Abstract
Objective
Myostatin, a member of the transforming growth factor‐β family, contributes to joint deterioration in mice. Thus, we aimed to assess the correlation of myostatin concentrations with the presence and severity of knee osteoarthritis (OA).
Material and Methods
We determined serum and synovial fluid (SF) myostatin concentrations in a population of 184 patients with knee OA and 109 healthy controls.
Results
The knee OA group presented with higher serum myostatin concentrations than the controls. Knee OA patients with KL grade 4 showed higher serum and SF myostatin concentrations compared with those with KL grade 2 and 3. Knee OA patients with KL grade 3 had higher serum and SF myostatin concentrations compared with those with KL grade 2. Serum and SF myostatin concentrations were significantly correlated with KL grading.
Conclusion
Serum and SF myostatin concentrations were correlated with the presence and severity of knee OA.
Keywords: myostatin, osteoarthritis, severity
1. Introduction
Osteoarthritis (OA) is a common degenerative joint disease whose typical characteristics include articular cartilage degradation, subchondral bone damage, and synovitis.1 OA contributes to healthcare burden because of its adverse effect on ambulation and mobility.2, 3 Inflammation is considered to be a risk factor of developing OA.4 However, the underlying causes of OA remain unknown.
Myostatin is a myokine protein belonging to the transforming growth factor‐β (TGF‐β) superfamily. It is mainly expressed in skeletal muscles but is also found in cardiac muscles, blood, and adipose tissues.5 Myostatin negatively regulates skeletal muscle growth.6 Inactivation of the myostatin gene expression in mice accelerates muscle growth.7 Myostatin deficiency significantly reduces fat accumulation in mice.8 Recently, Dankbar et al.9 reported that myostatin deficiency or antibody‐mediated inhibition decreases bone destruction in an arthritis mouse model. Therefore, myostatin is likely implicated in the pathogenesis of OA.
This study aimed to examine the correlation of myostatin concentrations with the presence and severity of knee OA.
2. Materials and Methods
2.1. Patients
We enrolled a population of 184 patients with knee OA and 109 healthy subjects. Knee OA diagnosis was confirmed on the basis of the criteria of the American College of Rheumatology.10 The exclusion criteria were knee surgery history, osteochondritis dissecans, fracture in or adjacent to the knee, septic arthritis, osteonecrosis, and serious systemic diseases. Control subjects were recruited from healthy subjects who underwent medical check‐up in our hospital, and they were confirmed with normal knee radiographs using radiological examination. Subjects with systemic diseases (e.g., heart failure, renal failure, hematologic, cardiologic, and metabolic disorders), inflammatory disease, and arthritis history were excluded from the control group. This study was approved by the ethics committee of our hospital, and informed consent was obtained from all participants.
Disease severity was evaluated in terms of the Kellgren and Lawrence (KL) grading system.11 The patients with OA showed a radiographic knee OA of KL grade≥2 in at least one knee, whereas the control subjects manifested KL grades of 0.
2.2. Laboratory methods
SF was collected while the patients were taking hyaluronic acid treatment. Serum and SF myostatin concentrations were measured using a commercial enzyme‐linked immunosorbent assay kit from R&D Company [coefficient of variations (CVs) for intra assay: 1.8%‐5.4%; CVs for inter assay: 3.1%‐6%; sensitivity: 5.32 pg/mL, detection limit range: 31.3‐2000 pg/mL].
2.3. Statistical analysis
Sample size was calculated through power analysis using preliminary data obtained in our laboratory under the following assumptions: α=0.05 (two‐tailed) and power=90%. A minimum of 25 subjects in the case and control groups were required to detect the differences in serum myostatin concentrations. Data were statistically analyzed using the statistical package for social sciences (SPSS) software, version 16.0 for Windows. The data were displayed as a form of means±standard errors (quantitative data normally distributed) or median (interquartile range) (quantitative data not normally distributed). Data normality was analyzed using the Kolmogorov‐Smirnov test. Differences in the variables between the cases and control groups were determined via chi‐square tests, unpaired t test (quantitative data normally distributed), or Mann‐Whitney U‐test (quantitative data not normally distributed). Differences in myostatin concentrations between the knee OA groups were obtained via Kruskal‐Wallis test. The myostatin differences between different knee OA groups were compared through Dunn's post‐test after Kruskal‐Wallis test was conducted. The correlation of myostatin concentrations with KL grades was assessed through Spearman correlation analysis and multinomial logistic regression analysis. Statistical significance was accepted at two‐tailed P‐value less than .05.
3. Results
3.1. Clinical parameters between the two groups
No age, gender, and body mass index (BMI) differences were found between the case and control groups (Table 1).
Table 1.
The characteristics between patients with knee OA and healthy controls
Characteristics | Knee OA patients (n=184) | Healthy controls (n=109) | P‐value |
---|---|---|---|
Age (years) | 60.77±9.08 | 61.48±7.93 | .501 |
Gender (male/female) | 77/107 | 42/67 | .576 |
BMI (kg/m2) | 24.43±3.76 | 24.25±3.52 | .677 |
Serum myostatin (ng/mL) | 2.71 (2.12‐3.36) | 1.97 (1.55‐2.36) | <.001 |
SF myostatin (ng/mL) | 1.50 (1.15‐1.77) |
3.2. Serum myostatin concentrations in the case and control groups
The serum myostatin concentrations in the case group were higher than those in the control group (P<.001) (Table 1).
3.3. Myostatin concentrations in knee OA group
As shown in Figures 1 and 2, the serum and SF myostatin concentrations in the patients with knee OA of KL grade 4 were higher than those in the patients with knee OA of KL grade 2 and 3 The serum and SF myostatin concentrations in the patients with knee OA of KL grade 3 were higher than those in the patients with knee OA of KL grade 2.
Figure 1.
Serum myostatin concentrations in OA patients with different KL grades. a P<.05 vs. patients with grade 2 OA patients; b P<.05 vs. grade 3 OA patients
Figure 2.
SF myostatin concentrations in OA patients with different KL grades. a P<.05 vs. patients with grade 2 OA patients; b P<.05 vs. grade 3 OA patients
3.4. Correlation of myostatin concentrations with other variables
The correlation of myostatin concentrations with age, gender, and BMI were determined. The serum myostatin concentrations were negatively correlated with BMI in the control group and in the OA patient group (r=−.249, P=.009, and r=−.205, P=.005, respectively). However, the correlation between SF myostatin concentrations and BMI was not significant (r=−.095, P=.202).
3.5. Correlation of KL grades with other variables
Spearman correlation analysis revealed that the serum and SF myostatin concentrations were correlated with KL grades in OA patients (r=.600, P<.001 and r=.630, P<.001). After factors were adjusted for age, gender, and BMI, the serum and SF myostatin concentrations remained correlated with KL grades (r=.636, P<.001 and r=.639, P<.001). Multinomial logistic regression analysis indicated that serum and SF myostatin concentrations were significantly associated with KL grades (P<.001 and P<.001).
4. Discussion
Our study revealed that the serum myostatin concentrations in OA patients were higher than those in the control group. Serum and SF myostatin concentrations were significantly correlated with KL grading. This study is the first to report the association of serum and SF myostatin concentrations with the presence and severity of OA.
Although myostatin is expressed in the synovial fibroblasts and synovial tissues of OA patients, the differences in myostatin expression or concentrations between OA patients and healthy controls have not yet to be examined. Our study showed that the serum myostatin concentrations in OA patients were higher than those in the controls. This finding supports the possibility of using myostatin as a biomarker to assess the risk of OA. Serum and SF myostatin concentrations correlated with the radiographic severity of OA. Myostatin is possibly involved in the mechanism of OA progression. However, the exact mechanism has been elucidated through further study of basic research.
Chondrocyte degeneration and cartilage destruction are important processes in OA development and progression. Myostatin is a member of the TGF‐β family and correlated closely with bone turnover.12 The key role of myostatin in OA etiology has been extensively investigated. Myostatin expression is detected in synovial fibroblasts and synovial tissues from patients with rheumatoid arthritis and OA.9 Osteoclastogenesis is involved in OA mechanism.13 Myostatin‐deficient mice exhibit a markedly decreased receptor activator for the nuclear factor‐κB ligand (RANKL)‐induced osteoclast formation and the reduced number of osteoclast.9 No clinical signs of arthritis are found in myostatin‐deficient mice.9 Myostatin‐specific antibodies treatment led to fewer clinical signs and reduced bone erosion compared to the controls.9 Therefore, myostatin may induce OA development by promoting osteoclast formation and joint destruction.
Inflammation is involved in the pathological process of OA.14 Mild to moderate severity of synovial inflammation could be found in approximately 33% of patients with OA after synovial biopsies are obtained.15 OA synovial fibroblasts incubated with inflammatory cytokines, including tumor necrosis factor‐α (TNF‐α), interleukin‐1 (IL‐1), and IL‐17 induce the upregulation of myostatin expression.9 TNF‐α stimulation enhanced the myostatin expression via the NF‐κB pathway. By contrast, myostatin stimulates muscle cells releasing IL‐6.16 TNF‐α can activate myostatin through the NF‐κB pathway in myotubes,17 but inhibition of the NF‐κB pathway can inactivate myostatin.17 Moreover, silencing myostatin with myostatin antibody decreases TNF‐α and IL‐6 levels.18 Thus, myostatin likely interacts with inflammatory cytokines and contributes to the presence and progression of OA.
Several potential limitations should be considered in this study. First, this study applies a cross‐sectional approach. The causative relation found in this study should be confirmed through future longitudinal studies. Second, we did not examine SF myostatin concentrations of healthy controls because of ethical concerns. Last, We did not registered this clinical study.
In summary, serum and SF myostatin concentrations were correlated with the presence and severity of knee OA. However, the potential mechanism of myostatin in OA pathogenesis should be explained through further investigations.
Source of Funding
No funding.
Acknowledgment
Thanks very much for Medjaden Bioscience Limited Company to help us to revise the language of this manuscript.
References
- 1. Iagnocco A, Naredo E. Osteoarthritis: research update and clinical applications. Rheumatology (Oxford). 2012;51:vii2–vii5. [DOI] [PubMed] [Google Scholar]
- 2. Palazzo C, Nguyen C, Lefevre‐Colau MM, Rannou F, Poiraudeau S. Risk factors and burden of osteoarthritis. Ann Phys Rehabil Med. 2016;59:134–138. [DOI] [PubMed] [Google Scholar]
- 3. Alghadir A, Anwer S. Effect of retro and forward walking on quadriceps muscle strength, pain, function, and mobility in patients with knee osteoarthritis: a protocol for a randomized controlled trial. BMC Musculoskelet Disord. 2016;17:161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Bonnet CS, Walsh DA. Osteoarthritis, angiogenesis and inflammation. Rheumatology (Oxford). 2005;44:7–16. [DOI] [PubMed] [Google Scholar]
- 5. Li N, Yang Q, Walker RG, Thompson TB, Du M, Rodgers BD. Myostatin attenuation in vivo reduces adiposity, but activates adipogenesis. Endocrinology. 2016;157:282–291. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Rodgers BD, Garikipati DK. Clinical, agricultural, and evolutionary biology of myostatin: a comparative review. Endocr Rev. 2008;29:513–534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. McPherron AC, Lawler AM, Lee SJ. Regulation of skeletal muscle mass in mice by a new TGF‐beta superfamily member. Nature. 1997;387:83–90. [DOI] [PubMed] [Google Scholar]
- 8. McPherron AC, Lee SJ. Suppression of body fat accumulation in myostatin‐deficient mice. J Clin Invest. 2002;109:595–601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Dankbar B, Fennen M, Brunert D, et al. Myostatin is a direct regulator of osteoclast differentiation and its inhibition reduces inflammatory joint destruction in mice. Nat Med. 2015;21:1085–1090. [DOI] [PubMed] [Google Scholar]
- 10. Altman R, Asch E, Bloch D, et al. Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association. Arthritis Rheum. 1986;29:1039–1049. [DOI] [PubMed] [Google Scholar]
- 11. Kellgren JH, Lawrence JS. Radiological assessment of osteo‐arthrosis. Ann Rheum Dis. 1957;16:494–502. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Hamrick MW, Shi X, Zhang W, et al. Loss of myostatin (GDF8) function increases osteogenic differentiation of bone marrow‐derived mesenchymal stem cells but the osteogenic effect is ablated with unloading. Bone. 2007;40:1544–1553. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Tian B, Jiang T, Shao Z, et al. The prevention of titanium‐particle‐induced osteolysis by OA‐14 through the suppression of the p38 signaling pathway and inhibition of osteoclastogenesis. Biomaterials. 2014;35:8937–8950. [DOI] [PubMed] [Google Scholar]
- 14. Appelboom T, Emery P, Tant L, Dumarey N, Schoutens A. Evaluation of technetium‐99m‐ciprofloxacin (Infecton) for detecting sites of inflammation in arthritis. Rheumatology (Oxford). 2003;42:1179–1182. [DOI] [PubMed] [Google Scholar]
- 15. Baddour VT, Bradley JD. Clinical assessment and significance of inflammation in knee osteoarthritis. Curr Rheumatol Rep. 1999;1:59–63. [DOI] [PubMed] [Google Scholar]
- 16. Zhang L, Rajan V, Lin E, et al. Pharmacological inhibition of myostatin suppresses systemic inflammation and muscle atrophy in mice with chronic kidney disease. FASEB J. 2011;25:1653–1663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Wang DT, Yang YJ, Huang RH, Zhang ZH, Lin X. Myostatin activates the ubiquitin‐proteasome and autophagy‐lysosome systems contributing to muscle wasting in chronic kidney disease. Oxid Med Cell Longev. 2015;2015:684965. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Tang L, Yang X, Gao X, et al. Inhibiting myostatin signaling prevents femoral trabecular bone loss and microarchitecture deterioration in diet‐induced obese rats. Exp Biol Med (Maywood). 2016;241:308–316. [DOI] [PMC free article] [PubMed] [Google Scholar]