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In silico drug absorption tract: An agent-based biomimetic model for human oral drug absorption

BACKGROUND: An agent-based modeling approach has been suggested as an alternative to traditional, equation-based modeling methods for describing oral drug absorption. It enables researchers to gain a better understanding of the pharmacokinetic (PK) mechanisms of a drug. This project demonstrates tha...

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Autores principales: Deng, Jianyuan, Jhandey, Anika, Zhu, Xiao, Yang, Zhibo, Yik, Kin Fu Patrick, Zuo, Zhong, Lam, Tai Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6118387/
https://www.ncbi.nlm.nih.gov/pubmed/30169515
http://dx.doi.org/10.1371/journal.pone.0203361
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author Deng, Jianyuan
Jhandey, Anika
Zhu, Xiao
Yang, Zhibo
Yik, Kin Fu Patrick
Zuo, Zhong
Lam, Tai Ning
author_facet Deng, Jianyuan
Jhandey, Anika
Zhu, Xiao
Yang, Zhibo
Yik, Kin Fu Patrick
Zuo, Zhong
Lam, Tai Ning
author_sort Deng, Jianyuan
collection PubMed
description BACKGROUND: An agent-based modeling approach has been suggested as an alternative to traditional, equation-based modeling methods for describing oral drug absorption. It enables researchers to gain a better understanding of the pharmacokinetic (PK) mechanisms of a drug. This project demonstrates that a biomimetic agent-based model can adequately describe the absorption and disposition kinetics both of midazolam and clonazepam. METHODS: An agent-based biomimetic model, in silico drug absorption tract (ISDAT), was built to mimic oral drug absorption in humans. The model consisted of distinct spaces, membranes, and metabolic enzymes, and it was altogether representative of human physiology relating to oral drug absorption. Simulated experiments were run with the model, and the results were compared to the referent data from clinical equivalence trials. Acceptable similarity was verified by pre-specified criteria, which included 1) qualitative visual matching between the clinical and simulated concentration-time profiles, 2) quantitative similarity indices, namely, weighted root mean squared error (RMSE), and weighted mean absolute percentage error (MAPE) and 3) descriptive similarity which requires less than 25% difference between key PK parameters calculated by the clinical and the simulated concentration-time profiles. The model and its parameters were iteratively refined until all similarity criteria were met. Furthermore, simulated PK experiments were conducted to predict bioavailability (F). For better visualization, a graphical user interface for the model was developed and a video is available in Supporting Information. RESULTS: Simulation results satisfied all three levels of similarity criteria for both drugs. The weighted RMSE was 0.51 and 0.92, and the weighted MAPE was 5.99% and 8.43% for midazolam and clonazepam, respectively. Calculated PK parameter values, including area under the curve (AUC), peak plasma drug concentration (C(max)), time to reach C(max) (T(max)), terminal elimination rate constant (Kel), terminal elimination half life (T(1/2)), apparent oral clearance (CL/F), and apparent volume of distribution (V/F), were reasonable compared to the referent values. The predicted absolute oral bioavailability (F) was 44% for midazolam (literature reported value, 31–72%) and 93% (literature reported value, ≥ 90%) for clonazepam. CONCLUSION: The ISDAT met all the pre-specified similarity criteria for both midazolam and clonazepam, and demonstrated its ability to describe absorption kinetics of both drugs. Therefore, the validated ISDAT can be a promising platform for further research into the use of similar in silico models for drug absorption kinetics.
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spelling pubmed-61183872018-09-16 In silico drug absorption tract: An agent-based biomimetic model for human oral drug absorption Deng, Jianyuan Jhandey, Anika Zhu, Xiao Yang, Zhibo Yik, Kin Fu Patrick Zuo, Zhong Lam, Tai Ning PLoS One Research Article BACKGROUND: An agent-based modeling approach has been suggested as an alternative to traditional, equation-based modeling methods for describing oral drug absorption. It enables researchers to gain a better understanding of the pharmacokinetic (PK) mechanisms of a drug. This project demonstrates that a biomimetic agent-based model can adequately describe the absorption and disposition kinetics both of midazolam and clonazepam. METHODS: An agent-based biomimetic model, in silico drug absorption tract (ISDAT), was built to mimic oral drug absorption in humans. The model consisted of distinct spaces, membranes, and metabolic enzymes, and it was altogether representative of human physiology relating to oral drug absorption. Simulated experiments were run with the model, and the results were compared to the referent data from clinical equivalence trials. Acceptable similarity was verified by pre-specified criteria, which included 1) qualitative visual matching between the clinical and simulated concentration-time profiles, 2) quantitative similarity indices, namely, weighted root mean squared error (RMSE), and weighted mean absolute percentage error (MAPE) and 3) descriptive similarity which requires less than 25% difference between key PK parameters calculated by the clinical and the simulated concentration-time profiles. The model and its parameters were iteratively refined until all similarity criteria were met. Furthermore, simulated PK experiments were conducted to predict bioavailability (F). For better visualization, a graphical user interface for the model was developed and a video is available in Supporting Information. RESULTS: Simulation results satisfied all three levels of similarity criteria for both drugs. The weighted RMSE was 0.51 and 0.92, and the weighted MAPE was 5.99% and 8.43% for midazolam and clonazepam, respectively. Calculated PK parameter values, including area under the curve (AUC), peak plasma drug concentration (C(max)), time to reach C(max) (T(max)), terminal elimination rate constant (Kel), terminal elimination half life (T(1/2)), apparent oral clearance (CL/F), and apparent volume of distribution (V/F), were reasonable compared to the referent values. The predicted absolute oral bioavailability (F) was 44% for midazolam (literature reported value, 31–72%) and 93% (literature reported value, ≥ 90%) for clonazepam. CONCLUSION: The ISDAT met all the pre-specified similarity criteria for both midazolam and clonazepam, and demonstrated its ability to describe absorption kinetics of both drugs. Therefore, the validated ISDAT can be a promising platform for further research into the use of similar in silico models for drug absorption kinetics. Public Library of Science 2018-08-31 /pmc/articles/PMC6118387/ /pubmed/30169515 http://dx.doi.org/10.1371/journal.pone.0203361 Text en © 2018 Deng et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Deng, Jianyuan
Jhandey, Anika
Zhu, Xiao
Yang, Zhibo
Yik, Kin Fu Patrick
Zuo, Zhong
Lam, Tai Ning
In silico drug absorption tract: An agent-based biomimetic model for human oral drug absorption
title In silico drug absorption tract: An agent-based biomimetic model for human oral drug absorption
title_full In silico drug absorption tract: An agent-based biomimetic model for human oral drug absorption
title_fullStr In silico drug absorption tract: An agent-based biomimetic model for human oral drug absorption
title_full_unstemmed In silico drug absorption tract: An agent-based biomimetic model for human oral drug absorption
title_short In silico drug absorption tract: An agent-based biomimetic model for human oral drug absorption
title_sort in silico drug absorption tract: an agent-based biomimetic model for human oral drug absorption
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6118387/
https://www.ncbi.nlm.nih.gov/pubmed/30169515
http://dx.doi.org/10.1371/journal.pone.0203361
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