The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Human Drug Metabolism and the Cytochromes P450: Application and Relevance of In Vitro Models
Abstract
The cytochromes P450 (CYP s) constitute a superfamily of hemoprotein enzymes that are responsible for the biotransformation of numerous xenobiotics, including therapeutic agents. Studies of the biochemical and enzymatic properties of these enzymes and their molecular genetics and regulation of gene expression and activity have greatly enhanced our understanding of several aspects of clinical pharmacology such as pharmacokinetic variability, drug toxicity, and drug interactions. This review evaluates the major human hepatic drug‐metabolizing CYP enzymes and their clinically relevant substrates, inhibitors, and inducers. Also discussed are the molecular bases and clinical implications of genetic polymorphisms that affect the CYPs. Much of the information on the specificity of substrates and inhibitors of the CYP enzymes is derived from in vitro studies using human liver microsomes and heterologously expressed CYP enzymes. These methods are discussed, and guidelines are provided for designing enzyme kinetic and reaction phenotyping studies using multiple approaches. The strengths, weaknesses, and discrepancies among the different approaches are considered using representative examples. The mathematical models used in predicting the pharmacokinetic clearance of a drug from in vitro estimates of intrinsic clearance and the principles of quantitative in vitro‐in vivo scaling of metabolic drug interactions are also discussed.
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Cites
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“CYP2A6 may participate in procarcinogen activation but has a relatively minor role in drug biotransformation and accounts for only approximately 4% of total immunoquantified human hepatic CYP.7 CYP2A6 is a coumarin 7-hydroxylase, partici- pates in nicotine metabolism, and contributes to the reductive metabolism of the…”
BackgroundInfluentialFitting curves to data using nonlinear regression: a practical and nonmathematical review
Motulsky, H. J., & Ransnas, L. A. (1987) · The FASEB Journal · doi:10.1096/fasebj.1.5.3315805 · Cited by 1,327
The Prediction of Human Pharmacokinetic Parameters from Preclinical and in Vitro Metabolism Data
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Prediction of in vivo drug metabolism in the human liver from in vitro metabolism data
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Cited by
Zhang, D., Chando, T. J., Everett, D. W., Patten, C. J., Dehal, S. S., & Humphreys, W. G. (2005) · Drug Metabolism and Disposition · doi:10.1124/dmd.105.005447 · Cited by 286
Patki, K. C., von Moltke, L. L., & Greenblatt, D. J. (2003) · Drug Metabolism and Disposition · doi:10.1124/dmd.31.7.938 · Cited by 263
Self-citationLépine, J., Bernard, O., Plante, M., Têtu, B., Pelletier, G., Labrie, F., Bélanger, A., & Guillemette, C. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0331 · Cited by 205
In vitro Tests for Predicting Drug‐Drug Interactions: The Need for Validated Procedures
Kremers, P. (2002) · Pharmacology & Toxicology · doi:10.1034/j.1600-0773.2002.910501.x · Cited by 41
Dhillon, A., Singh, A., Vohra, H., Ellis, C., Varghese, B., & Gill, S. S. (2022) · Enterprise Information Systems · doi:10.1080/17517575.2020.1820583 · Cited by 32
Metadata
- Authors
- Venkatakrishnan, K., von Moltke, L. L., & Greenblatt, D. J.
- Venue
- The Journal of Clinical Pharmacology
- Publisher
- Wiley
- Published
- 2001-11
- Volume
- 41
- Issue
- 11
- Pages
- 1149-1179
- ISSN
- 0021-9754 (ISSN-L)
- 0091-2700
- 1552-4604
- OpenAlex
- W2066312456
- Cited by
- 308
- References
- 4
- FWCI
- 17.17
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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