School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138;
Proc Natl Acad Sci U S A. 2019 Jul 16;116(29):14593-14598. doi: 10.1073/pnas.1904090116. Epub 2019 Jun 28.
Protein aggregation has been implicated in many medical disorders, including Alzheimer's and Parkinson's diseases. Potential therapeutic strategies for these diseases propose the use of drugs to inhibit specific molecular events during the aggregation process. However, viable treatment protocols require balancing the efficacy of the drug with its toxicity, while accounting for the underlying events of aggregation and inhibition at the molecular level. To address this key problem, we combine here protein aggregation kinetics and control theory to determine optimal protocols that prevent protein aggregation via specific reaction pathways. We find that the optimal inhibition of primary and fibril-dependent secondary nucleation require fundamentally different drug administration protocols. We test the efficacy of our approach on experimental data for the aggregation of the amyloid-β(1-42) peptide of Alzheimer's disease in the model organism Our results pose and answer the question of the link between the molecular basis of protein aggregation and optimal strategies for inhibiting it, opening up avenues for the design of rational therapies to control pathological protein aggregation.
蛋白质聚集与许多医学疾病有关,包括阿尔茨海默病和帕金森病。针对这些疾病的潜在治疗策略提出了使用药物来抑制聚集过程中特定分子事件的发生。然而,可行的治疗方案需要平衡药物的疗效与其毒性,同时考虑到聚集和抑制在分子水平上的潜在事件。为了解决这个关键问题,我们在这里将蛋白质聚集动力学和控制理论相结合,以确定通过特定反应途径防止蛋白质聚集的最佳方案。我们发现,对初级和纤维依赖性次级成核的最佳抑制需要从根本上不同的药物管理方案。我们在阿尔茨海默病模型生物中淀粉样β(1-42)肽聚集的实验数据上测试了我们方法的有效性。我们的结果提出并回答了蛋白质聚集的分子基础与抑制它的最佳策略之间的联系问题,为设计合理的治疗方法来控制病理性蛋白质聚集开辟了途径。