1. Predictive Performance of Physiologically Based Pharmacokinetic (PBPK) Modeling of Drugs Extensively Metabolized by Major Cytochrome P450s in Children.
- Author
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Zhou W, Johnson TN, Bui KH, Cheung SYA, Li J, Xu H, Al-Huniti N, and Zhou D
- Subjects
- Acetates metabolism, Acetates pharmacokinetics, Analgesics, Opioid metabolism, Analgesics, Opioid pharmacokinetics, Anti-Asthmatic Agents metabolism, Anti-Asthmatic Agents pharmacokinetics, Anti-Inflammatory Agents, Non-Steroidal metabolism, Anti-Inflammatory Agents, Non-Steroidal pharmacokinetics, Antifungal Agents metabolism, Antifungal Agents pharmacokinetics, Bronchodilator Agents metabolism, Bronchodilator Agents pharmacokinetics, Child, Child, Preschool, Cyclopropanes, Cytochrome P-450 CYP1A2 metabolism, Cytochrome P-450 CYP2C19 metabolism, Cytochrome P-450 CYP2C8 metabolism, Cytochrome P-450 CYP2C9 metabolism, Cytochrome P-450 CYP2D6 metabolism, Cytochrome P-450 CYP3A metabolism, Diclofenac metabolism, Diclofenac pharmacokinetics, Esomeprazole metabolism, Esomeprazole pharmacokinetics, Histamine H1 Antagonists, Non-Sedating metabolism, Histamine H1 Antagonists, Non-Sedating pharmacokinetics, Humans, Infant, Infant, Newborn, Itraconazole metabolism, Itraconazole pharmacokinetics, Lansoprazole metabolism, Lansoprazole pharmacokinetics, Loratadine analogs & derivatives, Loratadine metabolism, Loratadine pharmacokinetics, Ondansetron metabolism, Ondansetron pharmacokinetics, Proton Pump Inhibitors metabolism, Proton Pump Inhibitors pharmacokinetics, Quinolines metabolism, Quinolines pharmacokinetics, Serotonin Antagonists metabolism, Serotonin Antagonists pharmacokinetics, Sufentanil metabolism, Sufentanil pharmacokinetics, Sulfides, Theophylline metabolism, Theophylline pharmacokinetics, Tramadol metabolism, Tramadol pharmacokinetics, Cytochrome P-450 Enzyme System metabolism, Models, Biological, Pharmaceutical Preparations metabolism, Pharmacokinetics
- Abstract
The accuracy of physiologically based pharmacokinetic (PBPK) model prediction in children, especially those younger than 2 years old, has not been systematically evaluated. The aim of this study was to characterize the pediatric predictive performance of the PBPK approach for 10 drugs extensively metabolized by CYP1A2 (theophylline), CYP2C8 (desloratidine, montelukast), CYP2C9 (diclofenac), CYP2C19 (esomeprazole, lansoprazole), CYP2D6 (tramadol), and CYP3A4 (itraconazole, ondansetron, sufentanil). Model performance in children was evaluated by comparing simulated plasma concentration-time profiles with observed clinical results for each drug and age group. PBPK models reasonably predicted the pharmacokinetics of desloratadine, diclofenac, itraconazole, lansoprazole, montelukast, ondansetron, sufentanil, theophylline, and tramadol across all age groups. Collectively, 58 out of 67 predictions were within 2-fold and 43 out of 67 predictions within 1.5-fold of observed values. Developed PBPK models can reasonably predict exposure in children age 1 month and older for an array of predominantly CYP metabolized drugs., (© 2017 American Society for Clinical Pharmacology and Therapeutics.)
- Published
- 2018
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