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

被引:11
作者
Caioni, Giulia [1 ]
Benedetti, Elisabetta [1 ]
Perugini, Monia [2 ]
Amorena, Michele [2 ]
Merola, Carmine [2 ]
机构
[1] Univ LAquila, Dept Life Hlth & Environm Sci, I-67100 Laquila, Italy
[2] Univ Teramo, Dept Biosci & Technol Food Agr & Environm, Via Balzarini 1, I-64100 Teramo, Italy
来源
ANTIBIOTICS-BASEL | 2023年 / 12卷 / 04期
关键词
antimicrobial resistance; personal care products; additives; parabens; triclosan; triclocarban; zebrafish; artificial intelligence; machine learning; ANTIBIOTIC-RESISTANCE; WASTE-WATER; PSEUDOMONAS-AERUGINOSA; TRICLOSAN RESISTANCE; SAFETY ASSESSMENT; CROSS-RESISTANCE; PARABENS; TRICLOCARBAN; EXPOSURE; EFFLUX;
D O I
10.3390/antibiotics12040724
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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.
引用
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页数:12
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