Toxin detection based on action potential shape analysis using a realistic mathematical model of differentiated...

Area of Science:

• Neuroscience
• Computational Biology
• Pharmacology

Background:

• The NG108-15 cell line is a versatile tool for toxin detection and pharmaceutical screening.
• Previous studies lacked detailed electrophysiological analysis of action potentials in NG108-15 cells during toxin exposure.
• Action potential shape analysis offers a potential method for identifying and discriminating between different toxins.

Purpose of the Study:

• To create a computational model of action potential generation in NG108-15 cells.
• To validate the model using experimental electrophysiological data.
• To demonstrate the model's utility in identifying toxins based on their effects on action potential shape.

Main Methods:

• Recorded voltage-dependent ion currents and action potentials from NG108-15 cells using whole-cell patch-clamp electrophysiology.
• Developed a computational model based on Hodgkin-Huxley formalism to simulate action potential generation.
• Estimated ion-channel parameters using automatic fitting methods and optimized the model to match experimental data.
• Applied the model to analyze the effects of tetrodotoxin and tefluthrin on action potentials.

Main Results:

• A validated computational model of NG108-15 cell action potentials was established.
• Distinct alterations in action potential shape were observed for tetrodotoxin (sodium channel blocker) and tefluthrin (sodium channel opener).
• Changes in fitted model parameters successfully differentiated the effects of the two toxins.

Conclusions:

• This study presents a novel computational approach for quantitative toxin detection using action potential shape analysis in NG108-15 cells.
• The developed model provides a foundation for identifying toxins based on their specific electrophysiological signatures.
• This method holds promise for advancing biosensing and drug screening applications.