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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10299530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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