Cerebral blood flow as intermediary between cardiovascular and cerebrovascular health: results from the Insight46 study

IF 1.9 Q3 CLINICAL NEUROLOGY Cerebral circulation - cognition and behavior Pub Date : 2024-01-01 DOI:10.1016/j.cccb.2024.100261
Mathijs Dijsselhof , Sarah- Naomi James , Luigi Lorenzini , Lyduine Collij , David Thomas , Catherine Scott , Emily Manning , Tamás Józsa , Dave Cash , Insight 46 study team , Carole Sudre , Alun Hughes , Marcus Richards , Frederik Barkhof , Jonathan Schott , Jan Petr , Henk Mutsaerts
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Abstract

Introduction

Mid-life cardiovascular and late-life structural cerebrovascular pathology play a major role in accelerating cognitive decline in normal aging and dementia. Cerebral blood flow (CBF) may be a critical intermediate biomarker of future cognitive decline, however our understanding of normal CBF variability and its relation with mid-life cardiovascular and late-life structural cerebrovascular parameters is limited. The MRC National Survey of Health and Development neuroimaging sub-study ‘Insight 46’ provides a unique opportunity to study the effects of cardiovascular and cerebrovascular health on CBF in a cohort with a fixed chronological age. We explored associations of life-long cardiovascular parameters and WMH volume with ASL MRI CBF in this cognitively healthy population-based sample.

Methods

3D T1-weighted, FLAIR, and pseudo-continuous ASL (labeling duration = 1800ms; post-labelling delay = 1800ms) data (3T) were acquired in 295 participants (Table 1). Clinical data included systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), pulse pressure (PP), and the Framingham Risk Score (FRS). MRI scans were processed with ExploreASL. Grey matter (GM), white matter (WM) and white matter hyperintensity (WMH) volume were segmented from the T1w and FLAIR images. ASL- derived partial volume-corrected CBF and the spatial coefficient of variation (sCoV) were obtained in whole-brain GM and WM. Linear regression models examined associations between life-long cardiovascular health (ages 43, 53, 60-64, 69, and 69-71 years), ASL metrics (at 69-71 years), and WMH load (at 69-71 years). Models were corrected for sex, and sex interactions were tested if applicable.

Results

While mid-life cardiovascular parameters were associated with late-life sCoV and CBF, the strongest associations were seen at 69-71 years. At this time point, higher SBP and MAP were associated with lower GM CBF in men (1A-B, β=-0.16,-0.28) and relatively stable GM CBF in women (1A-B, β=0.02,-0.02); higher DBP was associated with lower GM CBF (β=-0.18). Higher WMH volume was related to higher GM and WM CBF (2A-B, β=2.04,1.45), and lower GM and WM sCoV (2C-D, β=-0.04,0.05).

Discussion

These sex-dependent associations encourage further investigation into the potential mediatory role of CBF between mid-life cardiovascular and late-life structural decline of cerebrovascular health, leading to cognitivexxxxx

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脑血流量是心血管和脑血管健康的中介:Insight46 研究的结果
导言中年心血管和晚年脑血管结构性病变在加速正常衰老和痴呆的认知能力衰退方面起着重要作用。脑血流量(CBF)可能是未来认知能力下降的一个关键中间生物标志物,但我们对正常CBF变异性及其与中年心血管和晚年脑血管结构参数的关系了解有限。英国医学研究理事会全国健康与发展调查神经成像子研究 "洞察 46 "提供了一个独特的机会,可以在一个具有固定年龄的队列中研究心血管和脑血管健康对 CBF 的影响。我们在这一认知健康人群样本中探索了终生心血管参数和 WMH 体积与 ASL MRI CBF 的关联。方法在 295 名参与者(表 1)中获取了三维 T1 加权、FLAIR 和伪连续 ASL(标记持续时间 = 1800ms;标记后延迟 = 1800ms)数据(3T)。临床数据包括收缩压(SBP)、舒张压(DBP)、平均动脉压(MAP)、脉压(PP)和弗雷明汉风险评分(FRS)。MRI 扫描用 ExploreASL 进行处理。从 T1w 和 FLAIR 图像中分割出灰质(GM)、白质(WM)和白质高密度(WMH)体积。ASL 导出的部分体积校正 CBF 和空间变异系数 (sCoV) 被用于全脑 GM 和 WM。线性回归模型检验了终生心血管健康状况(43、53、60-64、69 和 69-71 岁)、ASL 指标(69-71 岁)和 WMH 负荷(69-71 岁)之间的关联。结果中年期心血管参数与晚年sCoV和CBF相关,69-71岁时相关性最强。在这个时间点,男性较高的 SBP 和 MAP 与较低的 GM CBF 相关(1A-B,β=-0.16,-0.28),而女性则与相对稳定的 GM CBF 相关(1A-B,β=0.02,-0.02);较高的 DBP 与较低的 GM CBF 相关(β=-0.18)。讨论这些性别依赖性关联鼓励人们进一步研究 CBF 在中年心血管和晚年脑血管健康结构性衰退之间的潜在中介作用,从而导致认知能力xxxxxx
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来源期刊
Cerebral circulation - cognition and behavior
Cerebral circulation - cognition and behavior Neurology, Clinical Neurology
CiteScore
2.00
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审稿时长
14 weeks
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