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Time delays in metabolic control systems.

E Mizraji1, L Acerenza, J Hernández

  • 1Departamento de Bioquísica y Bioqímica, Facultad de Humanidades y Ciencias, Montevideo, Uruguay.

Bio Systems
|January 1, 1988
PubMed
Summary

This study explores how time delays in metabolic pathways can lead to instability and oscillations. Using mathematical models, the researchers found that even without detailed knowledge of enzyme kinetics, delays can cause transitions to instability. They discovered that cooperative inhibition increases the likelihood of instability. The study also showed that distributed delays with non-monotonic kernels can raise the threshold for instability. The authors propose that these oscillations might serve as signals for adaptive cell behavior.

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Area of Science:

  • Systems biology within metabolic regulation
  • Mathematical modeling in biochemical pathways
  • Time delay analysis in physiological systems

Background:

Stability in metabolic pathways is a central concern in systems biology. Prior research has shown that feedback inhibition and enzyme kinetics influence pathway behavior. However, gaps remain in understanding how time delays affect stability. This uncertainty drives the need for models that incorporate time delays. Existing studies often assume known enzyme kinetics, but this approach is limited. The role of discrete and distributed delays in metabolic systems is not fully resolved. No prior work had resolved how delay types influence oscillatory behavior. This gap motivated the current investigation into delay-driven instability.

Purpose Of The Study:

This study aims to explore how time delays affect the stability of end-product-controlled metabolic pathways. The goal is to determine whether delays can cause instability even without known enzyme kinetics. The researchers propose to use mathematical models with discrete and distributed delays. They seek to identify critical delay thresholds (Tc) that trigger instability. The motivation is to understand how delays might lead to oscillations in metabolic systems. This approach allows for the analysis of unknown enzyme kinetics. The study also investigates the impact of cooperative inhibition on instability. The researchers aim to assess how different delay types influence Tc.

Keywords:
metabolic pathway modelingtime delay effectsbiochemical feedback inhibitionnonlinear system stability

Frequently Asked Questions

Time delays may cause a transition from stability to instability when exceeding a critical threshold (Tc).

Cooperative inhibition expands the parametric domain of instability in end-product-controlled pathways.

Non-monotonic kernels in distributed delays increase the critical delay (Tc), affecting stability.

Yes, discrete delays may cause instability and oscillations even without cooperative enzyme interactions.

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Main Methods:

The authors employed mathematical models with discrete and distributed time delays. They assumed unknown kinetics for pathway intermediates. The models were used to simulate stability transitions. Discrete delay models were first analyzed for oscillatory potential. The study then incorporated cooperative inhibition effects. Distributed delay models were tested with non-monotonic kernels. Stability thresholds (Tc) were calculated for each case. The models allowed for comparisons between delay types and their effects.

Main Results:

Above a definite substrate concentration, a critical delay Tc was identified. Discrete delays may cause instability even without cooperative enzyme interactions. Cooperative inhibition was found to expand the instability domain. Distributed delays with non-monotonic kernels increased Tc values. The models showed that oscillations can emerge from delay effects alone. The study found that instability is not limited to cooperative enzyme systems. Delay types significantly influence the onset of oscillations. These findings suggest that time delays are key to pathway stability.

Conclusions:

The authors suggest that time delays may be sufficient to cause instability in metabolic pathways. They propose that cooperative inhibition broadens the instability range. The models indicate that distributed delays can increase Tc values. The study supports the idea that delays are a potential source of oscillations. The researchers comment on the possibility that oscillations serve as physiological signals. They suggest that these signals may trigger adaptive strategies in cells. The findings imply that delays should be considered in pathway modeling. The authors emphasize the need for further analysis of delay effects.

Tc represents the threshold at which a pathway transitions from stable to unstable behavior.

The authors suggest oscillations may serve as physiological signals to trigger adaptive strategies.