Journal of Orthopedic Research and Therapy

Volume: 2017; Issue: 04
11 Oct 2017

Genetic Basis of Osteonecrosis of the Femoral Head: An Updated Review

Review Article

Chantal Séguin1,4*, Tracy Wang1, Bouziane Azeddine1, Wayne Mah1, Edward J. Harvey2, David Rosenblatt3

1Vascular Biology Research lab, Research Institute (RI) McGill University Health Centre, C9 Montreal General Hospital, Canada,

2Department Surgery, Division Orthopaedic Surgery, McGill University Health Centre, B5 Montreal General Hospital, Canada
3Department of Human Genetics, McGill University, Montreal, Quebec, Canada
4Department of Medicine, Division of Hematology and Oncology, McGill University Health Centre, Canada

*Corresponding author: Chantal Séguin, McGill University Health Centre, Glen site, Cedars Cancer Centre, 1001 Décarie Blvd., room D02.7519, Montreal, Quebec, Canada. Tel: 5149341934; Fax: 5149348221; E-Mail: chantal.seguin2@mcgill.ca

Received Date: 28 June, 2017; Accepted Date: 29 July, 2017; Published Date:05 August, 2017

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Abstract

Introduction

References

Figures

Tables

Suggested Citation

Abstract

 

Osteonecrosis of The Femoral Head (ONFH) is caused by reduced blood flow to the trabecular bone near the surface, leading to the death of bone tissue and femoral head collapse. Patients usually report groin pain which tends to worsen as the disease progresses. At a later stage, patients often lose the ability to use their joint. There are approximately 20,000 new cases each year in the United States. Although its pathophysiology remains poorly understood, several risk factors have been identified such as glucocorticoid use, alcohol abuse, systemic lupus erythematosus and sickle cell disease. Not all patients exposed to one or more of these risk factors will develop ONFH, indicating the presence of an underlying genetic predisposition.

 

Although hereditary ONFH has been reported in only a few families, the involvement of genetic factors in the disease and its progression is gaining interest particularly through genetic association studies. This review presents a summary of Single Nucleotide Polymorphisms (SNPs) and other genetic mutation variations found in association with ONFH, including our recent identification of a novel mutation in the transient receptor potential vanilloid 4 (TRPV4) gene in association with inherited ONFH. The summary of these genetic findings identifies biological processes believed to be involved in the development of ONFH, which include circulation, steroid metabolism, immunity and the regulation of bone formation. Taken together, these associations may lead to new pathways of bone repair and remodelling while opening new avenues for therapeutic targets.

 

Keywords:Coagulation Defects; Hereditary ONFH; Immunity; Osteonecrosis of the Femoral Head; Polymorphisms; Steroids; TRPV4

Introduction

 

Non-hereditary Osteonecrosis of the Femoral Head (ONFH), also known as Avascular Necrosis (AVN), ischemic necrosis, or aseptic necrosis, is a debilitating disease with 20,000 new cases diagnosed each year in the United States [1]. Hereditary ONFH is rare and has been reported in only a few families. Both hereditary and non-hereditary ONFH meet the criteria of a rare disease, affecting less than 1 in 2000 (<6-9/10,000; ORPHA399158). ONFH is thought to arise from a temporary or permanent loss of blood flow to the femoral head, causing bone necrosis and eventually its collapse [2, 3]. This usually results in severe hip pain that is treated with conservative methods such as weight-bearing restriction, the use of bisphosphonates, statins [4] or femoral head decompression at early stage. Invasive surgical procedures such as nonvascularized or vascularized bone grafting of the affected area, or total hip replacement are more often used at advanced stages [5].

 

Classic clinical presentations are seen in late adolescence and young to middle-aged adults, however, the disease may occur in children between 4 and 12 years old and is then called Legg-Calvé-Perthes Disease (LCPD), often with early asymptomatic ischemic changes [6]. There is a wide spectrum of etiological risk factors in non-traumatic ONFH including alcohol consumption and chemotherapy, however the most common risk factor is the use of glucocorticoids [6]. While most cases of non-traumatic ONFH are secondary, several studies have shown involvement of genetic factors, with hereditary ONFH found in Asian and Caucasian families [7, 8]. Some studies also report a genetic predisposition that explains ethnic and individual differences in ONFH incidence [9]. Here, we present a summary of recent genetic studies and review articles on ONFH pathogenesis, including 17 case-control and 7 meta-analyses which identify genetic variations thought to play a pivotal role in ONFH development (Figure 1).

 

as well as a summary of a recent discovery of a novel mutation in TRPV4 gene, in a family affected by hereditary ONFH [10].

 

  • Genetic Methods Used For ONFH

 

Identifying genes causing or associated with complex diseases is challenging due to the involvement of several factors. Therefore, for complex diseases with multiple aetiologies such as osteonecrosis, we aim to determine if there is an underlying genetic susceptibility to the disease. Several techniques have been developed to perform genetic association studies, focusing predominantly on Single Nucleotide Polymorphisms (SNPs), the most common DNA sequence variations. These techniques, such as Genome Wide Association Studies, have led to major advances in this field. However, they require a larger sample size in order to obtain statistically significant results [11]. For orphan diseases, such as osteonecrosis, most researchers use the candidate gene approach which is the investigation of a genetic association between the disease and a list of genes that are pre-selected by analysing the phenotype and biological functions involved in the disease.

 

Recently, the discovery of the next-generation sequencing has led to the development of new innovative ways of genetic analysis. The facts that sequencing costs have drastically decrease and the ability to produce a large volume of data allowed this technique to become a powerful tool for genetic research. Exome sequencing is the most widely used technique for targeted sequencing. It allows to sequence all the expressed genes on the human genome which contains most of the known genetic variations responsible for many diseases.

 

  • Hereditary ONFH

 

COL2A1 was the first gene to be linked to hereditary ONFH. Chen et al. identified two four-generation Taiwanese families which showed an autosomal dominant mode of inheritance [7]. A genome wide scan for linkage analysis isolated candidate genes to a region on chromosome 12q13. Specifically, they proposed that COL2A1 and VDR could be putative causal genes. In the following year, an additional Taiwanese family with ONFH was reported with the same autosomal dominant heredity [12].

 

Genetic analyses were completed comparing all three families with hereditary ONFH, idiopathic cases of ONFH (sporadic cases) and wild type individuals. Candidate genes were selected following haplotype analysis of the families. Thirty-nine microsatellite repeat markers were analyzed in DNA from leukocytes and the causal gene was mapped to the same region that had been previously identified (12q13) [12]. Liu et al. identified COL2A1 mutations (NM_001844: c.3655G>A; p. Gly1170Ser and c.2149G A; p. Gly717Ser) that were not seen in sporadic cases and controls. None of the individuals with inherited ONFH had predisposing risk factors, suggesting that the COL2A1 mutations are causal for the disease [12]identified a missense mutation of COL2A1 gene (NM_001844.3: c. 4148 C>T; p. Thr1383Met) located on the conserved C-propeptide region which is required for collagen chain trimerization [13]. Inherited forms of LCPD show a similar association with COL2A1, with Miyamoto et al. identifying a Japanese family with five members affected with LCPD [14].

 

They identified the same mutation (p. Gly1170Ser) also found the same mutation in a five-generation Chinese family with 16 individuals affected with some degree of ONFH [15,16]. Although these findings are interesting from a clinical perspective, these mutations were not characterized functionally and therefore the exact mechanism and their clinical impact remain poorly understood. Recently, our group has identified a Canadian family of Greek origin where four of six siblings were diagnosed by x-ray and/or MR Imaging to have advanced bilateral osteonecrosis [10]. The affected siblings showed no signs of known ONFH risk factors. Genetic analysis by exome sequencing showed a NM_021625.4 c.2480_2483delCCCG frameshift deletion followed by a c.2486T>A substitution of TRPV4 (transient receptor potential vanilloid 4 cation channel, subfamily V) gene. These mutations result in amino acid changes p.829V>W and p.830V>N followed by a stop codon at position 831 resulting in premature truncation of a highly conserved region [10].

 

TRPV4 is a non-selective cation channel involved in a broad range of physiological processes such as pain, thermoregulation and calcium homeostasis. It is also known to regulate vascular tone and osteoclastic differentiation while also exhibiting mechanosensitive properties, proposed to play a role in the sensing of weight loading essential to bone development and mechanosensation in endothelial cells Considering that our functional studies showed impaired closure of the calcium channels, identifying specific TRPV4 pathways could have the potential to develop new targeted therapies in ONFH.

 

  • Polymorphisms in Genes Affecting Blood Circulation

 

The leading hypothesis for the development of ONFH is that vascular obstruction prevents blood flow to the femoral head, leading to the deterioration and collapse of the bone [17]. This hypothesis is supported by the association between sickle cell anemia and other hemoglobinopathies with ONFH. To help elucidate the pathogenesis and delineate the biological changes of the disease, several studies have focused on serological levels of factors participating in the coagulation pathway (extrinsic and intrinsic), including fibrinolysis, while others have searched for genetic variations in genes related to coagulation defects. Among genes involved in this process, factor V, prothrombin, and 5, 10-methylenetetrahydrofolate reductase (MTHFR) are of most interest, being known as thrombophilic risk factors. Some well-known variations in these genes have been associated with ONFH [9].

 

MTHFR gene encodes for an enzyme involved in the process of converting homocysteine to methionine. Several polymorphisms of the MTHFR gene affect its activity and leads to an elevated plasma homocysteine (hyperhomocysteinemia), a condition that has been associated with the development of vascular disease, including stroke, acute myocardial infarction, peripheral artery disease and venous thrombosis especially in homozygous SNP findings [18]. The most studied polymorphisms of this gene (rs1801133 also known as c.677C T) leads to reduced enzyme activity, with several studies exploring association of this SNP with ONFH, and showing inconsistent results. Shang et al performed a meta-analysis including data from eight studies for a total of 778 patients with ONFH and 1162 controls and found an association in non-Asian populations, but there was no clear evidence of this association across worldwide populations [19].

 

Another meta-analysis including all published studies (12 studies with 1181 patients and 1961 controls) found no overall association [20]. This difference is explained by differences in the design, inclusion criteria and characteristics of the patients (age, gender, etiology) enrolled in these studies.

 

Factor V is a coagulation factor that binds to activated platelets and is inactivated by activated protein C. This inactivation is prevented by a change in amino acid (p. Arg506Gln, c. 1691G>A (rs6025) that is associated with venous thrombosis and known as Factor V Leiden [21]. performed a meta-analysis of 7 studies with 481 patients and 867 controls and concluded that patients with the A allele have a 4-fold higher risk of ONFH when compared to carriers of the G allele [22]. failed to find this association in 68 patients and 100 controls in Poland, they found a statistically significant association with a genetic variation (rs1880669) in the tissue plasminogen activator (PLAT) gene [23]. tPA, the gene product of PLAT is a major component of the fibrinolytic system and the rs1880669 (TPA 25 I/D) polymorphism is an Insertion/Deletion of an Alu sequence on the intron 8. It affects the release of tPA after endothelial cell activation with the D allele being the slowest [24]. Gagala et al. showed higher frequency of the D allele in ONFH patients compared to controls [23].

 

Plasminogen activator inhibitor-1 (PAI-1) is a key regulator of the coagulation-fibrinolysis pathway, a process affected in ONFH. Several studies have shown an upregulation of the PAI-1 serum levels in ONFH patients compared to controls [25] which may be caused by a genetic difference. In fact, the PAI-1 4G/5G SNP (rs1799889) is associated with elevated PAI-1 plasma levels. 4G/4G carriers have higher PAI-1 plasma levels compared to 4G/5G which is higher than 5G/5G [26]. A meta-analysis of PAI-1 4G/5G polymorphisms (five studies with 419 cases of ONFH and 969 controls) showed that the 4G/4G genotype is a significant risk factor for predicting ONFH [27]. Tissue factor pathway inhibitor (TFPI) is an important regulator of the tissue-factor mediated blood coagulation pathway. 37339T>A, a novel SNP located in the 3’-UTR and 24999A>G (rs8176592) are related to both alcohol-induced and idiopathic ONFH in Korean individuals [28].

 

Blood flow may also be impeded by hyperlipidemia. PON-1 is a member of the paraoxonase gene family and is involved in lipid metabolism. The rs662 SNP affects PON-1 catalytic efficiency and has been shown to be associated with steroid-induced ONFH in Greek [29] and Han Chinese [30] patients. Sterol regulatory element-binding transcription factor 1 (SREBF1) is a transcription factor involved in cholesterol and fatty acid metabolism [31]. In a study of Korean ONFH patients and controls, rs4925115, a SNP located on intron 7 of SREBP1 gene, was linked to ONFH, particularly amongst male ONFH patients. When the research participants were classified into subgroups based on etiological risk factors, the alcohol-induced group was associated with this SNP. SREBP-2 is closely related to SREBF1 and is also involved in lipid metabolism, playing a role in lipid homeostasis by stimulating gene expression of cholesterol biosynthetic pathways.

 

The rs2267439 and rs2267443 SREBP-2 SNPs have an increased frequency in a study of 49 ONFH patients and 42 controls [32]. Another factor to consider in genes that impact blood flow is oxygen and oxidative dynamics. Nitric oxide is synthesized by endothelial nitric Oxide Synthase (eNOS) and has been implicated in many biological processes affected in ONFH including bone angiogenesis, thrombosis, and cellular turnover. An eNOS gene polymorphism that consists of a variable number of tandem repeats of 27bp in intron 4 can impact nitric oxide synthesis. Two alleles have been identified, a larger form with 5 repeats (4b) and a smaller form with 4 repeats (4a). Subjects with the smaller form (4a) have lower levels of nitric oxide the eNOS 4a/b polymorphism has been previously associated with ONFH [33,34] with a subsequent examination of 68 patients and 100 controls of Polish descent supporting this finding [23]. performed a meta-analysis of 5 studies (566 cases and 833 controls) and showed the same association between the eNOS 4a/b polymorphism and osteonecrosis [35].

 

Samples from 460 ONFH patients and 300 controls were analysed using SNP chip array a microarray chip used to detect SNP. Six candidate genes were found to be associated with ONFH: Transferrin (TF), Kinase insert domain receptor (KDR), Vascular endothelial growth factor C (VEGFC), Insulin-like growth factor binding protein 3 (IGFBP3), Neuropilin 1 (NRP1), and Angiotensin I am converting enzyme (ACE)[36]. Interestingly, some SNPs in KDR, VEGFC and NRP1 were linked to protection against ONFH (Table 1).

 

The protective effect of VEGF was reported by another group that investigated SNPs in the promoter and 5’ UTR regions of the gene [40]. Liu et al. performed a meta-analysis of 3 studies and confirmed that VEGF -634G/C SNP was significantly associated with increased risk for ONFH [49].From a clinical and vascular bed perspective, osteonecrosis is a microvascular disease and thrombophilic markers involving the fibrinolytic pathway are probably the most relevant. Clinically, markers that usually involve macrovessels (thrombosis of lower extremities and pulmonary bed) such as Factor V Leiden and Prothrombin 20210A are probably less important in terms of risk factors for microvascular disease such as ONFH. Conversely, VEGF is more likely to have a role due to its function in microvascular disease, regeneration of blood vessels and function in bone remodelling. VEGF remains a promising target in the clinical setting with some in vitro and in vivo studies having looked at the expression of VEGF in glucocorticoid-induced ONFH [50, 51].

 

  • Steroid Metabolism and ONFH: A Spotlight on ABCB1

 

Glucocorticoids are a major risk factor in the development of ONFH and are often administered at high dose for treatment of diverse disorders which may lead to the development of ONFH. Variation in the susceptibility of patients receiving high doses of glucocorticoids to ONFH strongly suggests a genetic variation that potentially involves the presence of SNPs. [52, 53]. Several SNPs in adenosine triphosphate-binding cassette B1 (ABCB1), also known as MDR1, have been linked to ONFH. ABCB1 encodes the transport protein P-glycoprotein (P-gp) that plays an important role in absorption and distribution of a broad range of therapeutic compounds [54]. Higher P-gp activity was shown to be protective from ONFH development [55]. There are over 50 known SNPs in ABCB1 which may account for the variation in individual sensitivity to steroids [56]. The two most studied SNPs of this gene, rs1045642 and rs2032582, impact its activity. Studies investigating the association of these two SNPs with ONFH gave conflicting results prompting Zhou et al. to perform a meta-analysis of 7 studies and concluded that these SNPs are associated with low risk of glucocorticoid-induced ONFH [57]. Zhang et al., showed the same results for the rs1045642 SNP in a meta-analysis of 5 studies [58].

 

Lastly, an analysis of combinations of SNPs between genes involved in steroid metabolism show that ABCB1 and CBP, which encodes an important transcriptional co-regulator of glucocorticoid receptors, may interact with each other. Thirty-four patients diagnosed with glucocorticoid-induced ONFH and 123 controls (who were exposed to glucocorticoids but did not develop ONFH) were screened for SNPs in ABCB1 (C3435T), apoliprotein B (ApoB; c.7623C T), and cAMP-response element binding protein (CBP; rs3751845). A synergistic index >1.00 (1.99) was observed between ABCB1 and CBP, and the odds ratio of the presence of both SNPs in ONFH was very high (22.91). This suggests that both genes are involved in the pathology of ONFH through steroid metabolism [47]. These findings are significant because screening for the combination of SNPs in ABCB1 and CBP in patients undergoing high dose glucocorticoids could provide the identification of susceptible individuals at higher risk of developing ONFH. Susceptible individuals undergoing glucocorticoid treatment would then require close monitoring of joint symptoms and frequent radiological evaluations of their hip joints.

 

  • Immunity and ONFH

 

Several genes related to immunity have been associated with ONFH. Interleukin (IL)-1 is a proinflammatory cytokine that stimulates the expression of genes related to inflammation and immunity the rs1800587 SNP of IL-1 has been associated with increased risk of ONFH likely because of the stimulating role IL-1 plays in bone resorption [59]. In this study of 112 ONFH affected individuals and 438 healthy controls, the author also found an association of ONFH with IL-10, which can inhibit the synthesis of other pro-inflammatory cytokines [59]. The specific SNPs with the haplotype (rs1800896 G, rs1800871C and rs1800872C) are listed in (Table 1). IL23 and IL-33 are two other interleukin genes shown to be predictive for increased risk ofONFH. The proinflammatory cytokine IL23 regulates the activity of an immune response by promoting inflammation through the IL23 receptor (IL23R). The two cytokines are primarily expressed in cells that are closely related to the immune system such as T cells, macrophages, and dendritic cells [60, 61]. The rs4655686, rs1569922 and rs7539625 SNPs on IL23R gene were found to be associated with an increased risk of ONFH in a Korean study that involved 443 ONFH patients and 272 controls [57]. However, Wang et al., showed another SNP on this gene (rs6693831) to be protective for ONFH [62]. Interleukin 33 (IL-33) is also implicated in immune responses in a similar fashion to IL23R, inducing helper T cells, mast cells, eosinophils, and basophils to produce type 2 cytokines. IL-33 is also known to be released from necrotic cells and is constitutively expressed in osteoblasts. IL-33 serum levels were significantly higher in two studies with a total of 165 ONFH patients compared to controls, with no significant differences seen across glucocorticoid-induced, alcohol-induced, or idiopathic cases [63, 64]. Zheng et al., proposed that instead of using MRI scans that are expensive and have limited availability in some countries, measuring IL-33 plasma levels could be a cost-effective and efficient method for diagnosing the early stages of ONFH [63]. While this study did not investigate specific genetic anomalies, i.e. SNPs or mutations, these findings emphasize the substantial clinical applicability of genetic research that aims to investigate the biological contributions of candidate genes to ONFH. However, before considering the use of IL-33 plasma levels as a potential biomarker of early ONFH, further clinical studies are needed to support a positive correlation of increased IL-33 plasma levels with ONFH development on MRI scans over time.

 

Tumor necrosis factor (TNF)-α is a potent inflammatory cytokine released by macrophages to regulate an immune response by promoting the expression of other cytokine molecules [59]. As such, TNF-α is suggested to act upon osteoblasts or bone marrow stromal cells to release cytokines that are associated with osteoclast proliferation and maturation [65]. The GA genotype of the rs361525 SNP site is associated with an increase in TNF-α expression, altering the osteoblast-osteoclast compositional balance [59]. This polymorphism is associated with an increased risk for ONFH [59, 66]. As well, in a study investigating genetic factors that contribute to the occurrence and progression of SARS-CoV infection, the rs1799964 (c.1031CT CC) and rs1800630 (c.863A C) genotypes in TNF-α were found to be associated with ONFH in discharged SARS patients [67].

 

  • Genes Involved in the Regulation of Bone Formation

 

Although the exact pathogenesis of ONFH is unknown, the genes mentioned to this point support that ONFH results from disrupted blood flow to the femoral head. Impeded circulation would lead to a failure to provide nutrients and immune cells necessary for the maintenance of the bone tissue, leading to its eventual collapse. However, a hypothesis for ONFH relating to the bone physiology of the hip itself is also a possible explanation as compromised bone physiology at the hip, possibly exacerbated by the weight bearing nature of the joint, could lead to a similar outcome. Therefore, genes involved in bone formation and bone structure are important to consider in the onset and progression of ONFH. This section summarizes the genes that influence processes regulating osteoblasts or osteoclasts. Bone necrosis is a frequent manifestation in sickle cell disease; a case study of Indian patients with sickle cell anemia revealed a linkage in the rs7170178 SNP site of the annexin A2 (ANXA2) gene [41] Genes in the annexin family play a role in regulating cellular growth, with ANXA2 encoding an autocrine factor that heightens osteoclast formation and bone resorption. In the study, patients and control subjects were screened for five SNPs of ANXA2, of which only the rs7170718 was seen amongst the study population. The rs7170718 A/G and A/A genotypes were statistically more frequent in the patient groups indicating that detection of this SNP could be a screening tool for sickle cell patients [41]. Another study of sickle cell patients revealed a significant association of the rs3812163 SNP in bone morphogenetic protein 6 (BMP6) with ONFH [68]. Members of the BMP family induce endochondral bone formation when implanted in ectopic sites. Insulin-like growth factors (IGFs) are the most abundant growth factors stored in bones and produced by osteoblasts [69]. IGFBP-3 is a member of the IGF binding protein family and helps regulate growth and metabolism, especially bone cell metabolism [32]. The TT and TC genotypes of

 

IGFBP-3 rs2453839 were found to be more frequent in ONFH patients than in the control group [32].SNPs associated with a protective effect against ONFH have also been identified at the bone level. Transforming growth factor (TGF)-β regulates the proliferation and differentiation of various cells and functions in cell growth, differentiation, apoptosis, cell migration, immune cell function, and extracellular matrix production [59]. A higher frequency of the homozygous C allele at the 25th codon (rs1800471) has been associated with a decreased level of TGF-β and linked to a protective effect [59]. The authors hypothesize that this results in the induction of BMPs, promoting bone regeneration. These findings support the hypothesis that deteriorated bone structure plays a major role in the disease and that SNPs in genes related to bone regulation provide valuable insight into the cellular mechanisms that lead to ONFH.

 

Karol et al. performed a genome-wide association study of 2285 patients with acute lymphoblastic leukemia treated with high doses of glucocorticoids [42]. 250 of these patients developed ONFH, identifying a SNP near the Glutamate Receptor, Ionotropic, N-Methyl-D-Aspartate 3A (GRIN3A) gene (rs10989692) in association with glucocorticoid-induced ONFH. Glutamate signaling has been shown to regulate bone formation induced by mechanical loading which induces glutamate release from osteocytes. The released glutamate induces osteoblast receptor through activation of calcium channels [42, 70], which could implicate TRPV4 in this process, and thus provide a novel additional insight into the study of glucocorticoid-induced ONFH.

 

  1. Conclusion

 

ONFH is a multifactorial disease representing a complex interplay of genetic anomalies and environmental factors. Knowledge of genetic variations thought to be involved in the disease could be useful in determining individuals considered at higher risk to develop ONFH with the ultimate goal of preventing the multiple hit effect. COL2A1 mutations remain one of the strongest association with hereditary ONFH while ABCB1 and GRIN3A (glutamate pathway) are gaining importance in glucocorticoid-induced ONFH. Since SNPs are identified within specific pathways, they could account for differences in disease susceptibility and responses to drug therapies, therefore screening an individual at risk for ONFH for the presence of genetic risk factors may be beneficial in evaluating treatment options. As our society is moving towards a more preventive and personalized medicine, genetic studies will likely become of greater value and ONFH is a superb example of the potential applicability of translational research from basic science to patient care.

 

  1. List of Abbreviations

 

ABCB1: adenosine triphosphate-binding cassette B1; ACE: Angiotensin I converting enzyme; ANXA2: annexin A2; ApoB: apoliprotein B; AVN: avascular necrosis; BMP: Bone morphogenetic protein; CAT: Catalase; CBP: CREB-binding protein; COL2A1: Collagen 2 aplha 1; CTDP1: C-terminal domain of RNA polymerase II subunit A, phosphatase of subunit 1; CYP27C1: cytochrome P450, family 27, subfamily C, polypeptide 1; eNOS: endothelial nitric oxide synthase; GRIN3A: Glutamate Receptor, Ionotropic, N-Methyl-D-Aspartate 3A; IGF: Insulin-like growth factors; IGFBP3: Insulin-like growth factor binding protein 3; IGFBP-3: Insulin-like growth factors binding protein; IL: Interleukin; KDR: Kinase insert domain receptor; LCPD: Legg-Calvé-Perthes disease; MDR1: Multidrug resistance 1; MRI: Magnetic resonance imaging; MTHFR: 5, 10-methylenetetrahydrofolate reductase; NRP1: Neuropilin 1; ONFH: Osteonecrosis of the femoral head; OPG: Osteoprotegerin; PAI-1: Plasminogen activator inhibitor-1; P-gp: P-glycoprotein; PLAT or TPA: tissue plasminogen activator; PON-1 . paraoxonase 1; RANKL: receptor activator of nuclear factor kappa-B ligand; SNP: Single nucleotide polymorphism; SREBF1: Sterol regulatory element-binding transcription factor 1; SREBF2: Sterol regulatory element-binding transcription factor 2; TF: Transferrin; TFPI: Tissue factor pathway inhibitor; TGF-β: Transforming growth factor; TNF-α: Tumor necrosis factor; TRPV4: Transient receptor potential vanilloid 4; VDR: vitamin D receptor, VEGFC: Vascular endothelial growth factor C.

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Figures

 

 

Figure 1: Schematic diagram showing on the right the common pathway leading to ONFH development. On the middle are listed the systems affected on each step and on the left genes playing a role on these systems and where polymorphisms were identified.

Tables

 

Gene SNP Risk Association Patient population Presence of Other Risk Factors Reference
Hereditary ONFH
COL2A1 3655G>A Four-generation Taiwanese families with inherited ONFH Patients described in case reports None [12]
[13]
[37]
[14]
2149G>A
4148 C>T
c.2014G>T
c.638G>A
TRPV4 c.2480_2483delCCCG Family of Greek origin None [10]
Coagulation Defects
PON-1 rs662 + (p=0.022 in overdominant model) Chinese Han 94 patients
(40M, 54F), 106 controls
Glucocorticoids (64M,
42F GC users without
ONFH)
[30]
Factor V
Leiden
rs6025 Korean patients 71 patients (53M, 18F),
200 controls (128M, 72F)        Polish patients 68 patients (58M, 12F),
100 controls
Alcohol (n=51) diopathic (n=18), Glucocorticoids (n=1) Dysbaric (n=1)   Idiopathic (n=45) Glucocorticoids (n=11)
Chemotherapy (n=7)
Alcohol (n=4) Renal transplantation (n=1)
[38]                                                                                              [23]
Prothrombin rs1799963
MTHFR rs1801133 + Twofold increase (95% CI, 1.05-3.81)
rs1801131
TFPI -50984A>G (T-287C) Korean patients 474 patients
(346M, 128F), 349 controls
(299M, 50F) Polish patients
68 patients (58M, 12F), 100 controls
Idiopathic (n=140)
Glucocorticoids (n=129)
Alcohol (n=205)
[28]
+24999A>G (Int7 –
33T>C)
+37339T>A
Intron 4 genotype
(4a/a, 4a/b, 4b/b)
+ Higher frequency of 4a allele and 4a/b genotype in patients
eNOSa -786 T>C rs2070744 + (p=0.026) Polish patients 68 patients
(58M, 12F), 100 controls
Idiopathic (n=45)
Glucocorticoids (n=11)
Chemotherapy (n=7)
Alcohol (n=4)
Renal transplantation
(n=1)
[39]
PLAT TPA25 I/D rs1880669 + (p=0.0049- 0.0448, OR E291.27-1.69) Korean population 460 patients (377M, 83F),
300 controls (210M, 90F)
Idiopathic (n=45)
Glucocorticoids (n=11)
Chemotherapy (n=7)
Alcohol (n=4)
Renal transplantation
(n=1)
TF rs2692695 + (p=0.0049- 0.0448, OR 1.27-1.69)
+ (p=0.0042- 0.0107, OR1.33-1.67)
Korean population 460 patients (377M, 83F), 300 controls (210M, 90F) orean population 423 patients (342M, 81F),
348 controls (298M, 50F)
Alcohol induced (n=215)
Idiopathic (n=186)
Glucocorticoids (n=59)
[36]
rs2718806
rs1485766
VEGFC rs3775203 + D31(p=0.0042- 0.0107, OR1.33-1.67) P (p=0.0087 or 0.55)
rs2333496
rs2453839 + (p=0.0061, OR F307.74)
IGFBP3 rs4309 + (p=0.0044- 0.00367, OR > G291.34-1.63)
ACE rs4344 + (p=0.0044- 0.00367, OR > 1.34-1.63) P (p=0.0357, OR=0.67)
rs4461142
rs6837735
KDR 1870377 Protective (p=0.0488, OR 0.67)
rs12573218 Protective (p=0.0019- 0.0423, OR 0.55-0.75)
NRP1 rs12358370 Protective (p=0.0019- 0.0423, OR 0.55-0.75)
rs2269091
rs12601420
SREBF1 rs9925115 + (AOR=6.88, 95% CI; 3.74- 12.67) Korean population
423 patients (342M, 81F),
348 controls (298M, 50F)
18 patients (14M, 4F)
Glucocorticoids (n=77)
Alcohol (n=77)
Idiopathic (n=140)
[31]
rs12601420
VEGF rs1570360 + Lower frequency in steroid (7.4% vs. 18.1%; OR=0.363) 160 patients (108M, 52F),
160 controls Indian patients 150 patients
(90M, 60F), 154 controls
Idiopathic (n=86)
Glucocorticoids (n=74)
[40]
rs2010963
rs2010963 Lower frequency in steroid (74.3% vs. 84.4$, OR=0.492)
rs7170178 + (p<0.001)
Bone structure
ANXA2 rs73435133 Indian patients 150 patients (90M, 60F),
154 controls 443 patients
(366M, 77F), 273 controls
(206M, 67F)
All patients have sickle
cell; 3 patient groups
Gr. 1 (n=60): sickle
homozygous Gr. 2 (n=75): β- thalassemia
Gr. 3 (n=15) sickle cell D
[41]
rs7348020
rs72746635
rs73418025
rs4655686 +
GRIN3A rs10989692 + P=3.59×10-7 1275 caucasian 139 black 601 hispanic 48 asian 222 others All patient have Acute Lymphoblastic Leukemia
and received high doses of
GC: 250 have ONFH and
2035 controls
[42]
MMP3 rs650108 + Chinese male
patients:300 Alcohol induced ONFH 308 healthy control
associated with decreased
risk for ONFH
[43]
MMP8 rs2012390 +
rs11225394 + Associated with increased
risk for ONFH
MMP9 rs2274755 + P=0.025 Chinese patients: 285 GC induced ONFH 507 healthy
control
SNP associated with
decreased risk for ONFH
[44]
OPG rs1032128 + Chinese patients:
335 Alcohol induced ONFH
335 healthy control
[45]
rs11573828 +
RANKL rs2200287
Immunity
IL23R rs1569922 + 443 patients (366M, 77F), 273 controls (206M, 67F) Glucocorticoids (n=56)
Alcohol (n=206) Idiopathic (n=181)
[46]
rs7539625 +
Steroid Metabolism
ABCB1 rs1045642 (C3435T) + Meta-analysis of a total of 336 patients and 712 controls All glucocorticoids
rs2032582 (C7623T) +
ApoB rs3751845 + Japanese population 34 patients, 123 controls Renal transplantation
(n=34)
[47]
CBP rs3751845
Miscellaneous/ Other
CAT rs7943316 Protective 443 patients (366M, 77F), 273 controls (206M, 67F)
rs1049982 Protective 443 patients (366M, 77F), 273 controls (206M, 67F) Glucocorticoids (n=56)
Alcohol (n=206)
Idiopathic (n=181)
[48]
rs525938 Protective
rs3758730 +
rs769217 +
rs2284365 +

 

Table 1: Summary of genetic variations in genes linked to osteonecrosis pathogenesis. This table shows a list of genes where polymorphisms have been identified along with name of the SNP (position or rs number if known), if there is an association with the disease or not, type of population studied, presence or not or other risk factors and reference number.

Suggested Citation

 

Citation: Wang T, Azeddine B, Mah W, Harvey EJ, Rosenblatt D, Séguin C (2017) Genetic Basis of Osteonecrosis of the Femoral Head: An Updated Review. J Orthop Ther. JORT-142.

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