Tackling Foodborne Illnesses with New Approaches

Application

Goodridge’s research is being applied to improve food safety by developing novel probiotics and prebiotics to combat harmful foodborne pathogens, such as Listeria monocytogenes, and enhance disease control strategies. By using machine learning and bioinformatics, the project also helps improve rapid pathogen detection and outbreak response, ultimately benefiting public health and food systems across Canada.

Challenge

Foodborne illnesses pose a significant challenge for Canada and the rest of the world. In Canada, there are an estimated 4 million cases annually that lead to an annual cost of over 5 billion dollars. These cases burden public health care systems and lead to high rates of severe illness and even death. Even when not life-threatening, foodborne diseases can leave behind long-term health complications. Foodborne illnesses affect both national public health and Canada’s food systems, as diseases spread through several vectors along the supply chain. Despite the prevalence of these pathogenic diseases, we still understand little of the ecology and behavior of many of the well-known pathogens. Understanding how the pathogens interact with environmental stressors and host environments is essential for developing effective strategies to better manage foodborne illnesses and prevent outbreaks.

Did You Know?

We still have much to learn about controlling foodborne illnesses and their impact is clearly felt in Canada. Each year, an estimated 4 million cases occur, resulting in approximately 5 billion dollars in losses and treatment costs.

Research

With experts in the fields of food safety, microbiology, and bioinformatics, Dr. Lawrence Goodridge aimed to combat human illness caused by foodborne pathogens in Canada. The team developed new strategies to control foodborne pathogens, including the identification of new compounds and probiotics to turn off or inhibit virulence genes in pathogens. The team also examined internal and external factors that contribute to the ability of pathogens to thrive in the human gastrointestinal tract and cause human disease and characterized the interactions between such pathogens and the gut microbiome within the gastrointestinal tract. The project targeted several pervasive and economically important pathogens that affect plants, livestock, and humans – including Listeria monocytogenes, Cronobacter sakazakii, Clostridium botulinum, H9N2 avian influenza, Pseudomonas syringae, Salmonella enterica, and Coronavirus 2.

Results

This Food from Thought project explored the interactions between foodborne pathogens, potential inhibitors, and the gut microbiome to develop novel probiotics and prebiotics that could effectively fight common foodborne pathogens. Goodridge’s team tested natural substances to see if they could reduce the expression of Listeria monocytogenes, a harmful bacterium. Several different sources were examined, including flavonoid compounds (phytonutrients found in fruits and vegetables), bacteria from fruit microbiota, fermented whey, and bacterial endophytes. These substances are all derived from natural sources and contain antioxidants or antimicrobial properties, some of which have shown to be effective in directly combatting L. monocytogenes. To study their effects, the researchers used a SHIME simulator that mimics the human gut microbiome, allowing them to observe how these treatments influenced pathogen gene expression in a simulated gut environment.

Goodridge’s team also examined the potential of machine learning and big data techniques to improve food safety across the supply chain. The team demonstrated how machine learning can enhance pathogen control and outbreak response through rapid detection, accurate classification, and efficient monitoring of food safety parameters. Additionally, they applied machine learning to metagenomic and genomic research, whether using whole-genome sequencing to trace the sources of outbreak or identify virulent strains in wastewater samples.

Impact

Goodridge’s project generated several important insights on the factors that influence pathogens, particularly those transmitted through the foods we consume, paving the way for future studies. The project advanced novel approaches to tackling these diseases, ranging from beneficial bacteria and natural compounds to disease surveillance using metagenomic analysis and machine learning. Foodborne pathogens are of particular concern as rates of transmission continue to spread with increased globalization and climate change. As Canada continues to cultivate and export domestic food products, addressing foodborne illnesses with new innovative techniques like these is crucial for both economic resilience and public health.

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Gemmell, C. T., Parreira, V. R., & Farber, J. M. (2022). Controlling Listeria monocytogenes Growth and Biofilm Formation Using Flavonoids. Journal of Food Protection, 85(4), 639–646. https://doi.org/10.4315/JFP-21-135

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Ke, A., Parreira, V. R., Farber, J. M., & Goodridge, L. (2022a). Inhibition of Cronobacter sakazakii in an infant simulator of the human intestinal microbial ecosystem using a potential synbiotic. Frontiers in Microbiology, 13, 947624. https://doi.org/10.3389/fmicb.2022.947624

Ke, A., Parreira, V. R., Farber, J. M., & Goodridge, L. (2022b). Inhibition of Cronobacter sakazakii in an infant simulator of the human intestinal microbial ecosystem using a potential synbiotic. Frontiers in Microbiology, 13, 947624. https://doi.org/10.3389/fmicb.2022.947624

Ke, A., Parreira, V. R., Farber, J. M., & Goodridge, L. (2022c). Selection of a Potential Synbiotic against Cronobacter sakazakii. Journal of Food Protection, 85(9), 1240–1248. https://doi.org/10.4315/JFP-22-048

Ke, A., Parreira, V. R., Farber, J. M., & Goodridge, L. (2022d). Selection of a Potential Synbiotic against Cronobacter sakazakii. Journal of Food Protection, 85(9), 1240–1248. https://doi.org/10.4315/JFP-22-048

Ke, A., Parreira, V. R., Goodridge, L., & Farber, J. M. (2021a). Current and Future Perspectives on the Role of Probiotics, Prebiotics, and Synbiotics in Controlling Pathogenic Cronobacter Spp. In Infants. Frontiers in Microbiology, 12, 755083. https://doi.org/10.3389/fmicb.2021.755083

Ke, A., Parreira, V. R., Goodridge, L., & Farber, J. M. (2021b). Current and Future Perspectives on the Role of Probiotics, Prebiotics, and Synbiotics in Controlling Pathogenic Cronobacter Spp. In Infants. Frontiers in Microbiology, 12, 755083. https://doi.org/10.3389/fmicb.2021.755083

Kireina, D., Parreira, V. R., Goodridge, L., & Farber, J. M. (2024a). Survival and Expression of rpoS and grxB of Cronobacter sakazakii in Powdered Infant Formula Under Simulated Gastric Conditions of Newborns. Journal of Food Protection, 87(5), 100269. https://doi.org/10.1016/j.jfp.2024.100269

Kireina, D., Parreira, V. R., Goodridge, L., & Farber, J. M. (2024b). Survival and Expression of rpoS and grxB of Cronobacter sakazakii in Powdered Infant Formula Under Simulated Gastric Conditions of Newborns. Journal of Food Protection, 87(5), 100269. https://doi.org/10.1016/j.jfp.2024.100269

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Li, G. (n.d.). Effect of whey protein fermentation and hydrolysis on Listeria monocytogenes virulence gene expression in the presence of the gut microbiota modelled in the Simulator of the Human Intestinal Microbial Ecosystem.

May, N. C. (n.d.). Investigating the Plasmid Uptake of Salmonella enterica in the Presence of Gastrointestinal Stressors.

Parreira, V. R., & Farber, J. M. (2023). The Role of Policy and Regulations in the Adoption of Big Data Technologies in Food Safety and Quality. In J. Farber, R. Dara, & J. Ronholm (Eds.), Harnessing Big Data in Food Safety (pp. 151–160). Springer International Publishing. https://doi.org/10.1007/978-3-031-07179-9_9

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