Artificial neural network approach for prediction of AuNPs biosynthesis by Streptomyces flavolimosus, characterization, antitumor potency in-vitro and in-vivo against Ehrlich ascites carcinoma
Abstract Gold nanoparticles (AuNPs) have emerged as promising and versatile nanoparticles for cancer therapy and are widely used in drug and gene delivery, biomedical imaging, diagnosis, and biosensors. The current study describes a biological-based strategy for AuNPs biosynthesis using the cell-fre...
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| Format: | Article |
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Nature Portfolio
2023-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-39177-4 |
| _version_ | 1797453345939521536 |
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| author | Noura El-Ahmady El-Naggar Nashwa H. Rabei Mohamed F. Elmansy Omar T. Elmessiry Mostafa K. El-Sherbeny Mohanad E. El-Saidy Mohamed T. Sarhan Manar G. Helal |
| author_facet | Noura El-Ahmady El-Naggar Nashwa H. Rabei Mohamed F. Elmansy Omar T. Elmessiry Mostafa K. El-Sherbeny Mohanad E. El-Saidy Mohamed T. Sarhan Manar G. Helal |
| author_sort | Noura El-Ahmady El-Naggar |
| collection | DOAJ |
| description | Abstract Gold nanoparticles (AuNPs) have emerged as promising and versatile nanoparticles for cancer therapy and are widely used in drug and gene delivery, biomedical imaging, diagnosis, and biosensors. The current study describes a biological-based strategy for AuNPs biosynthesis using the cell-free supernatant of Streptomyces flavolimosus. The biosynthesized AuNPs have an absorption peak at 530–535 nm. The TEM images indicate that AuNPs were spherical and ranged in size from 4 to 20 nm. The surface capping molecules of AuNPs are negatively charged, having a Zeta potential of − 10.9 mV. FTIR analysis revealed that the AuNPs surface composition contains a variety of functional groups as –OH, C–H, N–, C=O, NH3 +, amine hydrochloride, amide group of proteins, C–C and C–N. The bioprocess variables affecting AuNPs biosynthesis were optimized by using the central composite design (CCD) in order to maximize the AuNPs biosynthesis. The maximum yield of AuNPs (866.29 µg AuNPs/mL) was obtained using temperature (35 °C), incubation period (4 days), HAuCl4 concentration (1000 µg/mL) and initial pH level 6. Comparison was made between the fitness of CCD versus Artificial neural network (ANN) approach based on their prediction and the corresponding experimental results. AuNPs biosynthesis values predicted by ANN exhibit a more reasonable agreement with the experimental result. The anticancer activities of AuNPs were assessed under both in vitro and in vivo conditions. The results revealed a significant inhibitory effect on the proliferation of the MCF-7 and Hela carcinoma cell lines treated with AuNPs with IC50 value of 13.4 ± 0.44 μg/mL and 13.8 ± 0.45 μg/mL for MCF-7 and Hela cells; respectively. Further, AuNPs showed potential inhibitory effect against tumor growth in tumor-bearing mice models. AuNPs significantly reduced the tumor volume, tumor weight, and decreased number of viable tumor cells in EAC bearing mice. |
| first_indexed | 2024-03-09T15:21:29Z |
| format | Article |
| id | doaj.art-79e74e82e5274c1ca9b9eed40f37fa75 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:21:29Z |
| publishDate | 2023-08-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj.art-79e74e82e5274c1ca9b9eed40f37fa752023-11-26T12:48:18ZengNature PortfolioScientific Reports2045-23222023-08-0113112510.1038/s41598-023-39177-4Artificial neural network approach for prediction of AuNPs biosynthesis by Streptomyces flavolimosus, characterization, antitumor potency in-vitro and in-vivo against Ehrlich ascites carcinoma Noura El-Ahmady El-Naggar0Nashwa H. Rabei1Mohamed F. Elmansy2Omar T. Elmessiry3Mostafa K. El-Sherbeny4Mohanad E. El-Saidy5Mohamed T. Sarhan6Manar G. Helal7Department of Bioprocess Development, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA-City)Department of Bioprocess Development, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA-City)Biotechnology and Its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBiotechnology and Its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBiotechnology and Its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBiotechnology and Its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityBiotechnology and Its Application Program, Department of Botany, Faculty of Science, Mansoura UniversityDepartment of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura UniversityAbstract Gold nanoparticles (AuNPs) have emerged as promising and versatile nanoparticles for cancer therapy and are widely used in drug and gene delivery, biomedical imaging, diagnosis, and biosensors. The current study describes a biological-based strategy for AuNPs biosynthesis using the cell-free supernatant of Streptomyces flavolimosus. The biosynthesized AuNPs have an absorption peak at 530–535 nm. The TEM images indicate that AuNPs were spherical and ranged in size from 4 to 20 nm. The surface capping molecules of AuNPs are negatively charged, having a Zeta potential of − 10.9 mV. FTIR analysis revealed that the AuNPs surface composition contains a variety of functional groups as –OH, C–H, N–, C=O, NH3 +, amine hydrochloride, amide group of proteins, C–C and C–N. The bioprocess variables affecting AuNPs biosynthesis were optimized by using the central composite design (CCD) in order to maximize the AuNPs biosynthesis. The maximum yield of AuNPs (866.29 µg AuNPs/mL) was obtained using temperature (35 °C), incubation period (4 days), HAuCl4 concentration (1000 µg/mL) and initial pH level 6. Comparison was made between the fitness of CCD versus Artificial neural network (ANN) approach based on their prediction and the corresponding experimental results. AuNPs biosynthesis values predicted by ANN exhibit a more reasonable agreement with the experimental result. The anticancer activities of AuNPs were assessed under both in vitro and in vivo conditions. The results revealed a significant inhibitory effect on the proliferation of the MCF-7 and Hela carcinoma cell lines treated with AuNPs with IC50 value of 13.4 ± 0.44 μg/mL and 13.8 ± 0.45 μg/mL for MCF-7 and Hela cells; respectively. Further, AuNPs showed potential inhibitory effect against tumor growth in tumor-bearing mice models. AuNPs significantly reduced the tumor volume, tumor weight, and decreased number of viable tumor cells in EAC bearing mice.https://doi.org/10.1038/s41598-023-39177-4 |
| spellingShingle | Noura El-Ahmady El-Naggar Nashwa H. Rabei Mohamed F. Elmansy Omar T. Elmessiry Mostafa K. El-Sherbeny Mohanad E. El-Saidy Mohamed T. Sarhan Manar G. Helal Artificial neural network approach for prediction of AuNPs biosynthesis by Streptomyces flavolimosus, characterization, antitumor potency in-vitro and in-vivo against Ehrlich ascites carcinoma Scientific Reports |
| title | Artificial neural network approach for prediction of AuNPs biosynthesis by Streptomyces flavolimosus, characterization, antitumor potency in-vitro and in-vivo against Ehrlich ascites carcinoma |
| title_full | Artificial neural network approach for prediction of AuNPs biosynthesis by Streptomyces flavolimosus, characterization, antitumor potency in-vitro and in-vivo against Ehrlich ascites carcinoma |
| title_fullStr | Artificial neural network approach for prediction of AuNPs biosynthesis by Streptomyces flavolimosus, characterization, antitumor potency in-vitro and in-vivo against Ehrlich ascites carcinoma |
| title_full_unstemmed | Artificial neural network approach for prediction of AuNPs biosynthesis by Streptomyces flavolimosus, characterization, antitumor potency in-vitro and in-vivo against Ehrlich ascites carcinoma |
| title_short | Artificial neural network approach for prediction of AuNPs biosynthesis by Streptomyces flavolimosus, characterization, antitumor potency in-vitro and in-vivo against Ehrlich ascites carcinoma |
| title_sort | artificial neural network approach for prediction of aunps biosynthesis by streptomyces flavolimosus characterization antitumor potency in vitro and in vivo against ehrlich ascites carcinoma |
| url | https://doi.org/10.1038/s41598-023-39177-4 |
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