DocumentCode
3562270
Title
Ischemia alters sensitivity of action potential to the sodium-potassium pump
Author
Kharche, Sanjay ; Vigmond, Edward ; Haibo Ni ; Coleman, Michael ; Henggui Zhang
Author_Institution
Sch. of Phys. & Astron., Univ. of Manchester, Manchester, UK
fYear
2014
Firstpage
873
Lastpage
876
Abstract
Ischemia increases extracellular concentration of potassium, [K+]o, reduces the cytosolic ATP concentrations, and reduces cytosolic pH. The sodium-potassium pump, INaK, is an ATPase that maintains the ionic gradients across the cell membrane required to drive the action potential (AP) and depends on these parameters. The suitability of biophysically detailed mathematical models to study pathophysiological conditions is in their capability to produce physiological responses to parameter alterations. This study evaluated the sensitivity of INaK parameters and of [K+]o to AP in a human ventricle cell model using forward sensitivity analysis. The derivative based forward sensitivity of the O´Hara et af. model AP to [K+]o, ATP, and pH was estimated using diference quotient algorithms. The FSA was verified by computing INaK-concentration curves for each of the three parameters. AP alterations under small and large alterations of the parameters were also computed. The model´s AP has sensitivity to the ischemic parameters in agreement with experimental data. The sensitivity of the AP to pH, however, was found to be small. This could be improved by further developing the INaK formulation. FSA is a straightforward method serving as a first port of call to evaluate model suitability.
Keywords
biochemistry; bioelectric potentials; biomembranes; cardiology; cellular biophysics; enzymes; medical disorders; molecular biophysics; AP-pH sensitivity; ATPase; FSA; action potential; cell membrane; computing INaK-concentration curves; cytosolic ATP concentrations; cytosolic pH; derivative based forward sensitivity; extracellular concentration; forward sensitivity analysis; human ventricle cell model; ionic gradients; ischemic parameters; mathematical models; pathophysiological conditions; sodium-potassium pump; Analytical models; Biological system modeling; Computational modeling; MATLAB; Mathematical model; Sensitivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2014
ISSN
2325-8861
Print_ISBN
978-1-4799-4346-3
Type
conf
Filename
7043182
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