Simultaneous Quantification of Biogenic Amines and their Metabolites in Mice Tissue by Combining Ultraviolet and Integrated Pulsed Amperometric Detectors.

We developed a reversed-phased high-performance liquid chromatographic method combining ultraviolet detection and integrated pulsed amperometric detection for the simultaneous quantification of dopamine, 5-hydroxyindolacetic acid, homovanillic acid, serotonin, 3,4-dihydroxyphenylacetic acid, norepinephrine and epinephrine. All target components were completely separated in a C18 column with isocratic elution of 5% acetonitrile solution containing 8 mM HClO4 and 0.20 mM 1-octanesulfonic acid as an ion pairing reagent.

Dexamethasone-Antibiotic Interactions in Canine Ocular Bacteria: In Vitro Susceptibility Changes in Common Corneal Infection Pathogens.

Objective: To investigate the impact of dexamethasone on the antibiotic susceptibility of common ocular pathogens in dogs and identify safe antibiotic-steroid combinations for veterinary ophthalmology.

Methods: This study utilized 30 bacterial isolates of Staphylococcus pseudintermedius, Streptococcus canis, and Pseudomonas aeruginosa, collected from canine patients with suspected bacterial keratitis. The isolates were tested against 17 antibiotics in the presence of dexamethasone concentrations ranging from 0 to 2 mg/mL.

Clinical spectrum of adult-onset leukoencephalopathy with axonal spheroids and pigmented glia in individuals of Korean ancestry.

Adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP) is a rare white matter disease characterized by axonal and glial injury. Although its clinical characteristics have been described in case reports, the prevalence of CSF1R mutations in clinically suspected ALSP cases remains unclear. Herein, we analysed the frequency of CSF1R mutations in patients with probable or possible ALSP and describe the genetic, clinical, radiological, and pathological findings of ALSP cases in individuals of Korean ancestry.

Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application.

Background: This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules.

Methods: This retrospective analysis included ultrasound images of patients with thyroid nodules investigated by fine-needle aspiration at the thyroid clinic of a single center from April 2010 to September 2012. Thyroid nodules with cytopathologic results of Bethesda category V (suspicious for malignancy) or VI (malignant) were defined as thyroid cancer.