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Postepy Hig Med Dosw (Online). 2015 Sep 20;69:1042-55.

[Disinfectants - bacterial cells interactions in the view of hygiene and public health].

[Article in Polish]

Author information

1
Zakład Mikrobiologii, Instytut Genetyki i Mikrobiologii, Uniwersytet Wrocławski.
2
Instytut Immunologii i Terapii Doświadczalnej PAN im. Ludwika Hirszfelda, we Wrocławiu.

Abstract

In recent years, the use of biocides has increased rapidly. One common example is triclosan, with wide application in households as well as medical and industrial fields, especially food industry and animal husbandry. Chemical disinfection is a major mean to control and eliminate pathogenic bacteria, particularly those with multidrug resistance (MDR) phenotype. However, exposition to biocides results in an adaptive response in microorganisms, causing them to display a wide range of resistance mechanisms. Numerous microorganisms are characterized by either natural resistance to chemical compounds or an ability to adapt to biocides using various strategies, such as: modification of cell surface structures (lipopolisaccharide), membrane fatty acids), over-expression of efflux pumps (a system for active transport of toxic compounds out of bacterial cell), enzymatic inactivation of biocides or altering biocide targets. For instance, it was shown that in vitro exposition of Salmonella Typhimurium to subinhibitory concentration of biocides (triclosan, quaternary ammonium compounds [QACs]) resulted in selection of variants resistant to tested biocides and, additionally, to acridine dyes and antibiotics. Bacillus subtilis and Micrococcus luteus strains isolated from chlorine dioxide containing disinfection devices were found to be resistant to chlorine dioxide and also to other oxidizing compounds, such as peracetic acid and hydrogen peroxide. Interaction between chemical compounds, including disinfectants and microbial cells, can create a serious threat to public health and sanitary-hygienic security. This phenomenon is connected with factor risk that intensify the probability of selection and dissemination of multidrug resistance among pathogenic bacteria.

PMID:
26400890
[Indexed for MEDLINE]
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