Cousineau Jason Patrick, Dawe Aimee Maria, Alpaugh Melanie
Department of Molecular and Cellular Biology, University of Guelph, Guelph, ON N1G 2W1, Canada.
Biology (Basel). 2024 Sep 26;13(10):764. doi: 10.3390/biology13100764.
Neurological diseases, including neurodegenerative diseases (NDDs), are the primary cause of disability worldwide and the second leading cause of death. The chronic nature of these conditions and the lack of disease-modifying therapies highlight the urgent need for developing effective therapies. To accomplish this, effective models of NDDs are required to increase our understanding of underlying pathophysiology and for evaluating treatment efficacy. Traditionally, models of NDDs have focused on the central nervous system (CNS). However, evidence points to a relationship between systemic factors and the development of NDDs. Cardiovascular disease and related risk factors have been shown to modify the cerebral vasculature and the risk of developing Alzheimer's disease. These findings, combined with reports of changes to vascular density and blood-brain barrier integrity in other NDDs, such as Huntington's disease and Parkinson's disease, suggest that cardiovascular health may be predictive of brain function. To evaluate this, we explore evidence for disruptions to the circulatory system in murine models of NDDs, evidence of disruptions to the CNS in cardiovascular disease models and summarize models combining cardiovascular disruption with models of NDDs. In this study, we aim to increase our understanding of cardiovascular disease and neurodegeneration interactions across multiple disease states and evaluate the utility of combining model systems.
神经系统疾病，包括神经退行性疾病（NDDs），是全球残疾的主要原因，也是第二大死亡原因。这些疾病的慢性性质以及缺乏疾病修正疗法凸显了开发有效疗法的迫切需求。为实现这一目标，需要有效的NDDs模型来增进我们对潜在病理生理学的理解并评估治疗效果。传统上，NDDs模型主要关注中枢神经系统（CNS）。然而，有证据表明全身因素与NDDs的发展之间存在关联。心血管疾病及相关风险因素已被证明会改变脑血管系统以及患阿尔茨海默病的风险。这些发现，再加上其他NDDs（如亨廷顿病和帕金森病）中血管密度和血脑屏障完整性变化的报道，表明心血管健康可能预示着脑功能。为评估这一点，我们探讨NDDs小鼠模型中循环系统破坏的证据、心血管疾病模型中CNS破坏的证据，并总结将心血管破坏与NDDs模型相结合的模型。在本研究中，我们旨在增进对多种疾病状态下心血管疾病与神经退行性变相互作用的理解，并评估组合模型系统的效用。
