Han Lilin, Lu Shujiao, Ning Haiming
Department of Dermatology, Lishui People's Hospital, Lishui, Zhejiang Province, China.
Postepy Dermatol Alergol. 2021 Oct;38(5):808-814. doi: 10.5114/ada.2020.95956. Epub 2020 Jun 25.
Whether Th1-related cytokine polymorphisms influence the risk of atopic dermatitis (AD) remain inconclusive.
The authors performed a meta-analysis to robustly explore relationships between Th1-related cytokine polymorphisms and the risk of AD by merging the results of eligible publications.
The authors strictly adhere to the PRISMA guidelines in study design and implementation. A thorough literature search in Medline, Embase, Wanfang, VIP and CNKI was performed by the authors to identify eligible publications. Relationships between α/// polymorphisms and the risk of AD were estimated with odds ratio and its 95% confidence interval. The statistically significant p value was set at 0.05. The quality of eligible publications was assessed by the Newcastle-Ottawa scale (NOS).
In total twenty-one publications with a NOS score of 7-8 were selected for merged quantitative analyses. We have noticed that genotypic frequencies of +3954 C/T and -137G/C polymorphisms among cases with AD and population-based controls differed significantly. Moreover, we have found that genotypic frequency of +3954 C/T polymorphism among cases with AD and population-based controls of Caucasian origin differed significantly, and genotypic frequency of -137G/C polymorphism among cases with AD and population-based controls of both Caucasian and Asian origins also differed significantly. However, we did not observe such genotypic distribution differences for α -238 G/A, α -308 G/A, -889 C/T, - C/T and -174 G/C polymorphisms.
The present meta-analysis shows that +3954 C/T and -137G/C polymorphisms may affect the risk of AD.
1型辅助性T细胞（Th1）相关细胞因子多态性是否会影响特应性皮炎（AD）的发病风险尚无定论。
作者进行了一项荟萃分析，通过合并符合条件的出版物的结果，深入探讨Th1相关细胞因子多态性与AD发病风险之间的关系。
作者在研究设计和实施过程中严格遵循系统评价和荟萃分析的首选报告项目（PRISMA）指南。作者在医学文献数据库（Medline）、荷兰医学文摘数据库（Embase）、万方数据库、维普资讯网和中国知网进行了全面的文献检索，以确定符合条件的出版物。采用比值比及其95%置信区间评估α///多态性与AD发病风险之间的关系。设定统计学显著性P值为0.05。采用纽卡斯尔-渥太华量表（NOS）评估符合条件的出版物的质量。
共选择了21篇NOS评分为7-8的出版物进行合并定量分析。我们注意到，AD患者与基于人群的对照组之间，+3954 C/T和-137G/C多态性的基因型频率存在显著差异。此外，我们发现，白种人AD患者与基于人群的对照组之间，+3954 C/T多态性的基因型频率存在显著差异，白种人和亚洲人AD患者与基于人群的对照组之间，-137G/C多态性的基因型频率也存在显著差异。然而，对于α -238 G/A、α -308 G/A、-889 C/T、- C/T和-174 G/C多态性，我们未观察到此类基因型分布差异。
本荟萃分析表明，+3954 C/T和-137G/C多态性可能会影响AD的发病风险。
