In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- Julia Schaefer
- Vincent Julius Kloesgen
- Ejlal A Omer
- Onat Kadioglu
- Armelle T Mbaveng
- Victor Kuete
- Andreas Hildebrandt
- Thomas Efferth
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:001014431600001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.3390/ijms241210240
- eISSN
- 1422-0067
- Externe Identifier
- Clarivate Analytics Document Solution ID: K1XB8
- PubMed Identifier: 37373385
- ISSN
- 1661-6596
- Ausgabe der Veröffentlichung
- 12
- Zeitschrift
- INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Schlüsselwörter
- cancer
- chemotherapy
- molecular docking
- multidrug resistance
- natural products
- virtual drug screening
- Artikelnummer
- ARTN 10240
- Datum der Veröffentlichung
- 2023
- Status
- Published
- Titel
- In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals
- Sub types
- Article
- Ausgabe der Zeitschrift
- 24
Data source: Web of Science (Lite)
- Other metadata sources:
-
- Abstract
- <jats:p>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.</jats:p>
- Autoren
- Julia Schäfer
- Vincent Julius Klösgen
- Ejlal A Omer
- Onat Kadioglu
- Armelle T Mbaveng
- Victor Kuete
- Andreas Hildebrandt
- Thomas Efferth
- DOI
- 10.3390/ijms241210240
- eISSN
- 1422-0067
- Ausgabe der Veröffentlichung
- 12
- Zeitschrift
- International Journal of Molecular Sciences
- Sprache
- en
- Online publication date
- 2023
- Paginierung
- 10240 - 10240
- Status
- Published online
- Herausgeber
- MDPI AG
- Herausgeber URL
- http://dx.doi.org/10.3390/ijms241210240
- Datum der Datenerfassung
- 2023
- Titel
- In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals
- Ausgabe der Zeitschrift
- 24
Data source: Crossref
- Abstract
- 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.
- Addresses
- Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Staudinger Weg 5, 55128 Mainz, Germany.
- Autoren
- Julia Schäfer
- Vincent Julius Klösgen
- Ejlal A Omer
- Onat Kadioglu
- Armelle T Mbaveng
- Victor Kuete
- Andreas Hildebrandt
- Thomas Efferth
- DOI
- 10.3390/ijms241210240
- eISSN
- 1422-0067
- Externe Identifier
- PubMed Identifier: 37373385
- PubMed Central ID: PMC10299530
- Funding acknowledgements
- Alexander von Humboldt Foundation:
- German Academic Exchange:
- Marc Strobel, Frankfurt, Germany: private donation
- Open access
- true
- ISSN
- 1422-0067
- Ausgabe der Veröffentlichung
- 12
- Zeitschrift
- International journal of molecular sciences
- Schlüsselwörter
- Cell Line, Tumor
- Humans
- Neoplasms
- Doxorubicin
- Drug Resistance, Neoplasm
- Molecular Docking Simulation
- Phytochemicals
- ATP Binding Cassette Transporter, Subfamily B
- Sprache
- eng
- Medium
- Electronic
- Online publication date
- 2023
- Open access status
- Open Access
- Paginierung
- 10240
- Datum der Veröffentlichung
- 2023
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2023
- Titel
- In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals.
- Sub types
- research-article
- Journal Article
- Ausgabe der Zeitschrift
- 24
Files
https://www.mdpi.com/1422-0067/24/12/10240/pdf?version=1686914366 https://europepmc.org/articles/PMC10299530?pdf=render
Data source: Europe PubMed Central
- Abstract
- 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.
- Date of acceptance
- 2023
- Autoren
- Julia Schäfer
- Vincent Julius Klösgen
- Ejlal A Omer
- Onat Kadioglu
- Armelle T Mbaveng
- Victor Kuete
- Andreas Hildebrandt
- Thomas Efferth
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/37373385
- DOI
- 10.3390/ijms241210240
- eISSN
- 1422-0067
- Externe Identifier
- PubMed Central ID: PMC10299530
- Funding acknowledgements
- Marc Strobel, Frankfurt, Germany: private donation
- Ausgabe der Veröffentlichung
- 12
- Zeitschrift
- Int J Mol Sci
- Schlüsselwörter
- cancer
- chemotherapy
- molecular docking
- multidrug resistance
- natural products
- virtual drug screening
- Humans
- Molecular Docking Simulation
- Drug Resistance, Neoplasm
- Doxorubicin
- Neoplasms
- Phytochemicals
- ATP Binding Cassette Transporter, Subfamily B
- Cell Line, Tumor
- Sprache
- eng
- Country
- Switzerland
- PII
- ijms241210240
- Datum der Veröffentlichung
- 2023
- Status
- Published online
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2023
- Titel
- In Silico and In Vitro Identification of P-Glycoprotein Inhibitors from a Library of 375 Phytochemicals.
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 24
Data source: PubMed
- Beziehungen:
-