18F-Sodium Fluoride PET/CT as a Tool to Assess Enthesopathies in X-Linked Hypophosphatemia.

X-linked hypophosphatemia (XLH) is a rare metabolic disorder characterized by elevated FGF23 and chronic hypophosphatemia, leading to impaired skeletal mineralization and enthesopathies that are associated with pain, stiffness, and diminished quality of life. The natural history of enthesopathies in XLH remains poorly defined, partly due to absence of a sensitive quantitative tool for assessment and monitoring. This study investigates the utility of 18F-NaF PET/CT scans in characterizing enthesopathies in XLH subjects.

Lactobacillus and Saccharomyces fermentation products impact performance and the fecal microbiome in weanling pigs inoculated with enterotoxigenic Escherichia coli.

Background: Enterotoxigenic F4 E. coli (F4-ETEC) pose an economic threat to the swine industry through reduced growth, increased mortality and morbidity, and increased costs associated with treatment. Prevention and treatment of F4-ETEC often relies on antimicrobials; however, due to the threat of antimicrobial resistance, antimicrobial use is being minimized, and hence alternative control methods are needed.

Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK Biobank.

Background And Aims: An in silico quantitative score of coronary artery disease (ISCAD), built using machine learning and clinical data from electronic health records, has been shown to result in gradations of risk of subclinical atherosclerosis, coronary artery disease (CAD) sequelae, and mortality. Large-scale metabolite biomarker profiling provides increased portability and objectivity in machine learning for disease prediction and gradation. However, these models have not been fully leveraged.

The role of gene copy number variation in antimicrobial resistance in human fungal pathogens.

Faced with the burden of increasing resistance to antifungals in many fungal pathogens and the constant emergence of new drug-resistant strains, it is essential to assess the importance of various resistance mechanisms. Fungi have relatively plastic genomes and can tolerate genomic copy number variation (CNV) caused by aneuploidy and gene amplification or deletion. In many cases, these genomic changes lead to adaptation to stressful conditions, including those caused by antifungal drugs.

Development of a Body of Knowledge for the Clinical Bioinformatician: Perspectives from the Association for Molecular Pathology's Clinical Genomics Bioinformatician Body of Knowledge Steering Committee.

The use of next-generation sequencing and other high-throughput technologies in the clinical molecular diagnostics laboratory requires the application of bioinformatics pipelines and other computational tools to analyze, visualize, and store these clinical data. Clinical bioinformaticians, individuals with the skills to develop, validate, and deploy these tools in a clinical setting, are needed to ensure that these molecular diagnostic technologies can be appropriately used for clinical care. Building on existing expertise in informatics, next-generation sequencing, and clinical molecular diagnostics, the Association for Molecular Pathology has generated a series to establish an initial clinical bioinformatician body of knowledge.