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Related Experiment Video

Updated: Oct 28, 2025

Mapping Metabolism: Monitoring Lactate Dehydrogenase Activity Directly in Tissue

Mapping Metabolism: Monitoring Lactate Dehydrogenase Activity Directly in Tissue

Published on: June 21, 2018

Modeling Challenge Data to Quantify Endogenous Lactate Production.

Darko Stefanovski¹, Pamela A Wilkins², Raymond C Boston³

¹Department of Clinical Studies - New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, United States.

Frontiers in Endocrinology

|July 16, 2021

Summary

This study investigated how different modeling methods impact infusion data analysis. Results indicate that the choice of modeling approach can significantly influence pharmacokinetic parameter estimations.

Keywords:

horse infusion lactate mathematical model metabolism units

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Last Updated: Oct 28, 2025

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Area of Science:

Pharmacokinetics
Mathematical Modeling

Background:

Accurate analysis of infusion data is crucial in pharmacokinetics.
Modeling methodology can introduce variability in study outcomes.

Purpose of the Study:

To assess the impact of different kinetic modeling approaches on infusion data analysis.
To determine the susceptibility of pharmacokinetic parameters to modeling methodology.

Main Methods:

Three kinetic modeling approaches were compared: simple, unit, and novel automated.
The simple approach used software defaults (mmol/L).
The unit and novel approaches used infusion units (e.g., mmol/kg), with the novel approach featuring automated infusion control.

Main Results:

Different modeling methods yielded variations in pharmacokinetic parameter estimations.
The novel automated approach demonstrated a distinct response pattern compared to simpler methods.

Conclusions:

Modeling methodology is a significant factor influencing pharmacokinetic parameter outcomes.
Careful selection of modeling techniques is essential for reliable infusion data interpretation.