223 research outputs found

    Endothelial cyclooxygenase-1 paradoxically drives local vasoconstriction and atherogenesis despite underpinning prostacyclin generation

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    Endothelial cyclooxygenase-1–derived prostanoids, including prostacyclin, have clear cardioprotective roles associated with their anti-thrombotic potential but have also been suggested to have paradoxical pathological activities within arteries. To date it has not been possible to test the importance of this because no models have been available that separate vascular cyclooxygenase-1 products from those generated elsewhere. Here, we have used unique endothelial-specific cyclooxygenase-1 knockout mice to show that endothelial cyclooxygenase-1 produces both protective and pathological products. Functionally, however, the overall effect of these was to drive pathological responses in the context of both vasoconstriction in vitro and the development of atherosclerosis and vascular inflammation in vivo. These data provide the first demonstration of a pathological role for the vascular cyclooxygenase-1 pathway, highlighting its potential as a therapeutic target. They also emphasize that, across biology, the role of prostanoids is not always predictable due to unique balances of context, products, and receptors

    Soil pollution assessment in the Baia Mare area after partial closure of ore processing activities

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    The paper presents the assessment of the soil pollution with Cu, Pb and Zn in the Baia Mare area, historically polluted with metals resulted from mining and processing of non-ferrous ores. Despite the closure of mines and reducing the activity related to ore processing, Baia Mare is still a highly polluted site with Pb, Cu and Zn. The Tessier extraction scheme carried out on soil samples recently collected revealed the residual fraction as dominant for all three metals, followed by the reducible fraction bound to Fe and Mn oxides. The exchangeable fraction, considered as the most mobile fraction and that bound to carbonates, which can be mobilized under acidic conditions, were lower. The presence of the oxidisable metal fraction was also observed

    Prostate cancer in Asia: a collaborative report

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    Evaluation of novel platinum(II) based AIE compound-encapsulated mesoporous silica nanoparticles for cancer theranostic application

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    Advanced biomedical research has established that cancer is a multifactorial disorder which is highly heterogeneous in nature and responds differently to different treatment modalities, due to which constant monitoring of therapy response is becoming extremely important. To accomplish this, different theranostic formulations have been evaluated. However, most of them are found to suffer from several limitations extending from poor resolution, radiation damage, to high costs. In order to develop a better theranostic modality, we have designed and synthesized a novel platinum(II)-based 'aggregation induced emission' (AIE) molecule (named BMPP-Pt) which showed strong intra-cellular fluorescence and also simultaneously exhibited potent cytotoxic activity. Due to this dual functionality, we wanted to explore the possibility of using this compound as a single molecule based theranostic modality. This compound was characterized using elemental analysis, NMR and IR spectroscopy, mass spectrometry and single crystal X-ray structure determination. BMPP-Pt was found to exhibit a high AIE property with emission maxima at 497 nm. For more efficient cancer cell targeting, BMPP-Pt was encapsulated into mesoporous silica nanoparticles (Pt-MSNPs) and the MSNPs were further surface modified with an anti-EpCAM aptamer (Pt-MSNP-E). Pt-MSNPs exhibited higher intracellular fluorescence compared to free BMPP-Pt, though both of them induced a similar degree of cell death via the apoptosis pathway, possibly via cell cycle arrest in the G1 phase. Anti-EpCAM aptamer modification was found to increase both cytotoxicity and intracellular fluorescence compared to unmodified MSNPs. Our study showed that EpCAM functionalized BMPP-Pt loaded MSNPs can efficiently internalize and induce apoptosis of cancer cells as well as show strong intracellular fluorescence. This study provides clues towards the development of a potential single compound based theranostic modality in future

    Landscape dynamics analysis in Iasi Metropolitan Area (Romania) using remote sensing data

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    The present paper focuses on the observation and quantification of land cover changes in Iasi Metropolitan Area during 1993-2009. The analysis is centered upon the built-up space dynamics and includes the detection of its extension directions and the measurement of its structural changes by landscape metrics. In order to obtain the land cover data, some remote sensing images were processed by supervised classification and Normalized Difference Vegetation Index (NDVI). In the end of the study, a synthetic statistical analysis of the change dynamics is performed at commune level, in order to compare the administrative units by the intensity of land cover dynamics

    Spatio-temporal vegetation recuperation after a grassland fire in Lithuania

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    The aim of this work is to study the spatio-temporal effects of a grassland fire in Lithuania. Immediately after the fire, a experimental plot was designed in a east-faced slope. Vegetation cover and height were measured 10, 17, 31 and 46 days after the fire (vegetation cover was only measured until 31 days after the fire because in the last measurement campaign the plot was completely covered). The results showed that vegetation recovered very fast. Ten days after the fire vegetation cover and height distribution were heterogeneous, decreasing with the time due to vegetation spread. Vegetation recovered was specially observed between 17 and 31 days after the fire due vegetation recuperation. This increase might reduce the soil vulnerability to erosion However, the spatial structure of this recuperation was different in both variables, and spatial autocorrelation was higher in vegetation cover than vegetation in height in all measurements. Despite these differences, vegetation cover and height values were higher in the bottom part of the plot that was attributed to lower fire severity and ash and nutrient transport.Ministerio de Ciencia e Innovación CGL2010-21670-C02-0

    Elevated Endothelin-1 in Intradialytic Hypertension

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    Objective: To determine the relative change in endothelin-1 (ET-1) during hemodialysis procedure in Stage Five Dialysis-Dependent Chronic Kidney Disease (CKD-5D)patients with and without intradialytic hypertension (IDH).Methods: This was a cross-sectional, observational study involving 40 CKD-5D patients who received two hemodialysis per week for at least three months at the dialysis unit of Dr. Hasan Sadikin Hospital General Bandung, Indonesia during September 2016. Subjects were divided two groups: with IDH (n=20) and without IDH (n=20). Plasma ET-1 level was examined before and after hemodialysis.Results: There was a significant elevation of ET-1 level (mean±SD pg/mL) between pre- and post-dialysis state in patients with IDH (3.33±1.28 vs. 3.84±1.75; relative changes: 15.32%, p=0.013). No change was observed in patients without IDH (3.99±2.30 vs. 4.38±1.81; relative changes: 9.77% p=0.083). The post-dialysis absolute ET-1 level was significantly lower in CKD-5D patients with IDH (3.84±1.75 vs. 4.38±1.81; p=0.024).Conclusion: There was a significant elevation of ET-1 level in CKD-5D patients with IDH during hemodialysis procedure at the dialysis unit of Dr. Hasan Sadikin General Hospital Bandung

    Production of lactic and acetic acids during fermentation of milk fortified with kiwi juice using Saccharomyces boulardii and lactobacilli

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    Purpose: To investigate the synergistic effect of Saccharomyces boulardii and lactobacilli on lactic and acetic acids produced during fermentation of milk fortified with kiwi juice, relative to fermentation of unfortified milk. Methods: Skimmed milk was fortified with kiwi juice (4 % v/v) and fermented for 12 h at 37 °C by a combination of S. boulardii and lactobacilli strains. Lactic and acetic acids were determined using gas chromatography-mass spectrometry (GS-MS). Results: The presence of kiwi juice in the milk stimulated the production of lactic (1.35 g/100g) and acetic (0.29 mg/g) by S. boulardii in the absence of lactobacilli. When S. boulardii was inoculated with Lb. casei 20975, the production of lactic acid and acetic acid increased to 2.36 g/100 g and 0.71 mg/g, respectively. Furthermore, acid production increased when Lb. plantarum RS (35-11), Lb. casei LCS, and Lb. plantarum JXJ (6 - 12) were inoculated into milk free of kiwi juice in which S. boulardii was grown. Saccharomyces boulardii resulted in marginal production of acids by Lb. fermentum F9. Conclusion: These results show that acid production is positively affected by some lactobacilli strains in the milk whether fortified with kiwi juice or free of this juice. However, fermentation of these formulations for a period longer than 6 h may result in losses in acid yield

    Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering

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    Existing deep learning models have achieved promising performance in recognizing skin diseases from dermoscopic images. However, these models can only recognize samples from predefined categories, when they are deployed in the clinic, data from new unknown categories are constantly emerging. Therefore, it is crucial to automatically discover and identify new semantic categories from new data. In this paper, we propose a new novel class discovery framework for automatically discovering new semantic classes from dermoscopy image datasets based on the knowledge of known classes. Specifically, we first use contrastive learning to learn a robust and unbiased feature representation based on all data from known and unknown categories. We then propose an uncertainty-aware multi-view cross pseudo-supervision strategy, which is trained jointly on all categories of data using pseudo labels generated by a self-labeling strategy. Finally, we further refine the pseudo label by aggregating neighborhood information through local sample similarity to improve the clustering performance of the model for unknown categories. We conducted extensive experiments on the dermatology dataset ISIC 2019, and the experimental results show that our approach can effectively leverage knowledge from known categories to discover new semantic categories. We also further validated the effectiveness of the different modules through extensive ablation experiments. Our code will be released soon.Comment: 10 pages, 1 figure,Accepted by miccai 202

    Effects of the modification of gas diffusion electrodes by organic redox catalysts for hydrogen peroxide electrosynthesis

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    This paper reports a comparative study of the electrochemical performance of in situ hydrogen peroxide electrogeneration on gas diffusion electrodes modified by organic redox catalysts 2-ethylanthraquinone, 2-terc-butylanthraquinone and azobenzene in medium of 0.1 mol L-1 H2SO4 plus 0.1 mol L-1 K2SO4, pH = 1. Hydrogen peroxide generation proved strongly dependent on the applied potential and on the concentration of added catalysts. Electrode modifications led to a significant increase in H2O2 yield (30%) reaching 850 mg L-1, and the overpotential for oxygen reduction shifted to less negative values (400 mV vs Ag/AgCl for electrodes modified by quinones and 300 mV vs Ag/AgCl for electrodes modified by azobenzene) compared to noncatalyzed gas diffusion electrodes, resulting in reduced energy consumption of 596.5 to 232.4 kWh kg-1. The results indicated that the best electrode for H2O2 electrogeneration is the gas diffusion electrode modified with 10% of 2-ethylanthraquinone, offering the best cost to benefit ratio.Este trabalho apresenta um estudo comparativo da eficiência eletroquímica na eletrogeração de peróxido de hidrogênio in situ usando eletrodos da difusão gasosa modificados com os catalisadores orgânicos redox: 2-etilantraquinona, 2-terc-butilantraquinona e azobenzeno em meio de 0,1 mol L-1 H2SO4 + 0,1 mol L-1 K2SO4, pH = 1. A produção de peróxido de hidrogênio está diretamente relacionada ao potencial aplicado e a concentração dos catalisadores adicionados. A modificação dos eletrodos resultou em um aumento significativo no rendimento de H2O2 (30%) alcançando 850 mg L-1 e o sobrepotencial da reação de redução do oxigênio foi deslocado para valores menos negativos (400 mV vs Ag/AgCl para os eletrodos modificados com quinonas e 300 mV vs. Ag/AgCl para os eletrodos modificados com azobenzeno) comparado ao eletrodo de difusão gasosa não modificado, reduzindo o consumo de energia de 596,5 para 232,4 kWh kg-1. Os resultados indicaram que o melhor eletrodo para a eletrogeração do H2O2 é o eletrodo de difusão gasosa modificado com 10% de 2-etilantraquinona, o qual apresentou a melhor relação custo/benefício.643650Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP
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