Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilms

IntroductionSilver (Ag) nanoparticles (NPs) are well documented for their broad-spectrum bactericidal effects. This study aimed to test the effect of bioactive Ag-hydrosol NPs on drug-resistant E. faecium 1449 strain and explore the use of artificial intelligence (AI) for automated detection of the...

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Main Authors: Alya Limayem, Mausam Mehta, Natalie Kondos, Divya Kaushal, Farhat Binte Azam, Sriram Chellappan, Nan Qin, Qingyu Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2022.1095156/full
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author Alya Limayem
Alya Limayem
Mausam Mehta
Mausam Mehta
Natalie Kondos
Natalie Kondos
Divya Kaushal
Farhat Binte Azam
Sriram Chellappan
Nan Qin
Qingyu Zhou
author_facet Alya Limayem
Alya Limayem
Mausam Mehta
Mausam Mehta
Natalie Kondos
Natalie Kondos
Divya Kaushal
Farhat Binte Azam
Sriram Chellappan
Nan Qin
Qingyu Zhou
author_sort Alya Limayem
collection DOAJ
description IntroductionSilver (Ag) nanoparticles (NPs) are well documented for their broad-spectrum bactericidal effects. This study aimed to test the effect of bioactive Ag-hydrosol NPs on drug-resistant E. faecium 1449 strain and explore the use of artificial intelligence (AI) for automated detection of the bacteria.MethodsThe formation of E. faecium 1449 biofilms in the absence and presence of Ag-hydrosol NPs at different concentrations ranging from 12.4 mg/L to 123 mg/L was evaluated using a 3-dimentional culture system. The biofilm reduction was evaluated using the confocal microscopy in addition to the Transmission Electronic Microscopy (TEM) visualization and spectrofluorimetric quantification using a Biotek Synergy Neo2 microplate reader. The cytotoxicity of the NPs was evaluated in human nasal epithelial cells using the MTT assay. The AI technique based on Fast Regional Convolutional Neural Network architecture was used for the automated detection of the bacteria.ResultsTreatment with Ag-hydrosol NPs at concentrations ranging from 12.4 mg/L to 123 mg/L resulted in 78.09% to 95.20% of biofilm reduction. No statistically significant difference in biofilm reduction was found among different batches of Ag-hydrosol NPs. Quantitative concentration-response relationship analysis indicated that Ag-hydrosol NPs exhibited a relative high anti-biofilm activity and low cytotoxicity with an average EC50 and TC50 values of 0.0333 and 6.55 mg/L, respectively, yielding an average therapeutic index value of 197. The AI-assisted TEM image analysis allowed automated detection of E. faecium 1449 with 97% ~ 99% accuracy.DiscussionConclusively, the bioactive Ag-hydrosol NP is a promising nanotherapeutic agent against drug-resistant pathogens. The AI-assisted TEM image analysis was developed with the potential to assess its treatment effect.
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spelling doaj.art-14ea5908fa2747ee8111c600f47a63732023-01-11T06:19:00ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882023-01-011210.3389/fcimb.2022.10951561095156Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilmsAlya Limayem0Alya Limayem1Mausam Mehta2Mausam Mehta3Natalie Kondos4Natalie Kondos5Divya Kaushal6Farhat Binte Azam7Sriram Chellappan8Nan Qin9Qingyu Zhou10Department of Biology, College of Arts & Sciences, University of North Florida, Jacksonville, FL, United StatesDepartment of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United StatesDepartment of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United StatesMorsani College of Medicine, University of South Florida, Tampa, FL, United StatesDepartment of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United StatesMorsani College of Medicine, University of South Florida, Tampa, FL, United StatesDepartment of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United StatesDepartment of Computer Science & Engineering, College of Engineering, University of South Florida, Tampa, FL, United StatesDepartment of Computer Science & Engineering, College of Engineering, University of South Florida, Tampa, FL, United StatesDepartment of R&D and Analytical Services, Natural Immunogenics Corporation, Sarasota, FL, United StatesDepartment of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United StatesIntroductionSilver (Ag) nanoparticles (NPs) are well documented for their broad-spectrum bactericidal effects. This study aimed to test the effect of bioactive Ag-hydrosol NPs on drug-resistant E. faecium 1449 strain and explore the use of artificial intelligence (AI) for automated detection of the bacteria.MethodsThe formation of E. faecium 1449 biofilms in the absence and presence of Ag-hydrosol NPs at different concentrations ranging from 12.4 mg/L to 123 mg/L was evaluated using a 3-dimentional culture system. The biofilm reduction was evaluated using the confocal microscopy in addition to the Transmission Electronic Microscopy (TEM) visualization and spectrofluorimetric quantification using a Biotek Synergy Neo2 microplate reader. The cytotoxicity of the NPs was evaluated in human nasal epithelial cells using the MTT assay. The AI technique based on Fast Regional Convolutional Neural Network architecture was used for the automated detection of the bacteria.ResultsTreatment with Ag-hydrosol NPs at concentrations ranging from 12.4 mg/L to 123 mg/L resulted in 78.09% to 95.20% of biofilm reduction. No statistically significant difference in biofilm reduction was found among different batches of Ag-hydrosol NPs. Quantitative concentration-response relationship analysis indicated that Ag-hydrosol NPs exhibited a relative high anti-biofilm activity and low cytotoxicity with an average EC50 and TC50 values of 0.0333 and 6.55 mg/L, respectively, yielding an average therapeutic index value of 197. The AI-assisted TEM image analysis allowed automated detection of E. faecium 1449 with 97% ~ 99% accuracy.DiscussionConclusively, the bioactive Ag-hydrosol NP is a promising nanotherapeutic agent against drug-resistant pathogens. The AI-assisted TEM image analysis was developed with the potential to assess its treatment effect.https://www.frontiersin.org/articles/10.3389/fcimb.2022.1095156/fullmulti-drug resistanceE. faeciumbioactive silver hydrosol nanoparticlesbactericidal treatmentcytotoxicityartificial intelligence
spellingShingle Alya Limayem
Alya Limayem
Mausam Mehta
Mausam Mehta
Natalie Kondos
Natalie Kondos
Divya Kaushal
Farhat Binte Azam
Sriram Chellappan
Nan Qin
Qingyu Zhou
Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilms
Frontiers in Cellular and Infection Microbiology
multi-drug resistance
E. faecium
bioactive silver hydrosol nanoparticles
bactericidal treatment
cytotoxicity
artificial intelligence
title Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilms
title_full Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilms
title_fullStr Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilms
title_full_unstemmed Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilms
title_short Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilms
title_sort evaluation of bactericidal effects of silver hydrosol nanotherapeutics against enterococcus faecium 1449 drug resistant biofilms
topic multi-drug resistance
E. faecium
bioactive silver hydrosol nanoparticles
bactericidal treatment
cytotoxicity
artificial intelligence
url https://www.frontiersin.org/articles/10.3389/fcimb.2022.1095156/full
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