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Detection and Categorization of Biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli Isolated from Complete Denture Patients and Visualization Using Scanning Electron Microscopy

AIMS: Complete denture patients have a plethora of microorganisms inhabiting their complete dentures. Some bacteria are capable of causing systemic illness such as aspiration pneumonia and infective endocarditis. Hence, detection as well as the categorization of biofilms, which form on the denture s...

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Autores principales: Leoney, Andonissamy, Karthigeyan, Suma, Asharaf, Ali Seyed, Felix, A J W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685283/
https://www.ncbi.nlm.nih.gov/pubmed/33282773
http://dx.doi.org/10.4103/jispcd.JISPCD_256_20
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author Leoney, Andonissamy
Karthigeyan, Suma
Asharaf, Ali Seyed
Felix, A J W
author_facet Leoney, Andonissamy
Karthigeyan, Suma
Asharaf, Ali Seyed
Felix, A J W
author_sort Leoney, Andonissamy
collection PubMed
description AIMS: Complete denture patients have a plethora of microorganisms inhabiting their complete dentures. Some bacteria are capable of causing systemic illness such as aspiration pneumonia and infective endocarditis. Hence, detection as well as the categorization of biofilms, which form on the denture surface is vital in the study of denture biofilm-associated local and systemic diseases. This study aimed at the detection and categorization of biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli isolated from complete dentures and visualization of biofilms using scanning electron microscopy (SEM). MATERIALS AND METHODS: Thirty complete denture patients were selected for the study and swabs were collected from their complete denture surfaces. Isolation of the bacteria was done using selective media and confirmed using biochemical tests and 16SrRNA sequencing. The bacteria were subjected to biofilm assays via Microtiter plate assay. The biofilm-forming bacteria were categorized as weak, moderate, and strong biofilm formers based on optical density (OD) values. As a visual confirmation of the biofilms, scanning electron microscopic (SEM) images were taken for each of the strong biofilm-forming bacteria. Descriptive statistical analysis was carried out with the help of Statistical Package for the Social Sciences (SPSS) statistical package version 20.0. RESULTS: The average OD of S. aureus was 1. 333±0. 015 and the average OD of V. streptococcus species was 1. 304 ± 0.023. The average OD value of K. pneumoniae was 0.8 ± 0.012 and the average value of E. coli was 1.014 ± 0.01. CONCLUSIONS: The study of biofilms especially the strongly biofilm formers is very useful to understand the potential pathogenic effect of biofilms. These biofilms cause the systemic spread of the planktonic bacteria which could lead to systemic diseases that are resistant to conventional treatment. This could be due to the inherent nature of the biofilm to offer drug resistance to existing antibacterial agents.
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spelling pubmed-76852832020-12-03 Detection and Categorization of Biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli Isolated from Complete Denture Patients and Visualization Using Scanning Electron Microscopy Leoney, Andonissamy Karthigeyan, Suma Asharaf, Ali Seyed Felix, A J W J Int Soc Prev Community Dent Original Article AIMS: Complete denture patients have a plethora of microorganisms inhabiting their complete dentures. Some bacteria are capable of causing systemic illness such as aspiration pneumonia and infective endocarditis. Hence, detection as well as the categorization of biofilms, which form on the denture surface is vital in the study of denture biofilm-associated local and systemic diseases. This study aimed at the detection and categorization of biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli isolated from complete dentures and visualization of biofilms using scanning electron microscopy (SEM). MATERIALS AND METHODS: Thirty complete denture patients were selected for the study and swabs were collected from their complete denture surfaces. Isolation of the bacteria was done using selective media and confirmed using biochemical tests and 16SrRNA sequencing. The bacteria were subjected to biofilm assays via Microtiter plate assay. The biofilm-forming bacteria were categorized as weak, moderate, and strong biofilm formers based on optical density (OD) values. As a visual confirmation of the biofilms, scanning electron microscopic (SEM) images were taken for each of the strong biofilm-forming bacteria. Descriptive statistical analysis was carried out with the help of Statistical Package for the Social Sciences (SPSS) statistical package version 20.0. RESULTS: The average OD of S. aureus was 1. 333±0. 015 and the average OD of V. streptococcus species was 1. 304 ± 0.023. The average OD value of K. pneumoniae was 0.8 ± 0.012 and the average value of E. coli was 1.014 ± 0.01. CONCLUSIONS: The study of biofilms especially the strongly biofilm formers is very useful to understand the potential pathogenic effect of biofilms. These biofilms cause the systemic spread of the planktonic bacteria which could lead to systemic diseases that are resistant to conventional treatment. This could be due to the inherent nature of the biofilm to offer drug resistance to existing antibacterial agents. Wolters Kluwer - Medknow 2020-09-28 /pmc/articles/PMC7685283/ /pubmed/33282773 http://dx.doi.org/10.4103/jispcd.JISPCD_256_20 Text en Copyright: © 2020 Journal of International Society of Preventive and Community Dentistry http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Leoney, Andonissamy
Karthigeyan, Suma
Asharaf, Ali Seyed
Felix, A J W
Detection and Categorization of Biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli Isolated from Complete Denture Patients and Visualization Using Scanning Electron Microscopy
title Detection and Categorization of Biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli Isolated from Complete Denture Patients and Visualization Using Scanning Electron Microscopy
title_full Detection and Categorization of Biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli Isolated from Complete Denture Patients and Visualization Using Scanning Electron Microscopy
title_fullStr Detection and Categorization of Biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli Isolated from Complete Denture Patients and Visualization Using Scanning Electron Microscopy
title_full_unstemmed Detection and Categorization of Biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli Isolated from Complete Denture Patients and Visualization Using Scanning Electron Microscopy
title_short Detection and Categorization of Biofilm-forming Staphylococcus aureus, Viridans streptococcus, Klebsiella pneumoniae, and Escherichia coli Isolated from Complete Denture Patients and Visualization Using Scanning Electron Microscopy
title_sort detection and categorization of biofilm-forming staphylococcus aureus, viridans streptococcus, klebsiella pneumoniae, and escherichia coli isolated from complete denture patients and visualization using scanning electron microscopy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685283/
https://www.ncbi.nlm.nih.gov/pubmed/33282773
http://dx.doi.org/10.4103/jispcd.JISPCD_256_20
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