12 research outputs found

    Автоматизация документооборота средствами САБ ИРБИС64

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    The experience of using IRBIS64 functionality for designing a database and developing technology of regulatory documents storage and update at the Research Medical Library of Siberian State Medical University is examined. The preparatory steps are described; the so-called archival flow of quality management documents is analyzed. The operating stages for special module intended specifically for the institutional current document flow are revealed.Представлен пример использования возможностей Системы автоматизации библиотек ИРБИС64 по организации базы данных и созданию технологии работы для хранения и актуализации нормативных документов Научно-медицинской библиотеки Сибирского государственного медицинского университета. Изложена подготовительная работа; рассмотрен так называемый архивный поток документов системы менеджмента качества. Показаны этапы работы специального модуля, созданного для документов оперативного потока организации

    Steatosis drives monocyte-derived macrophage accumulation in human metabolic dysfunction-associated fatty liver disease

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    BACKGROUND & AIMS: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a common complication of obesity with a hallmark feature of hepatic steatosis. Recent data from animal models of MAFLD have demonstrated substantial changes in macrophage composition in the fatty liver. In humans, the relationship between liver macrophage heterogeneity and liver steatosis is less clear. METHODS: Liver tissue from 21 participants was collected at time of bariatric surgery and analysed using flow cytometry, immunofluorescence, and H&E microscopy. Single-cell RNA sequencing was also conducted on a subset of samples (n = 3). Intrahepatic triglyceride content was assessed via MRI and tissue histology. Mouse models of hepatic steatosis were used to investigate observations made from human liver tissue. RESULTS: We observed variable degrees of liver steatosis with minimal fibrosis in our participants. Single-cell RNA sequencing revealed four macrophage clusters that exist in the human fatty liver encompassing Kupffer cells and monocyte-derived macrophages (MdMs). The genes expressed in these macrophage subsets were similar to those observed in mouse models of MAFLD. Hepatic CD14 CONCLUSIONS: The human liver in MAFLD contains macrophage subsets that align well with those that appear in mouse models of fatty liver disease. Recruited myeloid cells correlate well with the degree of liver steatosis in humans. MdMs appear to participate in lipid uptake during early stages of MALFD. IMPACT AND IMPLICATIONS: Metabolic dysfunction associated fatty liver disease (MAFLD) is extremely common; however, the early inflammatory responses that occur in human disease are not well understood. In this study, we investigated macrophage heterogeneity in human livers during early MAFLD and demonstrated that similar shifts in macrophage subsets occur in human disease that are similar to those seen in preclinical models. These findings are important as they establish a translational link between mouse and human models of disease, which is important for the development and testing of new therapeutic approaches for MAFLD

    Transcriptomic atlas and interaction networks of brain cells in mouse CNS demyelination and remyelination

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    Demyelination is a hallmark of multiple sclerosis, leukoencephalopathies, cerebral vasculopathies, and several neurodegenerative diseases. The cuprizone mouse model is widely used to simulate demyelination and remyelination occurring in these diseases. Here, we present a high-resolution single-nucleus RNA sequencing (snRNA-seq) analysis of gene expression changes across all brain cells in this model. We define demyelination-associated oligodendrocytes (DOLs) and remyelination-associated MAF

    The effectiveness of the use of Aminozol and Lebozol on the yield of winter garlic

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    This article discusses the results of an experiment to grow hardneck garlic in the Moscow region. The study used Russian hardneck garlic varieties of Odintsovsky Jubilee and Streletz and found that they had high flavor qualities and were recommended for cultivation in the non-black soil zone of Russia. The experiments were conducted in 2021-2022 at the «Horticulture and vegetable growing» of Gardening and Horticulture named after V.I. Edelstein. The results showed that the double application of organic fertilizer of Aminozol and Lebozol-Full Care during the vegetative period led to an increase in yield for all tested varieties. On the Odintsovsky Jubilee variety, the organic fertilizer Aminozol had a positive effect on increasing the average mass of bulbs by 26.9% compared to the control and 13% compared to the treatment with Lebozol-Full Care. The study also noted an increase in the average mass of bulbs due to the mass of each clove. The variety Streltets when treated with Aminozol and Lebozol-Full Care fertilizers increased the mass of the bulb by 17.7% and 10.9% compared to the control. Research has established a positive effect of organic Aminozol Lebozol - Full Care fertilizers on the productivity and yield of winter garlic

    Erythromycin Resistance in Borrelia burgdorferi

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    Susceptibility testing of laboratory strains and clinical isolates of Borrelia burgdorferi indicates that resistance to erythromycin is present in them. Evaluation of the MICs, minimal bactericidal concentrations, and kinetics of bacterial killing of erythromycin suggests that this resistance is increased by preexposure to the antibiotic, is dependent on inoculum size, and may be the result of selection of subpopulations of bacterial cells with increased resistance

    Novel Antibiotic-Resistance Markers in pGK12-Derived Vectors for Borrelia Burgdorferi

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    Extension of molecular genetics studies in Borrelia burgdorferi has been hampered by a lack of a variety of antibiotic resistance selective markers. Such markers are critical for isolation of B. burgdorferi strains with multiple mutants, for complementation with different cloning vectors, and for methods such as negative selection and reporter genes. To remedy this lack, resistance to various antibiotics of non-infectious (B31, 297) and infectious (N40) B. burgdorferi strains was examined and vectors incorporating appropriate antibiotic resistance genes as selective markers were developed. Minimal inhibitory concentrations for growth of B. burgdorferi on plates and in liquid media for aminoglycosides (kanamycin, gentamycin, sisomycin, amikacin, spectinomycin, neomycin), macrolides-lincosamids (erythromycin, lincomycin), coumarin derivatives (coumermycin A(1), novobiocin), glycopeptides (vancomycin, ristocetin), peptides (bacitracin, cycloserine), and chloramphenicol were found to differ significantly. There were also striking differences in resistance to these antibiotics between non-infectious and infectious B. burgdorferi strains. Antibiotic-resistance genes aph(3\u27)-IIIa from Streptococcus faecalis, aad9 from Staphylococcus aureus Tn554, linA\u27 from Staphylococcus aureus, and aac(3)-VIa from Enterobacter cloacae (conferring resistance to kanamycin, spectinomycin, lincomycin, and gentamycin/sisomycin, respectively) were subcloned either with their own promoters or under the control of the B. burgdorferi flaB promoter into pGK12 or its derivative pED1 to develop new cloning vectors for B. burgdorferi with the rationale that the absence of homologous regions between derived recombinant plasmids lacking the flaB promoter and the B. burgdorferi genome would permit avoidance of possible recombination with target DNA. Resistance to the corresponding antibiotic was conferred by vectors containing aph(3\u27)-IIIa, aad9, linA\u27 or aac(3)-VIa whether under the control of their own promoters or under the control of the flaB promoter. We conclude that these markers can be used for genetic study of B. burgdorferi and suggest they will be an important addition to the previously used coumermycin A(1), erythromycin and kanamycin in these studies

    Artificial Neural Networks for Predicting Food Antiradical Potential

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    Using an artificial neural network (ANN), the values of the antiradical potential of 1315 items of food and agricultural raw materials were calculated. We used an ANN with the structure of a “multilayer perceptron” (MLP) and with the hyberbolic tangent (Tanh) as an activation function. Values reported in the United States Food and Nutrient Database for Dietary Studies (FNDDS) were taken as input to the analysis. When training the ANN, 60 parameters were used, such as the content of plastic substances, food calories, the amount of mineral components, vitamins, the composition of fatty acids and additional substances presented in this database. The analysis revealed correlations, namely, a direct relationship between the value of the antiradical potential (ARP) of food and the concentration of dietary fiber (r = 0.539) and a negative correlation between the value of ARP and the total calorie content of food (r = −0.432) at a significance level of p < 0.001 for both values. The average ARP value for 10 product groups within the 95% CI (confidence interval) was ≈23–28 equivalents (in terms of ascorbic acid) per 1 g of dry matter. The study also evaluated the range of average values of the daily recommended intake of food components (according to Food and Agriculture Organization—FAO, World Health Organization—WHO, Russia and the USA), which within the 95% CI, amounted to 23.41–28.98 equivalents per 1 g of dry weight. Based on the results of the study, it was found that the predicted ARP values depend not only on the type of raw materials and the method of their processing, but also on a number of other environmental and technological factors that make it difficult to obtain accurate values
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