Developing a Computational Model of Blood Clot Contraction to Predict Hemostasis and Wound Closure

Severe hemorrhage is a leading cause of mortality, accounting for upwards of 100,000 annual deaths in North America and 1.9 million worldwide. Under this condition, in a process called hemostasis, platelets in blood aggregate to form a plug to seal the blood vessel wound. During hemostasis platelets also contract to strengthen this plug, thus generating blood clots. Although substantial knowledge of the biology and biochemistry of clot contraction has been developed, the physics and mechanics of the process remain poorly understood. It is also unclear whether clot contraction aids in pulling together and sealing the wound. The goal of this project is to develop a multi-scale computational model able to predict clot contraction and blood vessel wound closure. The model will be based on the mechanics of clot contraction and its underlying microscopic biophysical principles, validated with experimental data from modified in vitro platforms. A deeper understanding of the mechanisms regulating clot contraction can lead to the development of novel approaches in the treatment of bleeding and clotting disorders.

Faculty Supervisor:

Mattia Bacca

Student:

Partner:

Medical College of Wisconsin

Discipline:

Engineering

Sector:

Biotechnology; Life Sciences (not health); Health and Related Sciences & Technology

University:

The University of British Columbia

Program: