Habchi Johnny, Chia Sean, Limbocker Ryan, Mannini Benedetta, Ahn Minkoo, Perni Michele, Hansson Oskar, Arosio Paolo, Kumita Janet R, Challa Pavan Kumar, Cohen Samuel I A, Linse Sara, Dobson Christopher M, Knowles Tuomas P J, Vendruscolo Michele
Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom.
Department of Clinical Sciences, Lund University, 221 00 Lund, Sweden.
Proc Natl Acad Sci U S A. 2017 Jan 10;114(2):E200-E208. doi: 10.1073/pnas.1615613114. Epub 2016 Dec 23.
The aggregation of the 42-residue form of the amyloid-β peptide (Aβ42) is a pivotal event in Alzheimer's disease (AD). The use of chemical kinetics has recently enabled highly accurate quantifications of the effects of small molecules on specific microscopic steps in Aβ42 aggregation. Here, we exploit this approach to develop a rational drug discovery strategy against Aβ42 aggregation that uses as a read-out the changes in the nucleation and elongation rate constants caused by candidate small molecules. We thus identify a pool of compounds that target specific microscopic steps in Aβ42 aggregation. We then test further these small molecules in human cerebrospinal fluid and in a Caenorhabditis elegans model of AD. Our results show that this strategy represents a powerful approach to identify systematically small molecule lead compounds, thus offering an appealing opportunity to reduce the attrition problem in drug discovery.
淀粉样β肽(Aβ42)42个氨基酸残基形式的聚集是阿尔茨海默病(AD)中的关键事件。化学动力学的应用最近使得能够高度准确地量化小分子对Aβ42聚集特定微观步骤的影响。在此,我们利用这种方法开发一种针对Aβ42聚集的合理药物发现策略,该策略将候选小分子引起的成核和延伸速率常数的变化作为读出指标。我们由此鉴定出一组靶向Aβ42聚集特定微观步骤的化合物。然后,我们在人脑脊液和AD的秀丽隐杆线虫模型中进一步测试这些小分子。我们的结果表明,该策略是系统鉴定小分子先导化合物的有力方法,从而为减少药物发现中的淘汰问题提供了一个有吸引力的机会。