Literature DB >> 34045928

Review of quantitative systems pharmacological modeling in thrombosis.

Limei Cheng1, Guo-Wei Wei2, Tarek Leil1.   

Abstract

Hemostasis and thrombosis are often thought as two sides of the same clotting mechanism whereas hemostasis is a natural protective mechanism to prevent bleeding and thrombosis is a blood clot abnormally formulated inside a blood vessel, blocking the normal blood flow. The evidence to date suggests that at least arterial thrombosis results from the same critical pathways of hemostasis. Analysis of these complex processes and pathways using quantitative systems pharmacological model-based approach can facilitate the delineation of the causal pathways that lead to the emergence of thrombosis. In this paper, we provide an overview of the main molecular and physiological mechanisms associated with hemostasis and thrombosis, and review the models and quantitative system pharmacological modeling approaches that are relevant in characterizing the interplay among the multiple factors and pathways of thrombosis. An emphasis is given to computational models for drug development. Future trends are discussed.

Entities:  

Year:  2019        PMID: 34045928      PMCID: PMC8153064          DOI: 10.4310/cis.2019.v19.n3.a1

Source DB:  PubMed          Journal:  Commun Inf Syst        ISSN: 1526-7555


  65 in total

Review 1.  Thrombus formation in vivo.

Authors:  Bruce Furie; Barbara C Furie
Journal:  J Clin Invest       Date:  2005-12       Impact factor: 14.808

2.  Plasma composition distribution in cancer: Discrimination by thrombin and factor Xa generation.

Authors:  Matthew Gissel; Chris Holmes; Richard Branda; Lauren Ferris; Kathleen Brummel-Ziedins
Journal:  Thromb Res       Date:  2016-08-20       Impact factor: 3.944

3.  The tissue factor requirement in blood coagulation.

Authors:  Thomas Orfeo; Saulius Butenas; Kathleen E Brummel-Ziedins; Kenneth G Mann
Journal:  J Biol Chem       Date:  2005-10-07       Impact factor: 5.157

4.  Blood clot formation under flow: the importance of factor XI depends strongly on platelet count.

Authors:  Aaron L Fogelson; Yasmeen H Hussain; Karin Leiderman
Journal:  Biophys J       Date:  2012-01-03       Impact factor: 4.033

Review 5.  Pharmacogenomics of platelet responsiveness to aspirin.

Authors:  Nauder Faraday; Diane M Becker; Lewis C Becker
Journal:  Pharmacogenomics       Date:  2007-10       Impact factor: 2.533

Review 6.  Transport physics and biorheology in the setting of hemostasis and thrombosis.

Authors:  L F Brass; S L Diamond
Journal:  J Thromb Haemost       Date:  2016-03-30       Impact factor: 5.824

7.  Modeling the autonomic and metabolic effects of obstructive sleep apnea: a simulation study.

Authors:  Limei Cheng; Michael C K Khoo
Journal:  Front Physiol       Date:  2012-01-04       Impact factor: 4.566

8.  Editorial: The emerging discipline of quantitative systems pharmacology.

Authors:  Tarek A Leil; Sergey Ermakov
Journal:  Front Pharmacol       Date:  2015-06-30       Impact factor: 5.810

9.  Quantitative Systems Pharmacology Model to Predict the Effects of Commonly Used Anticoagulants on the Human Coagulation Network.

Authors:  S Hartmann; K Biliouris; L J Lesko; U Nowak-Göttl; M N Trame
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-09-20

10.  A local and global sensitivity analysis of a mathematical model of coagulation and platelet deposition under flow.

Authors:  Kathryn G Link; Michael T Stobb; Jorge Di Paola; Keith B Neeves; Aaron L Fogelson; Suzanne S Sindi; Karin Leiderman
Journal:  PLoS One       Date:  2018-07-26       Impact factor: 3.240

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  1 in total

Review 1.  Two heads are better than one: current landscape of integrating QSP and machine learning : An ISoP QSP SIG white paper by the working group on the integration of quantitative systems pharmacology and machine learning.

Authors:  Tongli Zhang; Ioannis P Androulakis; Peter Bonate; Limei Cheng; Tomáš Helikar; Jaimit Parikh; Christopher Rackauckas; Kalyanasundaram Subramanian; Carolyn R Cho
Journal:  J Pharmacokinet Pharmacodyn       Date:  2022-02-01       Impact factor: 2.745

  1 in total

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