1
|
Lakshmanan HHS, Estonilo A, Reitsma SE, Melrose AR, Subramanian J, Zheng TJ, Maddala J, Tucker EI, Gailani D, McCarty OJT, Jurney PL, Puy C. Revised model of the tissue factor pathway of thrombin generation: Role of the feedback activation of FXI. J Thromb Haemost 2022; 20:1350-1363. [PMID: 35352494 PMCID: PMC9590754 DOI: 10.1111/jth.15716] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/26/2022] [Accepted: 03/16/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Biochemical 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. OBJECTIVES Our 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 METHODS We 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 CONCLUSIONS Using 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.
Collapse
Affiliation(s)
| | - Aldrich Estonilo
- Department of Biomedical Engineering, San Jose State University, San Jose, California, USA
| | - Stéphanie E. Reitsma
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA
| | - Alexander R. Melrose
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA
| | | | - Tony J. Zheng
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA
| | - Jeevan Maddala
- Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA
| | - Erik I. Tucker
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA
- Aronora, Inc., Portland, Oregon, USA
| | - David Gailani
- Department of Pathology, Microbiology and Immunology, Vanderbilt University, Nashville, Tennessee, USA
| | - Owen J. T. McCarty
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA
| | - Patrick L. Jurney
- Department of Biomedical Engineering, San Jose State University, San Jose, California, USA
| | - Cristina Puy
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA
| |
Collapse
|
2
|
Combining mathematical modelling and deep learning to make rapid and explainable predictions of the patient-specific response to anticoagulant therapy under venous flow. Math Biosci 2022; 349:108830. [DOI: 10.1016/j.mbs.2022.108830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 04/19/2022] [Accepted: 04/21/2022] [Indexed: 11/19/2022]
|
3
|
Ham HO, Haller CA, Su G, Dai E, Patel MS, Liu DR, Liu J, Chaikof EL. A rechargeable anti-thrombotic coating for blood-contacting devices. Biomaterials 2021; 276:121011. [PMID: 34303154 PMCID: PMC8405571 DOI: 10.1016/j.biomaterials.2021.121011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 07/01/2021] [Accepted: 07/04/2021] [Indexed: 12/24/2022]
Abstract
Despite the potential of anti-thrombogenic coatings, including heparinized surfaces, to improve the performance of blood-contacting devices, the inevitable deterioration of bioactivity remains an important factor in device failure and related thrombotic complications. As a consequence, the ability to restore the bioactivity of a surface coating after implantation of a blood-contacting device provides a potentially important strategy to enhance its clinical performance. Here, we report the regeneration of a multicomponent anti-thrombogenic coating through use of an evolved sortase A to mediate reversible transpeptidation. Both recombinant thrombomodulin and a chemoenzymatically synthesized ultra-low molecular weight heparin were repeatedly and selectively immobilized or removed in a sequential, alternating, or simultaneous manner. The generation of activated protein C (aPC) and inhibition of activated factor X (FXa) was consistent with the molecular composition of the surface. The fabrication of a rechargeable anti-thrombogenic surface was demonstrated on an expanded polytetrafluoroethylene (ePTFE) vascular graft with reconstitution of the surface bound coating 4 weeks after in vivo implantation in a rat model.
Collapse
Affiliation(s)
- Hyun Ok Ham
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | - Carolyn A Haller
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | - Guowei Su
- Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina, Rm 1044, Genetic Medicine Building, Chapel Hill, NC, 27599, USA
| | - Erbin Dai
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | - Madhukar S Patel
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | - David R Liu
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, 02142, USA; Department of Chemistry and Chemical Biology, Harvard University, Howard Hughes Medical Institute, Cambridge, MA, 02138, USA
| | - Jian Liu
- Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina, Rm 1044, Genetic Medicine Building, Chapel Hill, NC, 27599, USA
| | - Elliot L Chaikof
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA; Wyss Institute of Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA.
| |
Collapse
|
4
|
Modeling Thrombin Generation in Plasma under Diffusion and Flow. Biophys J 2020; 119:162-181. [PMID: 32544388 DOI: 10.1016/j.bpj.2020.04.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/03/2020] [Accepted: 04/23/2020] [Indexed: 11/21/2022] Open
Abstract
We investigate the capacity of published numerical models of thrombin generation to reproduce experimentally observed threshold behavior under conditions in which diffusion and/or flow are important. Computational fluid dynamics simulations incorporating species diffusion, fluid flow, and biochemical reactions are compared with published data for thrombin generation in vitro in 1) quiescent plasma exposed to patches of tissue factor and 2) plasma perfused through a capillary coated with tissue factor. Clot time is correctly predicted in individual cases, and some models qualitatively replicate thrombin generation thresholds across a series of tissue factor patch sizes or wall shear rates. Numerical results suggest that there is not a genuine patch size threshold in quiescent plasma-clotting always occurs given enough time-whereas the shear rate threshold observed under flow is a genuine physical limit imposed by flow-mediated washout of active coagulation factors. Despite the encouraging qualitative results obtained with some models, no single model robustly reproduces all experiments, demonstrating that greater understanding of the underlying reaction network, and particularly of surface reactions, is required. In this direction, additional simulations provide evidence that 1) a surface-localized enzyme, speculatively identified as meizothrombin, is significantly active toward the fluorescent thrombin substrate used in the experiments or, less likely, 2) thrombin is irreversibly inhibited at a faster-than-expected rate, possibly explained by a stimulatory effect of plasma heparin on antithrombin. These results highlight the power of simulation to provide novel mechanistic insights that augment experimental studies and build our understanding of complex biophysicochemical processes. Further validation work is critical to unleashing the full potential of coagulation models as tools for drug development and personalized medicine.
Collapse
|
5
|
Microfluidic and computational study of structural properties and resistance to flow of blood clots under arterial shear. Biomech Model Mechanobiol 2019; 18:1461-1474. [PMID: 31055691 PMCID: PMC6748893 DOI: 10.1007/s10237-019-01154-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 04/20/2019] [Indexed: 01/01/2023]
Abstract
The ability of a blood clot to modulate blood flow is determined by the clot’s resistance, which depends on its structural features. For a flow with arterial shear, we investigated the characteristic patterns relating to clot shape, size, and composition on the one hand, and its viscous resistance, intraclot axial flow velocity, and shear distributions on the other. We used microfluidic technology to measure the kinetics of platelet, thrombin, and fibrin accumulation at a thrombogenic surface coated with collagen and tissue factor (TF), the key clot-formation trigger. We subsequently utilized the obtained data to perform additional calibration and validation of a detailed computational fluid dynamics model of spatial clot growth under flow. We then ran model simulations to gain insights into the resistance of clots formed under our experimental conditions. We found that increased thrombogenic surface length and TF surface density enhanced the bulk thrombin and fibrin generation in a nonadditive, synergistic way. The height of the platelet deposition domain—and, therefore, clot occlusivity—was rather robust to thrombogenic surface length and TF density variations, but consistently increased with time. Clot viscous resistance was non-uniform and tended to be higher in the fibrin-rich, inner “core” region of the clot. Interestingly, despite intraclot structure and viscous resistance variations, intraclot flow velocity variations were minor compared to the abrupt decrease in flow velocity around the platelet deposition region. Our results shed new light on the connection between the structure of clots under arterial shear and spatiotemporal variations in their resistance to flow.
Collapse
|
6
|
In situ regeneration of bioactive coatings enabled by an evolved Staphylococcus aureus sortase A. Nat Commun 2016; 7:11140. [PMID: 27073027 PMCID: PMC4833859 DOI: 10.1038/ncomms11140] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2015] [Accepted: 02/24/2016] [Indexed: 11/08/2022] Open
Abstract
Surface immobilization of bioactive molecules is a central paradigm in the design of implantable devices and biosensors with improved clinical performance capabilities. However, in vivo degradation or denaturation of surface constituents often limits the long-term performance of bioactive films. Here we demonstrate the capacity to repeatedly regenerate a covalently immobilized monomolecular thin film of bioactive molecules through a two-step stripping and recharging cycle. Reversible transpeptidation by a laboratory evolved Staphylococcus aureus sortase A (eSrtA) enabled the rapid immobilization of an anti-thrombogenic film in the presence of whole blood and permitted multiple cycles of film regeneration in vitro that preserved its biological activity. Moreover, eSrtA transpeptidation facilitated surface re-engineering of medical devices in situ after in vivo implantation through removal and restoration film constituents. These studies establish a rapid, orthogonal and reversible biochemical scheme to regenerate selective molecular constituents with the potential to extend the lifetime of bioactive films. Bioactive coatings offer a strategy to modulate host response to implants, but their translation to the clinic is hampered by their fast in vivo degradation. Here, the authors use an engineered bacterial protein to regenerate an anti-thrombogenic film in vitro and in situ after device implantation.
Collapse
|
7
|
Dydek EV, Chaikof EL. Simulated thrombin responses in venous valves. J Vasc Surg Venous Lymphat Disord 2015; 4:329-35. [PMID: 27318053 DOI: 10.1016/j.jvsv.2015.09.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 09/15/2015] [Indexed: 10/22/2022]
Abstract
OBJECTIVE Venous thromboembolism frequently results in thrombi formation near or within the pocket of a venous valve due to recirculating hemodynamics, which has been largely attributed to hypoxia-induced tissue factor (TF) expression. Numerical models are now capable of assessing the spatiotemporal behavior of the TF-initiated coagulation cascade under nonuniform hemodynamics. The aim of this study was to use such a numerical simulation to analyze the degree and location of thrombin formation with respect to TF position in the presence of disturbed flow induced by an open venous valve. METHODS Thrombin formation was simulated using a computational model that captures the hemodynamics, kinetics, and chemical transport of 22 biochemical species. Disturbed flow is described by the presence of a valve in the equilibrium phase of the valve cycle with leaflets in a fully open position. Three different positions of TF downstream of the valve opening were investigated. RESULTS The critical amount of TF required to initiate a thrombotic response is reduced by up to 80% when it is positioned underneath the recirculating regions near the valve opening. In addition, because of the increased surface area of the open valve cusp in conjunction with recirculating hemodynamics, it was observed that thrombin is generated inside the valve pocket even when the exposed region of TF is downstream of the valve. CONCLUSIONS The presence of prothrombotic surface reactions in conjunction with recirculating hemodynamics provides an additional mechanism for thrombus formation in venous valves that does not require direct damage or dysfunction to the valve itself.
Collapse
Affiliation(s)
- E Victoria Dydek
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass
| | - Elliot L Chaikof
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass; Wyss Institute of Biologically Inspired Engineering of Harvard University, Boston, Mass; Division of Health Sciences Technology, Harvard-MIT, Cambridge, Mass.
| |
Collapse
|