Literature DB >> 8772700

Computer simulation of systemic circulation and clot lysis dynamics during thrombolytic therapy that accounts for inner clot transport and reaction.

S Anand1, S L Diamond.   

Abstract

BACKGROUND: We developed a computer model to predict lysis rates of thrombi for intravenous thrombolytic regimens based on the convective/diffusive penetration of reacting and adsorbing fibrinolytic species from the circulation into the proximal face of a dissolving clot. METHODS AND
RESULTS: Solution of a one-compartment plasma model provided the dynamic concentrations of fibrinolytic species that served as inlet conditions for stimulation of the one-dimensional spatiodynamics within a dissolving fibrin clot of defined composition. The model predicted the circulating levels of tissue plasminogen activator (TPA) and plasminogen levels found in clinical trials for various intravenous therapies. To test the model predictions under in vitro conditions, plasma clots were perfused with TPA (0.1 mumol/L) and plasminogen (1.0 mumol/L) delivered at constant permeation velocity of 0.1 or 0.2 mm/min. The model provided an accurate prediction of the measured lysis front movement. For TPA administration regimens used clinically, simulations predicted clot dissolution rates that were consistent with observed reperfusion times. For unidirectional permeation, the continual accumulation of adsorbing species at the moving lysis front due to prior rounds of solubilization and rebinding was predicted to provide for a marked concentration of TPA and plasmin and the eventual depletion of antiplasmin and macroglobulin in an advancing (approximately 0.25 mm thick) lysis zone.
CONCLUSIONS: Pressure-driven permeation greatly enhances and is a primary determinant of the overall rate of clot lysis and creates a complex local reaction environment at the plasma/clot interface. With simulation of reaction and transport, it becomes possible to quantitatively link the administration regimen, plasminogena activator properties, and thrombolytic outcome.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8772700     DOI: 10.1161/01.cir.94.4.763

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  8 in total

Review 1.  Systems biology of coagulation.

Authors:  S L Diamond
Journal:  J Thromb Haemost       Date:  2013-06       Impact factor: 5.824

Review 2.  Systems Analysis of Thrombus Formation.

Authors:  Scott L Diamond
Journal:  Circ Res       Date:  2016-04-29       Impact factor: 17.367

3.  Redistribution of TPA Fluxes in the Presence of PAI-1 Regulates Spatial Thrombolysis.

Authors:  Alexey M Shibeko; Bastien Chopard; Alfons G Hoekstra; Mikhail A Panteleev
Journal:  Biophys J       Date:  2020-06-26       Impact factor: 4.033

4.  Arrhenius temperature dependence of in vitro tissue plasminogen activator thrombolysis.

Authors:  George J Shaw; Ashima Dhamija; Nazli Bavani; Kenneth R Wagner; Christy K Holland
Journal:  Phys Med Biol       Date:  2007-05-02       Impact factor: 3.609

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

Authors:  Brittany E Bannish; Nathan E Hudson
Journal:  Curr Opin Biomed Eng       Date:  2021-09-11

6.  Development of an in vitro model to study clot lysis activity of thrombolytic drugs.

Authors:  Sweta Prasad; Rajpal S Kashyap; Jayant Y Deopujari; Hemant J Purohit; Girdhar M Taori; Hatim F Daginawala
Journal:  Thromb J       Date:  2006-09-12

7.  Towards a multi-physics modelling framework for thrombolysis under the influence of blood flow.

Authors:  Andris Piebalgs; X Yun Xu
Journal:  J R Soc Interface       Date:  2015-12-06       Impact factor: 4.118

8.  Computational Simulations of Thrombolytic Therapy in Acute Ischaemic Stroke.

Authors:  Andris Piebalgs; Boram Gu; Dylan Roi; Kyriakos Lobotesis; Simon Thom; Xiao Yun Xu
Journal:  Sci Rep       Date:  2018-10-25       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.