This study aimed to evaluate the virulence characteristics of ST11 Salmonella enterica from various sources and explore its pathogenic mechanisms and the molecular basis of antimicrobial resistance. In total, 20 Salmonella isolates collected between 2017 and 2022 from environmental, animal, clinical, and food sources were analyzed. Comprehensive investigations were conducted using whole-genome sequencing, bioinformatic analysis, broth microdilution methods, a two-dimensional (2D) cell model (Caco-2 cells), and a Galleria mellonella infection model. All tested ST11 strains carried major pathogenicity islands (PAIs) SPI-1salmonella pathogenicity island-1 (SPI-1) to SPI-5, and 90 % of the isolates harbored three or more plasmids, facilitating the horizontal transfer of virulence genes. Expression levels of sopA, ssaV, sipA/sspA, and sipB/sspB virulence genes varied significantly among strains, with sipB/sspB playing a key role in the invasion of ST11 strains. The results of invasion assays using the 2D cell model were consistent with those from the Galleria mellonella infection model, validating the 2D model's effectiveness in evaluating Salmonella's virulence. The findings suggest that Salmonella's virulence is not directly associated with the source of the isolates, and plasmid diversity may impact adaptability and transmission patterns. This study provides new insights into the pathogenic mechanisms of ST11 Salmonella and lays the groundwork for developing a novel 3D cell model to assess bacterial virulence.
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http://dx.doi.org/10.1016/j.ijfoodmicro.2025.111151 | DOI Listing |
Ann Med
December 2025
Department of Assisted Reproductive Centre, Xiangya Hospital Zhuzhou Central South University, Central South University, Zhuzhou, China.
Background: Butyrate may inhibit SARS-CoV-2 replication and affect the development of COVID-19. However, there have been no systematic comprehensive analyses of the role of butyrate metabolism-related genes (BMRGs) in COVID-19.
Methods: We performed differential expression analysis of BMRGs in the brain, liver and pancreas of COVID-19 patients and controls in GSE157852 and GSE151803.
J Cell Mol Med
March 2025
Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University & Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, Nanjing, Jiangsu, China.
The global incidence of biliary tract cancer (BTC) is on the rise, presenting a substantial healthcare challenge. The integration of immune checkpoint inhibitors (ICIs) with molecularly targeted therapies is emerging as a strategy to enhance immune responses. However, the efficacy and underlying mechanisms of these treatments in BTC are still largely unexplored.
View Article and Find Full Text PDFACS Appl Bio Mater
March 2025
College of Chemistry and Chemical Engineering, Qingdao University, Qingdao 266071, China.
Photodynamic therapy (PDT) has been demonstrated to be an effective tool for cancer treatment. Seeking organelle-targeting photosensitizers (PSs) with robust reactive oxygen species (ROS) production is extremely in demand. Herein, we propose an aggregation-induced photosensitization strategy for effective PDT with osmium complexes.
View Article and Find Full Text PDFTrends Biotechnol
March 2025
Department of Bioengineering, Imperial College London, London, UK; Imperial College Centre for Synthetic Biology, Imperial College London, London, UK.
Building DNA constructs of increasing complexity is key to synthetic biology. Golden Gate (GG) methods led to the creation of cloning toolkits - collections of modular standardized DNA parts hosted on hierarchic plasmids, developed for yeast, plants, Gram-negative bacteria, and human cells. However, Gram-positive bacteria have been neglected.
View Article and Find Full Text PDFInt Dent J
March 2025
Department of Restorative Dentistry, College of Dentistry, Ajman University, Ajman, United Arab Emirates; Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates.
Artificial intelligence (AI) holds immense promise in revolutionising dentistry, spanning, diagnostics, treatment planning and educational realms. This narrative review, in two parts, explores the fundamentals and the multifaceted potential of AI in dentistry. The current article explores the profound impact of AI in dentistry, encompassing diagnostic tools, treatment planning, and patient care.
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