111 research outputs found

    StopCOVID cohort : An observational study of 3,480 patients admitted to the Sechenov University hospital network in Moscow city for suspected COVID-19 infection

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    Β© 2020 Oxford University Press. This is a pre-copyedited, author-produced PDF of an article accepted for publication in Clinical Infectious Diseases following peer review. The version of record is available online at: https://doi.org/10.1093/cid/ciaa1535.BACKGROUND: The epidemiology, clinical course, and outcomes of COVID-19 patients in the Russian population are unknown. Information on the differences between laboratory-confirmed and clinically-diagnosed COVID-19 in real-life settings is lacking. METHODS: We extracted data from the medical records of adult patients who were consecutively admitted for suspected COVID-19 infection in Moscow, between April 8 and May 28, 2020. RESULTS: Of the 4261 patients hospitalised for suspected COVID-19, outcomes were available for 3480 patients (median age 56 years (interquartile range 45-66). The commonest comorbidities were hypertension, obesity, chronic cardiac disease and diabetes. Half of the patients (n=1728) had a positive RT-PCR while 1748 were negative on RT-PCR but had clinical symptoms and characteristic CT signs suggestive of COVID-19 infection.No significant differences in frequency of symptoms, laboratory test results and risk factors for in-hospital mortality were found between those exclusively clinically diagnosed or with positive SARS-CoV-2 RT-PCR.In a multivariable logistic regression model the following were associated with in-hospital mortality; older age (per 1 year increase) odds ratio [OR] 1.05 (95% confidence interval (CI) 1.03 - 1.06); male sex (OR 1.71, 1.24 - 2.37); chronic kidney disease (OR 2.99, 1.89 - 4.64); diabetes (OR 2.1, 1.46 - 2.99); chronic cardiac disease (OR 1.78, 1.24 - 2.57) and dementia (OR 2.73, 1.34 - 5.47). CONCLUSIONS: Age, male sex, and chronic comorbidities were risk factors for in-hospital mortality. The combination of clinical features were sufficient to diagnoseCOVID-19 infection indicating that laboratory testing is not critical in real-life clinical practice.Peer reviewe

    Micro-Raman study of crichtonite group minerals enclosed into mantle garnet

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    We report the first comprehensive micro-Raman study of crichtonite group minerals (CGM) as inclusions in pyropic garnet grains from peridotite and pyroxenite mantle xenoliths of the Yakutian kimberlites as well as in garnet xenocrysts from the Aldan shield lamprophyres (Russia). The CGM form (i) morphologically oriented needles, lamellae, and short prisms and (ii) optically unoriented subhedral to euhedral grains, either single or intergrown with other minerals. We considered common mantle-derived CGM species (like loveringite, lindsleyite, and their analogues), with Ca, Ba, or Sr dominating in the dodecahedral A site and Zr or Fe in the octahedral B site. The Raman bands at the region of 600–830 cmβˆ’1 are indicative of CGM and their crystal-chemical distinction, although the intensity and shape of the bands appear to be dependent on laser beam power and wavelength. The factor-group analysis based on the loveringite crystal structure showed the octahedral and tetrahedral cation groups with 18f and 6c Wyckoff positions, namely, dominantly TiO6 and to a lower extent CrO6, MgO4, and FeO4 groups, to be the major contributors to the Raman spectral features. The ionic groups with dodecahedral (M0) and octahedral (M1) coordination are inactive for Raman scattering while active in infrared absorption. A number of observed Raman modes in the CGM spectra are several times lower than that predicted by the factor group analysis. The noticed broadening of modes in the CGM Raman spectra may result from a combining of bands at the narrow frequency shift regions. Solid solution behavior, luminescence, and partial metamictization of the CGM may exert additional influence on the Raman band shape. The Raman spectral features showed CGM to be accurately identified and distinguished from other Ti-, Fe-, Cr-, and Zr-containing oxides (e.g., ilmenite or those of spinel and magnetoplumbite groups) occurring as accessory mantle minerals. Β© 2020 The Authors. Journal of Raman Spectroscopy published by John Wiley & Sons LtdRussian Science Foundation,Β RSF: 18‐77‐10062Council on grants of the President of the Russian FederationThis study was supported by the Russian Science Foundation (Grant 18‐77‐10062). The equipment of the Ural Center for Shared Use Β«Modern NanotechnologyΒ», Ural Federal University, and the Analytical Center for Multi‐elemental and Isotope Research, IGM, was used. Sampling was supported by the Russian Federation state assignment project of IGM. We are grateful to Nikolai V. Sobolev for Samples O‐173, O‐39, and O‐264. Vladimir N. Korolyuk, Elena N. Nigmatulina (IGM), and Allan Patchen (UT) are highly appreciated for the help with EMP analyses. We express our sincere thanks to F. Nestola and an anonymous reviewer for their thorough reviews and helpful suggestions, and to C. Marshall for regardful editorial handling of the manuscript on every stage of its revision

    An oribatid mite (Arachnida: Acari) from the Oxford Clay (Jurassic: Upper Callovian) of South Cave Station Quarry, Yorkshire, UK

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    A single specimen of a new species of oribatid mite belonging to the genus Jureremus Krivolutsky, in Krivolutsky and Krassilov 1977, previously described from the Upper Jurassic of the Russian Far East, is described as J. phippsi sp. nov. The mite is preserved by iron pyrite replacement, and was recovered by sieving from the Oxford Clay Formation (Jurassic: Upper Callovian) of South Cave, Yorkshire. It is the first record of a pre-Pleistocene mite, and the second species record of the family Cymbaeremaeidae, from the British Isles; also, it is only the third record of Acari from the Jurassic Period. The presence of a terrestrial mite in a sedimentary sequence of open marine origin is noteworthy, and suggestions for its mode of transport to the site of deposition are discussed

    Purinergic signalling links mechanical breath profile and alveolar mechanics with the pro-inflammatory innate immune response causing ventilation-induced lung injury

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    Severe pulmonary infection or vigorous cyclic deformation of the alveolar epithelial type I (AT I) cells by mechanical ventilation leads to massive extracellular ATP release. High levels of extracellular ATP saturate the ATP hydrolysis enzymes CD39 and CD73 resulting in persistent high ATP levels despite the conversion to adenosine. Above a certain level, extracellular ATP molecules act as danger-associated molecular patterns (DAMPs) and activate the pro-inflammatory response of the innate immunity through purinergic receptors on the surface of the immune cells. This results in lung tissue inflammation, capillary leakage, interstitial and alveolar oedema and lung injury reducing the production of surfactant by the damaged AT II cells and deactivating the surfactant function by the concomitant extravasated serum proteins through capillary leakage followed by a substantial increase in alveolar surface tension and alveolar collapse. The resulting inhomogeneous ventilation of the lungs is an important mechanism in the development of ventilation-induced lung injury. The high levels of extracellular ATP and the upregulation of ecto-enzymes and soluble enzymes that hydrolyse ATP to adenosine (CD39 and CD73) increase the extracellular adenosine levels that inhibit the innate and adaptive immune responses rendering the host susceptible to infection by invading microorganisms. Moreover, high levels of extracellular adenosine increase the expression, the production and the activation of pro-fibrotic proteins (such as TGF-Ξ², Ξ±-SMA, etc.) followed by the establishment of lung fibrosis

    Бубпопуляции ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² ΠΊΡ€ΠΎΠ²ΠΈ Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с Π³Π΅Π½Π΅Ρ€Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ гипоксиСй

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    The aim of the work is to establish general regularities and features of differentiation of blood monocytes into 4 subpopulations in diseases associated with circulatory and respiratory hypoxia.Materials and methods. 18 patients with ischemic heart disease (IHD), 12 patients with ischemic cardiomyopathy (ICMP), 14 patients with chronic obstructive pulmonary disease (COPD), 15 patients with newly diagnosed infiltrative pulmonary tuberculosis (PTB) and 12 healthy donors were examined. In whole blood, we determined the relative number of different subpopulations of monocytes by flow cytometry. The results were analyzed by statistical methods.Results. It is shown that an increase in the number of classical (80.56 [77.60; 83.55]%) and the deficit of intermediate (10.38 [9.36; 11.26]%), non-classical (6.03 [5.24; 6.77]%) and transitional (2.14 [1.41; 3.92] %) monocytes in the blood is determined in patients with COPD when compared with the group of healthy donors (p < 0.05). In groups of patients with PTB and IHD, an increase in the number of intermediate monocytes (26.24 respectively [22.38; 42.88] % and 25.27 [15.78; 31.39]%) and the lack of transitional cells (1.77 [1.36; 3.74]% and 2.68 [2.63; 4.0]%) at the normal content of classical and non-classical forms of monocytes (p < 0.05) is detected. In patients with ICMP, a decrease in the number of non-classical monocytes (up to 5.05 [4.08; 6.58]%) is combined with the normal cell content of other subpopulations (p < 0.05). The interrelation between the number of classical and intermediate monocytes in patients with COPD (r = –0.63; p < 0.05), PTB (r = –0.72; p < 0.01), IHD (r = –0.59; p < 0.05), ICMP (r = –0.58; p < 0.05) was established.Conclusion. In COPD associated with generalized hypoxia, an increase in the number of classical monocytes is combined with a deficiency of their other subpopulations in the blood. In PTB and IHD, antigenic stimulation of the immune system mediates accelerated differentiation of monocytes from classical to intermediate forms with a decrease in the number of transitional cells regardless of the etiology of the disease (infectious or non-infectious) and the type of hypoxia (respiratory or circulatory).ЦСль Ρ€Π°Π±ΠΎΡ‚Ρ‹ – ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ ΠΎΠ±Ρ‰ΠΈΠ΅ закономСрности ΠΈ особСнности Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΡ€ΠΎΠ²ΠΊΠΈ ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² ΠΊΡ€ΠΎΠ²ΠΈ Π½Π° Ρ‡Π΅Ρ‚Ρ‹Ρ€Π΅ субпопуляции (классичСскиС (CD14hiCD16-), ΠΏΡ€ΠΎΠΌΠ΅ΠΆΡƒΡ‚ΠΎΡ‡Π½Ρ‹Π΅ (CD14hiCD16lo), нСклассичСскиС (CD14loCD16lo) ΠΈ ΠΏΠ΅Ρ€Π΅Ρ…ΠΎΠ΄Π½Ρ‹Π΅ (CD14loCD16-)) ΠΏΡ€ΠΈ заболСваниях, ассоциированных с циркуляторной ΠΈ Π΄Ρ‹Ρ…Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ гипоксиСй.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠžΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ‹ 18 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠΉ болСзнью сСрдца (Π˜Π‘Π‘), 12 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠΉ ΠΊΠ°Ρ€Π΄ΠΈΠΎΠΌΠΈΠΎΠΏΠ°Ρ‚ΠΈΠ΅ΠΉ (ИКМП), 14 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с хроничСской обструктивной болСзнью Π»Π΅Π³ΠΊΠΈΡ… (Π₯ΠžΠ‘Π›), 15 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с Π²ΠΏΠ΅Ρ€Π²Ρ‹Π΅ выявлСнным ΠΈΠ½Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ‚ΠΈΠ²Π½Ρ‹ΠΌ Ρ‚ΡƒΠ±Π΅Ρ€ΠΊΡƒΠ»Π΅Π·ΠΎΠΌ Π»Π΅Π³ΠΊΠΈΡ… (Π’Π‘Π›) ΠΈ 12 Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹Ρ… Π΄ΠΎΠ½ΠΎΡ€ΠΎΠ². Π’ Ρ†Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΊΡ€ΠΎΠ²ΠΈ опрСдСляли ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ количСство Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… субпопуляций ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ ΠΏΡ€ΠΎΡ‚ΠΎΡ‡Π½ΠΎΠΉ Ρ†ΠΈΡ‚ΠΎΠΌΠ΅Ρ‚Ρ€ΠΈΠΈ. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π»ΠΈ статистичСскими ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Показано, Ρ‡Ρ‚ΠΎ Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π₯ΠžΠ‘Π› опрСдСляСтся ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ Π΄ΠΎΠ»ΠΈ классичСских (80,56 [77,60; 83,55]%) ΠΈ Π΄Π΅Ρ„ΠΈΡ†ΠΈΡ‚ ΠΏΡ€ΠΎΠΌΠ΅ΠΆΡƒΡ‚ΠΎΡ‡Π½Ρ‹Ρ… (10,38 [9,36; 11,26]%), нСклассичСских (6,03 [5,24; 6,77]%) ΠΈ ΠΏΠ΅Ρ€Π΅Ρ…ΠΎΠ΄Π½Ρ‹Ρ… (2,14 [1,41; 3,92]%) ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² Π² ΠΊΡ€ΠΎΠ²ΠΈ ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с Π³Ρ€ΡƒΠΏΠΏΠΎΠΉ Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹Ρ… Π΄ΠΎΠ½ΠΎΡ€ΠΎΠ² (Ρ€ < 0,05). Π’ Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с Π’Π‘Π› ΠΈ Π˜Π‘Π‘ обнаруТиваСтся ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ количСства ΠΏΡ€ΠΎΠΌΠ΅ΠΆΡƒΡ‚ΠΎΡ‡Π½Ρ‹Ρ… ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² (соотвСтствСнно 26,24 [22,38; 42,88]% ΠΈ 25,27 [15,78; 31,39]%) Π½Π° Ρ„ΠΎΠ½Π΅ Π΄Π΅Ρ„ΠΈΡ†ΠΈΡ‚Π° ΠΏΠ΅Ρ€Π΅Ρ…ΠΎΠ΄Π½Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ (1,77 [1,36; 3,74]% ΠΈ 2,68 [2,63; 4,0]%) ΠΏΡ€ΠΈ Π½ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΌ содСрТании классичСских ΠΈ нСклассичСских Ρ„ΠΎΡ€ΠΌ ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² (Ρ€ < 0,05). Π£ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ИКМП сниТСниС числСнности нСклассичСских ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² (Π΄ΠΎ 5,05 [4,08; 6,58]%) сочСтаСтся с Π½ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½Ρ‹ΠΌ содСрТаниСм ΠΊΠ»Π΅Ρ‚ΠΎΠΊ ΠΎΡΡ‚Π°Π»ΡŒΠ½Ρ‹Ρ… субпопуляций (Ρ€ < 0,05). УстановлСна взаимосвязь ΠΌΠ΅ΠΆΠ΄Ρƒ Ρ‡ΠΈΡΠ»Π΅Π½Π½ΠΎΡΡ‚ΡŒΡŽ классичСских ΠΈ ΠΏΡ€ΠΎΠΌΠ΅ΠΆΡƒΡ‚ΠΎΡ‡Π½Ρ‹Ρ… ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π₯ΠžΠ‘Π› (r = –0,63; p < 0,05), Π’Π‘Π› (r = –0,72; p < 0,01), Π˜Π‘Π‘ (r = –0,59; p < 0,05), ИКМП (r = –0,58; p < 0,05).Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ΠŸΡ€ΠΈ Π₯ΠžΠ‘Π›, ассоциированной с Π³Π΅Π½Π΅Ρ€Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ гипоксиСй, ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ числа классичСских ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² сочСтаСтся с Π΄Π΅Ρ„ΠΈΡ†ΠΈΡ‚ΠΎΠΌ ΠΎΡΡ‚Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΈΡ… субпопуляций Π² ΠΊΡ€ΠΎΠ²ΠΈ. ΠŸΡ€ΠΈ Π’Π‘Π› ΠΈ Π˜Π‘Π‘ антигСнная стимуляция ΠΈΠΌΠΌΡƒΠ½Π½ΠΎΠΉ систСмы опосрСдуСт ΡƒΡΠΊΠΎΡ€Π΅Π½Π½ΡƒΡŽ Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΡ€ΠΎΠ²ΠΊΡƒ ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² ΠΈΠ· классичСских Π² ΠΏΡ€ΠΎΠΌΠ΅ΠΆΡƒΡ‚ΠΎΡ‡Π½Ρ‹Π΅ Ρ„ΠΎΡ€ΠΌΡ‹ ΠΏΡ€ΠΈ сниТСнии числа ΠΏΠ΅Ρ€Π΅Ρ…ΠΎΠ΄Π½Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Π²Π½Π΅ зависимости ΠΎΡ‚ этиологии заболСвания (инфСкционная ΠΈΠ»ΠΈ нСинфСкционная) ΠΈ Π²ΠΈΠ΄Π° гипоксии (Π΄Ρ‹Ρ…Π°Ρ‚Π΅Π»ΡŒΠ½Π°Ρ ΠΈΠ»ΠΈ циркуляторная)

    P2 purinergic receptor modulation of cytokine production

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    Cytokines serve important functions in controlling host immunity. Cells involved in the synthesis of these polypeptide mediators have evolved highly regulated processes to ensure that production is carefully balanced. In inflammatory and immune disorders, however, mis-regulation of the production and/or activity of cytokines is recognized as a major contributor to the disease process, and therapeutics that target individual cytokines are providing very effective treatment options in the clinic. Leukocytes are the principle producers of a number of key cytokines, and these cells also express numerous members of the purinergic P2 receptor family. Studies in several cellular systems have provided evidence that P2 receptor modulation can affect cytokine production, and mechanistic features of this regulation have emerged. This review highlights three separate examples corresponding to (1) P2Y6 receptor mediated impact on interleukin (IL)-8 production, (2) P2Y11 receptor-mediated affects on IL-12/23 output, and (3) P2X7 receptor mediated IL-1Ξ² posttranslational processing. These examples demonstrate important roles of purinergic receptors in the modulation of cytokine production. Extension of these cellular observations to in vivo situations may lead to new therapeutic strategies for treating cytokine-mediated diseases
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