A continuum model for platelet plug formation and growth

Storti, Federica; Kempen, van Ths Thomas; Vosse, van de Fn Frans

doi:10.1002/cnm.2623

Cited by 22 publications

(25 citation statements)

References 55 publications

(88 reference statements)

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“…During extension of platelet plug formation, activated platelets accumulate on top of the initial monolayer of platelets bound to collagen of the sub-endothelium [3]. Expressed receptors on each platelet allow binding of agonists such as ADP, thrombin, and thromboxane A 2 , which are released from activated platelets [31].…”

Section: Platelet Structure and Functionsmentioning

confidence: 99%

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Platelets in the Newborn

Esiaba¹,

Mousselli²,

Faison³

et al. 2019

Neonatal Medicine

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Platelets were first described in the mid-nineteenth century. Since then, their roles were identified in hemostasis and thrombosis, inflammation, leukocyte interactions, angiogenesis, and cancer growth. But there is little information about such platelet functions in the newborn. Several studies highlighted some platelet differences between newborns and adults. Yet, in spite of these differences, healthy newborns appear to be adequately protected. A number of factors, however, were reported to negatively affect neonatal platelets. These include maternal hypertensive disorders or infections, neonatal asphyxia or respiratory distress, therapies such as ampicillin or indomethacin, and treatment modalities such as ventilators, nitric oxide, or extracorporeal membrane oxygenation (ECMO). Their effects on newborn platelets are usually transitory, lasting from several hours to a few days or weeks. If these effects are well characterized, they could serve as reporters for diagnosis and monitoring during therapy. Careful studies of neonatal platelets are needed to improve the understanding of basic physiology and pathophysiology in this cohort and to identify possible targets for intervention and therapy.

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Section: Platelet Structure and Functionsmentioning

confidence: 99%

“…Platelets mediate primary hemostasis, a dynamic process involving several reactions resulting in thrombus formation. Initially, platelets aggregate to form a platelet plug at the site of injury [3,4]. In secondary hemostasis, thrombin is generated after a cascade of enzymatic reactions.…”

Section: Introductionmentioning

confidence: 99%

Platelets in the Newborn

Esiaba¹,

Mousselli²,

Faison³

et al. 2019

Neonatal Medicine

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“…Coagulation network models focus on the development of mathematical descriptions of the reactions that take place during the clotting process, without flow . The defining feature of platelet models is that the processes governing adhesion, activation, accumulation and aggregation of platelets are central to model formulation and setup . Reaction‐mass transport systems aim to couple biochemical reactions with blood flow and examine the effect that the two systems have on each other .…”

Section: Introductionmentioning

confidence: 99%

Computational modelling of clot development in patient‐specific cerebral aneurysm cases

Ngoepe

Ventikos

2016

Journal of Thrombosis and Haemostasis

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Essentials• Clotting in cerebral aneurysms is a process that can either stabilize the aneurysm or lead to rupture.• A patient-specific computational model capable of predicting cerebral aneurysm thrombosis is presented.• The different clotting outcomes highlight the importance of personalization of treatment.• Once validated, the model can be used to tailor treatment and to clarify clotting processes in aneurysms.Summary. Background: In cerebral aneurysms, clotting can either stabilize the aneurysm sac via aneurysm occlusion, or it can have a detrimental effect by giving rise to embolic occlusion. Objective: The work presented in this study details the development of an in silico model that combines all the salient, clinically relevant features of cerebral aneurysm clotting. A comprehensive computational model of clotting that accounts for biochemical complexity coupled with three-dimensional hemodynamics in image-derived patient aneurysms and in the presence of virtually implanted interventional devices is presented. Methods: The model is developed and presented in two stages. First, a two-dimensional computational model of clotting is presented for an idealized geometry. This enables verification of the methods with existing, physiological data before the pathological state is considered.This model is used to compare the results predicted by two different underlying biochemical cascades. The twodimensional model is then extended to image-derived, three-dimensional aneurysmal topologies by incorporating level set methods, demonstrating the potential use of this model. Results and conclusion: As a proof of concept, comparisons are then made between treated and untreated aneurysms. The prediction of different clotting outcomes for different patients demonstrates that with further development, refinement and validation, this methodology could be used for patient-specific interventional planning.

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“…Computational modeling helps in understanding the mechanics of blood clot formation and its role in physiological circumstances (4,5). These simulations are complicated due to the complexity of the flow and the interaction between fluids and solids (6). Nevertheless, the model should take into account the structural composition of the developing blood clot.…”

Section: Introductionmentioning

confidence: 99%

A Constitutive Model for a Maturing Fibrin Network

Kempen

Bogaerds

Peters

et al. 2014

Biophysical Journal

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Blood clot formation is crucial to maintain normal physiological conditions but at the same time involved in many diseases. The mechanical properties of the blood clot are important for its functioning but complicated due to the many processes involved. The main structural component of the blood clot is fibrin, a fibrous network that forms within the blood clot, thereby increasing its mechanical rigidity. A constitutive model for the maturing fibrin network is developed that captures the evolving mechanical properties. The model describes the fibrin network as a network of fibers that become thicker in time. Model parameters are related to the structural properties of the network, being the fiber length, bending stiffness, and mass-length ratio. Results are compared with rheometry experiments in which the network maturation is followed in time for various loading frequencies and fibrinogen concentrations. Three parameters are used to capture the mechanical behavior including the mass-length ratio. This parameter agrees with values determined using turbidimetry experiments and is subsequently used to derive the number of protofibrils and fiber radius. The strength of the model is that it describes the mechanical properties of the maturing fibrin network based on it structural quantities. At the same time the model is relatively simple, which makes it suitable for advanced numerical simulations of blood clot formation during flow in blood vessels.

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A continuum model for platelet plug formation and growth

Cited by 22 publications

References 55 publications

Platelets in the Newborn

Platelets in the Newborn

Computational modelling of clot development in patient‐specific cerebral aneurysm cases

A Constitutive Model for a Maturing Fibrin Network

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