Jin Chelsea, Bhaskar Sonu
Global Health Neurology Lab, Sydney, New South Wales, Australia.
UNSW Medicine and Health, University of New South Wales (UNSW), South West Sydney Clinical Campuses, Sydney, New South Wales, Australia.
Eur J Neurosci. 2025 Sep;62(5):e70246. doi: 10.1111/ejn.70246.
Cerebral small vessel disease (CSVD) is a major yet underappreciated driver of cognitive impairment and dementia, contributing to nearly half of all cases. Emerging evidence indicates that CSVD is not merely a coexisting vascular condition but an active amplifier of neurodegeneration, operating through a self-perpetuating cascade of microvascular injury, blood-brain barrier (BBB) breakdown, and glymphatic system dysfunction. In this hypothesis-driven review, we propose the Integrated Vascular-Neurodegenerative Continuum, a mechanistic model in which vascular pathology triggers and accelerates neurodegeneration via intersecting pathways, including chronic cerebral hypoperfusion, oxidative stress, and APOE ε4-associated endothelial vulnerability. We synthesize molecular, imaging, and genetic evidence supporting this continuum, highlighting novel diagnostic and therapeutic targets such as peak skeletonized mean diffusivity, dynamic contrast-enhanced magnetic resonance imaging-based BBB leakage quantification, and emerging agents like cilostazol and allopurinol. We also critically appraise the limitations of current diagnostic frameworks and advocate for integrative, multimodal approaches to risk stratification. This model offers a unifying framework that bridges cerebrovascular and neurodegenerative domains, offering a foundation for precision medicine strategies aimed at dementia prevention and treatment.
脑小血管病(CSVD)是认知障碍和痴呆的一个主要但未得到充分认识的驱动因素,占所有病例的近一半。新出现的证据表明,CSVD不仅仅是一种并存的血管疾病,而是神经退行性变的一个活跃放大器,通过微血管损伤、血脑屏障(BBB)破坏和类淋巴系统功能障碍的自我延续级联反应发挥作用。在这篇基于假设的综述中,我们提出了综合血管-神经退行性连续体,这是一个机制模型,其中血管病理学通过包括慢性脑灌注不足、氧化应激和APOE ε4相关的内皮易损性等交叉途径触发并加速神经退行性变。我们综合了支持这一连续体的分子、影像学和遗传学证据,强调了新的诊断和治疗靶点,如峰值骨架化平均扩散率、基于动态对比增强磁共振成像的血脑屏障渗漏量化,以及西洛他唑和别嘌醇等新兴药物。我们还批判性地评估了当前诊断框架的局限性,并倡导采用综合、多模态方法进行风险分层。该模型提供了一个统一的框架,架起了脑血管和神经退行性疾病领域之间的桥梁,为旨在预防和治疗痴呆症的精准医学策略奠定了基础。