Cargando…

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,...

Descripción completa

Detalles Bibliográficos
Autores principales: Papa, Rosanna, Garzoli, Stefania, Vrenna, Gianluca, Sabatino, Manuela, Sapienza, Filippo, Relucenti, Michela, Donfrancesco, Orlando, Fiscarelli, Ersilia Vita, Artini, Marco, Selan, Laura, Ragno, Rino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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
_version_ 1783621709417414656
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
work_keys_str_mv AT paparosanna essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT garzolistefania essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT vrennagianluca essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT sabatinomanuela essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT sapienzafilippo essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT relucentimichela essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT donfrancescoorlando essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT fiscarelliersiliavita essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT artinimarco essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT selanlaura essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients
AT ragnorino essentialoilsbiofilmmodulationactivitychemicalandmachinelearninganalysisapplicationonstaphylococcusaureusisolatesfromcysticfibrosispatients