Maciej Czerwinski
University of Washington
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Featured researches published by Maciej Czerwinski.
Drug Metabolism and Disposition | 2007
Matthew Wortham; Maciej Czerwinski; Lin He; Andrew Parkinson; Yu Jui Yvonne Wan
Identification of genetic variation predictive of clearance rate of a wide variety of prescription drugs could lead to cost-effective personalized medicine. Here we identify regulatory genes whose variable expression level among individuals may have widespread effects upon clearance rate of a variety of drugs. Twenty liver samples with variable CYP3A activity were profiled for expression level and activity of xenobiotic metabolism genes as well as genes involved in the regulation thereof. Regulatory genes whose expression level accounted for the highest degree of collinearity among expression levels of xenobiotic metabolism genes were identified as possible master regulators of drug clearance rate. Significant linear correlations (p < 0.05) were identified among mRNA levels of CYP2A6, CYP2B6, CYP2C8, CYP2C9, CYP2C19, MRP2, OATP2, P450 oxidoreductase (POR), and UDP-glucuronosyltranferase 1A1, suggesting that these xenobiotic metabolism genes are coregulated at the transcriptional level. Using partial regression analysis, constitutive androstane receptor (CAR) and hepatic nuclear factor 4α (HNF4α) were identified as the nuclear receptors whose expression levels are most strongly associated with expression of coregulated xenobiotic metabolism genes. POR expression level, which is also associated with CAR and HNF4α expression level, was found to be strongly associated with the activity of many cytochromes P450. Thus, interindividual variation in the expression level of CAR, HNF4α, and POR probably determines variation in expression and activity of a broad scope of xenobiotic metabolism genes and, accordingly, clearance rate of a variety of xenobiotics. Identification of polymorphisms in these candidate master regulator genes that account for their variable expression among individuals may yield readily detectable biomarkers that could serve as predictors of xenobiotic clearance rate.
Drug Metabolism and Disposition | 2014
Maciej Czerwinski; Faraz Kazmi; Andrew Parkinson; David B. Buckley
Like most infections and certain inflammatory diseases, some therapeutic proteins cause a cytokine-mediated suppression of hepatic drug-metabolizing enzymes, which may lead to pharmacokinetic interactions with small-molecule drugs. We propose a new in vitro method to evaluate the whole blood–mediated effects of therapeutic proteins on drug-metabolizing enzymes in human hepatocytes cocultured with Kupffer cells. The traditional method involves treating hepatocyte cocultures with the therapeutic protein, which detects hepatocyte- and macrophage-mediated suppression of cytochrome P450 (P450). The new method involves treating whole human blood with a therapeutic protein to stimulate the release of cytokines from peripheral blood mononuclear cells (PBMCs), after which plasma is prepared and added to the hepatocyte coculture to evaluate P450 enzyme expression. In this study, human blood was treated for 24 hours at 37°C with bacterial lipopolysaccharide (LPS) or ANC28.1, an antibody against human T-cell receptor CD28. Cytokines were measured in plasma by sandwich immunoassay with electrochemiluminescense detection. Treatment of human hepatocyte cocultures with LPS or with plasma from LPS-treated blood markedly reduced the expression of CYP1A2, CYP2B6, and CYP3A4. However, treatment of hepatocyte cocultures with ANC28.1 did not suppress P450 expression, but treatment with plasma from ANC28.1-treated blood suppressed CYP1A2, CYP2B6, and CYP3A4 activity and mRNA levels. The results demonstrated that applying plasma from human blood treated with a therapeutic protein to hepatocytes cocultured with Kupffer cells is a suitable method to identify those therapeutic proteins that suppress P450 expression by an indirect mechanism—namely, the release of cytokines from PBMCs.
Cancer Research | 1988
Michael C. Alley; Dominic A. Scudiero; Anne Monks; Miriam L. Hursey; Maciej Czerwinski; Donald L. Fine; B. J. Abbott; Joseph G. Mayo; Robert H. Shoemaker; Michael R. Boyd
Drug Metabolism and Disposition | 2003
Ajay Madan; Richard A. Graham; Kathleen M. Carroll; Daniel R. Mudra; L.Alayne Burton; Linda Krueger; April Downey; Maciej Czerwinski; Jameson Forster; Maria D. Ribadeneira; Liang-Shang Gan; Edward L. LeCluyse; Karl Zech; Philmore Robertson; Patrick Koch; Lida Antonian; Greg Wagner; Li Yu; Andrew Parkinson
Journal of the National Cancer Institute | 1990
Theodore L. McLemore; Steven Adelberg; Mark C. Liu; Noreen A. McMahon; Sha Jin Yu; Walter C. Hubbard; Maciej Czerwinski; Thomas G. Wood; Ritsa Storeng; Ronald A. Lubet; Joseph C. Eggleston; Michael R. Boyd; Ronald N. Hines
Drug Metabolism and Disposition | 1996
Maciej Czerwinski; John P. Gibbs; John T. Slattery
Cancer Research | 1994
Maciej Czerwinski; Theodore L. McLemore; Harry V. Gelboin; Frank J. Gonzalez
Cancer Research | 1996
John P. Gibbs; Maciej Czerwinski; John T. Slattery
Cancer Research | 1991
Maciej Czerwinski; Theodore L. McLemore; Richard M. Philpot; Patson T. Nhamburo; Kenneth R. Korzekwa; Harry V. Gelboin; Frank J. Gonzalez
Journal of the National Cancer Institute | 1989
Theodore L. McLemore; Steven Adelberg; Maciej Czerwinski; Walter C. Hubbard; Sha Jin Yu; Ritsa Storeng; Thomas G. Wood; Ronald N. Hines; Michael R. Boyd