In vivo measurement of blood clot mechanics from computational fluid dynamics based on intravital microscopy images
Document Type
Article
Publication Date
3-1-2019
Abstract
Ischemia which leads to heart attacks and strokes is one of the major causes of death in the world. Whether an occlusion occurs or not depends on the ability of a growing thrombus to resist flow forces exerted on its structure. This manuscript provides the first known in vivo measurement of how much stress a clot can withstand, before yielding to the surrounding blood flow. Namely, Lattice-Boltzmann Method flow simulations are performed based on 3D clot geometries, which are estimated from intravital microscopy images of laser-induced injuries in cremaster microvasculature of live mice. In addition to reporting the blood clot yield stresses, we also show that the thrombus “core” does not experience significant deformation, while its “shell” does. This indicates that the shell is more prone to embolization. Therefore, drugs should be designed to target the shell selectively, while leaving the core intact to minimize excessive bleeding. Finally, we laid down a foundation for a nondimensionalization procedure which unraveled a relationship between clot mechanics and biology. Hence, the proposed framework could ultimately lead to a unified theory of thrombogenesis, capable of explaining all clotting events. Thus, the findings presented herein will be beneficial to the understanding and treatment of heart attacks, strokes and hemophilia.
Identifier
85060012587 (Scopus)
Publication Title
Computers in Biology and Medicine
External Full Text Location
https://doi.org/10.1016/j.compbiomed.2019.01.001
e-ISSN
18790534
ISSN
00104825
PubMed ID
30660757
First Page
1
Last Page
11
Volume
106
Grant
ACI-1548562
Fund Ref
National Science Foundation
Recommended Citation
Kadri, Olufemi Emmanuel; Chandran, Vishnu Deep; Surblyte, Migle; and Voronov, Roman S., "In vivo measurement of blood clot mechanics from computational fluid dynamics based on intravital microscopy images" (2019). Faculty Publications. 7754.
https://digitalcommons.njit.edu/fac_pubs/7754
