A particle-based computational model to analyse remodelling of the red blood cell cytoskeleton during malaria

Julia Jäger1,2, Pintu Patra1,2, Cecilia P Sanchez3

  • 1Institute for Theoretical Physics, Heidelberg University, Heidelberg, Germany.

Insights

Malaria parasite Plasmodium falciparum alters red blood cell mechanics by mining actin and forming knobs. Computational models reveal how actin depletion softens cells, while knob formation stiffens them, impacting disease progression.

Area of Science:

  • Biophysics
  • Cell Biology
  • Computational Biology

Background:

  • Red blood cells (RBCs) possess mechanical resilience due to their plasma membrane and spectrin-actin cytoskeleton.
  • Infection by Plasmodium falciparum, the malaria parasite, disrupts RBC mechanics through actin sequestration and knob formation.

Purpose of the Study:

  • To mechanistically understand how malaria parasite infection transforms RBC mechanical properties.
  • To investigate the roles of actin mining and knob-associated histidine-rich protein (KAHRP) clustering in RBC structural changes.

Main Methods:

  • Developed a particle-based computational model of the RBC cytoskeleton.
  • Simulated RBC mechanics using Brownian dynamics, incorporating spectrin chains, actin protofilaments, and KAHRP binding.
  • Compared simulation results with super-resolution imaging experiments.

Main Results:

  • Simulations predicted distinct mechanical responses to actin mining (decreased shear modulus) and KAHRP-mediated knob formation (increased shear modulus).
  • Demonstrated that dynamic changes in KAHRP binding affinities explain its relocalization from ankyrin to actin complexes.
  • Achieved qualitative agreement between computational pair cross-correlations and experimental super-resolution imaging data.

Conclusions:

  • The study provides a mechanistic model for RBC mechanical alterations during malaria infection.
  • KAHRP dynamics and clustering are critical in modulating RBC mechanics in response to Plasmodium falciparum.
  • Computational modeling combined with experimental imaging offers powerful insights into host-pathogen interactions.