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Revised model of the tissue factor pathway of thrombin generation: Role of the feedback activation of FXI

凝血酶生成 组织因子 凝血酶 因子XI 凝血因子 医学 化学 内科学 凝结 血小板
作者
Hari Hara Sudhan Lakshmanan,Aldrich Estonilo,Stéphanie E. Reitsma,Alexander R. Melrose,Jayaram Subramanian,Tony J. Zheng,Jeevan Maddala,Erik I. Tucker,David Gailani,Owen J. T. McCarty,Patrick Jurney,Cristina Puy
出处
期刊:Journal of Thrombosis and Haemostasis [Elsevier BV]
卷期号:20 (6): 1350-1363 被引量:17
标识
DOI:10.1111/jth.15716
摘要

BackgroundBiochemical reaction networks are self‐regulated in part due to feedback activation mechanisms. The tissue factor (TF) pathway of blood coagulation is a complex reaction network controlled by multiple feedback loops that coalesce around the serine protease thrombin.ObjectivesOur goal was to evaluate the relative contribution of the feedback activation of coagulation factor XI (FXI) in TF‐mediated thrombin generation using a comprehensive systems‐based analysis.Materials and MethodsWe developed a systems biology model that improves the existing Hockin‐Mann (HM) model through an integrative approach of mathematical modeling and in vitro experiments. Thrombin generation measured using in vitro assays revealed that the feedback activation of FXI contributes to the propagation of thrombin generation based on the initial concentrations of TF or activated coagulation factor X (FXa). We utilized experimental data to improve the robustness of the HM model to capture thrombin generation kinetics without a role for FXI before including the feedback activation of FXI by thrombin to construct the extended (ext.) HM model.Results and ConclusionsUsing the ext.HM model, we predicted that the contribution of positive feedback of FXI activation by thrombin can be abolished by selectively eliminating the inhibitory function of tissue factor pathway inhibitor (TFPI), a serine protease inhibitor of FXa and TF‐activated factor VII (FVIIa) complex. This prediction from the ext.HM model was experimentally validated using thrombin generation assays with function blocking antibodies against TFPI and plasmas depleted of FXI. Together, our results demonstrate the applications of combining experimental and modeling techniques in predicting complex biochemical reaction systems.

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