化学
手性(物理)
异核分子
生物物理学
对映体
α-突触核蛋白
帕金森病
核磁共振波谱
立体化学
疾病
生物
医学
内科学
物理
手征对称破缺
量子力学
Nambu–Jona Lasinio模型
夸克
作者
Y. L. Han,Yuqi Zhang,Jiahao Huang,Xiaodan Jia,Taka‐aki Ishibashi,Xiue Jiang
出处
期刊:Small methods
[Wiley]
日期:2025-05-15
卷期号:10 (2): e2500557-e2500557
被引量:1
标识
DOI:10.1002/smtd.202500557
摘要
Inhibiting α-synuclein (α-syn) aggregation is an effective treatment for Parkinson's disease (PD), and chiral recognition of proteins offers a novel strategy for designing efficient inhibitors. However, the impact of chiral selectivity on α-syn aggregation and its regulatory mechanisms remain ambiguous. In this work, it is synthesized chiral carbon nanodots (CNDs), including L-CNDs, D-CNDs, and DL-CNDs, and found that D-CNDs exhibited the most potent inhibitory effect on α-syn aggregation. ¹H-¹⁵N heteronuclear single quantum coherence nuclear magnetic resonance spectroscopy revealed that CNDs primarily interact with α-syn through electrostatic interactions, with D-CNDs specifically targeting key aggregation-prone residues, thereby disrupting β-sheet formation and reducing fibril assembly. In contrast, L-CNDs and DL-CNDs exhibited limited inhibitory effects, attributed to their weak affinity for the non-amyloid-β component region. Moreover, CNDs efficiently crossed the blood-brain barrier, and D-CNDs significantly reduced α-syn accumulation, alleviated neuronal damage, and ameliorated cognitive function. This work underlines the critical role of chirality in modulating α-syn aggregation and provides a novel strategy for developing enantiomer-selective inhibitors for PD therapy.
科研通智能强力驱动
Strongly Powered by AbleSci AI