Method of empirical dependences in estimation and prediction of activity of creatine kinase isoenzymes in cerebral ischemia

Tatiana F. Sergeeva; Albina N. Moshkova; Elena I. Erlykina; Elena M. Khvatova

doi:10.1117/12.2229863

21 April 2016 Method of empirical dependences in estimation and prediction of activity of creatine kinase isoenzymes in cerebral ischemia

Tatiana F. Sergeeva, Albina N. Moshkova, Elena I. Erlykina, Elena M. Khvatova

Author Affiliations +

Proceedings Volume 9917, Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS); 99171U (2016) https://doi.org/10.1117/12.2229863
Event: Saratov Fall Meeting 2015, 2015, Saratov, Russian Federation

Abstract

Creatine kinase is a key enzyme of energy metabolism in the brain. There are known cytoplasmic and mitochondrial creatine kinase isoenzymes. Mitochondrial creatine kinase exists as a mixture of two oligomeric forms – dimer and octamer. The aim of investigation was to study catalytic properties of cytoplasmic and mitochondrial creatine kinase and using of the method of empirical dependences for the possible prediction of the activity of these enzymes in cerebral ischemia. Ischemia was revealed to be accompanied with the changes of the activity of creatine kinase isoenzymes and oligomeric state of mitochondrial isoform. There were made the models of multiple regression that permit to study the activity of creatine kinase system in cerebral ischemia using a calculating method. Therefore, the mathematical method of empirical dependences can be applied for estimation and prediction of the functional state of the brain by the activity of creatine kinase isoenzymes in cerebral ischemia.

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Tatiana F. Sergeeva, Albina N. Moshkova, Elena I. Erlykina, and Elena M. Khvatova "Method of empirical dependences in estimation and prediction of activity of creatine kinase isoenzymes in cerebral ischemia", Proc. SPIE 9917, Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS), 99171U (21 April 2016); https://doi.org/10.1117/12.2229863

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KEYWORDS

Ischemia

Brain

Proteins

Animal model studies

Mathematical modeling

Tissues

Hemodynamics

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