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蛋白质动态平衡网络和利用酵母指导阿尔茨海默病干预措施。

Protein Homeostasis Networks and the Use of Yeast to Guide Interventions in Alzheimer's Disease.

机构信息

School of Science, RMIT University, Bundoora, Victoria 3083, Australia.

出版信息

Int J Mol Sci. 2020 Oct 28;21(21):8014. doi: 10.3390/ijms21218014.

Abstract

Alzheimer's Disease (AD) is a progressive multifactorial age-related neurodegenerative disorder that causes the majority of deaths due to dementia in the elderly. Although various risk factors have been found to be associated with AD progression, the cause of the disease is still unresolved. The loss of proteostasis is one of the major causes of AD: it is evident by aggregation of misfolded proteins, lipid homeostasis disruption, accumulation of autophagic vesicles, and oxidative damage during the disease progression. Different models have been developed to study AD, one of which is a yeast model. Yeasts are simple unicellular eukaryotic cells that have provided great insights into human cell biology. Various yeast models, including unmodified and genetically modified yeasts, have been established for studying AD and have provided significant amount of information on AD pathology and potential interventions. The conservation of various human biological processes, including signal transduction, energy metabolism, protein homeostasis, stress responses, oxidative phosphorylation, vesicle trafficking, apoptosis, endocytosis, and ageing, renders yeast a fascinating, powerful model for AD. In addition, the easy manipulation of the yeast genome and availability of methods to evaluate yeast cells rapidly in high throughput technological platforms strengthen the rationale of using yeast as a model. This review focuses on the description of the proteostasis network in yeast and its comparison with the human proteostasis network. It further elaborates on the AD-associated proteostasis failure and applications of the yeast proteostasis network to understand AD pathology and its potential to guide interventions against AD.

摘要

阿尔茨海默病(AD)是一种进行性的、多因素的与年龄相关的神经退行性疾病,是导致老年人痴呆相关死亡的主要原因。虽然已经发现了多种与 AD 进展相关的风险因素,但该病的病因仍未得到解决。蛋白质稳态的丧失是 AD 的主要原因之一:在疾病进展过程中,可见到错误折叠蛋白的聚集、脂质动态平衡破坏、自噬泡的积累以及氧化损伤。已经开发了不同的模型来研究 AD,其中一种是酵母模型。酵母是简单的单细胞真核细胞,为人类细胞生物学提供了重要的见解。已经建立了各种酵母模型,包括未经修饰和基因修饰的酵母,用于研究 AD,并提供了大量关于 AD 病理学和潜在干预措施的信息。包括信号转导、能量代谢、蛋白质稳态、应激反应、氧化磷酸化、囊泡运输、细胞凋亡、内吞作用和衰老在内的各种人类生物学过程的保守性,使酵母成为 AD 的迷人而强大的模型。此外,酵母基因组的易操作以及在高通量技术平台上快速评估酵母细胞的方法的可用性,增强了使用酵母作为模型的合理性。本文综述了酵母中蛋白质稳态网络的描述及其与人类蛋白质稳态网络的比较。进一步阐述了 AD 相关的蛋白质稳态失效以及酵母蛋白质稳态网络在理解 AD 病理学及其对 AD 潜在干预措施的指导中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1d/7662794/7b87e4beada3/ijms-21-08014-g001.jpg

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