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Method for the simulation of blood platelet shape and its evolution during activation.
Moskalensky, Alexander E; Yurkin, Maxim A; Muliukov, Artem R; Litvinenko, Alena L; Nekrasov, Vyacheslav M; Chernyshev, Andrei V; Maltsev, Valeri P.
Afiliação
  • Moskalensky AE; Novosibirsk State University, Novosibirsk, Russia.
  • Yurkin MA; Voevodsky Institute of Chemical Kinetics and Combustion SB RAS, Novosibirsk, Russia.
  • Muliukov AR; Novosibirsk State University, Novosibirsk, Russia.
  • Litvinenko AL; Voevodsky Institute of Chemical Kinetics and Combustion SB RAS, Novosibirsk, Russia.
  • Nekrasov VM; Novosibirsk State University, Novosibirsk, Russia.
  • Chernyshev AV; Voevodsky Institute of Chemical Kinetics and Combustion SB RAS, Novosibirsk, Russia.
  • Maltsev VP; Novosibirsk State University, Novosibirsk, Russia.
PLoS Comput Biol ; 14(3): e1005899, 2018 03.
Article em En | MEDLINE | ID: mdl-29518073
ABSTRACT
We present a simple physically based quantitative model of blood platelet shape and its evolution during agonist-induced activation. The model is based on the consideration of two major cytoskeletal elements the marginal band of microtubules and the submembrane cortex. Mathematically, we consider the problem of minimization of surface area constrained to confine the marginal band and a certain cellular volume. For resting platelets, the marginal band appears as a peripheral ring, allowing for the analytical solution of the minimization problem. Upon activation, the marginal band coils out of plane and forms 3D convoluted structure. We show that its shape is well approximated by an overcurved circle, a mathematical concept of closed curve with constant excessive curvature. Possible mechanisms leading to such marginal band coiling are discussed, resulting in simple parametric expression for the marginal band shape during platelet activation. The excessive curvature of marginal band is a convenient state variable which tracks the progress of activation. The cell surface is determined using numerical optimization. The shapes are strictly mathematically defined by only three parameters and show good agreement with literature data. They can be utilized in simulation of platelets interaction with different physical fields, e.g. for the description of hydrodynamic and mechanical properties of platelets, leading to better understanding of platelets margination and adhesion and thrombus formation in blood flow. It would also facilitate precise characterization of platelets in clinical diagnosis, where a novel optical model is needed for the correct solution of inverse light-scattering problem.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plaquetas / Ativação Plaquetária / Biologia Computacional / Forma Celular Idioma: En Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Federação Russa

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plaquetas / Ativação Plaquetária / Biologia Computacional / Forma Celular Idioma: En Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Federação Russa