Temporal Dynamics and (Para)Clinical Factors Associated With (Long) Viral RNA Shedding in COVID-19 Nonhospitalized Individuals - The COVID-HOME Study.

Understanding temporal patterns and determinants of RNA shedding is important to comprehend SARS-CoV-2 transmission and improve biosafety/isolation guidelines. Nonhospitalized SARS-CoV-2-infected individuals and household members were enrolled between March 2020 and June 2021 and followed prospectively ≥ 3 weeks during acute disease and at 3-, 6-, 12-, and 18-months to obtain (para)clinical data and biospecimens. Flow cytometry-based surrogate assay (FlowSA) detected viable SARS-CoV-2.

Peri-operative and Midterm Results of Supracoeliac vs. Infracoeliac Sealing for Fenestrated Endovascular Aortic Repair of Juxtarenal Aortic Aneurysms.

Unlabelled: This retrospective observational study using clinical data from two large hospitals in the Netherlands evaluated midterm outcomes of fenestrated endovascular aortic repair for juxtarenal abdominal aortic aneurysms (JAAAs), comparing supracoeliac with infracoeliac sealing. Supracoeliac sealing is considered advantageous due to a longer proximal sealing, but morbidity is usually higher. Supracoeliac proximal sealing was found to be safe and effective for treating JAAAs, with peri-operative and midterm outcomes comparable with infracoeliac proximal sealing.

The gut microbiota as an early predictor of COVID-19 severity.

Several studies reported alterations of the human gut microbiota (GM) during COVID-19. To evaluate the potential role of the GM as an early predictor of COVID-19 at disease onset, we analyzed gut microbial samples of 315 COVID-19 patients that differed in disease severity. We observed significant variations in microbial diversity and composition associated with increasing disease severity, as the reduction of short-chain fatty acid producers such as and , and the growth of pathobionts as and .

Part II: A new perspective for modeling the bone remodeling process: Biology, mechanics, and pathologies.

In this paper, we explore the effects of biological (pathological) and mechanical damage on bone tissue within a benchmark model. Using the Finite Element Methodology, we analyze and numerically test the model's components, capabilities, and performance under physiologically and pathologically relevant conditions. Our findings demonstrate the model's effectiveness in simulating bone remodeling processes and self-repair mechanisms for micro-damage induced by biological internal conditions and mechanical external ones within bone tissue.