Reducing the assemblies of amyloid-beta multimers by sodium dodecyl sulfate surfactant at concentrations lower than

Hamed Zahraee1,2,3, Fatemeh Mohammadi1,2,3, Elahe Parvaee4

  • 1Targeted Drug Delivery Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.

Insights

Sodium dodecyl sulfate (SDS) at low concentrations inhibits amyloid-β(1-42) peptide aggregation, a key factor in Alzheimer's disease (AD). This finding offers potential therapeutic strategies for AD by preventing toxic Aβ1-42 fibril formation.

Area of Science:

  • Biochemistry
  • Neuroscience
  • Computational Biology

Background:

  • Alzheimer's disease (AD) is linked to amyloid-β (Aβ) peptide aggregation, particularly the toxic Aβ1-42 isoform.
  • Cellular medium components influence Aβ1-42 structure and aggregation.
  • Understanding Aβ1-42 interactions is crucial for developing AD therapies.

Purpose of the Study:

  • Investigate the effect of low sodium dodecyl sulfate (SDS) concentrations on Aβ1-42 aggregation.
  • Determine how SDS influences Aβ1-42 peptide structure and interaction.
  • Evaluate SDS as a potential inhibitor of Aβ1-42 fibril formation.

Main Methods:

  • Employed molecular dynamics simulations (300 ns) on Aβ1-42 monomers, dimers, trimers, and tetramers.
  • Studied Aβ1-42 peptide systems with 10 and 40 SDS molecules.
  • Analyzed center of mass distances, compactness parameters, and free energy landscape (FEL) profiles.

Main Results:

  • Increased SDS molecules reduced Aβ1-42 aggregation probability due to enhanced peptide-SDS interactions.
  • Reduced peptide compactness indicated decreased aggregation propensity.
  • SDS concentrations near the critical micelle concentration (CMC) showed significant inhibitory effects on Aβ1-42 fibril formation.

Conclusions:

  • Low concentrations of SDS effectively inhibit Aβ1-42 aggregation, suggesting a therapeutic potential for Alzheimer's disease.
  • SDS interaction modulates Aβ1-42 peptide structure, preventing the formation of toxic aggregates.
  • Predicting aggregation direction through accumulation-deterrent forces offers insights into therapeutic intervention strategies.

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