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

Journal: ACS chemical neuroscience
PMID:

Abstract

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) and β-sheet formation (1045 cm), with reductions in COO and CH bond regions (1406, 1445 cm). By D4, these structural shifts persist with additional β-sheet features. At D7, a decrease in β-sheet H-bonding (1625 cm) and tyrosine ring breathing (830 cm) 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.

Authors

  • Nathan P Coles
    School of Health & Life Sciences, Teesside University, Middlesbrough TS1 3BX, United Kingdom.
  • Suzan Elsheikh
    School of Health & Life Sciences, Teesside University, Middlesbrough TS1 3BX, United Kingdom.
  • Agathe Quesnel
    School of Health & Life Sciences, Teesside University, Middlesbrough TS1 3BX, United Kingdom.
  • Lucy Butler
    School of Health & Life Sciences, Teesside University, Middlesbrough TS1 3BX, United Kingdom.
  • Claire Jennings
    School of Health & Life Sciences, Teesside University, Middlesbrough TS1 3BX, United Kingdom.
  • Chaimaa Tarzi
    School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough TS1 3BX, United Kingdom.
  • Ojodomo J Achadu
    School of Health and Life Sciences, National Horizon Centre, Teesside University, TS1 3BA, Middlesbrough, UK.
  • Meez Islam
    School of Health & Life Sciences, Teesside University, Middlesbrough TS1 3BX, United Kingdom.
  • Karunakaran Kalesh
    School of Health & Life Sciences, Teesside University, Middlesbrough TS1 3BX, United Kingdom.
  • Annalisa Occhipinti
    Computational Systems Biology and Data Analytics Research Group, Middlebrough, UK.
  • Claudio Angione
    Department of Computer Science and Information Systems, Teesside University, Middlesbrough, United Kingdom.
  • Jon Marles-Wright
    Biosciences Institute, Cookson Building, Framlington Place, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom.
  • David J Koss
    Division of Neuroscience, School of Medicine, University of Dundee, Nethergate, Dundee DD1 4HN, Scotland.
  • Alan J Thomas
    Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom.
  • Tiago F Outeiro
    Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom.
  • Panagiota S Filippou
    School of Health & Life Sciences, Teesside University, Middlesbrough TS1 3BX, United Kingdom.
  • Ahmad A Khundakar
    School of Health & Life Sciences, Teesside University, Middlesbrough TS1 3BX, United Kingdom.