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BMC Musculoskeletal Disorders logoLink to BMC Musculoskeletal Disorders
. 2017 Aug 31;18:377. doi: 10.1186/s12891-017-1739-2

Analysis of DNA methylation in chondrocytes in rats with knee osteoarthritis

Xinxin Wang 1,2, Dezhi Tang 2,, Peng Shen 1,2, Hao Xu 2, Hongfu Qiu 1, Tao Wu 1, Xiang Gao 1,
PMCID: PMC5579940  PMID: 28859619

Abstract

Background

Knee osteoarthritis (KOA) is a degenerative knee disease commonly found in the ageing population. DNA methylation works with histone acetylation to participate in aging. Alterations of DNA methylation may involve the joint chondrocyte degeneration in KOA. The aim of this study is to detect DNA methylation changes in chondrocytes of rats with KOA.

Methods

The rat KOA model was established with the Hulth method (n = 10), while rats receiving sham operation served as the control (n = 10). At 16 weeks after modeling, the knee joint tissue was collected from half of the rats in each group for Micro-CT scanning, Haematoxylin& Eosin (HE) staining, ABH/OG staining, immunohistochemistry for Bax, Bcl-2 and Fas, and TUNNEL staining. Meanwhile, the articular cartilage was collected from the other half to detect promoter methylation in target genes with the MethylTarget approach.

Results

Micro-CT scanning, HE staining, ABH/OG staining, immunohistochemistry, and TUNNEL staining all showed more severe cartilage injury in the KOA group than in the control group, indicating successful establishment of KOA model. The methylation rate in the KOA group was significantly decreased for C/ebpα-2 (within a CpG island -452 bp to the initiation codon on chromosome 1 91,363,511), Cdk2 (within a CpG island -55 bp to the initiation codon on chromosome 7 3,132,362), Bak1 (within a CpG island 6452 bp to the initiation codon on chromosome 20 5,622,277), and Fas (within a CpG island on the entire chromosome 1 gene), compared with the sham group (P = 0.005, 0.008, 0.022 and 0.027, respectively).

Conclusion

The chondrocyte apoptosis and significantly reduced methylation levels of C/ebpα-2, Cdk2, Bak1, and Fas may participate in the pathogenesis of KOA. However, the exact mechanisms remain to be determined.

Keywords: Knee osteoarthritis, C/ebpα, Cdk2, Fas, Bak, Methylation

Background

Knee osteoarthritis (KOA) is a degenerative knee disease commonly found in the ageing population. It is usually derived from pathology of the cartilage, subchondral bone and synovial membrane of the knee joint. KOA is clinically characterized as progressive knee pain, swelling, stiffness, and restricted joint range of motion, and even joint deformity in serious conditions, resulting in loss-of-function of the joint, largely affecting the life quality of patients and posing a great economic burden [1]. Currently, there is no well treatment for KOA. All therapeutic approaches are aimed at ameliorating symptoms and improving joint functions. KOA is a multi-factorial disease. Apart from living style and healthy conditions, other factors like genetic aberrations and environmental factors also contribute to its occurrence. Changes in genetic modulation in cartilage have been implicated in the pathogenesis and progression of KOA. DNA methylation is one such player that has been receiving more and more attention. DNA methylation is a typical epigenetic modification of DNA to modify gene expression, which involves a process of transference of a methyl group on S-adenosyl methionine to the 5th atom of the cytosine ring under the catalysis effect of DNA methyltransferase, forming 5-methylcytosine. DNA methylation plays critical roles in embryo development, X chromosome inactivation, regulation of gene expression, gene imprinting and silencing, and tumorigenesis [2]. In addition, it works with histone acetylation to participate in aging. Alterations of DNA methylation may involve the joint chondrocyte degeneration in the elderly KOA patients. In this study, methylation was analyzed in KOA rats for 31 genes (C/ebpa, Cdk, Bak, Bax, Fas, Bcl, Tnfaip3, Tnfsf11, Il6r, Rel, Ikzf3, Irf5, Kdm4b, Aire, Nr3c1, Ptpn2, Mlh1, Irf8, Ifngr2, Nfkbie, Irak1, and Kdm6b, etc.) selected by searching the literatures [319]. These genes are directly or indirectly related to the metabolism of bone or cartilage through a common mechanism. By detecting the changes in methylation level of these genes, we hope to clarify the relationship between methylation alterations and KOA pathogenesis.

Methods

Animals

Twenty SPF-grade male SD rats (8 weeks, 180–200 g, Charles River Laboratories, Beijing, China) were randomly assigned into sham-operation and KOA model groups (n = 10 in each group). The rats were housed in groups of 5 in cages under room temperature of 21–22 °C with a 12 h light/dark cycle and free access to food and water. KOA modeling was performed after 1-week habituation. After fasting for 12 h, KOA model was established in the rats with the Hulth method [20]. Briefly, after anesthesia with intraperitoneal injection of 10% chloral hydrate, a longitudinal incision of 10 cm was made on skin at the inner side of the right hind knee of rat placed in a supine position. The medial collateral ligament was cut to open up the joint cavity, and medial meniscus was resected, then the anterior and posterior cruciate ligaments were cut. The anteriordrawer test was used to confirm rupture of the ligaments. Efforts were made to avoid artificial injury to articular cartilage. Sutures were made layer-by-layer. Rats in the sham group received only the same operation of skin incision. After surgery, chlortetracycline ointment was applied to the incision site and the surroundings to prevent infection.

Sample preparation

At 16 weeks after modeling, rats in each group were sacrificed by injection with pentobarbital sodium at a dose of 0.2 ml/100 g. The articular cartilage was collected from 5 rats in each group and stored in formalin until use for methylation analysis. Meanwhile, the knee joint of the right hind limb was collected from the left rats, fixed in formalin for 48 h, and stored in 75% ethanol at room temperature until Micro-CT scanning, Haematoxylin& Eosin (HE) staining, orange G (ABH/OG) staining, immunohistochemistry and TUNNEL staining.

Sample processing

After Micro-CT scanning (Scanco, vivaCT80), the knee joint tissue was decalcified in 14% EDTA (pH 7.40 ± 0.05) for 4 weeks with replacement of the decalcification medium every 2–3 days, followed by dehydration, wax immersing and embedding. Then the tissue was cut at 5 μm, and subsequently HE and ABH/OG staining, immunohistochemistry, and TUNNEL staining were conducted.

The articular cartilage underwent MethylTarget analysis of methylation of CpGIsland in the promoter region of 31 genes including C/ebpa, Cdk, Bak, Bax, Fas, Bcl, Tnfaip3, Tnfsf11, Il6r, Rel, Ikzf3, Irf5, Kdm4b, Aire, Nr3c1, Ptpn2, Mlh1, Irf8, Ifngr2, Nfkbie, Irak1, Kdm6b, etc. The MethylTarget test is an approach for DNA methylation level mapping following bisulfite treatment and bioinformatics data analysis, based on the second-generation high throughput sequencing platform [21, 22].

Bisulfite conversion and multiplex amplification

DNA methylation level was analyzed by MethylTargetTM, an NGS-based multiple TargetedCpG methylation analysis method.Specifically, the genomic regions of interest were analyzed and transformed to bisulfite-converted sequences by geneCpG software. PCR primers (Table 1) were designed using the Methylation Primer software based on the bisulfate converted DNA.

Table 1.

Primers of target genes

NO Primer Name sequence
1 Aire_F ATAGTATTTAGATATTTAAGGGAGAAGGGAA
Aire_R ACCTAAAACTTATCCTCAAAAACCAC
2 Atm_F GGTTTTATTGGYGGTGTTGAAT
Atm_R CACTCRCTCCCCTCAAAACATT
3 Bak1_1F GTGGAYGAGAGTAGTTTTAAGTGGTG
Bak1_1R CATTTCTTCCCTAAACCATTAACC
Bak1_2F GGAGTTGATTTTTGTYGGGAGTT
Bak1_2R AACTCCTAACTACTCCCRAAACCAA
4 Bax_1F GTATGYGTGAATTTAATGGTAGAGGTTT
Bax_1R TAATTCTCCRCCTCCCRCCTC
5 Bcl2_1F GTTTTAGATTTTTAGGGGAGAGATATGTT
Bcl2_1R ACACAATACRCRAACTACTCCTTAAACAC
Bcl2_2F GGGYGTTAGGTGTAGTTGATTGGATA
Bcl2_2R CCTAACATCTTCTCCTTCCAACCT
6 Cdk2_2F AAATTGTTAAGAGTTGAGTTTTGTTTG
Cdk2_2R TACCCTCTCCAATCTTCTCCAC
7 Cebpa_22F GGATAGAAGGGGTTTGGTGAG
Cebpa_22R AACCATTACACTAAAAAATCTTAACCTTAC
Cebpa_2F TGGAAAGTTATAAGAGAAGGTAGGTTT
Cebpa_2R CCACCCAATACCCCAACTC
Cebpa_3F GTAAGGTTAAGAAGTYGGTGGATAAGA
Cebpa_3R CCTTAACCAAAAAACTCTCAAACAAC
Cebpa_F GGTTTTTTAGAGTAGTAGGGYGTTAGGA
Cebpa_R CCRAAACATTTAACTAAAAACTCCAC
8 Cflar_F GGTTTTTTGAGATTTTTAGGGTTTATTAG
Cflar_R CTCCATTTTATAAACCCCAAAACA
9 Esr1_F AAGATGTTTATGGAGAGGGTTTTG
Esr1_R AAAACCCCCAAACTATTAACACC
10 Fas_1F GAGTTGTGTGGGTGTTAGTTTGTG
Fas_1R AACTACATATAAACATCTCTCATCACCAA
11 Icam1_F TGGGGAGTTATTAAGAYGTTTTAGTAGTTA
Icam1_R CATTCAAAAATATCCCTCTCCCTA
12 ICOSLG_F AGAGTGGAGAGTTGTAGTTGTTGG
ICOSLG_R CCCTACCCAACATCAAACTAAAC
13 Ifngr2_F GTGGGTGTYGTTGGGAGTTT
Ifngr2_R CCTTCAACAAATCTCCCTAACA
14 Ikzf3_F GGGTTGTAGTTGTTGTTTAGGTTT
Ikzf3_R CAAAATTCCTCAAACTTAACATTCAA
15 Il6r_F GATTTAGGATGTAGTTGAGTAAGATTTGT
Il6r_R ACCAACCTAAAACTAACCCACCTATACT
16 Irak1_F TGGATTTAGGTTTTTGGAGTTGA
Irak1_R CCCATCCCTAAAATCCCTAAAA
17 Irf5_F GGAGTAGGGAGGATGTTTATTGG
Irf5_R AACTACTACCAAACCACCRCTCC
Irf8_F TAGTTGGGTTTTTTGGGAAAGTAA
Irf8_R ACCCCRCCCTATCTATAAAAACAAA
18 Kdm4b_2F GGGTTGGTTGTGTGTATTTTGA
Kdm4b_2R CTCCCCTCATCAACACCTAAC
Kdm4b_4F AAGGGTGGAGTTYGGAGTATATAAGA
Kdm4b_4R TCAAAATACACACAACCAACCC
19 Kdm6b_2F GAGTATATTTTAGGTTTTGGTAGGTAGGG
Kdm6b_2R CRCCAAAAACCCTTCTACCTTTAT
Kdm6b_F GGGAAGGTTAGGGAAGGGA
Kdm6b_R ACACRCATTTAACCAACACCCAC
20 Mlh1_1F GTTGGGAAGGTGGTTTAGGA
Mlh1_1R CCAATTTTCAATCATCTCTTTAATAACA
Mlh1_2F GGTGTATTTTGTTYGGGTGATTTG
Mlh1_2R CRCAAACTCCACCACCAAATAAC
21 Nfkbie_F GGGATTTAGGGTTTAGTGGGATT
Nfkbie_R AAAACCCTTCAACTACCCAAAA
22 Nr3c1_23F GGTAGTTAGAGTTTTTGAGGGGATAGTT
Nr3c1_23R CTAACCCTCTCCTCTACRCTCCC
Nr3c1_24F AAGTTTGGGTTGTAGGTTGTGAG
Nr3c1_24R CRCCACCATCCCTAACCC
23 Nr3c1_F GATTTTTAAGAGGTTAGGTAGAGGAGAT
Nr3c1_R CCCTCTACCTCATACCATAAACTAAA
24 Ppara_2F GGTGTTAGGGTGGGTGTGG
Ppara_2R TACCCCCTACRCTATCAATTAACAA
Ppara_F TGAGGTGGGTGGATAGGG
Ppara_R CTCCAACCCACAAAACAACTAC
25 Ptpn2_F GGAGGTTGTTGGTTTTGAAGG
Ptpn2_R CTAACCCCATCAAAAAACTCTCTC
26 Rel_F GAATAGGTGTTTATTAGTAAGGGAAGG
Rel_R CAACCTTATTTTCCCTCTATATCTACATT
27 Tnfaip3_F GGATGTGAYGTGGAAGGTAGTTTT
Tnfaip3_R AAAACTACAAACTAAACAATTCCCTTT
28 Tnfsf11_F AGGAGATGGGTAGTTGTTTTGG
Tnfsf11_R AATCCTAAAACCAAACTCAATTTCC
29 Traf6_F GGAGATATTTGATTTYGGAGTGTTG
Traf6_R CAACRACACRTCCTTATCCCTT
30 Tyk2_F GATGATTAATAGGAATGTAGGATYGTG
Tyk2_R AACCTCCTCCCTACCAACTTC
31 Wnt2_F TGAAGAGTTGATTTTAGGGGTGA
Wnt2_R AACTTTATCAATAAATCTCACCACTAACC

Genomic DNA (400 ng) was treated with sodium bisulfite using an EZ DNA Methylation™-GOLD Kit (Zymo Research) according to the manufacturer’s protocols. Multiplex PCR was performed with an optimized combination of primers. A 20 μl PCR reaction mixture was prepared for each reaction, which included 1× reaction buffer (Takara), 3 mM Mg2+, 0.2 mMdNTP, 0.1 μM of each primer, 1 U HotStarTaq polymerase (Takara) and 2 μl template DNA.The PCR program included 95 °C for 2 min; 11 cycles of 94 °C for 20 s, 63 °C for 40s with a decreasing temperature step of 0.5 °C per cycle, 72 °C for 1 min; then 24 cycles of 94 °C for 20 s, 65 °C for 30 s, 72 °C for 1 min; and finally 72 °C for 2 min.

Index PCR

PCR amplicons were diluted and amplified using indexed primers. Specifically, a 20 μl mixture was prepared for each reaction, including 1× reaction buffer (NEB Q5TM), 0.3 mMdNTP, 0.3 μM F primer, 0.3 μM index primer, 1 U Q5TM DNA polymerase (NEB) and 1 μL diluted template. The PCR program was 98 °C for 30 s; 11 cycles of 98 °C for 10 s, 65 °C for 30 s, 72 °C for 30 s; and 72 °C for 5 min. PCR products (170 bp–270 bp) were separated by agarose electrophoresis and purified using QIAquick Gel Extraction kit (QIAGEN).

Sequencing

Libraries from different samples were quantified, pooled together, and used for sequencing on the IlluminaMiSeq platform according to the manufacturer’s protocols. Sequencing was performed with a 2x300bp paired-end mode.

Statistics

Quality control of sequencing reads was performed by FastQC. Filtered reads were mapped to genome by Blast after reads recalibration with USEARCH. All data are presented as mean ± SD and were analyzed with Independent samples t-test or U test to assess differences between groups. P < 0.05 was considered as statistically significant. Methylation and haplotype were analyzed using Perl script. Statistics were performed by t-test and ANOVA. Graphs were drawn with GraphPad Prism 5.0.

Results

Micro-CT, HE and ABH/OG staining

The reconstructed 3-dimensional image of the articular cartilage by Micro-CT showed a smooth surface of the articular cartilage with no osteophyte formation in the sham group (Fig. 1a1). The coronal section image (Fig. 1a2) showed thick, uniformly aligned trabeculae. However, the KOA group showed cartilage defects such as a rough surface, focal surface fissures and flaking, and exposure of the subchondral bone (Fig. 1b1). Round or oval-shaped osteophyteswere formed along the lining of joint. The coronal section image (Fig. 1b2) showed a thin cartilage layer, small, disorganized trabeculae, and subchondral bone cystic degeneration.

Fig. 1.

Fig. 1

Images of Micro-CT scanning of the rat knee joint. a1 and b1 are reconstructed 3-dimensional images; a2 and b2 are images of coronal sections

HE staining revealed a smooth surface of cartilage in the sham group, with even coloration of cartilage matrix into light pink and blue chondrocyte nuclei (Fig. 2). The cartilage had clear structural layers and a tidal line. The out layer of cartilage was composed of flat chondrocytes, the middle layer composed of round uniformly-aligned chondrocytes, and inner and calcification layers composed of proliferating chondrocytes. Meanwhile, the cartilage matrix was evenly stained into blue by ABH/OG staining (Fig. 3). In the KOA model group, HE staining a thin cartilage layer, superficial fibrillation, necrosis of chondrocytes, unclear nucleus and cytoplasm, a rough surface with fissures and flaking, portional loss of cartilage, exposure of the subchondral bone, uneven coloration, unclear structural layers and tidal line, proliferation of chondrocytes in the outlayer, disordered cell alignment, appearance of cell clusters, and blood vessels passing through the tide line. Meanwhile, weak and negative staining was seen by ABH/OG staining, with clear fibrillation (Fig. 3). These results suggest the successful modeling of KOA in rats with the Hulth method.

Fig. 2.

Fig. 2

HE staining of the knee joint. a, sham group; b, KOA model group

Fig. 3.

Fig. 3

ABH/OG staining of the knee joint. a, sham group; b, KOA model group

Immunohistochemistry and TUNNEL staining

Immunohistochemistry for apoptotic proteins Bax, Bcl-2, and Fas revealed brown positive cells. Six view fields were randomly selected under a microscope to count the positive cells and calculate the positive rate. Results showed significantly increased levels of Bax, Bcl-2, and Fas in the KOA group than in the sham group (Fig. 4, Table 1). TUNNEL staining revealed a significantly higher apoptosis rate in the KOA group than in the sham group (Fig. 4, Table 2).

Fig. 4.

Fig. 4

Immunohistochemistry of Bax, Bcl-2 and Fas in the knee joint. a, sham group; b, KOA model group

Table 2.

Quantitative analysis of immunohistochemistry and TUNNEL staining

Staining Positive rate (%) P value
Sham group KOA group
BAX 46.53 ± 3.86 88.62 ± 5.49 0.000
BCL-2 70.77 ± 7.61 85.99 ± 2.96 0.032
FAS 62.10 ± 1.68 89.77 ± 2.68 0.000
TUNNEL 50.65 ± 12.60 83.12 ± 13.79 0.040

Methylation analysis

A significantly decreased methylation rate was detected in the KOA group forC/ebpα-2 (within a CpG island -452 bp to the initiation codon on chromosome 1 91,363,511), Cdk2 (within a CpG island -55 bp to the initiation codon on chromosome 73,132,362), Bak1 (within a CpG island 6452 bp to the initiation codon on chromosome 20 5,622,277), and Fas (within CpG islands on the entire chromosome 1 gene), compared with the sham group (Fig. 6, Table 3).

Fig. 6.

Fig. 6

Methylation rate in the promoter region of C/ebpα (a), Cdk2 (b), Bak1 (c), and Fas (d)

Table 3.

Methylation rate in the promoter region of selected genes

Target genes (distance to the initiationcodon) sham group KOA group P value
Methylation rate (mean ± SD)
C/ebpα-2 (−452 bp) 0.01096 ± 0.0043 0.002572 ± 0.0024 0.005
Cdk2 (−55 bp) 0.013573 ± 0.0052 0.004166 ± 0.0030 0.008
Bak1 (6452 bp) 0.026212 ± 0.0139 0.007123 ± 0.0058 0.022
Fas 0.958532 ± 0.0063 0.944658 ± 0.0096 0.047

Discussion

KOA is a multifactorial disease with multiple contributors including genetic aberrations and environmental factors apart from life style and healthy conditions. Pathologically, KOA mainly involves degeneration of the cartilage and alterations of the cartilage matrix. Abnormalities of gene regulation in chondrocytes may be implicated in the pathogenesis and progression of KOA. DNA methylation is a typical form of epigenetic modification of DNA, and it works with histone acetylation to affect the aging process. Abnormal epigenetic modification is closely associated with KOA pathology as a result of environmental changes or aging, and affects KOA occurrence and progression via epigenetic modification. As epigenetic modification is a reversible process, it is reasonable to discover its role in KOA pathology, in which it slows down the development or even prevents the occurrence of KOA. In this study, we selected 31 KOA-related genes by searching literatures, and sequence their methylated sites, in order to clarify the relationship between gene methylation and KOA.

Results of Micro-CT scanning (Fig. 1), HE staining (Fig. 2), ABH/OG staining (Fig. 3), immunohistochemistry (Fig. 4) and TUNNEL staining (Fig. 5) all confirmed the successful establishment of KOA model in rats. In addition, the methylation rate in the KOA group was significantly lower than that in the sham group for genes C/ebpα-2 (within a CpG island -452 bp to the initiation codon on chromosome 1 91,363,511), Cdk2 (within a CpG island -55 bp to the initiation codon on chromosome 7 3,132,362), Bak1 (within a CpG island 6452 bp to the initiation codon on chromosome 20 5,622,277), and Fas (within a CpG island on the entire chromosome 1 gene) (Fig. 6, Table 2). The decreased methylation in KOA chondrocytes may cause increased expression of these genes, which would further induce chondrocyte injury or apoptosis, leading to the pathogenesis and progression of KOA.

Fig. 5.

Fig. 5

TUNEL staining of the knee joint. a and c, nuclei of chondrocyte; b and d, nuclei of apoptotic cells

Aggravated chondrocyte injury or apoptosis occurs upon KOA onset [23]. Cartilage does not contain blood vessels. It has a low regeneration capacity and is therefore hard to repair after injury. When cartilage injury is so severe that the subchondral bone is damaged, rupture of small blood vessels would occur within the marrow cavity of cancellous bone. Then the blood forms a layer of fibrous clot on the surface of damaged cartilage area. In the absence of an external overload, the undifferentiated mesenchymal cells in bone marrow would move into this clot, whereby they differentiate into chondroblasts and proliferate into cells with chondrocyte morphology and typical features, in most cases fibrocartilage. Generally, an injury with a diameter < 3 mm can repair through generation of a hyaline cartilage, while a larger area of injury would repair by fibrous tissue [24]. Under normal conditions, C/ebpα can modulate the differentiation and proliferation of bone marrow mesenchymal stem cells into chondrocytes, and inhibit apoptosis of chondrocytes.

Here we found decreased methylation in promoter regions of C/ebpα and Cdk2 genes, which may induce overexpression of them. C/ebpɑ is present in multiple cell types, and participates in cell proliferation, differentiation, development, and tumorigenesis [25]. C/ebpα acts mainly to induce cell differentiation and inhibit cell proliferation [26]. The cyclin-dependent kinase Cdk2 can stimulate meiosis of germ cells and the G1-S transition during the mitotic cycle by interacting with cyclin E in early phases of DNA synthesis [27], thereby acting as a rate-limiting enzyme during cell proliferation [28]. Cdk2 activity peaks at S and G2 phases. In late phase of DNA replication, Cdk2 is activated by cyclin A2 to drive the S-G2 transition [29]. Wang H et al. found that C/ebpα directly interacts with Cdk2 to inhibit cell proliferation. In C/ebpα knockout cells, they found significantly enhanced activity of Cdk2, resulting in increased proliferation [30]. In this study, the decreased methylation level in promoter region of C/ebpα-2 gene in chondrocytes may cause overproduction of C/ebpα-2, thereby inhibiting Cdk2 activity and chondrocyte proliferation. However, we also detected a lower level of methylation in the promoter region of Cdk2 gene. This may be compensation to the inhibition of Cdk2 activity, which would increase Cdk2 expression to attenuate the inhibitory effect of C/ebpα-2.

It has also been reported that changes in the time of expression and activity of Cdk2 are associated with cell apoptosis [31]. The relative expression level of cyclins varies according to specific phases of cell cycle. Cyclin E is highly expressed in G1/S phase, while cyclin B is highly expressed in M phase in normal cells. However, in apoptotic cells cyclin B can also be detected in G1 phase, and likely, other cyclins can be detected out of their specific phases. This alteration may be associated with the overexpression of Cdks [32], implying that cyclins and Cdks have other functions than that in cell cycling in apoptotic cells. In this study, the decreased methylation of Cdk2 in chondrocytes may cause overexpression of Cdk2, inducing abnormal activation of cyclins and resulting in failure of mitosis and finally apoptosis. In fact, there is report that apoptosis is a form of mitosis failure [33].

The apoptosis of chondrocytes in KOA is also mediated by the Fas/FasL death receptor pathway or Bak-induced mitochondrial mechanism [34]. Fas binds to its ligand FasL to activate the tyrosine kinase, inducing phosphorylation of intracellular serine/threonine, finally leading to DNA cleavage and cell apoptosis [35, 36]. Fas can also induce cell apoptosis by indirectly activating triphosphate inositol and diglycerides, which then cause a rapid calcium release from the endoplasmic reticulum into cytoplasm and an influx of extracellular calcium, resulting in DNA breakage and chromosome shrinkage, and finally cell apoptosis [37]. Bak (Bcl-2 homologous antagonist/killer) is a member of Bcl-2 gene family, but with a contrast function of promoting cell apoptosis [36, 38, 39]. Machner et al. found that the expression of Fas mRNA in KOA patients was significantly higher than that in the control group by quantitative PCR [11]. Karaliotas et al. reported a notable overexpression of median mRNA levels of BAX was also observed in patients with stage III KOA compared with the control, while the BCL2/BAX ratio was markedlydecreased [40].Płucienniket al.found that the BCL2/BAX ratiomay regulate the gene promoter methylation [41]. Accumulating evidence has shown overproduction of pro-apoptotic factors like Fas and Bak in KOA chondrocytes, which causes increased cell apoptosis, while targeted inhibition of these factors reduces apoptosis [4244]. Consistently, in this study we found increased expression of Fas, Bax and Bcl-2 in the KOA group than in the sham group using immunohistochemistry, and lower methylation levels in the promoter region of Fas and Bak1, which may induce their overexpression, thereby both leading to chondrocyte apoptosis. However, methylation in the promoter region of Fas genedid not play a key rolein the regulation at the level of its transcription, as the difference of the methylation of Fas gene between Sham and KOA groups was very slight. Li et al. reported that the transcription factors GA-binding protein (GABP) and activating protein-1 (AP-1) play a critical role in the induction of Fas mRNA [45]. Ryu et al.also found that Fas expression is transcriptionally induced by hypoxia-inducible factor (HIF)-2α [35]. In future, we will further study the transcriptional regulation of Fas gene by the transcription factors.

Conclusion

To sum up, genetic aberrations are involved in KOA. Apoptosis of chondrocytes is a major pathological event in KOA pathogenesis and progression. Cartilage degeneration is attributed to multiple rather than a single risk factor. Findings in this study suggest that decreased methylation in promoter region of C/ebpα, Cdk2, Fas, and Bak1 participates in the pathogenesis of KOA, but the underlying mechanisms and pathways involved remain to be determined.

Acknowledgements

We would like to thank for the person who gave assistance to this study.

Funding

This work was supported by the Three-Year Plan to Accelerate the Development of Chinese Medicine in Shanghai (ZY3-CCCX-3-3011, ZY3-LCPT-2-2003), the Twelfth Five-Year Key Project of the National Administration of Traditional Chinese Medicine; National Natural Science Foundation of China (81473701), and a project of Shanghai Key Laboratory of Geriatrics (13dz2260700).

Availability of data and materials

Summarized data have been presented in this manuscript. Raw data for this study are located and protected at Fudan University. Sharing of the raw data is not possible, because a secondary analysis is planned.

Abbreviations

ABH/OG staining

Alcin blue/Orange G staining

Bak

Bcl-2 Homologous antagonist/killer

Bcl-2

B-cell lymphoma-2

C/ebpα

CCAAT/enhancer binding protein ɑ

Cdk

Cyclin dependent kinase

EDTA

Ethylene DiamineTetraacetic Acid

Fas

Factor associated suicide

HE staining

Haematoxylin & eosin staining

KOA

Knee osteoarthritis

TUNNEL

Terminal-deoxynucleotidyltransferase mediated nick end labeling

Authors’ contributions

XXW, PS, and HX performed the experiments and are responsible for data acquisition. HFQ and TW performed data analysis. DZT and XG are responsible for the conception and design of the study. DZT and XG drafted the article, and revised it critically for important intellectual content. All authors have participated actively in carrying out and improving the study and all have approved the submission of this article.

Ethics approval and consent to participate

This study was approved by the Ethics Committee of Shanghai University of Traditional Chinese Medicine, China (No: SZY201507001). All procedures were in compliance with ethical guidelines for animal experiments. All efforts were made to minimize animal suffering.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interest with other people or any organizations.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Dezhi Tang, Email: dztang702@126.com.

Xiang Gao, Email: gaoxiang19710312@sina.com.

References

  • 1.Crane DM, Oliver KS, Bayes MC. Orthobiologics and knee osteoarthritis: a recent literature review, treatment algorithm, and Pathophysiology discussion. Phys Med RehabilClin N Am. 2016;27(4):985–1002. doi: 10.1016/j.pmr.2016.07.004. [DOI] [PubMed] [Google Scholar]
  • 2.Reynard LN. Analysis of genetics and DNA methylation in osteoarthritis: what have we learnt about the disease? Semin Cell Dev Biol. 2017;62:57–66. doi: 10.1016/j.semcdb.2016.04.017. [DOI] [PubMed] [Google Scholar]
  • 3.Xu YS, Jiang XJ, Chen JM. A single nucleotide polymorphism of AIRE gene located in the 21q22.3 increases the risk of rheumatoid arthritis. Oncotarget. 2017, published online. doi:10.18632/oncotarget.17746. [DOI] [PMC free article] [PubMed]
  • 4.Shao L, Fujii H, Colmegna I, et al. Deficiency of the DNA repair enzyme ATM in rheumatoid arthritis. J Exp Med. 2009;206(6):1435–1449. doi: 10.1084/jem.20082251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Liang M, Russell G, Hulley PA. Bim, Bak, and Bax regulate osteoblast survival. J Bone Miner Res. 2008;23(5):610–620. doi: 10.1359/jbmr.080106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Lin MN, Liu XX, Wang SL, et al. Effect of OA kneepad on apoptosis genes Bcl-2 and p53 expression in articular cartilage cells of experimental knee osteoarthritis. Zhongguo Gu Shang. 2009;22(9):688–691. [PubMed] [Google Scholar]
  • 7.Megyesi J, Tarcsafalvi A, Seng N, et al. Cdk2 phosphorylation of Bcl-xL after stress converts it to a pro-apoptotic protein mimicking Bax/Bak. Cell Death Discov. 2016;2:15066. doi: 10.1038/cddiscovery.2015.66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Roach HI, Aigner T. DNA methylation in osteoarthritic chondrocytes: a new molecular target. Osteoarthr Cartil. 2007;15(2):128–137. doi: 10.1016/j.joca.2006.07.002. [DOI] [PubMed] [Google Scholar]
  • 9.Okada Y, Wu D, Trynka G, et al. Genetics of rheumatoid arthritis contributes to biology and drug discovery. Nature. 2014;506(7488):376–381. doi: 10.1038/nature12873. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Lv H, Ma X, Che T, et al. Methylation of the promoter a of estrogen receptor alpha gene in hBMSC and osteoblasts and its correlation with homocysteine. Mol Cell Biochem. 2011;355(1–2):35–45. doi: 10.1007/s11010-011-0836-z. [DOI] [PubMed] [Google Scholar]
  • 11.Machner A, Baier A, Wille A, et al. Higher susceptibility to Fas ligand induced apoptosis and altered modulation of cell death by tumor necrosis factor-alpha in periarticular tenocytes from patients with knee joint osteoarthritis. Arthritis Res Ther. 2003;5(5):R253–R261. doi: 10.1186/ar789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lee YH, Bae SC. Intercellular adhesion molecule-1 polymorphisms, K469E and G261R and susceptibility to vasculitis and rheumatoid arthritis: a meta-analysis. Cell Mol Biol (Noisy-le-grand) 2016;62(12):84–90. doi: 10.14715/cmb/2016.62.12.15. [DOI] [PubMed] [Google Scholar]
  • 13.Kurreeman FA, Stahl EA, Okada Y, et al. Use of a multiethnic approach to identify rheumatoid- arthritis-susceptibility loci, 1p36 and 17q12. Am J Hum Genet. 2012;90(3):524–532. doi: 10.1016/j.ajhg.2012.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Sakao K, Takahashi KA, Arai Y, et al. Osteoblasts derived from osteophytes produce interleukin-6, interleukin-8, and matrix metalloproteinase-13 in osteoarthritis. J Bone Miner Metab. 2009;27(4):412–423. doi: 10.1007/s00774-009-0058-6. [DOI] [PubMed] [Google Scholar]
  • 15.Reynard LN, Loughlin J. Genetics and epigenetics of osteoarthritis. Maturitas. 2012;71(3):200–204. doi: 10.1016/j.maturitas.2011.12.001. [DOI] [PubMed] [Google Scholar]
  • 16.Taniguchi T, Ogasawara K, Takaoka A, et al. IRF family of transcription factors as regulators of host defense. Annu Rev Immunol. 2001;19:623–655. doi: 10.1146/annurev.immunol.19.1.623. [DOI] [PubMed] [Google Scholar]
  • 17.Ye L, Fan Z, Yu B, et al. Histone demethylases KDM4B and KDM6B promotes osteogenic differentiation of human MSCs. Cell Stem Cell. 2012;11(1):50–61. doi: 10.1016/j.stem.2012.04.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Zhang Y, Ma C, Liu X, et al. Epigenetic landscape in PPARγ2 in the enhancement of adipogenesis of mouse osteoporotic bone marrow stromal cell. Biochimica et Biophysica Acta (BBA) - Mol Basis Dis. 2015;1852(11):2504–2516. doi: 10.1016/j.bbadis.2015.08.020. [DOI] [PubMed] [Google Scholar]
  • 19.Baker EK, Taylor S, Gupte A, et al. Wnt inhibitory factor 1 (WIF1) is a marker of osteoblastic differentiation stage and is not silenced by DNA methylation in osteosarcoma. Bone. 2015;73:223–232. doi: 10.1016/j.bone.2014.12.063. [DOI] [PubMed] [Google Scholar]
  • 20.Hulth A, Lindberg L. TelhagH. Experimental osteoarthritis in rabbits. Preliminary report. ActaOrthop Scand. 1970;41(5):522–530. doi: 10.3109/17453677008991540. [DOI] [PubMed] [Google Scholar]
  • 21.Feng H, Conneely KN, Wu H. A Bayesian hierarchical model to detect differentially methylated loci from single nucleotide resolution sequencing data. Nucleic Acids Res. 2014;42(8):e69. doi: 10.1093/nar/gku154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Paul DS, Guilhamon P, Karpathakis A, et al. Assessment of RainDrop BS-seq as a method for large-scale, targeted bisulfite sequencing. Epigenetics. 2014;9(5):678–684. doi: 10.4161/epi.28041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kim HA, Blanco FJ. Cell death and apoptosis in osteoarthritic cartilage. Curr Drug Targets. 2007;8(2):333–345. doi: 10.2174/138945007779940025. [DOI] [PubMed] [Google Scholar]
  • 24.Araki S, Imai S, Ishigaki H, et al. Improved quality of cartilage repair by bone marrow mesenchymal stem cells for treatment of an osteochondral defect in a cynomolgus macaque model. ActaOrthop. 2015;86(1):119–126. doi: 10.3109/17453674.2014.958807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Friedman AD. C/EBPalpha in normal and malignant myelopoiesis. Int J Hematol. 2015;101(4):330–341. doi: 10.1007/s12185-015-1764-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zhao XY, Chen XY, Zhang ZJ, et al. Expression patterns of transcription factor PPARgamma and C/EBP family members during in vitro adipogenesis of human bone marrow mesenchymal stem cells. Cell Biol Int. 2015;39(4):457–465. doi: 10.1002/cbin.10415. [DOI] [PubMed] [Google Scholar]
  • 27.Sun L, Huang Y, Wei Q, et al. Cyclin E-CDK2 protein phosphorylates plant homeodomain finger protein 8 (PHF8) and regulates its function in the cell cycle. J Biol Chem. 2015;290(7):4075–4085. doi: 10.1074/jbc.M114.602532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Chauhan S, Diril MK, Lee JH, et al. Cdk2 catalytic activity is essential for meiotic cell division in vivo. Biochem J. 2016;473(18):2783–2798. doi: 10.1042/BCJ20160607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Oakes V, Wang W, Harrington B, et al. Cyclin a/Cdk2 regulates Cdh1 and claspin during late S/G2 phase of the cell cycle. Cell Cycle. 2014;13(20):3302–3311. doi: 10.4161/15384101.2014.949111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Wang H, Iakova P, Wilde M, et al. C/EBPalpha arrests cell proliferation through direct inhibition of Cdk2 and Cdk4. Mol Cell. 2001;8(4):817–828. doi: 10.1016/S1097-2765(01)00366-5. [DOI] [PubMed] [Google Scholar]
  • 31.Roset R, Gil-Gomez G. Measurement of changes in Cdk2 and cyclin o-associated kinase activity in apoptosis. Methods Mol Biol. 2009;559:161–172. doi: 10.1007/978-1-60327-017-5_12. [DOI] [PubMed] [Google Scholar]
  • 32.Golsteyn RM. Cdk1 and Cdk2 complexes (cyclin dependent kinases) in apoptosis: a role beyond the cell cycle. Cancer Lett. 2005;217(2):129–138. doi: 10.1016/j.canlet.2004.08.005. [DOI] [PubMed] [Google Scholar]
  • 33.Vakifahmetoglu H, Olsson M, Zhivotovsky B. Death through a tragedy: mitotic catastrophe. Cell Death Differ. 2008;15(7):1153–1162. doi: 10.1038/cdd.2008.47. [DOI] [PubMed] [Google Scholar]
  • 34.Hwang HS, Kim HA. Chondrocyte apoptosis in the pathogenesis of osteoarthritis. Int J Mol Sci. 2015;16(11):26035–26054. doi: 10.3390/ijms161125943. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ryu JH, Shin Y, Huh YH, et al. Hypoxia-inducible factor-2alpha regulates Fas-mediated chondrocyte apoptosis during osteoarthritic cartilage destruction. Cell Death Differ. 2012;19(3):440–450. doi: 10.1038/cdd.2011.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Musumeci G, Castrogiovanni P, Trovato FM, et al. Biomarkers of Chondrocyte apoptosis and Autophagy in osteoarthritis. Int J Mol Sci. 2015;16(9):20560–20575. doi: 10.3390/ijms160920560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Lu Q, Wu Z, Li D. Single cell analysis of H (2) O (2) mediated Fas mRNA expression and ca (2+) influx in LO (2) cells. Zhonghua Yi XueZaZhi. 2000;80(3):210–213. [PubMed] [Google Scholar]
  • 38.Falah M, Najafi M, Houshmand M, et al. Expression levels of the BAK1 and BCL2 genes highlight the role of apoptosis in age-related hearing impairment. ClinInterv Aging. 2016;11:1003–1008. doi: 10.2147/CIA.S109110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Lindqvist LM, Vaux DL. BCL2 and related prosurvival proteins require BAK1 and BAX to affect autophagy. Autophagy. 2014;10(8):1474–1475. doi: 10.4161/auto.29639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Karaliotas GI, Mavridis K, Scorilas A, et al. Quantitative analysis of the mRNA expression levels of BCL2 and BAX genes in human osteoarthritis and normal articular cartilage: an investigation into their differential expression. Mol Med Rep. 2015;12(3):4514–4521. doi: 10.3892/mmr.2015.3939. [DOI] [PubMed] [Google Scholar]
  • 41.Płuciennik E, Nowakowska M, Wujcicka WI, et al. Genetic alterations of WWOX in Wilms’ tumor are involved in its carcinogenesis. Oncol Rep. 2012;28(4):1417–1422. doi: 10.3892/or.2012.1940. [DOI] [PubMed] [Google Scholar]
  • 42.Tu Y, Xue H, Xia Z, et al. Effect of different concentrations of dexamethasone on apoptosis and expression of Fas/FasL in human osteoarthritis chondrocytes. ZhongguoXiu Fu Chong JianWaiKeZaZhi. 2012;26(5):536–541. [PubMed] [Google Scholar]
  • 43.Sezgin M, Barlas IO, Yildir S, et al. Apoptosis-related Fas and FasL gene polymorphisms’ associations with knee osteoarthritis. Rheumatol Int. 2013;33(8):2039–2043. doi: 10.1007/s00296-013-2688-1. [DOI] [PubMed] [Google Scholar]
  • 44.Diaz-Gallo LM, Garcia S, Ortego-Centeno N, et al. Association study of BAK1 gene polymorphisms in Spanish rheumatoid arthritis and systemic lupus erythematosus cohorts. Ann RheumDis. 2012;71(2):314–316. doi: 10.1136/annrheumdis-2011-200062. [DOI] [PubMed] [Google Scholar]
  • 45.Li XR, Chong AS, Wu J, et al. Transcriptional regulation of Fas gene expression by GA-binding protein and AP-1 in T cell antigen receptor.CD3 complex-stimulated T cells. J Biol Chem. 1999;274(49):35203–35210. doi: 10.1074/jbc.274.49.35203. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Summarized data have been presented in this manuscript. Raw data for this study are located and protected at Fudan University. Sharing of the raw data is not possible, because a secondary analysis is planned.


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