Category Archives: microbial contamination

Research – Listeria monocytogenes—How This Pathogen Uses Its Virulence Mechanisms to Infect the Hosts

MDPI

Abstract

Listeriosis is a serious food-borne illness, especially in susceptible populations, including children, pregnant women, and elderlies. The disease can occur in two forms: non-invasive febrile gastroenteritis and severe invasive listeriosis with septicemia, meningoencephalitis, perinatal infections, and abortion. Expression of each symptom depends on various bacterial virulence factors, immunological status of the infected person, and the number of ingested bacteria. Internalins, mainly InlA and InlB, invasins (invasin A, LAP), and other surface adhesion proteins (InlP1, InlP4) are responsible for epithelial cell binding, whereas internalin C (InlC) and actin assembly-inducing protein (ActA) are involved in cell-to-cell bacterial spread. L. monocytogenes is able to disseminate through the blood and invade diverse host organs. In persons with impaired immunity, the elderly, and pregnant women, the pathogen can also cross the blood–brain and placental barriers, which results in the invasion of the central nervous system and fetus infection, respectively. The aim of this comprehensive review is to summarize the current knowledge on the epidemiology of listeriosis and L. monocytogenes virulence mechanisms that are involved in host infection, with a special focus on their molecular and cellular aspects. We believe that all this information is crucial for a better understanding of the pathogenesis of L. monocytogenes infection.

Research – Variability in Cold Tolerance of Food and Clinical Listeria monocytogenes Isolates

MDPI

Abstract

The aim of this study was to investigate the level of strain variability amongst food and clinical Listeria monocytogenes isolates growing at low temperatures (4 and 7 °C) in both laboratory media and real food matrices. Isolates (n = 150) grown in laboratory media demonstrated a large variation in growth profiles measured using optical density.
Overall, it was noted that clinical isolates exhibited a significantly higher growth rate (p ≤ 0.05) at 7 °C than the other isolates. Analysis of variance (ANOVA) tests of isolates grouped using Multi Locus Sequence Typing (MLST) revealed that clonal complex 18 (CC18) isolates were significantly (p ≤ 0.05) faster growing at 4 °C than other CC-type isolates while CC101, CC18, CC8, CC37 and CC14 were faster growing than other CC types at 7 °C. Euclidean distance and Ward method-based hierarchical clustering of mean growth rates classified 33.33% of isolates as faster growing.
Fast and slow growing representative isolates were selected from the cluster analysis and growth rates were determined using plate count data in laboratory media and model food matrices. In agreement with the optical density experiments, CC18 isolates were faster and CC121 isolates were slower than other CC types in laboratory media, UHT milk and fish pie. The same trend was observed in chocolate milk but the differences were not statistically significant. Moreover, pan-genome analysis (Scoary) of isolate genome sequences only identified six genes of unknown function associated with increased cold tolerance while failing to identify any known cold tolerance genes. Overall, an association that was consistent in laboratory media and real food matrices was demonstrated between isolate CC type and increased cold tolerance.

RASFF Alert – Cottage Cheese Tubes – Microbiological Defect

RASFF

Tubes de fromage blanc – Défaut microbiologique from France in the Netherlands

RASFF Alerts – Animal Feed – Salmonella – Fish Meal – Turkey Processed Protein – Rapeseed Meal

RASFF

Salmonella in fish meal from Poland in Lithuania

RASFF

Salmonella Muenster and Salmonella Rissen in turkey processed animal protein from Spain in Belgium

RASFF

Salmonella spp. in rapeseed meal from Germany in Finland, Denmark and Sweden

Research – Inhibition of Aflatoxin Production by Citrinin and Non-Enzymatic Formation of a Novel Citrinin-Kojic Acid Adduct

MDPI

Abstract

Screening for microorganisms that inhibit aflatoxin production from environments showed that Penicillium citrinum inhibited aflatoxin production by Aspergillus parasiticus. The inhibitory substance in the culture medium of P. citrinum was confirmed to be citrinin (CTN). RT-PCR analyses showed that CTN did not inhibit expressions of aflatoxin biosynthetic genes (aflRpksL1, and fas-1) of A. parasiticus, whereas feeding experiments using A. parasiticus showed that CTN inhibited the in vivo conversion of dihydrosterigmatocystin to AFB2·AFG2. These results suggest that CTN inhibits a certain post-transcriptional step in aflatoxin biosynthesis. CTN in the culture medium of A. parasiticus was found to be decreased or lost with time, suggesting that a certain metabolite produced by A. parasiticus is the cause of the CTN decrease; we then purified, characterized, and then analyzed the substance. Physico-chemical analyses confirmed that the metabolite causing a decrease in CTN fluorescence was kojic acid (KA) and the resulting product was identified as a novel substance: (1R,3S,4R)-3,4-dihydro-6,8-dihydroxy-1-(3-hydroxy-6-(hydroxymethyl)-4-oxo-4H-pyran-2-yl)-3,4,5-trimethyl-1H-isochromene-7-carboxylic acid, which was named “CTN-KA adduct”. Our examination of the metabolites’ toxicities revealed that unlike CTN, the CTN-KA adduct did not inhibit aflatoxin production by A. parasiticus. These results indicate that CTN’s toxicity was alleviated with KA by converting CTN to the CTN-KA adduct.

Composition-Based Risk Estimation of Mycotoxins in Dry Dog Foods

MDPI

Abstract

The risk of mycotoxins co-occurrence in extrusion-produced dry foods increases due to their composition based on various grains and vegetables. This study aimed to validate a risk estimation for the association between ingredients and the ELISA-detected levels of DON, FUM, ZEA, AFs, T2, and OTA in 34 dry dog food products. The main ingredients were corn, beet, and oil of different origins (of equal frequency, 79.41%), rice (67.6%), and wheat (50%). DON and FUM had the strongest positive correlation (0.635, = 0.001). The presence of corn in the sample composition increased the median DON and ZEA levels, respectively, by 99.45 μg/kg and 65.64 μg/kg, p = 0.011. In addition to DON and ZEA levels, integral corn presence increased the FUM median levels by 886.61 μg/kg, = 0.005. For corn gluten flour-containing samples, DON, FUM, and ZEA median differences still existed, and OTA levels also differed by 1.99 μg/kg, < 0.001. Corn gluten flour presence was strongly associated with DON levels >403.06 μg/kg (OR = 38.4, RR = 9.90, = 0.002), FUM levels >1097.56 μg/kg (OR = 5.56, RR = 1.45, = 0.048), ZEA levels >136.88 μg/kg (OR = 23.00, RR = 3.09, = 0.002), and OTA levels >3.93 μg/kg (OR = 24.00, RR = 3.09, = 0.002). Our results suggest that some ingredients or combinations should be avoided due to their risk of increasing mycotoxin levels.

USA – FDA Warning Letter – Bainbridge Beverage West, LLC- Microbial Risk

FDA

The U.S Food and Drug Administration (FDA) inspected your juice manufacturing facility, located at 2335 Del Monte Street, West Sacramento, CA 95691 on June 9, 10, 22, 24, and 29, 2022. We found that you have serious violations of the FDA’s juice Hazard Analysis and Critical Control Point (HACCP) regulation, Title 21, Code of Federal Regulations, Part 120 (21 CFR Part 120). In accordance with 21 CFR 120.9, failure of a processor to have and implement a HACCP plan that complies with the requirements of 21 CFR Part 120 renders the juice products adulterated within the meaning of Section 402(a)(4) of the Federal Food, Drug and Cosmetic Act (the Act) [21 U.S.C. § 342(a)(4)]. Accordingly, your juice products are adulterated in that they have been prepared, packed, or held under insanitary conditions whereby they may have been contaminated with filth, or whereby they may have been rendered injurious to health. You may find the Act, FDA’s juice HACCP regulations and the Juice HACCP Hazards and Controls Guidance through links in FDA’s home page at www.fda.gov.External Link Disclaimer

To date, the agency has not received a written response from your firm regarding the violations noted on the Form FDA-483, Inspectional Observations, which was issued to your firm at the conclusion of the inspection.

USA – FDA Warning Letter Big Olaf Creamery LLC dba Big Olaf – Listeria monocytogenes

FDA

The United States Food and Drug Administration (FDA) inspected your ready-to-eat (RTE) ice cream manufacturing facility, located at 2001 Cattlemen Rd Unit 123, Sarasota, Florida, from July 19 to September 01, 2022. The inspection was initiated as part of a joint investigation with the Florida Department of Health (FL DOH) and Florida Department of Agriculture & Consumer Services (FDACS) of a multistate outbreak of Listeria monocytogenes (L. monocytogenes) infections linked to ice cream supplied by your facility. According to the Centers for Disease Control and Prevention (CDC), 28 ill people from 11 states were infected with the outbreak strain of L. monocytogenes. On July 13, 2022, your firm recalled all ice cream products, lots, and expiration dates of Big Olaf brand ice cream through June 30, 2022, because they had the potential of being contaminated with L. monocytogenes. CDC and FDA have determined, based upon the epidemiological data and Whole Genome Sequencing (WGS) matches between clinical and FDACS environmental and finished product samples that ice cream manufactured at this facility was the source of this multistate L. monocytogenes outbreak.

During the inspection of your facility, FDA found serious violations of the Current Good Manufacturing Practice, Hazard Analysis, and Risk-Based Preventative Controls for Human Food regulation (CGMP & PC rule), Title 21, Code of Federal Regulations, Part 117 (21 CFR Part 117).

Research – Concept about the Virulence Factor of Legionella

MDPI

Abstract

Pathogenic species of Legionella can infect human alveolar macrophages through Legionella-containing aerosols to cause a disease called Legionellosis, which has two forms: a flu-like Pontiac fever and severe pneumonia named Legionnaires’ disease (LD). Legionella is an opportunistic pathogen that frequently presents in aquatic environments as a biofilm or protozoa parasite. Long-term interaction and extensive co-evolution with various genera of amoebae render Legionellae pathogenic to infect humans and also generate virulence differentiation and heterogeneity. Conventionally, the proteins involved in initiating replication processes and human macrophage infections have been regarded as virulence factors and linked to pathogenicity. However, because some of the virulence factors are associated with the infection of protozoa and macrophages, it would be more accurate to classify them as survival factors rather than virulence factors. Given that the molecular basis of virulence variations among non-pathogenic, pathogenic, and highly pathogenic Legionella has not yet been elaborated from the perspective of virulence factors, a comprehensive explanation of how Legionella infects its natural hosts, protozoans, and accidental hosts, humans is essential to show a novel concept regarding the virulence factor of Legionella. In this review, we overviewed the pathogenic development of Legionella from protozoa, the function of conventional virulence factors in the infections of protozoa and macrophages, the host’s innate immune system, and factors involved in regulating the host immune response, before discussing a probably new definition for the virulence factors of Legionella.

USA – Food Code 2022

FDA

Food Code 2022

The Food Code is a model for safeguarding public health and ensuring food is unadulterated and honestly presented when offered to the consumer. It represents FDA’s best advice for a uniform system of provisions that address the safety and protection of food offered at retail and in food service.

This model is offered for adoption by local, state, and federal governmental jurisdictions for administration by the various departments, agencies, bureaus, divisions, and other units within each jurisdiction that have been delegated compliance responsibilities for food service, retail food stores, or food vending operations. Alternatives that offer an equivalent level of public health protection to ensure that food at retail and foodservice is safe are recognized in this model.

The 2022 Food Code (10th edition) reflects the agency’s continued commitment to maintaining cooperative programs with state, local, tribal, and territorial governments.

The 2022 edition reflects the input of regulatory officials, industry, academia, and consumers that participated in the 2020 biennial meeting of the Conference for Food Protection (CFP) (held in 2021).

Members of FDA’s National Retail Food Team are available to assist regulatory officials, educators, and the industry in their efforts to adopt, implement, and understand the provisions of the FDA Food Code and the Retail Program Standards. Inquiries may be sent to retailfoodprotectionteam@fda.hhs.gov or directly to a Retail Food Specialist located in one of FDA’s three Retail Food Protection Branches across the country.

Food Code 2022 (PDF: 4.68MB)

Summary of Changes in the 2022 FDA Food Code