From the Melbourne Dementia Research Centre (M.P.P.), the Florey Institute for Neuroscience and Mental Health, the University of Melbourne, Australia; Department of Neurology (M.P.P., J.J.H., C.L.S., H.A., S.S., A.S.B), Boston University School of Medicine; Framingham Heart Study (M.P.P., K.D-.P., J.J.H., H.A., S.S., A.S.B., C.D.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (K.D.-P., J.J.H., A.S.B.), Boston University School of Public Health, MA; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (C.L.S., S.S., C.D.), University of Texas Health Sciences Center, San Antonio; and Department of Neurology, School of Medicine & Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California Davis, Sacramento.
Neurology. 2018 Oct 16;91(16):e1479-e1486. doi: 10.1212/WNL.0000000000006360. Epub 2018 Sep 19.
Given the potential therapeutic effect of vascular disease control timing to reduce dementia risk, we investigated the age-related influences of vascular risk factor burden on brain structure throughout the lifespan.
We studied participants from the community-based prospective Framingham Heart Study. Overall vascular risk factor burden was calculated according to the Framingham Stroke Risk Profile, a validated algorithm that predicts stroke risk. Brain volume was estimated by MRI. We used cross-sectional data to examine how the strength of association between vascular risk factor burden and brain volume changed across each age decade from age 45-54 years through to 85-94 years (N = 2,887). Second, we leveraged up to 40 years of longitudinal data to determine how the strength of association between vascular risk factor burden and brain volume changed when vascular risk factors were examined at progressively earlier ages (N = 7,868).
In both cross-sectional and longitudinal analyses, higher vascular risk factor burden was associated with lower brain volume across each age decade. In the cross-sectional analysis, the strength of this association decreased with each decade of advancing age ( for trend < 0.0001). In longitudinal analysis, the strength of association between vascular risk factor burden and brain volume was stronger when vascular risk factors were measured at younger ages. For example, vascular risk factor burden was most strongly associated with lower brain volume in later life when vascular risk factors were measured at age 45 years.
Vascular risk factors at younger ages appear to have detrimental effects on current and future brain volume.
鉴于控制血管疾病时机可能对降低痴呆风险具有治疗作用,我们研究了血管危险因素负担随年龄增长对整个生命周期大脑结构的影响。
我们研究了来自社区为基础的前瞻性弗雷明汉心脏研究的参与者。根据弗雷明汉卒中风险评分计算总体血管危险因素负担,这是一种预测卒中风险的经过验证的算法。通过 MRI 估计脑容量。我们使用横断面数据来检查血管危险因素负担与脑容量之间的关联强度如何在从 45-54 岁到 85-94 岁的每个年龄十年内发生变化(N=2887)。其次,我们利用多达 40 年的纵向数据来确定当血管危险因素在更早的年龄进行检查时,血管危险因素负担与脑容量之间的关联强度如何发生变化(N=7868)。
在横断面和纵向分析中,较高的血管危险因素负担与每个年龄十年的脑容量较低相关。在横断面分析中,这种关联的强度随着年龄的每十年增加而降低(趋势<0.0001)。在纵向分析中,当血管危险因素在更年轻时测量时,血管危险因素负担与脑容量之间的关联强度更强。例如,当血管危险因素在 45 岁时测量时,血管危险因素负担与脑容量的关联在晚年与较低的脑容量最为密切相关。
年轻时的血管危险因素似乎对当前和未来的脑容量有不利影响。