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Published on: March 28, 2016
A design of experiment approach for efficient multi-parametric drug testing using a Caenorhabditis elegans model
M C Letizia1, M Cornaglia, G Tranchida
1Microsystems Laboratory, École Polytechnique Fédérale de Lausanne, EPFL-STI-IMT-LMIS2, Station 17, Ch-1015 Lausanne, Switzerland. martin.gijs@epfl.ch.
Abstract:
When studying the drug effectiveness towards a target model, one should distinguish the effects of the drug itself and of all the other factors that could influence the screening outcome. This comprehensive knowledge is crucial, especially when model organisms are used to study the drug effect at a systemic level, as a higher number of factors can influence the drug-testing outcome. Covering the entire experimental domain and studying the effect of the simultaneous change in several factors would require numerous experiments, which are costly and time-consuming. Therefore, a design of experiment (DoE) approach in drug-testing is emerging as a robust and efficient method to reduce the use of resources, while maximizing the knowledge of the process. Here, we used a 3-factor-Doehlert DoE to characterize the concentration-dependent effect of the drug doxycycline on the development duration of the nematode Caenorhabditis elegans. To cover the experimental space, 13 experiments were designed and performed, where different doxycycline concentrations were tested, while also varying the temperature and the food amount, which are known to influence the duration of C. elegans development. A microfluidic platform was designed to isolate and culture C. elegans larvae, while testing the doxycycline effect with full control of temperature and feeding over the entire development. Our approach allowed predicting the doxycycline effect on C. elegans development in the complete drug concentration/temperature/feeding experimental space, maximizing the understanding of the effect of this antibiotic on the C. elegans development and paving the way towards a standardized and optimized drug-testing process.
Insights
This study optimized drug testing using a design of experiment (DoE) approach. A 3-factor DoE efficiently characterized doxycycline
Area of Science:
- Pharmacology and Toxicology
- Developmental Biology
- Experimental Design
Background:
- Drug effectiveness studies require differentiating drug effects from other influential factors.
- Model organisms present complex systemic interactions impacting drug screening outcomes.
- Extensive experimentation to cover all variables is resource-intensive and time-consuming.
Purpose of the Study:
- To apply a design of experiment (DoE) approach for efficient drug testing.
- To characterize the concentration-dependent effects of doxycycline on Caenorhabditis elegans development.
- To optimize resource utilization while maximizing knowledge acquisition in drug screening.
Main Methods:
- A 3-factor Doehlert design was employed to study doxycycline's effect.
- 13 experiments were conducted varying doxycycline concentration, temperature, and food availability.
- A microfluidic platform was utilized for precise control of experimental conditions and C. elegans culture.
Main Results:
- The study successfully mapped the doxycycline effect across a range of concentrations, temperatures, and food levels.
- The DoE approach enabled prediction of drug effects within the entire experimental space.
- Precise control over environmental factors was achieved using the microfluidic platform.
Conclusions:
- A 3-factor DoE approach significantly enhances the efficiency and comprehensiveness of drug testing.
- This methodology allows for a detailed understanding of drug effects on model organisms like C. elegans.
- The developed approach paves the way for standardized and optimized drug development processes.
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