Related Experiment Videos
Method to Assess Interactivity of Drugs with Nonparallel Concentration Effect Relationships
Liang Zhao1, Jessie L-S Au1, M Guillaume Wientjes2
1The Ohio State University, Columbus, OH. United States.
Current Cancer Drug Targets
|April 1, 2017
Summary
This study introduces the Uncertainty Envelope (UE), a novel method for analyzing drug interactions like synergy and antagonism. UE overcomes limitations of previous methods, enabling accurate assessment even for drugs with different concentration-effect profiles.
Area of Science:
- Pharmacology
- Drug Discovery
- Computational Biology
Background:
- Traditional drug interaction analysis methods (isobologram, combination index) rely on the Loewe Additivity principle, assuming similar concentration-effect (C-E) relationships (parallel curves, equal Emax).
- These assumptions limit their applicability to drugs with dissimilar C-E profiles, hindering accurate synergy and antagonism analysis.
- A new statistical method is needed to analyze drug interactions without these limitations.
Purpose of the Study:
- To develop and validate a new method for analyzing drug interactivity, overcoming the limitations of existing approaches.
- To enable statistical assessment of drug synergy and antagonism, particularly for drugs with dissimilar concentration-effect relationships.
- To provide a more versatile and informative tool for drug combination studies.
Main Methods:
- The Uncertainty Envelope (UE) method was developed, involving two key steps.
- Step 1: Constructing the Additivity Envelope using dose equivalence principles to define zero-interactivity C-E boundaries.
- Step 2: Incorporating 95% confidence intervals into the Additivity Envelope to create the UE, allowing for statistical significance assessment of observed combination effects (C-Ecomb,observed).
Main Results:
- The UE method accurately identifies additivity, synergy, and antagonism based on the location of C-Ecomb,observed relative to the UE (p<0.05 for significant interactions).
- In silico studies revealed that the Additivity Envelope's shape and size are influenced by drug concentration ratios and C-E curve parameters.
- Analysis of experimental data for drugs with nonparallel C-E curves and/or unequal Emax demonstrated UE's superior versatility and information yield compared to older methods.
Conclusions:
- The Uncertainty Envelope (UE) is a broadly applicable and statistically robust method for analyzing drug interactivity.
- UE facilitates the assessment of synergy and antagonism, even when drugs exhibit dissimilar concentration-effect relationships.
- This method enhances the understanding of drug combinations in pharmacological research and drug development.