Cell Biochemistry Martinsried
2. Goal: Identification of myocardial infarction risk patients from peripheral blood thrombocyte activation antigen expression (CD62, CD63, thrombospondin, IgG binding). The activation antigen expression is flow cytometrically determined on thrombocytes in platelet rich plasma.
3. CLASSIF1 Data Pattern Classification: The classification of the learning set of normal individuals, angiographically verified myocardial risk as well as of diabetic patients (type II) provides correct recognition of > 95% of normal and infarction risk patients, while diabetic patients are only recognized in around 50% of the cases.
4. Conclusion: - The standardized and automated evaluation of flow cytometrically determined CD62, CD63 and thrombospondin thrombocyte activation antigens permits a > 95% correct identification of individual myocardial infarction risk patients by medical or clinical cytomics from thrombocyte activation antigen measurements.
L1 G.Valet, M.Valet, D.Tschöpe, H.Gabriel, G.Rothe, W.Kellermann, H.Kahle: (1993) White cell and thrombocyte disorders: Standardized, self-learning flow cytometric list mode data classification with the CLASSIF1 program system. Ann.NY Acad.Sci. 677:233-251
|© 2023 G.Valet|