Probing interactions of red blood cells and contracting fibrin platelet clots.


Journal

Biophysical journal
ISSN: 1542-0086
Titre abrégé: Biophys J
Pays: United States
ID NLM: 0370626

Informations de publication

Date de publication:
07 11 2023
Historique:
received: 16 03 2023
revised: 01 06 2023
accepted: 10 08 2023
pmc-release: 07 11 2024
medline: 10 11 2023
pubmed: 20 8 2023
entrez: 20 8 2023
Statut: ppublish

Résumé

Contraction of blood clots plays an important role in blood clotting, a natural process that restores hemostasis and regulates thrombosis in the body. Upon injury, a chain of events culminate in the formation of a soft plug of cells and fibrin fibers attaching to wound edges. Platelets become activated and apply contractile forces to shrink the overall clot size, modify clot structure, and mechanically stabilize the clot. Impaired blood clot contraction results in unhealthy volumetric, mechanical, and structural properties of blood clots associated with a range of severe medical conditions for patients with bleeding and thrombotic disorders. Due to the inherent mechanical complexity of blood clots and a confluence of multiple interdependent factors governing clot contraction, the mechanics and dynamics of clot contraction and the interactions with red blood cells (RBCs) remain elusive. Using an experimentally informed, physics-based mesoscale computational model, we probe the dynamic interactions among platelets, fibrin polymers, and RBCs, and examine the properties of contracted blood clots. Our simulations confirm that RBCs strongly affect clot contraction. We find that RBC retention and compaction in thrombi can be solely a result of mechanistic contraction of fibrin mesh due to platelet activity. Retention of RBCs hinders clot contraction and reduces clot contractility. Expulsion of RBCs located closer to clot outer surface results in the development of a dense fibrin shell in thrombus clots commonly observed in experiments. Our simulations identify the essential parameters and interactions that control blood clot contraction process, highlighting its dependence on platelet concentration and the initial clot size. Furthermore, our computational model can serve as a useful tool in clinically relevant studies of hemostasis and thrombosis disorders, and post thrombotic clot lysis, deformation, and breaking.

Identifiants

pubmed: 37598293
pii: S0006-3495(23)00509-X
doi: 10.1016/j.bpj.2023.08.009
pmc: PMC10645547
pii:
doi:

Substances chimiques

Fibrin 9001-31-4

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

4123-4134

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2023 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

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Auteurs

Yueyi Sun (Y)

George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia; Department of Mechanical Engineering, Lafayette College, Easton, Pennsylvania.

Hoyean Le (H)

George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia.

Wilbur A Lam (WA)

Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, Georgia; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia; Winship Cancer Institute of Emory University, Atlanta, Georgia; Parker H. Petit Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia; Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, Georgia.

Alexander Alexeev (A)

George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia. Electronic address: alexander.alexeev@me.gatech.edu.

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Classifications MeSH