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Perspectives on Neuroscience
Published on: July 31, 2007
Michaelis-Menten from an In Vivo Perspective: Open Versus Closed Systems
Johan Gabrielsson1, Lambertus A Peletier2
1Department of Biomedical Sciences and Veterinary Public Health, Division of Pharmacology and Toxicology, Swedish University of Agricultural Sciences, Box 7028, SE-750 07, Uppsala, Sweden.
Revisiting the Michaelis-Menten equation with enzyme turnover reveals that chronic drug dosing in open systems does not lead to substrate accumulation. This provides a more accurate in vivo model.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Biochemical Kinetics
- Systems Biology
Background:
- The Michaelis-Menten equation is a cornerstone of enzyme kinetics but often assumes a constant enzyme pool.
- In vivo drug metabolism studies frequently show deviations from in vitro data, especially with chronic drug administration.
- Enzyme induction or inhibition and changes in enzyme load can occur during chronic treatments.
Purpose of the Study:
- To re-evaluate the Michaelis-Menten system by incorporating enzymatic turnover (synthesis and elimination).
- To develop a more mechanistic model for substrate, free enzyme, and substrate-enzyme complex concentrations in vivo.
- To address limitations in predicting in vivo drug behavior from in vitro data and interspecies extrapolations.
Main Methods:
- Incorporation of enzyme synthesis and elimination rates into the Michaelis-Menten framework.
- Development of a new mathematical model for open systems with enzyme turnover.
- Analysis of substrate concentration dynamics under chronic dosing scenarios.
Main Results:
- In open systems with enzyme turnover, substrate concentration does not continuously rise beyond a certain chronic dosing threshold.
- Slow enzyme turnover leads to a linear relationship between substrate concentration and dose rate after an initial adjustment period.
- The derived model offers improved mechanistic insights into in vivo substrate and enzyme dynamics.
Conclusions:
- Enzyme turnover is a critical factor for accurate in vivo pharmacokinetic modeling, especially for chronic drug administration.
- The new open framework reconciles discrepancies between in vitro and in vivo data and improves interspecies extrapolation.
- This approach is also applicable to understanding transporter system kinetics.
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