Key result
Quantitative systems pharmacology modeling aids antithrombotic drug development by mapping complex thrombosis mechanisms.
Why the study?
Quantitative systems pharmacological modeling can facilitate understanding of the complex pathways leading to thrombosis, aiding drug development.
Quantitative systems pharmacological modeling can facilitate the delineation of causal pathways in thrombosis and aid in drug development.
Answers are grounded in this paper and cite their sources.
Arterial thrombosis shares hemostatic pathways; leaves open systems pharmacology models for therapeutic targeting.
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.
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Cheng et al. (2019) conducted a review in Thrombosis. Quantitative Systems Pharmacological (QSP) Modeling was evaluated. Quantitative systems pharmacological modeling provides a mechanistic approach to characterize the complex interplay of factors in hemostasis and thrombosis, aiding in antithrombotic drug development.
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