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Published on: February 27, 2026
Thrombin generation in acute coronary syndrome and stable coronary artery disease: dependence on plasma factor
K Brummel-Ziedins1, A Undas, T Orfeo
1Department of Biochemistry, University of Vermont, VT 05446, USA. kathleen.brummel@uvm.edu
Insights
Thrombin generation profiles, based on circulating coagulation proteins, can differentiate acute coronary syndrome (ACS) from stable coronary artery disease (CAD). This finding aids in distinguishing between these critical cardiovascular conditions.
Area of Science:
- Cardiovascular Medicine
- Hematology
- Biochemistry
Background:
- Acute coronary syndrome (ACS) involves thrombin formation from ruptured atheroma.
- Distinguishing ACS from stable coronary artery disease (CAD) is clinically important.
- Circulating coagulation protein levels may serve as biomarkers.
Purpose of the Study:
- To investigate if thrombin generation profiles can differentiate between ACS and stable CAD.
- To assess the role of specific coagulation factors in thrombin generation.
Main Methods:
- Collected plasma coagulation factor compositions from ACS and stable CAD patients.
- Assessed tissue factor-initiated thrombin generation computationally and empirically.
- Excluded patients on anticoagulant therapy.
Main Results:
- Significant differences in antithrombin (AT), factor II (FII), factor VIII (FVIII), and tissue factor pathway inhibitor (TFPI) levels were observed.
- ACS patients exhibited higher FII, FVIII, TFPI, and lower AT levels.
- Simulated thrombin generation was 50% higher and initiated faster in ACS patients.
Conclusions:
- Simulations of thrombin generation based on plasma composition can discriminate between acute and stable CAD.
- Coagulation factors AT, FII, and FVIII are key determinants of these differences.
Background:
Acute coronary syndrome (ACS) is associated with thrombin formation, triggered by ruptured or eroded coronary atheroma. We investigated whether thrombin generation based on circulating coagulation protein levels, could distinguish between acute and stable coronary artery disease (CAD).
Methods And Results:
Plasma coagulation factor (F) compositions from 28 patients with ACS were obtained after onset of chest pain. Similar data were obtained from 25 age- and sex-matched patients with stable CAD. All individuals took aspirin. Patients on anticoagulant therapy were excluded. The groups were similar in demographic characteristics, comorbidities and concomitant treatment. Using each individual's coagulation protein composition, tissue factor (TF) initiated thrombin generation was assessed both computationally and empirically. TF pathway inhibitor (TFPI), antithrombin (AT), factor II (FII) and FVIII differed significantly (P < 0.01) between the groups, with levels of FII, FVIII and TFPI higher and AT lower in ACS patients. When thrombin generation profiles from individuals in each group were compared, simulated maximum thrombin levels (P < 0.01) and rates (P < 0.01) were 50% higher with ACS while the initiation phases of thrombin generation were shorter. Empirical reconstructions of the populations reproduced the thrombin generation profiles generated by the computational model. The differences between the thrombin generation profiles for each population were primarily dependent upon the collective contribution of AT, FII and FVIII.
Conclusion:
Simulations of thrombin formation based on plasma composition can discriminate between acute and stable CAD.
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