Researchers have discovered that wastewater monitoring can effectively detect foodborne illnesses, providing a valuable tool for public health surveillance.
Wastewater surveillance, a method originally used to track polio in the 1940s, has become a valuable tool for disease monitoring. The CDC even established a national system for COVID-19 surveillance in 2020. Now, researchers have shown that this technique can also be used to detect foodborne pathogens (1✔ ✔Trusted Source
Outbreak-associated Salmonella Baildon found in wastewater demonstrates how sewage monitoring can supplement traditional disease surveillance
Go to source). In findings published today in the Journal of Clinical Microbiology, the researchers report that the bacteria Salmonella enterica was detected in samples from two wastewater treatment plants in central Pennsylvania during June 2022.
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Wastewater Monitoring as a Tool for Early Detection of Non-Typhoidal Salmonella
“Non-typhoidal Salmonella is a common cause of gastroenteritis worldwide, but current surveillance for the disease is suboptimal, so in this research we evaluated the utility of wastewater monitoring to enhance surveillance for this foodborne pathogen,” said Nkuchia M’ikanatha, lead epidemiologist, Pennsylvania Department of Health and an affiliated researcher in Penn State’s Department of Food Science, in the College of Agricultural Sciences. "In this study, we explored wastewater monitoring as a tool to enhance surveillance for this foodborne pathogen."While health care providers are required to report salmonellosis cases, many go undetected. Salmonella bacteria, inhabiting the intestines of animals and humans, are shed in feces. The CDC estimates Salmonella causes roughly 1.35 million infections, 26,500 hospitalizations and 420 deaths annually in the U.S., primarily through contaminated food.
In June 2022, the researchers tested raw sewage samples collected twice a week from two treatment plants in central Pennsylvania for non-typhoidal Salmonella and characterized isolates using whole genome sequencing. They recovered 43 Salmonella isolates from wastewater samples, differentiated by genomic analysis into seven serovars, which are groupings of microorganisms based on similarities. Eight of the isolates, or nearly 20%, were from a rare type of Salmonella called Baildon.
The researchers assessed genetic relatedness and epidemiologic links between non-typhoidal Salmonella isolates from wastewater and similar bacteria from patients with salmonellosis. The Salmonella Baildon serovars isolated from wastewater were genetically indistinguishable from a similar bacteria found in a patient associated with a salmonellosis outbreak in the same period in the area. Salmonella Baildon from wastewater and 42 outbreak-related isolates in the national outbreak detection database had the same genetic makeup. One of the 42 outbreak-related isolates was obtained from a patient residing in the wastewater study sample collection catchment area, which serves approximately 17,000 people.
Salmonella Baildon is a rare serovar — reported in less than 1% of cases nationally over five years, noted M’ikanatha, the study’s first author. He pointed out that this research demonstrates the value of monitoring sewage from a defined population to supplement traditional surveillance methods for evidence of Salmonella infections and to determine the extent of outbreaks.
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Ed Dudley, a professor of food science and the senior author on the study, said these findings highlight the potential of wastewater monitoring as an early warning system for foodborne disease outbreaks, potentially even before physicians and laboratories report cases. This proactive approach could enable health officials to swiftly trace the source of contaminated food, ultimately reducing the number of people affected, suggested Dudley, who also directs Penn State’s E. coli Reference Center.
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Reference:
- Outbreak-associated Salmonella Baildon found in wastewater demonstrates how sewage monitoring can supplement traditional disease surveillance - (https://journals.asm.org/doi/10.1128/jcm.00825-24)
Source-Eurekalert