119 research outputs found
THE POSTULATES OF THE ORGANIZATION OF THE GAME ACTIVITY A. S. MAKARENKO IN THE MODERN CAREER GUIDANCE GAME Β«PROFESSIONS OF THE FUTUREΒ»
Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ Π±Π°Π·ΠΎΠ²ΡΠ΅ ΠΏΠΎΡΡΡΠ»Π°ΡΡ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΠΈΠ³ΡΠΎΠ²ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π. Π‘. ΠΠ°ΠΊΠ°ΡΠ΅Π½ΠΊΠΎ ΠΏΡΠΈΠΌΠ΅Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΏΡΠΎΡΠΎΡΠΈΠ΅Π½ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΈΠ³ΡΠ΅ Β«ΠΡΠΎΡΠ΅ΡΡΠΈΠΈ Π±ΡΠ΄ΡΡΠ΅Π³ΠΎΒ». ΠΠΎΡΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π±ΡΠ΄ΡΡΠ΅Π³ΠΎ Π΄Π΅ΡΡΠ΅Π»Ρ Π½Π°ΡΠΈΠ½Π°Π΅ΡΡΡ Π² ΠΈΠ³ΡΠ΅, ΠΊΠ°ΠΊΠΎΠ² ΡΠ΅Π±Π΅Π½ΠΎΠΊ Π² ΠΈΠ³ΡΠ΅, ΡΠ°ΠΊΠΎΠ² ΠΎΠ½ Π±ΡΠ΄Π΅Ρ ΠΈ Π² ΡΠ°Π±ΠΎΡΠ΅. ΠΠ°ΠΆΠ½ΠΎ, Ρ ΠΊΠ΅ΠΌ ΠΎΠ½ ΠΈΠ³ΡΠ°Π΅Ρ ΠΈ Π²ΠΎ ΡΡΠΎ ΠΈΠ³ΡΠ°Π΅Ρ. ΠΠ³ΡΡΡΠΊΠ° ΡΠΎΠ³Π΄Π° Ρ
ΠΎΡΠΎΡΠ°, ΠΊΠΎΠ³Π΄Π° ΡΠ΅Π±Π΅Π½ΠΎΠΊ Π½Π΅ ΠΈΠ³ΡΠ°Π΅Ρ, Π° Π΄Π΅ΠΉΡΡΠ²ΡΠ΅Ρ. ΠΠΈΠ΄Ρ ΠΈΠ³ΡΡΡΠ΅ΠΊ: Π³ΠΎΡΠΎΠ²Π°Ρ, ΠΏΠΎΠ»ΡΠ³ΠΎΡΠΎΠ²Π°Ρ, ΠΈΠ³ΡΠ°-ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π». ΠΠ°ΠΆΠ½ΠΎ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°ΡΡ ΠΈΠ³ΡΡΡΠΊΠΈ. ΠΠ΅Π΄Π°Π³ΠΎΠ³ Π½Π΅ ΠΌΠΎΠΆΠ΅Ρ Π½Π΅ ΠΈΠ³ΡΠ°ΡΡ, Π½Π΅ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Π°, ΠΊΠΎΡΠΎΡΡΠΉ Π½Π΅ ΡΠΌΠ΅Π» Π±Ρ ΠΈΠ³ΡΠ°ΡΡThe article discusses the basic tenets of the organization, gaming activities of A. S. Makarenko in relation to modern career guidance game "Professions of the Future": education of the future the doer begins in the game: what is the child in the game, so will he be in the work, it is important: with whom he plays and what he plays with, the toy is then good when the child is not plays and acts. types of toys: ready, semi-ready, game material. It is important to combine toys. teacher can not play
Analysis of mortality at non-Hodgkin lymphomas in the unit of cancer chemotherapy of Irkutsk Regional Oncologic Dispensary in 2011-2013
We analyzed 29 fatal cases caused by non-Hodgkin lymphomas in the hospital. 89 % of deceased had advanced malignancy, morphologically aggressive type, 86,2 % had initially unfavorable prognosis for a disease. The most common cause of death was sepsis (55 %). The most often source of infection were pneumonia (68,8 %) and gastrointestinal tract (31,3 %). The frequency of decompensated hemorrhagic shock of patients died of non-Hodgkin lymphomas was 24 %. Tumor lysis syndrome was the cause of hospital mortality of non-Hodgkin lymphomas in 17 % of cases
Control of microimpurities emitted from polymer construction materials based on polyvinyl chloride
The aim of this article is to improve the degree control of microimpurities emitted from polymeric construction materials into the environment. It is proposed to do this through the modification of the physicochemical nature of the original (source) sorbent and, as a consequence, the improvement of the sorption capacity and the extraction ratio of highly volatile toxic substances. The proposed concentrator columns can be widely used in the analysis of microimpurities of polar organic substances released into the environment from polymeric construction materials based on polyvinyl chloride
Control of microimpurities emitted from polymer construction materials based on polyvinyl chloride
The aim of this article is to improve the degree control of microimpurities emitted from polymeric construction materials into the environment. It is proposed to do this through the modification of the physicochemical nature of the original (source) sorbent and, as a consequence, the improvement of the sorption capacity and the extraction ratio of highly volatile toxic substances. The proposed concentrator columns can be widely used in the analysis of microimpurities of polar organic substances released into the environment from polymeric construction materials based on polyvinyl chloride
Flexible piezoresistive sensor matrix based on a carbon nanotube PDMS composite for dynamic pressure distribution measurement
A highly flexible, piezoresistive sensor matrix based on a carbon nanotube
(CNT) polymer composite is developed for pressure distribution measurement
applications. With an overall height of about 400 Β΅m, the sensors can
measure pressure directly, without any deformation elements, such as a
cantilever or a deformation membrane. The measurement range is from 2.5 to
640 kPa. Both the position and the pressure of the applied load can be
measured and visualized as a resistance change. The relative resistance
measurement deviation of the data acquisition system is lower than 3 % for
the resistance range of 610Ξ© to 380 kΞ©. This corresponds to
a systematic deviation of pressure measurement of less than 3 % in the
measurement range. Besides the measurement of pressure, different sizes of
loads can be detected as well. The developed fast and compact measurement
system allows dynamic pressure measurement, such as gait analysis when used
in an insole application.</p
Challenging vertical turbulence mixing schemes in a tidally energetic environment: 1. 3βD shelfβsea model assessment
Mixing in the ocean and shelf seas is critical for the vertical distribution of dynamically active properties, such as density and biogeochemical tracers. Eight different decadal simulations are used to assess the skill of vertical turbulent mixing schemes (TMS) in a 3βD regional model of tidally active shelf seas. The TMS differ in the type of stability functions used and in the Ozmidov/Deardorff/Galperin limiter of the turbulence length scales. We review the dependence of the critical Richardson and Prandtl numbers to define the βdiffusivenessβ of the TMS. The skill in representing bias and variability of stratification profiles is assessed with five different metrics: surface and bottom temperatures and pycnocline depth, thickness, and strength. The assessment is made against hydrography from three data sets (28,000 profiles in total). Bottom and surface temperatures are found to be as sensitive to TMS choice as to horizontal resolution or heat flux formulation, as reported in other studies. All TMS underrepresent the pycnocline depth and benthic temperatures. This suggests physical processes are missing from the model, and these are discussed. Different TMSs show the best results for different metrics, and there is no outright winner. Simulations coupled with an ecosystem model show the choice of TMS strongly affects the ecosystem behavior: shifting the timing of peak chlorophyll by 1 month, showing regional chlorophyll differences of order 100%, and redistributing the production of chorophyll between the pycnocline and mixed layer
Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ ΡΡΠ»ΠΎΠ²ΠΈΠΉ Π½Π°Π½ΠΎΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ Π² ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΈΠΌΠΌΡΠ½ΠΎΠ³Π»ΠΎΠ±ΡΠ»ΠΈΠ½Π° G ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π΄Π»Ρ Π²Π½ΡΡΡΠΈΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ
Scientific relevance. Medicinal products based on immunoglobulin class G (IgG) from human plasma are widely used in clinical practice to treat bacterial and viral infections, primary and secondary immunodeficiencies, and autoimmune diseases. Nanofiltration is a way to mitigate the risk of in-process contamination of raw materials with various pathogens, including viruses. Therefore, it is relevant to investigate the development and implementation of additional viral inactivation and/or elimination steps.Aim. This study aimed to develop and validate optimum nanofiltration conditions and to scale up the nanofiltration step for the manufacturing of human IgG for intravenous administration.Materials and methods. The study used a solution ofΒ IgG Β fromΒ plasmaΒ fractionsΒ IIΒ andΒ III. The authors paired nanofilters manufactured by Planova 20N and BioEx (Asahi Kasei, Japan), Viresolve Pro (Merck Millipore, USA), Virosart HC and HF (Sartorius, Germany), and PegasusΒ SV4 and Prime (Pall, USA) with Sartopore polyethersulphone prefilters by Sartorius (Germany), Virosart MAX polyamide prefilters by Sartorius (Germany), and EKX-P regenerated cellulose prefilters by Pall (Germany). Virus reduction validation studies were performed with model viruses (human immunodeficiency virus type 1, porcine transmissible gastroenteritis virus, porcine parvovirus, murine encephalomyocarditis virus, and bovine viral diarrhoea virus) in the laboratories of the N.F. Gamaleya centre. The sample data analysis involved calculating mean values with 95% confidence intervals.Results. For all the selected combinations of prefilters and filters, the maximum nanofiltration throughput depended on the IgG concentration in the test solution. With the combination of an EKX-P filter with a Pegasus SV4 nanofilter, the maximum throughput and the IgG yield reached 6300 g/m2 and 95%, respectively. When combined with a Planova 20N nanofilter, EKX-P and Sartopore (polyethersulphone) filters provided a maximum throughput of up to 2980 g/m2 and an IgG yield of almost 100%, provided that the test solution had an IgG concentration of 10 g/L. With different filter combinations, virus reduction levels ranged from 4.00Β±0.05 to 4.75Β±0.04 log10Β for human immunodeficiency virus type 1, from 4.30Β±0.04 to 4.55Β±0.06 log10 for porcine transmissible gastroenteritis virus, from 5.38Β±0.08 log10Β to 5.57Β±0.04 log10Β for murine encephalomyocarditis virus, 5.12Β±0.10 log10 to 5.25Β±0.08 log10 for porcine parvovirus, and exceeded 5.00 log10 for bovine viral diarrhoea virus. The virus reduction levels achieved were not statistically associated with prefilter brands.Conclusions. The study demonstrated that nanofiltration was effective at removingΒ viruses with various virion sizes and physicochemical characteristics, including viruses as small as parvovirus B19. The levels of virus reduction exceeded 4 log10 and met the acceptance criteria.The laboratory-scale nanofiltration parameters and the corresponding filtration times, as well as IgG yields, did not change when the process was scaled up. Therefore, nanofiltration is an effective and productive technique that helps eliminate various types of viruses and considerably improve viral safety without affecting the quality of biological medicinal products.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. ΠΠ΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΈΠΌΠΌΡΠ½ΠΎΠ³Π»ΠΎΠ±ΡΠ»ΠΈΠ½Π° G (IgG) ΠΈΠ· ΠΏΠ»Π°Π·ΠΌΡ ΠΊΡΠΎΠ²ΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΡΠΈΡΠΎΠΊΠΎ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΡΡ Π² ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Π±Π°ΠΊΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΈ Π²ΠΈΡΡΡΠ½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ, ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΡ
ΠΈ Π²ΡΠΎΡΠΈΡΠ½ΡΡ
ΠΈΠΌΠΌΡΠ½ΠΎΠ΄Π΅ΡΠΈΡΠΈΡΠΎΠ², Π°ΡΡΠΎΠΈΠΌΠΌΡΠ½Π½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ. Π‘Π½ΠΈΠ·ΠΈΡΡ ΡΠΈΡΠΊ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΊΠΎΠ½ΡΠ°ΠΌΠΈΠ½Π°ΡΠΈΠΈ ΡΡΡΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π°ΠΌΠΈ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Π²ΠΈΡΡΡΠ°ΠΌΠΈ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΏΡΠΎΡΠ΅ΡΡ Π½Π°Π½ΠΎΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ. ΠΠ»Ρ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ Π²ΠΈΡΡΡΠ½ΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΡΠ°ΠΏΠΎΠ² ΠΈΠ½Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠΈ ΠΈ (ΠΈΠ»ΠΈ) ΡΠ»ΠΈΠΌΠΈΠ½Π°ΡΠΈΠΈ Π²ΠΈΡΡΡΠΎΠ².Π¦Π΅Π»Ρ. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π½Π°Π½ΠΎΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ, Π²Π°Π»ΠΈΠ΄Π°ΡΠΈΡ ΠΈ ΠΌΠ°ΡΡΡΠ°Π±ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π°Π½Π½ΠΎΠΉ ΡΡΠ°Π΄ΠΈΠΈ Π΄Π»ΡΒ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π°Β Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎΒ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°Β ΠΈΠΌΠΌΡΠ½ΠΎΠ³Π»ΠΎΠ±ΡΠ»ΠΈΠ½Π° G ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π΄Π»Ρ Π²Π½ΡΡΡΠΈΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π Π°ΡΡΠ²ΠΎΡ IgG ΠΈΠ· ΡΡΠ°ΠΊΡΠΈΠΈ II+III ΠΏΠ»Π°Π·ΠΌΡ ΠΊΡΠΎΠ²ΠΈ, Π½Π°Π½ΠΎΡΠΈΠ»ΡΡΡΡ Planova β 20N ΠΈ BioEx (Asahi Kasei, Π―ΠΏΠΎΠ½ΠΈΡ), Viresolve Pro (Merck Millipore, Π‘Π¨Π), Virosart β HC ΠΈ HF (Sartorius, ΠΠ΅ΡΠΌΠ°Π½ΠΈΡ), Pegasus β SV4 ΠΈ Prime (Pall, Π‘Π¨Π), ΠΏΡΠ΅Π΄ΡΠΈΠ»ΡΡΡΡ Sartopore ΠΈΠ· ΠΏΠΎΠ»ΠΈΡΡΠΈΡΡΡΠ»ΡΡΠΎΠ½Π°, Virosart MAX (Sartorius,Β ΠΠ΅ΡΠΌΠ°Π½ΠΈΡ)Β ΠΈΠ·Β ΠΏΠΎΠ»ΠΈΠ°ΠΌΠΈΠ΄Π°,Β EKX-PΒ (Pall,Β ΠΠ΅ΡΠΌΠ°Π½ΠΈΡ) ΠΈΠ· ΡΠ΅Π³Π΅Π½Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠ΅Π»Π»ΡΠ»ΠΎΠ·Ρ. ΠΠ°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ Π²Π°Π»ΠΈΠ΄Π°ΡΠΈΠΈ Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΡΠ΅Π΄ΡΠΊΡΠΈΠΈ Π²ΡΠΏΠΎΠ»Π½ΡΠ»ΠΈ Ρ ΠΌΠΎΠ΄Π΅Π»ΡΠ½ΡΠΌΠΈ ΡΠ΅ΡΡ-Π²ΠΈΡΡΡΠ°ΠΌΠΈ (ΠΠΠ§-1, ΡΡΠ°Π½ΡΠΌΠΈΡΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π³Π°ΡΡΡΠΎΡΠ½ΡΠ΅ΡΠΈΡΠ° (ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ°) ΡΠ²ΠΈΠ½Π΅ΠΉ, ΠΏΠ°ΡΠ²ΠΎΠ²ΠΈΡΡΡ ΡΠ²ΠΈΠ½Π΅ΠΉ,Β Π²ΠΈΡΡΡΒ ΡΠ½ΡΠ΅ΡΠ°Π»ΠΎΠΌΠΈΠΎΠΊΠ°ΡΠ΄ΠΈΡΠ°Β ΠΌΡΡΠ΅ΠΉ,Β Π²ΠΈΡΡΡ Π±ΡΡΡΠ΅ΠΉ Π΄ΠΈΠ°ΡΠ΅ΠΈ) Π½Π° Π±Π°Π·Π΅ Π€ΠΠΠ£ Β«ΠΠΠ¦ΠΠ ΠΈΠΌ. Π.Π€. ΠΠ°ΠΌΠ°Π»Π΅ΠΈΒ» ΠΠΈΠ½Π·Π΄ΡΠ°Π²Π° Π ΠΎΡΡΠΈΠΈ. ΠΠ½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ
ΠΏΠΎ Π²ΡΠ±ΠΎΡΠΊΠ΅ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΡΠ΅Π΄Π½Π΅Π³ΠΎ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΏΡΠΈ 95% Π΄ΠΎΠ²Π΅ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΌ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π»Π΅.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Π½Π°Π½ΠΎΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ Π΄Π»Ρ Π²ΡΠ΅Ρ
Π²ΡΠ±ΡΠ°Π½Π½ΡΡ
ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠΉ Β«ΠΏΡΠ΅Π΄ΡΠΈΠ»ΡΡΡ β Π½Π°Π½ΠΎΡΠΈΠ»ΡΡΡΒ» Π·Π°Π²ΠΈΡΠΈΡ ΠΎΡ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ IgG Π² ΠΈΡΠΏΡΡΡΠ΅ΠΌΠΎΠΌ ΡΠ°ΡΡΠ²ΠΎΡΠ΅. ΠΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½Π°Ρ ΠΏΡΠΎΠΏΡΡΠΊΠ½Π°Ρ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΠΈ Π²ΡΡ
ΠΎΠ΄ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ:Β ΠΏΡΠ΅Π΄ΡΠΈΠ»ΡΡΡ (ΡΠΈΠ»ΡΡΡ) ΠΠΠ₯-P Ρ Π½Π°Π½ΠΎΡΠΈΠ»ΡΡΡΠΎΠΌ Pegasus SV4 βΒ 6300Β Π³/ΠΌ2Β (Π²ΡΡ
ΠΎΠ΄Β IgGΒ Π±ΠΎΠ»Π΅Π΅Β 95%); EKX-P ΠΈΠ»ΠΈ Sartopore (ΠΏΠΎΠ»ΠΈΡΡΠΈΡΡΡΠ»ΡΡΠΎΠ½) Ρ Planova 20N β Π΄ΠΎ 2980 Π³/ΠΌ2 (Π²ΡΡ
ΠΎΠ΄ IgG β ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ 100% ΠΏΡΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡΒ ΠΏΡΠΎΡΠ΅ΡΡΠ°Β ΡΠΎΠ»ΡΠΊΠΎΒ ΠΏΡΠΈΒ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈΒ IgGΒ 10Β Π³/Π»).Β ΠΠ»Ρ ΡΠ°Π·Π½ΡΡ
ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠΉ ΡΠΈΠ»ΡΡΡΠΎΠ² ΡΡΠΎΠ²Π΅Π½Ρ ΡΠ΅Π΄ΡΠΊΡΠΈΠΈ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΎΠ²Π°Π» ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ ΠΏΡΠΈΠ΅ΠΌΠ»Π΅ΠΌΠΎΡΡΠΈ: ΠΠΠ§-1 βΒ ΠΎΡΒ 4,00Β±0,05Β Π΄ΠΎΒ 4,75Β±0,04Β log10;Β ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΒ ΡΠ²ΠΈΠ½Π΅ΠΉΒ βΒ ΠΎΡΒ 4,30Β±0,04 Π΄ΠΎ 4,55Β±0,06 log10; Π²ΠΈΡΡΡ ΡΠ½ΡΠ΅ΡΠ°Π»ΠΎΠΌΠΈΠΎΠΊΠ°ΡΠ΄ΠΈΡΠ° ΠΌΡΡΠ΅ΠΉ β ΠΎΡ 5,38Β±0,08 Π΄ΠΎ 5,57Β±0,04 log10; Π²ΠΈΡΡΡ Π±ΡΡΡΠ΅ΠΉ Π΄ΠΈΠ°ΡΠ΅ΠΈ β Π±ΠΎΠ»Π΅Π΅ 5,00 log10; ΠΏΠ°ΡΠ²ΠΎΠ²ΠΈΡΡΡ ΡΠ²ΠΈΠ½Π΅ΠΉ β ΠΎΡ 5,12Β±0,10 Π΄ΠΎ 5,25Β±0,08 log10. Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΡΡΠΎΠ²Π½Ρ ΡΠ΅Π΄ΡΠΊΡΠΈΠΈ ΠΎΡ ΠΌΠ°ΡΠΊΠΈ ΠΏΡΠ΅Π΄ΡΠΈΠ»ΡΡΡΠΎΠ² Π½Π΅ Π²ΡΡΠ²ΠΈΠ»ΠΈ.ΠΡΠ²ΠΎΠ΄Ρ. ΠΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ Π½Π°Π½ΠΎΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ Π΄Π»Ρ Π²ΠΈΡΡΡΠΎΠ²Β Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΡΠ°Π·ΠΌΠ΅ΡΠ°ΠΌΠΈ Π²ΠΈΡΠΈΠΎΠ½Π° ΠΈ ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ, Π²ΠΊΠ»ΡΡΠ°Ρ ΠΌΠ΅Π»ΠΊΠΈΠΉ ΠΏΠ°ΡΠ²ΠΎΠ²ΠΈΡΡΡ Π19: ΡΡΠΎΠ²Π΅Π½Ρ ΡΠ΅Π΄ΡΠΊΡΠΈΠΈ Π²ΠΈΡΡΡΠΎΠ² Π΄Π»Ρ Π²ΡΠ΅Ρ
ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠΉ ΡΠΎΡΡΠ°Π²ΠΈΠ» Π±ΠΎΠ»Π΅Π΅ 4 log10, ΡΡΠΎ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΠ΅Ρ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ ΠΏΡΠΈΠ΅ΠΌΠ»Π΅ΠΌΠΎΡΡΠΈ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΠ΅ Π² Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΠΈ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠ°Ρ ΠΈΠΌ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Π½Π°Π½ΠΎΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ Π²ΡΡ
ΠΎΠ΄ ΡΠ΅Π»Π΅Π²ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° Π΄Π»Ρ Π²ΡΠ΅Ρ
ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠΉ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
ΡΠΈΠ»ΡΡΡΠΎΠ² Π½Π΅ ΠΈΠ·ΠΌΠ΅Π½ΠΈΠ»ΠΈΡΡ ΠΏΡΠΈ ΠΌΠ°ΡΡΡΠ°Π±ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ. ΠΠ°Π½ΠΎΡΠΈΠ»ΡΡΡΠ°ΡΠΈΡ ΠΌΠΎΠΆΠ΅Ρ ΡΠ»ΡΠΆΠΈΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ ΠΈ Π²ΡΡΠΎΠΊΠΎΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΡΠΌ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠΌ ΡΠ΄Π°Π»Π΅Π½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΈΠΏΠΎΠ² Π²ΠΈΡΡΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠΉ Π½Π΅ Π²Π»ΠΈΡΠ΅Ρ Π½Π° ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° ΠΈ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΠΎΠ²ΡΡΠ°Π΅Ρ Π²ΠΈΡΡΡΠ½ΡΡ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ²
Clinical, hormonal and molecular-genetic characteristics of monogenic diabetes mellitus associated with the mutations in the <i>INS</i> gene
Background: Currently more than 50 mutations of the INS gene are known to affect the various stages of insulin biosynthesis in the beta cells of the pancreas. However only individual cases of diabetes mellitus (DM) associated with heterozygous mutations in the coding region of the INS gene were reported in Russian Federation. We report a group of patients with a clinical manifestation of DM caused by mutations in both coding and non-coding regions of the INS gene. The patients with a mutation in the intron of the INS gene are reported for the first time in Russian FederationMaterials and methods: 60 patients with an isolated course of neonatal DM (NDM), 52 patients with a manifestation of DM at the age of 7β12 months and the absence of the main autoimmune markers of type 1 DM, 650 patients with the MODY phenotype were included in the study. NGS technology was used for molecular genetic research. Authorβs panel of primers (Custom DNA Panel) was used for multiplex PCR and sequencing using Ion Ampliseqβ’ technology. The authorβs panel βΒDiabetes Mellitusβ included 28 genes (13 candidate genes of MODY and other genes associated with DM).Results: 13 heterozygous mutations were identified in 16 probands and 9 relatives. The majority of mutations were detected in patients with PNDM (18.75%) and in patients with an onset of DM at the age of 7β12 months (9.6%). Mutations in the INS gene were detected in 2 patients (0.3%) in the group with the MODY phenotype. Mutations in the INS gene were not detected in patients with transient NDM (TNDM). Analysis of clinical data in patients with PND and onset of diabetes at the age of 7β12 months did not show significant differences in the course of the disease. The clinical characteristics of the cases of MODY10 and diabetes caused by a mutation in the intron of the INS gene are reported in details.Conclusion: The role of INS gene mutations in NDM, MODY, and DM with an onset at the age of 7β12 months was analyzed in a large group of patients. The clinical characteristics of DM due to a mutation in the intron of the INS gene are reported for the first time in the Russian Federation
Spermatozoal sensitive biomarkers to defective protaminosis and fragmented DNA
Human sperm DNA damage may have adverse effects on reproductive outcome. Infertile men possess substantially more spermatozoa with damaged DNA compared to fertile donors. Although the extent of this abnormality is closely related to sperm function, the underlying etiology of ensuing male infertility is still largely controversial. Both intra-testicular and post-testicular events have been postulated and different mechanisms have been proposed to explain the presence of damaged DNA in human spermatozoa. Three among them, i.e. abnormal chromatin packaging, oxidative stress and apoptosis, are the most studied and discussed in the present review. Furthermore, results from numerous investigations are presented, including our own findings on these pathological conditions, as well as the techniques applied for their evaluation. The crucial points of each methodology on the successful detection of DNA damage and their validity on the appraisal of infertile patients are also discussed. Along with the conventional parameters examined in the standard semen analysis, evaluation of damaged sperm DNA seems to complement the investigation of factors affecting male fertility and may prove an efficient diagnostic tool in the prediction of pregnancy outcome
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