University of Kansas Alzheimer's Disease Center and Departments of Neurology, Molecular and Integrative Physiology, and Biochemistry and Molecular Biology, University of Kansas Medical Center, Kansas City, KS, USA.
J Alzheimers Dis. 2018;62(3):1403-1416. doi: 10.3233/JAD-170585.
Decades of research indicate mitochondria from Alzheimer's disease (AD) patients differ from those of non-AD individuals. Initial studies revealed structural differences, and subsequent studies showed functional deficits. Observations of structure and function changes prompted investigators to consider the consequences, significance, and causes of AD-related mitochondrial dysfunction. Currently, extensive research argues mitochondria may mediate, drive, or contribute to a variety of AD pathologies. The perceived significance of these mitochondrial changes continues to grow, and many currently believe AD mitochondrial dysfunction represents a reasonable therapeutic target. Debate continues over the origin of AD mitochondrial changes. Some argue amyloid-β (Aβ) induces AD mitochondrial dysfunction, a view that does not challenge the amyloid cascade hypothesis and that may in fact help explain that hypothesis. Alternatively, data indicate mitochondrial dysfunction exists independent of Aβ, potentially lies upstream of Aβ deposition, and suggest a primary mitochondrial cascade hypothesis that assumes mitochondrial pathology hierarchically supersedes Aβ pathology. Mitochondria, therefore, appear at least to mediate or possibly even initiate pathologic molecular cascades in AD. This review considers studies and data that inform this area of AD research.
数十年的研究表明,阿尔茨海默病(AD)患者的线粒体与非 AD 个体的线粒体不同。最初的研究揭示了结构差异,随后的研究显示了功能缺陷。对结构和功能变化的观察促使研究人员考虑 AD 相关线粒体功能障碍的后果、意义和原因。目前,大量研究认为线粒体可能介导、驱动或导致多种 AD 病理。这些线粒体变化的意义仍在不断增加,许多人目前认为 AD 线粒体功能障碍是一个合理的治疗靶点。关于 AD 线粒体变化的起源仍存在争议。一些人认为淀粉样蛋白-β(Aβ)诱导 AD 线粒体功能障碍,这种观点不挑战淀粉样蛋白级联假说,实际上可能有助于解释该假说。或者,数据表明线粒体功能障碍独立于 Aβ 存在,可能位于 Aβ 沉积之前,并提出一个主要的线粒体级联假说,假设线粒体病理学层次上优先于 Aβ 病理学。因此,线粒体至少在 AD 的病理分子级联中起介导作用,甚至可能引发这些级联。本综述考虑了支持这一 AD 研究领域的研究和数据。