The Utility and Potential of Mathematical Models in Predicting Fibrinolytic Outcomes.

clot contraction fiber tension fibrinolysis inhibitors mathematical model thrombolysis

Journal

Current opinion in biomedical engineering
ISSN: 2468-4511
Titre abrégé: Curr Opin Biomed Eng
Pays: England
ID NLM: 101704011

Informations de publication

Date de publication:
Dec 2021
Historique:
entrez: 27 12 2021
pubmed: 28 12 2021
medline: 28 12 2021
Statut: ppublish

Résumé

The enzymatic degradation of blood clots, fibrinolysis, is an important part of a healthy hemostatic system. If intrinsic fibrinolysis is ineffective, thrombolysis - the clinically-induced enzymatic degradation of blood clots - may be necessary to treat life-threatening conditions. In this review we discuss recent models of fibrinolysis and thrombolysis, and open questions that could be resolved through modeling and modeling-experimental collaboration. In particular, we focus on 2- and 3-dimensional models that can be used to study effects of fibrin network structure and realistic blood vessel geometries on the phenomena underlying lytic outcomes. Significant open questions such as the role of clot contraction, network and inherent fiber tension, and fibrinolytic inhibitors in lysis could benefit from mathematical models aimed at understanding the underlying biological mechanisms.

Identifiants

pubmed: 34957356
doi: 10.1016/j.cobme.2021.100337
pmc: PMC8694003
mid: NIHMS1740067
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIGMS NIH HHS
ID : F32 GM113432
Pays : United States
Organisme : NHLBI NIH HHS
ID : R15 HL148842
Pays : United States
Organisme : NHLBI NIH HHS
ID : R15 HL150666
Pays : United States

Déclaration de conflit d'intérêts

Conflict of interest statement The authors declare no conflict of interest. Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Brittany E Bannish (BE)

Department of Mathematics and Statistics, University of Central Oklahoma, Edmond, OK 73034, USA.
Center for Interdisciplinary Biomedical Education and Research, University of Central Oklahoma, Edmond, OK 73034, USA.

Nathan E Hudson (NE)

Nathan E. Hudson, Department of Physics, East Carolina University, Greenville, NC 27858, USA.

Classifications MeSH