Associations Between TNFAIP3 Gene Polymorphisms and Rheumatoid Arthritis Risk: A Meta-analysis

2017 ◽  
Vol 48 (4) ◽  
pp. 386-392 ◽  
Author(s):  
Liang Zhang ◽  
Xier Yuan ◽  
Qiang Zhou ◽  
Jiujun Shi ◽  
Zhoufeng Song ◽  
...  
2012 ◽  
Vol 61 (6) ◽  
pp. 635-641 ◽  
Author(s):  
Young Ho Lee ◽  
Sang-Cheol Bae ◽  
Sung Jae Choi ◽  
Jong Dae Ji ◽  
Gwan Gyu Song

2013 ◽  
Vol 43 (2) ◽  
pp. 97-112 ◽  
Author(s):  
Gwan Gyu Song ◽  
Sang-Cheol Bae ◽  
Jae-Hoon Kim ◽  
Young Ho Lee

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Tomoya Ohno ◽  
Dagfinn Aune ◽  
Alicia K. Heath

Abstract Several studies have investigated associations between overweight/obesity and risk of developing rheumatoid arthritis, however, the evidence is not entirely consistent, and previous meta-analyses mainly included case–control studies, which can be affected by various biases. We therefore conducted a systematic review and meta-analysis of cohort studies on adiposity and risk of rheumatoid arthritis. Relevant studies were identified by searching PubMed and Embase databases. Random effects models were used to estimate summary relative risks (RRs) and 95% confidence intervals (CIs) for rheumatoid arthritis in relation to different measures of adiposity. Thirteen cohort studies (10 publications) were included. The summary RR per 5 kg/m2 increase in body mass index (BMI) was 1.11 (95% CI 1.05–1.18, I2 = 50%), but the association was restricted to women (1.15, 95% CI 1.08–1.21, I2 = 17%) and not observed in men (0.89, 95% CI 0.73–1.09, I2 = 58%). The summary RR per 5 kg/m2 increment in BMI at age 18 years was 1.17 (95% CI 1.01–1.36, I2 = 26%, n = 3), and per 10 cm increase in waist circumference was 1.13 (95% CI 1.02–1.25, I2 = 44%, n = 2). Higher BMI in middle age, BMI at age 18 years, and waist circumference were associated with increased rheumatoid arthritis risk, suggesting adiposity could be targeted for primary prevention.


2015 ◽  
Vol 76 (8) ◽  
pp. 565-570 ◽  
Author(s):  
Xiaona Li ◽  
Qing Xia ◽  
Dazhi Fan ◽  
Guoqi Cai ◽  
Xiao Yang ◽  
...  

2019 ◽  
Vol 39 (6) ◽  
Author(s):  
Haoyu Yang ◽  
Weixi Liu ◽  
Xindie Zhou ◽  
Huan Rui ◽  
Hui Zhang ◽  
...  

Abstract The receptor activator of nuclear factor-κB (RANK) and the osteoprotegerin (OPG) cascade system have been reported to be essential in osteoclastogenesis. In recent years, several studies have investigated the association between polymorphisms of RANK, its ligand RANKL and OPG genes and the risk of rheumatoid arthritis (RA) in different populations. However, the results arising from these studies were conflicting. To determine the association between RANK, RANKL and OPG gene polymorphisms and the risk of RA. We conducted a hospital-based case-controlled study in Changzhou with 574 RA cases and 804 controls. The genotyping of RANK gene rs1805034 polymorphism was conducted by single base extension combined with matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS). We also undertook a meta-analysis of the literature referring to polymorphisms of RANK, RANKL and OPG genes and RA risk. This case-controlled study found that the polymorphism in the RANK gene rs1805034 was not related to RA risk. Stratification analyses by sex and age suggested that RANK gene rs1805034 polymorphism was not associated with the risk of RA among groups of male, female, age ≤ 55 and age > 55. Our meta-analysis found that the rs2277438 polymorphism in RANKL gene increased the risk of RA, whereas RANK gene rs1805034, OPG gene rs3102735, OPG gene rs2073618, OPG gene rs3134069 polymorphisms were not related to RA susceptibility. In conclusion, this case-controlled study and meta-analysis indicated that the RANKL gene rs2277438 polymorphism increased the RA risk, and that RANK gene rs1805034, OPG gene rs3102735, OPG gene rs2073618, OPG gene rs3134069 polymorphisms were not related to RA risk.


2020 ◽  
Vol 11 ◽  
pp. 204062232091602 ◽  
Author(s):  
Jing Huang ◽  
Huizhen Fan ◽  
Qi Qiu ◽  
Kunpeng Liu ◽  
Shuang Lv ◽  
...  

Aims: We performed an updated meta-analysis to verify correlations between gene polymorphisms and adverse events in methotrexate (MTX)-treated rheumatoid arthritis (RA) patients. Then, we conducted a retrospective cohort study of Han Chinese in China. Methods: Relevant studies were collected from the PubMed database and the EMBASE database until December 2017. Pre-allele, dominant, recessive, codominant, and homozygotic models were applied. In addition, a retrospective cohort study enrolling 162 RA patients treated with MTX was conducted. Single nucleotide polymorphism (SNP) genotyping was analyzed by PCR and product sequencing. Results: A total of 39 studies were included in 20 meta-analyses; meta-analysis showed a significant association between MTX-related toxicity and 5,10-methylenetetrahydrofolate reductase (MTHFR) 677C>T(rs1801133) polymorphism in East Asian RA patients, and significant associations were observed between MTX-related toxicity and 5-aminoimidazole-4-carboxamide ribonucleotide formyltransferase/IMP cyclohydrolase (ATIC) 347C>G (rs2372536), reduced folate carrier 1 (RFC-1) 80G>A (rs1051266), and adenosine triphosphate-binding cassette B1 (ABCB1) 3435C>T(rs1045642) polymorphisms in European RA patients but not in East Asian RA patients. Moreover, in our retrospective cohort study, ATIC 347C>G(rs2372536) and ABCB1 3435C>T(rs1045642) polymorphisms were not associated with MTX-related toxicity. However, a significant association was observed between MTX-related toxicity and RFC-1 80G>A (rs1051266) polymorphism in Chinese Han RA patients. Conclusion: Evidence-based results suggest that the MTHFR 677C>T(rs1801133), ATIC 347C>G(rs2372536), RFC-1 80G>A (rs1051266), ABCB1 3435C>T(rs1045642) polymorphisms are associated with MTX-related toxicity. Larger and more stringent study designs may provide more accurate findings for the effects of these SNPs on MTX-related toxicity, and larger sample-size studies of the Chinese Han population should be conducted for further validation.


2020 ◽  
Vol 39 (8) ◽  
pp. 2267-2279 ◽  
Author(s):  
Zahra Bagheri-Hosseinabadi ◽  
Danyal Imani ◽  
Hassan Yousefi ◽  
Mitra Abbasifard

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