Next generation microbiological risk assessment—Potential of omics data for hazard characterisation

• Published in: International journal of food microbiology Vol. 287; pp. 28 - 39
• Main Authors: Haddad, Nabila, Johnson, Nick, Kathariou, Sophia, Métris, Aline, Phister, Trevor, Pielaat, Annemarie, Tassou, Chrysoula, Wells-Bennik, Marjon H.J., Zwietering, Marcel H.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 20.12.2018; Elsevier BV; Elsevier
• Subjects: Biomarkers; Computational Biology; data collection; disease severity; Dose-response; food chain; Food chains; Food contamination; Food contamination & poisoning; Food Microbiology - standards; Food Microbiology - trends; Food safety; Functional genomics; genes; Genomics; Government policy; hazard characterization; Hazard identification; Hazards; Health hazards; Health risks; Humans; Identification methods; issues and policy; Life Sciences; messenger RNA; Metabolomics; microbiological risk assessment; Microbiota - genetics; Microorganisms; MicroRNAs; monitoring; Pathogenicity; Pathogens; protein content; Proteins; Proteomics; Public health; Public policy; Quantitative transcriptomics and proteomics; Regulatory agencies; Reproducibility; risk; Risk analysis; Risk Assessment; stakeholders; Strains (organisms); Systems Biology; Toxins; transcriptomics; Uncertainty; Variability; Virulence; World Health Organization; Pathogenicity; Virulence; Dose-response; Food safety; Quantitative transcriptomics and proteomics; Risk analysis; Functional genomics; Public health

According to the World Health Organization estimates in 2015, 600 million people fall ill every year from contaminated food and 420,000 die. Microbial risk assessment (MRA) was developed as a tool to reduce and prevent risks presented by pathogens and/or their toxins. MRA is organized in four steps...