Citation
Darwich, Adam S., et al. "IMI - Oral Biopharmaceutics Tools Project - Evaluation of Bottom-up PBPK Prediction Success Part 3: Identifying Gaps in System Parameters By Analysing in Silico Performance Across Different Compound Classes." European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences, vol. 96, 2017, pp. 626-642.
Darwich AS, Margolskee A, Pepin X, et al. IMI - Oral biopharmaceutics tools project - Evaluation of bottom-up PBPK prediction success part 3: Identifying gaps in system parameters by analysing In Silico performance across different compound classes. Eur J Pharm Sci. 2017;96:626-642.
Darwich, A. S., Margolskee, A., Pepin, X., Aarons, L., Galetin, A., Rostami-Hodjegan, A., Carlert, S., Hammarberg, M., Hilgendorf, C., Johansson, P., Karlsson, E., Murphy, D., Tannergren, C., Thörn, H., Yasin, M., Mazuir, F., Nicolas, O., Ramusovic, S., Xu, C., ... Abrahamsson, B. (2017). IMI - Oral biopharmaceutics tools project - Evaluation of bottom-up PBPK prediction success part 3: Identifying gaps in system parameters by analysing In Silico performance across different compound classes. European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences, 96, 626-642. https://doi.org/10.1016/j.ejps.2016.09.037
Darwich AS, et al. IMI - Oral Biopharmaceutics Tools Project - Evaluation of Bottom-up PBPK Prediction Success Part 3: Identifying Gaps in System Parameters By Analysing in Silico Performance Across Different Compound Classes. Eur J Pharm Sci. 2017 Jan 1;96:626-642. PubMed PMID: 27693299.
TY - JOUR
T1 - IMI - Oral biopharmaceutics tools project - Evaluation of bottom-up PBPK prediction success part 3: Identifying gaps in system parameters by analysing In Silico performance across different compound classes.
AU - Darwich,Adam S,
AU - Margolskee,Alison,
AU - Pepin,Xavier,
AU - Aarons,Leon,
AU - Galetin,Aleksandra,
AU - Rostami-Hodjegan,Amin,
AU - Carlert,Sara,
AU - Hammarberg,Maria,
AU - Hilgendorf,Constanze,
AU - Johansson,Pernilla,
AU - Karlsson,Eva,
AU - Murphy,Dónal,
AU - Tannergren,Christer,
AU - Thörn,Helena,
AU - Yasin,Mohammed,
AU - Mazuir,Florent,
AU - Nicolas,Olivier,
AU - Ramusovic,Sergej,
AU - Xu,Christine,
AU - Pathak,Shriram M,
AU - Korjamo,Timo,
AU - Laru,Johanna,
AU - Malkki,Jussi,
AU - Pappinen,Sari,
AU - Tuunainen,Johanna,
AU - Dressman,Jennifer,
AU - Hansmann,Simone,
AU - Kostewicz,Edmund,
AU - He,Handan,
AU - Heimbach,Tycho,
AU - Wu,Fan,
AU - Hoft,Carolin,
AU - Pang,Yan,
AU - Bolger,Michael B,
AU - Huehn,Eva,
AU - Lukacova,Viera,
AU - Mullin,James M,
AU - Szeto,Ke X,
AU - Costales,Chester,
AU - Lin,Jian,
AU - McAllister,Mark,
AU - Modi,Sweta,
AU - Rotter,Charles,
AU - Varma,Manthena,
AU - Wong,Mei,
AU - Mitra,Amitava,
AU - Bevernage,Jan,
AU - Biewenga,Jeike,
AU - Van Peer,Achiel,
AU - Lloyd,Richard,
AU - Shardlow,Carole,
AU - Langguth,Peter,
AU - Mishenzon,Irina,
AU - Nguyen,Mai Anh,
AU - Brown,Jonathan,
AU - Lennernäs,Hans,
AU - Abrahamsson,Bertil,
Y1 - 2016/09/28/
PY - 2016/05/10/received
PY - 2016/08/23/revised
PY - 2016/09/26/accepted
PY - 2016/10/4/pubmed
PY - 2017/4/7/medline
PY - 2016/10/4/entrez
KW - Physiologically-based pharmacokinetics (PBPK)
KW - absorption
KW - biopharmaceutics
KW - drug database
KW - modelling and simulation (M&S)
KW - oral bioavailability (F(oral))
SP - 626
EP - 642
JF - European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
JO - Eur J Pharm Sci
VL - 96
N2 - Three Physiologically Based Pharmacokinetic software packages (GI-Sim, Simcyp® Simulator, and GastroPlus™) were evaluated as part of the Innovative Medicine Initiative Oral Biopharmaceutics Tools project (OrBiTo) during a blinded "bottom-up" anticipation of human pharmacokinetics. After data analysis of the predicted vs. measured pharmacokinetics parameters, it was found that oral bioavailability (Foral) was underpredicted for compounds with low permeability, suggesting improper estimates of intestinal surface area, colonic absorption and/or lack of intestinal transporter information. Foral was also underpredicted for acidic compounds, suggesting overestimation of impact of ionisation on permeation, lack of information on intestinal transporters, or underestimation of solubilisation of weak acids due to less than optimal intestinal model pH settings or underestimation of bile micelle contribution. Foral was overpredicted for weak bases, suggesting inadequate models for precipitation or lack of in vitro precipitation information to build informed models. Relative bioavailability was underpredicted for both high logP compounds as well as poorly water-soluble compounds, suggesting inadequate models for solubility/dissolution, underperforming bile enhancement models and/or lack of biorelevant solubility measurements. These results indicate areas for improvement in model software, modelling approaches, and generation of applicable input data. However, caution is required when interpreting the impact of drug-specific properties in this exercise, as the availability of input parameters was heterogeneous and highly variable, and the modellers generally used the data "as is" in this blinded bottom-up prediction approach.
SN - 1879-0720
UR - https://www.unboundmedicine.com/medline/citation/27693299/IMI___Oral_biopharmaceutics_tools_project___Evaluation_of_bottom_up_PBPK_prediction_success_part_3:_Identifying_gaps_in_system_parameters_by_analysing_In_Silico_performance_across_different_compound_classes_
DB - PRIME
DP - Unbound Medicine
ER -