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Drug treatment efficiency depends on the initial state of activation in nonlinear pathways
Victoria Doldán-Martelli1, David G Míguez2
1Facultad de Matemáticas, Universidad Carlos III, 28911, Leganés, Madrid, Spain.
Abstract:
An accurate prediction of the outcome of a given drug treatment requires quantitative values for all parameters and concentrations involved as well as a detailed characterization of the network of interactions where the target molecule is embedded. Here, we present a high-throughput in silico screening of all potential networks of three interacting nodes to study the effect of the initial conditions of the network in the efficiency of drug inhibition. Our study shows that most network topologies can induce multiple dose-response curves, where the treatment has an enhanced, reduced or even no effect depending on the initial conditions. The type of dual response observed depends on how the potential bistable regimes interplay with the inhibition of one of the nodes inside a nonlinear pathway architecture. We propose that this dependence of the strength of the drug on the initial state of activation of the pathway may be affecting the outcome and the reproducibility of drug studies and clinical trials.
Insights
Drug treatment effectiveness depends on initial network conditions. Our study reveals that network topology and initial states can alter drug response, impacting study reproducibility.
Area of Science:
- Systems Biology
- Pharmacology
- Computational Biology
Background:
- Accurate drug treatment prediction requires quantitative parameters and understanding molecular interaction networks.
- The influence of a biological network's initial state on drug efficacy is not fully understood.
Purpose of the Study:
- To investigate how initial network conditions affect drug inhibition efficiency using in silico screening.
- To explore the impact of network topology on dose-response curves and drug efficacy.
Main Methods:
- High-throughput in silico screening of all possible three-node network topologies.
- Analysis of how initial conditions influence drug inhibition within nonlinear pathway architectures.
Main Results:
- Most network topologies exhibit multiple dose-response curves, leading to varied drug effects based on initial conditions.
- The interplay between bistable regimes and node inhibition determines dual responses.
- Drug efficacy is shown to be dependent on the pathway's initial activation state.
Conclusions:
- Initial conditions significantly influence drug treatment outcomes and can lead to enhanced, reduced, or absent drug effects.
- The observed dependence on initial states may explain variability in drug studies and clinical trials.
- Characterizing network dynamics and initial states is crucial for predicting drug response accurately.
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