Background: Panton-Valentine leucocidin is a virulence factor encoded by and that is infrequent in bacteremia (SAB), and, therefore, little is known about risk factors and outcome of /-positive SAB.
Methods: This report is a register-based nationwide observational cohort study. was detected by polymerase chain reaction. Factors associated with the presence of were assessed by logistic regression analysis. Adjusted 30-day hazard ratios of mortality associated with status were computed by Cox proportional hazards regression analysis.
Results: Of 9490 SAB cases, 129 were -positive (1.4%), representing 14 different clonal complexes. was associated with younger age, absence of comorbidity, and methicillin-resistant . In unadjusted analysis, mortality associated with -positive SAB was comparable to SAB. However, -positive SAB nonsurvivors were significantly older and had more comorbidity. Consequently, by adjusted analysis, the risk of 30-day mortality was increased by 70% for -positive SAB compared with SAB (hazard ratio, 1.70; 95% confidence interval, 1.20-2.42; = .003).
Conclusions: -positive SAB is rare in Denmark but associated with a significantly increased risk of mortality. Although the risk of -positive SAB was highest in the younger age groups, >80% of deaths associated with -positive SAB occurred in individuals older than 55 years.
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http://dx.doi.org/10.1093/ofid/ofw220 | DOI Listing |
Microb Biotechnol
January 2025
Fonterra Microbiome Research Centre, University College Cork, Cork, Ireland.
Advancing microbiome-gut-brain axis science requires systematic, rational and translational approaches to bridge the critical knowledge gaps currently preventing full exploitation of the gut microbiome as a tractable therapeutic target for gastrointestinal, mental and brain health. Current research is still marked by many open questions that undermine widespread application to humans. For example, the lack of mechanistic understanding of probiotic effects means it remains unclear why even apparently closely related strains exhibit different effects in vivo.
View Article and Find Full Text PDFNutrients
December 2024
Institut Recerca Sant Pau, Sant Quinti 77-79, 08041 Barcelona, Spain.
Probiotics are gaining recognition as a viable strategy for mitigating cardiovascular risk factors. Specifically, recent studies highlight their potential benefits in managing cholesterol levels, blood pressure, and inflammation, which are critical components in the prevention of cardiovascular diseases (CVD). This comprehensive review aims to elucidate the impact of probiotic consumption on major cardiovascular risk factors, including individuals with hypertension, type II diabetes mellitus, metabolic syndrome, hypercholesterolemia, and in secondary prevention in coronary artery disease.
View Article and Find Full Text PDFChromosomal instability (CIN) is common in solid tumours and fuels evolutionary adaptation and poor prognosis by increasing intratumour heterogeneity. Systematic characterization of driver events in the TRACERx non-small-cell lung cancer (NSCLC) cohort identified that genetic alterations in six genes, including FAT1, result in homologous recombination (HR) repair deficiencies and CIN. Using orthogonal genetic and experimental approaches, we demonstrate that FAT1 alterations are positively selected before genome doubling and associated with HR deficiency.
View Article and Find Full Text PDFTranspl Immunol
December 2024
Department of Transfusion Medicine, Histocompatibility and Molecular Biology, Jaypee Hospital, Noida, UP 201301, India.
Aim: Detection of anti-HLA antibodies is crucial for pre-transplant histocompatibility testing, donor selection, and graft survival. The aim of this study was to evaluate the spectrum of anti-HLA antibodies among live related renal transplant recipients from one of the largest transplant centers in north India.
Methods: In this study, retrospective data of transplant workup done in past four years were analyzed using GraphPad Prism 9 Version 9.
bioRxiv
December 2024
Department of Biomedical Engineering and Computational Biology Program, OHSU, Portland, OR, USA.
Multiplexed tissue imaging (MTI) technologies enable high-dimensional spatial analysis of tumor microenvironments but face challenges with technical variability in staining intensities. Existing normalization methods, including z-score, ComBat, and MxNorm, often fail to account for the heterogeneous, right-skewed expression patterns of MTI data, compromising signal alignment and downstream analyses. We present UniFORM, a non-parametric, Python-based pipeline for normalizing both feature- and pixel-level MTI data.
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