ArticleActa biomaterialia2024
Rupture mechanics of blood clots: Influence of fibrin network structure on the rupture resistance.
Article in Acta biomaterialia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Thrombin kinetics determines robust plasma clot architecture.Research and practice in thrombosis and haemostasis · 2026Article
- Fibrinogen and Fibrin as Growth Factor Regulators: Pathological Implications, and Translational Opportunities.Biomolecules · 2026Review
- Fibrin as a Versatile Fibrous Biopolymer.Sub-cellular biochemistry · 2026Review
- Molecular Creep Induced Fatigue Rupture of Fibrin Clots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Review
- Fluid effects on the fracture toughness of gels.Journal of the mechanics and physics of solids · 2025Article
- Understanding blood clot mechanical stability: the role of factor XIIIa-mediated fibrin crosslinking in rupture resistance.Research and practice in thrombosis and haemostasis · 2025Article
- Tougher clots, safer lives? Revisiting the role of factor XIII in thrombus stability and embolization risk.Research and practice in thrombosis and haemostasis · 2025Article
- Structural Mechanisms of Forced Unfolding of Double-Stranded Fibrin Oligomers.The journal of physical chemistry. B · 2025Article
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9 authors.
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Abstract
Embolization is a leading cause of mortality, yet we know little about clot rupture mechanics. Fibrin provides the main structural and mechanical stability to blood clots. Previous studies have shown that altering the concentration of coagulation activators (thrombin or tissue factor (TF)) has a significant impact on fibrin structure and viscoelastic properties, but their effects on rupture properties are mostly unknown. Toughness, which corresponds to the ability to resist rupture, is independent of viscoelastic properties. We used varying TF concentrations to alter the structure and toughness of human plasma clots. We performed single-edge notch rupture tests to examine fibrin toughness under a constant strain rate and we assessed viscoelastic mechanics using rheology. We utilized fluorescent confocal and scanning electron microscopy (SEM) to quantify the fibrin network structure under varying TF concentrations. Our results revealed that increased TF concentration resulted in increased number of fibrin fibers with a reduction in network pore size, thinner and shorter fibrin fibers. Increasing TF concentration yielded a maximum toughness at mid-TF concentration, such that fibrin diameter and number of fibers underlie a complex role in influencing the rupture resistance of blood clots, resulting in a nonmonotonic relationship between TF and toughness. A simple mechanical model, built on our findings from our Fluctuating Spring (FS) computational model, adopted to estimate the fracture toughness (critical energy release rate) as a function of TF predicts trends that are in good agreement with experiments. The differences in mechanical responses point to the importance of studying the structure-function relationships of fibrin networks, which may be predictive of the tendency for embolization. STATEMENT OF SIGNIFICANCE: Fibrin, a naturally occurring biomaterial, is the main mechanical and structural scaffold of blood clots that provides the necessary strength and stability to the clot, ensuring effective stemming of bleeding. The rupture of blood clots can result in the blockage of downstream vessels thereby blocking blood flow and oxygen supply. The fibrin network structure has been shown to influence the viscoelastic mechanical properties of clots, but has not been explored for fracture mechanics. Here, we modulate the fibrin network structure by varying the concentration of Tissue Factor (TF). Interestingly, the association between TF concentration and maximum toughness of the clots is non-monotonic. The variations in mechanical responses highlight the importance of studying the structure-function relationships of fibrin networks, as these may predict the tendency for embolization.
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