocyte anabolism (Knudson and Knudson, 2001; Lefebvre et al., 1998). Dense aggregates of negatively charged proteoglycans attract water molecules and promote osmotic swelling, endowing the tissue with resistance to compressive loading. A network of cross-linked collagen fibrils, in contrast, provides tensile resistance and counterbalances this osmotic swelling, imparting tissue integrity and load-bearing properties to articular cartilage.
OA chondrocytes, on the other hand, are characterized by accelerated catabolic processes as well as suppression of anabolic processes. Upregulation of matrix-degrading enzymes such as matrix metalloproteinases (MMPs), and a disintegrin and metalloproteinases with thrombospondin motifs (ADAMTS) family drives degradation of cartilage ECM, eventually leading to cartilage destruction (Heinegard and Saxne, 2011; Kim et al., 2014). Inflammatory mediators such as COX2 and NO further contribute to eliciting imbalance between chondrocyte catabolism and anabolism (Houard et al., 2013).
Various etiological factors for OA have been noted, including those unrelated to genetics, such as age, obesity, dietary factors, sedentary life style, and injury (Buckwalter and Brown, 2004; Loeser, 2013; Wluka et al., 2013). However, the precise molecular and cellular mechanisms by which these environmental OA risk factors mediate the disruption of cartilage homeostasis remain elusive. Recent progress in elucidating the epigenetic regulation of chondrocyte catabolism and anabolism has shed light on the molecular pathogenesis of OA.
DNA methylation, which is associated with the remodeling of chromatin structure, plays an essential role in regulating gene expression. The alteration of chromatin structure induced by DNA methylation blocks the access of transcriptional machineries to the promoter regions of target genes and facilitates the recruitment of repressive chromatin remodeling complexes, collectively causing transcriptional repression (Razin, 1998). DNA methylation patterns are regulated by several different DNA methyltransferases (DNMTs) such as DNMT1, DNMT3A, and DNMT3B (Pradhan and Esteve, 2003). In fact, DNMT1 and DNMT3A are present at high levels in cartilage tissue, suggesting possible roles for these enzymes in the regulation of chondrocyte homeostasis (Sesselmann et al., 2009). However, it was reported that there is no apparent change in the overall DNA methylation content in chondrocytes isolated from OA patients (Sesselmann et al., 2009). Instead, DNA methylation patterns in OA chondrocytes exhibit dynamic alterations when examined at the promoter regions of individual genes (Fernandez-Tajes et al., 2014).
In OA, inflammatory cytokines such as IL-1β promote the expression of matrix-degrading enzymes (Troeberg and Nagase, 2012). Demethylation of CpG sites within the
Similarly, DNA methylation influences the expression levels of anabolic factors during the pathogenesis of OA. Hypermethylation of the
The post-translational modification of histones includes acetylation, methylation, ubiquitination, sumoylation, and phosphorylation. The overall pattern of histone modification regulates interaction between DNA, regulatory proteins, and other histone molecules, thereby affecting gene expression (Kouzarides, 2007).
Histone N-terminal tails protruding from nucleosomes are subjected to acetylation modifications by histone acetyltransferases (HATs), which include three major families: Gcn5 N-acetyltransferases (GNATs), p300/CBP, and MYST family (named for its founder members Morf, Ybf2, Sas2, and Tip60) (Sterner and Berger, 2000). Histone acetylation mediated by p300/CBP leads to transcriptional activation of
Histone deacetylases (HDACs), in contrast, oppose the action of HAT enzymes by removing the acetyl group from lysine residues. HDACs are subdivided into two groups: The SIR2 family of NAD+-dependent protein deacetylases and the classical HDAC family. The SIR2 family, consisting of seven family members in mammals (SIRT1-7), removes acetyl groups from lysine residues of histones H3 and H4, and non-histone proteins (Blander and Guarente, 2004; de Ruijter et al., 2003). In chondrocytes, SIRT1, one of the most extensively studied SIRT family members, was shown to promote the expression of cartilage-specific genes in a SOX9-dependent manner (Dvir-Ginzberg et al., 2008). SIRT1 forms a complex with SOX9 and targets it for deacetylation. The complex is subsequently brought to the enhancer and promoter regions of
Classical HDACs remove acetyl groups from N-acetyl lysine residues on histones, enabling the histones to wrap DNA more tightly to repress transcription. The broad inhibition of HDACs by trichostatin A (TSA) or PXD101 was shown to suppress
HDACs generally augment imbalance between catabolism and anabolism in chondrocytes, and the potential of HDAC inhibitors as therapeutic agents for OA treatment have been extensively investigated. TSA, butyric acid (BA), and vorinostat treatment have been shown to effectively diminish IL-1-mediated expression of inducible nitric oxide (NO) synthase (iNOS), COX2, and MMPs (Chabane et al., 2008; Zhong et al., 2013). These anti-inflammatory effects of HDAC inhibitors were demonstrated in vivo, with concomitant suppression of osteoarthritic cartilage destruction and synovitis (Nasu et al., 2008).
Meanwhile, histone methylation is mediated by histone methyl transferases (HMTs). Methylation can occur on both lysine and arginine residues in histones without altering the net charge of the affected residues. SOX9, a transcriptional regulator of
The increasing prevalence of OA in aging individuals supports the possibility that aging-associated events have causal effects on epigenetic drift, driving catabolic and anabolic imbalance in chondrocytes. Age-associated increase of oxidative stress, indicated by elevated reactive oxygen species (ROS) level, has been noted in chondrocytes (Carlo and Loeser, 2003; Jallali et al., 2005). Overall ROS level is controlled by the collective actions of enzymes such as glutathione peroxidase, superoxide dismutase, and catalase in normal chondrocytes. However, the senescence of chondrocytes disrupts this delicate balance between ROS generation and its defense mechanisms, resulting in an elevation in ROS level (Ruiz-Romero et al., 2009). An increase in ROS levels, in turn, has been shown to affect the stability and activity of histone modifying enzymes. ROS induce covalent modification of SIRT1 by carbonylating it on the thiol groups of cysteine residues between amino acid residues 467 and 492 (Caito et al., 2010). Carbonylated SIRT1 exhibits reduced protein stability, presumably becoming associated with the ubiquitin-mediated proteasome degradation pathway (Isabella Dalle - Donne, 2006). Moreover, carbonylation of SIRT1 also occurs on the NAD+ binding pocket, thereby reducing its enzymatic activity (Caito et al., 2010). HDAC proteins are also a target of carbonylation under oxidative stress conditions. Oxidative stress generates 4-hydroxy-2-nonenal (4-HNE) and acrolein, which in turn react with histidine groups of HDAC2. This covalent modification in HDAC2 is responsible for reducing its protein stability (Marwick et al., 2004). Nitration also acts as a mediator, linking oxidative stress levels to HDAC2 regulation. The identified nitration sites in HDAC2 include Y167, Y173, Y146, Y68, Y73, and Y253, and nitration on the Y253 residue primes HDAC2 for the proteasome pathway (Osoata et al., 2009).
Aging-associated production of ROS elicits DNA damage, which in turn triggers activation of DNA repair mechanisms. In line with evidence indicating a role for DNA methylation in repairing processes, DNMT1 and DNMT3A were shown to be recruited to the sites of DNA damage, where they methylate neighboring CpG sites (Morano et al., 2014), potentially causing hypermethylation of the CpG sites, which results in suppression of gene expression.
Epigenetic modifications such as acetylation, methylation, and glycosylation are influenced by the intracellular metabolic state. By altering epigenetic profiles, cells respond to metabolic challenges and adapt to it by subsequently changing intracellular signal transduction and gene expression (Metallo and Vander Heiden, 2010).
Oxygen levels in the joint environment substantially affect energy and metabolic state of chondrocytes, influencing catabolic and anabolic factor expression (Schipani et al., 2001). In particular, in articular cartilage which is under hypoxic conditions due to its avascular nature, HIF-1α may serve as an epigenetic mediator by directly inducing SIRT1 expression and activating SIRT1-driven epigenetic programs (Chen et al., 2011).
Metabolites from cellular metabolic pathways may act as sensors of energy state, and mediate corresponding epigenetic changes. Acetyl-CoA, a component of the tricarboxylic acid (TCA) cycle and an essential building block for key metabolic biomolecules, can also serve as a substrate for HATs (Kaelin and McKnight, 2013). Consequently, the intracellular acetyl-CoA level determines the acetylation patterns of lysine residues as a measure of metabolic state, regulating cell growth and proliferation (Cai and Tu, 2011). Moreover, the activity of ATP-citrate lyase (ACL), which is an enzyme synthesizing acetyl-CoA from glucose-derived citrate in mammals, depends on glucose abundance. Therefore, ACL is capable of serving as a nutrient sensor, linking intracellular energy state into histone acetylation and gene expression profiles (Hatzivassiliou et al., 2005; Wellen et al., 2009).
Methyltransferases use S-adenosylmethionine (SAM), derived from the methionine cycle, as a methyl group donor. The production rate of SAM is regulated by the activity of ATP-dependent methionine adenosyltransferase (MAT). Thus, cellular ATP controls the intracellular level of SAM and the activity of various methyltransferases, in turn influencing transcription profiles (Nishikawa et al., 2015). Many other enzymes regulating epigenetic changes use biological metabolites such as NAD+ (protein deacetylase/mono-ADP ribosyltransferase, and sirtuin), FAD (FAD-dependent histone demethylase), and 2-oxoglutarate (2-oxoglutarate-dependent histone demethylase) as cofactors, or UDP-N-acetylglucosamine (O-linked N-acetylglucosamine transferase) as a substrate.
The effect of metabolites on epigenetic regulation supports the link between metabolism and the molecular pathogenesis of various diseases (Kaelin and McKnight, 2013). SIRT family members have been demonstrated to be key metabolic regulators in controlling glucose and lipid metabolism (Picard et al., 2004; Schwer and Verdin, 2008), and gluconeogenesis in muscle and liver (Liu et al., 2008). SIRT1 promotes insulin secretion and ATP production upon glucose stimulation of pancreatic β cells (Bordone et al., 2006). In metabolic syndrome patients with insulin resistance or atherosclerosis, downregulation of SIRT1 was observed in monocytes in response to glucose or fatty acid treatment (de Kreutzenberg et al., 2010). Isoforms of the HDAC family are implicated in regulating lipid metabolism during adipogenesis (Iyer et al., 2012). Genetic deletion of
There has been substantial evidence for the idea that the prevalence of OA is positively correlated with that of metabolic syndrome (Table 1) (Kornaat et al., 2009; Puenpatom and Victor, 2009; Zhuo et al., 2012). Among the main features of metabolic syndrome, obesity has been considered to be a major risk factor for OA occurrence in the joints of knees, hip, and hands (Griffin and Guilak, 2005; Oliveria et al., 1999). However, a mechanistic understanding of the association between obesity and OA remains elusive. The simplest view indicates that obesity exacerbates joint strength by imposing a higher degree of mechanical loading on the joint (Guilak, 2011). Clinical studies have supported the idea that abnormal loading jeopardizes the structure and integrity of the knee joint, facilitating OA development (Maly et al., 2005; Mundermann et al., 2005). However, the notion that mechanical loading is the sole factor for obesity-induced OA is controversial. A series of studies demonstrate that the incidence and severity of hand OA have a positive correlation with body mass index (BMI), although mechanical loading from body weight cannot participate in the pathogenesis of this type of OA (Carman et al., 1994).
Adipokines released from fat tissues may represent a potential link between obesity and OA. Strikingly, obese mice with impairment in leptin signaling, due to deletion of leptin or leptin receptor, do not exhibit differences in terms of severity of OA in comparison to mice with normal body weight (Griffin et al., 2009). In fact, synovial fluid of OA patients was characterized to have elevated levels of leptin (Dumond et al., 2003; Ku et al., 2009). Increased levels of leptin in synovial fluid and cartilage promote cartilage catabolism by upregulating
Other adipokines, such as adiponectin (Chen et al., 2006; Lago et al., 2008) and visfatin, (Duan et al., 2012) were found to be responsible for the regulation of chondrocyte metabolism. Adiponectin is known to regulate homeostasis of whole body energy by controlling glucose and lipid metabolism, and abnormalities in its regulation have been implicated in several metabolic disorders including obesity (Kim et al., 2015). While alterations of adiponectin level were noted in OA cartilage and synovial fluid (Honsawek and Chayanupatkul, 2010; Koskinen et al., 2011; Yusuf et al., 2011), the role of this adipokine in OA development remains controversial. A study by Kang and colleagues suggests that that adiponectin promotes chondrocyte catabolism by upregulating MMPs and NOS2 levels via AMPK and JNK pathways (Kang et al., 2010). Others have suggested a chondroprotective function for adiponectin, demonstrating its role in upregulating inhibition of metalloproteinase 2 (TIMP2) and downregulating MMP13 (Chen et al., 2006; Yusuf et al., 2011). Visfatin (encoded by
In addition to obese individuals, patients with hypertension are highly likely to suffer from OA (Conaghan et al., 2005; Hart et al., 1995). Hypertension triggers the onset of subchondral ischemia, which is considered to promote the pathogenesis of OA, by restricting the formation of subchondral vessels and limiting nutrient and gas support to cartilage (Findlay, 2007). Hypertension is presumed to affect a subset of epigenetic pathways that are regulated by glucose or oxygen in cartilage.
The recognition of non-genetic factors, such as aging or obesity, as principal risk factors for OA has highlighted the potential significance of epigenetics in the pathogenesis of this disease (Fig. 2). A series of studies reviewed in this paper indicate that various types of epigenetic drift at the level of DNA methylation or histone modification are implicated in regulating chondrocyte catabolism and anabolism, over the course of OA development. These epigenetic regulations in chondrocytes are substantially affected by cellular senescence, or energy and metabolic state. Moreover, the close correlation between the occurrence of OA and metabolic disorders supports the idea that OA is a metabolic disease. Animal studies targeting the components of epigenetic regulators have demonstrated the potential of these compounds as therapeutic options for OA treatment. Rapid advances in molecular biology techniques, such as epigenome sequencing and ChIP technologies, are expected to lead to a more comprehensive understanding of epigenetic regulation in the pathogenesis of OA.
. Effect of aging and metabolic abnormalities on OA progression
Risk factors | Mediators | Progression of OA | Reference | |
---|---|---|---|---|
Aging (Senescence) | Reactive oxygen species | Increase | Caito et al., 2010; Isabella Dalle - Donne, 2006; Marwick et al., 2004; Osoata et al., 2009 | |
Obesity | Mechanical loading | Increase | Guilak 2011; Maly et al., 2005; Mundermann et al., 2005 | |
No effect | Carman et al., 1994 | |||
Adipokine | Leptin | Increase | Iliopoulos et al., 2007; Otero et al., 2005 | |
Adiponectin | Increase | Kang et al., 2010 | ||
Decrease | Chen et al., 2006; Yusuf et al., 2011 | |||
Visfatin | Increase | Duan Hao et al., 2012; Gosset et al., 2008; Yammani and Loeser, 2012; Yang et al., 2015 | ||
Hypertension | Subchondral ischemia | Increase | Hong et al., 2011 |
Mol. Cells 2015; 38(8): 677-684
Published online August 31, 2015 https://doi.org/10.14348/molcells.2015.0200
Copyright © The Korean Society for Molecular and Cellular Biology.
Hyeonkyeong Kim, Donghyun Kang, Yongsik Cho, and Jin-Hong Kim*
Department of Biological Sciences, Seoul National University, Seoul 151-747, Korea
Correspondence to:*Correspondence: jinhkim@snu.ac.kr
Osteoarthritis (OA) is one of the most prevalent forms of joint disorder, associated with a tremendous socioeconomic burden worldwide. Various non-genetic and lifestyle-related factors such as aging and obesity have been recognized as major risk factors for OA, underscoring the potential role for epigenetic regulation in the pathogenesis of the disease. OA-associated epigenetic aberrations have been noted at the level of DNA methylation and histone modification in chondrocytes. These epigenetic regulations are implicated in driving an imbalance between the expression of catabolic and anabolic factors, leading eventually to osteoarthritic cartilage destruction. Cellular senescence and metabolic abnormalities driven by OA-associated risk factors appear to accompany epigenetic drifts in chondrocytes. Notably, molecular events associated with metabolic disorders influence epigenetic regulation in chondrocytes, supporting the notion that OA is a metabolic disease. Here, we review accumulating evidence supporting a role for epigenetics in the regulation of cartilage homeostasis and OA pathogenesis.
Keywords: cartilage, chondrocytes, epigenetics, metabolism, osteoarthritis
OA is the most prevalent form of arthropathy, the incidence of which increases with age, affecting around 50% of the aged population (Dillon et al., 2006; Lawrence et al., 2008). OA is primarily characterized by structural damage and functional failure of articular cartilage. Cartilage homeostasis is maintained by chondrocytes, a unique cell type resident in cartilage. Chondrocytes express various extracellular matrix (ECM) molecules such as type II collagen and sulfated proteoglycans, which are essential components of chondrocyte anabolism (Knudson and Knudson, 2001; Lefebvre et al., 1998). Dense aggregates of negatively charged proteoglycans attract water molecules and promote osmotic swelling, endowing the tissue with resistance to compressive loading. A network of cross-linked collagen fibrils, in contrast, provides tensile resistance and counterbalances this osmotic swelling, imparting tissue integrity and load-bearing properties to articular cartilage.
OA chondrocytes, on the other hand, are characterized by accelerated catabolic processes as well as suppression of anabolic processes. Upregulation of matrix-degrading enzymes such as matrix metalloproteinases (MMPs), and a disintegrin and metalloproteinases with thrombospondin motifs (ADAMTS) family drives degradation of cartilage ECM, eventually leading to cartilage destruction (Heinegard and Saxne, 2011; Kim et al., 2014). Inflammatory mediators such as COX2 and NO further contribute to eliciting imbalance between chondrocyte catabolism and anabolism (Houard et al., 2013).
Various etiological factors for OA have been noted, including those unrelated to genetics, such as age, obesity, dietary factors, sedentary life style, and injury (Buckwalter and Brown, 2004; Loeser, 2013; Wluka et al., 2013). However, the precise molecular and cellular mechanisms by which these environmental OA risk factors mediate the disruption of cartilage homeostasis remain elusive. Recent progress in elucidating the epigenetic regulation of chondrocyte catabolism and anabolism has shed light on the molecular pathogenesis of OA.
DNA methylation, which is associated with the remodeling of chromatin structure, plays an essential role in regulating gene expression. The alteration of chromatin structure induced by DNA methylation blocks the access of transcriptional machineries to the promoter regions of target genes and facilitates the recruitment of repressive chromatin remodeling complexes, collectively causing transcriptional repression (Razin, 1998). DNA methylation patterns are regulated by several different DNA methyltransferases (DNMTs) such as DNMT1, DNMT3A, and DNMT3B (Pradhan and Esteve, 2003). In fact, DNMT1 and DNMT3A are present at high levels in cartilage tissue, suggesting possible roles for these enzymes in the regulation of chondrocyte homeostasis (Sesselmann et al., 2009). However, it was reported that there is no apparent change in the overall DNA methylation content in chondrocytes isolated from OA patients (Sesselmann et al., 2009). Instead, DNA methylation patterns in OA chondrocytes exhibit dynamic alterations when examined at the promoter regions of individual genes (Fernandez-Tajes et al., 2014).
In OA, inflammatory cytokines such as IL-1β promote the expression of matrix-degrading enzymes (Troeberg and Nagase, 2012). Demethylation of CpG sites within the
Similarly, DNA methylation influences the expression levels of anabolic factors during the pathogenesis of OA. Hypermethylation of the
The post-translational modification of histones includes acetylation, methylation, ubiquitination, sumoylation, and phosphorylation. The overall pattern of histone modification regulates interaction between DNA, regulatory proteins, and other histone molecules, thereby affecting gene expression (Kouzarides, 2007).
Histone N-terminal tails protruding from nucleosomes are subjected to acetylation modifications by histone acetyltransferases (HATs), which include three major families: Gcn5 N-acetyltransferases (GNATs), p300/CBP, and MYST family (named for its founder members Morf, Ybf2, Sas2, and Tip60) (Sterner and Berger, 2000). Histone acetylation mediated by p300/CBP leads to transcriptional activation of
Histone deacetylases (HDACs), in contrast, oppose the action of HAT enzymes by removing the acetyl group from lysine residues. HDACs are subdivided into two groups: The SIR2 family of NAD+-dependent protein deacetylases and the classical HDAC family. The SIR2 family, consisting of seven family members in mammals (SIRT1-7), removes acetyl groups from lysine residues of histones H3 and H4, and non-histone proteins (Blander and Guarente, 2004; de Ruijter et al., 2003). In chondrocytes, SIRT1, one of the most extensively studied SIRT family members, was shown to promote the expression of cartilage-specific genes in a SOX9-dependent manner (Dvir-Ginzberg et al., 2008). SIRT1 forms a complex with SOX9 and targets it for deacetylation. The complex is subsequently brought to the enhancer and promoter regions of
Classical HDACs remove acetyl groups from N-acetyl lysine residues on histones, enabling the histones to wrap DNA more tightly to repress transcription. The broad inhibition of HDACs by trichostatin A (TSA) or PXD101 was shown to suppress
HDACs generally augment imbalance between catabolism and anabolism in chondrocytes, and the potential of HDAC inhibitors as therapeutic agents for OA treatment have been extensively investigated. TSA, butyric acid (BA), and vorinostat treatment have been shown to effectively diminish IL-1-mediated expression of inducible nitric oxide (NO) synthase (iNOS), COX2, and MMPs (Chabane et al., 2008; Zhong et al., 2013). These anti-inflammatory effects of HDAC inhibitors were demonstrated in vivo, with concomitant suppression of osteoarthritic cartilage destruction and synovitis (Nasu et al., 2008).
Meanwhile, histone methylation is mediated by histone methyl transferases (HMTs). Methylation can occur on both lysine and arginine residues in histones without altering the net charge of the affected residues. SOX9, a transcriptional regulator of
The increasing prevalence of OA in aging individuals supports the possibility that aging-associated events have causal effects on epigenetic drift, driving catabolic and anabolic imbalance in chondrocytes. Age-associated increase of oxidative stress, indicated by elevated reactive oxygen species (ROS) level, has been noted in chondrocytes (Carlo and Loeser, 2003; Jallali et al., 2005). Overall ROS level is controlled by the collective actions of enzymes such as glutathione peroxidase, superoxide dismutase, and catalase in normal chondrocytes. However, the senescence of chondrocytes disrupts this delicate balance between ROS generation and its defense mechanisms, resulting in an elevation in ROS level (Ruiz-Romero et al., 2009). An increase in ROS levels, in turn, has been shown to affect the stability and activity of histone modifying enzymes. ROS induce covalent modification of SIRT1 by carbonylating it on the thiol groups of cysteine residues between amino acid residues 467 and 492 (Caito et al., 2010). Carbonylated SIRT1 exhibits reduced protein stability, presumably becoming associated with the ubiquitin-mediated proteasome degradation pathway (Isabella Dalle - Donne, 2006). Moreover, carbonylation of SIRT1 also occurs on the NAD+ binding pocket, thereby reducing its enzymatic activity (Caito et al., 2010). HDAC proteins are also a target of carbonylation under oxidative stress conditions. Oxidative stress generates 4-hydroxy-2-nonenal (4-HNE) and acrolein, which in turn react with histidine groups of HDAC2. This covalent modification in HDAC2 is responsible for reducing its protein stability (Marwick et al., 2004). Nitration also acts as a mediator, linking oxidative stress levels to HDAC2 regulation. The identified nitration sites in HDAC2 include Y167, Y173, Y146, Y68, Y73, and Y253, and nitration on the Y253 residue primes HDAC2 for the proteasome pathway (Osoata et al., 2009).
Aging-associated production of ROS elicits DNA damage, which in turn triggers activation of DNA repair mechanisms. In line with evidence indicating a role for DNA methylation in repairing processes, DNMT1 and DNMT3A were shown to be recruited to the sites of DNA damage, where they methylate neighboring CpG sites (Morano et al., 2014), potentially causing hypermethylation of the CpG sites, which results in suppression of gene expression.
Epigenetic modifications such as acetylation, methylation, and glycosylation are influenced by the intracellular metabolic state. By altering epigenetic profiles, cells respond to metabolic challenges and adapt to it by subsequently changing intracellular signal transduction and gene expression (Metallo and Vander Heiden, 2010).
Oxygen levels in the joint environment substantially affect energy and metabolic state of chondrocytes, influencing catabolic and anabolic factor expression (Schipani et al., 2001). In particular, in articular cartilage which is under hypoxic conditions due to its avascular nature, HIF-1α may serve as an epigenetic mediator by directly inducing SIRT1 expression and activating SIRT1-driven epigenetic programs (Chen et al., 2011).
Metabolites from cellular metabolic pathways may act as sensors of energy state, and mediate corresponding epigenetic changes. Acetyl-CoA, a component of the tricarboxylic acid (TCA) cycle and an essential building block for key metabolic biomolecules, can also serve as a substrate for HATs (Kaelin and McKnight, 2013). Consequently, the intracellular acetyl-CoA level determines the acetylation patterns of lysine residues as a measure of metabolic state, regulating cell growth and proliferation (Cai and Tu, 2011). Moreover, the activity of ATP-citrate lyase (ACL), which is an enzyme synthesizing acetyl-CoA from glucose-derived citrate in mammals, depends on glucose abundance. Therefore, ACL is capable of serving as a nutrient sensor, linking intracellular energy state into histone acetylation and gene expression profiles (Hatzivassiliou et al., 2005; Wellen et al., 2009).
Methyltransferases use S-adenosylmethionine (SAM), derived from the methionine cycle, as a methyl group donor. The production rate of SAM is regulated by the activity of ATP-dependent methionine adenosyltransferase (MAT). Thus, cellular ATP controls the intracellular level of SAM and the activity of various methyltransferases, in turn influencing transcription profiles (Nishikawa et al., 2015). Many other enzymes regulating epigenetic changes use biological metabolites such as NAD+ (protein deacetylase/mono-ADP ribosyltransferase, and sirtuin), FAD (FAD-dependent histone demethylase), and 2-oxoglutarate (2-oxoglutarate-dependent histone demethylase) as cofactors, or UDP-N-acetylglucosamine (O-linked N-acetylglucosamine transferase) as a substrate.
The effect of metabolites on epigenetic regulation supports the link between metabolism and the molecular pathogenesis of various diseases (Kaelin and McKnight, 2013). SIRT family members have been demonstrated to be key metabolic regulators in controlling glucose and lipid metabolism (Picard et al., 2004; Schwer and Verdin, 2008), and gluconeogenesis in muscle and liver (Liu et al., 2008). SIRT1 promotes insulin secretion and ATP production upon glucose stimulation of pancreatic β cells (Bordone et al., 2006). In metabolic syndrome patients with insulin resistance or atherosclerosis, downregulation of SIRT1 was observed in monocytes in response to glucose or fatty acid treatment (de Kreutzenberg et al., 2010). Isoforms of the HDAC family are implicated in regulating lipid metabolism during adipogenesis (Iyer et al., 2012). Genetic deletion of
There has been substantial evidence for the idea that the prevalence of OA is positively correlated with that of metabolic syndrome (Table 1) (Kornaat et al., 2009; Puenpatom and Victor, 2009; Zhuo et al., 2012). Among the main features of metabolic syndrome, obesity has been considered to be a major risk factor for OA occurrence in the joints of knees, hip, and hands (Griffin and Guilak, 2005; Oliveria et al., 1999). However, a mechanistic understanding of the association between obesity and OA remains elusive. The simplest view indicates that obesity exacerbates joint strength by imposing a higher degree of mechanical loading on the joint (Guilak, 2011). Clinical studies have supported the idea that abnormal loading jeopardizes the structure and integrity of the knee joint, facilitating OA development (Maly et al., 2005; Mundermann et al., 2005). However, the notion that mechanical loading is the sole factor for obesity-induced OA is controversial. A series of studies demonstrate that the incidence and severity of hand OA have a positive correlation with body mass index (BMI), although mechanical loading from body weight cannot participate in the pathogenesis of this type of OA (Carman et al., 1994).
Adipokines released from fat tissues may represent a potential link between obesity and OA. Strikingly, obese mice with impairment in leptin signaling, due to deletion of leptin or leptin receptor, do not exhibit differences in terms of severity of OA in comparison to mice with normal body weight (Griffin et al., 2009). In fact, synovial fluid of OA patients was characterized to have elevated levels of leptin (Dumond et al., 2003; Ku et al., 2009). Increased levels of leptin in synovial fluid and cartilage promote cartilage catabolism by upregulating
Other adipokines, such as adiponectin (Chen et al., 2006; Lago et al., 2008) and visfatin, (Duan et al., 2012) were found to be responsible for the regulation of chondrocyte metabolism. Adiponectin is known to regulate homeostasis of whole body energy by controlling glucose and lipid metabolism, and abnormalities in its regulation have been implicated in several metabolic disorders including obesity (Kim et al., 2015). While alterations of adiponectin level were noted in OA cartilage and synovial fluid (Honsawek and Chayanupatkul, 2010; Koskinen et al., 2011; Yusuf et al., 2011), the role of this adipokine in OA development remains controversial. A study by Kang and colleagues suggests that that adiponectin promotes chondrocyte catabolism by upregulating MMPs and NOS2 levels via AMPK and JNK pathways (Kang et al., 2010). Others have suggested a chondroprotective function for adiponectin, demonstrating its role in upregulating inhibition of metalloproteinase 2 (TIMP2) and downregulating MMP13 (Chen et al., 2006; Yusuf et al., 2011). Visfatin (encoded by
In addition to obese individuals, patients with hypertension are highly likely to suffer from OA (Conaghan et al., 2005; Hart et al., 1995). Hypertension triggers the onset of subchondral ischemia, which is considered to promote the pathogenesis of OA, by restricting the formation of subchondral vessels and limiting nutrient and gas support to cartilage (Findlay, 2007). Hypertension is presumed to affect a subset of epigenetic pathways that are regulated by glucose or oxygen in cartilage.
The recognition of non-genetic factors, such as aging or obesity, as principal risk factors for OA has highlighted the potential significance of epigenetics in the pathogenesis of this disease (Fig. 2). A series of studies reviewed in this paper indicate that various types of epigenetic drift at the level of DNA methylation or histone modification are implicated in regulating chondrocyte catabolism and anabolism, over the course of OA development. These epigenetic regulations in chondrocytes are substantially affected by cellular senescence, or energy and metabolic state. Moreover, the close correlation between the occurrence of OA and metabolic disorders supports the idea that OA is a metabolic disease. Animal studies targeting the components of epigenetic regulators have demonstrated the potential of these compounds as therapeutic options for OA treatment. Rapid advances in molecular biology techniques, such as epigenome sequencing and ChIP technologies, are expected to lead to a more comprehensive understanding of epigenetic regulation in the pathogenesis of OA.
. Effect of aging and metabolic abnormalities on OA progression.
Risk factors | Mediators | Progression of OA | Reference | |
---|---|---|---|---|
Aging (Senescence) | Reactive oxygen species | Increase | Caito et al., 2010; Isabella Dalle - Donne, 2006; Marwick et al., 2004; Osoata et al., 2009 | |
Obesity | Mechanical loading | Increase | Guilak 2011; Maly et al., 2005; Mundermann et al., 2005 | |
No effect | Carman et al., 1994 | |||
Adipokine | Leptin | Increase | Iliopoulos et al., 2007; Otero et al., 2005 | |
Adiponectin | Increase | Kang et al., 2010 | ||
Decrease | Chen et al., 2006; Yusuf et al., 2011 | |||
Visfatin | Increase | Duan Hao et al., 2012; Gosset et al., 2008; Yammani and Loeser, 2012; Yang et al., 2015 | ||
Hypertension | Subchondral ischemia | Increase | Hong et al., 2011 |
Jeong-Yeon Seo, Tae-Hyeon Kim, Kyeong-Rok Kang, HyangI Lim, Moon-Chang Choi, Do Kyung Kim, Hong Sung Chun, Heung-Joong Kim, Sun-Kyoung Yu, and Jae-Sung Kim
Mol. Cells 2023; 46(4): 245-255 https://doi.org/10.14348/molcells.2023.2149Jung-Ae Kim
Mol. Cells 2018; 41(4): 264-270 https://doi.org/10.14348/molcells.2018.0076Rilong Jin, Miaoda Shen, Liedao Yu, Xuanwei Wang, and Xiangjin Lin
Mol. Cells 2017; 40(3): 222-229 https://doi.org/10.14348/molcells.2017.2314