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Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation

Antimicrobial resistance (AMR) is one of the world’s industrialized nations’ biggest issues. It has a significant influence on the ecosystem and negatively affects human health. The overuse of antibiotics in the healthcare and agri-food industries has historically been defined as a leading factor, a...

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Autores principales: Caioni, Giulia, Benedetti, Elisabetta, Perugini, Monia, Amorena, Michele, Merola, Carmine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135053/
https://www.ncbi.nlm.nih.gov/pubmed/37107085
http://dx.doi.org/10.3390/antibiotics12040724
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author Caioni, Giulia
Benedetti, Elisabetta
Perugini, Monia
Amorena, Michele
Merola, Carmine
author_facet Caioni, Giulia
Benedetti, Elisabetta
Perugini, Monia
Amorena, Michele
Merola, Carmine
author_sort Caioni, Giulia
collection PubMed
description Antimicrobial resistance (AMR) is one of the world’s industrialized nations’ biggest issues. It has a significant influence on the ecosystem and negatively affects human health. The overuse of antibiotics in the healthcare and agri-food industries has historically been defined as a leading factor, although the use of antimicrobial-containing personal care products plays a significant role in the spread of AMR. Lotions, creams, shampoos, soaps, shower gels, toothpaste, fragrances, and other items are used for everyday grooming and hygiene. However, in addition to the primary ingredients, additives are included to help preserve the product by lowering its microbial load and provide disinfection properties. These same substances are released into the environment, escaping traditional wastewater treatment methods and remaining in ecosystems where they contact microbial communities and promote the spread of resistance. The study of antimicrobial compounds, which are often solely researched from a toxicological point of view, must be resumed considering the recent discoveries, to highlight their contribution to AMR. Parabens, triclocarban, and triclosan are among the most worrying chemicals. To investigate this issue, more effective models must be chosen. Among them, zebrafish is a crucial study system because it allows for the assessment of both the risks associated with exposure to these substances as well as environmental monitoring. Furthermore, artificial intelligence-based computer systems are useful in simplifying the handling of antibiotic resistance data and speeding up drug discovery processes.
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spelling pubmed-101350532023-04-28 Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation Caioni, Giulia Benedetti, Elisabetta Perugini, Monia Amorena, Michele Merola, Carmine Antibiotics (Basel) Review Antimicrobial resistance (AMR) is one of the world’s industrialized nations’ biggest issues. It has a significant influence on the ecosystem and negatively affects human health. The overuse of antibiotics in the healthcare and agri-food industries has historically been defined as a leading factor, although the use of antimicrobial-containing personal care products plays a significant role in the spread of AMR. Lotions, creams, shampoos, soaps, shower gels, toothpaste, fragrances, and other items are used for everyday grooming and hygiene. However, in addition to the primary ingredients, additives are included to help preserve the product by lowering its microbial load and provide disinfection properties. These same substances are released into the environment, escaping traditional wastewater treatment methods and remaining in ecosystems where they contact microbial communities and promote the spread of resistance. The study of antimicrobial compounds, which are often solely researched from a toxicological point of view, must be resumed considering the recent discoveries, to highlight their contribution to AMR. Parabens, triclocarban, and triclosan are among the most worrying chemicals. To investigate this issue, more effective models must be chosen. Among them, zebrafish is a crucial study system because it allows for the assessment of both the risks associated with exposure to these substances as well as environmental monitoring. Furthermore, artificial intelligence-based computer systems are useful in simplifying the handling of antibiotic resistance data and speeding up drug discovery processes. MDPI 2023-04-07 /pmc/articles/PMC10135053/ /pubmed/37107085 http://dx.doi.org/10.3390/antibiotics12040724 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Caioni, Giulia
Benedetti, Elisabetta
Perugini, Monia
Amorena, Michele
Merola, Carmine
Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation
title Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation
title_full Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation
title_fullStr Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation
title_full_unstemmed Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation
title_short Personal Care Products as a Contributing Factor to Antimicrobial Resistance: Current State and Novel Approach to Investigation
title_sort personal care products as a contributing factor to antimicrobial resistance: current state and novel approach to investigation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135053/
https://www.ncbi.nlm.nih.gov/pubmed/37107085
http://dx.doi.org/10.3390/antibiotics12040724
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