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Models of the liver pentose cycle
1Lemontree Research Institute, San Diego, CA 92126, USA.
Journal of Theoretical Biology
|March 21, 1995
Summary
The classical liver pentose cycle model accurately fits experimental data, unlike Williams' proposed L-type cycle. Minor errors in flux estimation equations are caused by isotopic reversibility in the non-oxidative pathway.
Area of Science:
- Biochemistry
- Metabolic pathways
- Enzyme kinetics
Background:
- The liver pentose phosphate pathway (PPP) is crucial for cellular metabolism.
- Previous models of the PPP have varying degrees of complexity and accuracy.
- Williams proposed an alternative "L-type" pentose cycle.
Purpose of the Study:
- To compare the predictive accuracy of the classical liver pentose cycle model with Williams' proposed L-type model.
- To analyze the isotopic reversibility within the pentose cycle.
- To develop methods for estimating enzymic step reversibility and assess their impact on flux calculations.
Main Methods:
- Comparative modeling of the classical and L-type pentose cycles.
- Fitting model outputs to existing experimental data from well-oxygenated whole cell systems.
- Analysis of isotopic reversibility in enzymic steps, including low-concentration intermediates.
- Development of general approaches to estimate isotopic reversibility without intermediate isolation.
Main Results:
- The complete classical pentose cycle model successfully explains all available experimental data.
- Significant discrepancies exist between experimental data and the predictions of Williams' L-type model.
- The classical model exhibits isotopic reversibility in its non-oxidative segment, though enzymes are not near isotopic equilibrium.
- The isotopic reversibility of the non-oxidative pathway introduces only minor errors into flux estimation equations derived from unidirectional models.
Conclusions:
- The classical liver pentose cycle model provides a robust explanation for experimental observations.
- Williams' L-type pentose cycle model is inconsistent with current experimental evidence.
- Methods for estimating isotopic reversibility are presented, with implications for understanding metabolic flux.