• Michaelsen Romero opublikował 1 rok, 8 miesięcy temu

    Epilepsy is a neurological disorder characterized by a hyperexcitable state in neurons from different brain regions. Much is unknown about epilepsy and seizures development, depicting a growing field of research. Animal models have provided important clues about the underlying mechanisms of seizure-generating neuronal circuits. Mammalian complexity still makes it difficult to define some principles of nervous system function, and non-mammalian models have played pivotal roles depending on the research question at hand. Mollusks and the Helix land snail have been used to study epileptic-like behavior in neurons. Neurons from these organisms confer advantages as single-cell identification, isolation, and culture, either as single cells or as physiological relevant monosynaptic or polysynaptic circuits, together with amenability to different protocols and treatments. This review’s purpose consists in presenting relevant papers in order to gain a better understanding of Helix neurons, their characteristics, uses, and capabilities for studying the fundamental mechanisms of epileptic disorders and their treatment, to facilitate their more expansive use in epilepsy research.Cancer has long been a leading cause of death. The primary tumor, however, is not the main cause of death in more than 90% of cases. It is the complex process of metastasis that makes cancer deadly. The invasion metastasis cascade is the multi-step biological process of cancer cell dissemination to distant organ sites and adaptation to the new microenvironment site. Unraveling the metastasis process can provide great insight into cancer death prevention or even treatment. Microfluidics is a promising platform, that provides a wide range of applications in metastasis-related investigations. Cell culture microfluidic technologies for in vitro modeling of cancer tissues with fluid flow and the presence of mechanical factors have led to the organ-on-a-chip platforms. Moreover, microfluidic systems have also been exploited for capturing and characterization of circulating tumor cells (CTCs) that provide crucial information on the metastatic behavior of a tumor. We present a comprehensive review of the recent developments in the application of microfluidics-based systems for analysis and understanding of the metastasis cascade from a wider perspective.This mini-review, mainly based on our resonance Raman studies on the structural origin of cooperative O2 binding in human adult hemoglobin (HbA), aims to answering why HbA is a tetramer consisting of two α and two β subunits. Here, we focus on the Fe-His bond, the sole coordination bond connecting heme to a globin. The Fe-His stretching frequencies reflect the O2 affinity and also the magnitude of strain imposed through globin by inter-subunit interactions, which is the origin of cooperativity. Cooperativity was first explained by Monod, Wyman, and Changeux, referred to as the MWC theory, but later explained by the two tertiary states (TTS) theory. Here, we related the higher-order structures of globin observed mainly by vibrational spectroscopy to the MWC theory. It became clear from the recent spectroscopic studies, X-ray crystallographic analysis, and mutagenesis experiments that the Fe-His bonds exhibit different roles between the α and β subunits. The absence of the Fe-His bond in the α subunit in some mutant and artificial Hbs inhibits T to R quaternary structural change upon O2 binding. However, its absence from the β subunit in mutant and artificial Hbs simply enhances the O2 affinity of the α subunit. Accordingly, the inter-subunit interactions between α and β subunits are nonsymmetric but substantial for HbA to perform cooperative O2 binding.Inter and multidisciplinary collaborations are essential to achieve significant improvements in science and technology. Nuclear Magnetic Resonance (NMR) is a versatile technique that permits connecting different scientific disciplines. Therefore, its implementation and extension in several research fields will help to improve Costa Rican Research and Development. This Commentary intends to present the importance of NMR for Costa Rican science, by numbering some solid-state NMR applications that could be useful and attainable for the country, and by highlighting the advances in the use of hyperpolarization methods.Live-cell fluorescence spectral imaging is an evolving modality of microscopy that uses specific properties of fluorophores, such as excitation or emission spectra, to detect multiple molecules and structures in intact cells. The main challenge of analyzing live-cell fluorescence spectral imaging data is the precise quantification of fluorescent molecules despite the weak signals and high noise found when imaging living cells under non-phototoxic conditions. Beyond the optimization of fluorophores and microscopy setups, quantifying multiple fluorophores requires algorithms that separate or unmix the contributions of the numerous fluorescent signals recorded at the single pixel level. This review aims to provide both the experimental scientist and the data analyst with a straightforward description of the evolution of spectral unmixing algorithms for fluorescence live-cell imaging. We show how the initial systems of linear equations used to determine the concentration of fluorophores in a pixel progressively evolved into matrix factorization, clustering, and deep learning approaches. We outline potential future trends on combining fluorescence spectral imaging with label-free detection methods, fluorescence lifetime imaging, and deep learning image analysis.Optical microscopy has emerged as a key driver of fundamental research since it provides the ability to probe into imperceptible structures in the biomedical world. For the detailed investigation of samples, a high-resolution image with enhanced contrast and minimal damage is preferred. To achieve this, an automated image analysis method is preferable over manual analysis in terms of both speed of acquisition and reduced error accumulation. In this regard, deep learning (DL)-based image processing can be highly beneficial. The review summarises and critiques the use of DL in image processing for the data collected using various optical microscopic techniques. In tandem with optical microscopy, DL has already found applications in various problems related to image classification and segmentation. It has also performed well in enhancing image resolution in smartphone-based microscopy, which in turn enablse crucial medical assistance in remote places.The observation that membrane capacitance increases with temperature has led to the development of new methods of neuronal stimulation using light. The optocapacitive effect refers to a light-induced change in capacitance produced by the heating of the membrane through a photothermal effect. This change in capacitance manifests as a current, named optocapacitive current that depolarizes cells and therefore can be used to stimulate excitable tissues. Here, we discuss how optocapacitance arises from basic membrane properties, the characteristics of the optocapacitive current, its use for neuronal stimulation, and the challenges for its application in vivo.

    Gastrointestinal perforation is a surgical emergency that is associated with a high mortality rate and requires special care. During the pandemic, there has been competition with COVID-19 patients for health resources, especially ICU bed availability. The primary aim of our study was to compare the incidence of gastrointestinal perforation during the COVID-19 pandemic, with cases registered before the pandemic.

    A retrospective, observational, single center, cohort study was conducted that included patients that underwent emergency surgery for gastrointestinal perforation in the periods during the pandemic (6 months) and before the pandemic (12 months). Sociodemographic characteristics, comorbidities, duration of hospital and ICU stay, status at discharge, and perforation site were compared.

    The study included 67 subjects (33 in the pre-pandemic period and 34 in the pandemic period). There were no significant differences regarding sex, age, or comorbidity. The perforation rate per emergency intervention was 4-times higher during the pandemic. There was an increase in the number of patients that were foreigners (4 [11%]) and nonresidents (6, [17%]). ICU admissions decreased (6 [19%]) but ICU stay increased to 137 h. Hospital stay increased by 5 days and delay in care increased 4.5 h. The number of deaths was higher (from 5 [15.2%] to 10 [29.4%]). Four patients with perforations were positive for COVID-19, were admitted to the ICU, and died.

    During the COVID-19 pandemic there was an increase in the incidence of gastrointestinal perforations at our healthcare system area; symptoms were more advanced, and mortality was higher.

    During the COVID-19 pandemic there was an increase in the incidence of gastrointestinal perforations at our healthcare system area; symptoms were more advanced, and mortality was higher.Introduction Bonding to crystalline zirconia is currently a challenge. Properly cured adhesives are crucial to optimize this bond, and that in turn is influenced by the initial mobility of the system, as well as by the reactivity of the initiators. Aim This study aimed to characterize adhesives containing monomer mixtures of different viscosities and double and triple photoinitiator systems; and to evaluate the bonding to Y-TZP zirconia, when adhesives were light-activated with monowave or polywave light-curing units (LCU). Materials and methods Adhesives were formulated at a 11 weight proportion of Bis-GMA/TEGDMA or Bis-GMA/Bis-EMA. To these mixtures 0.5 wt% of CQ, 0.5-1.0 wt% of DABE, 0.5-1.0 wt% of DPIHP, or 0.5-1.0 wt% of TAS-Sb were added and used as photoinitiator systems. A total of ten adhesives were prepared. Resin composite cylinders were cemented on zirconia slices and 6000 thermal cycles were performed. Degree of conversion (DC), sorption (SO) and solubility (SL) after 7 days of water storage, and microshear bond strength (µSBS) were evaluated. Data were analyzed with three-way ANOVA and Tukey’s HSD (α = 0.05). Results Bis-GMA/Bis-EMA combined with either CQ/DABE or CQ/DABE/TAS-Sb presented the highest DC, and no significant differences were observed for LCUs (p = .298). CQ/DABE  less then  CQ/DABE/TAS-Sb ≈ CQ/DABE/DPIHP and the polywave LCU showed smaller overall SO (p  less then  .05). Bis-GMA/TEGDMA with CQ/DABE cured with the polywave LCU presented the lowest SO. SL varied as follows CQ/DABE/TAS-Sb  less then  CQ/DABE/DPIHP  less then  CQ/DABE (p  less then  .001). For µSBS, only the factor photoinitiator system was significant (p = .045). All mean values were above 30 MPa, with higher values being observed for BIS-GMA/TEGDMA and CQ/DABE. Conclusion It can be concluded that the adhesive containing CQ/DABE/TAS-Sb as coinitiator of Bis-GMA/Bis-EMA mixtures produced a material with higher DC and lower SL, while bond strength values were similar to the ones obtained by CQ/DABE.The rule of social distancing, coupled with the closing down of ethnic enclaves, has led immigrants to become isolated from their ethnic groups. In this study, we investigate the increasing role of ethnic online communities in immigrants’ information-seeking behaviors during the COVID-19 pandemic. An analysis of 726 posts in MissyUSA reveals how an ethnic online community helps Korean immigrant women deal with the pandemic, reflecting the essence of a community amid societal lockdown. The findings suggest that these online communities supplement immigrant women’s medical knowledge, build non-medical knowledge helpful to disadvantaged immigrants, and offer transnational knowledge regarding medical systems, products, and travel. These results provide evidence of how ethnic online communities promote immigrants’ ongoing incorporation into society through the development of domestically and transnationally engaged medical and non-medical knowledge.

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