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The protective effect of serum antibodies in preventing SARS-CoV-2 virus entry into cardiac muscle.

Physiol Res

December 2024

Laboratory of Neurobiology and Molecular Psychiatry, Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been associated with significant cardiovascular complications, including myocardial infection and pulmonary embolism. This study aims to elucidate the relationship between the presence of SARS-CoV-2 RNA in the myocardium of the left ventricle and the levels of IgG and IgM antibodies against the SARS-CoV-2 virus in deceased COVID-19 patients. We conducted a post-mortem examination on 91 individuals who succumbed to COVID-19-related complications.

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Importance: Although 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) is a well-established cross-sectional biomarker of brain metabolism in dementia with Lewy bodies (DLB), the longitudinal change in FDG-PET has not been characterized.

Objective: To investigate longitudinal FDG-PET in prodromal DLB and DLB, including a subsample with autopsy data, and report estimated sample sizes for a hypothetical clinical trial in DLB.

Design, Setting, And Participants: Longitudinal case-control study with mean (SD) follow-up of 3.

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In postmortem forensic investigation cases where the bladder is voided or dehydrated prior to autopsy, it is possible to wash the bladder with saline and collect the 'bladder wash' and any residual urine for toxicological analysis. While not conventional, this study aims to determine the use of bladder washes as alternative specimens in postmortem forensic toxicology. Comprehensive drug and alcohol analysis was performed on blood, urine, vitreous humor and bladder wash samples.

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This study evaluated the performance of a deep-learning-based model that predicted cooking loss in the semispinalis capitis (SC) muscle of pork butts using hyperspectral images captured 24 h postmortem. To overcome low-scale samples, 70 pork butts were used with pixel-based data augmentation. Principal component regression (PCR) and partial least squares regression (PLSR) models for predicting cooking loss in SC muscle showed higher R values with multiplicative signal correction, while the first derivative resulted in a lower root mean square error (RMSE).

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