Extracorporal elimination is used for selective removal of LDL-cholesterol in severe hypercholesterolaemias. Tests are still going on to find more reliable markers which would sufficiently determine the intensity of the therapy immediately after completion of the procedure, in order to attenuate atherosclerosis activity. According to some literature data such a marker may be platelet aggregability. However, this marker carried out by standard methods has shown to be unreliable. The method was modified (by using various ADP dilutions for aggregation stimulation) and only then changes in aggregation could be observed immediately after completion of the procedure, namely, if there is a rapid drop in cholesterol concentration (of 6 mmol/l or more). Presently, this modification seems to be a suitable marker to determine the intensity of therapy.
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http://dx.doi.org/10.1016/j.transci.2003.11.002 | DOI Listing |
J Am Coll Cardiol
November 2024
British Heart Foundation Centre of Research Excellence, the University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Background: Myocardial fibrosis is a key healing response after myocardial infarction driven by activated fibroblasts. Gallium-68-labeled fibroblast activation protein inhibitor ([Ga]-FAPI) is a novel positron-emitting radiotracer that binds activated fibroblasts.
Objectives: The aim of this study was to investigate the intensity, distribution, and time-course of fibroblast activation after acute myocardial infarction.
Viruses
December 2024
National Bio- and Agro-Defense Facility, Agricultural Research Services, United States Department of Agriculture, Manhattan, KS 66506, USA.
During the past 25 years, vesicular stomatitis virus (VSV) has produced multiple outbreaks in the US, resulting in the emergence of different viral lineages. Currently, very little is known about the pathogenesis of many of these lineages, thus limiting our understanding of the potential biological factors favoring each lineage in these outbreaks. In this study, we aimed to determine the potential phenotypic differences between two VSV Indiana (VSIV) serotype epidemic strains using a pig model.
View Article and Find Full Text PDFViruses
December 2024
State Public Health Laboratory, Zapopan 45170, Jalisco, Mexico.
The coronavirus disease 2019 (COVID-19) pandemic profoundly disrupted the epidemiology of respiratory viruses, driven primarily by widespread non-pharmaceutical interventions (NPIs) such as social distancing and masking. This eight-year retrospective study examines the seasonal patterns and incidence of influenza virus, respiratory syncytial virus (RSV), and other respiratory viruses across pre-pandemic, pandemic, and post-pandemic phases in Jalisco, Mexico. Weekly case counts were analyzed using an interrupted time series (ITS) model, segmenting the timeline into these three distinct phases.
View Article and Find Full Text PDFSensors (Basel)
December 2024
CeMOS Research and Transfer Center, Mannheim University of Applied Sciences, 68163 Mannheim, Germany.
Advancements in Raman light sheet microscopy have provided a powerful, non-invasive, marker-free method for imaging complex 3D biological structures, such as cell cultures and spheroids. By combining 3D tomograms made by Rayleigh scattering, Raman scattering, and fluorescence detection, this modality captures complementary spatial and molecular data, critical for biomedical research, histology, and drug discovery. Despite its capabilities, Raman light sheet microscopy faces inherent limitations, including low signal intensity, high noise levels, and restricted spatial resolution, which impede the visualization of fine subcellular structures.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea.
Several approaches have been developed to generate synthetic object points using real LiDAR point cloud data for advanced driver-assistance system (ADAS) applications. The synthetic object points generated from a scene (both the near and distant objects) are essential for several ADAS tasks. However, generating points from distant objects using sparse LiDAR data with precision is still a challenging task.
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