Protein Misfolding and Aggregation as a Mechanistic Link Between Chronic Pain and Neurodegenerative Diseases

蛋白质错误折叠和聚集是慢性疼痛与神经退行性疾病之间的机制联系

阅读:2

Abstract

Chronic pain, defined by persistent pain beyond normal healing time, is a pervasive and debilitating condition affecting up to 30-50% of adults globally. In parallel, neurodegenerative diseases (NDs) such as Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS) are characterized by progressive neuronal loss and cognitive or motor decline, often underpinned by pathological protein misfolding and aggregation. Emerging evidence suggests a potential mechanistic link between chronic pain and NDs, with persistent pain contributing to neuroinflammatory states and protein homeostasis disturbances that mirror processes in neurodegeneration. This review explores the hypothesis that protein misfolding and aggregation serve as a mechanistic bridge between chronic pain and neurodegeneration. We systematically examine molecular pathways of protein misfolding, proteostasis dysfunction in chronic pain, and shared neuroimmune mechanisms, highlighting prion-like propagation of misfolded proteins, chronic neuroinflammation, and oxidative stress as common denominators. We further discuss evidence from experimental models and clinical studies linking chronic pain to accelerated neurodegenerative pathology-including tau accumulation, amyloid dysregulation, and microglial activation-and consider how these insights open avenues for novel therapeutics. Targeting protein aggregation, enhancing chaperone function, modulating the unfolded protein response (UPR), and attenuating glial activation are explored as potential strategies to mitigate chronic pain and possibly slow neurodegeneration. Understanding this intersection not only elucidates chronic pain's role in cognitive decline but also suggests that interventions addressing proteostasis and inflammation could yield dual benefits in pain management and neurodegenerative disease modification.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。