Published online: 2019-06-14
DOI: 10.24075/brsmu.2019.039
Generalized chronic periodontitis (GCP) is a widespread disease. It has a serious negative impact on the quality of a patient’s life, posing a challenge to dentists all over the world. At present, standard therapy regimens for GCP adopted in the Russian Federation do not account for the mucosal barrier state, which is determined by a number of various factors, including the levels of secretory immunoglobulin A (sIgA). In our study, we attempted to assess the functional state of the mucosal barrier in patients with GCP and to provide a rationale for using immunotherapy aimed at restoring the effective barrier function of the oral mucosa. SIgA concentrations, which served as an indicator of the mucosal barrier state, were measured with ELISA. We found that patients with GCP had significantly lower sIgA concentrations in the oral fluid in comparison with healthy individuals. Although therapeutic procedures did help to increase sIgA levels, they still were much lower after therapy than in healthy volunteers (54.6 ± 30.5 µg/ml vs 151.2 ± 105.2 µg/ml). Increased permeability of the mucosal barrier caused sIgA to leak into the peripheral blood serum, where its concentration grew from 0.21 ± 0.28 µg/ml to 0.35 ± 0.47 µg/ml during the treatment course, suggesting damage to the mucosal integrity. This fact needs to be accounted for when treating patients with GCP.
Published online: 2019-05-29
DOI: 10.24075/brsmu.2019.037
The existing emotion recognition techniques based on the analysis of the tone of voice or facial expressions do not possess sufficient specificity and accuracy. These parameters can be significantly improved by employing physiological signals that escape the filters of human consciousness. The aim of this work was to carry out an EEG-based binary classification of emotional valence using a convolutional neural network and to compare its performance to that of a random forest algorithm. A healthy 30-year old male was recruited for the experiment. The experiment included 10 two-hour-long sessions of watching videos that the participant had selected according to his personal preferences. During the sessions, an electroencephalogram was recorded. Then, the signal was cleared of artifacts, segmented and fed to the model. Using a neural network, we were able to achieve a F1 score of 87%, which is significantly higher than the F1 score for a random forest model (67%). The results of our experiment suggest that convolutional neural networks in general and the proposed architecture in particular hold great promise for emotion recognition based on electrophysiological signals. Further refinement of the proposed approach may involve optimization of the network architecture to include more classes of emotions and improvement of the network’s generalization capacity when working with a large number of participants.


Published online: 2018-10-16
DOI: 10.24075/brsmu.2018.052
The editing of the CCR5 gene in the CD4+ T cell genome is an effective way of preventing HIV-1 proliferation. Very similar strategies can be used to protect the fetus of an HIV-infected female showing a weak response to antiretroviral therapy. Inducing the “natural” CCR5delta32 mutation in a zygote may guard the fetus against HIV infection both in utero and at birth. In this study, we optimize the CRISPR-Cas9 system to induce a homozygous 32-nt deletion similar to the naturally occurring CCR5delta32 allele in the human zygote at the S-phase. Edits were done in the abnormal tripronuclear zygotes unsuitable for IVF. Sixteen tripronuclear zygotes in the S-phase obtained from WT CCR5 donors were injected with an original CRISPR-Cas9 system designed by the authors. Upon injection, the zygotes were transferred into the Blastocyst (COOK) embryo culture medium and cultured for 5 days in a CO2 incubator until blastocysts were formed (approximately 250 cells). Eight zygotes that successfully developed into blastocysts were PCR-genotyped to analyze the efficacy of genome editing. Of 16 zygotes injected with CRISPR-Cas9, only 8 reached the blastocyst stage. PCR genotyping revealed the absence of the initial WT CCR5 variant in 5 of 8 blastocysts (100% CCR5delta32 homozygous). Two had about 3% and one about 20% of WT CCR5 mosaicism. This leads us to conclude that the efficacy of the proposed CRISPR-Cas9 system for the induction of the CCR5delta32 mutation in human embryos is very high producing more than 50% of completely modified embryos.
VIEWS 1871
Published online: 2018-10-20
DOI: 10.24075/brsmu.2018.054
To understand how vulnerable are a society, an economy and a state in the face of a biohazard, one should attempt to identify any potential holes in the national biosafety system, such as the lack of important components or technologies for biological monitoring and the inadequacy of existing analytical methods used to prevent or counteract biogenic threats. In Russia, biological monitoring is quite advanced. However, the agencies that ensure proper functioning of its components lack collaboration and do not form a well-coordinated network. Each of such agencies alone cannot provide comprehensive information on the subject. In the Russian Federation, there are at least 4 state-funded programs that collect epidemiological data and are quite efficient in performing the narrow task of monitoring infections. But because there is no central database where epidemiological data can be channeled and subsequently shared, these agencies do not complete each other. This leaves the Russian society, economy and state vulnerable to biogenic threats. We need an adequately organized, modern, fully functional and effective system for monitoring biohazards that will serve as a basis for the national biosafety system and also a tool for the identification and elimination of its weaknesses.
Dear researcher!
At the end of 2015, Bulletin of RSMU saw an important change in its typographic design and content. We formulated new editorial policies and established strict ethical standards for submitted manuscripts in accordance with the guidelines of reputable international bodies. As a result, about a quarter of the submitted works have been rejected, the primary reason being the author trying to submit a previously published article. Sometimes authors believe that by making slight changes to the introduction, excluding a few people from the study, performing a new statistical analysis, and thus obtaining totally new results they will turn their old manuscript into a novel work. That is why we would like to talk about scientific integrity, honesty, plagiarism, and self-plagiarism in our special project “Author’s work”.
Richard FEYNMAN Cargo cult science
American physicist Richard P. Feynman, a Nobel laureate, was always very scrupulous about the quality of a research study. During his commencement address at the California Institute of Technology in 1974, he talked about scientific integrity and honesty and warned young researchers “not to fool” themselves. A must-read for anyone who believes he/she is a true scientist.
Ivan PAVLOV On the Russian mind
In 1918, Russian physiologist Ivan Pavlov, a Nobel laureate, delivered two lectures: on the mind in general and the Russian mind in particular; on those mind qualities that determine the success of a research work and on how these qualities are present in the Russian mind. Pavlov's thoughts are an effective vaccine against poor intellectual work.
2019-03-31 OUR NEWS
Update regulations - Fast-Track

Thanks to APC, we have significantly enhanced the work of the editorial board and are finally able to introduce a normal (international) fast track! For articles submitted after 01 Apr 2019, the editors promise to maintain the following time limit: editorial rejection - 3 days after submission, decision - 2 weeks after submission, online publication - 4 weeks after submission.

2018-12-01 OUR NEWS
All articles now a fee-based

In connection with the decrease in University support of the journal, from 2019 the journal will charge for all published articles (except for editorial reviews). Since 2019, the size of the fee will be: if source of funding indicated in the article - USD 700, if not - USD 400. New fee will be charged for publications received after 01/12/2018.