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MicroRNAs (miRNAs) are reported to play pivotal roles in reactive oxygen species (ROS)-induced endothelial cell injury and several studies have demonstrated the miRNA distribution in the mitochondria of various cells. However, very little is known about its changes and roles in ROS-induced endothelial cell injury. In the present study, we systematically revealed the distribution changes of miRNAs in mitochondria during ROS-induced endothelial cell injury and found that H2O2 obviously reduced the mitochondrial distribution of many miRNAs without affecting their expression levels in the whole endothelial cells. Most of these miRNAs showing reduced mitochondrial distribution were potentially involved in ROS-induced endothelial cell injury. MiR-381-3p was a typical representative of these miRNAs and its redistribution between mitochondria and cytosol regulated the network consisting of downstream molecules (P53, P21, CCND1, and MYC) by inhibiting its target genes (LRP6 and NFIA) to promote apoptosis and inhibit proliferation in endothelial cells. Our findings highlight the significance of redistribution of miRNAs between mitochondria and cytosol and improve our understanding of miRNA function regulation.Pediatric heart surgery remains challenging due to the small size of the pediatric heart, the severity of congenital abnormalities and the unique characteristics of each case. New tools and technologies are needed to tackle this enormous challenge. Tissue engineering strategies are focused on fabricating contractile heart muscle, ventricles, Fontan pumps and whole hearts, and a transplantable tissue equivalent has tremendous implications in pediatric heart surgery to provide functional cardiac tissue. This technology will prove to be a game-changer in the field of pediatric heart surgery and provide a novel toolkit for pediatric heart surgeons. This review will provide insight into the potential applications of tissue engineering technologies to replace lost contractile function in pediatric patients with heart abnormalities.Stromules are thin tubular extensions of the plastid compartment surrounded by the envelope membrane. A myriad of functions have been proposed for them, and they likely have multiple roles. Recent work has illuminated aspects of their formation, especially the important of microtubules in their movement and microfilaments in anchoring. A variety of biotic and abiotic stresses result in induction of stromule formation, and in recent years, stromule formation has been strongly implicated as part of the innate immune response. Both stromules and chloroplasts relocate to surround the nucleus when pathogens are sensed, possibly to supply signaling molecules such as reactive oxygen species. In addition to the nucleus, stromules have been observed in close proximity to other compartments such as mitochondria, endoplasmic reticulum, and the plasma membrane, potentially facilitating exchange of substrates and products to carry out important biosynthetic pathways. Much remains to be learned about the identity of proteins and other molecules released from chloroplasts and stromules and how they function in plant development and defense.

Influenza C virus causes mild respiratory diseases in humans. Previous studies suggested that the predominant hemagglutinin-esterase gene lineage circulating in children might be selected among the adult population, yet the prevalence of influenza C virus in adults has not been described.

To evaluate the frequency of influenza C virus infection in adults.

We performed hemagglutination inhibition assays of serum samples collected at periodic occupational medical checkups from employees of a hospital. A total of 679 serum samples were collected from 57 subjects who participated in biannual medical checkups between 2011 and 2016 as part of a longitudinal series. Titers of antibodies against the C/Kanagawa and C/Sao Paulo lineage viruses were detected.

Ten serum sample pairs from among the 57 subjects showed at least a four-fold increase in influenza C antibody titers. Samples from three subjects exhibited antibody titer increases for both the C/Kanagawa and C/Sao Paulo lineages, four subjects showed an increased titer against the C/Sao Paulo lineage, and three subjects showed an increased titer against the C/Kanagawa lineage. Half of the antibody titer increases for the C/Kanagawa lineage were detected in May 2014, while the increases for the C/Sao Paulo lineage were detected from 2011 to 2016.

The 5-year influenza C virus infection rate was estimated at 17.5 %. There were antibodies that cross-reacted with the C/Sao Paulo and C/Kanagawa lineages. The results suggest that C/Sao Paulo was the main lineage in the adult population of this area, with cocirculation of the C/Kanagawa lineage.

The 5-year influenza C virus infection rate was estimated at 17.5 %. There were antibodies that cross-reacted with the C/Sao Paulo and C/Kanagawa lineages. The results suggest that C/Sao Paulo was the main lineage in the adult population of this area, with cocirculation of the C/Kanagawa lineage.Nanobiomaterials (NBMs) are currently being tested in numerous biomedical applications, and their use is expected to grow rapidly in the near future. Many different types of nanomaterials are employed for a wide variety of different applications. Silver nanoparticles (nano-Ag) have been investigated for their antibacterial, antifungal, and osteoinductive properties to be used in catheters, wound healing, dental applications, and bone healing. Polymeric nanoparticles such as poly(lactic-co-glycolic acid) (PLGA) are mainly studied for their ability to deliver cancer drugs as the body metabolizes them into simple compounds. However, most of these applications are still in the development stage and unavailable on the market, meaning that information on possible consumption, material flows, and concentrations in the environment is lacking. We thus modeled a realistic scenario involving several nano-Ag and PLGA applications which are already in use or likely to reach the market soon. We assumed their full market peof nano-Ag, 400 µg/kg of PLGA, 33 µg/kg of Fe3O4PEG-PLGA, 0.007 µg/kg of MgHA-collagen, and 2.9 µg/kg of PLLA-Ag. PLGA exhibited the highest concentration in all environmental compartments except natural and urban soil, where nano-Ag showed the highest concentration. The results showed that the distribution of NBMs into different environmental and technical compartments is strongly dependent on their type of application.Persistent halogenated organic pollutants (HOPs) are a class of toxic chemicals, which may have adverse effects on fetuses via transplacental transfer from their mothers. Here, we review reported internal exposure levels of various HOPs (organochlorinated pesticides, polychlorinated biphenyls, polybrominated diphenyl ethers, short- and medium-chain chlorinated paraffins, and per- and poly-fluoroalkyl substances) in placenta, and both maternal and umbilical cord sera. We also present analyses of the transplacental transfer and placental distribution characteristics of each class of compounds, and discuss effects of several factors on the transfer and accumulation efficiencies of HOPs, as well as the main mechanisms of HOPs' transfer across the placental barrier. Reported compound-specific transplacental transfer efficiencies and distribution efficiencies, expressed as umbilical cordmaternal serum and placentalmaternal serum concentration ratios (RCM and RPM, respectively), are summarized. Average published RCM placenta may also facilitate or hinder their transport. Overall, the review highlights clear gaps in our understanding of mechanisms involved in HOPs' transplacental transport.

Exposure to organophosphate flame retardants and plasticizers (PFRs) is commonly estimated by measuring biomarker concentrations in spot urine samples. However, their concentrations in urine can vary greatly over time due to short biological half-lives and variable exposure, potentially leading to exposure misclassification. In this study, we examined the within- and between-individual and within- and between-day variability of PFR metabolites in spot and 24-hour pooled urine samples during five consecutive days.

We collected all spot urine samples from 10 healthy adults for 5days. On one additional day, we collected 24-hour pooled urine samples. Samples were analyzed by solid-phase extraction coupled to high-performance liquid chromatography tandem mass spectrometry. We calculated intraclass correlation coefficients (ICCs) to assess the reproducibility of metabolite concentrations in morning void and spot samples.

Fair-to-good reproducibility was observed for serial measurements of bis(1,3-dichloro-2-pthe individual toxicokinetic properties of the investigated PFRs.

The between-day variability was minor compared to variability observed within the same day, which suggests that collecting multiple samples could reduce exposure missclassification. Differences in the observed between- and within-individual variance were compound specific and related to both the nature of the exposure (e.g., diet vs other exposure routes, multiple sources) and the individual toxicokinetic properties of the investigated PFRs.

The use of several stains during histology sample preparation can be useful for fusing complementary information about different tissue structures. It reveals distinct tissue properties that combined may be useful for grading, classification, or 3-D reconstruction. Nevertheless, since the slide preparation is different for each stain and the procedure uses consecutive slices, the tissue undergoes complex and possibly large deformations. Therefore, a nonrigid registration is required before further processing. The nonrigid registration of differently stained histology images is a challenging task because (i) the registration must be fully automatic, (ii) the histology images are extremely high-resolution, (iii) the registration should be as fast as possible, (iv) there are significant differences in the tissue appearance, and (v) there are not many unique features due to a repetitive texture.

In this article, we propose a deep learning-based solution to the histology registration. We describe a registratiowhom the processing time of traditional, iterative methods in unacceptable. We provide free access to the software implementation of the method, including training and inference code, as well as pretrained models. Since the ANHIR dataset is open, this makes the results fully and easily reproducible.

Deep learning enables tremendous progress in medical image analysis. One driving force of this progress are open-source frameworks like TensorFlow and PyTorch. LY2780301 nmr However, these frameworks rarely address issues specific to the domain of medical image analysis, such as 3-D data handling and distance metrics for evaluation. pymia, an open-source Python package, tries to address these issues by providing flexible data handling and evaluation independent of the deep learning framework.

The pymia package provides data handling and evaluation functionalities. The data handling allows flexible medical image handling in every commonly used format (e.g., 2-D, 2.5-D, and 3-D; full- or patch-wise). Even data beyond images like demographics or clinical reports can easily be integrated into deep learning pipelines. The evaluation allows stand-alone result calculation and reporting, as well as performance monitoring during training using a vast amount of domain-specific metrics for segmentation, reconstruction, and regression.

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