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Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, Maryland 21205
The response of cellular transmembrane
potentials (Vm)
to applied electric fields is a critical factor during electrical
pacing, cardioversion, and defibrillation, yet the coupling
relationship of the cellular response to field intensity and polarity
is not well documented. Isolated guinea pig ventricular myocytes were stained with a voltage-sensitive fluorescent dye, di-8-ANEPPS (10 µM). A green helium-neon laser was used to excite the fluorescent dye
with a 15-µm-diameter focused spot, and subcellular
Vm were recorded
optically during field stimulation directed along the long axis of the
cell. The membrane response was measured at the cell end with the use
of a 30-ms S1-S2 coupling interval and a 10-ms S2 pulse with strength
of up to ~500-mV half-cell length potential (field strength × one-half the cell length). The general trends show that
1) the response of
Vm at the cell
end occurs in two stages, the first being very rapid (<1 ms) and the
second much slower in time scale, 2)
the rapid response consists of hyperpolarization when the cell end
faces the anode and depolarization when the cell end faces the cathode,
3) the rapid response varies
nonlinearly with field strengths and polarity, being relatively larger
for the hyperpolarizing responses, and
4) the slower, time-dependent response has a time course that varies in slope with field strength. Furthermore, the linearity of the dye response was confirmed over a
voltage range of
280 to +140 mV by simultaneous measurements of
optically and electrically recorded
Vm. These
experimental findings could not be reproduced by the updated, Luo-Rudy
dynamic model but could be explained with the addition of two currents that activate outside the physiological range of voltages: a
hypothetical outward current that activates strongly at positive
potentials and a second current that represents electroporation of the
cell membrane.
voltage-sensitive dye; Luo-Rudy model; electroporation; cardiac electrophysiology; computer model
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