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Cytochrome P450 phenotyping using the Geneva cocktail improves metabolic capacity prediction in a hospitalized patient population

YS. Gloor, M. Mouterde, J. Terrier, C. Lenoir, P. Gosselin, V. Rollason, JL. Reny, S. Boukouvala, S. Al-Yahyaee, G. Yimer, V. Černý, ES. Poloni, CF. Samer, Y. Daali

. 2025 ; 91 (5) : 1382-1395. [pub] 20241219

Language English Country England, Great Britain

Document type Journal Article

Persistent link   https://www.medvik.cz/link/bmc25015985

Grant support
FNS 310030_159669 Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
FNS 320030_182361 Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
University of Geneva

AIMS: Liver cytochromes (CYPs) play an important role in drug metabolism but display a large interindividual variability resulting both from genetic and environmental factors. Most drug dose adjustment guidelines are based on genetics performed in healthy volunteers. However, hospitalized patients are not only more likely to be the target of new prescriptions and drug treatment modifications than healthy volunteers, but will also be more subject to polypharmacy, drug-drug interactions, or to suffer from disease or inflammation affecting CYP activities. METHODS: We compared predicted phenotype based on genetic data and measured phenotype using the Geneva cocktail to determine the extent of drug metabolizing enzyme variability in a large population of hospitalized patients (>500) and healthy young volunteers (>300). We aimed to assess the correlation between predicted and measured phenotype in the two populations. RESULTS: We found that, even in cases where the genetically predicted metabolizer group correlates well with measured CYP activity at group level, this prediction lacks accuracy for the determination of individual metabolizer capacities. Drugs can have a profound impact on CYP activity, but even after combining genetic and drug treatment information, the activity of a significant proportion of extreme metabolizers could not be explained. CONCLUSIONS: Our results support the use of measured metabolic ratios in addition to genotyping for accurate determination of individual metabolic capacities to guide personalized drug prescription.

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$a AIMS: Liver cytochromes (CYPs) play an important role in drug metabolism but display a large interindividual variability resulting both from genetic and environmental factors. Most drug dose adjustment guidelines are based on genetics performed in healthy volunteers. However, hospitalized patients are not only more likely to be the target of new prescriptions and drug treatment modifications than healthy volunteers, but will also be more subject to polypharmacy, drug-drug interactions, or to suffer from disease or inflammation affecting CYP activities. METHODS: We compared predicted phenotype based on genetic data and measured phenotype using the Geneva cocktail to determine the extent of drug metabolizing enzyme variability in a large population of hospitalized patients (>500) and healthy young volunteers (>300). We aimed to assess the correlation between predicted and measured phenotype in the two populations. RESULTS: We found that, even in cases where the genetically predicted metabolizer group correlates well with measured CYP activity at group level, this prediction lacks accuracy for the determination of individual metabolizer capacities. Drugs can have a profound impact on CYP activity, but even after combining genetic and drug treatment information, the activity of a significant proportion of extreme metabolizers could not be explained. CONCLUSIONS: Our results support the use of measured metabolic ratios in addition to genotyping for accurate determination of individual metabolic capacities to guide personalized drug prescription.
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$a Mouterde, Médéric $u Department of Genetics and Evolution, Laboratory of Anthropology, Genetics and Peopling history, University of Geneva, Geneva, Switzerland
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$a Lenoir, Camille $u Division of Clinical Pharmacology and Toxicology, Department of Anesthesiology, Pharmacology, Intensive Care and Emergency, Geneva University Hospitals (HUG), Geneva, Switzerland
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$a Gosselin, Pauline $u Division of General Internal Medicine, Department of Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland $u Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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$a Reny, Jean-Luc $u Division of General Internal Medicine, Department of Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland $u Geneva Platelet Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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$a Boukouvala, Sotiria $u Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece
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$a Al-Yahyaee, Said $u Department of Genetics, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman
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$a Yimer, Getnet $u Center for Global Genomics & Health Equity, Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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$a Černý, Viktor $u Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic
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$a Samer, Caroline F $u Division of Clinical Pharmacology and Toxicology, Department of Anesthesiology, Pharmacology, Intensive Care and Emergency, Geneva University Hospitals (HUG), Geneva, Switzerland
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