正常外观白质中的游离水含量可预测痴呆症患者的血管病变进展

IF 1.9 Q3 CLINICAL NEUROLOGY
Julie Ottoy , Joel Ramirez , Min Su Kang , Eric Yin , Miracle Ozzoude , Katherine Zukotynski , Walter Swardfager , Christopher Scott , Stephanie Berberian , Fuqiang Gao , Ginelle Feliciano , Lauren Abby Woods , Erin Gibson , Eric E. Smith , Nesrine Rahmouni , Joseph Therriault , Stijn Servaes , Robin Hsiung , Robert LaForce Jr. , Frank S. Prato , Maged Goubran
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引用次数: 0

摘要

导言脑小血管病(SVD)是老年人和痴呆症患者常见的并发病理。SVD 的神经影像学标志包括白质高密度(WMH)和磁共振成像可见血管周围间隙(PVS)。然而,这些标志物随时间发生变化的机制,无论是缺血性还是与β-淀粉样蛋白(Aβ)相关,仍然难以捉摸。在此,我们评估了正常外观白质中的微结构损伤和大脑皮层中的β对三年内WMH和PVS进展的影响:(i) TRIAD,由认知正常、MCI 和 AD 痴呆患者组成(基线:N=199,随访第 1 年和第 2 年:N=102 和 62);(ii) MITNEC-C6,由混合痴呆和中重度 WMH 负担的 "真实世界 "患者组成(基线:N=52,随访 2 年:N=25)。我们通过 FLAIR 和 T1w MRI 对全球 WMH 和 PVS 体积进行了量化。基线时,我们检查了这些体积与弥散 MRI 衍生自由水之间的关联。结果 在 TRIAD 和 MITNEC-C6 中,平均年龄分别为 72±6 岁和 77±8 岁,女性分别占 60% 和 42%,Aβ 阳性分别占 41% 和 48%。基线时,正常显示的白质中较高的游离水与较高的WMH体积(β_TRIAD=+0.34±0.06,P_TRIAD<0.001和β_MITNEC=+0.31±0.14,P_MITNEC=0.03)以及PVS总体积(β_TRIAD=+0.53±0.06,P_TRIAD<0.纵向来看,在 Aβ 阳性而非阴性个体中,正常显示的白质中较高的基线游离水(P_TRIAD<0.001 和 P_MITNEC=0.01)可预测 WMH 进展较快(图 1)。我们的研究结果支持游离水和 Aβ 在预测基于体积 MRI 的 SVD 标记的进展中的关键作用。未来的研究将探索其中的空间关系。此外,有必要进一步验证我们的 PVS 纵向分割工具,以支持游离水和 PVS 时间动态之间的潜在联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Free water levels in normal-appearing white matter predict vascular lesion progression in individuals with dementia

Introduction

Cerebral small vessel disease (SVD) is a common co-pathology in elderly and individuals with dementia. Neuroimaging markers of SVD include white matter hyperintensities (WMH) and MRI-visible perivascular spaces (PVS). However, the mechanisms underlying changes in these markers over time, whether ischemic or beta-amyloid (Aβ)-related, remain elusive. Here, we evaluated the effects of microstructural injury in the normal-appearing white matter and Aβ in the cerebral cortex on the progression of WMH and PVS over three years.

Methods

Data was obtained from two independent cohorts: (i) TRIAD, comprising cognitively normal, MCI, and AD dementia participants (baseline: N=199, follow-up year 1 and 2: N=102 and 62); and (ii) MITNEC-C6, comprising “real-world” patients with mixed dementia and moderate-to- severe WMH burden (baseline: N=52, 2 years follow-up: N=25). We quantified global WMH and PVS volumes from FLAIR and T1w MRI. At baseline, we examined associations between these volumes and diffusion MRI-derived free water. Longitudinally, we employed linear [mixed-effect] models to investigate the relation of WMH or PVS volume changes over time with baseline free water, using cortical Aβ-PET, age, sex, and APOE-ε4 as covariates.

Results

In TRIAD and MITNEC-C6 respectively, mean ages were 72±6 and 77±8 y, 60% and 42% were female, and 41% and 48% were Aβ-positive. At baseline, higher free water in normal- appearing white matter was associated with higher WMH volume (β_TRIAD=+0.34±0.06, P_TRIAD<0.001 and β_MITNEC=+0.31±0.14, P_MITNEC=0.03) as well as total PVS volume (β_TRIAD=+0.53±0.06, P_TRIAD<0.001 and β_MITNEC=+0.30±0.13, P_MITNEC=0.03).Longitudinally, faster WMH progression was predicted by higher baseline free water in normal- appearing white matter (P_TRIAD<0.001 and P_MITNEC=0.01) in Aβ-positive but not negative individuals (Figure 1). Conversely, higher free water in normal-appearing white matter was moderately related to slower PVS progression (P_TRIAD=0.03 and P_MITNEC=0.004).

Discussion

Our findings support a key role for free water and Aβ in predicting the progression of volumetric MRI-based markers of SVD. Future investigations will explore the spatial relationships involved. Additionally, further validation of our longitudinal segmentation tools for PVS is necessary to support a potential link between free water and PVS temporal dynamics.

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来源期刊
Cerebral circulation - cognition and behavior
Cerebral circulation - cognition and behavior Neurology, Clinical Neurology
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2.00
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14 weeks
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