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In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals

Cancer therapy with clinically established anticancer drugs is frequently hampered by the development of drug resistance of tumors and severe side effects in normal organs and tissues. The demand for powerful, but less toxic, drugs is high. Phytochemicals represent an important reservoir for drug de...

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Autores principales: Schäfer, Julia, Klösgen, Vincent Julius, Omer, Ejlal A., Kadioglu, Onat, Mbaveng, Armelle T., Kuete, Victor, Hildebrandt, Andreas, Efferth, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299530/
https://www.ncbi.nlm.nih.gov/pubmed/37373385
http://dx.doi.org/10.3390/ijms241210240
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author Schäfer, Julia
Klösgen, Vincent Julius
Omer, Ejlal A.
Kadioglu, Onat
Mbaveng, Armelle T.
Kuete, Victor
Hildebrandt, Andreas
Efferth, Thomas
author_facet Schäfer, Julia
Klösgen, Vincent Julius
Omer, Ejlal A.
Kadioglu, Onat
Mbaveng, Armelle T.
Kuete, Victor
Hildebrandt, Andreas
Efferth, Thomas
author_sort Schäfer, Julia
collection PubMed
description Cancer therapy with clinically established anticancer drugs is frequently hampered by the development of drug resistance of tumors and severe side effects in normal organs and tissues. The demand for powerful, but less toxic, drugs is high. Phytochemicals represent an important reservoir for drug development and frequently exert less toxicity than synthetic drugs. Bioinformatics can accelerate and simplify the highly complex, time-consuming, and expensive drug development process. Here, we analyzed 375 phytochemicals using virtual screenings, molecular docking, and in silico toxicity predictions. Based on these in silico studies, six candidate compounds were further investigated in vitro. Resazurin assays were performed to determine the growth-inhibitory effects towards wild-type CCRF-CEM leukemia cells and their multidrug-resistant, P-glycoprotein (P-gp)-overexpressing subline, CEM/ADR5000. Flow cytometry was used to measure the potential to measure P-gp-mediated doxorubicin transport. Bidwillon A, neobavaisoflavone, coptisine, and z-guggulsterone all showed growth-inhibitory effects and moderate P-gp inhibition, whereas miltirone and chamazulene strongly inhibited tumor cell growth and strongly increased intracellular doxorubicin uptake. Bidwillon A and miltirone were selected for molecular docking to wildtype and mutated P-gp forms in closed and open conformations. The P-gp homology models harbored clinically relevant mutations, i.e., six single missense mutations (F336Y, A718C, Q725A, F728A, M949C, Y953C), three double mutations (Y310A-F728A; F343C-V982C; Y953A-F978A), or one quadruple mutation (Y307C-F728A-Y953A-F978A). The mutants did not show major differences in binding energies compared to wildtypes. Closed P-gp forms generally showed higher binding affinities than open ones. Closed conformations might stabilize the binding, thereby leading to higher binding affinities, while open conformations may favor the release of compounds into the extracellular space. In conclusion, this study described the capability of selected phytochemicals to overcome multidrug resistance.
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spelling pubmed-102995302023-06-28 In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals Schäfer, Julia Klösgen, Vincent Julius Omer, Ejlal A. Kadioglu, Onat Mbaveng, Armelle T. Kuete, Victor Hildebrandt, Andreas Efferth, Thomas Int J Mol Sci Article Cancer therapy with clinically established anticancer drugs is frequently hampered by the development of drug resistance of tumors and severe side effects in normal organs and tissues. The demand for powerful, but less toxic, drugs is high. Phytochemicals represent an important reservoir for drug development and frequently exert less toxicity than synthetic drugs. Bioinformatics can accelerate and simplify the highly complex, time-consuming, and expensive drug development process. Here, we analyzed 375 phytochemicals using virtual screenings, molecular docking, and in silico toxicity predictions. Based on these in silico studies, six candidate compounds were further investigated in vitro. Resazurin assays were performed to determine the growth-inhibitory effects towards wild-type CCRF-CEM leukemia cells and their multidrug-resistant, P-glycoprotein (P-gp)-overexpressing subline, CEM/ADR5000. Flow cytometry was used to measure the potential to measure P-gp-mediated doxorubicin transport. Bidwillon A, neobavaisoflavone, coptisine, and z-guggulsterone all showed growth-inhibitory effects and moderate P-gp inhibition, whereas miltirone and chamazulene strongly inhibited tumor cell growth and strongly increased intracellular doxorubicin uptake. Bidwillon A and miltirone were selected for molecular docking to wildtype and mutated P-gp forms in closed and open conformations. The P-gp homology models harbored clinically relevant mutations, i.e., six single missense mutations (F336Y, A718C, Q725A, F728A, M949C, Y953C), three double mutations (Y310A-F728A; F343C-V982C; Y953A-F978A), or one quadruple mutation (Y307C-F728A-Y953A-F978A). The mutants did not show major differences in binding energies compared to wildtypes. Closed P-gp forms generally showed higher binding affinities than open ones. Closed conformations might stabilize the binding, thereby leading to higher binding affinities, while open conformations may favor the release of compounds into the extracellular space. In conclusion, this study described the capability of selected phytochemicals to overcome multidrug resistance. MDPI 2023-06-16 /pmc/articles/PMC10299530/ /pubmed/37373385 http://dx.doi.org/10.3390/ijms241210240 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schäfer, Julia
Klösgen, Vincent Julius
Omer, Ejlal A.
Kadioglu, Onat
Mbaveng, Armelle T.
Kuete, Victor
Hildebrandt, Andreas
Efferth, Thomas
In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals
title In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals
title_full In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals
title_fullStr In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals
title_full_unstemmed In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals
title_short In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals
title_sort in silico and in vitro identification of p-glycoprotein inhibitors from a library of 375 phytochemicals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299530/
https://www.ncbi.nlm.nih.gov/pubmed/37373385
http://dx.doi.org/10.3390/ijms241210240
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