分子洞察α-突触核蛋白颤动:拉曼光谱和机器学习方法。

IF 3.9 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
ACS Chemical Neuroscience Pub Date : 2025-02-19 Epub Date: 2025-01-28 DOI:10.1021/acschemneuro.4c00726
Nathan P Coles, Suzan Elsheikh, Agathe Quesnel, Lucy Butler, Claire Jennings, Chaimaa Tarzi, Ojodomo J Achadu, Meez Islam, Karunakaran Kalesh, Annalisa Occhipinti, Claudio Angione, Jon Marles-Wright, David J Koss, Alan J Thomas, Tiago F Outeiro, Panagiota S Filippou, Ahmad A Khundakar
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引用次数: 0

摘要

α-突触核蛋白的聚集在路易体疾病(包括帕金森病和路易体痴呆)的发生发展中起着至关重要的作用。α-synuclein的聚集途径通常包括成核、延伸和二次成核的确定序列,表现为朊病毒样扩散。本研究采用拉曼光谱和机器学习分析以及互补技术来表征纯化重组野生型α-突触核蛋白在纤颤过程中的生物分子变化。制备单体α-突触核蛋白,进行纯化,并进行7天的纤颤试验以产生预成型的原纤维。采用拉曼光谱分析α-突触核蛋白纤颤的阶段,通过透射电镜、质谱和光散射分析证实α-突触核蛋白纤颤的聚集。结合主成分分析和均匀流形近似和投影的机器学习管道用于分析拉曼光谱数据并识别显著峰,从而区分样本组。α-突触核蛋白在不同的聚集阶段均有明显的谱移。早期变化(D1)包括α-螺旋结构(1303,1330 cm-1)和β-片结构(1045 cm-1)的增加,COO-和CH2键区域(1406,1445 cm-1)的减少。到D4,这些结构变化持续存在,并伴有额外的β-薄片特征。在D7时,β-薄片氢键(1625 cm-1)和酪氨酸环呼吸(830 cm-1)的减少表明结构进一步稳定,表明从最初的螺旋结构向稳定的β-薄片和聚集的原纤维转变。此外,还发现了酪氨酸、丙氨酸、脯氨酸和谷氨酸相关峰的变化,强调了这些氨基酸在α-突触核蛋白纤颤中从α-螺旋构象状态向β-片状构象状态转变过程中的分子内相互作用。该方法提供了对α-突触核蛋白聚集的深入了解,增强了对其在路易体病病理生理和潜在诊断相关性中的作用的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Molecular Insights into α-Synuclein Fibrillation: A Raman Spectroscopy and Machine Learning Approach.

Molecular Insights into α-Synuclein Fibrillation: A Raman Spectroscopy and Machine Learning Approach.

Molecular Insights into α-Synuclein Fibrillation: A Raman Spectroscopy and Machine Learning Approach.

Molecular Insights into α-Synuclein Fibrillation: A Raman Spectroscopy and Machine Learning Approach.

The aggregation of α-synuclein is crucial to the development of Lewy body diseases, including Parkinson's disease and dementia with Lewy bodies. The aggregation pathway of α-synuclein typically involves a defined sequence of nucleation, elongation, and secondary nucleation, exhibiting prion-like spreading. This study employed Raman spectroscopy and machine learning analysis, alongside complementary techniques, to characterize the biomolecular changes during the fibrillation of purified recombinant wild-type α-synuclein protein. Monomeric α-synuclein was produced, purified, and subjected to a 7-day fibrillation assay to generate preformed fibrils. Stages of α-synuclein fibrillation were analyzed using Raman spectroscopy, with aggregation confirmed through negative staining transmission electron microscopy, mass spectrometry, and light scattering analyses. A machine learning pipeline incorporating principal component analysis and uniform manifold approximation and projection was used to analyze the Raman spectral data and identify significant peaks, resulting in differentiation between sample groups. Notable spectral shifts in α-synuclein were found in various stages of aggregation. Early changes (D1) included increases in α-helical structures (1303, 1330 cm-1) and β-sheet formation (1045 cm-1), with reductions in COO- and CH2 bond regions (1406, 1445 cm-1). By D4, these structural shifts persist with additional β-sheet features. At D7, a decrease in β-sheet H-bonding (1625 cm-1) and tyrosine ring breathing (830 cm-1) indicates further structural stabilization, suggesting a shift from initial helical structures to stabilized β-sheets and aggregated fibrils. Additionally, alterations in peaks related to tyrosine, alanine, proline, and glutamic acid were identified, emphasizing the role of these amino acids in intramolecular interactions during the transition from α-helical to β-sheet conformational states in α-synuclein fibrillation. This approach offers insight into α-synuclein aggregation, enhancing the understanding of its role in Lewy body disease pathophysiology and potential diagnostic relevance.

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来源期刊
ACS Chemical Neuroscience
ACS Chemical Neuroscience BIOCHEMISTRY & MOLECULAR BIOLOGY-CHEMISTRY, MEDICINAL
CiteScore
9.20
自引率
4.00%
发文量
323
审稿时长
1 months
期刊介绍: ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following: Neurotransmitters and receptors Neuropharmaceuticals and therapeutics Neural development—Plasticity, and degeneration Chemical, physical, and computational methods in neuroscience Neuronal diseases—basis, detection, and treatment Mechanism of aging, learning, memory and behavior Pain and sensory processing Neurotoxins Neuroscience-inspired bioengineering Development of methods in chemical neurobiology Neuroimaging agents and technologies Animal models for central nervous system diseases Behavioral research
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