Tubulin State Determines Proteopathic Fate.

IF 1.6
Lathan Lucas, My Diem Quan, Josephine C Ferreon, Allan Chris M Ferreon
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Abstract

Neurodegenerative diseases have largely been defined by the accumulation of misfolded and aggregated proteins, while cytoskeletal disruption has typically been treated as a secondary consequence of pathology. Here, we argue that tubulin and microtubules are active determinants of whether disease-linked proteins remain functionally engaged or enter pathological assembly pathways. Recent evidence that tubulin redirects Tau:α-synuclein condensates away from oligomerization and amyloid formation toward physiological, microtubule-association competent states supports this view. On this basis, we propose that loss of productive protein-microtubule engagement shifts intracellular binding equilibria toward disengaged protein populations, available to access pathological homo- and heterotypic interactions. These macromolecular aggregates may then further disrupt microtubule organization, exacerbating cytoskeletal failure and accelerating disease progression. This view also offers an explanation for mixed pathologies, as release from one function-related interaction network expands access to several pathogenic ones. We further consider the implications of this model for therapy and biomarker development, positioning the tubulin/microtubule system as both a targetable regulator of proteostatic fate and a biologically informative readout of early pathology. In this perspective, tubulin state is not a passive marker of damage but a determinant of neurodegenerative protein behavior.

微管蛋白状态决定变形的命运。
神经退行性疾病在很大程度上被定义为错误折叠和聚集蛋白质的积累,而细胞骨架破坏通常被视为病理的次要后果。在这里,我们认为微管蛋白和微管是疾病相关蛋白是否保持功能参与或进入病理组装途径的积极决定因素。最近有证据表明,微管蛋白将Tau:α-突触核蛋白凝聚物从寡聚化和淀粉样蛋白形成转向生理的、微管结合的主管状态,支持了这一观点。在此基础上,我们提出,生产蛋白-微管结合的丧失将细胞内的结合平衡转移到分离的蛋白群,可用于病理的同型和异型相互作用。这些大分子聚集体可能进一步破坏微管组织,加剧细胞骨架衰竭,加速疾病进展。这一观点也为混合病理提供了解释,因为从一个功能相关的相互作用网络中释放会扩展到几个致病网络。我们进一步考虑了该模型对治疗和生物标志物开发的影响,将微管蛋白/微管系统定位为蛋白质抑制命运的可靶向调节剂和早期病理的生物学信息读数。从这个角度来看,微管蛋白状态不是损伤的被动标记,而是神经退行性蛋白行为的决定因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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