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基于对致病性突变的分析的 γ-分泌酶对 APP 加工的构象模型。

Conformational Models of APP Processing by Gamma Secretase Based on Analysis of Pathogenic Mutations.

机构信息

Department of Physiology, UT Southwestern Medical Center at Dallas, Dallas, TX 75390, USA.

Laboratory of Molecular Neurodegeneration, Peter the Great St. Petersburg State Polytechnical University, 195251 St. Petersburg, Russia.

出版信息

Int J Mol Sci. 2021 Dec 18;22(24):13600. doi: 10.3390/ijms222413600.

Abstract

Proteolytic processing of amyloid precursor protein (APP) plays a critical role in the pathogenesis of Alzheimer's disease (AD). Sequential cleavage of APP by β and γ secretases leads to the generation of Aβ40 (non-amyloidogenic) and Aβ42 (amyloidogenic) peptides. Presenilin-1 (PS1) or presenilin-2 (PS2) play the role of a catalytic subunit of γ-secretase. Multiple familial AD (FAD) mutations in APP, PS1, or PS2 result in an increased Aβ42:Aβ40 ratio and the accumulation of toxic Aβ42 oligomers and plaques in patient brains. In this study, we perform molecular modeling of the APP complex with γ-secretase and analyze potential effects of FAD mutations in APP and PS1. We noticed that all FAD mutations in the APP transmembrane domain are predicted to cause an increase in the local disorder of its secondary structure. Based on structural analysis of known γ-secretase structures, we propose that APP can form a complex with γ-secretase in 2 potential conformations-M1 and M2. In conformation, the M1 transmembrane domain of APP forms a contact with the perimembrane domain that follows transmembrane domain 6 (TM6) in the PS1 structure. In conformation, the M2 transmembrane domain of APP forms a contact with transmembrane domain 7 (TM7) in the PS1 structure. By analyzing the effects of PS1-FAD mutations on the local protein disorder index, we discovered that these mutations increase the conformational flexibility of M2 and reduce the conformational flexibility of M1. Based on these results, we propose that M2 conformation, but not M1 conformation, of the γ secretase complex with APP leads to the amyloidogenic (Aβ42-generating) processing of APP. Our model predicts that APP processing in M1 conformation is favored by curved membranes, such as the membranes of early endosomes. In contrast, APP processing in M2 conformation is likely to be favored by relatively flat membranes, such as membranes of late endosomes and plasma membranes. These predictions are consistent with published biochemical analyses of APP processing at different subcellular locations. Our results also suggest that specific inhibitors of Aβ42 production could be potentially developed by selectively targeting the M2 conformation of the γ secretase complex with APP.

摘要

淀粉样前体蛋白(APP)的蛋白水解加工在阿尔茨海默病(AD)的发病机制中起着关键作用。β 和 γ 分泌酶对 APP 的连续切割导致 Aβ40(非淀粉样形成)和 Aβ42(淀粉样形成)肽的产生。早老素-1(PS1)或早老素-2(PS2)作为 γ 分泌酶的催化亚基发挥作用。APP、PS1 或 PS2 中的多个家族性 AD(FAD)突变导致 Aβ42:Aβ40 比值增加,并且有毒的 Aβ42 寡聚物和斑块在患者大脑中积累。在这项研究中,我们对 APP 与 γ 分泌酶的复合物进行了分子建模,并分析了 APP 和 PS1 中的 FAD 突变的潜在影响。我们注意到,APP 跨膜结构域中的所有 FAD 突变都预计会导致其二级结构的局部无序性增加。基于已知的 γ 分泌酶结构的结构分析,我们提出 APP 可以与 γ 分泌酶形成 2 种潜在构象的复合物-M1 和 M2。在构象中,APP 的 M1 跨膜结构域与 PS1 结构中紧随跨膜结构域 6(TM6)的质膜结构域形成接触。在构象中,APP 的 M2 跨膜结构域与 PS1 结构中的跨膜结构域 7(TM7)形成接触。通过分析 PS1-FAD 突变对局部蛋白质无序指数的影响,我们发现这些突变增加了 M2 的构象灵活性,降低了 M1 的构象灵活性。基于这些结果,我们提出,与 APP 形成的 γ 分泌酶复合物的 M2 构象而不是 M1 构象导致 APP 的淀粉样形成(Aβ42 生成)加工。我们的模型预测,APP 在 M1 构象中的加工受弯曲膜(如早期内体的膜)的青睐。相比之下,APP 在 M2 构象中的加工可能更倾向于相对平坦的膜,如晚期内体和质膜的膜。这些预测与 APP 在不同亚细胞位置的生化分析一致。我们的结果还表明,通过选择性靶向 APP 与 γ 分泌酶复合物的 M2 构象,可能开发出特定的 Aβ42 产生抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/519b/8709358/529449731f23/ijms-22-13600-g001.jpg

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