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Miia Turpeinen

Researcher at Oulu University Hospital

Publications -  79
Citations -  4617

Miia Turpeinen is an academic researcher from Oulu University Hospital. The author has contributed to research in topics: Metabolite & CYP2B6. The author has an hindex of 34, co-authored 77 publications receiving 4084 citations. Previous affiliations of Miia Turpeinen include University of Turku & University of Oulu.

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Functional pharmacogenetics/genomics of human cytochromes P450 involved in drug biotransformation

TL;DR: The elimination routes for the 200 drugs that are sold most often by prescription count in the United States were investigated and Clinically well-established polymorphic CYPs were involved in the metabolism of approximately half of those drugs, including NSAIDs metabolized mainly by CYP2C9, proton-pump inhibitors metabolized by CYD2C19, and beta blockers and several antipsychotics and antidepressants metabolizing by CYB2D6.
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Inhibition and induction of human cytochrome P450 enzymes: current status.

TL;DR: This review covers both inhibition and induction of CYP enzymes, always keeping in mind the basic mechanisms on which to build predictive and preventive in vitro approaches.
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Stable expression, activity, and inducibility of cytochromes P450 in differentiated HepaRG cells.

TL;DR: The data support the conclusion that HepaRG cells represent a promising surrogate to primary human hepatocytes for xenobiotic metabolism and toxicity studies and a good correlation was observed between transcript levels and corresponding activities.
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Effect of clopidogrel and ticlopidine on cytochrome P450 2B6 activity as measured by bupropion hydroxylation.

TL;DR: The objective was to study the effect of the antiplatelet agents clopidogrel and ticlopidine on bupropion (INN, amfebutamone) hydroxylation, a probe reaction for cytochrome P450 (CYP) 2B6 activity.
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Prediction of drug metabolism and interactions on the basis of in vitro investigations.

TL;DR: Advances made especially in analytical capabilities and in in vitro technologies that are employed to predict in vivo metabolite profile, pharmacokinetic parameters and drug-drug interaction potential help in the drug development process by providing important information for the selection of a lead compound.