Review of Quantitative Systems Pharmacological Modeling in Thrombosis

TL;DR

This paper reviews how quantitative systems pharmacological models help understand the complex mechanisms of thrombosis and their application in drug development, highlighting current models and future directions.

Contribution

It provides a comprehensive overview of modeling approaches for thrombosis, emphasizing their role in elucidating pathways and aiding drug development.

Findings

Models clarify causal pathways of thrombosis

Computational approaches assist in drug development

Future trends in modeling are discussed

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.