Pharmacogenomics (PGx) is widely recognized as an important aspect in personalizedMedicine. By analyzing and interpreting one’s genetic profile dose and drug adjustmentscan be made. In this way,... Show morePharmacogenomics (PGx) is widely recognized as an important aspect in personalizedMedicine. By analyzing and interpreting one’s genetic profile dose and drug adjustmentscan be made. In this way, one can strive to improve the safety and efficacy of drugtreatments. Nonetheless, not all genetic variability in drug response can be explained withcurrent PGx. In this thesis we explore the role of additional genetic factors which can explain this missing heritability. Firstly, rare and novel variants which are unaccounted for in routine PGx panels might play a role. Secondly, the complexity of pharmacogenes can result in an inability tounravel the genetic make-up of these genes. Thirdly, haplotype phasing is generally nottaken into account in PGx. Fourthly, all genetic variants are currently summarized intoone of four metabolic categories: poor metabolizers (PM), intermediate metabolizers(IM), normal metabolizers (NM) (previously EM) and ultra-rapid metabolizers (UM).However, enzyme activity is not a matter of ‘on’ or ‘off ’, but is more of a continuous scale.Finally, the effect of a genetic variant on drug metabolism shows substrate specific effects.This substrate specificity can result in erroneous extrapolation of variant effects to theentire range of substrates. The development of novel technologies to determine one’sgenetic make-up is evolving rapidly, thereby providing opportunities for the field of PGxto address these issues. In this thesis we show that by using long-read sequencing or trio-based sequencing more information can be obtained which can lead to a better understanding of the (rare) variants and can help with haplotype phasing. Moreover, we have shown that by combining long-read sequencing with artificial intelligence a substantial increase in explained variability can be achieved. Show less
Growth and development affect the metabolism of drugs administered to neonates, infants, and children. Research in this thesis focused on the metabolism by cytochrome P450 (CYP) 3A enzymes, aiming... Show moreGrowth and development affect the metabolism of drugs administered to neonates, infants, and children. Research in this thesis focused on the metabolism by cytochrome P450 (CYP) 3A enzymes, aiming to predict CYP3A-mediated clearance in neonates, infants, and children, by development of pediatric (physiological) population pharmacokinetic models.CYP3A-mediated systemic metabolism of midazolam in critically ill pediatric patients was found to be impacted by body weight, critical illness, and inflammation. The developed model was subsequently found to accurately predict clearance in postoperative children or critically ill patients. Furthermore, advanced physiological modelling methods were applied to distinguish between first-pass and systemic CYP3A-mediated metabolism to elucidate the role of intestinal and hepatic CYP3A in neonates and children covering the whole pediatric age range. Lastly, it was described when a pediatric covariate function for CYP3A-mediated midazolam clearance could be applied to scale plasma clearance of other CYP3A substrates in the pediatric population.This work will significantly improve CYP3A-mediated clearance predictions in neonates, infants, and children, which will ultimately lead to rational support for pediatric doses of CYP3A substrates in first-in-child studies during drug development and for pediatric dose recommendations for CYP3A substrates in clinical practice. Show less
Mladic, M.; Scholten, D.J.; Wijtmans, M.; Falck, D.; Leurs, R.; Niessen, W.M.A.; ... ; Kool, J. 2015
