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Quantitative dynamics of reversible platelet aggregation: mathematical modelling and experiments.

Aleksandra A Filkova1,2, Alexey A Martyanov1,2,3, Andrei K Garzon Dasgupta1

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Reversible platelet aggregation mechanisms were clarified using a mathematical model and light transmission aggregometry. The model explains how initial large, unstable aggregates form and then fragment, leading to reversible aggregation.

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Area of Science:

  • Biophysics
  • Hematology
  • Mathematical Biology

Background:

  • Reversible platelet aggregation upon ADP stimulation is known but mechanistically unclear.
  • Understanding this phenomenon is crucial for thrombosis and hemostasis research.

Purpose of the Study:

  • To elucidate the mechanisms underlying reversible platelet aggregation induced by ADP.
  • To develop and validate a mathematical model for platelet aggregation kinetics.

Main Methods:

  • Developed a kinetic mass-action-law-based mathematical model.
  • Performed light transmission platelet aggregometry (LTA) with ADP stimulation.
  • Utilized aggregate size monitoring via optical density fluctuations and flow cytometry.
  • Estimated model parameters using COPASI software.

Main Results:

  • The model accurately described reversible LTA curves, assuming platelets enter aggregates only once.
  • Mean aggregate size correlated with solution transparency and optical density fluctuations.
  • Model parameters correlated with ADP concentration, supporting the proposed mechanism.

Conclusions:

  • Reversible platelet aggregation results from the initial formation of large, unstable aggregates that subsequently fragment.
  • This fragmentation reduces the probability of further platelet attachment, leading to aggregation reversal.
  • The developed mathematical model provides a framework for understanding platelet aggregation dynamics.