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The role of stochastic gene switching in determining the pharmacodynamics of certain drugs: basic mechanisms
Krzysztof Puszynski1, Alberto Gandolfi2, Alberto d'Onofrio3
1Institute of Automatic Control, Silesian University of Technology, Akademicka 16, Gliwice, Poland.
Abstract:
In this paper we analyze the impact of the stochastic fluctuation of genes between their ON and OFF states on the pharmacodynamics of a potentially large class of drugs. We focus on basic mechanisms underlying the onset of in vitro experimental dose-response curves, by investigating two elementary molecular circuits. Both circuits consist in the transcription of a gene and in the successive translation into the corresponding protein. Whereas in the first the activation/deactivation rates of the single gene copy are constant, in the second the protein, now a transcription factor, amplifies the deactivation rate, so introducing a negative feedback. The drug is assumed to enhance the elimination of the protein, and in both cases the success of therapy is assured by keeping the level of the given protein under a threshold for a fixed time. Our numerical simulations suggests that the gene switching plays a primary role in determining the sigmoidal shape of dose-response curves. Moreover, the simulations show interesting phenomena related to the magnitude of the average gene switching time and to the drug concentration. In particular, for slow gene switching a significant fraction of cells can respond also in the absence of drug or with drug concentrations insufficient for the response in a deterministic setting. For higher drug concentrations, the non-responding fraction exhibits a maximum at intermediate values of the gene switching rates. For fast gene switching, instead, the stochastic prediction follows the prediction of the deterministic approximation, with all the cells responding or non-responding according to the drug dose.
Insights
Gene switching significantly impacts drug response curves by influencing protein levels. Stochastic fluctuations can lead to cellular responses even at low drug concentrations, affecting pharmacodynamics.
Area of Science:
- Biochemistry
- Pharmacology
- Systems Biology
Background:
- Stochastic gene expression, where genes switch between ON and OFF states, is a fundamental biological process.
- Understanding gene switching is crucial for analyzing drug pharmacodynamics and dose-response relationships.
- Existing models often simplify gene expression, potentially missing key stochastic effects.
Purpose of the Study:
- To investigate the impact of stochastic gene switching on drug pharmacodynamics.
- To analyze the formation of in vitro dose-response curves using two molecular circuits.
- To explore how gene switching rates and drug concentrations influence cellular responses.
Main Methods:
- Numerical simulations of two molecular circuits involving gene transcription and protein translation.
- Modeling a gene circuit with constant activation/deactivation rates.
- Modeling a gene circuit with negative feedback via a protein transcription factor.
- Simulating drug effects on protein elimination and therapeutic success criteria.
Main Results:
- Gene switching plays a critical role in the sigmoidal shape of dose-response curves.
- Slow gene switching allows cellular responses even without sufficient drug concentrations.
- Non-responding cell fractions show complex behavior with varying gene switching rates and drug concentrations.
Conclusions:
- Stochastic gene switching is a key determinant of pharmacodynamic variability.
- Drug efficacy and cellular response are significantly modulated by the dynamics of gene expression.
- The study highlights the limitations of deterministic models in predicting drug responses under stochastic conditions.
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