Conformational Changes and Unfolding of β-Amyloid Substrates in the Active Site of γ-Secretase

Int J Mol Sci. 2024 Feb 22;25(5):2564. doi: 10.3390/ijms25052564.

Abstract

Alzheimer's disease (AD) is the leading cause of dementia and is characterized by a presence of amyloid plaques, composed mostly of the amyloid-β (Aβ) peptides, in the brains of AD patients. The peptides are generated from the amyloid precursor protein (APP), which undergoes a sequence of cleavages, referred as trimming, performed by γ-secretase. Here, we investigated conformational changes in a series of β-amyloid substrates (from less and more amyloidogenic pathways) in the active site of presenilin-1, the catalytic subunit of γ-secretase. The substrates are trimmed every three residues, finally leading to Aβ40 and Aβ42, which are the major components of amyloid plaques. To study conformational changes, we employed all-atom molecular dynamics simulations, while for unfolding, we used steered molecular dynamics simulations in an implicit membrane-water environment to accelerate changes. We have found substantial differences in the flexibility of extended C-terminal parts between more and less amyloidogenic pathway substrates. We also propose that the positively charged residues of presenilin-1 may facilitate the stretching and unfolding of substrates. The calculated forces and work/energy of pulling were exceptionally high for Aβ40, indicating why trimming of this substrate is so infrequent.

Keywords: Alzheimer’s disease; beta-amyloid; gamma-secretase; membrane proteolysis; substrate trimming.

MeSH terms

  • Alzheimer Disease* / metabolism
  • Amyloid Precursor Protein Secretases* / metabolism
  • Amyloid beta-Peptides / metabolism
  • Catalytic Domain
  • Humans
  • Plaque, Amyloid
  • Presenilin-1 / metabolism

Substances

  • Amyloid Precursor Protein Secretases
  • Presenilin-1
  • Amyloid beta-Peptides

Grants and funding

This research was funded by the National Science Centre, Poland, grant OPUS 2016/23/B/NZ2/03247 to S.F. The calculations were done partly at the Interdisciplinary Centre for Mathematical and Computational Modelling in Warsaw (grant no. G07-13 to S.F.).