Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays

In this study, Caco-2 permeability results from different laboratories were compared. Six different sets of apparent permeability coefficient (Papp) values reported in the literature were compared to experimental Papp obtained in our laboratory. The differences were assessed by determining the root...

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Main Authors: Lee, Jong Bong, Zgair, Atheer, Taha, Dhiaa A., Zang, Xiaowei, Kagan, Leonid, Kim, Tae Hwan, Kim, Min Gi, Yun, Hwi-yeol, Fischer, Peter M., Gershkovich, Pavel
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Published: Elsevier 2017
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Online Access:https://eprints.nottingham.ac.uk/39895/
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author Lee, Jong Bong
Zgair, Atheer
Taha, Dhiaa A.
Zang, Xiaowei
Kagan, Leonid
Kim, Tae Hwan
Kim, Min Gi
Yun, Hwi-yeol
Fischer, Peter M.
Gershkovich, Pavel
author_facet Lee, Jong Bong
Zgair, Atheer
Taha, Dhiaa A.
Zang, Xiaowei
Kagan, Leonid
Kim, Tae Hwan
Kim, Min Gi
Yun, Hwi-yeol
Fischer, Peter M.
Gershkovich, Pavel
author_sort Lee, Jong Bong
building Nottingham Research Data Repository
collection Online Access
description In this study, Caco-2 permeability results from different laboratories were compared. Six different sets of apparent permeability coefficient (Papp) values reported in the literature were compared to experimental Papp obtained in our laboratory. The differences were assessed by determining the root mean square error (RMSE) values between the datasets, which reached levels as high as 0.581 for the training set compounds, i.e. ten compounds with known effective human permeability (Peff). The consequences of these differences in Papp for prediction of oral drug absorption were demonstrated by introducing the Papp into the absorption and pharmacokinetics simulation software application GastroPlus™ for prediction of the fraction absorbed (Fa) in humans using calibrated “user-defined permeability models”. The RMSE were calculated to assess the differences between the simulated Fa and experimental values reported in the literature. The RMSE for Fa simulated with the permeability model calibrated using experimental Papp from our laboratory was 0.128. When the calibration was performed using Papp from literature datasets, the RMSE values for Fa were higher in all cases except one. This study shows quantitative lab-to-lab variability of Caco-2 permeability results and the potential consequences this can have in the use of these results for predicting intestinal absorption of drugs.
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spelling nottingham-398952020-05-04T19:57:37Z https://eprints.nottingham.ac.uk/39895/ Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays Lee, Jong Bong Zgair, Atheer Taha, Dhiaa A. Zang, Xiaowei Kagan, Leonid Kim, Tae Hwan Kim, Min Gi Yun, Hwi-yeol Fischer, Peter M. Gershkovich, Pavel In this study, Caco-2 permeability results from different laboratories were compared. Six different sets of apparent permeability coefficient (Papp) values reported in the literature were compared to experimental Papp obtained in our laboratory. The differences were assessed by determining the root mean square error (RMSE) values between the datasets, which reached levels as high as 0.581 for the training set compounds, i.e. ten compounds with known effective human permeability (Peff). The consequences of these differences in Papp for prediction of oral drug absorption were demonstrated by introducing the Papp into the absorption and pharmacokinetics simulation software application GastroPlus™ for prediction of the fraction absorbed (Fa) in humans using calibrated “user-defined permeability models”. The RMSE were calculated to assess the differences between the simulated Fa and experimental values reported in the literature. The RMSE for Fa simulated with the permeability model calibrated using experimental Papp from our laboratory was 0.128. When the calibration was performed using Papp from literature datasets, the RMSE values for Fa were higher in all cases except one. This study shows quantitative lab-to-lab variability of Caco-2 permeability results and the potential consequences this can have in the use of these results for predicting intestinal absorption of drugs. Elsevier 2017-05 Article PeerReviewed Lee, Jong Bong, Zgair, Atheer, Taha, Dhiaa A., Zang, Xiaowei, Kagan, Leonid, Kim, Tae Hwan, Kim, Min Gi, Yun, Hwi-yeol, Fischer, Peter M. and Gershkovich, Pavel (2017) Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays. European Journal of Pharmaceutics and Biopharmaceutics, 114 . pp. 38-42. ISSN 1873-3441 Drug permeability; Caco-2 permeability assay; Lab-to-lab variability; Prediction of oral absorption; GastroPlus http://www.sciencedirect.com/science/article/pii/S0939641116305264 doi:10.1016/j.ejpb.2016.12.027 doi:10.1016/j.ejpb.2016.12.027
spellingShingle Drug permeability; Caco-2 permeability assay; Lab-to-lab variability; Prediction of oral absorption; GastroPlus
Lee, Jong Bong
Zgair, Atheer
Taha, Dhiaa A.
Zang, Xiaowei
Kagan, Leonid
Kim, Tae Hwan
Kim, Min Gi
Yun, Hwi-yeol
Fischer, Peter M.
Gershkovich, Pavel
Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays
title Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays
title_full Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays
title_fullStr Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays
title_full_unstemmed Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays
title_short Quantitative analysis of lab-to-lab variability in Caco-2 permeability assays
title_sort quantitative analysis of lab-to-lab variability in caco-2 permeability assays
topic Drug permeability; Caco-2 permeability assay; Lab-to-lab variability; Prediction of oral absorption; GastroPlus
url https://eprints.nottingham.ac.uk/39895/
https://eprints.nottingham.ac.uk/39895/
https://eprints.nottingham.ac.uk/39895/