scholarly journals Association between Growth Differentiation Factor 5 rs143383 Genetic Polymorphism and the Risk of Knee Osteoarthritis among Caucasian But Not Asian: A Meta-analysis

2020 ◽  
Author(s):  
peng lei ◽  
Song Jin ◽  
Jiping Lu ◽  
Chao Ouyang ◽  
Jiang Gou ◽  
...  
Keyword(s):  
Genetic Polymorphism ◽  
Knee Osteoarthritis ◽  
Meta Analysis ◽  
Case Control ◽  
Recessive Model ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Trial Quality ◽  
Differentiation Factor ◽  
Growth Differentiation Factor 5

Abstract Background A few months ago, the Bioscience Reports journal showed that Growth Differentiation Factor 5 (GDF5) rs143383 genetic polymorphism increases the susceptibility of knee osteoarthritis (KOA), but previous studies’ results have debates about available data. Considering the availability of more recent data, we focus on clarifying the relationship of KOA and GDF5 rs143383 genetic polymorphism by a meta-analysis of case-control trial data. Methods The eligible studies from the time of database established to Oct. 2019 were collected from PubMed, Springer, Cochrane library, Web of Science, China National Knowledge Infrastructure (CNKI), Wan Fang library. The meta-analysis was completed by STATA 18.0 software. Two independent authors extracted the data and assessed case-control trial quality. Results A total of 196 studies were collected, 16 of them including in final meta-analysis (7997 cases and 12684 controls). There was significant association between GDF 5 rs143383 polymorphism and KOA in all genetic models (for Allele model (C versus T): OR = 0.84 (95% CI = 0.76-0.91); dominate model (CC+CT versus TT): OR = 0.80(95% CI = (0.72-0.90); recessive model (CC versus CT+TT): OR= 0.79 (95% CI = 0.68-0.92); heterozygote model (CT versus CC+TT): OR = 0.89 (95% CI=0.80-0.97); homozygous model (CC versus TT): OR = 0.71 (95% CI=0.60-0.85). In the subgroup analysis by ethnicity, we obtained the results is no significant among Asians. Conclusion GDF5 rs143383 genetic polymorphism increases the risk of KOA among Caucasians; CC genotype and C allele are protective factors for the susceptibility of KOA among Caucasians.

scholarly journals Association between growth differentiation factor 5 rs143383 genetic polymorphism and the risk of knee osteoarthritis among Caucasian but not Asian: a meta-analysis

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Lei Peng ◽  
Song Jin ◽  
Jiping Lu ◽  
Chao Ouyang ◽  
Jiang Guo ◽  
...  
Keyword(s):  
Genetic Polymorphism ◽  
Knee Osteoarthritis ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Differentiation Factor ◽  
Model C ◽  
Relationship Of ◽  
Growth Differentiation Factor 5

Abstract Background A few months ago, the Bioscience Reports journal showed that growth differentiation factor 5 (GDF5) rs143383 genetic polymorphism increases the susceptibility of knee osteoarthritis (KOA), but previous studies’ results have debates about available data. Considering the availability of more recent data, we focus on clarifying the relationship of KOA and GDF5 rs143383 genetic polymorphism by a meta-analysis of case-control trial data. Methods The eligible studies from the time of database established to Oct. 2019 were collected from PubMed, Springer, Cochrane library, Web of Science, China National Knowledge Infrastructure (CNKI), and Wan Fang library. Odds ratios (OR) and 95% confidence intervals (CI) were used to estimate the association between these polymorphisms and KOA risk. The meta-analysis was completed by STATA 18.0 software. Results A total of 196 studies were collected, 16 of them included in final meta-analysis (7997 cases and 12,684 controls). There was significant association between GDF5 rs143383 polymorphism and KOA in all genetic models (for Allele model (C versus T): OR = 0.84 (95% CI = 0.76–0.91); dominate model (CC+CT versus TT): OR = 0.80 (95% CI = 0.72–0.90); recessive model (CC versus CT+TT): OR = 0.79 (95% CI = 0.68–0.92); heterozygote model (CT versus CC+TT): OR = 0.89 (95% CI = 0.80–0.97); homozygous model (CC versus TT): OR = 0.71 (95% CI = 0.60–0.85)). In the subgroup analysis, we obtained the results that there is no significance among Asians. Conclusion GDF5 rs143383 genetic polymorphism increases the risk of KOA among Caucasians; CC genotype and C allele are protective factors for the susceptibility of KOA among Caucasians.

scholarly journals Association Between Growth Differentiation Factor 5 rs143383 Genetic Polymorphism and the Risk of Knee Osteoarthritis Among Caucasian but Not Asian: A Meta-analysis (PROSPERO CRD42020168180)

2020 ◽  
Author(s):  
peng lei ◽  
Song Jin ◽  
Jiping Lu ◽  
Chao Ouyang ◽  
Jiang Gou ◽  
...  
Keyword(s):  
Genetic Polymorphism ◽  
Knee Osteoarthritis ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Differentiation Factor ◽  
Model C ◽  
Relationship Of ◽  
Growth Differentiation Factor 5

Abstract Background. A few months ago, the Bioscience Reports journal showed that Growth Differentiation Factor 5 (GDF5) rs143383 genetic polymorphism increases the susceptibility of knee osteoarthritis (KOA), but previous studies’ results have debates about available data. Considering the availability of more recent data, we focus on clarifying the relationship of KOA and GDF5 rs143383 genetic polymorphism by a meta-analysis of case-control trial data.Methods. The eligible studies from the time of database established to Oct. 2019 were collected from PubMed, Springer, Cochrane library, Web of Science, China National Knowledge Infrastructure (CNKI), Wan Fang library.Odds ratios (OR) and 95% confidence intervals (CI) were used to estimate the association between these polymorphisms and KOA risk. The meta-analysis was completed by STATA 18.0 software. Results. A total of 196 studies were collected, 16 of them including in final meta-analysis (7997 cases and 12684 controls). There was significant association between GDF 5 rs143383 polymorphism and KOA in all genetic models (for Allele model (C versus T): OR = 0.84 (95% CI = 0.76-0.91); dominate model (CC+CT versus TT): OR = 0.80(95% CI = (0.72-0.90); recessive model (CC versus CT+TT): OR= 0.79 (95% CI = 0.68-0.92); heterozygote model (CT versus CC+TT): OR = 0.89 (95% CI=0.80-0.97 ); homozygous model (CC versus TT): OR = 0.71 (95% CI=0.60-0.85). In the subgroup analysis by ethnicity, we obtained the results is no significant among Asians.Conclusion. GDF5 rs143383 genetic polymorphism increases the risk of KOA among Caucasians; CC genotype and C allele are protective factors for the susceptibility of KOA among Caucasians.

scholarly journals Correlation between growth differentiation factor 5 (rs143383) gene polymorphism and knee osteoarthritis: an updated systematic review and meta-analysis

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Bin Jia ◽  
Yaping Jiang ◽  
Yingxing Xu ◽  
Yingzhen Wang ◽  
Tao Li
Keyword(s):  
Gene Polymorphism ◽  
Knee Osteoarthritis ◽  
Meta Analysis ◽  
Recessive Model ◽  
China National Knowledge Infrastructure ◽  
Level Of Evidence ◽  
Differentiation Factor ◽  
Genotype C ◽  
Growth Differentiation Factor 5 ◽  
Gdf5 Gene

AbstractBackgroundA great deal of evidence has supported that growth differentiation factor 5 (GDF5) is associated with the occurrence of knee osteoarthritis (KOA), while their results are not consistent. In the present study, we aimed to explore the association between GDF5 gene polymorphism and KOA for a more credible conclusion.MethodsComprehensive literature searches were carried out in English databases, including PubMed, Embase, Web of Science (WOS), and Cochrane, and Chinese databases, including China National Knowledge Infrastructure (CNKI), WANFANG, and VIP database. After the data were extracted from the required studies, the odds ratios (ORs) and their 95% confidence intervals (CIs) were determined to assess the correlation between GDF5 gene polymorphism and KOA. The publication bias was evaluated by funnel plot.ResultsAccording to the inclusion and exclusion criteria, 15 studies on the correlation between GDF5 gene polymorphism and KOA occurrence were eligible for meta-analysis. Among these articles, four studies showed no apparent correlation, while the other 11 studies indicated an obvious correlation. Meanwhile, we also carried out a subgroup analysis of the population. Due to the inevitable heterogeneity, three genetic models were finally selected for analysis. With the allele model (C versus T: OR = 0.79, 95% CI = 0.73~0.87), recessive model (CC versus CT + TT: OR = 0.76, 95% CI = 0.68~0.86), and homozygous model (CC versus TT: OR = 0.66, 95% CI = 0.58~0.76), GDF5 gene polymorphism decreased the risk of KOA. Besides, a significant association was observed in Caucasians, Asians, and Africans. Meanwhile, the protective effect of genotype C (or CC) in the Asian group was little obvious than that in the Caucasian group and the African group. Although the quality of the included studies was above medium-quality, we obtained results with a low level of evidence.ConclusionsThe results of the meta-analysis showed that the genotype C (or CC) of GDF5 protected against KOA occurrence in Caucasian, Asian, and African populations.

scholarly journals Association between the polymorphism of MMP-1 gene with knee osteoarthritis risk: a meta-analysis

2019 ◽  
Author(s):  
Feifan Lu ◽  
Qidong Zhang ◽  
weiguo wang ◽  
wanshou guo ◽  
pei liu
Keyword(s):  
Knee Osteoarthritis ◽  
Web Of Science ◽  
Meta Analysis ◽  
Case Control ◽  
Recessive Model ◽  
Cochrane Library ◽  
Matrix Metalloproteinase 1 ◽  
Statistical Heterogeneity ◽  
Different Populations ◽  
Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Materials and Method: Literature search was performed in PubMed, Embase, Medline, Cochrane Library, Web of science, Google Scholar, CNKI, Wanfang database (last search update June 1st 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X2 test with the significance set P<0.10 or I2>50%. Result: Five case-control based studies (924 cases and 928 controls) were included. The results show that in Allele model (1G1G vs. 2G2G: OR =1.22, 95% CI: 0.72-1.76), Recessive model (2G2G vs 1G2G+1G1G: OR = 1.12, 95% CI: 0.70-2.15) and Dominant model (2G2G+1G2G vs 1G1G: OR = 1.14, 95%CI: 0.64-2.04). Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis.

Association between ALDH2 Gene Polymorphism and Late-onset Alzheimer Disease: An Up-to-date Meta-analysis

2020 ◽  
Vol 17 (2) ◽  
pp. 105-111
Author(s):  
Haitao Liu ◽  
Wei Ge ◽  
Wei Chen ◽  
Xue Kong ◽  
Weiming Jian ◽  
...  
Keyword(s):  
Gene Polymorphism ◽  
Large Scale ◽  
Late Onset ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Positive Trend ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Aldh2 Gene

Objectives: Previous case-control studies have focused on the relationship between ALDH2 gene polymorphism and late-onset Alzheimer's Disease (LOAD), but no definite unified conclusion has been reached. Therefore, the correlation between ALDH2 Glu504Lys polymorphism and LOAD remains controversial. To analyze the correlation between ALDH2 polymorphism and the risk of LOAD, we implemented this up-to-date meta-analysis to assess the probable association. Methods: Studies were searched through China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals, China Biology Medicine, PubMed, Cochrane Library, Clinical- Trials.gov, Embase, and MEDLINE from January 1, 1994 to December 31, 2018, without any restrictions on language and ethnicity. Results: Five studies of 1057 LOAD patients and 1136 healthy controls met our criteria for the analysis. Statistically, the ALDH2 GA/AA genotype was not linked with raising LOAD risk (odds ratio (OR) = 1.48, 95% confidence interval (CI) = 0.96-2.28, p = 0.07). In subgroup analysis, the phenomenon that men with ALDH2*2 had higher risk for LOAD (OR = 1.72, 95%CI = 1.10-2.67, p = 0.02) was observed. Conclusions: This study comprehends only five existing case-control studies and the result is negative. The positive trend might appear when the sample size is enlarged. In the future, more large-scale casecontrol or cohort studies should be done to enhance the association between ALDH2 polymorphism and AD or other neurodegenerative diseases.

scholarly journals Association between the polymorphism of IL-17A and IL-17F gene with knee osteoarthritis risk: a meta-analysis based on case-control studies

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Feifan Lu ◽  
Pei Liu ◽  
Qidong Zhang ◽  
Weiguo Wang ◽  
Wanshou Guo
Keyword(s):  
Knee Osteoarthritis ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Case Control ◽  
Joint Disease ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Knee Oa ◽  
Statistical Heterogeneity ◽  
Bone Changes

Abstract Background Knee osteoarthritis is a joint disease which is characterized by degeneration of articular cartilage and subsequent subchondral bone changes. Polymorphisms of IL-17A/F gene were the recognized candidate genes associated with knee osteoarthritis risk although the results were conflicting. The aim of this study was to determine whether IL-17A(rs2275913) and IL-17F(rs763780) polymorphisms confer susceptibility to knee osteoarthritis. Method Literature search was performed in PubMed, Medline, Cochrane Library, Web of science, Embase, and Google Scholar (last search was updated on June 20, 2019), and assessing this association was performed by calculating odds ratios with 95% confidence intervals. Statistical heterogeneity was quantitatively evaluated by using the Q statistic with its p value and I2 statistic. Result Six case-control based studies were included involving IL-17A(rs2275913) (2134 cases and 2306 controls) and IL-17F(rs763780) (2134 cases and 2426 controls). The overall analysis suggested that the A allele of the rs2275913 polymorphism, and the C allele of the rs763780 polymorphism in the IL-17 gene may increase the risk of OA. However, subgroup analysis revealed that no association between IL-17A(rs2275913) gene and knee OA risk was found in Caucasian population. Conclusions This meta-analysis revealed that the IL-17A(rs2275913) gene polymorphisms may increase the risk of knee OA in Asians, and the IL-17F(rs763780) gene polymorphisms may increase the risk of knee OA both in Asians and Caucasians. However, because of the limitations of the present study, additional larger studies are needed to confirm our findings in the future.

scholarly journals Effects and safety of platelet-rich plasma (PRP) and hyaluronic acid (HA), alone and in combination, in the treatment of knee osteoarthritis: A systematic review and meta-analysis.

2020 ◽  
Author(s):  
Jinlong Zhao ◽  
Hetao Huang ◽  
Guihong Liang ◽  
Ling-feng Zeng ◽  
Weiyi Yang ◽  
...  
Keyword(s):  
Hyaluronic Acid ◽  
Knee Osteoarthritis ◽  
Knee Pain ◽  
Platelet Rich Plasma ◽  
Meta Analysis ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Womac Function ◽  
Lequesne Index

Abstract Background Studies have shown that the combined application of hyaluronic acid (HA) and platelet-rich plasma (PRP) can repair degenerated cartilage and delay the progression of knee osteoarthritis (KOA). The purpose of this study was to explore the efficacy and safety of PRP combined with HA in the treatment of KOA compared with intra-articular injection of PRP or HA alone. Methods The PubMed, Cochrane Library, EMBASE and China National Knowledge Infrastructure (CNKI) databases were searched from inception to December 2019. Two orthopaedic surgeons conducted the literature retrieval and extracted the data. Outcome indicators include the Western Ontario and McMaster Universities Arthritis Index (WOMAC), the Lequesne Index, the visual analogue scale (VAS) for pain, and adverse events (AEs). Results Seven studies (5 randomized controlled trials, 2 cohort studies) with a total of 941 patients were included. In the VAS comparison after 6 months of follow-up, PRP combined with HA was more likely to reduce knee pain than PRP alone (standardized mean difference (SMD): -0.31; 95% confidence interval (CI): -0.55 to -0.06; P=0.01 <0.05). PRP combined with HA for KOA achieved better improvement in WOMAC Function Score (SMD: -0.32; 95% CI: -0.54 to -0.10) and WOMAC Total Score (SMD: -0.42; 95% CI: -0.67 to -0.17) at the 12-month follow-up than the application of PRP alone. In a comparison of Lequesne Index scores at a 6-month follow-up, PRP combined with HA improved knee pain scores more than PRP alone (SMD: -0.42; 95% CI: -0.67 to -0.17). In terms of AEs, PRP combined with HA was not significantly different from PRP or HA alone (P>0.05). Conclusions Compared with intra-articular injection of PRP alone, PRP combined with HA can improve WOMAC Function Scores, WOMAC Total Score, 6-month follow-up VAS ratings, and Lequesne Index scores. However, in terms of the incidence of AEs, PRP combined with HA was not significantly different from PRP or HA alone.

scholarly journals Association between the polymorphism of MMP-1 gene with knee osteoarthritis risk: a meta-analysis

2019 ◽  
Author(s):  
Feifan Lu ◽  
Pei Liu ◽  
Weiguo Wang ◽  
Qidong Zhang ◽  
Wanshou Guo
Keyword(s):  
Knee Osteoarthritis ◽  
Web Of Science ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cochrane Library ◽  
Knee Oa ◽  
Matrix Metalloproteinase 1 ◽  
Statistical Heterogeneity ◽  
Different Populations ◽  
Allele Model

Abstract Background: The existing studies on the association between polymorphisms of Matrix metalloproteinase-1 (MMP-1) (-1607 1G/2G) (rs1799750) polymorphism and the risk of knee osteoarthritis (OA, a complex multifactorial disease and a major degenerative form of arthritis) in different populations have yielded conflicting findings. Method: Literature search was performed in PubMed, Cochrane Library, Web of science, Google Scholar (From January 1990 to June 2019), and assessing this association by calculating odds ratios with 95% confidence intervals. Subgroup analyses stratified by ethnicity were also conducted. Statistical heterogeneity was quantitatively evaluated by X 2 test with the significance set P<0.10 or I 2 >50%. Result: Five case-control based studies (924 cases and 928 controls) were included. The results suggested that the MMP-1 (-1607 1G/2G) (rs1799750) gene polymorphisms were not associated with knee OA risk in all genetic models (Allele model OR =1.22, 95% CI: 0.72-1.76, p=0.615, Recessive model OR = 1.12, 95% CI: 0.70-2.15, p=0.486, and Dominant model OR = 1.14, 95%CI: 0.64-2.04, p=0.659, Figure 3-5) Conclusions: There is no association between the polymorphism of MMP-1 (-1607 1G/2G) (rs1799750) polymorphism with the risk of knee osteoarthritis, a large number of studies may be necessary to verify this association in different populations and environmental factors.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2020 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-Ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Original Data ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility. Methods: Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software. Results: In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95 % CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001). Conclusions: This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2019 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Original Data ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility.Methods Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software.Results In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95% CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001).Conclusions This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

Sign in / Sign up

Export Citation Format

Share Document