Literature DB >> 35737147

Bacterial Pathogens in Food: Modern Safety Criteria and Methods of Molecular Genetic Analysis.

N R Efimochkina1.   

Abstract

The review is devoted to the issues of improving the food biosafety system by developing and implementing modern methods of microbiological and molecular genetic analysis and new safety standards for the main groups of food products. The results of fundamental and applied microbiological research in the field of food safety conducted by the Federal Research Center for Nutrition and Biotechnology are presented. We demonstrated the necessity of a detailed study of the ecology and features of survival of new types of pathogenic microorganisms and evaluation of the role of technological factors in the formation of altered properties of these pathogens in food production environment. It is noted that the most effective basis for establishing criteria for biosafety of food products is the use of a structural model of microbiological risk analysis (MRA), which implies assessment and integration of risks throughout the food chain and step-by-step study of microbial hazards, predicts the degree of danger to the health of certain foods contaminated by them and the risk and severity of adverse effects. Consideration of the variability of pathogens and the ability of MRA to forecast allows rationalizing resources in the most relevant areas when developing measures to protect the population. It is shown how, as a result of studying the biology of pathogenic bacteria of the genera Campylobacter, Salmonella, Cronobacter, and Listeria and mechanisms for regulating the expression of pathogenicity and resistance factors of these pathogens, improved schemes and modified methods have been developed over a number of years, allowing accelerated indication of pathogens in food products using combined schemes of bacteriological and molecular genetic analysis based on the selection of the most informative biochemical and immunological tests, and their genotyping. Accumulated scientific data in the field of biosafety indicate the need for further research in the prediction of the pathogen behavior in food, studying the mechanisms of regulation of the expression of pathogenicity genes in food-borne pathogens, the transmission of antibiotic resistance genes, and studying the interaction of the human with pathogens to calculate the biological response to microbial agents coming from food.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  bacterial pathogens; food products; infections; microbiological safety

Mesh:

Year:  2022        PMID: 35737147     DOI: 10.1007/s10517-022-05514-2

Source DB:  PubMed          Journal:  Bull Exp Biol Med        ISSN: 0007-4888            Impact factor:   0.804


  13 in total

1.  Prevalence of Campylobacter, Arcobacter, Helicobacter, and Sutterella spp. in human fecal samples as estimated by a reevaluation of isolation methods for Campylobacters.

Authors:  J Engberg; S L On; C S Harrington; P Gerner-Smidt
Journal:  J Clin Microbiol       Date:  2000-01       Impact factor: 5.948

2.  Peculiarities of Biofilms Formation by Campylobacter Bacteria in Mixed Populations with Other Microbial Contaminants of Food Products.

Authors:  N R Efimochkina; V V Stetsenko; S A Sheveleva
Journal:  Bull Exp Biol Med       Date:  2019-11-20       Impact factor: 0.804

3.  Formation of Biofilms by Foodborne Pathogens and Development of Laboratory In Vitro Model for the Study of Campylobacter Genus Bacteria Based on These Biofilms.

Authors:  N R Efimochkina; I B Bykova; Yu M Markova; Yu V Korotkevich; V V Stetsenko; L P Minaeva; S A Sheveleva
Journal:  Bull Exp Biol Med       Date:  2017-02-27       Impact factor: 0.804

4.  Studying the Phenotypic and Genotypic Expression of Antibiotic Resistance in Campylobacter jejuni under Stress Conditions.

Authors:  N R Efimochkina; V V Stetsenko; I V Bykova; Yu M Markova; A S Polyanina; A I Aleshkina; S A Sheveleva
Journal:  Bull Exp Biol Med       Date:  2018-03-05       Impact factor: 0.804

5.  Unique features of a highly pathogenic Campylobacter jejuni strain.

Authors:  Dirk Hofreuter; Jennifer Tsai; Robert O Watson; Veronica Novik; Bill Altman; Michelle Benitez; Christina Clark; Clotilde Perbost; Thomas Jarvie; Lei Du; Jorge E Galán
Journal:  Infect Immun       Date:  2006-08       Impact factor: 3.441

Review 6.  Enterobacter sakazakii: a coliform of increased concern to infant health.

Authors:  Joshua B Gurtler; Jeffrey L Kornacki; Larry R Beuchat
Journal:  Int J Food Microbiol       Date:  2005-09-25       Impact factor: 5.277

7.  In Vitro Culturing and Storage of Campylobacter Genus Bacteria.

Authors:  N R Efimochkina; V V Stetsenko; I B Bykova; A S Polyanina; A S Aleshkina; S A Sheveleva
Journal:  Bull Exp Biol Med       Date:  2017-11-09       Impact factor: 0.804

8.  Cronobacter gen. nov., a new genus to accommodate the biogroups of Enterobacter sakazakii, and proposal of Cronobacter sakazakii gen. nov., comb. nov., Cronobacter malonaticus sp. nov., Cronobacter turicensis sp. nov., Cronobacter muytjensii sp. nov., Cronobacter dublinensis sp. nov., Cronobacter genomospecies 1, and of three subspecies, Cronobacter dublinensis subsp. dublinensis subsp. nov., Cronobacter dublinensis subsp. lausannensis subsp. nov. and Cronobacter dublinensis subsp. lactaridi subsp. nov.

Authors:  Carol Iversen; Niall Mullane; Barbara McCardell; Ben D Tall; Angelika Lehner; Séamus Fanning; Roger Stephan; Han Joosten
Journal:  Int J Syst Evol Microbiol       Date:  2008-06       Impact factor: 2.747

Review 9.  Campylobacters as zoonotic pathogens: a food production perspective.

Authors:  Tom Humphrey; Sarah O'Brien; Mogens Madsen
Journal:  Int J Food Microbiol       Date:  2007-02-07       Impact factor: 5.277

10.  Identification of Enterobacter sakazakii from closely related species: the use of artificial neural networks in the analysis of biochemical and 16S rDNA data.

Authors:  Carol Iversen; Lee Lancashire; Michael Waddington; Stephen Forsythe; Graham Ball
Journal:  BMC Microbiol       Date:  2006-03-13       Impact factor: 3.605

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