Exploring the Probabilistic Nature of Voltage-Gated Ion Channels
Session Number
IND STUDY 05
Advisor(s)
Dr. Ashwin Mohan, Illinois Mathematics and Science Academy
Discipline
Independent Study
Start Date
17-4-2025 2:30 PM
End Date
17-4-2025 2:45 PM
Abstract
Biological cells rely on ion channels, which are complex protein structures to regulate movement of sodium, potassium, and calcium ions across the cell membrane. Some of these channels respond to voltage changes or bioelectric fields, allowing ion movement that alters concentration gradients inside and outside the cell membrane.
This research investigates the behavior of the voltage-gated ion channels in a single cardiac cell (Luo-Rudy, 1991). The model of the Cardiac Cell is represented by a nonlinear system of differential equations. One of the central equations incorporates voltage-dependent rate constants, α(alpha) and β(beta), to calculate the probability of a given channel being open over time. We focus on this equation and how the probabilistic nature of these constants impact the voltage-gated sodium ion channel and thus the cardiac function. This study revealed how small variations in voltage-dependent rate constants significantly influence sodium channel behavior, affecting cardiac excitability
Further, by simulating varying conditions to the action potential, like an increase in extracellular, we can better understand what causes heart muscle exhaustion and how modifications to𝑁𝑎+ mchannel behaviors can lead to abnormal heart function such as arrhythmias.
Exploring the Probabilistic Nature of Voltage-Gated Ion Channels
Biological cells rely on ion channels, which are complex protein structures to regulate movement of sodium, potassium, and calcium ions across the cell membrane. Some of these channels respond to voltage changes or bioelectric fields, allowing ion movement that alters concentration gradients inside and outside the cell membrane.
This research investigates the behavior of the voltage-gated ion channels in a single cardiac cell (Luo-Rudy, 1991). The model of the Cardiac Cell is represented by a nonlinear system of differential equations. One of the central equations incorporates voltage-dependent rate constants, α(alpha) and β(beta), to calculate the probability of a given channel being open over time. We focus on this equation and how the probabilistic nature of these constants impact the voltage-gated sodium ion channel and thus the cardiac function. This study revealed how small variations in voltage-dependent rate constants significantly influence sodium channel behavior, affecting cardiac excitability
Further, by simulating varying conditions to the action potential, like an increase in extracellular, we can better understand what causes heart muscle exhaustion and how modifications to𝑁𝑎+ mchannel behaviors can lead to abnormal heart function such as arrhythmias.