Open Access

An updated meta-analysis of the asporin gene D-repeat in knee osteoarthritis: effects of gender and ethnicity

Contributed equally
Journal of Orthopaedic Surgery and Research201712:148

https://doi.org/10.1186/s13018-017-0647-3

Received: 25 April 2017

Accepted: 23 September 2017

Published: 11 October 2017

Abstract

Background

Knee osteoarthritis (KOA) is the most prevalent form of knee joint disease and characterized by the progressive degeneration of articular cartilage. Although pathology of KOA remains unknown, genetic factors are considered to be the major cause. Asporin is a group of biologically active components of extracellular matrix (ECM) in articular cartilage, and asporin gene (ASPN) D-repeat polymorphism was reported to be associated with KOA. Thus, our meta-analysis is aimed at investigation of the association between asporin D-repeat polymorphism and susceptibility of KOA.

Methods

We gathered data from MEDLINE, Embase, OVID, and ScienceDirect to search relevant published epidemiological studies through April 2017. Compared with previous studies, our meta-analysis is the first study to investigate the association of ASPN D15, D16, and D17 alleles and KOA susceptibility by ethnic- and sex-stratified subgroup analysis.

Results

We found no significant association between D15 allele and susceptibility to KOA (OR = 1.05, 95% CI 0.95–1.17) in overall population. The same results were observed in the analysis of D16 (OR = 1.01, 95% CI 0.80–1.28) and D17 alleles (OR = 1.28, 95% CI 0.91–1.80). The ethnic- and sex-subgroup analyses did not alter the ORs. However, significant association was detected in the sensitivity analysis of D17 in overall population (OR = 1.05, 95% CI 0.95–1.17) and Asian population (OR = 1.78, 95% CI 1.02–3.11, P < 0.05).

Conclusion

Our results indicated that D-repeat polymorphism of ASPN may not play a major role in susceptibility of KOA in ethnic- and sex-specific analysis. Because of the limitations of the present meta-analysis, firm conclusions could not be drawn based on the current evidence, and further studies are required to detect genuine role of ASPN.

Keywords

Aspartic acid Osteoarthritis Knee Gender Ethnicity Meta-analysis Polymorphism

Background

Osteoarthritis (OA), which is characterized by the progressive degeneration of articular cartilage in joints, is one of the most common joint diseases that mainly affects the knees [1, 2]. Joint stiffness and pain appear to be the first symptoms, and joint swelling followed as the result of effusion and synovitis [3]. The knee osteoarthritis (KOA) has been identified of all ages and considered as the most common cause of disability after middle age [4].

However, current therapeutic methods only slow progression of KOA rather than prevent it [5]. The underlying mechanisms of KOA still remain unknown. Epidemiological studies had proved several risk factors associated with KOA, such as age, sex, obesity, kneeling, meniscal injuries, and mechanical forces [4]. Moreover, some previous studies uncovered several genetic linkage and candidate genes correlated with susceptibility to KOA [6, 7]. Taken together, KOA is considered as a polygenic disease controlled by both genetic and environmental factors.

One conventional viewpoint is that KOA is produced by an imbalance between synthesis and degradation of the extracellular matrix (ECM) controlled by chondrocytes [8]. Asporin, which consists of 380 amino acids, belongs to small leucin-rich proteoglycans (SLRPs), a group of biologically active components of ECM in many tissues [9]. Compared with normal cartilage, the expression of asporin is increased in KOA cartilage. It directly binds to transforming growth factor-β (TGF-β) and inhibits tumor necrosis factor (TNF)-β-mediated expression of cartilage genes [10]. The asporin gene (ASPN), which locates in human chromosome 9q22-9q21.3, contains a triplet repeat coding for a polymorphic stretch of aspartic acid residues (D-repeat) in the N-terminal region of the protein [11]. The number of D-repeats varies from 9 (D9) to 20 (D20), and different number of D-repeats may play a different role in KOA onset and development [9, 12]. A positive association between the D14 allele and KOA susceptibility was first reported by Kizawa et al. in a cohort and a case-control study in Japanese population; they also found that D14 allele was upregulated while D13 allele was downregulated in KOA patients [13]. However, relevant meta-analysis yielded inconsistent results. Nakamura et al. reported a positive relation between ASPN D14 allele and KOA susceptibility in Asian population, and results have ethnic differences [14]. But recently, two meta-analyses both demonstrated that ASPN D13 and D14 alleles were not associated with the occurrence of KOA in Asian and European population [15, 16].

There may be two reasons for the abovementioned different results. First, there was a gender difference in the occurrence and pathology of KOA. Women usually have a higher incidence of KOA, and postmenopausal women tend to suffer more severe KOA [17]. Anterior cruciate ligament (ACL) injuries are one of the major causes of KOA in athletes and are more likely to occur in female athletes than in men [1820]. Besides, it has been reported that females have greater pain intensity, functional limitations, and inflammatory reaction [21, 22]. Second, the incidence and symptoms of KOA have racial differences. Compared with Europeans, the prevalence and severity of KOA are higher in African–Americans [23, 24]. Moreover, Chinese women were reported to suffer more severe radiographic KOA than Caucasian women [25]. In this context, it is reasonable to hypothesize that the association between ASPN and KOA have gender and ethnic differences.

Here, we performed a meta-analysis of recent studies to investigate the association between ASPN D15, D16, and D17 alleles and susceptibility to KOA.

Methods

Search strategy and select criteria

We gathered data from MEDLINE, Embase, OVID, and ScienceDirect to search published epidemiological studies through April 2017 that were designed to explore the association between ASPN D-repeat polymorphism and KOA susceptibility. Combinations of keywords used in the search were (“ASPN” or “asporin”), (“polymorphism” or “polymorphisms”), and (“osteoarthritis” or “OA”). No restrictions including languages were imposed on our search.

To be consistent with other previous meta-analysis protocols, we included observational studies that recruited both KOA patients and healthy controls. The diagnostic criteria of KOA should be based on clinical symptoms, radiographic evidence, or joint replacement. Eligible studies should assess the association between ASPN D-repeat polymorphism and KOA susceptibility and had enough genetic frequency to extract. Interim analyses, overlapping study populations, and comparisons of laboratory methods were excluded. Potential studies for the eligibility criteria were reviewed by two independent readers (Liu and Yuan), with a third reviewer (Peng) to settle any discrepancies.

Date extraction

For all eligible published studies, data were independently extracted from full text with the use of a standard data extraction form by two authors (Liu and Yuan). The standard data extraction form contained information of title, authors, year of publication, study design, sample size, gender, ethnicity, allele count, and allele frequency in KOA patients and healthy controls.

Statistical analysis

We used the software Review Manager 5.3 (The Nordic Cochrane Center, Copenhagen, Denmark) and STATA 14.0 (Statacorp, College Station, TX, USA) for all the calculations of statistical analysis. The D15, D16, and D17 alleles vs others alleles combined were evaluated respectively because of no specific genotype distribution reported in the included original articles. Thus, we performed meta-analyses of the ASPN D15, D16, and D17 alleles and KOA susceptibility to investigate their association respectively by calculating odds ratios (ORs) and 95% confidence intervals (CIs).

Q-statistic was used to assess between-study heterogeneity, and P < 0.1 was considered statistically significant. The recently developed measure I 2 was also applied to test heterogeneity; values of I 2 = 25, 50, and 75% were considered low, moderate, and high, respectively [26].

Data are shown as ORs with a 95% CI, and statistical significance was defined as P < 0.05 (two-tailed). When heterogeneity was low, the ORs were obtained by fixed effects models [27, 28]. Otherwise, random effects models were used to estimate the ORs [29]. The fixed effects model assumes that genetic factors have similar effects on KOA susceptibility across all included studies and that observed variations among studies result from chance alone [30]. The random effects model assumes that different studies exhibit substantial diversity and assesses both within-study sampling error and between-study variance [29]. A sensitivity analysis was carried out to determine the effect of sample size by omitting one or more studies and assessing the change in the results of the meta-analysis. To test for publication bias, we performed Egger’s linear regression analysis and Begg’s test using the software package STATA 14.0 (Statacorp, College Station, TX, USA) [31].

Results

Search results and demographic characteristics

The preliminarily literature search yielded 257 articles fulfilling the search criteria of which 51 described case–control studies. Then, we excluded 13 studies for not KOA articles, 23 studies for not ASPN articles, and 5 studies for unusable data. A total of 10 studies fulfilled all inclusion and none of the exclusion criteria (Fig. 1). Noticeably, one of the included articles contained a case–control analysis and a cohort analysis; thus, they were investigated respectively. A total of 11 separate comparisons, with a total of 2745 KOA patients and 3621 controls, which involved 5 Caucasian, 4 Asian, and 2 Latin American populations, were included in this review. Additionally, Of the 11 separate comparisons, 5 sex-stratified comparisons were composed of 1528 females and 1186 males. The recruit criterion of KOA patients was according to symptoms or radiographic evidence in 7 articles and joint replacement in the rest of articles. Characteristics of included articles in the meta-analysis are presented in Table 1.
Fig. 1

Flow chart of the literature search

Table 1

Features of the included articles

Study

Ethnicity

Country

Study design

Gender (female/male)

Participants (number)

    

Case

Control

Case

Control

Jiang et al. [37]

Asian

China

Case control

NA

NA

218

454

Kizawa et al. [13]

Asian

Japan

Case control

NA

NA

393

374

Kizawa et al. [13]

Asian

Japan

Cohort

NA

NA

137

234

Song et al. [16]

Asian

Korea

Case control

152/38

154/222

190

376

Atif et al. [36]

Caucasian

USA

Case control

NA

NA

775

511

Jazayeri et al. [35]

Caucasian

Iran

Case control

72/28

72/28

100

100

Kaliakatsos et al. [34]

Caucasian

Greece

Case control

NA

NA

155

190

Mustafa et al. [32]

Caucasian

UK

Case control

158/120

392/356

278

748

Rodriguez-Lopez et al. [33]

Caucasian

Spain

Case control

153/35

115/179

188

294

Arellano et al. [21]

Latin American

Mexico

Case control

130/88

130/92

218

222

González-Huerta et al. [38]

Latin American

Mexico

Case control

NA

NA

93

118

Total

   

665/309

863/877

2745

3621

NA not available

Results of meta-analysis

Table 2 showed the summary of association between D-repeat polymorphism and susceptibility to KOA. The detailed result is that the pooled OR for the D15 allele vs other alleles combined and its 95% CI included 1 (OR = 1.05, 95% CI 0.95–1.17) (Fig. 2), demonstrating that D15 allele had no significant relationship with susceptibility to KOA in the overall populations included in this review. The results of the combined meta-analysis showed that the D16 allele is not associated with the risk of KOA (OR = 1.01, 95% CI 0.80–1.28) (Fig. 3). The same results were also observed in the analysis of D17 allele (OR = 1.28, 95% CI 0.91–1.80) (Fig. 4), and no significant association was detected between D17 allele and occurrence of KOA.
Table 2

Summary ORs, 95% CIs, and heterogeneity of the D-repeat polymorphism and the susceptibility to KOA

Polymorphism

Overall or subgroup (population or gender)

No. of studies

Test of association

Test of heterogeneity

OR

95% CI

P value

Model

P value

I 2 (%)

D15 versus Others

Overall

11

1.05

0.95–1.17

0.33

Fixed

0.37

8

Asian

4

0.93

0.69–1.27

0.66

Fixed

0.93

0

Caucasian

5

1.11

0.98–1.26

0.09

Fixed

0.35

10

Latin American

2

0.81

0.46–1.42

0.46

Random

0.08

68

Female

5

1.08

0.87–1.33

0.49

Fixed

0.18

36

Male

5

0.94

0.71–1.24

0.66

Fixed

0.43

0

D16 versus Others

Overall

10

1.00

0.79–1.27

1.00

Random

0.03

51

Asian

4

0.89

0.56–1.41

0.62

Random

0.03

66

Caucasian

4

0.96

0.75–1.22

0.73

Fixed

0.24

29

Latin American

2

1.23

0.55–2.73

0.85

Random

0.05

75

Female

5

0.89

0.59–1.34

0.58

Random

0.10

48

Male

5

0.82

0.56–1.21

0.32

Fixed

0.90

0

D17 versus Others

Overall

10

1.28

0.91–1.80

0.16

Random

0.07

44

Asian

4

1.30

0.68–2.50

0.43

Random

0.08

56

Caucasian

4

1.37

0.94–2.02

0.10

Fixed

0.25

26

Latin American

2

1.32

0.38–4.57

0.66

Random

0.04

77

Female

5

1.57

0.95–2.59

0.08

Fixed

0.65

0

Male

5

1.77

0.87–3.60

0.11

Fixed

0.86

0

NA not available

Fig. 2

OR and 95% CI for the D15 allele vs. other alleles combined in overall populations and ethnic-specific analysis

Fig. 3

OR and 95% CI for the D16 allele vs. other alleles combined in overall populations and ethnic-specific analysis

Fig. 4

OR and 95% CI for the D17 allele vs. other alleles combined in overall populations and ethnic-specific analysis

For ethnic-specific analysis, no association was observed between D15 polymorphism and susceptibility to KOA in the Asian (OR = 0.93, 95% CI 0.69–1.27), Caucasian (OR = 1.11, 95% CI 0.98–1.26), or Latin American (OR = 0.81, 95% CI 0.46–1.42) populations (Fig. 5). The same results were also observed in the analysis of D16 and D17 alleles (Fig. 5). Similarly, none of the alleles showed significant sex-specific association with susceptibility to KOA (Fig. 5).
Fig. 5

OR and 95% CI for the D15, D16, and D17 alleles vs. other alleles combined in gender-specific analysis

Sensitivity analysis and publication bias

Because of the high heterogeneity found in D16 and D17 allele analysis for overall and Asian population, we performed the sensitivity analysis to identify the results by removing the case–control study of Kizawa et al. [13] which induced heterogeneity. The results of sensitivity analysis showed the pooled OR of D17 allele vs other alleles combined exceeded 1 (OR = 1.43, 95% CI 1.09–1.89, P < 0.05) (Table 3), indicating a significant positive relationship between D17 allele and susceptibility to KOA after sensitivity analysis. The same results were also observed in D17 allele sensitivity analysis for Asian population (OR = 1.78, 95% CI 1.02–3.11, P < 0.05) (Table 3). These results differed greatly from previous results without removing the article.
Table 3

Sensitivity analysis of the association between D-repeat polymorphism and KOA susceptibility

Polymorphism

Population

Participants(number)

No. of studies

Test of association

Test of heterogeneity

  

Case

Control

 

OR

95% CI

P value

Model

P value

I 2 (%)

D17 versus others

Overall

3237

5398

9

1.43

1.09–1.89

0.01

Fixed

0.26

21

D17 versus others

Asian

1090

2128

3

1.78

1.02–3.11

0.04

Fixed

0.59

0

D16 versus others

Asian

1090

2128

3

0.70

0.50–1.00

0.05

Fixed

0.64

0

Excludes the case–control study of Kizawa et al. [13]

We estimated potential publication bias by Egger’s regression test and Begg’s test. The P value for Egger’s and Begg’s test of the asporin D15 allele analysis was 0.354 and 0.213, revealing no proof of publication bias. There was also no significant publication bias in analyses of D16 and D17 alleles (Egger’s and Begg’s test P > 0.1).

Discussion

In the current study, ten published articles (11 comparisons) were included with a total of 2745 KOA and 3621 controls from Caucasian, Asian, and Latin American populations to examine the relationship between ASPN D-repeat polymorphism and KOA susceptibility by ethnic- and sex-specific meta-analysis. We observed that D15, D16, and D17 alleles had no effect on KOA susceptibility with significant heterogeneity in overall population and subgroups mentioned above.

OA is the most common form of joint disorder, leading to physical disability in middle age around the world [4]. The pathogenesis of OA is complex and is still unclear at present, but the effects of genetic polymorphisms on OA susceptibility have attracted increasing attention [6, 7]. Some candidate genes coding for the proteins responsible for the maintenance of articular cartilage have already been reported. Among them, ASPN is an important biologically active component of ECM and a number of evidence demonstrates its role in OA pathogenesis [12]. Patients with OA have an increased expression of ASPN in contrast with healthy controls. One potential mechanism is that ASPN may suppress chondrogenesis by inhibiting TGF-β signaling pathway in the development of OA [10]. The number of D-repeats in N-terminal region of ASPN varies from 9 (D9) to 20(D20) [9]. However, the association between D-repeat polymorphism and KOA susceptibility remains controversial and needs to be further explored.

A positive association (OR = 2.49, 95% CI 1.4–4.4, P < 0.01) between the D14 allele and KOA susceptibility was first reported by Kizawa et al. in a cohort sample (394 cases and 374 controls) and a case–control study (137 cases and 234 controls) in Japanese population [13]. However, subsequent studies, which were carried out in different populations worldwide, showed inconsistent results. In UK cases and controls (278 cases and 748 controls), Mustafa et al. reported that ASPN D-repeat polymorphism had little effect on KOA susceptibility (P > 0.1) [32]. Another case–control study (188 cases and 294 controls) in Spanish population yielded the same results (P > 0.1) [33]. Kaliakatsos et al. indicated that the D15 allele, but not the D14 allele, was found to be associated with increased risk of KOA (OR = 1.54, 95% CI 1.07–2.2, P < 0.03) in a Greek case–control study (155 cases and 190 controls) [34]. Similarly, Jazayeri et al. found that D15 allele could be considered as a risk allele only for women in the Iranian population (OR = 1.73, 95% CI 1.01–2.94, P < 0.05) [35]. Moreover, in Mexican Mestizo population, D16 allele was observed as a risk factor of KOA in females (OR = 2.226, 95% CI 1.064–3.151, P < 0.03), whereas male carriers of D17 allele were more susceptible to KOA (OR = 3.803, 95% CI 1.010–14.317, P < 0.05) [21]. There were a number of reasons for these confusing results. Differences in inclusion criteria might be one of them. Some studies recruited KOA patients according to symptoms or radiographic evidence [13, 21, 3538], whereas the others according to joint replacement [3234, 39]. Additionally, ethnic and gender differences might be another important reason as well.

Compared with the previous meta-analysis, there are three differences in the present study. First, it is the first study to investigate the association of ASPN D15, D16, and D17 alleles and KOA susceptibility. Second, our report enrolled five sex-stratified studies [32, 33, 35, 37, 39], and it is the first meta-analysis aimed at investigating the association between asporin D-repeat polymorphism and occurrence of KOA in gender-specific approach. Moreover, it included two new references, a new Iranian study [35]and a study in Mexican Mestizo population [38].

In the present meta-analysis, we summarized different studies mentioned above to assess heterogeneity and association between D-repeat polymorphism and KOA susceptibility. The pooling results failed to prove significant associations between the D15, D16, and D17 alleles and KOA occurrence in Caucasians, Asians, and Latin Americans, and the same results were also observed in sex-specific subgroups.

The heterogeneity between separate studies might be caused by lots of complex factors, including age, gender, quality of included studies, diagnostic criteria, inclusion criteria, racial differences, and environmental factors. In our present study, ethnic- and sex-specific subgroup analyses were performed to reduce heterogeneity. In addition, a sensitivity analysis was performed to evaluate the stability of the association between the D16 and D17 alleles and KOA susceptibility in overall and subgroups. After omitting the case–control study of Kizawa et al. [13], a positive association was observed between the D17 allele frequency and increased susceptibility to KOA with low heterogeneity. And similar result was observed in the ethnic-stratified subgroup that D17 allele was a risk factor of KOA in Asians. These opposite results indicated that the pooling results may include a type II error, or false negative, and were lacking enough stability to come to the firm conclusion on association between the D17 allele and KOA susceptibility in overall and Asians group. However, due to the small sample size of D17 allele, this result should be considered with caution.

Several previous studies had demonstrated the gender differences for patients in allele frequencies [3436, 39]. Although more sex-stratified studies were required because original data of each research cannot be acquired, our study was the first meta-analysis stratified by both gender and ethnicity. The present meta-analysis of the asporin gene D-repeat may not describe a significant difference in sex-specific subgroups, but they reduced the heterogeneity to a certain extent. Nevertheless, the heterogeneity of our study could not be appropriately solved, and some underlying reasons might account for the current predicament.

For instance, different inclusion criteria could be an essential factor for heterogeneity. The included studies were four studies recruiting patients undergone total knee arthroplasty (TKA) [3234, 39], and six studies enrolled participants by assessing clinical and radiologic evaluation [13, 21, 3538]. Consequently, the current meta-analysis may include patients with various pathological and radiographic grades. Moreover, the existence of heterogeneity might also be explained by genotype–environment interaction that reflecting different genes respond to environmental variations in different ways.

The limitations of the present meta-analysis were briefly discussed in the following section. First, despite the subgroup analyses performed by ethnicity and gender, the existence of heterogeneity could not be totally resolved. We were failed to apply more types of subgroup analysis stratified by personal conditions or clinical variables because lack of enough original data from included studies. Therefore, the result of our meta-analysis should be interpreted with caution. Second, the environmental and genetic factors remained unclear in the present study. Both of them were responsible for the heterogeneity as well. Third, insufficient including studies with enough raw data, particularly in ethnic- and gender-stratified analyses, influenced the statistical efficacy and caused the high heterogeneity. It is also the reason why meta-regression analysis cannot be performed and was failed to detect the cause of heterogeneity. To settle the problems mentioned above, further studies with more different ethnic populations, unified inclusion criteria, functional research of ASPN D-repeat, sufficient raw data, and environmental and genetic interaction are clearly needed.

Conclusion

In conclusion, we carried out a meta-analysis of the association between D-repeat polymorphism of ASPN and susceptibility to KOA in Asian, Caucasian, and Latin American populations. Overall, we found no significant relationship between KOA susceptibility and the D15, D16, or D17 alleles. However, results with significant heterogeneity lacked sufficient stability to provide an accurate conclusion on this study. Further studies are required to investigate the role of ASPN; these findings may help to elucidate the pathogenesis of OA and may inform the development of novel therapeutic strategies for OA.

Abbreviations

ACL: 

Anterior cruciate ligament

ASPN: 

Asporin gene

CI: 

Confidence interval

ECM: 

Extracellular matrix

KOA: 

Knee osteoarthritis

OA: 

Osteoarthritis

OR: 

Odds ratio

SLRPs: 

Small leucin-rich proteoglycans

TGF: 

Transforming growth factor

TKA: 

Total knee arthroplasty

Declarations

Acknowledgements

Not applicable.

Funding

This study was supported by the National Natural Science Foundation of China (8157090664, 21134004), National Basic Research Program of China (973 Program, 2014CB542201, 2012CB518106), National High Technology Research and Development Program of China (863 Program, 2015AA020303), and National Science and Technology Major Project of China (2016YFC1102104).

Availability of data and materials

Please contact the author for data requests.

Authors’ contributions

RL and XY carried out the molecular genetic studies, participated in the sequence alignment, and drafted the manuscript. JY revised the manuscript. QQ, HM, and CW carried out the immunoassays. AW and QG participated in the sequence alignment. JP participated in the design of the study and performed the statistical analysis. SL conceived of the study, participated in its design and coordination, and helped to draft the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This section is not applicable for our study.

Consent for publication

This section is not applicable for our study.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Institute of Orthopedics, Beijing Key Laboratory of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, Chinese PLA General Hospital
(2)
Department of Kampo Medicine, Yokohama University of Pharmacy

References

  1. Haq SA, Davatchi F. Osteoarthritis of the knees in the COPCORD world. Int J Rheum Dis. 2011;14(2):122–9.View ArticlePubMedGoogle Scholar
  2. Woolf AD, Pfleger B. Burden of major musculoskeletal conditions. Bull World Health Organ. 2003;81(9):646–56.PubMedPubMed CentralGoogle Scholar
  3. Glyn-Jones S, Palmer AJ, Agricola R, Price AJ, Vincent TL, Weinans H, et al. Osteoarthritis Lancet. 2015;386(9991):376–87.PubMedGoogle Scholar
  4. Felson DT, Anderson JJ, Naimark A, Kannel W, Meenan RF. The prevalence of chondrocalcinosis in the elderly and its association with knee osteoarthritis: the Framingham study. J Rheumatol. 1989;16(9):1241–5.PubMedGoogle Scholar
  5. Jevsevar DS. Treatment of osteoarthritis of the knee: evidence-based guideline, 2nd edition. J Am Acad Orthop Surg. 2013;21(9):571–6.PubMedGoogle Scholar
  6. Loughlin J. Genetic contribution to osteoarthritis development: current state of evidence. Curr Opin Rheumatol. 2015;27(3):284–8.View ArticlePubMedPubMed CentralGoogle Scholar
  7. Reynard LN, Loughlin J. Insights from human genetic studies into the pathways involved in osteoarthritis. Nat Rev Rheumatol. 2013;9(10):573–83.View ArticlePubMedGoogle Scholar
  8. Goldring MB, Goldring SR. Articular cartilage and subchondral bone in the pathogenesis of osteoarthritis. Ann N Y Acad Sci. 2010;1192:230–7.View ArticlePubMedGoogle Scholar
  9. Lorenzo P, Aspberg A, Onnerfjord P, Bayliss MT, Neame PJ, Heinegard D. Identification and characterization of asporin. a novel member of the leucine-rich repeat protein family closely related to decorin and biglycan. J Biol Chem. 2001;276(15):12201–11.View ArticlePubMedGoogle Scholar
  10. Nakajima M, Kizawa H, Saitoh M, Kou I, Miyazono K, Ikegawa S. Mechanisms for asporin function and regulation in articular cartilage. J Biol Chem. 2007;282(44):32185–92.View ArticlePubMedGoogle Scholar
  11. Henry SP, Takanosu M, Boyd TC, Mayne PM, Eberspaecher H, Zhou W, et al. Expression pattern and gene characterization of asporin. a newly discovered member of the leucine-rich repeat protein family. J Biol Chem. 2001;276(15):12212–21.View ArticlePubMedGoogle Scholar
  12. Ikegawa S. Expression, regulation and function of asporin, a susceptibility gene in common bone and joint diseases. Curr Med Chem. 2008;15(7):724–8.View ArticlePubMedGoogle Scholar
  13. Kizawa H, Kou I, Iida A, Sudo A, Miyamoto Y, Fukuda A, et al. An aspartic acid repeat polymorphism in asporin inhibits chondrogenesis and increases susceptibility to osteoarthritis. Nat Genet. 2005;37(2):138–44.View ArticlePubMedGoogle Scholar
  14. Nakamura T, Shi D, Tzetis M, Rodriguez-Lopez J, Miyamoto Y, Tsezou A, et al. Meta-analysis of association between the ASPN D-repeat and osteoarthritis. Hum Mol Genet. 2007;16(14):1676–81.View ArticlePubMedGoogle Scholar
  15. Xing D, Ma XL, Ma JX, Xu WG, Wang J, Yang Y, et al. Association between aspartic acid repeat polymorphism of the asporin gene and susceptibility to knee osteoarthritis: a genetic meta-analysis. Osteoarthr Cartil. 2013;21(11):1700–6.View ArticlePubMedGoogle Scholar
  16. Song GG, Kim JH, Lee YH. A meta-analysis of the relationship between aspartic acid (D)-repeat polymorphisms in asporin and osteoarthritis susceptibility. Rheumatol Int. 2014;34(6):785–92.View ArticlePubMedGoogle Scholar
  17. Srikanth VK, Fryer JL, Zhai G, Winzenberg TM, Hosmer D, Jones G. A meta-analysis of sex differences prevalence, incidence and severity of osteoarthritis. Osteoarthr Cartil. 2005;13(9):769–81.View ArticlePubMedGoogle Scholar
  18. Agel J, Arendt EA, Bershadsky B. Anterior cruciate ligament injury in national collegiate athletic association basketball and soccer: a 13-year review. Am J Sports Med. 2005;33(4):524–30.View ArticlePubMedGoogle Scholar
  19. Bien DP. Rationale and implementation of anterior cruciate ligament injury prevention warm-up programs in female athletes. J Strength Cond Res. 2011;25(1):271–85.View ArticlePubMedGoogle Scholar
  20. Hibberd EE, Kerr ZY, Roos KG, Djoko A, Dompier TP. Epidemiology of acromioclavicular joint sprains in 25 National Collegiate Athletic Association Sports: 2009-2010 to 2014-2015 academic years. Am J Sports Med. 2016;44(10):2667–74.View ArticlePubMedGoogle Scholar
  21. Arellano RD, Hernandez F, Garcia-Sepulveda CA, Velasco VM, Loera CR, Arguello JR. The D-repeat polymorphism in the ASPN gene and primary knee osteoarthritis in a Mexican mestizo population: a case-control study. J Orthop Sci. 2013;18(5):826–31.View ArticlePubMedGoogle Scholar
  22. Zhang W, Nuki G, Moskowitz RW, Abramson S, Altman RD, Arden NK, et al. OARSI recommendations for the management of hip and knee osteoarthritis: part III: changes in evidence following systematic cumulative update of research published through January 2009. Osteoarthr Cartil. 2010;18(4):476–99.View ArticlePubMedGoogle Scholar
  23. Jordan JM, Helmick CG, Renner JB, Luta G, Dragomir AD, Woodard J, et al. Prevalence of knee symptoms and radiographic and symptomatic knee osteoarthritis in African Americans and Caucasians: the Johnston County Osteoarthritis Project. J Rheumatol. 2007;34(1):172–80.PubMedGoogle Scholar
  24. Dillon CF, Rasch EK, Gu Q, Hirsch R. Prevalence of knee osteoarthritis in the United States: arthritis data from the Third National Health and Nutrition Examination Survey 1991-94. J Rheumatol. 2006;33(11):2271–9.PubMedGoogle Scholar
  25. Zhang Y, McAlindon TE, Hannan MT, Chaisson CE, Klein R, Wilson PW, et al. Estrogen replacement therapy and worsening of radiographic knee osteoarthritis: the Framingham study. Arthritis Rheum. 1998;41(10):1867–73.View ArticlePubMedGoogle Scholar
  26. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58.View ArticlePubMedGoogle Scholar
  27. Laird NM, Mosteller F. Some statistical methods for combining experimental results. Int J Technol Assess Health Care. 1990;6(1):5–30.View ArticlePubMedGoogle Scholar
  28. Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst. 1959;22(4):719–48.PubMedGoogle Scholar
  29. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177–88.View ArticlePubMedGoogle Scholar
  30. Egger M, Smith GD, Phillips AN. Meta-analysis: principles and procedures. BMJ. 1997;315(7121):1533–7.View ArticlePubMedPubMed CentralGoogle Scholar
  31. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.View ArticlePubMedPubMed CentralGoogle Scholar
  32. Mustafa Z, Dowling B, Chapman K, Sinsheimer JS, Carr A, Loughlin J. Investigating the aspartic acid (D) repeat of asporin as a risk factor for osteoarthritis in a UK Caucasian population. Arthritis Rheum. 2005;52(11):3502–6.View ArticlePubMedGoogle Scholar
  33. Rodriguez-Lopez J, Pombo-Suarez M, Liz M, Gomez-Reino JJ, Gonzalez A. Lack of association of a variable number of aspartic acid residues in the asporin gene with osteoarthritis susceptibility: case-control studies in Spanish Caucasians. Arthritis Res Ther. 2006;8(3):R55.View ArticlePubMedPubMed CentralGoogle Scholar
  34. Kaliakatsos M, Tzetis M, Kanavakis E, Fytili P, Chouliaras G, Karachalios T, et al. Asporin and knee osteoarthritis in patients of Greek origin. Osteoarthr Cartil. 2006;14(6):609–11.View ArticlePubMedGoogle Scholar
  35. Jazayeri R, Qoreishi M, Hoseinzadeh HR, Babanejad M, Bakhshi E, Najmabadi H, et al. Investigation of the asporin gene polymorphism as a risk factor for knee osteoarthritis in Iran. Am J Orthop (Belle Mead NJ). 2013;42(7):313–6.Google Scholar
  36. Atif U, Philip A, Aponte J, Woldu EM, Brady S, Kraus VB, et al. Absence of association of asporin polymorphisms and osteoarthritis susceptibility in US Caucasians. Osteoarthr Cartil. 2008;16(10):1174–7.View ArticlePubMedPubMed CentralGoogle Scholar
  37. Jiang Q, Shi D, Yi L, Ikegawa S, Wang Y, Nakamura T, et al. Replication of the association of the aspartic acid repeat polymorphism in the asporin gene with knee-osteoarthritis susceptibility in Han Chinese. J Hum Genet. 2006;51(12):1068–72.View ArticlePubMedGoogle Scholar
  38. Gonzalez-Huerta NC, Borgonio-Cuadra VM, Zenteno JC, Cortes-Gonzalez S, Duarte-Salazar C, Miranda-Duarte A. D14 repeat polymorphism of the asporin gene is associated with primary osteoarthritis of the knee in a Mexican Mestizo population. Int J Rheum Dis. 2015;Google Scholar
  39. Song JH, Lee HS, Kim CJ, Cho YG, Park YG, Nam SW, et al. Aspartic acid repeat polymorphism of the asporin gene with susceptibility to osteoarthritis of the knee in a Korean population. Knee. 2008;15(3):191–5.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2017

Advertisement