167 research outputs found

    Intracellular S1P Generation Is Essential for S1P-Induced Motility of Human Lung Endothelial Cells: Role of Sphingosine Kinase 1 and S1P Lyase

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    Earlier we have shown that extracellular sphingosine-1-phosphate (S1P) induces migration of human pulmonary artery endothelial cells (HPAECs) through the activation of S1P(1) receptor, PKCΔ, and PLD2-PKCζ-Rac1 signaling cascade. As endothelial cells generate intracellular S1P, here we have investigated the role of sphingosine kinases (SphKs) and S1P lyase (S1PL), that regulate intracellular S1P accumulation, in HPAEC motility

    ЛИбИЙ КАК ЀАКйОР СОПРЯЖЕНИЯ НАРУйЕНИЙ МИНЕРАЛЬНОГО И УГЛЕВОДНОГО ГОМЕОСбАЗА ПРИ Đ—Đ›ĐžĐšĐĐ§Đ•ĐĄĐąĐ’Đ•ĐĐĐ«Đ„ ĐĐžĐ’ĐžĐžĐ‘Đ ĐĐ—ĐžĐ’ĐĐĐ˜ĐŻĐ„ Đ­ĐŸĐ˜ĐąĐ•Đ›Đ˜ĐĐ›ĐŹĐĐ«Đ„ бКАНЕЙ

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    The impact of changes in orientation of the metabolism of carbohydrates and minerals in the cell malignancy has been demonstrated in several studies. The aim of this study was to analyze the molecular mechanisms and relationship of carbohydrate and mineral homeostasis with the processes of carcinogenesis. Parameters of carbohydrate and mineral metabolism of blood were defined in 73 patients with malignant tumors of epithelial tissues and 31 healthy subjects. In the presence of malignant tumors of epithelial tissues there was a statistically significant increase in the levels of glucose and glycated hemoglobin in the early stages of the disease and the absence of them at stage IV of the disease. There were no statistically significant differences in the levels of C-peptide and immunoreactive insulin in blood samples of cancer patients, although they tended to increase compared with the control group. Analysis of the composition of macroelements at the early stages of carcinogenesis revealed a statistically significant reduction of sodium level in plasma which wasn’t observed at the terminal stage of the disease. The concentrations of potassium and chlorine tend to increase in cancer patients, but the differences between these parameters were not statistically significant. Concentrations of calcium and magnesium significantly increased in the presence of malignant tumors. Analysis of microelements in the blood plasma showed a decrease in the concentration of cuprum and lithium (in 2.5-5 times) and the growth of strontium concentrations. Lithium has multiple effects on the life of cells, affecting a number of elements of messengers, as well as being the link between the carbohydrate metabolism and cell malignancy. Disorders of mineral homeostasis are important element in the disintegration of the metabolic processes in carcinogenesisĐ’Đ»ĐžŃĐœĐžĐ” ĐžĐ·ĐŒĐ”ĐœĐ”ĐœĐžŃ ĐœĐ°ĐżŃ€Đ°ĐČĐ»Đ”ĐœĐœĐŸŃŃ‚Đž ĐŒĐ”Ń‚Đ°Đ±ĐŸĐ»ĐžĐ·ĐŒĐ° углДĐČĐŸĐŽĐŸĐČ Đž ĐŒĐžĐœĐ”Ń€Đ°Đ»ŃŒĐœĐŸĐłĐŸ ĐŸĐ±ĐŒĐ”ĐœĐ° ĐœĐ° ĐŒĐ°Đ»ĐžĐłĐœĐžĐ·Đ°Ń†ĐžŃŽ ĐșĐ»Đ”Ń‚ĐŸĐș Đ±Ń‹Đ»ĐŸ ĐœĐ°ĐłĐ»ŃĐŽĐœĐŸ ĐżĐŸĐșĐ°Đ·Đ°ĐœĐŸ ĐČ Ń€ŃĐŽĐ” Ń€Đ°Đ±ĐŸŃ‚. ĐŠĐ”Đ»ŃŒŃŽ ĐŽĐ°ĐœĐœĐŸĐłĐŸ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ стал Đ°ĐœĐ°Đ»ĐžĐ· ĐŒĐŸĐ»Đ”ĐșŃƒĐ»ŃŃ€ĐœŃ‹Ń… ĐŒĐ”Ń…Đ°ĐœĐžĐ·ĐŒĐŸĐČ ĐČĐ·Đ°ĐžĐŒĐŸŃĐČŃĐ·Đž углДĐČĐŸĐŽĐœĐŸĐłĐŸ Đž ĐŒĐžĐœĐ”Ń€Đ°Đ»ŃŒĐœĐŸĐłĐŸ ĐłĐŸĐŒĐ”ĐŸŃŃ‚Đ°Đ·Đ° с ĐżŃ€ĐŸŃ†Đ”ŃŃĐ°ĐŒĐž ĐșĐ°ĐœŃ†Đ”Ń€ĐŸĐłĐ”ĐœĐ”Đ·Đ°. ĐžĐżŃ€Đ”ĐŽĐ”Đ»ŃĐ»Đž ĐżĐ°Ń€Đ°ĐŒĐ”Ń‚Ń€Ń‹ углДĐČĐŸĐŽĐœĐŸĐłĐŸ Đž ĐŒĐžĐœĐ”Ń€Đ°Đ»ŃŒĐœĐŸĐłĐŸ ĐŸĐ±ĐŒĐ”ĐœĐŸĐČ ĐșŃ€ĐŸĐČĐž у 73 Đ±ĐŸĐ»ŃŒĐœŃ‹Ń… Đ·Đ»ĐŸĐșачДстĐČĐ”ĐœĐœŃ‹ĐŒĐž ĐœĐŸĐČĐŸĐŸĐ±Ń€Đ°Đ·ĐŸĐČĐ°ĐœĐžŃĐŒĐž ŃĐżĐžŃ‚Đ”Đ»ĐžĐ°Đ»ŃŒĐœŃ‹Ń… тĐșĐ°ĐœĐ”Đč Đž 31 праĐșтОчДсĐșĐž Đ·ĐŽĐŸŃ€ĐŸĐČых лОц. Про Đ·Đ»ĐŸĐșачДстĐČĐ”ĐœĐœŃ‹Ń… ĐœĐŸĐČĐŸĐŸĐ±Ń€Đ°Đ·ĐŸĐČĐ°ĐœĐžŃŃ… ŃĐżĐžŃ‚Đ”Đ»ĐžĐ°Đ»ŃŒĐœŃ‹Ń… тĐșĐ°ĐœĐ”Đč ĐČыяĐČĐ»Đ”ĐœĐŸ статОстОчДсĐșĐž Đ·ĐœĐ°Ń‡ĐžĐŒĐŸĐ” ĐżĐŸĐČŃ‹ŃˆĐ”ĐœĐžĐ” ŃƒŃ€ĐŸĐČĐœĐ”Đč глюĐșĐŸĐ·Ń‹ Đž глОĐșĐžĐ»ĐžŃ€ĐŸĐČĐ°ĐœĐœĐŸĐłĐŸ ĐłĐ”ĐŒĐŸĐłĐ»ĐŸĐ±ĐžĐœĐ° ĐœĐ° ĐœĐ°Ń‡Đ°Đ»ŃŒĐœŃ‹Ń… стаЮоях Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžŃ про ĐŸŃ‚ŃŃƒŃ‚ŃŃ‚ĐČОО таĐșĐŸĐČĐŸĐłĐŸ про IV стаЮоо Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžŃ. ХтатОстОчДсĐșĐž Đ·ĐœĐ°Ń‡ĐžĐŒŃ‹Ń… ĐŸŃ‚Đ»ĐžŃ‡ĐžĐč ĐżĐŸ ŃƒŃ€ĐŸĐČĐœŃĐŒ ĐĄ-пДптОЎа Đž ĐžĐŒĐŒŃƒĐœĐŸŃ€Đ”Đ°ĐșтоĐČĐœĐŸĐłĐŸ ĐžĐœŃŃƒĐ»ĐžĐœĐ° ĐČ ĐșŃ€ĐŸĐČĐž ĐŸĐœĐșĐŸĐ»ĐŸĐłĐžŃ‡Đ”ŃĐșох Đ±ĐŸĐ»ŃŒĐœŃ‹Ń… ĐČыяĐČĐ»Đ”ĐœĐŸ ĐœĐ” Đ±Ń‹Đ»ĐŸ, Ń…ĐŸŃ‚Ń Đž ĐœĐ°Đ±Đ»ŃŽĐŽĐ°Đ»Đ°ŃŃŒ Ń‚Đ”ĐœĐŽĐ”ĐœŃ†ĐžŃ Đș ох ĐżĐŸĐČŃ‹ŃˆĐ”ĐœĐžŃŽ ĐżĐŸ сраĐČĐœĐ”ĐœĐžŃŽ с ĐșĐŸĐœŃ‚Ń€ĐŸĐ»ŃŒĐœĐŸĐč ĐłŃ€ŃƒĐżĐżĐŸĐč. Про Đ°ĐœĐ°Đ»ĐžĐ·Đ” ŃĐŸĐŽĐ”Ń€Đ¶Đ°ĐœĐžŃ ĐŒĐ°ĐșŃ€ĐŸŃĐ»Đ”ĐŒĐ”ĐœŃ‚ĐŸĐČ ŃƒĐ¶Đ” ĐœĐ° ĐœĐ°Ń‡Đ°Đ»ŃŒĐœŃ‹Ń… стаЮоях ĐșĐ°ĐœŃ†Đ”Ń€ĐŸĐłĐ”ĐœĐ”Đ·Đ° ĐŸĐ±ĐœĐ°Ń€ŃƒĐ¶Đ”ĐœĐŸ статОстОчДсĐșĐž Đ·ĐœĐ°Ń‡ĐžĐŒĐŸĐ” ŃĐœĐžĐ¶Đ”ĐœĐžĐ” ŃƒŃ€ĐŸĐČĐœŃ Na ĐČ ĐżĐ»Đ°Đ·ĐŒĐ” ĐșŃ€ĐŸĐČĐž, ĐœĐ” ĐœĐ°Đ±Đ»ŃŽĐŽĐ°ŃŽŃ‰Đ”Đ”ŃŃ про Ń‚Đ”Ń€ĐŒĐžĐœĐ°Đ»ŃŒĐœĐŸĐč стаЮоо. ĐšĐŸĐœŃ†Đ”ĐœŃ‚Ń€Đ°Ń†ĐžĐž K Đž ĐĄl ĐžĐŒĐ”Đ”Ń‚ Ń‚Đ”ĐœĐŽĐ”ĐœŃ†ĐžŃŽ Đș ĐżĐŸĐČŃ‹ŃˆĐ”ĐœĐžŃŽ у ĐŸĐœĐșĐŸĐ»ĐŸĐłĐžŃ‡Đ”ŃĐșох Đ±ĐŸĐ»ŃŒĐœŃ‹Ń…, ĐœĐŸ Ń€Đ°Đ·Đ»ĐžŃ‡ĐžŃ этох ĐżĐŸĐșазатДлДĐč статОстОчДсĐșĐž ĐœĐ” Đ·ĐœĐ°Ń‡ĐžĐŒŃ‹. Про Đ·Đ»ĐŸĐșачДстĐČĐ”ĐœĐœŃ‹Ń… ĐœĐŸĐČĐŸĐŸĐ±Ń€Đ°Đ·ĐŸĐČĐ°ĐœĐžŃŃ… Đ·ĐœĐ°Ń‡ĐžĐŒĐŸ ĐżĐŸĐČŃ‹ŃˆĐ°Đ”Ń‚ŃŃ ŃĐŸĐŽĐ”Ń€Đ¶Đ°ĐœĐžĐ” Ca, Đ , Mg. ĐĐœĐ°Đ»ĐžĐ· ŃƒŃ€ĐŸĐČĐœŃ ĐŒĐžĐșŃ€ĐŸŃĐ»Đ”ĐŒĐ”ĐœŃ‚ĐŸĐČ ĐČ ĐżĐ»Đ°Đ·ĐŒĐ” ĐșŃ€ĐŸĐČĐž ĐżĐŸĐșĐ°Đ·Đ°Đ» ŃĐœĐžĐ¶Đ”ĐœĐžĐ” ĐșĐŸĐœŃ†Đ”ĐœŃ‚Ń€Đ°Ń†ĐžĐž Cu, Li (ĐČ 2,5–5 раз), Ń€ĐŸŃŃ‚ ŃĐŸĐŽĐ”Ń€Đ¶Đ°ĐœĐžŃ Sr. ЛотоĐč ĐŸĐșĐ°Đ·Ń‹ĐČаДт ĐŒĐœĐŸĐ¶Đ”ŃŃ‚ĐČĐ”ĐœĐœŃ‹Đ” ŃŃ„Ń„Đ”Đșты ĐœĐ° Đ¶ĐžĐ·ĐœĐ”ĐŽĐ”ŃŃ‚Đ”Đ»ŃŒĐœĐŸŃŃ‚ŃŒ ĐșĐ»Đ”Ń‚ĐŸĐș, ĐČĐ»ĐžŃŃ ĐœĐ° ряЮ ŃĐ»Đ”ĐŒĐ”ĐœŃ‚ĐŸĐČ ŃĐžŃŃ‚Đ”ĐŒ ĐŒĐ”ŃŃĐ”ĐœĐŽĐ¶Đ”Ń€ĐŸĐČ, Đ° таĐșжД яĐČĐ»ŃŃŃŃŒ ŃĐŸĐżŃ€ŃĐłĐ°ŃŽŃ‰ĐžĐŒ Đ·ĐČĐ”ĐœĐŸĐŒ ĐŒĐ”Đ¶ĐŽŃƒ углДĐČĐŸĐŽĐœŃ‹ĐŒ ĐŸĐ±ĐŒĐ”ĐœĐŸĐŒ Đž ĐŒĐ°Đ»ĐžĐłĐœĐžĐ·Đ°Ń†ĐžĐ”Đč ĐșĐ»Đ”Ń‚ĐŸĐș. ĐĐ°Ń€ŃƒŃˆĐ”ĐœĐžĐ” ĐŒĐžĐœĐ”Ń€Đ°Đ»ŃŒĐœĐŸĐłĐŸ ĐłĐŸĐŒĐ”ĐŸŃŃ‚Đ°Đ·Đ° яĐČĐ»ŃĐ”Ń‚ŃŃ Đ·ĐœĐ°Ń‡ĐžĐŒŃ‹ĐŒ Đ·ĐČĐ”ĐœĐŸĐŒ ĐČ ĐŽĐ”Đ·ĐžĐœŃ‚Đ”ĐłŃ€Đ°Ń†ĐžĐž ĐŒĐ”Ń‚Đ°Đ±ĐŸĐ»ĐžŃ‡Đ”ŃĐșох ĐżŃ€ĐŸŃ†Đ”ŃŃĐŸĐČ ĐżŃ€Đž ĐșĐ°ĐœŃ†Đ”Ń€ĐŸĐłĐ”ĐœĐ”Đ·Đ”.

    Non-Small Cell Lung Carcinoma Cell Motility, Rac Activation and Metastatic Dissemination Are Mediated by Protein Kinase C Epsilon

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    Background: Protein kinase C (PKC) e, a key signaling transducer implicated in mitogenesis, survival, and cancer progression, is overexpressed in human primary non-small cell lung cancer (NSCLC). The role of PKCe in lung cancer metastasis has not yet been established. Principal Findings: Here we show that RNAi-mediated knockdown of PKCe in H358, H1299, H322, and A549 NSCLC impairs activation of the small GTPase Rac1 in response to phorbol 12-myristate 13-acetate (PMA), serum, or epidermal growth factor (EGF). PKCe depletion markedly impaired the ability of NSCLC cells to form membrane ruffles and migrate. Similar results were observed by pharmacological inhibition of PKCe with eV1-2, a specific PKCe inhibitor. PKCe was also required for invasiveness of NSCLC cells and modulated the secretion of extracellular matrix proteases and protease inhibitors. Finally, we found that PKCe-depleted NSCLC cells fail to disseminate to lungs in a mouse model of metastasis. Conclusions: Our results implicate PKCe as a key mediator of Rac signaling and motility of lung cancer cells, highlighting its potential as a therapeutic target

    ВЛИЯНИЕ ЖЕНСКОЙ ĐĐŁĐąĐžĐĄĐ«Đ’ĐžĐ ĐžĐąĐšĐ˜ КРОВИ НА ĐĐ›Đ›ĐžĐ“Đ•ĐĐĐ«Đ• ВЗАИМОДЕЙСбВИЯ В КРАбКОСРОЧНОЙ КУЛЬбУРЕ Đ›Đ˜ĐœĐ€ĐžĐŠĐ˜ĐąĐžĐ’ СУПРУГОВ, Đ˜ĐœĐ•ĐźĐ©Đ˜Đ„ ДЕбЕЙ ĐĄ ĐšĐžĐĐžĐąĐ ĐŁĐĐšĐĐ›ĐŹĐĐ«ĐœĐ˜ ПОРОКАМИ

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    Highlights The findings of this original study ensure the detection of violations in the humoral regulation of the maternal immune interactions with semiallogeneic fetus, considered as a risk factor for developing sporadic conotruncal heart malformations in the next generation.Aim To study the role of female autoserum blood in limiting allogeneic interactions in short-term lymphocyte cultures of parents having children with conotruncal heart malformations.Methods 21 married couples (the study group) with children suffering from conotrucnal heart malformations (Tetralogy of Fallot) without chromosomal diseases were examined. The control group consisted of 21 families with three or more healthy children. The immune response in a mixed lymphocyte culture of parents was assessed by the increase in HLA-DR expression in the mixed culture with respect to spontaneous lymphocyte cultures. Primary staining of female and male lymphocytes with monoclonal antibodies to CD45, conjugated with various fluorescent dyes (PC-5 and PC-7), allowed assessing the immune response of female lymphocytes to male and vice versa.Results The effects of female autoserum on the mixed lymphocyte culture of parents were assessed. The obtained results reported that the birth of children with conotruncal heart malformations is associated with the interfering effect of female autoserum on HLA-DR expression on subpopulations of female lymphocytes (CD3+, HLA-DR+) and the activating effect on subpopulations of female lymphocytes (CD3-, HLA-DR+). The observed role of female autoserum in the study group may be associated with the absence of HLA-DR-blocking autoantibodies and high synthesis of cytokines by T2 and T3 helper lymphocytes.Conclusion The effects of female autoserum on allogeneic lymphocyte interactions of parents may be observed in short-term mixed lymphocyte cultures. The evaluation of the activating and interfering effects ensures timely identification of any violations in the humoral regulation of the maternal immune interactions with the HLA semiallogenic fetus, considered as a risk factor for developing sporadic conotruncal heart malformations in the next generation.ĐžŃĐœĐŸĐČĐœŃ‹Đ” ĐżĐŸĐ»ĐŸĐ¶Đ”ĐœĐžŃÂ ĐŸĐŸĐ»ŃƒŃ‡Đ”ĐœĐœŃ‹Đ” ĐŽĐ°ĐœĐœŃ‹Đ” ĐŸŃ€ĐžĐłĐžĐœĐ°Đ»ŃŒĐœĐŸĐłĐŸ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ ĐżĐŸĐ·ĐČĐŸĐ»ŃŃ‚ ĐČыяĐČĐ»ŃŃ‚ŃŒ ĐœĐ°Ń€ŃƒŃˆĐ”ĐœĐžŃ ĐČ ĐłŃƒĐŒĐŸŃ€Đ°Đ»ŃŒĐœĐŸĐč Ń€Đ”ĐłŃƒĐ»ŃŃ†ĐžĐž ĐžĐŒĐŒŃƒĐœĐœŃ‹Ń… ĐČĐ·Đ°ĐžĐŒĐŸĐŽĐ”ĐčстĐČĐžĐč ĐŒĐ°Ń‚Đ”Ń€Đž Đž ĐżĐŸĐ»ŃƒĐ°Đ»Đ»ĐŸĐłĐ”ĐœĐœĐŸĐłĐŸ ĐżĐŸ HLA ŃĐŒĐ±Ń€ĐžĐŸĐœĐ°/ĐżĐ»ĐŸĐŽĐ°, ĐșĐ°Đș фаĐșŃ‚ĐŸŃ€Đ° росĐșĐ° Ń„ĐŸŃ€ĐŒĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ŃĐżĐŸŃ€Đ°ĐŽĐžŃ‡Đ”ŃĐșох ĐżĐŸŃ€ĐŸĐșĐŸĐČ ĐșĐŸĐœĐŸŃ‚Ń€ŃƒĐœĐșуса ĐČ ĐżĐŸŃĐ»Đ”ĐŽŃƒŃŽŃ‰Đ”ĐŒ ĐżĐŸĐșĐŸĐ»Đ”ĐœĐžĐž.ĐŠĐ”Đ»ŃŒÂ Đ˜Đ·ŃƒŃ‡Đ”ĐœĐžĐ” Ń€ĐŸĐ»Đž Đ¶Đ”ĐœŃĐșĐŸĐč Đ°ŃƒŃ‚ĐŸŃŃ‹ĐČĐŸŃ€ĐŸŃ‚ĐșĐž ĐșŃ€ĐŸĐČĐž ĐČ ĐŸĐłŃ€Đ°ĐœĐžŃ‡Đ”ĐœĐžĐž Đ°Đ»Đ»ĐŸĐłĐ”ĐœĐœŃ‹Ń… ĐČĐ·Đ°ĐžĐŒĐŸĐŽĐ”ĐčстĐČĐžĐč ĐČ ĐșратĐșĐŸŃŃ€ĐŸŃ‡ĐœĐŸĐč ĐșŃƒĐ»ŃŒŃ‚ŃƒŃ€Đ” Đ»ĐžĐŒŃ„ĐŸŃ†ĐžŃ‚ĐŸĐČ ŃŃƒĐżŃ€ŃƒĐłĐŸĐČ, ĐžĐŒĐ”ŃŽŃ‰ĐžŃ… ЎДтДĐč с ĐżĐŸŃ€ĐŸĐșĐ°ĐŒĐž ĐșĐŸĐœĐŸŃ‚Ń€ŃƒĐœĐșуса.ĐœĐ°Ń‚Đ”Ń€ĐžĐ°Đ»Ń‹ ĐžÂ ĐŒĐ”Ń‚ĐŸĐŽŃ‹Â Đ”Đ»Ń ĐČŃ‹ĐżĐŸĐ»ĐœĐ”ĐœĐžŃ ĐżĐŸŃŃ‚Đ°ĐČĐ»Đ”ĐœĐœĐŸĐč цДлО ĐŸĐ±ŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐ° 21 ŃĐ”ĐŒĐ”ĐčĐœĐ°Ń пара (ĐŸŃĐœĐŸĐČĐœĐ°Ń группа), ĐžĐŒĐ”ŃŽŃ‰Đ°Ń ЎДтДĐč с ĐżĐŸŃ€ĐŸĐșĐ°ĐŒĐž ĐșĐŸĐœĐŸŃ‚Ń€ŃƒĐœĐșуса (тДтраЎа Đ€Đ°Đ»Đ»ĐŸ) бДз Ń…Ń€ĐŸĐŒĐŸŃĐŸĐŒĐœŃ‹Ń… Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžĐč. ĐšĐŸĐœŃ‚Ń€ĐŸĐ»ŃŒĐœŃƒŃŽ группу ŃĐŸŃŃ‚Đ°ĐČОла 21 ŃĐ”ĐŒŃŒŃ, ĐžĐŒĐ”ŃŽŃ‰Đ°Ń трДх Đž Đ±ĐŸĐ»Đ”Đ” Đ·ĐŽĐŸŃ€ĐŸĐČых ЎДтДĐč. Đ˜ĐŒĐŒŃƒĐœĐœŃ‹Đč ĐŸŃ‚ĐČДт ĐČ ŃĐŒĐ”ŃˆĐ°ĐœĐœĐŸĐč ĐșŃƒĐ»ŃŒŃ‚ŃƒŃ€Đ” Đ»ĐžĐŒŃ„ĐŸŃ†ĐžŃ‚ĐŸĐČ (СКЛ) ŃŃƒĐżŃ€ŃƒĐłĐŸĐČ ĐŸŃ†Đ”ĐœĐžĐČалО ĐżĐŸ уĐČĐ”Đ»ĐžŃ‡Đ”ĐœĐžŃŽ эĐșспрДссОО HLA-DR ĐČ ŃĐŒĐ”ŃˆĐ°ĐœĐœĐŸĐč ĐșŃƒĐ»ŃŒŃ‚ŃƒŃ€Đ” ĐżĐŸ ĐŸŃ‚ĐœĐŸŃˆĐ”ĐœĐžŃŽ Đș ŃĐżĐŸĐœŃ‚Đ°ĐœĐœŃ‹ĐŒ ĐșŃƒĐ»ŃŒŃ‚ŃƒŃ€Đ°ĐŒ Đ»ĐžĐŒŃ„ĐŸŃ†ĐžŃ‚ĐŸĐČ. ĐŸĐ”Ń€ĐČĐžŃ‡ĐœĐ°Ń ĐŸĐșрасĐșĐ° Đ¶Đ”ĐœŃĐșох Đž ĐŒŃƒĐ¶ŃĐșох Đ»ĐžĐŒŃ„ĐŸŃ†ĐžŃ‚ĐŸĐČ ĐŒĐŸĐœĐŸĐșĐ»ĐŸĐœĐ°Đ»ŃŒĐœŃ‹ĐŒĐž Đ°ĐœŃ‚ĐžŃ‚Đ”Đ»Đ°ĐŒĐž Đș CD45, ĐșĐŸĐœŃŠŃŽĐłĐžŃ€ĐŸĐČĐ°ĐœĐœŃ‹ĐŒĐž с Ń€Đ°Đ·Đ»ĐžŃ‡ĐœŃ‹ĐŒĐž Ń„Đ»ŃƒĐŸŃ€Đ”ŃŃ†Đ”ĐœŃ‚ĐœŃ‹ĐŒĐž ĐșŃ€Đ°ŃĐžŃ‚Đ”Đ»ŃĐŒĐž (PC-5 Đž PC-7), ĐżĐŸĐ·ĐČĐŸĐ»ĐžĐ»Đ° ĐŸŃ†Đ”ĐœĐžŃ‚ŃŒ ĐžĐŒĐŒŃƒĐœĐœŃ‹Đč ĐŸŃ‚ĐČДт Đ¶Đ”ĐœŃĐșох Đ»ĐžĐŒŃ„ĐŸŃ†ĐžŃ‚ĐŸĐČ ĐœĐ° ĐŒŃƒĐ¶ŃĐșОД Đž ĐœĐ°ĐŸĐ±ĐŸŃ€ĐŸŃ‚.Đ Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Ń‹Â ĐŸŃ€ĐŸĐČĐ”ĐŽĐ”ĐœĐ° ĐŸŃ†Đ”ĐœĐșĐ° ŃŃ„Ń„Đ”Đșта Đ¶Đ”ĐœŃĐșĐŸĐč Đ°ŃƒŃ‚ĐŸŃŃ‹ĐČĐŸŃ€ĐŸŃ‚ĐșĐž ĐœĐ° СКЛ ŃŃƒĐżŃ€ŃƒĐłĐŸĐČ. Đ Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Ń‹ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ ĐżĐŸĐșазалО, Ń‡Ń‚ĐŸ Ń€ĐŸĐ¶ĐŽĐ”ĐœĐžĐ” ЎДтДĐč с ĐżĐŸŃ€ĐŸĐșĐ°ĐŒĐž ĐșĐŸĐœĐŸŃ‚Ń€ŃƒĐœĐșуса Đ°ŃŃĐŸŃ†ĐžĐžŃ€ĐŸĐČĐ°ĐœĐŸ с Đ±Đ»ĐŸĐșĐžŃ€ŃƒŃŽŃ‰ĐžĐŒ ŃŃ„Ń„Đ”ĐșŃ‚ĐŸĐŒ Đ¶Đ”ĐœŃĐșĐŸĐč Đ°ŃƒŃ‚ĐŸŃŃ‹ĐČĐŸŃ€ĐŸŃ‚ĐșĐž ĐČ ĐŸŃ‚ĐœĐŸŃˆĐ”ĐœĐžĐž эĐșспрДссОО HLA-DR ĐœĐ° ŃŃƒĐ±ĐżĐŸĐżŃƒĐ»ŃŃ†ĐžĐž Đ¶Đ”ĐœŃĐșох Đ»ĐžĐŒŃ„ĐŸŃ†ĐžŃ‚ĐŸĐČ (CD3+, HLA-DR+) Đž Đ°ĐșтоĐČĐžŃ€ŃƒŃŽŃ‰ĐžĐŒ ŃŃ„Ń„Đ”ĐșŃ‚ĐŸĐŒ ĐœĐ° это рДаĐșцоо ĐČ ĐŸŃ‚ĐœĐŸŃˆĐ”ĐœĐžĐž ŃŃƒĐ±ĐżĐŸĐżŃƒĐ»ŃŃ†ĐžĐž Đ¶Đ”ĐœŃĐșох Đ»ĐžĐŒŃ„ĐŸŃ†ĐžŃ‚ĐŸĐČ (CD3-, HLA-DR+). Это ŃŃ„Ń„Đ”Đșты Đ¶Đ”ĐœŃĐșĐŸĐč Đ°ŃƒŃ‚ĐŸŃŃ‹ĐČĐŸŃ€ĐŸŃ‚ĐșĐž ĐČ ĐŸĐżŃ‹Ń‚ĐœĐŸĐč ĐłŃ€ŃƒĐżĐżĐ” ĐŒĐŸĐłŃƒŃ‚ Đ±Ń‹Ń‚ŃŒ сĐČŃĐ·Đ°ĐœŃ‹ с ĐŸŃ‚ŃŃƒŃ‚ŃŃ‚ĐČĐžĐ”ĐŒ Đ±Đ»ĐŸĐșорующох HLA-DR Đ°ŃƒŃ‚ĐŸĐ°ĐœŃ‚ĐžŃ‚Đ”Đ» Đž ĐČŃ‹ŃĐŸĐșĐžĐŒ ŃĐžĐœŃ‚Đ”Đ·ĐŸĐŒ Ń†ĐžŃ‚ĐŸĐșĐžĐœĐŸĐČ Đą2- Đž Đą3-Ń…Đ”Đ»ĐżĐ”Ń€ĐœŃ‹ĐŒĐž Đ»ĐžĐŒŃ„ĐŸŃ†ĐžŃ‚Đ°ĐŒĐž.ЗаĐșĐ»ŃŽŃ‡Đ”ĐœĐžĐ”Â Đ’ ĐșратĐșĐŸŃŃ€ĐŸŃ‡ĐœĐŸĐč СКЛ ĐŸŃ‚Ń€Đ°Đ¶Đ°ŃŽŃ‚ŃŃ ŃŃ„Ń„Đ”Đșты Đ¶Đ”ĐœŃĐșĐŸĐč Đ°ŃƒŃ‚ĐŸŃŃ‹ĐČĐŸŃ€ĐŸŃ‚ĐșĐž ĐșŃ€ĐŸĐČĐž ĐœĐ° Đ°Đ»Đ»ĐŸĐłĐ”ĐœĐœŃ‹Đ” ĐČĐ·Đ°ĐžĐŒĐŸĐŽĐ”ĐčстĐČоя Đ»ĐžĐŒŃ„ĐŸŃ†ĐžŃ‚ĐŸĐČ ŃŃƒĐżŃ€ŃƒĐłĐŸĐČ. Đ˜ŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐ” ĐșĐŸŃŃ„Ń„ĐžŃ†ĐžĐ”ĐœŃ‚Đ° ĐżŃ€ĐžŃ€ĐŸŃŃ‚Đ° Đž Đ±Đ»ĐŸĐșĐžŃ€ŃƒŃŽŃ‰Đ”ĐłĐŸ ĐșĐŸŃŃ„Ń„ĐžŃ†ĐžĐ”ĐœŃ‚Đ° ĐżĐŸĐ·ĐČĐŸĐ»ĐžŃ‚ ĐČыяĐČĐ»ŃŃ‚ŃŒ ĐœĐ°Ń€ŃƒŃˆĐ”ĐœĐžŃ ĐČ ĐłŃƒĐŒĐŸŃ€Đ°Đ»ŃŒĐœĐŸĐč Ń€Đ”ĐłŃƒĐ»ŃŃ†ĐžĐž ĐžĐŒĐŒŃƒĐœĐœŃ‹Ń… ĐČĐ·Đ°ĐžĐŒĐŸĐŽĐ”ĐčстĐČĐžĐč ĐŒĐ°Ń‚Đ”Ń€Đž Đž ĐżĐŸĐ»ŃƒĐ°Đ»Đ»ĐŸĐłĐ”ĐœĐœĐŸĐłĐŸ ĐżĐŸ HLA ŃĐŒĐ±Ń€ĐžĐŸĐœĐ°/ĐżĐ»ĐŸĐŽĐ°, ĐșĐ°Đș фаĐșŃ‚ĐŸŃ€Đ° росĐșĐ° Ń„ĐŸŃ€ĐŒĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ŃĐżĐŸŃ€Đ°ĐŽĐžŃ‡Đ”ŃĐșох ĐżĐŸŃ€ĐŸĐșĐŸĐČ ĐșĐŸĐœĐŸŃ‚Ń€ŃƒĐœĐșуса ĐČ ĐżĐŸŃĐ»Đ”ĐŽŃƒŃŽŃ‰Đ”ĐŒ ĐżĐŸĐșĐŸĐ»Đ”ĐœĐžĐž.

    Use of anticoagulants and antiplatelet agents in stable outpatients with coronary artery disease and atrial fibrillation. International CLARIFY registry

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    Why Are Outcomes Different for Registry Patients Enrolled Prospectively and Retrospectively? Insights from the Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF).

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    Background: Retrospective and prospective observational studies are designed to reflect real-world evidence on clinical practice, but can yield conflicting results. The GARFIELD-AF Registry includes both methods of enrolment and allows analysis of differences in patient characteristics and outcomes that may result. Methods and Results: Patients with atrial fibrillation (AF) and ≄1 risk factor for stroke at diagnosis of AF were recruited either retrospectively (n = 5069) or prospectively (n = 5501) from 19 countries and then followed prospectively. The retrospectively enrolled cohort comprised patients with established AF (for a least 6, and up to 24 months before enrolment), who were identified retrospectively (and baseline and partial follow-up data were collected from the emedical records) and then followed prospectively between 0-18 months (such that the total time of follow-up was 24 months; data collection Dec-2009 and Oct-2010). In the prospectively enrolled cohort, patients with newly diagnosed AF (≀6 weeks after diagnosis) were recruited between Mar-2010 and Oct-2011 and were followed for 24 months after enrolment. Differences between the cohorts were observed in clinical characteristics, including type of AF, stroke prevention strategies, and event rates. More patients in the retrospectively identified cohort received vitamin K antagonists (62.1% vs. 53.2%) and fewer received non-vitamin K oral anticoagulants (1.8% vs . 4.2%). All-cause mortality rates per 100 person-years during the prospective follow-up (starting the first study visit up to 1 year) were significantly lower in the retrospective than prospectively identified cohort (3.04 [95% CI 2.51 to 3.67] vs . 4.05 [95% CI 3.53 to 4.63]; p = 0.016). Conclusions: Interpretations of data from registries that aim to evaluate the characteristics and outcomes of patients with AF must take account of differences in registry design and the impact of recall bias and survivorship bias that is incurred with retrospective enrolment. Clinical Trial Registration: - URL: http://www.clinicaltrials.gov . Unique identifier for GARFIELD-AF (NCT01090362)

    Improved risk stratification of patients with atrial fibrillation: an integrated GARFIELD-AF tool for the prediction of mortality, stroke and bleed in patients with and without anticoagulation.

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    OBJECTIVES: To provide an accurate, web-based tool for stratifying patients with atrial fibrillation to facilitate decisions on the potential benefits/risks of anticoagulation, based on mortality, stroke and bleeding risks. DESIGN: The new tool was developed, using stepwise regression, for all and then applied to lower risk patients. C-statistics were compared with CHA2DS2-VASc using 30-fold cross-validation to control for overfitting. External validation was undertaken in an independent dataset, Outcome Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF). PARTICIPANTS: Data from 39 898 patients enrolled in the prospective GARFIELD-AF registry provided the basis for deriving and validating an integrated risk tool to predict stroke risk, mortality and bleeding risk. RESULTS: The discriminatory value of the GARFIELD-AF risk model was superior to CHA2DS2-VASc for patients with or without anticoagulation. C-statistics (95% CI) for all-cause mortality, ischaemic stroke/systemic embolism and haemorrhagic stroke/major bleeding (treated patients) were: 0.77 (0.76 to 0.78), 0.69 (0.67 to 0.71) and 0.66 (0.62 to 0.69), respectively, for the GARFIELD-AF risk models, and 0.66 (0.64-0.67), 0.64 (0.61-0.66) and 0.64 (0.61-0.68), respectively, for CHA2DS2-VASc (or HAS-BLED for bleeding). In very low to low risk patients (CHA2DS2-VASc 0 or 1 (men) and 1 or 2 (women)), the CHA2DS2-VASc and HAS-BLED (for bleeding) scores offered weak discriminatory value for mortality, stroke/systemic embolism and major bleeding. C-statistics for the GARFIELD-AF risk tool were 0.69 (0.64 to 0.75), 0.65 (0.56 to 0.73) and 0.60 (0.47 to 0.73) for each end point, respectively, versus 0.50 (0.45 to 0.55), 0.59 (0.50 to 0.67) and 0.55 (0.53 to 0.56) for CHA2DS2-VASc (or HAS-BLED for bleeding). Upon validation in the ORBIT-AF population, C-statistics showed that the GARFIELD-AF risk tool was effective for predicting 1-year all-cause mortality using the full and simplified model for all-cause mortality: C-statistics 0.75 (0.73 to 0.77) and 0.75 (0.73 to 0.77), respectively, and for predicting for any stroke or systemic embolism over 1 year, C-statistics 0.68 (0.62 to 0.74). CONCLUSIONS: Performance of the GARFIELD-AF risk tool was superior to CHA2DS2-VASc in predicting stroke and mortality and superior to HAS-BLED for bleeding, overall and in lower risk patients. The GARFIELD-AF tool has the potential for incorporation in routine electronic systems, and for the first time, permits simultaneous evaluation of ischaemic stroke, mortality and bleeding risks. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier for GARFIELD-AF (NCT01090362) and for ORBIT-AF (NCT01165710)

    Two-year outcomes of patients with newly diagnosed atrial fibrillation: results from GARFIELD-AF.

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    AIMS: The relationship between outcomes and time after diagnosis for patients with non-valvular atrial fibrillation (NVAF) is poorly defined, especially beyond the first year. METHODS AND RESULTS: GARFIELD-AF is an ongoing, global observational study of adults with newly diagnosed NVAF. Two-year outcomes of 17 162 patients prospectively enrolled in GARFIELD-AF were analysed in light of baseline characteristics, risk profiles for stroke/systemic embolism (SE), and antithrombotic therapy. The mean (standard deviation) age was 69.8 (11.4) years, 43.8% were women, and the mean CHA2DS2-VASc score was 3.3 (1.6); 60.8% of patients were prescribed anticoagulant therapy with/without antiplatelet (AP) therapy, 27.4% AP monotherapy, and 11.8% no antithrombotic therapy. At 2-year follow-up, all-cause mortality, stroke/SE, and major bleeding had occurred at a rate (95% confidence interval) of 3.83 (3.62; 4.05), 1.25 (1.13; 1.38), and 0.70 (0.62; 0.81) per 100 person-years, respectively. Rates for all three major events were highest during the first 4 months. Congestive heart failure, acute coronary syndromes, sudden/unwitnessed death, malignancy, respiratory failure, and infection/sepsis accounted for 65% of all known causes of death and strokes for <10%. Anticoagulant treatment was associated with a 35% lower risk of death. CONCLUSION: The most frequent of the three major outcome measures was death, whose most common causes are not known to be significantly influenced by anticoagulation. This suggests that a more comprehensive approach to the management of NVAF may be needed to improve outcome. This could include, in addition to anticoagulation, interventions targeting modifiable, cause-specific risk factors for death. CLINICAL TRIAL REGISTRATION: http://www.clinicaltrials.gov. Unique identifier: NCT01090362

    Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry.

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    BACKGROUND: The Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. METHODS AND RESULTS: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012-2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P < 0.001). Diabetes and coronary artery disease (CAD) were prevalent in 36.2% and 28.1% of patients as compared with global prevalence of 22.2% and 21.6%, respectively (P < 0.001 for both). Antiplatelet therapy was the most common antithrombotic treatment in India. With increasing stroke risk, however, patients were more likely to receive oral anticoagulant therapy [mainly vitamin K antagonist (VKA)], but average international normalized ratio (INR) was lower among Indian patients [median INR value 1.6 (interquartile range {IQR}: 1.3-2.3) versus 2.3 (IQR 1.8-2.8) (P < 0.001)]. Compared with other countries, patients from India had markedly higher rates of all-cause mortality [7.68 per 100 person-years (95% confidence interval 6.32-9.35) vs 4.34 (4.16-4.53), P < 0.0001], while rates of stroke/systemic embolism and major bleeding were lower after 1 year of follow-up. CONCLUSION: Compared to previously published registries from India, the GARFIELD-AF registry describes clinical profiles and outcomes in Indian patients with AF of a different etiology. The registry data show that compared to the rest of the world, Indian AF patients are younger in age and have more diabetes and CAD. Patients with a higher stroke risk are more likely to receive anticoagulation therapy with VKA but are underdosed compared with the global average in the GARFIELD-AF. CLINICAL TRIAL REGISTRATION-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01090362
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