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凝血酶生成动力学:填补临床药理学与治疗学中系统药理学理论与临床实践之间的差距。

Dynamics of thrombin generation: Filling the gap between the system pharmacology theory and clinical practice in clinical pharmacology and therapeutics.

作者信息

Ruiz Leire, Jaramillo Sebastian, Calvo Andrea, Torrente M A, Tassies Dolors, Reverter J C, Blasi Annabel, Troconiz Iñaki

机构信息

University of Navarra, Pamplona, Spain.

Hospital Clinic Barcelona, Barcelona, Spain.

出版信息

Pharmacol Res Perspect. 2025 Feb;13(1):e70014. doi: 10.1002/prp2.70014.

DOI:10.1002/prp2.70014
PMID:39739766
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11687557/
Abstract

Mathematical models of thrombin generation (TG) that have been developed are based on a systems biology approach. Although this approach provides important information about the coagulation system, its clinical applicability is limited by its complexity and number of input variables required. The aim of this study was to develop a semimechanistic model able to describe TG in trauma and control patients. A dataset containing longitudinal data of TG assays and coagulation factors from 40 trauma patients and 20 control patients was used for model building. The model considered three fundamental processes: the degradation of tissue factor (TF) through a first-order process, the activation of factor II by the TF through a first-order process, and the degradation of thrombin through a first-order process. Model fitting was performed using a nonlinear mixed-effects approach. The condition of the patient (trauma and control) and coagulation factors were modelled as covariates. Model building demonstrated the presence of two additional processes that improved the predictive capacity of the model: the activation of factor II by TF governed by a second-order constant and, a mechanism of factor II activation by TF characterized by a 7-compartment transit chain governed by a second-order constant. In the covariate model only the inclusion of patient condition was significant. Model evaluation demonstrated excellent performance in describing the temporal pattern of TG in trauma and control patients. Thrombin generation can be adequately modelled using a semimechanistic approach. Its application in practice could help to better assess the risk of hemorrhage and/or thrombosis in different settings.

摘要

已开发的凝血酶生成(TG)数学模型基于系统生物学方法。尽管这种方法提供了有关凝血系统的重要信息,但其临床适用性受到其复杂性和所需输入变量数量的限制。本研究的目的是开发一种能够描述创伤患者和对照患者TG的半机制模型。一个包含40名创伤患者和20名对照患者的TG检测和凝血因子纵向数据的数据集用于模型构建。该模型考虑了三个基本过程:组织因子(TF)通过一级过程降解、TF通过一级过程激活因子II以及凝血酶通过一级过程降解。使用非线性混合效应方法进行模型拟合。将患者状况(创伤和对照)和凝血因子作为协变量进行建模。模型构建表明存在另外两个过程,它们提高了模型的预测能力:TF以二阶常数控制激活因子II,以及TF激活因子II的机制,其特征为二阶常数控制的7房室转运链。在协变量模型中,仅纳入患者状况具有显著性。模型评估表明,在描述创伤患者和对照患者TG的时间模式方面表现出色。使用半机制方法可以充分模拟凝血酶生成。其在实践中的应用有助于更好地评估不同情况下出血和/或血栓形成的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce71/11687557/3c107ce729cd/PRP2-13-e70014-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce71/11687557/3c8546a37d7d/PRP2-13-e70014-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce71/11687557/74381bcc1087/PRP2-13-e70014-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce71/11687557/3c107ce729cd/PRP2-13-e70014-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce71/11687557/3c8546a37d7d/PRP2-13-e70014-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce71/11687557/74381bcc1087/PRP2-13-e70014-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce71/11687557/3c107ce729cd/PRP2-13-e70014-g003.jpg

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本文引用的文献

1
Targeted clinical control of trauma patient coagulation through a thrombin dynamics model.通过凝血酶动力学模型靶向控制创伤患者的凝血功能。
Sci Transl Med. 2017 Jan 4;9(371). doi: 10.1126/scitranslmed.aaf5045.
2
Using a Systems Pharmacology Model of the Blood Coagulation Network to Predict the Effects of Various Therapies on Biomarkers.使用凝血网络的系统药理学模型预测各种疗法对生物标志物的影响。
CPT Pharmacometrics Syst Pharmacol. 2015 Jul;4(7):396-405. doi: 10.1002/psp4.50. Epub 2015 Jun 19.
3
Overview of the coagulation system.凝血系统概述。
Indian J Anaesth. 2014 Sep;58(5):515-23. doi: 10.4103/0019-5049.144643.
4
Scale reduction of a systems coagulation model with an application to modeling pharmacokinetic-pharmacodynamic data.系统凝血模型的降尺度及其在药代动力学-药效学数据建模中的应用。
CPT Pharmacometrics Syst Pharmacol. 2014 Jan 8;3(1):e90. doi: 10.1038/psp.2013.67.
5
Basic concepts in population modeling, simulation, and model-based drug development-part 2: introduction to pharmacokinetic modeling methods.群体建模、模拟及基于模型的药物研发基础概念——第2部分:药代动力学建模方法介绍
CPT Pharmacometrics Syst Pharmacol. 2013 Apr 17;2(4):e38. doi: 10.1038/psp.2013.14.
6
Continuing education course #2: current understanding of hemostasis.继续教育课程#2:对止血的当前认识。
Toxicol Pathol. 2011 Jan;39(1):273-80. doi: 10.1177/0192623310389474. Epub 2010 Nov 30.
7
A comprehensive model for the humoral coagulation network in humans.人类体液凝血网络的综合模型。
Clin Pharmacol Ther. 2009 Sep;86(3):290-8. doi: 10.1038/clpt.2009.87. Epub 2009 Jun 10.
8
Models of blood coagulation.血液凝固模型。
Blood Cells Mol Dis. 2006 Mar-Apr;36(2):108-17. doi: 10.1016/j.bcmd.2005.12.034. Epub 2006 Feb 23.
9
Mathematical modeling and computer simulation in blood coagulation.血液凝固中的数学建模与计算机模拟。
Pathophysiol Haemost Thromb. 2005;34(2-3):60-70. doi: 10.1159/000089927.
10
Rethinking the coagulation cascade.重新审视凝血级联反应。
Curr Hematol Rep. 2005 Sep;4(5):391-6.