Srinivasan Gayathri, Brafman David A
School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States.
Front Aging Neurosci. 2022 Feb 8;13:813544. doi: 10.3389/fnagi.2021.813544. eCollection 2021.
Numerous epidemiological studies have demonstrated that individuals who have sustained a traumatic brain injury (TBI) have an elevated risk for developing Alzheimer's disease and Alzheimer's-related dementias (AD/ADRD). Despite these connections, the underlying mechanisms by which TBI induces AD-related pathology, neuronal dysfunction, and cognitive decline have yet to be elucidated. In this review, we will discuss the various and models that are being employed to provide more definite mechanistic relationships between TBI-induced mechanical injury and AD-related phenotypes. In particular, we will highlight the strengths and weaknesses of each of these model systems as it relates to advancing the understanding of the mechanisms that lead to TBI-induced AD onset and progression as well as providing platforms to evaluate potential therapies. Finally, we will discuss how emerging methods including the use of human induced pluripotent stem cell (hiPSC)-derived cultures and genome engineering technologies can be employed to generate better models of TBI-induced AD.
大量流行病学研究表明,受过创伤性脑损伤(TBI)的个体患阿尔茨海默病及阿尔茨海默病相关痴呆症(AD/ADRD)的风险会升高。尽管存在这些关联,但TBI诱发AD相关病理、神经元功能障碍和认知衰退的潜在机制仍有待阐明。在本综述中,我们将讨论正在使用的各种模型,以提供TBI诱导的机械损伤与AD相关表型之间更明确的机制关系。特别是,我们将强调每个模型系统的优缺点,因为它们与推进对导致TBI诱导的AD发病和进展机制的理解以及提供评估潜在疗法的平台有关。最后,我们将讨论如何利用包括使用人类诱导多能干细胞(hiPSC)衍生培养物和基因组工程技术在内的新兴方法来生成更好的TBI诱导AD模型。