Phenotype gradation of human saphenous vein endothelial cells from cardiovascular disease subjects

C Krishna Prasad1, K Jayakumar, Lissy K Krishnan

  • 1Thrombosis Research Unit, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India.

Insights

A novel biomimetic matrix model helps study endothelial cell (EC) function in cardiovascular diseases (CVDs). This model better maintains EC phenotype, crucial for understanding EC dysfunction and developing targeted therapies.

Area of Science:

  • Vascular Biology
  • Biomaterials Science
  • Cardiovascular Research

Background:

  • Endothelial cell (EC) phenotype alterations are key in cardiovascular diseases (CVDs), but their relationship with extracellular matrix (ECM) changes is unclear.
  • In vitro EC studies are limited by dedifferentiation in subcultures, hindering research into EC dysfunction.

Purpose of the Study:

  • To characterize the phenotype of human saphenous vein endothelial cells (HSVECs) from CVD patients using an in vitro biomimetic matrix model.
  • To assess the influence of matrix composition on EC phenotype, proliferation, and apoptosis.

Main Methods:

  • Cultured HSVECs from CVD patients on a biomimetic matrix and conventional polystyrene.
  • Analyzed mRNA expression and synthesis of key molecules: von Willebrand factor (vWF), plasminogen activation inhibitor (PAI), tissue plasminogen activator (t-PA), and endothelial nitric oxide synthetase (eNOS).
  • Compared proliferation and apoptosis rates across passages on both matrices.

Main Results:

  • Early passages showed overexpression of prothrombotic factors (vWF, PAI) and underexpression of antithrombotic factors (t-PA, eNOS) on the model matrix.
  • With increased passages on the model matrix, prothrombotic factor expression decreased while antithrombotic factor expression increased.
  • Conventional matrices led to further amplification of prothrombotic factors and reduction of antithrombotic factors over passages; the model matrix supported better HSVEC proliferation and survival.

Conclusions:

  • Matrix composition significantly influences the switching of EC phenotypes between prothrombotic and antithrombotic states.
  • The biomimetic matrix model is suitable for studying exogenous factor effects on EC dysfunction in CVD contexts.
  • This model offers a more physiologically relevant platform for investigating EC behavior in cardiovascular research.