论文标题
$α$ -Synuclein稳态的机械模型用于帕金森氏病：治疗干预的蓝图
Mechanistic models of $α$-synuclein homeostasis for Parkinson's disease: A blueprint for therapeutic intervention
论文作者
论文摘要
帕金森氏病（PD）是全世界第二常见的神经退行性疾病，但迄今为止尚无疾病修改治疗。 PD基础的生物复杂性阻碍了对其发病机理的主要贡献者的研究。在这种情况下，基于分子级知识的机械模型提供了虚拟实验室，以揭示触发PD发作和进展的主要事件，并提出有希望的治疗靶标。 PD研究中的多次建模工作集中在$α$ - 苏核蛋白（$α$ SYN）的病理作用上，这是一种突触前蛋白，它是从复杂的分子网络中出现的，作为神经变性的重要驱动力。在这里，我们收集了$α$ Syn稳态的数学建模的进步，专注于聚合和降解途径，并讨论了潜在的建模改进以及对PD治疗策略设计的可能影响。
Parkinson's disease (PD) is the second most common neurodegenerative disorder worldwide, yet there is no disease-modifying therapy up to this date. The biological complexity underlying PD hampers the investigation of the principal contributors to its pathogenesis. In this context, mechanistic models grounded in molecular-level knowledge provide virtual labs to uncover the primary events triggering PD onset and progression and suggest promising therapeutic targets. Multiple modeling efforts in PD research have focused on the pathological role of $α$-synuclein ($α$syn), a presynaptic protein that emerges from the intricate molecular network as a crucial driver of neurodegeneration. Here, we collect the advances in mathematical modeling of $α$syn homeostasis, focusing on aggregation and degradation pathways, and discussing potential modeling improvements and possible implications in PD therapeutic strategy design.
