Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA.
Center for Family Research, University of Georgia, Athens, GA 30602, USA.
Genes (Basel). 2019 Jan 15;10(1):51. doi: 10.3390/genes10010051.
A number of studies have examined the relationship of indices of epigenetic aging (EA) to key health outcomes. Unfortunately, our understanding of the relationship of EA to mortality and substance use-related health variables is unclear. In order to clarify these interpretations, we analyzed the relationship of the Levine EA index (LEA), as well as established epigenetic indices of cigarette (cg05575921) and alcohol consumption (cg04987734), to all-cause mortality in the Framingham Heart Study Offspring Cohort ( = 2256) Cox proportional hazards regression. We found that cg05575921 and cg04987734 had an independent effect relative to LEA and vice versa, with the model including all the predictors having better performance than models with either LEA or cg05575921 and cg04987734 alone. After correction for multiple comparisons, 195 and 327, respectively, of the 513 markers in the LEA index, as well as the overall index itself, were significantly associated with cg05575921 and cg04987734 methylation status. We conclude that the epigenetic indices of substance use have an independent effect over and above LEA, and are slightly stronger predictors of mortality in head-to-head comparisons. We also conclude that the majority of the strength of association conveyed by the LEA is secondary to smoking and drinking behaviors, and that efforts to promote healthy aging should continue to focus on addressing substance use.
许多研究都探讨了表观遗传衰老(EA)指数与关键健康结果之间的关系。不幸的是,我们对 EA 与死亡率和与物质使用相关的健康变量之间关系的理解尚不清楚。为了澄清这些解释,我们分析了 Levine EA 指数(LEA)以及已建立的香烟(cg05575921)和酒精消耗(cg04987734)的表观遗传指数与弗雷明汉心脏研究后代队列(n = 2256)的全因死亡率之间的关系。我们发现,cg05575921 和 cg04987734 相对于 LEA 具有独立的影响,反之亦然,包括所有预测因子的模型比仅包含 LEA 或 cg05575921 和 cg04987734 的模型具有更好的性能。在进行多次比较的校正后,LEA 指数中的 513 个标记物中的 195 个和整体指数本身分别与 cg05575921 和 cg04987734 的甲基化状态显著相关。我们得出结论,物质使用的表观遗传指数独立于 LEA,并且在头对头比较中是死亡率的稍强预测因子。我们还得出结论,LEA 所传达的关联强度的大部分归因于吸烟和饮酒行为,并且促进健康衰老的努力应继续集中于解决物质使用问题。