Vascular and glymphatic dysfunction as drivers of cognitive impairment in Alzheimer's disease: Insights from computational approaches

IF 5.6 2区医学 Q1 NEUROSCIENCES Neurobiology of Disease Pub Date : 2025-03-17 DOI:10.1016/j.nbd.2025.106877

Gehan Fatima , Akm Ashiquzzaman , Sang Seong Kim , Young Ro Kim , Hyuk-Sang Kwon , Euiheon Chung

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Abstract

Alzheimer's disease (AD) is driven by complex interactions between vascular dysfunction, glymphatic system impairment, and neuroinflammation. Vascular aging, characterized by arterial stiffness and reduced cerebral blood flow (CBF), disrupts the pulsatile forces necessary for glymphatic clearance, exacerbating amyloid-beta (Aβ) accumulation and cognitive decline. This review synthesizes insights into the mechanistic crosstalk between these systems and explores their contributions to AD pathogenesis. Emerging machine learning (ML) tools, such as DeepLabCut and Motion sequencing (MoSeq), offer innovative solutions for analyzing multimodal data and enhancing diagnostic precision. Integrating ML with imaging and behavioral analyses bridges gaps in understanding vascular-glymphatic dysfunction. Future research must prioritize these interactions to develop early diagnostics and targeted interventions, advancing our understanding of neurovascular health in AD.

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血管和淋巴功能障碍作为阿尔茨海默病认知障碍的驱动因素：来自计算方法的见解。

阿尔茨海默病（AD）是由血管功能障碍、淋巴系统损伤和神经炎症之间复杂的相互作用驱动的。血管老化，以动脉僵硬和脑血流量减少为特征，扰乱了淋巴清除所必需的脉动力，加剧了β淀粉样蛋白（Aβ）的积累和认知能力下降。这篇综述综合了这些系统之间的机制串扰，并探讨了它们在AD发病机制中的作用。新兴的机器学习（ML）工具，如DeepLabCut和MoSeq，为分析多模态数据和提高诊断精度提供了创新的解决方案。将ML与影像学和行为分析相结合，可以弥合理解血管淋巴功能障碍的差距。未来的研究必须优先考虑这些相互作用，以开发早期诊断和有针对性的干预措施，提高我们对阿尔茨海默病神经血管健康的理解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neurobiology of Disease 医学-神经科学

CiteScore

11.20

自引率

3.30%

发文量

270

审稿时长

76 days

期刊介绍： Neurobiology of Disease is a major international journal at the interface between basic and clinical neuroscience. The journal provides a forum for the publication of top quality research papers on: molecular and cellular definitions of disease mechanisms, the neural systems and underpinning behavioral disorders, the genetics of inherited neurological and psychiatric diseases, nervous system aging, and findings relevant to the development of new therapies.