Literature DB >> 32198092

Molecular characterization of virulence and drug resistance genes-producing Escherichia coli isolated from chicken meat: Metal oxide nanoparticles as novel antibacterial agents.

Sameh S Ali1, Fatma I Sonbol2, Jianzhong Sun3, Mohamed A Hussein4, Abd-Elsalam E Hafez4, Esraa A Abdelkarim4, Michael Kornaros5, Asmaa Ali6, Maha Azab7.   

Abstract

Escherichia coli is a major global foodborne pathogen, infecting a wide range of animals and contaminating their meat products. E. coli, can lead to high morbidity and mortality with a huge economic loss especially if foodborne diseases are associated with multidrug resistant (MDR)- and multivirulent-producing pathogens. Due to the increased resistance to common antimicrobials used to treat livestock animals and human infections, the discovery of new and innovative nanomaterials are in high demand. Recently, metal oxides can be considered as effective inorganic agents with antimicrobial features. Hence, this study might be the first to evaluate the efficiency of metal oxide nanoparticles (MO-NPs) as novel antibacterial agents against MDR/multivirulent E. coli pathogens isolated from chicken meat. The occurrence of pathogenic E. coli was determined in fresh warm chicken meat parts (breast, thigh, liver and gizzard). Ninety-one of 132 (69%) chicken meat parts were Escherichia -positive with E. coli as the only species isolated. Out of identified 240 E. coli strains, 72.5% (174/240) were classified as MDR E. coli strains. Fifty-five profile patterns were obtained. From each pattern, one strain was randomly selected for further analysis of virulence and resistance genes. Extracted DNA was assessed for the presence of antibiotic resistance genes (blaIMP-7, blaIMP-25, blaTEM, blaSHV, blaOXA-2, tetA, aadA, and aac(3)-IV) and virulence genes (stx1, stx2, hlyA, eaeA, aggR, eltB, estIb, papA, afa and hlyD). Clustering analyses revealed that 10 E. coli harboring the highest number of virulence and resistance genes were shifted together into one cluster designated as cluster X. The average activities of zinc peroxide nanoparticles (ZnO2-NPs) were higher than that of zinc oxide nanoparticles (ZnO-NPs) and titanium dioxide nanoparticles (TiO2-NPs) by 20% and 29%, respectively. The anti-inflammatory activity of ZnO2-NPs in comparison with aspirin was assessed using membrane stabilization, albumin denaturation, and proteinase inhibition methods. Significant anti-inflammatory activity of ZnO2-NPs was achieved at concentration levels of 500-1000 μg/ml. It seems that MO-NPs are effective alternative agents, since they exhibited a competitive antibacterial capability against MDR/multivirulent-producing E. coli pathogens isolated from chicken meat. Hence, ZnO2-NPs are a promising nanoparticles-based material for controlling foodborne pathogens, thereby valued for food safety applications.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  E. coli; Foodborne diseases; Metal oxide nanoparticles; Multidrug resistance; Virulence factor

Year:  2020        PMID: 32198092     DOI: 10.1016/j.micpath.2020.104164

Source DB:  PubMed          Journal:  Microb Pathog        ISSN: 0882-4010            Impact factor:   3.738


  3 in total

1.  Exploring the therapeutic potential of acetonic plant extracts in the healing of skin wounds infected with multidrug resistant pathogens.

Authors:  Maha A Khalil; Eman H F Abd El-Zaher; Olaa Abd El-Salam; Sameh S Ali
Journal:  J Appl Biomed       Date:  2022-06-06       Impact factor: 0.500

Review 2.  Importance of Zinc Nanoparticles for the Intestinal Microbiome of Weaned Piglets.

Authors:  Daria Baholet; Sylvie Skalickova; Andrej Batik; Svetlana Malyugina; Jiri Skladanka; Pavel Horky
Journal:  Front Vet Sci       Date:  2022-06-02

3.  Sink survey to investigate multidrug resistance pattern of common foodborne bacteria from wholesale chicken markets in Dhaka city of Bangladesh.

Authors:  Mst Sonia Parvin; Md Yamin Ali; Amit Kumar Mandal; Sudipta Talukder; Md Taohidul Islam
Journal:  Sci Rep       Date:  2022-06-25       Impact factor: 4.996

  3 in total

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