Salmonella presents a significant threat to the health of animals and humans, especially with the rise of strains resistant to multiple drugs. This highlights the necessity for creating sustainable and efficient practical approaches to managing salmonellosis. The most recent and safest approach to combat antimicrobial resistance-associated infections is lytic bacteriophages.
View Article and Find Full Text PDFThe present study investigated the impact of butyrate glycerides (BG) on lipid metabolism, intestinal morphology, and microbiota of laying hens. Four hundred eighty 54-week-old Hy-line Brown laying hens were randomly selected and divided into five groups. The control group (ND) was fed a basal diet.
View Article and Find Full Text PDFBackground: The impact of early-stage chronic kidney disease (CKD) on cardiovascular outcomes, particularly when albuminuria is present, remains unclear. This study examined the associations between early CKD (stages 1 and 2) with and without albuminuria and the incidence of major adverse cardiovascular events (MACEs), heart failure (HF) and all-cause mortality.
Methods: A cohort of 456 015 participants from the UK Biobank was categorised by CKD stage using serum creatinine to calculate estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine ratio (≥3 mg/mmol) to define albuminuria.
Chromoblastomycosis (CBM) is a chronic neglected fungal disease that causes serious damage to the physical and mental health of patients. 5-Aminolevulinic acid photodynamic therapy (ALA-PDT) has garnered significant attention in the recent era for the treatment of CBM and has exhibited promising effects in several clinical case reports. We established a mice footpad infection model with and analyzed the impact of PDT treatment on the immune response of macrophages using single-cell sequencing.
View Article and Find Full Text PDFVisual analysis of peripheral blood smear slides using medical image analysis is required to diagnose red blood cell (RBC) morphological deformities caused by anemia. The absence of a complete anaemic RBC dataset has hindered the training and testing of deep convolutional neural networks (CNNs) for computer-aided analysis of RBC morphology. We introduce a benchmark RBC image dataset named Anemic RBC (AneRBC) to overcome this problem.
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