Salmonella presents serious risks to human health, causing about 150,000 deaths per year through the consumption of contaminated food, especially chicken eggs. Consequently, risk of salmonellosis from chicken eggs is of significant interest to the Saudi Food and Drug Authority (SFDA). Models that predict the risk of salmonellosis from chicken eggs are valuable tools for protecting public health. After a review of existing models, the SFDA selected the Poultry Food Assess Risk Model (PFARM) for the purpose of evaluating its ability to assess the risk and severity of salmonellosis for a small cohort of chicken egg consumers in Riyadh, Saudi Arabia, as a proof-of-concept and pilot study. The PFARM was selected because it uses novel methods to consider more risk factors for salmonellosis than other models, such as growth potential and zoonotic potential of Salmonella, buffering capacity of the meal, and consumer behavior, health, and immunity. The SFDA examined chicken eggs from retail stores in Riyadh for Salmonella contamination and surveyed 125 consumers to obtain data for simulating how they store, prepare, and consume eggs at home, and their resistance to salmonellosis. The prevalence of Salmonella in chicken eggs at retail was 7% (7/100). The isolated Salmonella serotypes were Cerro (n = 4), Enteritidis, Stanley, and Winston. Salmonella’s mean number (growth units) per contaminated egg was 1.58 log₁₀ (range: 0 to 3.08 log₁₀). The mean category for consumer survey results ranged from 1.1 (very low risk) for meal preparation time to 3.7 (high risk) for home storage time with 34.4% of consumers having low resistance to salmonellosis. Per 100,000 egg meals, the PFARM predicted 88 infections, two illnesses, and no hospitalizations or deaths. The consumers who became ill were exposed to Salmonella Enteritidis, had moderate resistance to salmonellosis but high-risk behaviors for egg storage (temperature abuse), meal preparation (poor hygiene), and consumption (undercooked eggs). These results showed that the studied chicken eggs posed a low risk and severity of salmonellosis for the surveyed consumer cohort in Riyadh, Saudi Arabia, and that the PFARM was fit-for-purpose. The next step is to improve the PFARM and apply it more broadly in Saudi Arabia to better define the problem and its control.

Background/Objectives: The emergence of colistin resistance mediated by the mcr-1 gene in Salmonella enterica poses a significant public health concern. In 2022, mcr-1 was identified for the first time in Salmonella isolates recovered from chicken meat in Saudi Arabia, prompting the need for further genomic investigation. Methods: Four Salmonella enterica isolates—two serovar Minnesota and two serovar Infantis—underwent antimicrobial susceptibility testing (AST), whole-genome sequencing (WGS), and bioinformatics analyses including antimicrobial resistance genes (ARGs), virulence factors, plasmid replicons, and mcr-1 locations. Results: All isolates exhibited resistance to colistin, polymyxin B, and multiple first-line antibiotics. All four isolates were classified as multidrug-resistant (MDR). The mcr-1 gene was plasmid-borne in all isolates, located on IncI1_1_Alpha plasmids in S. Minnesota and IncFIB(K)_1_Kpn3 plasmids in S. Infantis. Additional antimicrobial resistance genes (ARGs) were detected, including bla_CTX-M-65, qnrB5, ermB, and aminoglycoside-modifying enzymes, alongside multiple efflux pump genes. Virulence gene profiles showed minor differences between serovars, including the presence of the cdtB toxin gene in S. Infantis isolates. Phylogenetic analysis indicated that the isolates clustered within a distinct clade, suggesting a potential common local source or clonal expansion. Conclusions: This study provides the first detailed genomic insight into mcr-1-positive Salmonella isolates from food in Saudi Arabia. The co-existence of resistance and virulence determinants, together with mobile plasmids carrying the mcr-1 gene, emphasizes the risk of dissemination through the food chain. These findings highlight the urgent need for integrated genomic surveillance and strengthened antimicrobial stewardship within a One Health framework.