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衰老过程中应激激素负荷预测灰质体积和白质完整性:Whitehall II MRI 研究。

Allostatic load as a predictor of grey matter volume and white matter integrity in old age: The Whitehall II MRI study.

机构信息

Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK.

Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK.

出版信息

Sci Rep. 2018 Apr 23;8(1):6411. doi: 10.1038/s41598-018-24398-9.

Abstract

The allostatic load index quantifies the cumulative multisystem physiological response to chronic everyday stress, and includes cardiovascular, metabolic and inflammatory measures. Despite its central role in the stress response, research of the effect of allostatic load on the ageing brain has been limited. We investigated the relation of mid-life allostatic load index and multifactorial predictors of stroke (Framingham stroke risk) and diabetes (metabolic syndrome) with voxelwise structural grey and white matter brain integrity measures in the ageing Whitehall II cohort (N = 349, mean age = 69.6 (SD 5.2) years, N (male) = 281 (80.5%), mean follow-up before scan = 21.4 (SD 0.82) years). Higher levels of all three markers were significantly associated with lower grey matter density. Only higher Framingham stroke risk was significantly associated with lower white matter integrity (low fractional anisotropy and high mean diffusivity). Our findings provide some empirical support for the concept of allostatic load, linking the effect of everyday stress on the body with features of the ageing human brain.

摘要

应激多系统负荷指数定量评估了慢性日常压力对多系统生理反应的累积效应,其中包括心血管、代谢和炎症指标。尽管应激反应的中心角色,但是对于应激多系统负荷指数对衰老大脑的影响的研究一直很有限。我们在 Whitehall II 队列(N=349,平均年龄 69.6(SD 5.2)岁,N(男性)=281(80.5%),扫描前平均随访时间 21.4(SD 0.82)年)中,研究了中年应激多系统负荷指数以及中风(Framingham 中风风险)和糖尿病(代谢综合征)的多因素预测因素与脑灰质和白质结构完整性的体素水平测量之间的关系。三种标志物水平越高,与灰质密度越低显著相关。只有Framingham 中风风险较高与白质完整性降低(低各向异性分数和高平均弥散度)显著相关。我们的研究结果为应激多系统负荷概念提供了一些经验支持,将日常压力对身体的影响与人类衰老大脑的特征联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da0c/5913085/a9ddd2bc2de5/41598_2018_24398_Fig1_HTML.jpg

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