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Templating S100A9 amyloids on Aβ fibrillar surfaces revealed by charge detection mass spectrometry, microscopy, kinetic and microfluidic analyses
bioRxiv - Biophysics Pub Date : 2020-05-28 , DOI: 10.1101/2020.05.26.116400
Jonathan Pansieri , Igor A. Iashchishyn , Hussein Fakhouri , Lucija Ostojić , Mantas Malisauskas , Greta Musteikyte , Vytautas Smirnovas , Matthias M. Schneider , Tom Scheidt , Catherine K. Xu , Georg Meisl , Tuomas P. J. Knowles , Ehud Gazit , Rodolphe Antoine , Ludmilla A. Morozova-Roche

The mechanism of amyloid co-aggregation and its nucleation process are not fully understood in spite of extensive studies. Deciphering the interactions between proinflammatory S100A9 protein and Aβ42 peptide in Alzheimer's disease is fundamental since inflammation plays a central role in the disease onset. Here we use innovative charge detection mass spectrometry (CDMS) together with biophysical techniques to provide mechanistic insight into the co-aggregation process and differentiate amyloid complexes at a single particle level. Combination of mass and charge distributions of amyloids together with reconstruction of the differences between them and detailed microscopy reveals that co-aggregation involves templating of S100A9 fibrils on the surface of Aβ42 amyloids. Kinetic analysis further corroborates that the surfaces available for the Aβ42 secondary nucleation are diminished due to the coating by S100A9 amyloids, while the binding of S100A9 to Aβ42 fibrils is validated by a microfuidic assay. We demonstrate that synergy between CDMS, microscopy, kinetic and microfluidic analyses opens new directions in interdisciplinary research.

中文翻译:

通过电荷检测质谱,显微镜,动力学和微流体分析揭示Aβ纤维表面上的S100A9淀粉样蛋白

尽管进行了广泛的研究,淀粉样蛋白共聚集的机制及其成核过程仍未完全了解。阐明促炎性S100A9蛋白与Aβ42肽之间在阿尔茨海默氏病中的相互作用至关重要,因为炎症在疾病发作中起着核心作用。在这里,我们使用创新的电荷检测质谱(CDMS)以及生物物理技术来提供对共聚集过程的机械洞察力,并在单个粒子水平上区分淀粉样蛋白复合物。淀粉样蛋白的质量和电荷分布的组合,以及它们之间的差异的重建和详细的显微镜检查表明,共聚集涉及在Aβ42表面上对S100A9原纤维进行模板化淀粉样蛋白。动力学分析进一步证实,由于S100A9淀粉样蛋白的包被,可用于Aβ42二次成核的表面减少了,而通过微流体测定法验证了S100A9与Aβ42的原纤维的结合。我们证明CDMS,显微镜,动力学和微流体分析之间的协同作用为跨学科研究开辟了新的方向。
更新日期:2020-05-28
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