Heba A. Esawii, Yersultan Arynbek, Noha Mohamed, Grigory Arzumanyan, Hanan A. Mahran
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引用次数: 0
Abstract
Alzheimer's disease (AD) is associated with the aggregation of amyloid beta (Aβ) peptides, which disrupt membrane integrity and contribute to neurodegeneration. Cholesterol, a key membrane component, plays a role in modulating these pathological events by stabilizing membrane structure and affecting protein dynamics. This study investigates how cholesterol influences membrane stability in the presence of Aβ1-42, a peptide linked to AD progression. Molecular dynamics (MD) simulations are used to model a dipalmitoylphosphatidylcholine (DPPC) lipid bilayer with cholesterol concentrations ranging from 10–50%. Aβ1-42 is modeled to examine its interaction with these cholesterol-rich membranes. Key parameters, including root mean square deviation (RMSD) for structural stability, root mean square fluctuation (RMSF) for local flexibility, and hydrogen bonding (H-bonding) are calculated to assess interactions between Aβ1-42 and the lipid bilayer. Secondary structure analysis (SSA) tracked conformational changes in Aβ1-42, focusing on transitions between alpha helices and beta sheets, which are critical for understanding peptide misfolding. Results of this study indicate that approximately (≈) 30% cholesterol concentration is optimal for enhancing peptide stability. While higher cholesterol (50%) further stabilizes the membrane, it leads to diminishing returns on peptide stability, possibly due to excessive membrane rigidity. These findings suggest that a balance between membrane rigidity and peptide flexibility is crucial for maintaining structural stability in AD.
期刊介绍:
Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including:
materials, chemistry, condensed matter physics
engineering, energy
life science, biology, medicine
atmospheric/environmental science, climate science
planetary science, astronomy, cosmology
method development, numerical methods, statistics