Summary: Latest from our Journal Club: a genomic analysis of a canine leptospirosis outbreak in Los Angeles County in 2021, how the microbiome degrades a sweetener with potential to damage intestinal barrier function, and a new AI framework for antimicrobial susceptibility testing (AST).
Clinical investigation and WGS of canine Leptospira interrogans isolates from a 2021 Los Angeles County outbreak identified multiple closely related strains and demonstrated the value of applying genomic epidemiology for characterizing leptospirosis transmission in companion animals.
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A dynamic in vitro gut simulator inoculated with fecal microbiota was used to assess gut microbial responses to the artificial sweetener Acesulfame-K. The study found that gut microbes may metabolize the sweetener, potentially impairing intestinal barrier function.
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Researchers developed a deep learning–based image analysis framework capable of automatically interpreting antimicrobial susceptibility testing (AST) results from agar diffusion assays.
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This week’s Journal Club explores a genomic analysis of a canine leptospirosis outbreak in Los Angeles County in 2021, examines how the microbiome degrades a sweetener with potential to damage intestinal barrier function, and introduces a new AI framework for antimicrobial susceptibility testing (AST).
