Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory for Computational Physical Sciences (MOE), Multiscale Research Institute of Complex Systems, Fudan University, Shanghai 200438, P. R. China.
Basic Science Program, Leidos Biomedical Research, Inc., Computational Structural Biology Section, Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, Maryland 21702, United States.
ACS Chem Neurosci. 2020 Oct 21;11(20):3233-3244. doi: 10.1021/acschemneuro.0c00364. Epub 2020 Oct 9.
Alzheimer's disease (AD) is one of the most devastating neurodegenerative diseases without effective therapies. Immunotherapies using antibodies to lower assembled Aβ provide a promising approach and have been widely studied. Anti-amyloid antibodies are often selective to amyloid conformation, and the lack of amyloid-antibody structural information limits our understanding of these antibodies' conformation selection. Gantenerumab and crenezumab are two anti-Aβ antibodies that bind multiple forms of Aβ with different Aβ epitope preferences. Here, using molecular dynamic (MD) simulations, we study the binding of these two antibodies to the Aβ fibril, whose conformation is derived from an AD patient's brain tissue. We find that gantenerumab recognizes the Aβ monomer fragment only at slightly lower pH than the physiological environment where His6 of Aβ is protonated. Both gantenerumab and crenezumab bind with integrated Aβ fibril rather than binding to monomers within the fibril. Gantenerumab preferentially binds to the N-terminal region of the Aβ fibril, and the binding is driven by aromatic interactions. Crenezumab can recognize the N-terminal region, as well as the cross-section of the Aβ fibril, indicating its multiple binding modes in Aβ fibril recognition. These results demonstrate conformation-dependent interactions of antibody-amyloid recognition.
阿尔茨海默病(AD)是一种最具破坏性的神经退行性疾病,目前尚无有效的治疗方法。使用抗体降低聚集的 Aβ 的免疫疗法提供了一种很有前途的方法,并得到了广泛的研究。抗淀粉样蛋白抗体通常对淀粉样蛋白构象具有选择性,而缺乏淀粉样蛋白-抗体的结构信息限制了我们对这些抗体构象选择的理解。Gantenerumab 和 crenezumab 是两种抗 Aβ 抗体,它们与 Aβ 的多种形式结合,具有不同的 Aβ 表位偏好。在这里,我们使用分子动力学(MD)模拟研究了这两种抗体与 Aβ 纤维的结合,Aβ 纤维的构象来源于 AD 患者的脑组织。我们发现,gantenerumab 仅在比 Aβ His6 质子化的生理环境略低的 pH 值下识别 Aβ 单体片段。gantenerumab 和 crenezumab 都与整合的 Aβ 纤维结合,而不是与纤维内的单体结合。Gantenerumab 优先与 Aβ 纤维的 N 端区域结合,结合是由芳香相互作用驱动的。Crenezumab 可以识别 Aβ 纤维的 N 端区域以及横截面,表明其在 Aβ 纤维识别中有多种结合模式。这些结果表明抗体-淀粉样蛋白识别的构象依赖性相互作用。
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