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Institution

I.M. Sechenov First Moscow State Medical University

EducationMoscow, Russia
About: I.M. Sechenov First Moscow State Medical University is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Medicine & Population. The organization has 7984 authors who have published 9355 publications receiving 68997 citations.
Topics: Medicine, Population, Cancer, Disease, Blood pressure


Papers
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Journal ArticleDOI
01 Jul 2017-Genomics
TL;DR: The development of an online Java-based software for virtual PCR on linear or circular DNA templates and multiple primer or probe search from large or small databases is reported.

117 citations

Journal ArticleDOI
TL;DR: This in vitro study assesses the accuracy of 5 different IOSs in the impressions of single and multiple implants, and finds a significant difference in trueness was found between the contexts.
Abstract: Until now, a few studies have addressed the accuracy of intraoral scanners (IOSs) in implantology. Hence, the aim of this in vitro study was to assess the accuracy of 5 different IOSs in the impressions of single and multiple implants, and to compare them. Plaster models were prepared, representative of a partially edentulous maxilla (PEM) to be restored with a single crown (SC) and a partial prosthesis (PP), and a totally edentulous maxilla (TEM) to be restored with a full-arch (FA). These models were scanned with a desktop scanner, to capture reference models (RMs), and with 5 IOSs (CS 3600®, Trios3®, Omnicam®, DWIO®, Emerald®); 10 scans were taken for each model, using each IOS. All IOS datasets were loaded into a reverse-engineering software where they were superimposed on the corresponding RMs, to evaluate trueness, and superimposed on each other within groups, to determine precision. A statistical analysis was performed. In the SC, CS 3600® had the best trueness (15.2 ± 0.8 μm), followed by Trios3® (22.3 ± 0.5 μm), DWIO® (27.8 ± 3.2 μm), Omnicam® (28.4 ± 4.5 μm), Emerald® (43.1 ± 11.5 μm). In the PP, CS 3600® had the best trueness (23 ± 1.1 μm), followed by Trios3® (28.5 ± 0.5 μm), Omnicam® (38.1 ± 8.8 μm), Emerald® (49.3 ± 5.5 μm), DWIO® (49.8 ± 5 μm). In the FA, CS 3600® had the best trueness (44.9 ± 8.9 μm), followed by Trios3® (46.3 ± 4.9 μm), Emerald® (66.3 ± 5.6 μm), Omnicam® (70.4 ± 11.9 μm), DWIO® (92.1 ± 24.1 μm). Significant differences were found between the IOSs; a significant difference in trueness was found between the contexts (SC vs. PP vs. FA). In the SC, CS 3600® had the best precision (11.3 ± 1.1 μm), followed by Trios3® (15.2 ± 0.8 μm), DWIO® (27.1 ± 10.7 μm), Omnicam® (30.6 ± 3.3 μm), Emerald® (32.8 ± 10.7 μm). In the PP, CS 3600® had the best precision (17 ± 2.3 μm), followed by Trios3® (21 ± 1.9 μm), Emerald® (29.9 ± 8.9 μm), DWIO® (34.8 ± 10.8 μm), Omnicam® (43.2 ± 9.4 μm). In the FA, Trios3® had the best precision (35.6 ± 3.4 μm), followed by CS 3600® (35.7 ± 4.3 μm), Emerald® (61.5 ± 18.1 μm), Omnicam® (89.3 ± 14 μm), DWIO® (111 ± 24.8 μm). Significant differences were found between the IOSs; a significant difference in precision was found between the contexts (SC vs. PP vs. FA). The IOSs showed significant differences between them, both in trueness and in precision. The mathematical error increased in the transition from SC to PP up to FA, both in trueness than in precision.

117 citations

Journal ArticleDOI
TL;DR: The transfer of mitochondria from multipotent mesenchymal stem cells (MMSC) to neural cells is explored and its efficacy under normal conditions and upon induction of mitochondrial damage is analyzed and it is found that mitochondria were transferred from the MMSC to astrocytes in a more efficient manner when the astroCytes were exposed to ischemic damage associated with elevated ROS levels.
Abstract: A recently discovered key role of reactive oxygen species (ROS) in mitochondrial traffic has opened a wide alley for studying the interactions between cells, including stem cells. Since its discovery in 2006, intercellular mitochondria transport has been intensively studied in different cellular models as a basis for cell therapy, since the potential of replacing malfunctioning organelles appears to be very promising. In this study, we explored the transfer of mitochondria from multipotent mesenchymal stem cells (MMSC) to neural cells and analyzed its efficacy under normal conditions and upon induction of mitochondrial damage. We found that mitochondria were transferred from the MMSC to astrocytes in a more efficient manner when the astrocytes were exposed to ischemic damage associated with elevated ROS levels. Such transport of mitochondria restored the bioenergetics of the recipient cells and stimulated their proliferation. The introduction of MMSC with overexpressed Miro1 in animals that had undergone an experimental stroke led to significantly improved recovery of neurological functions. Our data suggest that mitochondrial impairment in differentiated cells can be compensated by receiving healthy mitochondria from MMSC. We demonstrate a key role of Miro1, which promotes the mitochondrial transfer from MMSC and suggest that the genetic modification of stem cells can improve the therapies for the injured brain.

117 citations

Journal ArticleDOI
TL;DR: It is found that the pre-established IFN status of the cell, instead of LPS-induced IFN, is critical for the early initiation of necroptosis in macrophages, providing a link between pathological IFN and tissue damage during autoimmunity.
Abstract: Interferons (IFNs) are critical determinants in immune-competence and autoimmunity, and are endogenously regulated by a low-level constitutive feedback loop. However, little is known about the functions and origins of constitutive IFN. Recently, lipopolysaccharide (LPS)-induced IFN was implicated as a driver of necroptosis, a necrotic form of cell death downstream of receptor-interacting protein (RIP) kinase activation and executed by mixed lineage kinase like-domain (MLKL) protein. We found that the pre-established IFN status of the cell, instead of LPS-induced IFN, is critical for the early initiation of necroptosis in macrophages. This pre-established IFN signature stems from cytosolic DNA sensing via cGAS/STING, and maintains the expression of MLKL and one or more unknown effectors above a critical threshold to allow for MLKL oligomerization and cell death. Finally, we found that elevated IFN-signaling in systemic lupus erythematosus (SLE) augments necroptosis, providing a link between pathological IFN and tissue damage during autoimmunity.

116 citations

Journal ArticleDOI
TL;DR: One in five adult Russians had pre-diabetes, 5.4% had T2DM and about half of the diabetic subjects were previously undiagnosed, demonstrating the need for new programs in the Russian Federation to predict, prevent and manage type 2 diabetes mellitus.
Abstract: Aim . To estimate the prevalence of type 2 diabetes mellitus (T2DM) in Russian adults. Materials and methods . NATION was a national, epidemiological, observational, cross-sectional study. The sample of adults (20–79 years old) was stratified by age, sex, geographic region and settlement type to obtain a representative sample. Recruitment was performed in public areas with large number of people. T2DM was diagnosed by glycated haemoglobin A1c (HbA1c) levels (diabetes: HbA1c≥6.5%; pre-diabetes: HbA1c≥5.7% to <6.5%). Socio-demographic and anthropometric data were collected. Results . Blood samples from 26,620 subjects were available. Overall, 5.4% were diagnosed with T2DM (2.5% were previously diagnosed and 2.9% were previously undiagnosed); 19.3% were pre-diabetic. T2DM prevalence increased with age (up to 70 years), and no significant difference was revealed between females and males (5.6% vs. 5.1%). The estimated prevalence of pre-diabetes and T2DM tended to increase with increasing BMI. T2DM prevalence varied by geographic region and was higher in rural areas than in urban areas (6.7% vs. 5.0%, p < 0.001). Conclusion . Approximately one in five adult Russians had pre-diabetes, 5.4% had T2DM and about half of the diabetic subjects were previously undiagnosed. These results demonstrate the need for new programs in the Russian Federation to predict, prevent and manage T2DM.

116 citations


Authors

Showing all 8045 results

NameH-indexPapersCitations
Yehuda Shoenfeld125162977195
Jatin P. Shah11972545680
Shahrokh F. Shariat118163758900
Vladimir P. Torchilin10962758977
Klaus-Peter Lesch10652450099
Jürgen Kurths105103862179
Rudolf Valenta10274838349
Valerian E. Kagan9766739888
Hans-Uwe Simon9646151698
Gleb B. Sukhorukov9644035549
Michael Aschner9180632826
Alexei Verkhratsky8945029788
Claudio L. Bassetti8852425332
Helgi B. Schiöth8553128628
Angelo Ravelli7941523439
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
2022102
20212,198
20202,343
20191,649
20181,064