2020
Physiologically Based Pharmacokinetic Modeling in Risk Assessment: Case Study With Pyrethroids
Mallick P, Song G, Efremenko A, Pendse S, Creek M, Osimitz T, Hines R, Hinderliter P, Clewell H, Lake B, Yoon M, Moreau M. Physiologically Based Pharmacokinetic Modeling in Risk Assessment: Case Study With Pyrethroids. Toxicological Sciences 2020, 176: 460-469. PMID: 32421774, PMCID: PMC7416317, DOI: 10.1093/toxsci/kfaa070.Peer-Reviewed Original ResearchConceptsAge-related pharmacokinetic differencesPharmacokinetic differencesPBPK modelTarget tissue exposureAge-related sensitivityHuman PBPK modelAge-dependent changesAge-related differencesRat modelTissue exposureVivo rat dataPharmacokinetic modellingPharmacokinetic modelingInternal exposureRat dataRisk assessmentVivo extrapolationRisk assessment purposesExposureAdultsExternal exposureSensitive populationsChildrenMetabolic capacityAssessment
2019
Development and Application of a Life-Stage Physiologically Based Pharmacokinetic (PBPK) Model to the Assessment of Internal Dose of Pyrethroids in Humans
Mallick P, Moreau M, Song G, Efremenko A, Pendse S, Creek M, Osimitz T, Hines R, Hinderliter P, Clewell H, Lake B, Yoon M. Development and Application of a Life-Stage Physiologically Based Pharmacokinetic (PBPK) Model to the Assessment of Internal Dose of Pyrethroids in Humans. Toxicological Sciences 2019, 173: 86-99. PMID: 31593217, PMCID: PMC6944222, DOI: 10.1093/toxsci/kfz211.Peer-Reviewed Original ResearchConceptsTarget tissue exposureTissue exposurePharmacokinetic modelLiver blood flowLow internal exposureAge-related sensitivityAge-dependent changesEfficient metabolic clearanceIndividual cytochrome P450Human hepatic metabolismAge-related differencesCis-permethrinHepatic metabolismBlood flowMetabolic clearanceCES enzymesHepatic CLintInternal doseIntrinsic clearanceTarget tissuesInternal exposureClearanceCarboxylesterase enzymesCytochrome P450Vivo extrapolationA Time-Embedding Network Models the Ontogeny of 23 Hepatic Drug Metabolizing Enzymes
Matlock M, Tambe A, Elliott-Higgins J, Hines R, Miller G, Swamidass S. A Time-Embedding Network Models the Ontogeny of 23 Hepatic Drug Metabolizing Enzymes. Chemical Research In Toxicology 2019, 32: 1707-1721. PMID: 31304741, PMCID: PMC6933754, DOI: 10.1021/acs.chemrestox.9b00223.Peer-Reviewed Original ResearchConceptsAge-dependent changesHepatic Drug Metabolizing EnzymesAdverse drug reactionsValproic acid toxicityDrug metabolizing enzymesDrug metabolism enzymesElimination of drugsPediatric patientsPediatric populationMetabolite exposureDrug reactionsClinical dataElevated riskOverall clearanceDrug toxicityFunction of ageDrug safetyFetal periodMetabolizing enzymesDrug metabolismDrug toxicity risksPotential mechanismsAcid toxicityEnzyme expressionDemographic factors
2012
Developmental expression of drug metabolizing enzymes: Impact on disposition in neonates and young children
Hines R. Developmental expression of drug metabolizing enzymes: Impact on disposition in neonates and young children. International Journal Of Pharmaceutics 2012, 452: 3-7. PMID: 22766445, DOI: 10.1016/j.ijpharm.2012.05.079.Peer-Reviewed Original ResearchConceptsPerinatal changesDrug dispositionPediatric drug safetyYoung childrenDrug metabolizing enzymesAge-dependent changesSignificant interindividual variationAdverse eventsPharmacogenetic factorsHepatic drugFunctional genetic variantsDrug safetyDrug efficacyMetabolizing enzymesPharmacokinetic modelInterindividual variationEnzyme ontogenyDrugsEnzyme expressionChildrenClass 3Genetic variantsMajor determinantClass 1Current knowledge