The protein alpha-synuclein (AS) is the primary fibrillar component of Lewy bodies, the pathological hallmark of Parkinson's disease. Wild-type human AS and the three mutant forms linked to Parkinson's disease (A53T, A30P, and E46K) all form fibrils through a nucleation-dependent pathway; however, the biophysical details of these fibrillation events are not yet well understood. Atomic-level structural insight is required in order to elucidate the potential role of AS fibrils in Parkinson's disease. Here we show that low temperature acquisition of magic-angle spinning NMR spectra of wild type AS fibrils-greatly enhances spectral sensitivity, enabling the detection of a substantially larger number of spin systems. At 0 +/- 3 degrees C sample temperature, cross polarization (CP) experiments yield weak signals. Lower temperature spectra (-40 +/- 3 degrees C) demonstrated several times greater signal intensity, an effect further amplified in 3D 15N-13C-13C experiments, which are required to perform backbone assignments on this sample. Thus 3D experiments enabled assignments of most amino acids in the rigid part of the fibril (approximately residues 64 to 94), as well as tentative site-specific assignments for T22, V26, A27, Y39, G41, S42, H50, V52, A53, T54, V55, V63, A107, I112, and S129. Most of these signals were not observed in 2D or 3D spectra at 0 +/- 3 degrees C. Spectra acquired at low temperatures therefore permitted more complete chemical shift assignments. Observation of the majority of residues in AS fibrils represents an important step towards solving the 3D structure.
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http://dx.doi.org/10.1007/s10858-007-9189-z | DOI Listing |
Phys Eng Sci Med
January 2025
Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bangalore, India.
Parkinson Disease (PD) is a complex neurological disorder attributed by loss of neurons generating dopamine in the SN per compacta. Electroencephalogram (EEG) plays an important role in diagnosing PD as it offers a non-invasive continuous assessment of the disease progression and reflects these complex patterns. This study focuses on the non-linear analysis of resting state EEG signals in PD, with a gender-specific, brain region-specific, and EEG band-specific approach, utilizing recurrence plots (RPs) and machine learning (ML) algorithms for classification.
View Article and Find Full Text PDFMov Disord
January 2025
Department of Neuroscience, Imaging, and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
Alzheimers Dement
January 2025
Center for Motor Neuron Biology and Disease, Columbia University Medical Center, New York, New York, USA.
This proceedings article summarizes the inaugural "T Cells in the Brain" symposium held at Columbia University. Experts gathered to explore the role of T cells in neurodegenerative diseases. Key topics included characterization of antigen-specific immune responses, T cell receptor (TCR) repertoire, microbial etiology in Alzheimer's disease (AD), and microglia-T cell crosstalk, with a focus on how T cells affect neuroinflammation and AD biomarkers like amyloid beta and tau.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
Introduction: We aimed to compare gait between individuals with Alzheimer's disease (AD), dementia with Lewy bodies (DLB), and cognitively unimpaired (CU) individuals and to evaluate the association between gait and regional amyloid beta (Aβ) burden in AD and DLB.
Methods: We included 420 participants (70 AD, 70 DLB, 280 CU) in the Mayo Clinic Study of Aging (MCSA). Gait was assessed using a pressure-sensor walkway.
Front Aging Neurosci
January 2025
School of Nursing, Nanjing Medical University, Nanjing, China.
Aims: In light of the escalating global incidence of Parkinson's disease and the dearth of therapeutic interventions that can alter the disease's course, there exists an urgent necessity to comprehensively elucidate and quantify the disease's global burden.
Methods: This study analyzed the incidence, prevalence, and disability-adjusted life years (DALYs) of Parkinson's disease at global, regional, and national levels based on the Global Burden of Disease Study 2021. Bayesian age-period cohort (BAPC) analysis was used to predict the burden in Parkinson's disease from 2022 to 2035.
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