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In silico Prediction of Malvaviscus arboreus Metabolites and Green Synthesis of Silver Nanoparticles – Opportunities for Safer Anti-Bacterial and Anti-Cancer Precision Medicine
INTRODUCTION: Biogenic silver nanoparticles (AgNPs) may be a feasible therapeutic option in the research and development towards selectively targeting specific cancers and microbial infections, lending a role in precision medicine. In-silico methods are a viable strategy to aid in drug discovery by...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149080/ https://www.ncbi.nlm.nih.gov/pubmed/37131545 http://dx.doi.org/10.2147/IJN.S400195 |
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author | Mohammed, Afrah E Alghamdi, Sahar S Shami, Ashwag Suliman, Rasha Saad Aabed, Kawther Alotaibi, Modhi O Rahman, Ishrat |
author_facet | Mohammed, Afrah E Alghamdi, Sahar S Shami, Ashwag Suliman, Rasha Saad Aabed, Kawther Alotaibi, Modhi O Rahman, Ishrat |
author_sort | Mohammed, Afrah E |
collection | PubMed |
description | INTRODUCTION: Biogenic silver nanoparticles (AgNPs) may be a feasible therapeutic option in the research and development towards selectively targeting specific cancers and microbial infections, lending a role in precision medicine. In-silico methods are a viable strategy to aid in drug discovery by identifying lead plant bioactive molecules for further wet lab and animal experiments. METHODS: Green synthesis of M-AgNPs was performed using the aqueous extract from the Malvaviscus arboreus leaves, characterized using UV spectroscopy, FTIR, TEM, DLS, and EDS. In addition, Ampicillin conjugated M-AgNPs were also synthesized. The cytotoxic potential of the M-AgNPs was evaluated using the MTT assay on MDA-MB 231, MCF10A, and HCT116 cancer cell lines. The antimicrobial effects were determined using the agar well diffusion assay on methicillin-resistant S. aureus (MRSA) and S. mutans, E. coli, and Klebsiella pneumoniae. Additionally, LC-MS was used to identify the phytometabolites, and in silico techniques were applied to determine the pharmacodynamic and pharmacokinetic profiles of the identified metabolites. RESULTS: Spherical M-AgNPs were successfully biosynthesized with a mean diameter of 21.8 nm and were active on all tested bacteria. Conjugation with ampicillin increased the susceptibility of the bacteria. These antibacterial effects were most predominant in Staphylococcus aureus (p < 0.0001). M-AgNPs had potent cytotoxic activity against the colon cancer cell line (IC(50)=29.5 μg/mL). In addition, four secondary metabolites were identified, Astragalin, 4-hydroxyphenyl acetic acid, Caffeic acid, and Vernolic acid. In silico studies identified Astragalin as the most active antibacterial and anti-cancer metabolite, binding strongly to the carbonic anhydrase IX enzyme with a comparatively higher number of residual interactions. DISCUSSION: Synthesis of green AgNPs presents a new opportunity in the field of precision medicine, the concept centered on the biochemical properties and biological effects of the functional groups present in the plant metabolites used for reduction and capping. M-AgNPs may be useful in treating colon carcinoma and MRSA infections. Astragalin appears to be the optimal and safe lead for further anti-cancer and anti-microbial drug development. |
format | Online Article Text |
id | pubmed-10149080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-101490802023-05-01 In silico Prediction of Malvaviscus arboreus Metabolites and Green Synthesis of Silver Nanoparticles – Opportunities for Safer Anti-Bacterial and Anti-Cancer Precision Medicine Mohammed, Afrah E Alghamdi, Sahar S Shami, Ashwag Suliman, Rasha Saad Aabed, Kawther Alotaibi, Modhi O Rahman, Ishrat Int J Nanomedicine Original Research INTRODUCTION: Biogenic silver nanoparticles (AgNPs) may be a feasible therapeutic option in the research and development towards selectively targeting specific cancers and microbial infections, lending a role in precision medicine. In-silico methods are a viable strategy to aid in drug discovery by identifying lead plant bioactive molecules for further wet lab and animal experiments. METHODS: Green synthesis of M-AgNPs was performed using the aqueous extract from the Malvaviscus arboreus leaves, characterized using UV spectroscopy, FTIR, TEM, DLS, and EDS. In addition, Ampicillin conjugated M-AgNPs were also synthesized. The cytotoxic potential of the M-AgNPs was evaluated using the MTT assay on MDA-MB 231, MCF10A, and HCT116 cancer cell lines. The antimicrobial effects were determined using the agar well diffusion assay on methicillin-resistant S. aureus (MRSA) and S. mutans, E. coli, and Klebsiella pneumoniae. Additionally, LC-MS was used to identify the phytometabolites, and in silico techniques were applied to determine the pharmacodynamic and pharmacokinetic profiles of the identified metabolites. RESULTS: Spherical M-AgNPs were successfully biosynthesized with a mean diameter of 21.8 nm and were active on all tested bacteria. Conjugation with ampicillin increased the susceptibility of the bacteria. These antibacterial effects were most predominant in Staphylococcus aureus (p < 0.0001). M-AgNPs had potent cytotoxic activity against the colon cancer cell line (IC(50)=29.5 μg/mL). In addition, four secondary metabolites were identified, Astragalin, 4-hydroxyphenyl acetic acid, Caffeic acid, and Vernolic acid. In silico studies identified Astragalin as the most active antibacterial and anti-cancer metabolite, binding strongly to the carbonic anhydrase IX enzyme with a comparatively higher number of residual interactions. DISCUSSION: Synthesis of green AgNPs presents a new opportunity in the field of precision medicine, the concept centered on the biochemical properties and biological effects of the functional groups present in the plant metabolites used for reduction and capping. M-AgNPs may be useful in treating colon carcinoma and MRSA infections. Astragalin appears to be the optimal and safe lead for further anti-cancer and anti-microbial drug development. Dove 2023-04-26 /pmc/articles/PMC10149080/ /pubmed/37131545 http://dx.doi.org/10.2147/IJN.S400195 Text en © 2023 Mohammed et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Mohammed, Afrah E Alghamdi, Sahar S Shami, Ashwag Suliman, Rasha Saad Aabed, Kawther Alotaibi, Modhi O Rahman, Ishrat In silico Prediction of Malvaviscus arboreus Metabolites and Green Synthesis of Silver Nanoparticles – Opportunities for Safer Anti-Bacterial and Anti-Cancer Precision Medicine |
title | In silico Prediction of Malvaviscus arboreus Metabolites and Green Synthesis of Silver Nanoparticles – Opportunities for Safer Anti-Bacterial and Anti-Cancer Precision Medicine |
title_full | In silico Prediction of Malvaviscus arboreus Metabolites and Green Synthesis of Silver Nanoparticles – Opportunities for Safer Anti-Bacterial and Anti-Cancer Precision Medicine |
title_fullStr | In silico Prediction of Malvaviscus arboreus Metabolites and Green Synthesis of Silver Nanoparticles – Opportunities for Safer Anti-Bacterial and Anti-Cancer Precision Medicine |
title_full_unstemmed | In silico Prediction of Malvaviscus arboreus Metabolites and Green Synthesis of Silver Nanoparticles – Opportunities for Safer Anti-Bacterial and Anti-Cancer Precision Medicine |
title_short | In silico Prediction of Malvaviscus arboreus Metabolites and Green Synthesis of Silver Nanoparticles – Opportunities for Safer Anti-Bacterial and Anti-Cancer Precision Medicine |
title_sort | in silico prediction of malvaviscus arboreus metabolites and green synthesis of silver nanoparticles – opportunities for safer anti-bacterial and anti-cancer precision medicine |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149080/ https://www.ncbi.nlm.nih.gov/pubmed/37131545 http://dx.doi.org/10.2147/IJN.S400195 |
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