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Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform

Cytochrome P450 (CYP) 3A7 is one of the major xenobiotic metabolizing enzymes in human embryonic, fetal, and newborn liver. CYP3A7 expression has also been observed in a subset of the adult population, including pregnant women, as well as in various cancer patients. The characterization of CYP3A7 is...

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Autores principales: Kabir, Md, Padilha, Elias C., Shah, Pranav, Huang, Ruili, Sakamuru, Srilatha, Gonzalez, Eric, Ye, Lin, Hu, Xin, Henderson, Mark J., Xia, Menghang, Xu, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283723/
https://www.ncbi.nlm.nih.gov/pubmed/35847040
http://dx.doi.org/10.3389/fphar.2022.899536
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author Kabir, Md
Padilha, Elias C.
Shah, Pranav
Huang, Ruili
Sakamuru, Srilatha
Gonzalez, Eric
Ye, Lin
Hu, Xin
Henderson, Mark J.
Xia, Menghang
Xu, Xin
author_facet Kabir, Md
Padilha, Elias C.
Shah, Pranav
Huang, Ruili
Sakamuru, Srilatha
Gonzalez, Eric
Ye, Lin
Hu, Xin
Henderson, Mark J.
Xia, Menghang
Xu, Xin
author_sort Kabir, Md
collection PubMed
description Cytochrome P450 (CYP) 3A7 is one of the major xenobiotic metabolizing enzymes in human embryonic, fetal, and newborn liver. CYP3A7 expression has also been observed in a subset of the adult population, including pregnant women, as well as in various cancer patients. The characterization of CYP3A7 is not as extensive as other CYPs, and health authorities have yet to provide guidance towards DDI assessment. To identify potential CYP3A7-specific molecules, we used a P450-Glo CYP3A7 enzyme assay to screen a library of ∼5,000 compounds, including FDA-approved drugs and drug-like molecules, and compared these screening data with that from a P450-Glo CYP3A4 assay. Additionally, a subset of 1,000 randomly selected compounds were tested in a metabolic stability assay. By combining the data from the qHTS P450-Glo and metabolic stability assays, we identified several chemical features important for CYP3A7 selectivity. Halometasone was chosen for further evaluation as a potential CYP3A7-selective inhibitor using molecular docking. From the metabolic stability assay, we identified twenty-two CYP3A7-selective substrates over CYP3A4 in supersome setting. Our data shows that CYP3A7 has ligand promiscuity, much like CYP3A4. Furthermore, we have established a large, high-quality dataset that can be used in predictive modeling for future drug metabolism and interaction studies.
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spelling pubmed-92837232022-07-16 Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform Kabir, Md Padilha, Elias C. Shah, Pranav Huang, Ruili Sakamuru, Srilatha Gonzalez, Eric Ye, Lin Hu, Xin Henderson, Mark J. Xia, Menghang Xu, Xin Front Pharmacol Pharmacology Cytochrome P450 (CYP) 3A7 is one of the major xenobiotic metabolizing enzymes in human embryonic, fetal, and newborn liver. CYP3A7 expression has also been observed in a subset of the adult population, including pregnant women, as well as in various cancer patients. The characterization of CYP3A7 is not as extensive as other CYPs, and health authorities have yet to provide guidance towards DDI assessment. To identify potential CYP3A7-specific molecules, we used a P450-Glo CYP3A7 enzyme assay to screen a library of ∼5,000 compounds, including FDA-approved drugs and drug-like molecules, and compared these screening data with that from a P450-Glo CYP3A4 assay. Additionally, a subset of 1,000 randomly selected compounds were tested in a metabolic stability assay. By combining the data from the qHTS P450-Glo and metabolic stability assays, we identified several chemical features important for CYP3A7 selectivity. Halometasone was chosen for further evaluation as a potential CYP3A7-selective inhibitor using molecular docking. From the metabolic stability assay, we identified twenty-two CYP3A7-selective substrates over CYP3A4 in supersome setting. Our data shows that CYP3A7 has ligand promiscuity, much like CYP3A4. Furthermore, we have established a large, high-quality dataset that can be used in predictive modeling for future drug metabolism and interaction studies. Frontiers Media S.A. 2022-07-01 /pmc/articles/PMC9283723/ /pubmed/35847040 http://dx.doi.org/10.3389/fphar.2022.899536 Text en Copyright © 2022 Kabir, Padilha, Shah, Huang, Sakamuru, Gonzalez, Ye, Hu, Henderson, Xia and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Kabir, Md
Padilha, Elias C.
Shah, Pranav
Huang, Ruili
Sakamuru, Srilatha
Gonzalez, Eric
Ye, Lin
Hu, Xin
Henderson, Mark J.
Xia, Menghang
Xu, Xin
Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform
title Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform
title_full Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform
title_fullStr Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform
title_full_unstemmed Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform
title_short Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform
title_sort identification of selective cyp3a7 and cyp3a4 substrates and inhibitors using a high-throughput screening platform
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283723/
https://www.ncbi.nlm.nih.gov/pubmed/35847040
http://dx.doi.org/10.3389/fphar.2022.899536
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