Chromatin modification triggered by bacteria is a newly described mechanism by which pathogens impact host transcription. Listeria monocytogenes dephosphorylates histone H3 through the action of listeriolysin O (LLO); however, the underlying mechanism is unknown. Here we show that an unrelated pore-forming toxin, Aeromonas aerolysin, also provokes H3 dephosphorylation (dePH3). As reported for aerolysin, we show that LLO and related toxins induce a pore-dependent K(+) efflux and that this efflux is the signal required for dePH3. In addition, LLO-induced K(+) efflux activates caspase-1. However, we demonstrate that dePH3 is unlinked to this activation. Therefore, our study unveils K(+) efflux as an important signal leading to two independent events critical for infection, inflammasome activation and histone modification.
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http://dx.doi.org/10.1128/IAI.01243-10 | DOI Listing |
iScience
December 2024
The Affiliated Zhongda Hospital, Clinical Medical College, Southeast University, Nanjing, Jiangsu, China.
Sepsis, a leading cause of mortality in intensive care units worldwide, lacks effective treatments for advanced-stage sepsis. Therefore, understanding the underlying mechanisms of this disease is crucial. This study reveals that invariant natural killer T (iNKT) cells have an opposing role in the progression of sepsis by suppressing regulatory T (Treg) cell differentiation and function.
View Article and Find Full Text PDFMicrobiol Spectr
December 2024
Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, Kentucky, USA.
Unlabelled: The BioFire FilmArray meningitis/encephalitis panel (MEP) was brought to the University of Kentucky in 2016 to aid in the identification of community-acquired meningitis and encephalitis (ME). This panel has shown variable performance with some institutions showing high sensitivity and specificity for many pathogens but others seeing false positives during clinical use. We evaluated the panel's performance using retrospective chart review of patients at the University of Kentucky from October 2016 to September 2022, including 7,551 MEP results.
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December 2024
Department of Microbiology, Immunology, and Molecular Genetics, University of Kentucky, Lexington, Kentucky, USA.
Unlabelled: are facultative intracellular bacterial pathogens that cause foodborne disease in humans. The bacteria can use the surface protein InlA to invade intestinal epithelial cells or transcytose across M cells in the gut, but it is not well understood how the bacteria traffic from the underlying lamina propria to the draining mesenteric lymph nodes (MLN). Previous studies indicated that associated with both monocytes and dendritic cells in the intestinal lamina propria.
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December 2024
Department of Food Science and Technology, UIC Zoonosis y Enfermedades Emergentes (ENZOEM) University of Córdoba Cordoba Spain.
Food safety is a global challenge, with nearly 1 in 10 people worldwide falling ill each year from consuming contaminated food. The risk is particularly high in ready-to-eat (RTE) products, which are consumed without further cooking to eliminate harmful microorganisms. To address this, the University of Cordoba and the University of Bologna, in the framework of the EU-FORA programme, developed a training programme focused on quantitative microbial risk assessment (QMRA) for in RTE food processing chains, a significant public health concern due to its association with severe foodborne illnesses.
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December 2024
Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment Aristotle University of Thessaloniki Thessaloniki Greece.
Quantitative microbiological risk assessment (QMRA) of pathogens in food safety is well established, but steps are being taken to expand this methodology to food spoilage. Parallels can be drawn between the steps involved in a QMRA for pathogens and its application to specific spoilage organisms (SSO). During hazard characterisation for pathogens, the appropriate dose-response model is used to link the hazard level to the health outcome by estimating the probability of illness, resulting from the ingestion of a certain dose of the hazard.
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