OJMIP  Vol.3 No.4 , November 2013
Erythrocyte shape transformation in physiological regulation of blood viscosity
Abstract: The study was carried out to evaluate deformable and aggregative erythrocyte properties in humans under normal and pathological states and in rats exposed to various stressors. A strong correlation between the erythrocyte rheological determinants, i.e. deformability index and aggregation rate, was found under pathological and stress-induced states. The physiological significance of this phenomenon is to maintain the native structure of blood flow.
Cite this paper: N. Katiukhin, L. (2013) Erythrocyte shape transformation in physiological regulation of blood viscosity. Open Journal of Molecular and Integrative Physiology, 3, 194-198. doi: 10.4236/ojmip.2013.34025.

[1]   Chien, S. (1970) Shear dependence of effective cell volume as a determinant of blood viscosity. Science, 168, 977-979.

[2]   Muralidharan, E., Tateishi, N. and Maeda, N. (1994) Simultaneous influence of erythrocyte deformability and macromolecules in the medium on erythrocyte aggregation: A kinetic study by a laser scattering technique. Biochimica et Biophysica Acta, 194, 255-263.

[3]   Reinhart, W.H. and Singh, A. (1990) Erythrocyte aggregation: The role of cell deformability and geometry. European Journal of Clinical Investigation, 20, 458-462.

[4]   Bagchi, P., Johnson, P.C. and Popel, A.S. (2005) Computational fluid dynamic simulation of aggregation of deformable cells in a shear flow. Journal of Biomechanical Engineering, 127, 35-54.

[5]   Suzuki, Y., Tateishi, N., Cicha, I. and Maeda, N. (2001) Aggregation and sedimentation of mixed of erythrocytes with different properties. Clinical Hemorheology and Microcirculation, 25, 105-117.

[6]   Clark, M.R., Mohandas, N. and Shohet, S.B. (1983) Osmotic gradient ektacytometry: Comprehensive characterization of red cell volume and surface maintenance. Blood, 61, 899-910.

[7]   Johnson, R.M. (1989) Ektacytometry of red blood cells. Methods in Enzymology, 173, 35-54.

[8]   Ohta, K., Gotoh, F., Tomita, M., et al. (1992) Animal species differences in erythrocyte aggregability. American Journal of Physiology—Heart and Circulatory Physiology, 262, 1009-1012.

[9]   Elbert, T., Ray, W.Y., Kowalik, Z.J., et al. (1994) Chaos and physiology: Deterministic chaos in excitable cell assemblies. Physiological Reviews, 74, 1-47.

[10]   Iasemidis, L.D., Sackellares, J.C., Zaveri, H.P. and Williams, W.J. (1990) Phase space topography and the Lyapunov exponent of electrocorticograms in partial seizures. Brain Topography, 2, 187-201.

[11]   Kowalik, Z.J. (2000) Nonlinear mechanism of cortical oscillations. Neurologia i Neurochirurgia Polska, 34, 53-65.

[12]   Lai, Y.C., Harrison, M.A., Frei, M.G. and Osorio, I. (2004) Controlled test for predictive power of lyapunov exponents: Their inability to predict epileptic seizures. Chaos, 14, 630-642.

[13]   Meyer, M., Rahmel, A., Marconi, C., Grassi, B., Cerretelli, P. and Skinner, J.E. (1998) Stability of heartbeat interval distributions in chronic high altitude hypoxia. Integrative Physiological and Behavioral Science, 33, 344-362.

[14]   Mühlnickel, W., Rendtorff, N., Kowalik, Z.J., Rockstroh, B., Miltner, W. and Elbert, T. (1994) Testing the determinism of EEG and MEG. Integrative Physiological and Behavioral Science, 29, 262-269.

[15]   Skinner, J.E., Carpeggiani, C., Landisman, C.R. and Fulton, K.W. (1991) Correlation dimension of heartbeat intervals is reduced in conscious pigs by myocardial ischemia. Circulation Research, 68, 966-976.

[16]   Skinner, J.E., Nester, B.A. and Dalsev, W.C. (2000) Nonlinear dynamics of heart rate variability during experimental hemorrhage in ketamine-anesthetized rats. American Journal of Physiology—Heart and Circulatory Physiology, 279, H1669-H1678.

[17]   Skinner, J.E., Pratt, C.M. and Vybiral, T. (1993) Reduction in the correlation dimension of heartbeat intervals precedes imminent ventricular fibrillation in human subjects. American Heart Journal, 125, 731-743.