380 research outputs found
Methodological Approach to Measure the Quality of Life of the Regionβs Population
The article is devoted to the urgent problem of the regional development, i.e. to the development of methodological tools to evaluate the quality of life of the population in the region. The article considers the concept of βquality of lifeβ, and the terms related thereto; and substantiate the authorβs position with respect to the concept. The existing domestic and foreign approaches to evaluate the quality of life of the population were analyzed, and the application of the comprehensive approach was reasoned within this study. The criteria for evaluation of the quality of life of the population were distinguished. The authors proposed the methodological approach that considers not only objective indicators of the quality of life presented in the statistical reports of the Russian Federal State Statistics Service, but also employs subjective evaluations of the local population enabling more appropriate evaluation of the quality of life in the region. The methodological tools of the research include mathematical methods of statistical data processing and online survey of the population about the level of satisfaction with various aspects of their life. The methodological tools were tested using the example of the Sverdlovsk Region that is characterized both by the steady improvement of statistical indicators of the quality of life and by low satisfaction of population with certain aspects of the quality of life, which generally decreases the integrated indicator of the quality of life despite positive dynamics of social and economic development of the region and vigorous social policy of the regional authorities. The proposed methodology was used in the evaluation of the quality of life of the Sverdlovsk Region population as part of the development of the Concept of comprehensive regional program βNew quality of life of Ural residentsβ (Decree of the Governor of the Sverdlovsk Region No. 45-UG dated January 29, 2014 βOn the Concept of the life quality improvement for the Sverdlovsk Region population before 2030 year β βNew quality of life of Ural residentsβ).The article has been prepared with the support of the grant of the Russian Foundation for Basic Research (RFBR) No. 15-06-09169 βDevelopment of methodical measurement tools and evaluation of the impact of social, economic, medical and demographic factors on mortality rates of working-age populationβ
Gastroesophageal reflux disease associated with diseases of the respiratory tract
The European community of gastroenterologists in 1997 recognized GERB as "illness of the 21st century". Diseases of a respiratory tract take the leading place among all extra esophageal implications of a gastroesophageal reflux disease. Among them bronchial asthma and a chronic obstructive pulmonary disease are the most widespread. The study of the features of the current and modern methods of diagnosing bronchial asthma, obstructive sleep apnea syndrome and chronic obstructive pulmonary disease associated with gastroesophageal reflux disease is of great importance for identifying potential obstacles to effective treatment and preventing an increase in the risk of hospitalizations of patients with this co-morbid pathology. The morbidity of the pathology of the respiratory tract, combined with gastroesophageal reflux disease, is steadily growing. There is a large number of publications concerning the relationship between gastroesophageal reflux disease and diseases of the bronchopulmonary system, but the etiopathogenesis and the cause-and-effect relationship of these diseases remain in question. 1t is interesting to note that the syndrome of obstructive sleep apnea is not included in the list of extra-oesophageal manifestations, both probably and reliably associated with gastroesophageal reflux disease (according to the Montreal Consensus, 2006), but is of great interest to researchers in recent years
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Linear magnetoresistance due to multiple-electron scattering by low-mobility islands in an inhomogeneous conductor
Linear transverse magnetoresistance is commonly observed in many material systems including semimetals, narrow band-gap semiconductors, multi-layer graphene and topological insulators. It can originate in an inhomogeneous conductor from distortions in the current paths induced by macroscopic spatial fluctuations in the carrier mobility and it has been explained using a phenomenological semiclassical random resistor network model. However, the link between the linear magnetoresistance and the microscopic nature of the electron dynamics remains unknown. Here we demonstrate how the linear magnetoresistance arises from the stochastic behaviour of the electronic cycloidal trajectories around low-mobility islands in high-mobility inhomogeneous conductors and that this process is only weakly affected by the applied electric field strength. Also, we establish a quantitative link between the island morphology and the strength of linear magnetoresistance of relevance for future applications
Features of model coronaviruses distribution in feline organs and tissues in the context of COVID-19 pathogenesis study
To date, the reisreason to believe that, unlike classical a cuterespiratory virusinfections caused by adenoviruses, rhinoviruses, orthomyxoviruses, COVID-19 behaves completely differently. Firstly, the pathological process esare likely to be immune-mediated and the immun esystem quites lowly ensurest heelimination of the virus from the organism. Secondly, the dynamics of the diseases ymptom development and the duration of intestinal virusshedding after recovery give reason to believe that theSARS-CoV-2 infection is mainly localizedin the intestine. A possible reason isthat in the presence of proteolyticenzymes, viral particlesmature, hydrophilic aminoacids are removed from the surface of the virion, making it more hydrophobic and able to ad here to cells due to hydrophobic interactions. The presence of the ACE2 recept or mainly in the enterocytes of the ileumdoes not exclude the accumulation of coronavirusin lymphocytes, given that there are more lymphocytes in the gastrointestinal tract than anywhere else, this fact can beconsidered as another justification for the predominant accumulation of coronaviruses, including SARS-CoV-2 in the intestine. A distinctive feature of feline coronavirus infection and, in particular, infectious feline peritonitis, from human COVID-19 infection was considered to be the presence of effusion peritonitis as the main complication leading to death, while respiratory and card iovascular in sufficiency is more characteristic for humans. Never the less, cases of serous peritonitis in humans infected with COVID-19 have already been described. In the context of the analyzed model,Β theclinical case describedin the study allows principal possibility of exacerbation of chronic coronavirus infection in caseof re-infection (superinfection) and development of apredominantlylocal infection
ΠΠΠ ΠΠI ΠΠIΠΠΠIΠΠΠΠIΠ§ΠI Π ΠΠΠΠΠ ΠΠΠ― ΠIΠΠΠΠIΠ§ΠΠΠ ΠΠΠΠΠΠΠ Π£ΠΠ ΠΠΠΠ
The article adduces the issues of epidemiological risks to Ukraineβs biosecurity and other relevant military threats. The authors predicted directions of possible changes in the biological situation regarding infectious morbidity in Ukraine and bioterrorism, raised questions about the necessity of carrying out anti-epidemic and preventive measures.Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΡ ΠΏΠΈΡΠ°Π½Π½Ρ Π΅ΠΏΡΠ΄Π΅ΠΌΡΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΈΡ
ΡΠΈΠ·ΠΈΠΊΡΠ² Π΄Π»Ρ Π±ΡΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΡ Π±Π΅Π·ΠΏΠ΅ΠΊΠΈ Π£ΠΊΡΠ°ΡΠ½ΠΈ ΡΠ° ΡΠ½ΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½Ρ Π²ΠΎΡΠ½Π½Ρ Π·Π°Π³ΡΠΎΠ·ΠΈ. ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ ΡΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΎΠ²Π°Π½Ρ Π½Π°ΠΏΡΡΠΌΠΊΠΈ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΈΡ
Π·ΠΌΡΠ½ Π±ΡΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΡ ΡΠΈΡΡΠ°ΡΡΡ ΡΠΎΠ΄ΠΎ ΡΠ½ΡΠ΅ΠΊΡΡΠΉΠ½ΠΎΡ Π·Π°Ρ
Π²ΠΎΡΡΠ²Π°Π½ΠΎΡΡΡ Π² Π£ΠΊΡΠ°ΡΠ½Ρ ΡΠ° Π±ΡΠΎΡΠ΅ΡΠΎΡΠΈΠ·ΠΌΡ, ΠΏΠΎΡΡΡΠ΅Π½Ρ ΠΏΠΈΡΠ°Π½Π½Ρ Π½Π΅ΠΎΠ±Ρ
ΡΠ΄Π½ΠΎΡΡΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ ΠΏΡΠΎΡΠΈΠ΅ΠΏΡΠ΄Π΅ΠΌΡΡΠ½ΠΈΡ
Ρ ΠΏΡΠΎΡΡΠ»Π°ΠΊΡΠΈΡΠ½ΠΈΡ
Π·Π°Ρ
ΠΎΠ΄ΡΠ²
ΠΠ½Π²Π°Π·ΠΈΠ²Π½ΡΠΉ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ· Ρ Π΄Π΅ΡΠ΅ΠΉ
The prevalence of invasive candidiasis (IC) in pediatric hospitals is from 4,3 to 15,2 per 10,000 hospitalized, in ICU β from 3,5 to 7 cases per 1,000, with HSCT β 2,9%. The average length of stay of a patient in the hospital before the development of IC varies from 21 to 56 days, in the ICU β more than 15 days. Knowledge of risk factors (ICU stay for β₯15 days, use of antibacterial drugs and parenteral nutrition, active malignant neoplasm, etc.) makes it possible to identify patients with a high (10-46%) risk of developing IC. Candida albicans remains the leading causative agent of IC in children, but infections with non-albicans Candida spp. have increased and an increase in the resistance of IC pathogens to azole antimycotics was noted. The main clinical variant of IC in children is candidemia, other forms include the central nervous system, abdominal organs, eyes, heart, bones and joints, kidneys, skin and subcutaneous tissue involvement, as well as chronic disseminated (hepatolienal) candidiasis. Blood culture, the main method of laboratory diagnostics of IC, is characterized by low sensitivity and requires a long time. Methods of noncultural diagnostics of IC (1,3-Ξ²-D-glucan, mannan and antimannan antibodies, T2 Candida etc) in children have not been sufficiently studied. The main drugs for the treatment of IC in children are echinocandins (anidulafungin, etc.), and CVC removal/replacement is necessary. The overall mortality rate in pediatric patients within 30 days after the diagnosis of IC is 37% to 44%.Π Π°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΡ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π° Π² ΠΏΠ΅Π΄ΠΈΠ°ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ°Ρ
ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ ΠΎΡ 4,3 Π΄ΠΎ 15,2 Π½Π° 10 000 Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
, Π² ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΡΡ
ΡΠ΅Π°Π½ΠΈΠΌΠ°ΡΠΈΠΈ ΠΈ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ β ΠΎΡ 3,5 Π΄ΠΎ 7 ΡΠ»ΡΡΠ°Π΅Π² Π½Π° 1000, ΠΏΡΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΡΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠ°ΡΠΈΠΈ Π³Π΅ΠΌΠΎΠΏΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ²ΠΎΠ»ΠΎΠ²ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ β 2,9%. Π‘ΡΠ΅Π΄Π½ΠΈΠΉ ΡΡΠΎΠΊ ΠΏΡΠ΅Π±ΡΠ²Π°Π½ΠΈΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ΅ Π΄ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π° Π²Π°ΡΡΠΈΡΡΠ΅Ρ ΠΎΡ 21 Π΄ΠΎ 56 Π΄Π½Π΅ΠΉ, Π² ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΡΡ
ΡΠ΅Π°Π½ΠΈΠΌΠ°ΡΠΈΠΈ ΠΈ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΏΡΠ΅Π²ΡΡΠ°Π΅Ρ 15 ΡΡΡΠΎΠΊ. ΠΠ½Π°Π½ΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° (ΠΏΡΠ΅Π±ΡΠ²Π°Π½ΠΈΠ΅ Π² ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΡΡ
ΡΠ΅Π°Π½ΠΈΠΌΠ°ΡΠΈΠΈ ΠΈ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ β₯15 Π΄Π½Π΅ΠΉ, ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π°Π½ΡΠΈΠ±Π°ΠΊΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ² ΠΈ ΠΏΠ°ΡΠ΅Π½ΡΠ΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΈΡΠ°Π½ΠΈΡ, Π°ΠΊΡΠΈΠ²Π½ΠΎΠ΅ Π·Π»ΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ΅ Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΠΏΡ.) ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π²ΡΡΠ²ΠΈΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π²ΡΡΠΎΠΊΠΈΠΌ (10β 46%) ΡΠΈΡΠΊΠΎΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π°. Π‘andida albicans ΠΎΡΡΠ°Π΅ΡΡΡ Π²Π΅Π΄ΡΡΠΈΠΌ Π²ΠΎΠ·Π±ΡΠ΄ΠΈΡΠ΅Π»Π΅ΠΌ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π° Ρ Π΄Π΅ΡΠ΅ΠΉ, Π½ΠΎ ΡΠ²Π΅Π»ΠΈΡΠΈΠ»ΠΎΡΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ, Π²ΡΠ·Π²Π°Π½Π½ΡΡ
Π½Π΅-albicans Candida spp. ΠΈ ΠΎΡΠΌΠ΅ΡΠ΅Π½ ΡΠΎΡΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ Π²ΠΎΠ·Π±ΡΠ΄ΠΈΡΠ΅ΡΠ΅ΠΉ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π° ΠΊ Π°Π·ΠΎΠ»ΡΠ½ΡΠΌ Π°Π½ΡΠΈΠΌΠΈΠΊΠΎΡΠΈΠΊΠ°ΠΌ. ΠΡΠ½ΠΎΠ²Π½ΠΎΠΉ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π²Π°ΡΠΈΠ°Π½Ρ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π° Ρ Π΄Π΅ΡΠ΅ΠΉ β ΠΊΠ°Π½Π΄ΠΈΠ΄Π΅ΠΌΠΈΡ, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π½Π΅ΡΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΎΡΠ³Π°Π½ΠΎΠ² Π±ΡΡΡΠ½ΠΎΠΉ ΠΏΠΎΠ»ΠΎΡΡΠΈ, ΠΎΡΠ³Π°Π½ΠΎΠ² Π·ΡΠ΅Π½ΠΈΡ, ΡΠ΅ΡΠ΄ΡΠ°, ΠΊΠΎΡΡΠ΅ΠΉ ΠΈ ΡΡΡΡΠ°Π²ΠΎΠ², ΠΏΠΎΡΠ΅ΠΊ, ΠΊΠΎΠΆΠΈ ΠΈ ΠΏΠΎΠ΄ΠΊΠΎΠΆΠ½ΠΎΠΉ ΠΊΠ»Π΅ΡΡΠ°ΡΠΊΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π΄ΠΈΡΡΠ΅ΠΌΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ (Π³Π΅ΠΏΠ°ΡΠΎΠ»ΠΈΠ΅Π½Π°Π»ΡΠ½ΡΠΉ) ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·. ΠΠΎΡΠ΅Π² ΠΊΡΠΎΠ²ΠΈ (ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π°) ΠΎΡΠ»ΠΈΡΠ°Π΅ΡΡΡ Π½ΠΈΠ·ΠΊΠΎΠΉ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡΡ ΠΈ ΡΡΠ΅Π±ΡΠ΅Ρ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ. ΠΠ΅ΡΠΎΠ΄Ρ Π½Π΅ΠΊΡΠ»ΡΡΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΠ (ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ 1,3-Ξ²-d-Π³Π»ΡΠΊΠ°Π½Π°, ΠΌΠ°Π½Π½Π°Π½Π° ΠΈ Π°Π½ΡΠΈΠΌΠ°Π½Π½Π°Π½ΠΎΠ²ΡΡ
Π°Π½ΡΠΈΡΠ΅Π», Π’2 Candida) Ρ Π΄Π΅ΡΠ΅ΠΉ ΠΈΠ·ΡΡΠ΅Π½Ρ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ. ΠΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΡ Π΄Π»Ρ Π»Π΅ΡΠ΅Π½ΠΈΡ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π° Ρ Π΄Π΅ΡΠ΅ΠΉ β ΡΡ
ΠΈΠ½ΠΎΠΊΠ°Π½Π΄ΠΈΠ½Ρ (Π°Π½ΠΈΠ΄ΡΠ»Π°ΡΡΠ½Π³ΠΈΠ½ ΠΈ ΠΏΡ.), ΠΊΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠ° Π·Π°ΠΌΠ΅Π½Π° ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠ³ΠΎ ΠΊΠ°ΡΠ΅ΡΠ΅ΡΠ°. ΠΠ±ΡΠ°Ρ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΏΠ΅Π΄ΠΈΠ°ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 30 Π΄Π½Π΅ΠΉ ΠΏΠΎΡΠ»Π΅ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄ΠΎΠ·Π° ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ ΠΎΡ 37% Π΄ΠΎ 44%.
Methodological Approach to Assessing the Working Life Expectancy of the Population in a Region
The article presents the authorβs methodological approach to assessing the working life expectancy of the population in a region and its components characterising regional labour potential, as well as to estimating labour losses in the form of non-working years. The methodology was tested in Sverdlovsk oblast. The obtained estimates showed positive dynamics of the labour potential in the re-gion during the period of stable socio-economic develop-ment (until 2019), and reflected the negative impact of the COVID-19 pandemic (2020-2021) in this area. The findings can be used for developing the socio-economic policy tools in the region for the medium- and long-term perspective.Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ Π°Π²ΡΠΎΡΡΠΊΠΈΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΏΡΠ΅Π΄ΡΡΠΎΡΡΠ΅ΠΉ ΡΡΡΠ΄ΠΎΠ²ΠΎΠΉ ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΈ Π΅Π΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² ΠΊΠ°ΠΊ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΡΡΡΠ΄ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠ΅Π³ΠΈΠΎΠ½Π°, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΊ ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΏΠΎΡΠ΅ΡΡ ΡΡΡΠ΄ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° Π² Π²ΠΈΠ΄Π΅ Π½Π΅Π΄ΠΎΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ
Π»Π΅Ρ. ΠΠΏΡΠΎΠ±Π°ΡΠΈΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π‘Π²Π΅ΡΠ΄Π»ΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΡ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡ ΡΡΡΠ΄ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠ΅Π³ΠΈΠΎΠ½Π° Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ (Π΄ΠΎ 2019 Π³.), Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΡΡΠ°Π·ΠΈΠ»ΠΈ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ COVID-19 (2020β2021 Π³Π³.) Π² Π΄Π°Π½Π½ΠΎΠΉ ΡΡΠ΅ΡΠ΅. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΏΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π΅ Π½Π° ΡΡΠ΅Π΄Π½Π΅ΡΡΠΎΡΠ½ΡΡ ΠΈ Π΄ΠΎΠ»Π³ΠΎΡΡΠΎΡΠ½ΡΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ.ΠΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²Π»Π΅Π½Π° Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΠΠΠ ΠΏΠΎ Π³ΠΎΡΠ·Π°Π΄Π°Π½ΠΈΡ ΠΠ½ΡΡΠΈΡΡΡΠ° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π£ΡΠ Π ΠΠ Π½Π° 2021β2023 Π³Π³. β 0327-2021-0011 Β«ΠΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈ ΡΠ°ΠΊΡΠΎΡΡ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π° Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄Π° ΠΊ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎΠΌΡ ΡΠ°Π·Π²ΠΈΡΠΈΡΒ»
Analysis of the Ca2+ response of mycelial fungi to external effects by the recombinant aequorin method
Using the mutant strain Aspergillus awamori 66A producing a recombinant Ca2+-dependent photosensitive protein aequorin, the dynamics of Ca2+ was studied for the first time in the cytosol of the micromycetes exposed to stressful factors, such as an increase in extracellular Ca2+ to 50 mM, hypoosmotic shock, and mechanical shock. Cell response to stress proved to involve an increase in the Ca2+ concentration in the cytosol, which was determined from the amplitude of aequorin luminescence and the time of the amplitude enhancement and relaxation. The level of Ca 2+ response depended on the physiological stimulus. Inhibitory analysis with various agents that block Ca2+ channels and with agonists that specifically enhance the activity of the channels suggested that (1) the level of Ca2+ in the cytosol of micromycetes increases in response to stress because of the ion influx from both the growth medium and intracellular reservoirs and (2) the potential-dependent transport systems play the major role in the Ca2+ influx into the cytosol of the micromycete cells
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