5 research outputs found

    The development of adequate finite element models of load-bearing structures coating β€œVnukovo-1 airport complex” to solve the problems of monitoring their technical condition

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    This article considers the issues of designing adequate finite element models of weight-bearing structures based on the roof structures of the Vnukovo-1 airport, which is made in the form of a spatial core structure. Additional actions on the covering structure model in terms of the strength checking calculation procedure are presented, its purpose is to make the adequate model for its further use in the design of structural health monitoring. The article presents the results of modeling, comparative research with the data of nature experiment

    ΠžΠ‘ΠžΠ‘Π•ΠΠΠžΠ‘Π’Π˜ ΠŸΠ ΠžΠ”Π£ΠšΠ¦Π˜Π˜ Π’ΠΠ•ΠšΠ›Π•Π’ΠžΠ§ΠΠ«Π₯ Π’Π•Π—Π˜ΠšΠ£Π› ΠšΠ›Π•Π’ΠšΠΠœΠ˜ Π›Π˜ΠΠ˜Π˜ THP-1 ПРИ Π‘Π’Π˜ΠœΠ£Π›Π―Π¦Π˜Π˜ IN VITRO

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    HighlightsExtracellular vesicles (EVs) are membrane objects with inner and surface molecular cargo performing various biological functions associated with intercellular connection. Therefore, they are a promising object for diagnostic and therapeutic purposes.THP-1 is a human leukemia monocytic cell line and a classic model for monocyte/macrophage function and differentiation. Spectrum of THP-1-derived extracellular vesicles are heterogenic and are not to date totally clarified.The comparison of EVs produced by stimulated THP-1 cells is performed in the study.Β Aim. Quantitatively and qualitatively characterize THP-1-derived extracellular vesicles in concordance on type and dose of used stimulators.Methods. THP-1 cells were stimulated by PMA (4-phorbol 12-myristate 13-acetate), LPS (lipopolysaccharide) and TNF (tumor necrosis factor). Cell activation and viability were assessed by the expression of CD54 and DAPI (4β€²,6-diamidino-2-phenylindole) staining respectively. Size and quantitative characteristics were assessed using nanoparticle tracking analysis (NTA). Qualitative assessment of surface molecular markers was performed by high-sensitivity multicolor flow cytometry (hs-FCM).Results. TNF and PMA stimulation in medium and high doses led to an increase in quantity of small EVs (30–150 nm) that express tetraspanins CD9 and CD63. Low doses of TNF and PMA did not lead to a significant increase of EVs compared to control. There was a decrease in amount of small EVs (30–150 nm) in LPS-stimulated probes. However, medium and high doses of LPS stimulated selective CD63-positive EVs secretion with absence of CD9-positive events. Cell activation assessed by CD54 expression have been dose-dependent and was most prominent under PMA stimulation.Conclusion. Every type of THP-1 cell activators promotes changes in the functional activity of cells towards production of extracellular vesicles. Moreover, we demonstrate quantitative and qualitative difference in THP-1-derived vesicles under different stimulation conditions. Medium and high doses of PMA and TNF were the most relevant in stimulation of vesiculation. LPS-stimulation could be used to selectively obtain CD63-positive fraction of EV.ΠžΡΠ½ΠΎΠ²Π½Ρ‹Π΅ полоТСнияВнСклСточныС Π²Π΅Π·ΠΈΠΊΡƒΠ»Ρ‹ (Π’Π’) – это ΠΌΠ΅ΠΌΠ±Ρ€Π°Π½Π½Ρ‹Π΅ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Ρ‹ c молСкулярным Π³Ρ€ΡƒΠ·ΠΎΠΌ Π²Π½ΡƒΡ‚Ρ€ΠΈ сСбя ΠΈ Π½Π° повСрхности, Π²Ρ‹ΠΏΠΎΠ»Π½ΡΡŽΡ‰ΠΈΠ΅ Ρ€Π°Π·Π½ΠΎΠΎΠ±Ρ€Π°Π·Π½Ρ‹Π΅ биологичСскиС Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ, связанныС с ΠΌΠ΅ΠΆΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹ΠΌ взаимодСйствиСм, поэтому ΡΠ²Π»ΡΡŽΡ‚ΡΡ пСрспСктивным ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠΌ для диагностичСских ΠΈ тСрапСвтичСских Ρ†Π΅Π»Π΅ΠΉ.ΠšΡƒΠ»ΡŒΡ‚ΡƒΡ€Π° ΠΊΠ»Π΅Ρ‚ΠΎΠΊ острого ΠΌΠΈΠ΅Π»ΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ Π»Π΅ΠΉΠΊΠΎΠ·Π° Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° – THP-1 – классичСская модСльная ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚Π°Ρ€Π½ΠΎ-ΠΌΠ°ΠΊΡ€ΠΎΡ„Π°Π³Π°Π»ΡŒΠ½Π°Ρ систСма. Π‘ΠΏΠ΅ΠΊΡ‚Ρ€ сСкрСтируСмых этой ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€ΠΎΠΉ Π’Π’ Π³Π΅Ρ‚Π΅Ρ€ΠΎΠ³Π΅Π½Π΅Π½ ΠΈ нСдостаточно ΠΎΡ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΠΎΠ²Π°Π½ ΠΊ настоящСму Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ.Π’ Ρ€Π°Π±ΠΎΡ‚Π΅ проводится сравнСниС ΠΏΡ€ΠΎΠ΄ΡƒΡ†ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΊΠ°ΠΌΠΈ THP-1 Π’Π’ ΠΏΡ€ΠΈ воздСйствии Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… стимуляторов. ЦСль. Π”Π°Ρ‚ΡŒ ΠΊΠΎΠ»ΠΈΡ‡Π΅ΡΡ‚Π²Π΅Π½Π½ΡƒΡŽ ΠΈ ΠΊΠ°Ρ‡Π΅ΡΡ‚Π²Π΅Π½Π½ΡƒΡŽ характСристику Π²Π½Π΅ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹Ρ… Π²Π΅Π·ΠΈΠΊΡƒΠ», ΠΏΡ€ΠΎΠ΄ΡƒΡ†ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΊΠ°ΠΌΠΈ Π»ΠΈΠ½ΠΈΠΈ THP-1, Π² зависимости ΠΎΡ‚ использованного стимулятора ΠΈ Π΅Π³ΠΎ Π΄ΠΎΠ·Ρ‹.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдовании Π±Ρ‹Π»ΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ ΠΊΠ»Π΅Ρ‚ΠΊΠΈ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹ THP-1. Для стимуляции ΠΊΠ»Π΅Ρ‚ΠΎΠΊ использовались: PMA (4-Ρ„ΠΎΡ€Π±ΠΎΠ»-12-миристат-13-Π°Ρ†Π΅Ρ‚Π°Ρ‚) Π² Π΄ΠΎΠ·Π°Ρ… 5, 16 ΠΈ 50 Π½Π³/ΠΌΠ», Π›ΠŸΠ‘ (липополисахарид) Π² Π΄ΠΎΠ·Π°Ρ… 0,1 Π½Π³/ΠΌΠ», 0,3 Π½Π³/ΠΌΠ», 1,0 Π½Π³/ΠΌΠ» ΠΈ ЀНО (Ρ„Π°ΠΊΡ‚ΠΎΡ€ Π½Π΅ΠΊΡ€ΠΎΠ·Π° ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ) Π² Π΄ΠΎΠ·Π°Ρ… 5, 10 ΠΈ 20 Π½Π³/ΠΌΠ». Активация ΠΊΠ»Π΅Ρ‚ΠΎΠΊ ΠΎΡ†Π΅Π½ΠΈΠ²Π°Π»Π°ΡΡŒ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ уровня экспрСссии CD54, Π° Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ Π°ΠΏΠΎΠΏΡ‚ΠΎΠ·Π°/Π½Π΅ΠΊΡ€ΠΎΠ·Π° – посрСдством подсчСта DAPI (4β€²,6-Π΄ΠΈΠ°ΠΌΠΈΠ΄ΠΈΠ½ΠΎ-2-Ρ„Π΅Π½ΠΈΠ»ΠΈΠ½Π΄ΠΎΠ»)-ΠΏΠΎΠ·ΠΈΡ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Π²Ρ‹ΡΠΎΠΊΠΎΡ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΏΡ€ΠΎΡ‚ΠΎΡ‡Π½ΠΎΠΉ Ρ†ΠΈΡ‚ΠΎΠΌΠ΅Ρ‚Ρ€ΠΈΠΈ (hs-FCM). Π Π°Π·ΠΌΠ΅Ρ€Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ΄ΡƒΡ†ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… Π²Π΅Π·ΠΈΠΊΡƒΠ» ΠΈ ΠΈΡ… количСствСнная характСристика Π±Ρ‹Π»Π° Π΄Π°Π½Π° с использованиСм Π°Π½Π°Π»ΠΈΠ·Π° Ρ‚Ρ€Π°Π΅ΠΊΡ‚ΠΎΡ€ΠΈΠΈ наночастиц (NTA). ΠšΠ°Ρ‡Π΅ΡΡ‚Π²Π΅Π½Π½Π°Ρ характСристика экспрСссируСмых повСрхностных молСкулярных ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² Π±Ρ‹Π»Π° Π΄Π°Π½Π° с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Π²Ρ‹ΡΠΎΠΊΠΎΡ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΌΠ½ΠΎΠ³ΠΎΡ†Π²Π΅Ρ‚Π½ΠΎΠΉ ΠΏΡ€ΠΎΡ‚ΠΎΡ‡Π½ΠΎΠΉ Ρ†ΠΈΡ‚ΠΎΠΌΠ΅Ρ‚Ρ€ΠΈΠΈ (hs-FCM).Β Β Β Β Β Β Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Бтимуляция ЀНО ΠΈ PMA Π² срСдних ΠΈ высоких Π΄ΠΎΠ·ΠΈΡ€ΠΎΠ²ΠΊΠ°Ρ… ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ Π½Π°Ρ€Π°ΡΡ‚Π°Π½ΠΈΡŽ сСкрСтируСмой Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΈ ΠΌΠ°Π»Ρ‹Ρ… (30–150 Π½ΠΌ) Π²Π½Π΅ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹Ρ… Π²Π΅Π·ΠΈΠΊΡƒΠ», ΡΠΊΡΠΏΡ€Π΅ΡΡΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… тСтраспаниновыС ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Ρ‹ (CD9, CD63). ΠœΠ°Π»Ρ‹Π΅ Π΄ΠΎΠ·Ρ‹ ЀНО ΠΈ PMA Π½Π΅ ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΊ достовСрному приросту количСства Π’Π’. ΠŸΡ€ΠΈ использовании всСх Π΄ΠΎΠ·ΠΈΡ€ΠΎΠ²ΠΎΠΊ Π›ΠŸΠ‘ ΠΎΡ‚ΠΌΠ΅Ρ‡Π°Π»ΠΎΡΡŒ Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ количСствСнноС сниТСниС Π’Π’ Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ 30-150 Π½ΠΌ (ΠΌΠ°Π»Ρ‹Π΅ Π’Π’). Однако срСдниС ΠΈ высокиС Π΄ΠΎΠ·Ρ‹ Π›ΠŸΠ‘ Π²Ρ‹Π·Ρ‹Π²Π°Π»ΠΈ Π΄ΠΎΡΡ‚ΠΎΠ²Π΅Ρ€Π½ΡƒΡŽ ΡΠ΅Π»Π΅ΠΊΡ‚ΠΈΠ²Π½ΡƒΡŽ ΡΠ΅ΠΊΡ€Π΅Ρ†ΠΈΡŽ CD63-ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π’Π’ ΠΏΡ€ΠΈ ΠΏΠΎΠ»Π½ΠΎΠΌ отсутствии Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ измСнСния CD9-ΠΏΠΎΠ·ΠΈΡ‚ΠΈΠ²Π½Ρ‹Ρ… Π²Π΅Π·ΠΈΠΊΡƒΠ». Активация ΠΊΠ»Π΅Ρ‚ΠΎΠΊ, оцСниваСмая ΠΏΠΎ экспрСссии CD54, носила дозозависимый Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ ΠΈ Π±Ρ‹Π»Π° Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π° ΠΏΡ€ΠΈ стимуляции PMA.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ΠšΠ°ΠΆΠ΄Ρ‹ΠΉ Π²ΠΈΠ΄ использованной стимуляции ΠΊΠ»Π΅Ρ‚ΠΎΠΊ THP-1 ΠΏΡ€ΠΎΠ²ΠΎΡ†ΠΈΡ€ΡƒΠ΅Ρ‚ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ активности ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ ΠΏΡ€ΠΎΠ΄ΡƒΡ†ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… ΠΈΠΌΠΈ Π²Π½Π΅ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹Ρ… Π²Π΅Π·ΠΈΠΊΡƒΠ». ΠŸΡ€ΠΈ этом ΠΌΠΎΠΆΠ΅Ρ‚ ΠΌΠ΅Π½ΡΡ‚ΡŒΡΡ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ количСствСнный, Π½ΠΎ ΠΈ качСствСнный состав ΠΏΡ€ΠΎΠ΄ΡƒΡ†ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ². НаиболСС ΠΏΡ€Π΅Π΄ΠΏΠΎΡ‡Ρ‚ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌΠΈ Π² стимуляции вСзикуляции оказались срСдниС ΠΈ высокиС Π΄ΠΎΠ·Ρ‹ ЀНО ΠΈ PMA. Бтимуляция Π›ΠŸΠ‘ Π² срСдних ΠΈ высоких Π΄ΠΎΠ·Π°Ρ… ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ использована для получСния ΠΈΠ·ΠΎΠ»ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ CD63-ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΈ Π’Π’

    The development of adequate finite element models of load-bearing structures coating β€œVnukovo-1 airport complex” to solve the problems of monitoring their technical condition

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    This article considers the issues of designing adequate finite element models of weight-bearing structures based on the roof structures of the Vnukovo-1 airport, which is made in the form of a spatial core structure. Additional actions on the covering structure model in terms of the strength checking calculation procedure are presented, its purpose is to make the adequate model for its further use in the design of structural health monitoring. The article presents the results of modeling, comparative research with the data of nature experiment

    Deep Immunophenotyping of Circulating T and B Cells in Relapsing Adult-Onset Still’s Disease

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    Adult-onset Still’s disease (AOSD) is a complex systemic inflammatory disorder, categorized as an β€˜IL-1 driven’ inflammasomapathy. Despite this, the interaction between T and B cells remains poorly understood. We conducted a study, enrolling 7 patients with relapsing AOSD and 15 healthy control subjects, utilizing deep flow cytometry analysis to examine peripheral blood T- and B-cell subsets. T-cell and B-cell subsets were significantly altered in patients with AOSD. Within CD4+ T cells, Th2 cells were decreased. Additionally, Th17 cell and follicular Th cell subsets were altered within CD45RA–CD62L+ and CD45RA–CD62L– Th cells in patients with AOSD compared to healthy controls. We identified changes in CD8+ T cell maturation and β€˜polarization’ in AOSD patients, with an elevated presence of the TEMRA CD8+ T cell subset. Furthermore, the percentage of Tc1 cells was decreased, while the frequency of CCR6–CXCR3– Tc2 cells was elevated. Finally, we determined that the frequency of CD5+CD27– B cells was dramatically decreased in patients with AOSD compared to healthy controls. Further investigations on a large group of patients with AOSD are required to evaluate these adaptive immunity cells in the disease pathogenesis

    Dysregulated Immune Responses in SARS-CoV-2-Infected Patients: A Comprehensive Overview

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    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first detected in humans more than two years ago and caused an unprecedented socio-economic burden on all countries around the world. Since then, numerous studies have attempted to identify various mechanisms involved in the alterations of innate and adaptive immunity in COVID-19 patients, with the ultimate goal of finding ways to correct pathological changes and improve disease outcomes. State-of-the-art research methods made it possible to establish precise molecular mechanisms which the new virus uses to trigger multisystem inflammatory syndrome and evade host antiviral immune responses. In this review, we present a comprehensive analysis of published data that provide insight into pathological changes in T and B cell subsets and their phenotypes, accompanying the acute phase of the SARS-CoV-2 infection. This knowledge might help reveal new biomarkers that can be utilized to recognize case severity early as well as to provide additional objective information on the effective formation of SARS-CoV-2-specific immunity and predict long-term complications of COVID-19, including a large variety of symptoms termed the ‘post-COVID-19 syndrome’
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