Correlations between transmural gastric potential difference and a well-known mathematical model.

Area of Science:

• Pharmacology
• Biophysics

Background:

• Gastric irritants can alter transmural gastric potential difference (GPD).
• Evaluating GPD time curves is crucial for understanding gastric mucosal responses.
• Mathematical modeling can improve the analysis of complex biological data.

Purpose of the Study:

• To assess the utility of the Bateman function for modeling gastric potential difference (GPD) time curves.
• To evaluate the relationship between GPD parameters and the dose of gastric irritants.
• To compare mathematical fitting with conventional methods for GPD analysis.

Main Methods:

• Time curves of transmural gastric potential difference (GPD) were recorded after administering gastric irritants.
• Biexponential functions, including the Bateman function, were fitted to 74 GPD curves using the RIP-technique.
• Irritants included acetylsalicylic acid (ASA), theophylline, indomethacin, and ethanol at various doses.

Main Results:

• The Bateman function accurately described the biphasic GPD time course (lesion and restitution), achieving a high correlation (r = 0.9).
• Computed curve parameters (area, mean time, mean drop) were comparable to those from the trapezoid rule.
• A clear dose-response relationship was observed between GPD parameters and acetylsalicylic acid (ASA) dosage.

Conclusions:

• The Bateman function is a suitable mathematical tool for analyzing GPD responses to gastric irritants.
• The RIP-technique and Bateman function provide reliable parameters for GPD evaluation.
• Interindividual variability limited the definitive assessment of specific irritant-GPD relationships.