A biomathematical model of SARS-CoV-2 in Syrian hamsters.

When infected with SARS-CoV-2, Syrian hamsters (Mesocricetus auratus) develop moderate disease severity presenting key features of human COVID-19. We here develop a biomathematical model of the disease course by translating known biological mechanisms of virus-host interactions and immune responses into ordinary differential equations. We explicitly describe the dynamics of virus population, affected alveolar epithelial cells, and involved relevant immune cells comprising for example CD4+ T cells, CD8+ T cells, macrophages, natural killer cells and B cells.

Biomarkers troponin and procalcitonin in addition to CRB-65 enhance risk stratification in patients with community-acquired pneumonia.

Background: Community-acquired pneumonia (CAP) remains a leading cause of infectious disease mortality globally, necessitating intensive care unit (ICU) admission for ∼10% of hospitalised patients. Accurate prediction of disease severity facilitates timely therapeutic interventions.

Methods: Our study aimed to enhance the predictive capacity of the clinical CRB-65 score by evaluating eight candidate biomarkers: troponin T high-sensitive (TnT-hs), procalcitonin (PCT), N-terminal pro-brain natriuretic peptide, angiopoietin-2, copeptin, endothelin-1, lipocalin-2 and mid-regional pro-adrenomedullin.

[Stress profile of veterinarians in Switzerland: Young + female + employed = stressed?].

The impairment of mental health among veterinary professionals has raised public awareness in recent years. The driving forces include a serious gap in veterinary services - with less available veterinary colleagues, especially in rural areas - and a general lack of veterinary graduates. This article presents the results of our first Swiss survey on psychological well-being in the veterinary profession.

Feasibility of Intraoperative 3-Dimensional Speckle-Tracking Echocardiography in Patients Undergoing Surgical Aortic Valve Replacement: A Prospective Observational Pilot Study.

Objectives: To assess the feasibility of intraoperative 3-dimensional speckle-tracking-based myocardial deformation analysis for evaluation of twist, torsion, and strain using speckle tracking, and to investigate the immediate changes in these parameters after aortic valve replacement.

Design: Prospective observational study SETTING: Single-center study at a tertiary academic cardiac center PARTICIPANTS: Forty-nine patients undergoing minimally invasive surgical aortic valve replacement INTERVENTIONS: Acquisition of full-volume images of the left ventricle after induction of anesthesia and at the end of surgery using transesophageal echocardiography (TEE), and analysis of the datasets using 3D speckle-tracking-based myocardial deformation analysis (Tomtec Arena).

Measurements And Main Results: Of the 49 complete volume datasets, 30 (61%) had quality sufficient for speckle tracking.

Annotation of Functions of Sequences of Concern and Its Relevance to the New Biosecurity Regulatory Framework in the United States.

Introduction: Recent regulations from United States Government agencies reshape the screening of synthetic nucleic acids. These take a step away from categorizing hazard on the basis of "bad" taxa and invoke the function of the sequence in pathogenesis or intoxication. Ascertaining functions related to pathogenesis and distinguishing these from other molecular abilities that are unproblematic is not simple.

Relationship of proteins and subclinical cardiovascular traits in the population-based LIFE-Adult study.

Background And Aims: Understanding molecular processes of the early phase of atherosclerotic cardiovascular disease conditions is of utmost importance for early prediction and intervention measures.

Methods: We measured 92 cardiovascular-disease-related proteins (Olink, Cardiovascular III) in 2024 elderly participants of the population-based LIFE-Adult study. We analysed the impact of 27 covariables on these proteins including blood counts, cardiovascular risk factors and life-style-related parameters.

Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease.

Background: Translating findings from animal models to human disease is essential for dissecting disease mechanisms, developing and testing precise therapeutic strategies. The coronavirus disease 2019 (COVID-19) pandemic has highlighted this need, particularly for models showing disease severity-dependent immune responses.

Methods: Single-cell transcriptomics (scRNAseq) is well poised to reveal similarities and differences between species at the molecular and cellular level with unprecedented resolution.

Safe and effective in vivo delivery of DNA and RNA using proteolipid vehicles.

Genetic medicines show promise for treating various diseases, yet clinical success has been limited by tolerability, scalability, and immunogenicity issues of current delivery platforms. To overcome these, we developed a proteolipid vehicle (PLV) by combining features from viral and non-viral approaches. PLVs incorporate fusion-associated small transmembrane (FAST) proteins isolated from fusogenic orthoreoviruses into a well-tolerated lipid formulation, using scalable microfluidic mixing.

Machine learning predictive insight of water pollution and groundwater quality in the Eastern Province of Saudi Arabia.

This study presents an innovative approach for predicting water and groundwater quality indices (WQI and GWQI) in the Eastern Province of Saudi Arabia, addressing critical challenges of scarcity and pollution in arid regions. Recent literature highlights the increasing attention towards WQI based on water pollution index (WPI) and GWQI as essential tools for simplifying complex hydrogeological data, thereby facilitating effective groundwater management and protection. Unlike previous works, the present research introduces a novel hybrid method that integrates non-parametric kernel Gaussian learning (GPR), adaptive neuro-fuzzy inference system (ANFIS), and decision tree (DT) algorithms.

A meta-analysis of genome-wide studies of resilience in the German population.

Resilience is the capacity to adapt to stressful life events. As such, this trait is associated with physical and mental functions and conditions. Here, we aimed to identify the genetic factors contributing to shape resilience.

Assessing the influence of sleep and sampling time on metabolites in oral fluid: implications for metabolomics studies.

Introduction: The human salivary metabolome is a rich source of information for metabolomics studies. Among other influences, individual differences in sleep-wake history and time of day may affect the metabolome.

Objectives: We aimed to characterize the influence of a single night of sleep deprivation compared to sufficient sleep on the metabolites present in oral fluid and to assess the implications of sampling time points for the design of metabolomics studies.

Adapting and optimizing GCaMP8f for use in Caenorhabditis elegans.

Improved genetically encoded calcium indicators (GECIs) are essential for capturing intracellular dynamics of both muscle and neurons. A novel set of GECIs with ultrafast kinetics and high sensitivity was recently reported by Zhang et al. (2023).

Quality of life in patients with statin intolerance: a multicentre prospective registry study.

Background: Statin intolerance is associated with increased cardiovascular risk. Symptoms and patients' characteristics are incompletely known. We aimed to analyse the health-related quality of life (QOL) associated with statin intolerance.

HoloDIEP-Faster and More Accurate Intraoperative DIEA Perforator Mapping Using a Novel Mixed Reality Tool.

Background:  Microsurgical breast reconstruction using abdominal tissue is a complex procedure, in part, due to variable vascular/perforator anatomy. Preoperative computed tomography angiography (CTA) has mitigated this challenge to some degree; yet it continues to pose certain challenges. The ability to map perforators with Mixed Reality has been demonstrated in case studies, but its accuracy has not been studied intraoperatively.

Chemical Protein Crosslinking-Coupled Mass Spectrometry Reveals Interaction of LHCI with LHCII and LHCSR3 in .

The photosystem I (PSI) of the green alga associates with 10 light-harvesting proteins (LHCIs) to form the PSI-LHCI complex. In the context of state transitions, two LHCII trimers bind to the PSAL, PSAH and PSAO side of PSI to produce the PSI-LHCI-LHCII complex. In this work, we took advantage of chemical crosslinking of proteins in conjunction with mass spectrometry to identify protein-protein interactions between the light-harvesting proteins of PSI and PSII.

Suture Packaging as a Marker for Intraoperative Image Alignment in Augmented Reality on Mobile Devices.

Preoperative vascular imaging has become standard practice in the planning of microsurgical breast reconstruction. Currently, translating perforator locations from radiological findings to a patient's abdomen is often not easy or intuitive. Techniques using three-dimensional printing or patient-specific guides have been introduced to superimpose anatomy onto the abdomen for reference.