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Functional evaluation of ABCB1 (P-glycoprotein) polymorphisms: high-speed screening and structure-activity
Toshihisa Ishikawa1, Hiroyuki Hirano, Yuko Onishi
1Department of Biomolecular Engineering, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama, Japan. tishikaw@bio.titech.ac.jp
Drug Metabolism and Pharmacokinetics
|October 23, 2004
Summary
Genetic variations in the ABCB1 (MDR1) gene significantly impact drug pharmacokinetics. This review details functional analyses of ABCB1 polymorphisms and presents methods to evaluate their effects on drug transporter function.
Area of Science:
- Pharmacogenomics
- Drug Metabolism and Transport
Background:
- Drug transporters are key determinants of drug pharmacokinetics.
- Genetic variations in drug transporter genes, particularly ABCB1 (MDR1), are extensively studied.
- Limited information exists on the functional impact of ABCB1 genetic polymorphisms.
Purpose of the Study:
- To conduct functional analyses of ABCB1 genetic polymorphisms.
- To quantify the impact of these polymorphisms on ABCB1 substrate specificity.
- To establish a standard method for evaluating the functional effects of ABCB1 polymorphisms.
Main Methods:
- Development of a high-throughput screening system.
- Application of a novel structure-activity relationship (SAR) analysis.
- Functional assessment of reported ABCB1 single nucleotide polymorphisms (SNPs) and insertion/deletion polymorphisms.
Main Results:
- Over fifty SNPs and insertion/deletion polymorphisms in ABCB1 have been identified.
- Functional analyses provide insights into how these variations affect ABCB1 transporter activity.
- The developed methods allow for quantitative evaluation of polymorphism impact.
Conclusions:
- Genetic polymorphisms in ABCB1 significantly influence drug transporter function and substrate specificity.
- Standardized functional evaluation methods are crucial for understanding pharmacogenomic variations.
- This work contributes to predicting drug response based on individual genetic profiles.