Yawen Zhu, Ai Qian, Yuanyuan Cheng, Ming Li, Chuanbing Huang
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引用次数: 0
Abstract
Objective: Autoimmune diseases (ADs) result from an aberrant immune response, in which the body mistakenly targets its own tissues. The association between TGF-β1 gene polymorphisms and risk of developing autoimmune diseases remains to be established. This meta-analysis aimed to reassess the relationship between TGF-β1 T869C gene polymorphisms and susceptibility to autoimmune diseases.
Methods: We conducted a comprehensive search of seven electronic databases for case-control studies investigating the TGF-β1 T869C polymorphism in relation to autoimmune diseases, including rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis, Sjögren's syndrome, and juvenile idiopathic arthritis. The search encompassed publications published up to June 2024. Studies were categorized by ethnicity into three groups: Asian, Caucasian, and mixed-ethnicity groups. Five different genetic models were assessed, and the quality of the included studies was evaluated using the Newcastle-Ottawa Scale (NOS). Statistical analyses were performed using Stata 14.0, by calculating the odds ratio (OR) and 95% confidence interval (CI).
Results: A total of 32 case-control studies (31 articles), comprising 4,304 cases and 4,664 controls, were included in this meta-analysis. The overall analysis indicated no significant association between TGF-β1 T869C gene polymorphism and susceptibility to autoimmune diseases. However, subgroup analyses based on race and disease status revealed significant associations. Ethnic subgroup analysis showed that the TGF-β1 T869C allele model (T vs C: OR = 1.422, 95% CI = 1.109-1.824, P = 0.006), homozygous model (TT vs CC: OR = 1.923, 95% CI = 1.232-3.004, P = 0.004), and dominant model (TT + TC vs CC: OR = 1.599, 95% CI = 1.164-2.196, P = 0.004) were associated with autoimmune disease susceptibility in Asians. In the disease subgroup analysis, the results showed that the TGF-β1 T869C allele model (T vs C: OR = 1.468, 95% CI = 1.210-1.781, P = 0.000), recessive model (TT vs TC + CC: OR = 1.418, 95% CI = 1.097-1.832, P = 0.008), dominant model (TT + TC vs CC: OR = 1.747, 95% CI = 1.330-2.295, P = 0.000), homozygous model (TT vs CC: OR = 1.937, 95% CI = 1.373-2.734, P = 0.000), and heterozygous model (TC vs CC: OR = 1.555, 95% CI = 1.199-2.016, P = 0.001) were associated with rheumatoid arthritis susceptibility.
Conclusion: The findings of this meta-analysis suggest that carrying the T allele of the TGF-β1 T869C polymorphism increases the risk of autoimmune diseases in Asian populations. Moreover, individuals carrying the T allele are at higher risk of developing rheumatoid arthritis.
目的:自身免疫性疾病(ADs)是由机体错误地靶向自身组织的异常免疫反应引起的。TGF-β1基因多态性与自身免疫性疾病发生风险之间的关系尚待确定。本荟萃分析旨在重新评估TGF-β1 T869C基因多态性与自身免疫性疾病易感性之间的关系。方法:我们对7个电子数据库进行了全面检索,研究TGF-β1 T869C多态性与自身免疫性疾病的关系,包括类风湿关节炎、系统性红斑狼疮、系统性硬化症、Sjögren综合征和青少年特发性关节炎。搜索包括截至2024年6月发表的出版物。研究按种族分为三组:亚洲人、高加索人和混合种族。评估了五种不同的遗传模型,并使用纽卡斯尔-渥太华量表(NOS)评估纳入研究的质量。采用Stata 14.0进行统计分析,计算优势比(OR)和95%置信区间(CI)。结果:本meta分析共纳入32项病例对照研究(31篇),包括4,304例病例和4,664例对照。整体分析显示TGF-β1 T869C基因多态性与自身免疫性疾病易感性无显著相关性。然而,基于种族和疾病状态的亚组分析显示了显著的关联。人种亚组分析显示,TGF-β1 T869C等位基因模型(T vs C: OR = 1.422, 95% CI = 1.109 ~ 1.824, P = 0.006)、纯合子模型(TT vs CC: OR = 1.923, 95% CI = 1.232 ~ 3.004, P = 0.004)和显性模型(TT + TC vs CC: OR = 1.599, 95% CI = 1.164 ~ 2.196, P = 0.004)与亚洲人自身免疫性疾病易感性相关。疾病的亚组分析,结果表明,TGF -β1 T869C等位基因模型(T vs C:或= 1.468,95% CI -1.781 = 1.210, P = 0.000),隐性模型(TT和TC + CC: = 1.418, 95% CI -1.832 = 1.097, P = 0.008),占主导地位的模式(TT + TC vs CC: = 1.747, 95% CI -2.295 = 1.330, P = 0.000),纯合子模型(TT vs CC:或= 1.937,95% CI -2.734 = 1.373, P = 0.000),和杂合的模型(TC vs CC:OR = 1.555, 95% CI = 1.199-2.016, P = 0.001)与类风湿关节炎易感性相关。结论:本荟萃分析的结果表明,携带TGF-β1 T869C多态性的T等位基因增加了亚洲人群自身免疫性疾病的风险。此外,携带T等位基因的个体患类风湿关节炎的风险更高。
Frontiers in GeneticsBiochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍:
Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public.
The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.