Department of Occupational and Environmental Health, School of Public Health, Zhengzhou University, Environment and Health Innovation Team, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China.
Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou, 45001, China.
Biol Trace Elem Res. 2022 Feb;200(2):543-550. doi: 10.1007/s12011-021-02705-2. Epub 2021 Apr 12.
To evaluate the association between selenoprotein gene polymorphisms and Kashin-Beck disease (KBD) susceptibility through a systematic review and updated meta-analysis. PubMed, Google Scholar, Cochrane library, and Chinese National Knowledge Infrastructure (CNKI) were electronically searched using the terms "selenoprotein" and "Kashin-Beck disease" or "KBD" with a search time from the establishment of the database to January 2021. The Newcastle-Ottawa Scale (NOS) was used for methodological quality evaluation of the included studies. Stata 14.0 software was used to pooled odds ratio (OR) and 95% confidence interval. There were a total of eight included case-control studies covering 2025 KBD patients and 1962 controls. Meta-analysis results show that the pooled odds ratios (OR) and 95% confidence intervals (CI) for DIO2 (rs225014) were 0.69 (0.52, 0.91), 0.69 (0.50, 0.96), and 0.72 (0.52, 0.99) in the allele, heterozygote, and dominant models, respectively. The OR and 95%CI for SEPS1 (-105G>A) were 2.47 (1.85, 3.29), 9.36 (4.58, 19.12), 2.17 (1.53, 3.08), and 8.60 (4.25, 17.38) in the allele, homozygote, dominant, and recessive models, respectively. In addition, the OR and 95%CI for Sep15 (rs5859) were 2.05 (1.06, 3.96) in the allele model. These results illustrate that there was a significant association between DIO2 (rs225014), SEPS1 (-105G>A), Sep15 (rs5859), and KBD. For GPX1 (rs1050450, rs1800668, rs3811699), DIO2 (rs225014, rs1352815, rs1388382), TrxR2 (rs1139793, rs5746841), GPX4 (rs713041, rs4807542), and SEPP1 (rs7579, 25191g/a), there was no significant statistical difference between the KBD and control groups (P>0.05). We conclude that the DIO2 (rs225014), SEPS1 (-105G>A), and Sep15 (rs5859) gene polymorphism are associated with susceptibility to KBD.
为了通过系统评价和更新的荟萃分析评估硒蛋白基因多态性与大骨节病（KBD）易感性之间的关联。使用术语“硒蛋白”和“大骨节病”或“KBD”通过电子搜索 PubMed、Google Scholar、Cochrane 图书馆和中国国家知识基础设施（CNKI），搜索时间从数据库建立到 2021 年 1 月。使用纽卡斯尔-渥太华量表（NOS）对纳入研究的方法学质量进行评估。使用 Stata 14.0 软件汇总优势比（OR）和 95%置信区间。共有 8 项纳入的病例对照研究，共纳入 2025 名 KBD 患者和 1962 名对照。荟萃分析结果表明，DIO2（rs225014）的合并优势比（OR）和 95%置信区间（CI）分别为 0.69（0.52，0.91）、0.69（0.50，0.96）和 0.72（0.52，0.99）在等位基因、杂合子和显性模型中。SEPS1（-105G>A）的 OR 和 95%CI 为 2.47（1.85，3.29）、9.36（4.58，19.12）、2.17（1.53，3.08）和 8.60（4.25，17.38）在等位基因、纯合子、显性和隐性模型中，分别。此外，Sep15（rs5859）的 OR 和 95%CI 为等位基因模型中的 2.05（1.06，3.96）。这些结果表明，DIO2（rs225014）、SEPS1（-105G>A）、Sep15（rs5859）和 KBD 之间存在显著关联。对于 GPX1（rs1050450、rs1800668、rs3811699）、DIO2（rs225014、rs1352815、rs1388382）、TrxR2（rs1139793、rs5746841）、GPX4（rs713041、rs4807542）和 SEPP1（rs7579、25191g/a），KBD 组和对照组之间没有统计学差异（P>0.05）。我们得出结论，DIO2（rs225014）、SEPS1（-105G>A）和 Sep15（rs5859）基因多态性与 KBD 的易感性相关。
