Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Department of Neuroscience, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
J Alzheimers Dis. 2022;89(1):107-119. doi: 10.3233/JAD-220450.
Tau assembly produces soluble oligomers and insoluble neurofibrillary tangles, which are neurotoxic to the brain and associated with Alzheimer's and Parkinson's diseases. Therefore, preventing tau aggregation is a promising therapy for those neurodegenerative disorders.
The aim of this study was to develop a joint computational/cell-based oligomerization protocol for screening inhibitors of tau assembly.
Virtual oligomerization inhibition (VOI) experiment using molecular dynamics simulation was performed to screen potential oligomerization inhibitors of PHF6 hexapeptide. Tau seeding assay, which is directly related to the outcome of therapeutic intervention, was carried out to confirm a ligand's ability in inhibiting tau assembly formation.
Our protocol was tested on two known compounds, EGCG and Blarcamesine. EGCG inhibited both the aggregation of PHF6 peptide in VOI and tau assembly in tau seeding assay, while Blarcamesine was not a good inhibitor at the two tasks. We also pointed out that good binding affinity to tau aggregates is needed, but not sufficient for a ligand to become a good inhibitor of tau oligomerization.
VOI goes beyond traditional computational inhibitor screening of amyloid aggregation by directly examining the inhibitory ability of a ligand to tau oligomerization. Comparing with the traditional biochemical assays, tau seeding activities in cells is a better indicator for the outcome of a therapeutic intervention. Our hybrid protocol has been successfully validated. It can effectively and efficiently identify the inhibitors of amyloid oligomerization/aggregation processes, thus, facilitate to the drug development of tau-related neurodegenerative diseases.
tau 蛋白聚集会产生可溶性寡聚物和不溶性神经原纤维缠结,这对大脑具有神经毒性,并与阿尔茨海默病和帕金森病有关。因此,阻止 tau 聚集是治疗这些神经退行性疾病的一种有前途的方法。
本研究旨在开发一种联合计算/基于细胞的寡聚化协议,用于筛选 tau 组装抑制剂。
使用分子动力学模拟进行虚拟寡聚化抑制(VOI)实验,以筛选 PHF6 六肽的潜在寡聚化抑制剂。进行 tau 接种测定,这与治疗干预的结果直接相关,以确认配体抑制 tau 组装形成的能力。
我们的方案在两种已知化合物 EGCG 和 Blarcamesine 上进行了测试。EGCG 抑制了 VOI 中 PHF6 肽的聚集和 tau 接种测定中的 tau 组装,而 Blarcamesine 在这两个任务中都不是一个好的抑制剂。我们还指出,与 tau 聚集物具有良好的结合亲和力是必要的,但对于配体成为 tau 寡聚化的良好抑制剂来说还不够。
VOI 通过直接检查配体对 tau 寡聚化的抑制能力,超越了传统的淀粉样蛋白聚集的计算抑制剂筛选。与传统的生化测定相比,细胞中的 tau 接种活性是治疗干预结果的更好指标。我们的混合方案已成功验证。它可以有效地识别淀粉样寡聚化/聚集过程的抑制剂,从而促进 tau 相关神经退行性疾病的药物开发。