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Published on: April 23, 2019
Compound Property Optimization in Drug Discovery Using Quantitative Surface Sampling Micro Liquid Chromatography with
Xiaohui Chen, Panos Hatsis1, Joyce Judge
1Drug Metabolism & Pharmacokinetics, Novartis Institutes for BioMedical Research, Inc. 1 Health Plaza, East Hanover, New Jersey 07936 United States.
Surface sampling micro liquid chromatography tandem mass spectrometry (SSμLC-MS/MS) offers a sensitive method for quantitative tissue distribution analysis in drug discovery. This technique accurately measures compound properties, aiding in understanding drug behavior within tissues.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Analytical Chemistry
- Biomedical Sciences
Background:
- Quantitative tissue distribution is crucial for understanding drug pharmacokinetics and efficacy.
- Traditional methods for tissue analysis can be labor-intensive and may not fully capture spatial distribution.
- Developing sensitive and accurate methods for probing compound distribution in tissues is essential for drug discovery.
Purpose of the Study:
- To explore surface sampling micro liquid chromatography tandem mass spectrometry (SSμLC-MS/MS) as a quantitative tissue distribution technique.
- To develop and validate a method for creating standard curves using surrogate tissue sections.
- To establish a novel approach for evaluating tissue extraction efficiency.
Main Methods:
- Development of standard curves using spiked surrogate tissue sections.
- Quantitative analysis using SSμLC-MS/MS.
- Experimental and mathematical evaluation of tissue extraction efficiency via consecutive sampling.
Main Results:
- Standard curves demonstrated good linearity and high sensitivity.
- Accuracy and precision of standards met acceptance criteria (±30%).
- Observed extraction efficiencies ranged from 69% to 82% with acceptable variation, showing agreement between surrogate and incurred tissue sections.
Conclusions:
- SSμLC-MS/MS is a viable quantitative technique for tissue distribution studies in drug discovery.
- The developed method provides accurate and sensitive analysis of compound distribution.
- The novel extraction efficiency evaluation method enhances the reliability of tissue distribution data.
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