Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America; Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, United States of America; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Genet Epidemiol. 2014 Apr;38(3):254-64. doi: 10.1002/gepi.21796. Epub 2014 Feb 24.
The objectives of this study were to determine if global DNA methylation, as reflected in LINE-1 and Alu elements, is associated with telomere length and whether it modifies the rate of telomeric change. A repeated-measures longitudinal study was performed with a panel of 87 boilermaker subjects. The follow-up period was 29 months. LINE-1 and Alu methylation was determined using pyrosequencing. Leukocyte relative telomere length was assessed via real-time qPCR. Linear-mixed models were used to estimate the association between DNA methylation and telomere length. A structural equation model (SEM) was used to explore the hypothesized relationship between DNA methylation, proxies of particulate matter exposure, and telomere length at baseline. There appeared to be a positive association between both LINE-1 and Alu methylation levels, and telomere length. For every incremental increase in LINE-1 methylation, there was a statistically significant 1.0 × 10(-1) (95% CI: 4.6 × 10(-2), 1.5 × 10(-1), P < 0.01) unit increase in relative telomere length, controlling for age at baseline, current and past smoking status, work history, BMI (log kg/m(2) ) and leukocyte differentials. Furthermore, for every incremental increase in Alu methylation, there was a statistically significant 6.2 × 10(-2) (95% CI: 1.0 × 10(-2), 1.1 × 10(-1), P = 0.02) unit increase in relative telomere length. The interaction between LINE-1 methylation and follow-up time was statistically significant with an estimate -9.8 × 10(-3) (95% CI: -1.8 × 10(-2), -1.9 × 10(-3), P = 0.02); suggesting that the rate of telomeric change was modified by the degree of LINE-1 methylation. No statistically significant association was found between the cumulative PM exposure construct, with global DNA methylation and telomere length at baseline.
本研究的目的是确定 LINE-1 和 Alu 元件反映的全球 DNA 甲基化是否与端粒长度相关,以及它是否能改变端粒变化的速度。对 87 名锅炉制造商的样本进行了重复测量的纵向研究。随访时间为 29 个月。使用焦磷酸测序法测定 LINE-1 和 Alu 甲基化。通过实时 qPCR 评估白细胞相对端粒长度。线性混合模型用于估计 DNA 甲基化与端粒长度之间的关联。结构方程模型(SEM)用于探索 DNA 甲基化、颗粒物暴露的代表物与基线端粒长度之间假设的关系。LINE-1 和 Alu 甲基化水平与端粒长度之间似乎存在正相关。LINE-1 甲基化每增加一个单位,相对端粒长度就会有统计学意义地增加 1.0×10(-1)(95%CI:4.6×10(-2),1.5×10(-1),P<0.01),控制基线时的年龄、当前和过去的吸烟状况、工作史、BMI(log kg/m(2))和白细胞分类。此外,Alu 甲基化每增加一个单位,相对端粒长度就会有统计学意义地增加 6.2×10(-2)(95%CI:1.0×10(-2),1.1×10(-1),P=0.02)。LINE-1 甲基化与随访时间之间的相互作用具有统计学意义,估计值为-9.8×10(-3)(95%CI:-1.8×10(-2),-1.9×10(-3),P=0.02);这表明端粒变化的速度受到 LINE-1 甲基化程度的影响。在基线时,PM 暴露累积构建物与全球 DNA 甲基化和端粒长度之间没有发现统计学显著的关联。