Login / Signup

Computational Characterization of Mechanical, Hemodynamic, and Surface Interaction Conditions: Role of Protein Adsorption on the Regenerative Response of TEVGs.

Alejandra RiverosAndres J Garcia-BrandMaria A Rodriguez-SotoNestor SandovalCarolina Muñoz CamargoJuan Carlos CruzJuan C Briceño
Published in: International journal of molecular sciences (2022)
Currently available small diameter vascular grafts (<6 mm) present several long-term limitations, which has prevented their full clinical implementation. Computational modeling and simulation emerge as tools to study and optimize the rational design of small diameter tissue engineered vascular grafts (TEVG). This study aims to model the correlation between mechanical-hemodynamic-biochemical variables on protein adsorption over TEVG and their regenerative potential. To understand mechanical-hemodynamic variables, two-way Fluid-Structure Interaction (FSI) computational models of novel TEVGs were developed in ANSYS Fluent 2019R3 ® and ANSYS Transient Structural ® software. Experimental pulsatile pressure was included as an UDF into the models. TEVG mechanical properties were obtained from tensile strength tests, under the ISO7198:2016, for novel TEVGs. Subsequently, a kinetic model, linked to previously obtained velocity profiles, of the protein-surface interaction between albumin and fibrinogen, and the intima layer of the TEVGs, was implemented in COMSOL Multiphysics 5.3 ® . TEVG wall properties appear critical to understand flow and protein adsorption under hemodynamic stimuli. In addition, the kinetic model under flow conditions revealed that size and concentration are the main parameters to trigger protein adsorption on TEVGs. The computational models provide a robust platform to study multiparametrically the performance of TEVGs in terms of protein adsorption and their regenerative potential.
Keyphrases
  • stem cells
  • protein protein
  • mesenchymal stem cells
  • amino acid
  • healthcare
  • primary care
  • cell therapy
  • aqueous solution
  • type diabetes
  • cardiovascular disease
  • tissue engineering
  • brain injury
  • subarachnoid hemorrhage