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通过自然选择预防阿尔茨海默病。

Preventing Alzheimer's disease by means of natural selection.

作者信息

Demetrius Lloyd A, Driver Jane A

出版信息

J R Soc Interface. 2015 Jan 6;12(102):20140919. doi: 10.1098/rsif.2014.0919.

Abstract

The amyloid cascade model for the origin of sporadic forms of Alzheimer's disease (AD) posits that the imbalance in the production and clearance of beta-amyloid is a necessary condition for the disease. A competing theory called the entropic selection hypothesis asserts that the primary cause of sporadic AD is age-induced mitochondrial dysregulation and the following cascade of events: (i) metabolic reprogramming—the upregulation of oxidative phosphorylation in compensation for insufficient energy production in neurons, (ii) natural selection—competition between intact and reprogrammed neurons for energy substrates and (iii) propagation—the spread of the disease due to the selective advantage of neurons with upregulated metabolism. Experimental studies to evaluate the predictions of the amyloid cascade model are being continually retuned to accommodate conflicts of the predictions with empirical data. Clinical trials of treatments for AD based on anti-amyloid therapy have been unsuccessful. We contend that these anomalies and failures stem from a fundamental deficit of the amyloid hypothesis: the model derives from a nuclear-genomic perspective of sporadic AD and discounts the bioenergetic processes that characterize the progression of most age-related disorders. In this article, we review the anomalies of the amyloid model and the theoretical and empirical support for the entropic selection theory. We also discuss the new therapeutic strategies based on natural selection which the model proposes.

摘要

散发性阿尔茨海默病(AD)起源的淀粉样蛋白级联模型假定,β-淀粉样蛋白生成与清除的失衡是该疾病的必要条件。一种与之竞争的理论,即熵选择假说,断言散发性AD的主要病因是年龄诱导的线粒体功能失调以及随后的一系列事件:(i)代谢重编程——上调氧化磷酸化以补偿神经元能量产生不足,(ii)自然选择——完整神经元与重编程神经元之间对能量底物的竞争,以及(iii)传播——由于代谢上调的神经元的选择性优势导致疾病传播。评估淀粉样蛋白级联模型预测的实验研究不断进行调整,以适应预测与实证数据之间的冲突。基于抗淀粉样蛋白疗法的AD治疗临床试验均未成功。我们认为,这些异常情况和失败源于淀粉样蛋白假说的一个基本缺陷:该模型源自散发性AD的核基因组视角,而忽视了表征大多数与年龄相关疾病进展的生物能量过程。在本文中,我们回顾了淀粉样蛋白模型的异常情况以及熵选择理论的理论和实证支持。我们还讨论了该模型提出的基于自然选择的新治疗策略。

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