Salmonellosis is a common foodborne disease caused by bacteria. The emergence of multidrug-resistant (MDR) Salmonella serotypes, such as Typhimurium, and Salmonella's ability to form biofilms contribute to their resistance and persistence in host and non-host environments. New strategies are needed to treat or prevent Salmonella infections. This work aimed to determine the effect of the bovine lactoferrin (bLF) and lactoferrin chimera (LFchimera) in preventing or disrupting biofilms formed on abiotic surfaces or Caco-2 cells by Typhimurium ATCC 14028 or an MDR strain. The inhibitory activity of planktonic bacteria, prevention of biofilm formation, and destruction of biofilms of Typhimurium (ATCC 14028 or MDR strain) on the abiotic surface and Caco-2 cells of bLF and LFchimera were quantified by CFU/mL and visualized by microscopy using Giemsa-stained samples. bLF (75-1000 µM) and LFchimera (1-20 µM) inhibited more than 95% of Typhimurium planktonic growth cultures (ATCC 14028 and MDR). In addition, bLF (600, 800, and 1000 µM) and LFchimera (10 and 20 µM) prevented more than 98% of . Typhimurium adherence and biofilm formation on Caco-2 cells. Finally, bLF (600 and 1000 µM) and LFchimera (10 and 20 µM) destroyed more than 80% of Typhimurium biofilms established on abiotic and Caco-2 cells. In conclusion, bLF and LFchimeras have the potential to inhibit and destroy Typhimurium biofilms.
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http://dx.doi.org/10.1139/bcb-2024-0100 | DOI Listing |
Toxicol In Vitro
December 2024
Faculty of Agricultural and Environmental Sciences, McGill University, Montreal, Canada. Electronic address:
There is growing scientific and regulatory interest in transcriptomic points of departure (tPOD) values from high-throughput in vitro experiments. To further help democratize tPOD research, here we outline 'TPD-seq' which links microplate-based exposure methods involving cell lines for human (Caco-2, Hep G2) and environmental (rainbow trout RTgill-W1) health, with a commercially available RNA-seq kit, with a cloud-based bioinformatics tool (ExpressAnalyst.ca).
View Article and Find Full Text PDFFood Chem
December 2024
College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, PR China; Key Laboratory of Environment Correlative Dietology (Huazhong Agricultural University), Ministry of Education, Wuhan, Hubei 430070, PR China. Electronic address:
Improving sea buckthorn flavonoids (SF) stability and bioacccessibility is of more practical significance for evaluating the total bioacccessibility of such foods. Therefore, we prepared nanoparticles using zein and gum Arabic (GA) by anti-solvent precipitation to encapsulate SF. Nanoparticles were characterized and assessed for their effect on the stability, release, bioaccessibility, absorption, and antioxidant properties of SF in the in vitro digestion and cell line.
View Article and Find Full Text PDFCell Biosci
December 2024
Division of Neuroscience, Dept. of Psychology, University La Sapienza, Via dei Sardi 70, 00185, Rome, Italy.
Background: The Niemann Pick C1 (NPC1) protein is an intracellular cholesterol transporter located in the late endosome/lysosome (LE/Ly) that is involved in the mobilization of endocytosed cholesterol. Loss-of-function mutations in the NPC1 gene lead to the accumulation of cholesterol and sphingolipids in LE/Ly, resulting in severe fatal NPC1 disease. Cellular alterations associated with NPC1 inactivation affect both the integrity of lipid rafts and the endocytic pathway.
View Article and Find Full Text PDFCell Death Dis
December 2024
Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lipid metabolism disorder is a critical feature of Crohn's disease (CD). Phosphatidylinositol (PI) and its derivative, phosphatidylinositol bisphosphate (PIP2), are associated with CD. The mechanisms underlying such association remain unknown.
View Article and Find Full Text PDFJ Pharm Sci
December 2024
Research and Development, AbbVie Inc., 1 North Waukegan Road, North Chicago, Illinois, 60064, United States.
Biopharmaceutical companies generate a wealth of data, ranging from in silico physicochemical properties and machine learning models to both low and high-throughput in vitro assays and in vivo studies. To effectively harnesses this extensive data, we introduce a statistical methodology facilitated by Accuracy, Utility, and Rank Order Assessment (AURA), which combines basic statistical analyses with dynamic data visualizations to evaluate endpoint effectiveness in predicting intestinal absorption. We demonstrated that various physicochemical properties uniquely influence intestinal absorption on a project-specific basis, considering factors like intestinal efflux, passive permeability, and clearance.
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