title: Factor Xa generation by computational modeling: an additional discriminator to thrombin generation evaluation.
abstract: Factor (f)Xa is a critical enzyme in blood coagulation that is responsible for the initiation and propagation of thrombin generation. Previously we have shown that analysis of computationally generated thrombin profiles is a tool to investigate hemostasis in various populations. In this study, we evaluate the potential of computationally derived time courses of fXa generation as another approach for investigating thrombotic risk. Utilizing the case (n = 473) and control (n = 426) population from the Leiden Thrombophilia Study and each individual's plasma protein factor composition for fII, fV, fVII, fVIII, fIX, fX, antithrombin and tissue factor pathway inhibitor, tissue factor-initiated total active fXa generation was assessed using a mathematical model. FXa generation was evaluated by the area under the curve (AUC), the maximum rate (MaxR) and level (MaxL) and the time to reach these, TMaxR and TMaxL, respectively. FXa generation was analyzed in the entire populations and in defined subgroups (by sex, age, body mass index, oral contraceptive use). The maximum rates and levels of fXa generation occur over a 10- to 12- fold range in both cases and controls. This variation is larger than that observed with thrombin (3-6 fold) in the same population. The greatest risk association was obtained using either MaxR or MaxL of fXa generation; with an ∼2.2 fold increased risk for individuals exceeding the 90(th) percentile. This risk was similar to that of thrombin generation(MaxR OR 2.6). Grouping defined by oral contraceptive (OC) use in the control population showed the biggest differences in fXa generation; a >60% increase in the MaxR upon OC use. FXa generation can distinguish between a subset of individuals characterized by overlapping thrombin generation profiles. Analysis of fXa generation is a phenotypic characteristic which may prove to be a more sensitive discriminator than thrombin generation among all individuals.
authors.affiliation: Department of Biochemistry, University of Vermont, Burlington Vermont, United States of America. kathleen.brummel@uvm.edu
authors.forename: Kathleen E
authors.initials: KE
authors.lastname: Brummel-Ziedins
authors.forename: Thomas
authors.initials: T
authors.lastname: Orfeo
authors.forename: Matthew
authors.initials: M
authors.lastname: Gissel
authors.forename: Kenneth G
authors.initials: KG
authors.lastname: Mann
authors.forename: Frits R
authors.initials: FR
authors.lastname: Rosendaal
mesh_terms: D000368:Aged; D000991:Antithrombins / Q000378:metabolism*; D001777:Blood Coagulation; D015992:Body Mass Index; D016022:Case-Control Studies; D003198:Computer Simulation; D015951:Factor Xa / Q000378:metabolism*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D012307:Risk Factors; D013917:Thrombin / Q000378:metabolism*
chemical_list: D000991:Antithrombins; D013917:Thrombin; D015951:Factor Xa