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Recent drug discovery success signals renaissance in biophysics.近期药物研发的成功标志着生物物理学的复兴。
Biophys Rev (Melville). 2022 Jun 7;3(2):020401. doi: 10.1063/5.0099305. eCollection 2022 Jun.
3
Disease-specific tau filaments assemble via polymorphic intermediates.特定疾病的 tau 纤维通过多态中间产物组装。
Nature. 2024 Jan;625(7993):119-125. doi: 10.1038/s41586-023-06788-w. Epub 2023 Nov 29.
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Secondary Processes Dominate the Quiescent, Spontaneous Aggregation of α-Synuclein at Physiological pH with Sodium Salts.在生理 pH 值和钠盐条件下,α-突触核蛋白的静止、自发聚集主要由二级过程主导。
ACS Chem Neurosci. 2023 Sep 6;14(17):3125-3131. doi: 10.1021/acschemneuro.3c00282. Epub 2023 Aug 14.
5
Donanemab in Early Symptomatic Alzheimer Disease: The TRAILBLAZER-ALZ 2 Randomized Clinical Trial.多奈哌齐治疗早期症状性阿尔茨海默病的随机临床试验。
JAMA. 2023 Aug 8;330(6):512-527. doi: 10.1001/jama.2023.13239.
6
Tau-targeting antisense oligonucleotide MAPT in mild Alzheimer's disease: a phase 1b, randomized, placebo-controlled trial.靶向 Tau 的反义寡核苷酸 MAPT 治疗轻度阿尔茨海默病的 1b 期、随机、安慰剂对照试验。
Nat Med. 2023 Jun;29(6):1437-1447. doi: 10.1038/s41591-023-02326-3. Epub 2023 Apr 24.
7
Exploration and Exploitation Approaches Based on Generative Machine Learning to Identify Potent Small Molecule Inhibitors of α-Synuclein Secondary Nucleation.基于生成式机器学习的探索与开发方法,以鉴定有效的α-突触核蛋白次级成核小分子抑制剂。
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8
Disease-relevant β-microglobulin variants share a common amyloid fold.与疾病相关的β-微球蛋白变体具有共同的淀粉样纤维折叠结构。
Nat Commun. 2023 Mar 2;14(1):1190. doi: 10.1038/s41467-023-36791-8.
9
Lecanemab in Early Alzheimer's Disease.早期阿尔茨海默病中的lecanemab
N Engl J Med. 2023 Jan 5;388(1):9-21. doi: 10.1056/NEJMoa2212948. Epub 2022 Nov 29.
10
Stability matters, too - the thermodynamics of amyloid fibril formation.稳定性也很重要——淀粉样纤维形成的热力学。
Chem Sci. 2022 Feb 2;13(35):10177-10192. doi: 10.1039/d1sc06782f. eCollection 2022 Sep 14.

神经退行性疾病的热力学

The thermodynamics of neurodegenerative disease.

作者信息

Meisl Georg

机构信息

WaveBreak Therapeutics Ltd., Chemistry of Health, Lensfield Road, Cambridge CB2 1EW, United Kingdom.

出版信息

Biophys Rev (Melville). 2024 Mar 20;5(1):011303. doi: 10.1063/5.0180899. eCollection 2024 Mar.

DOI:10.1063/5.0180899
PMID:38525484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10957229/
Abstract

The formation of protein aggregates in the brain is a central aspect of the pathology of many neurodegenerative diseases. This self-assembly of specific proteins into filamentous aggregates, or fibrils, is a fundamental biophysical process that can easily be reproduced in the test tube. However, it has been difficult to obtain a clear picture of how the biophysical insights thus obtained can be applied to the complex, multi-factorial diseases and what this means for therapeutic strategies. While new, disease-modifying therapies are now emerging, for the most devastating disorders, such as Alzheimer's and Parkinson's disease, they still fall well short of offering a cure, and few drug design approaches fully exploit the wealth of mechanistic insights that has been obtained in biophysical studies. Here, I attempt to provide a new perspective on the role of protein aggregation in disease, by phrasing the problem in terms of a system that, under constant energy consumption, attempts to maintain a healthy, aggregate-free state against the thermodynamic driving forces that inexorably push it toward pathological aggregation.

摘要

大脑中蛋白质聚集体的形成是许多神经退行性疾病病理学的核心方面。这种特定蛋白质自组装成丝状聚集体或原纤维是一个基本的生物物理过程,很容易在试管中重现。然而,要清楚了解如此获得的生物物理见解如何应用于复杂的多因素疾病以及这对治疗策略意味着什么一直很困难。虽然现在出现了新的疾病修饰疗法,但对于最具毁灭性的疾病,如阿尔茨海默病和帕金森病,它们仍远远无法提供治愈方法,而且很少有药物设计方法能充分利用生物物理研究中获得的丰富机制见解。在此,我试图通过将问题表述为一个系统,即在持续能量消耗的情况下,试图对抗无情地将其推向病理性聚集的热力学驱动力来维持健康、无聚集体状态,从而为蛋白质聚集在疾病中的作用提供一个新视角。