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Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients
Bacterial biofilm plays a pivotal role in chronic Staphylococcus aureus (S. aureus) infection and its inhibition may represent an important strategy to develop novel therapeutic agents. The scientific community is continuously searching for natural and “green alternatives” to chemotherapeutic drugs,...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730550/ https://www.ncbi.nlm.nih.gov/pubmed/33291608 http://dx.doi.org/10.3390/ijms21239258 |
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author | Papa, Rosanna Garzoli, Stefania Vrenna, Gianluca Sabatino, Manuela Sapienza, Filippo Relucenti, Michela Donfrancesco, Orlando Fiscarelli, Ersilia Vita Artini, Marco Selan, Laura Ragno, Rino |
author_facet | Papa, Rosanna Garzoli, Stefania Vrenna, Gianluca Sabatino, Manuela Sapienza, Filippo Relucenti, Michela Donfrancesco, Orlando Fiscarelli, Ersilia Vita Artini, Marco Selan, Laura Ragno, Rino |
author_sort | Papa, Rosanna |
collection | PubMed |
description | Bacterial biofilm plays a pivotal role in chronic Staphylococcus aureus (S. aureus) infection and its inhibition may represent an important strategy to develop novel therapeutic agents. The scientific community is continuously searching for natural and “green alternatives” to chemotherapeutic drugs, including essential oils (EOs), assuming the latter not able to select resistant strains, likely due to their multicomponent nature and, hence, multitarget action. Here it is reported the biofilm production modulation exerted by 61 EOs, also investigated for their antibacterial activity on S. aureus strains, including reference and cystic fibrosis patients’ isolated strains. The EOs biofilm modulation was assessed by Christensen method on five S. aureus strains. Chemical composition, investigated by GC/MS analysis, of the tested EOs allowed a correlation between biofilm modulation potency and putative active components by means of machine learning algorithms application. Some EOs inhibited biofilm growth at 1.00% concentration, although lower concentrations revealed different biological profile. Experimental data led to select antibiofilm EOs based on their ability to inhibit S. aureus biofilm growth, which were characterized for their ability to alter the biofilm organization by means of SEM studies. |
format | Online Article Text |
id | pubmed-7730550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77305502020-12-12 Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients Papa, Rosanna Garzoli, Stefania Vrenna, Gianluca Sabatino, Manuela Sapienza, Filippo Relucenti, Michela Donfrancesco, Orlando Fiscarelli, Ersilia Vita Artini, Marco Selan, Laura Ragno, Rino Int J Mol Sci Article Bacterial biofilm plays a pivotal role in chronic Staphylococcus aureus (S. aureus) infection and its inhibition may represent an important strategy to develop novel therapeutic agents. The scientific community is continuously searching for natural and “green alternatives” to chemotherapeutic drugs, including essential oils (EOs), assuming the latter not able to select resistant strains, likely due to their multicomponent nature and, hence, multitarget action. Here it is reported the biofilm production modulation exerted by 61 EOs, also investigated for their antibacterial activity on S. aureus strains, including reference and cystic fibrosis patients’ isolated strains. The EOs biofilm modulation was assessed by Christensen method on five S. aureus strains. Chemical composition, investigated by GC/MS analysis, of the tested EOs allowed a correlation between biofilm modulation potency and putative active components by means of machine learning algorithms application. Some EOs inhibited biofilm growth at 1.00% concentration, although lower concentrations revealed different biological profile. Experimental data led to select antibiofilm EOs based on their ability to inhibit S. aureus biofilm growth, which were characterized for their ability to alter the biofilm organization by means of SEM studies. MDPI 2020-12-04 /pmc/articles/PMC7730550/ /pubmed/33291608 http://dx.doi.org/10.3390/ijms21239258 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Papa, Rosanna Garzoli, Stefania Vrenna, Gianluca Sabatino, Manuela Sapienza, Filippo Relucenti, Michela Donfrancesco, Orlando Fiscarelli, Ersilia Vita Artini, Marco Selan, Laura Ragno, Rino Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients |
title | Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients |
title_full | Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients |
title_fullStr | Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients |
title_full_unstemmed | Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients |
title_short | Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis. Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients |
title_sort | essential oils biofilm modulation activity, chemical and machine learning analysis. application on staphylococcus aureus isolates from cystic fibrosis patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730550/ https://www.ncbi.nlm.nih.gov/pubmed/33291608 http://dx.doi.org/10.3390/ijms21239258 |
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