Scientific article

Usefulness of PBPK Modeling in Incorporation of Clinical Conditions in Personalized Medicine

Published inJournal of Pharmaceutical Sciences, vol. 106, no. 9, p. 2380-2391
Publication date2017

Personalized medicine aims to determine the most adequate treatment and dose regimen to obtain the maximum efficacy and minimum side effect by taking into account patients' characteristics. For numerous reasons, one being ethical and methodological hurdles in including specific populations in clinical trials, innovative methods for optimization of drugs safety and efficacy in such patients have received increasing interest recently. Physiological-based pharmacokinetic (PBPK) modeling has emerged as a promising approach in designing adequate clinical trials and quantifying anticipated changes in unknown clinical situations. In this review, current state of knowledge on the usefulness of PBPK modeling in estimation of drug exposure in specific medical conditions including pregnancy, pediatrics, elderly, patients with liver or renal impairment, obesity, and following bariatric surgery were outlined. Modulations of key system parameters occurring in these patient populations were illustrated. Furthermore, the application of PBPK approach in dose recommendations and quantification of drug exposure in carriers of genetic polymorphisms was summarized. Despite the uncertainties and knowledge gaps related to parameters influencing drugs bioavailability in each clinical condition, PBPK models provide a valuable support for prospective dose recommendations and efficacy/safety assessment in special populations when consistent clinical data are lacking.

Citation (ISO format)
MARSOUSI, Niloufar et al. Usefulness of PBPK Modeling in Incorporation of Clinical Conditions in Personalized Medicine. In: Journal of Pharmaceutical Sciences, 2017, vol. 106, n° 9, p. 2380–2391. doi: 10.1016/j.xphs.2017.04.035
ISSN of the journal0022-3549

Technical informations

Creation07/26/2017 3:08:00 PM
First validation07/26/2017 3:08:00 PM
Update time03/15/2023 2:03:30 AM
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