Activated Coagulation FXII: A Unique Target for In Vivo Molecular Imaging.

BACKGROUND: Current clinical imaging of thromboembolic diseases often relies on indirect detection of thrombi, which may delay diagnosis and ultimately the institution of beneficial, potentially lifesaving treatment. Therefore, the development of targeting tools that facilitate the rapid, specific, and direct imaging of thrombi using molecular imaging is highly sought after. One potential molecular target is FXIIa (factor XIIa), which initiates the intrinsic coagulation pathway but also activates the kallikrein-kinin system, thereby initiating coagulation and inflammatory/immune responses. As FXII (factor XII) is dispensable for normal hemostasis, its activated form (FXIIa) represents an ideal molecular target for diagnostic and therapeutic approaches, the latter combining diagnosis/identification of thrombi and effective antithrombotic therapy. METHODS: We conjugated an FXIIa-specific antibody, 3F7, to a near-infrared (NIR) fluorophore and demonstrated binding to FeCl3-induced carotid thrombosis with 3-dimensional fluorescence emission computed tomography/computed tomography and 2-dimensional fluorescence imaging. We further demonstrated ex vivo imaging of thromboplastin-induced pulmonary embolism and detection of FXIIa in human thrombi produced in vitro. RESULTS: We demonstrated imaging of carotid thrombosis by fluorescence emission computed tomography/computed tomography and measured a significant fold increase in signal between healthy and control vessels from mice injected with 3F7-NIR compared with mice injected with nontargeted probe (P=0.002) ex vivo. In a model of pulmonary embolism, we measured increased NIR signal in lungs from mice injected with 3F7-NIR compared with mice injected with nontargeted probe (P=0.0008) and healthy lungs from mice injected with 3F7-NIR (P=0.021). CONCLUSIONS: Overall, we demonstrate that FXIIa targeting is highly suitable for the specific detection of venous and arterial thrombi. This approach will allow direct, specific, and early imaging of thrombosis in preclinical imaging modalities and may facilitate monitoring of antithrombotic treatment in vivo.

Modeling Thrombin Generation in Plasma under Diffusion and Flow.

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.