The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland.
Italian Institute for Genomic Medicine (IIGM, former HuGeF), Italy.
Psychoneuroendocrinology. 2019 Jun;104:64-73. doi: 10.1016/j.psyneuen.2019.02.018. Epub 2019 Feb 16.
Individuals of lower socio-economic position (SEP) carry a heavier burden of disease and morbidity and live shorter lives on average compared with their more advantaged counterparts. This has sparked research interest in the processes and mechanisms via which social adversity gets biologically embedded. The present study directly compares the empirical worth of two candidate mechanisms: Allostatic Load (AL) and the Epigenetic Clock(s) for advancing our understanding of embodiment using a sub-sample of 490 individuals from the Irish Longitudinal Study (TILDA) who were explicitly selected for this purpose based on their inter-generational life course social class trajectory. A battery of 14 biomarkers representing the activity of 4 different physiological systems: Immunological, Cardiovascular, Metabolic, and Renal was used to construct the AL score. Biomarkers were dichotomised into high and low risk groups according to sex-specific quartiles of risk and summed to create a count ranging from 0-14. Three measures of epigenetic age acceleration were computed according to three sets of age-associated Cytosine-phosphate-Guanine (CpG) sites described by Horvath, Hannum and Levine. AL was strongly socially patterned across a number of measures of SEP, while the epigenetic clocks were not. AL partially mediated the association between measures of SEP and an objective measure of physiological functioning: performance on the Timed Up and Go (TUG test). We conclude that AL may represent the more promising candidate for understanding the pervasive link between SEP and health.
与社会经济地位较高的人相比,社会经济地位较低的个体患疾病和发病的负担更重,平均寿命也更短。这引发了人们对社会逆境通过何种过程和机制在生物学上扎根的研究兴趣。本研究直接比较了两种候选机制的实证价值:适应负荷(AL)和表观遗传时钟,以利用爱尔兰纵向研究(TILDA)中的 490 名个体的子样本来推进对体现的理解,这些个体是根据其代际社会阶级轨迹明确选择的。一组 14 种生物标志物用于构建 AL 评分,代表 4 种不同生理系统的活动:免疫、心血管、代谢和肾脏。根据风险的性别特异性四分位,将生物标志物分为高风险和低风险组,并根据风险的性别特异性四分位进行分组,将生物标志物分为高风险和低风险组,并将其相加,得出一个 0-14 的计数。根据 Horvath、Hannum 和 Levine 描述的三组与年龄相关的胞嘧啶磷酸鸟嘌呤(CpG)位点,计算了三种表观遗传年龄加速的衡量标准。AL 在许多社会经济地位(SEP)的衡量标准上表现出很强的社会性模式,而表观遗传时钟则没有。AL 部分中介了 SEP 衡量标准与生理功能客观衡量标准(计时走)之间的关联。我们得出的结论是,AL 可能是理解社会经济地位和健康之间普遍联系的更有前途的候选者。