37 research outputs found

    Роль ΠΈ влияниС туриндустрии крымского Ρ€Π΅Π³ΠΈΠΎΠ½Π° Π½Π° Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ экономики

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    Purpose: the aim of the article is the role and influence of tourism on the development of the economy at all levels of the economic system (example: Republic of Crimea). The article considers the methodology for analyzing the indices of social and economic growth in the branch of the Republic of Crimea. The role and influence of tourism on the economy is considered. Tasks of the article: analysis of the works of foreign and domestic scientists on the role and influence of tourism on the development of the economy; to conduct an analysis of the sectoral structure of the gross value added of the Russian Federation; describe the growth of socio-economic indicators; identify the stages of the methodology for analyzing the indicators of the social and economic growth of the tourist industry; to give an analysis of indicators characterizing the socioeconomic growth of the tourist industry of the Republic of Crimea; construct the dependence of the amount of declared amounts of investment projects on the number of tourists who visited the Republic of Crimea. Methods: the dialectical method of scientific cognition was applied in studying the role and influence of tourism on the development of the economy, calculation and analytical methods for monitoring, measuring, analyzing and comparing indicators that characterize the social and economic growth of the tourist industry of the Republic of Crimea. Results: in modern conditions, the development of the tourism sector, as a source of sustainable development of the state economy, acquires priority development. The tourism industry has a huge impact on the economy of the region, being the locomotive of the development of many other branches of management and providing non-raw budget receipts. The analysis of the works of foreign and domestic scientists makes it possible to talk about the integrated mechanism of the role and influence of tourism on the development of the economy at all levels of the economic system and, in general, the national economy of the country. Its essence is as follows: the gradual increase in the socio-economic standard of living of the country's population increases its needs for rest and leisure, which increases domestic and outbound tourist flows. The coefficient of determination RΒ² = 0.0191 showed that 1.91% of the variation of the "declared amount of investment projects, applications" is due to the variation in the sign "the number of tourists who visited the Republic of Crimea", and 98.09% of the variation is already associated with the impact of other factors not taken into account. Conclusions and Relevance: the spread of tourism is becoming a stimulating factor for the development of the tourism services sector: the tourism industry is growing in the budget, the number of employees in the tourism sector is growing. Increased investment in the tourism sector leads to the creation of tourist facilities and the development of tourism infrastructure, increases the attractiveness of the national sector of tourism services. This stimulates the growth of domestic and incoming tourist flows and ensures an increase in the country's socio-economic development. The social and economic growth of the sector as a whole is promoted by institutional support, developed state regulatory and legal regulation in the sphere of tourism, interaction of public-private partnerships, staffing, diversification of tourism products through the development of various types of tourism, thereby eliminating the reason for the seasonality of tourism enterprises and increasing income. ЦСль: ЦСлью ΡΡ‚Π°Ρ‚ΡŒΠΈ являСтся Ρ€ΠΎΠ»ΡŒ ΠΈ влияниС Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ° Π½Π° развития экономики Π½Π° всСх уровнях Ρ…ΠΎΠ·ΡΠΉΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΉ систСмы (ΠΏΡ€ΠΈΠΌΠ΅Ρ€ РСспублика ΠšΡ€Ρ‹ΠΌ). Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассмотрСна ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского роста отрасли РСспублики ΠšΡ€Ρ‹ΠΌ. РассмотрСны Ρ€ΠΎΠ»ΡŒ ΠΈ влияниС Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ° Π½Π° экономику, поставлСны Π·Π°Π΄Π°Ρ‡ΠΈ: Π°Π½Π°Π»ΠΈΠ· Ρ€Π°Π±ΠΎΡ‚ Π·Π°Ρ€ΡƒΠ±Π΅ΠΆΠ½Ρ‹Ρ… ΠΈ отСчСствСнных ΡƒΡ‡Π΅Π½Ρ‹Ρ… ΠΎ Ρ€ΠΎΠ»ΠΈ ΠΈ влиянии Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ° Π½Π° Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ экономики; Π°Π½Π°Π»ΠΈΠ· отраслСвой структуры Π²Π°Π»ΠΎΠ²ΠΎΠΉ Π΄ΠΎΠ±Π°Π²Π»Π΅Π½Π½ΠΎΠΉ стоимости Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ; характСристика роста ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ; этапы ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского роста туристской отрасли; Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΡ… ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСский рост туристской отрасли РСспублики ΠšΡ€Ρ‹ΠΌ; ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ‚ΡŒ объСма заявлСнных сумм инвСстиционных ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ΠΎΠ² ΠΎΡ‚ количСства туристов, ΠΏΠΎΡΠ΅Ρ‚ΠΈΠ²ΡˆΠΈΡ… РСспублику ΠšΡ€Ρ‹ΠΌ. ΠœΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ провСдСния Ρ€Π°Π±ΠΎΡ‚Ρ‹: ДиалСктичСский ΠΌΠ΅Ρ‚ΠΎΠ΄ Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ познания Π±Ρ‹Π» ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ ΠΏΡ€ΠΈ ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠΈ Ρ€ΠΎΠ»ΠΈ ΠΈ влияния Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ° Π½Π° Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ экономики, расчСтно-аналитичСскиС ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ наблюдСния, измСрСния, Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ сравнСния ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΡ… ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСский рост туристской отрасли РСспублики ΠšΡ€Ρ‹ΠΌ. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Ρ€Π°Π±ΠΎΡ‚Ρ‹: Π’ соврСмСнных условиях Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ туристичСской сфСры, ΠΊΠ°ΠΊ источника устойчивого развития экономики государства, ΠΏΡ€ΠΈΠΎΠ±Ρ€Π΅Ρ‚Π°Π΅Ρ‚ ΠΏΡ€ΠΈΠΎΡ€ΠΈΡ‚Π΅Ρ‚Π½ΠΎΠ΅ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅. Π˜Π½Π΄ΡƒΡΡ‚Ρ€ΠΈΡ Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ° ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ ΠΎΠ³Ρ€ΠΎΠΌΠ½ΠΎΠ΅ воздСйствиС Π½Π° экономику Ρ€Π΅Π³ΠΈΠΎΠ½Π°, являясь Π»ΠΎΠΊΠΎΠΌΠΎΡ‚ΠΈΠ²ΠΎΠΌ развития мноТСства Π΄Ρ€ΡƒΠ³ΠΈΡ… отраслСй хозяйствования ΠΈ ΠΎΠ±Π΅ΡΠΏΠ΅Ρ‡ΠΈΠ²Π°ΡŽΡ‰Π°Ρ Π½Π΅ΡΡ‹Ρ€ΡŒΠ΅Π²Ρ‹Π΅ поступлСния Π±ΡŽΠ΄ΠΆΠ΅Ρ‚Π°. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· Ρ€Π°Π±ΠΎΡ‚ Π·Π°Ρ€ΡƒΠ±Π΅ΠΆΠ½Ρ‹Ρ… ΠΈ отСчСствСнных ΡƒΡ‡Π΅Π½Ρ‹Ρ… позволяСт Π³ΠΎΠ²ΠΎΡ€ΠΈΡ‚ΡŒ ΠΎ комплСксном ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠ΅ Ρ€ΠΎΠ»ΠΈ ΠΈ влияния Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ° Π½Π° развития экономики Π½Π° всСх уровнях Ρ…ΠΎΠ·ΡΠΉΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΉ систСмы ΠΈ Π² Ρ†Π΅Π»ΠΎΠΌ Π½Π°Ρ€ΠΎΠ΄Π½ΠΎΠ³ΠΎ хозяйства страны. Π•Π³ΠΎ ΡΡƒΡ‰Π½ΠΎΡΡ‚ΡŒ Π·Π°ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ΡΡ Π² ΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅ΠΌ: постСпСнноС ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского уровня ΠΆΠΈΠ·Π½ΠΈ насСлСния страны ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ²Π°Π΅Ρ‚ Π΅Π³ΠΎ потрСбности Π² ΠΎΡ‚Π΄Ρ‹Ρ…Π΅ ΠΈ досугС, Ρ‡Ρ‚ΠΎ ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ²Π°Π΅Ρ‚ Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½ΠΈΠ΅ ΠΈ Π²Ρ‹Π΅Π·Π΄Π½Ρ‹Π΅ туристичСскиС ΠΏΠΎΡ‚ΠΎΠΊΠΈ. ΠšΠΎΡΡ„Ρ„ΠΈΡ†ΠΈΠ΅Π½Ρ‚ Π΄Π΅Ρ‚Π΅Ρ€ΠΌΠΈΠ½Π°Ρ†ΠΈΠΈ RΒ² = 0,0191 ΠΏΠΎΠΊΠ°Π·Π°Π», Ρ‡Ρ‚ΠΎ 1,91% Π²Π°Ρ€ΠΈΠ°Ρ†ΠΈΠΈ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ° «заявлСнная сумма инвСстиционных ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ΠΎΠ², заявок» обусловлСно Π²Π°Ρ€ΠΈΠ°Ρ†ΠΈΠ΅ΠΉ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ° «количСство туристов, ΠΏΠΎΡΠ΅Ρ‚ΠΈΠ²ΡˆΠΈΡ… РСспублику ΠšΡ€Ρ‹ΠΌΒ», Π° 98,09% Π²Π°Ρ€ΠΈΠ°Ρ†ΠΈΠΈ ΡƒΠΆΠ΅ связаны с воздСйствиСм Π΄Ρ€ΡƒΠ³ΠΈΡ… Π½Π΅ΡƒΡ‡Ρ‚Π΅Π½Π½Ρ‹Ρ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ². Π’Ρ‹Π²ΠΎΠ΄Ρ‹: РаспространСниС Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ° становится ΡΡ‚ΠΈΠΌΡƒΠ»ΠΈΡ€ΡƒΡŽΡ‰ΠΈΠΌ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠΌ для развития сСктора туристичСских услуг: происходит рост Π²ΠΊΠ»Π°Π΄Π° туристичСской отрасли Π² Π±ΡŽΠ΄ΠΆΠ΅Ρ‚, растСт количСство занятых Π² туристичСском сСкторС. Рост инвСстиций Π² туристичСский сСктор Π²Π΅Π΄Π΅Ρ‚ ΠΊ созданию туристичСских ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΈ развития туристичСской инфраструктуры, ΠΏΠΎΠ²Ρ‹ΡˆΠ°Π΅Ρ‚ ΠΏΡ€ΠΈΠ²Π»Π΅ΠΊΠ°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ сСктора туристичСских услуг. Π­Ρ‚ΠΎ стимулируСт рост Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½ΠΈΡ… ΠΈ Π²ΡŠΠ΅Π·Π΄Π½Ρ‹Ρ… туристичСских ΠΏΠΎΡ‚ΠΎΠΊΠΎΠ² ΠΈ обСспСчиваСт ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского развития страны. Π‘ΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСскому росту исслСдуСмой отрасли Π² Ρ†Π΅Π»ΠΎΠΌ способствуСт ΠΈΠ½ΡΡ‚ΠΈΡ‚ΡƒΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ΅ обСспСчСниС, Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠ΅ государствСнноС Π½ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΎ-ΠΏΡ€Π°Π²ΠΎΠ²ΠΎΠ΅ Ρ€Π΅Π³ΡƒΠ»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π² сфСрС Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ°, взаимодСйствиС государствСнно-частного партнСрства, ΠΊΠ°Π΄Ρ€ΠΎΠ²ΠΎΠ΅ обСспСчСниС, дивСрсификация туристских ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² посрСдством развития Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π²ΠΈΠ΄ΠΎΠ² Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ°, Ρ‚Π΅ΠΌ самым устраняя ΠΏΡ€ΠΈΡ‡ΠΈΠ½Ρƒ сСзонности функционирования прСдприятий Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ° ΠΈ увСличивая Π΄ΠΎΡ…ΠΎΠ΄.

    Clinical and epidemiological features of acute intestinal infections in children in Arkhangelsk for 2015-2018

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    In recent years, there is increasing evidence of the significant role of the intestinal microbiome in the normal functioning of the whole body. The composition of the intestinal microflora affects the human immune system, and its metabolic processes, and even behavior. Therefore, maintaining an optimal balance in the structure of a normal gut microbiome is very important for human health. But the high prevalence of acute intestinal infections(AII) suggests that this balance is very fragile. The diversity of the causes of the All and the greater their specific gravity to determine the practical value of the clinical-epidemiological diagnosis, and was the basis for conducting our study. The aim of our work was to identify clinical and epidemiological features of acute intestinal infections in children of the Arkhangelsk region. We have evaluated the indicators of children's morbidity of acute intestinal infections in the Arkhangelsk region, as well as a retrospective clinical and epidemiological analysis in 143 children who underwent acute intestinal infections in 2015-2018 and hospitalized in the Center for infectious diseases of the Arkhangelsk regional clinical hospital. There is a high proportion of intestinal infections of unknown etiology (55.9%). Viral infections (mainly due to rotavirus gastroenteritis) prevail in the structure of All with established etiology. Among bacterial All met salmonellosis, shigellosis and campylobacteriosis.Π’ послСдниС Π³ΠΎΠ΄Ρ‹ появляСтся всё большС Π΄Π°Π½Π½Ρ‹Ρ… ΠΎ сущСствСнной Ρ€ΠΎΠ»ΠΈ ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ ΠΌΠΈΠΊΡ€ΠΎΠ±ΠΈΠΎΠΌΠ° Π² Π½ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΌ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ всСго ΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠ°. Бостав ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠΉ ΠΌΠΈΠΊΡ€ΠΎΡ„Π»ΠΎΡ€Ρ‹ влияСт ΠΈ Π½Π° ΠΈΠΌΠΌΡƒΠ½Π½ΡƒΡŽ систСму Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ°, ΠΈ Π½Π° Π΅Π³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π½Ρ‹Π΅ процСссы, ΠΈ Π΄Π°ΠΆΠ΅ Π½Π° ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠ°Π½ΠΈΠ΅ ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ баланса Π² структурС Π½ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΌΠΈΠΊΡ€ΠΎΠ±ΠΈΠΎΠΌΠ° ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΈΠΊΠ° ΠΎΡ‡Π΅Π½ΡŒ Π²Π°ΠΆΠ½ΠΎ для Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ°. Но высокая Ρ€Π°ΡΠΏΡ€ΠΎΡΡ‚Ρ€Π°Π½Ρ‘Π½Π½ΠΎΡΡ‚ΡŒ острых ΠΊΠΈΡˆΠ΅Ρ‡Π½Ρ‹Ρ… ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ (ОКИ) Π³ΠΎΠ²ΠΎΡ€ΠΈΡ‚ ΠΎ Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ баланс этот ΠΎΡ‡Π΅Π½ΡŒ Ρ…Ρ€ΡƒΠΏΠΎΠΊ. ΠœΠ½ΠΎΠ³ΠΎΠΎΠ±Ρ€Π°Π·ΠΈΠ΅ ΠΏΡ€ΠΈΡ‡ΠΈΠ½ ОКИ ΠΈ большой ΠΈΡ… ΡƒΠ΄Π΅Π»ΡŒΠ½Ρ‹ΠΉ вСс ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΡŽΡ‚ практичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-эпидСмиологичСской диагностики, всС это ΠΈ явилось основаниСм для провСдСния нашСго исслСдования. ЦСлью нашСй Ρ€Π°Π±ΠΎΡ‚Ρ‹ стало выявлСниС ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-эпидСмиологичСских особСнностСй острых ΠΊΠΈΡˆΠ΅Ρ‡Π½Ρ‹Ρ… ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ ΠΡ€Ρ…Π°Π½Π³Π΅Π»ΡŒΡΠΊΠΎΠΉ области. Нами Π±Ρ‹Π»Π° ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ дСтской заболСваСмости острыми ΠΊΠΈΡˆΠ΅Ρ‡Π½Ρ‹ΠΌΠΈ инфСкциями Π² ΠΡ€Ρ…Π°Π½Π³Π΅Π»ΡŒΡΠΊΠΎΠΉ области, Π° Ρ‚Π°ΠΊΠΆΠ΅ рСтроспСктивный ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-эпидСмиологичСский Π°Π½Π°Π»ΠΈΠ· Ρƒ 143 Π΄Π΅Ρ‚Π΅ΠΉ, ΠΏΠ΅Ρ€Π΅Π½Π΅ΡΡˆΠΈΡ… острыС ΠΊΠΈΡˆΠ΅Ρ‡Π½Ρ‹Π΅ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Π² 2015-2018 Π³Π³. ΠΈ госпитализированных Π² Π¦Π΅Π½Ρ‚Ρ€ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Π±ΠΎΠ»Π΅Π·Π½Π΅ΠΉ ΠΡ€Ρ…Π°Π½Π³Π΅Π»ΡŒΡΠΊΠΎΠΉ областной клиничСской Π±ΠΎΠ»ΡŒΠ½ΠΈΡ†Ρ‹. ΠžΡ‚ΠΌΠ΅Ρ‡Π°Π΅Ρ‚ΡΡ высокий ΡƒΠ΄Π΅Π»ΡŒΠ½Ρ‹ΠΉ вСс ΠΊΠΈΡˆΠ΅Ρ‡Π½Ρ‹Ρ… ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ нСустановлСнной этиологии (55,9%). Π’ структурС ОКИ с установлСнной этиологиСй ΠΏΡ€Π΅Π²Π°Π»ΠΈΡ€ΡƒΡŽΡ‚ вирусныС ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ (Π² основном, Π·Π° счёт ротавирусного гастроэнтСрита). Π‘Ρ€Π΅Π΄ΠΈ Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ОКИ Π²ΡΡ‚Ρ€Π΅Ρ‡Π°Π»ΠΈΡΡŒ ΡΠ°Π»ΡŒΠΌΠΎΠ½Π΅Π»Π»Ρ‘Π·, дизСнтСрия ΠΈ ΠΊΠ°ΠΌΠΏΠΈΠ»ΠΎΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΎΠ·

    Association of COMT gene polymorphisms with Parkinson's disease

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    Parkinson’s disease (PD) is one of the most serious and widespread neurodegenerative disorders. Genetic susceptibility plays a significant role in the development of PD.The aim of our study was to investigate associations between single nucleotide polymorphisms (SNPs) of the COMT gene coding dopamine catabolism enzyme and Parkinson’s disease.Materials and methods. In this study seven SNPs (rs4680, rs6269, rs4633, rs4818, rs769224, rs165774, rs174696) of COMT were genotyped. 232 patients with PD and 127 healthy individuals in the Siberian region of Russia were examined. Venous blood samples were drawn as a marker of PD. Statistical differences in the prevalence of alleles and genotypes between groups of patients were assessed using IBM SPSS Statistics 23.1 software.Results. A significant association between the rs165774 polymorphism and PD was observed. Our study demonstrates that polymorphisms in the COMT gene may play an important role in the pathophysiology of Parkinson’s disease

    Association of polymorphism in the dopamine receptors and transporter genes with hyperprolactinemia in patients with schizophrenia

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    Background: Long-term antipsychotic drug use remains the mainstay of treatment for patients with schizophrenia. However, pharmacotherapy with these drugs is complicated by several troublesome side effects, including hyperprolactinemia (HP). Prolactin secretion is persistently inhibited by dopamine, and antipsychotic drugs are believed to increase prolactin release by blocking dopamine receptors in the pituitary gland. Genetic factors play an important role in the development of antipsychotic induced HP [1, 2]. Genes coding for dopamine receptors and transporters are considered to be responsible for HP in schizophrenia [3]. The present study aimed to investigate the role of polymorph-isms of the dopamine receptors and transporters genes (DRD1, DRD2, SLC6A3) in the pathogenesis of antipsychotic-related HP in patients with schizophrenia. Methods: 431 Russian patients with schizophrenia were examined. The average age of patients was 42.1 Β± 1.4 years. Evaluation of serum prolactin level was performed by ELISA using reagents set PRL Test System (USA). Genotyping was carried out on 17 polymorphic variants of the dopamine receptors and transporters genes DRD1 (rs4532, rs936461), DRD2 (rs4245147, rs6279, rs2734842) and SLC6A3 (rs3756450, rs2550956, rs6347, rs2617605, rs3863145, rs250686, rs464049, rs4975646, rs1048953, rs11133767, rs27048, rs40184). The SPSS sof tware was used for statistical analysis. The Hardy-Weinberg equilibrium (HWE) of genotypic frequencies was tested by the chi-square test. Results: We studied the association between HP and a set of SNPs from DRD1, DRD2 receptor genes and neurotransmitter transporter SLC6A3 in patients from Siberia with a clinical diagnosis of schizophrenia who were treated with classical and/or atypical antipsychotic drugs. All patients with schizophrenia were divided into two groups: those with and without HP. Physiological normal results for the serum prolactin levels are less than 20 ng/ml in men, and less than 25 ng/ml in women. Statistically significant result was obtained for polymorphic variant rs2550956 of the gene SLC6A3 (Ο‡2 = 9.992; p = 0.007), which suggests its involvement in the development of HP. The heterozygous genotype TC of rs2550956 was significantly less common in patients with elevated levels of prolactin and it presumably has protective properties (OR 0.54; 95% CI: 0.36-0.81). We did not find any statistically significant associations for other polymorphisms DRD1 (rs4532, rs936461), DRD2 (rs4245147, rs6279, rs2734842) and SLC6A3 (rs3756450, rs6347, rs2617605, rs3863145, rs250686, rs464049, rs4975646, rs1048953, rs11133767, rs27048, rs40184). The group of dopamine receptors is heterogeneous and only some of them participate in the formation of psychotic symptoms and, accord ingly, in the antipsychotic action of neuroleptics. The effect of neuroleptics on other groups of dopamine receptors leads to the development of different side effects including extrapyramidal disorders [4], and their role is extremely low in the formation of the actual therapeutic response. Conclusion: Our results indicate that genetic variants of SLC6A3 may have functional consequences on the modulation of prolactin secretion. Neurotransmitter systems are involved in the mechanisms of action of antipsychotic drugs; therefore, a further search for genetic markers associated with the development of antipsychotic-related hyperprolactinemia in schizophrenic patients is needed

    The risk prediction of development of neuroleptic hyperprolactinemia based on genetic markers

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    Background: The main method to treatment of schizophrenia is long-term antipsychotic therapy, which not only improves the long-term prognosis of the disease and facilitates its transition to remission, but unfortunately also has a wide range of side effects such as hyperprolactinemia (HP) [1,2]. The main goal of pharmacogenetics is the search for predictors of response to therapy, as well as determining the probability of developing side effects [3]. The target genes of the clinical effects of antipsychotic drugs are genes determining activity of neurotransmitter systems and genes of biotransformation of xenobiotics. The present study aimed to investigate the most significant socio-demographic, clinical and genetic indicators that significantly contribute to the development of HP. Methods: Four hundred and forty-six Russian patients with schizophrenia were examined. The average age of patients was 41.5 Β± 13.4 years. Clinical symptomatology was assessed with Positive and Negative Syndrome Scale (PANSS), the Clinical Global Impression (CGI) scale, the scale of side effect assessment (UKU). Evaluation of serum prolactin level was performed by ELISA using reagents set PRL of Test System (USA). Regression analysis was performed with HP as a dependent dichotomous variable and polymorphisms as factors. After calculation of the regression model was performed mixed discriminant analysis followed by cross-valuation for the selected predictors. For the final model sensitivity, specificity, AUC (Area Under Curve), positive and negative predictive values were calculated. Results: We studied 88 neurotransmitter polymorphic genes variants including HTR2C, HTR3A, HTR3B, HTR6, HTR2A, HTR1A, HTR1B, DRD1, DRD2, DRD2/ANKK1, DRD3, DRD4, SLC6A3, SLC6A2, COMT and genes of biotransformation of xenobiotics CYP1A2*1F, CYP2D6*3, CYP2D6*4, CYP2C19*3, CYP2C19*17, CYP2C19*2, GSTP1. In patients without HP, the average level of the hormone was 12.9 [8.12; 16.85] ng/ml, and in patients with HP: 49.66 [32.47; 76.39] ng/ml. In the analysis of the distribution of patients by sex, the prevalence of patients of female gender was revealed in the group with HP (63.8%), and in the group without HP male sex was most prevalent (70.0%). This indicates that the female gender is a factor determining vulnerability regarding the development of this side effect on the background of antipsychotic therapy (p = 0.006). Based on the results of a pharmacogenetic research a molecular-genetic panel for the development of neuroendocrine side effects of antipsychotic therapy in patients with schizophrenia was developed, which includes both genetic variants and as other signs: age, sex, daily average antipsychotics doses (expressed in chlorpromazine equivalents), ``rs1176744” (HTR3B), ``rs10042486” (HTR1A), ``rs936461” (DRD4), ``rs134655" (DRD2), ``rs179997” (ATXN1), ``rs1076562” (DRD2), ``rs3773678” (DRD3), ``rs167771” (DRD3), ``rs1587756” (DRD3), ``rs3892097” (CYP2D6*4), ``rs1341239” (PRL), ``rs4975646” (SLC6A3), ``rs13333066” (SLC6A2). Conclusion: This molecular-genetic panel can be used to predict the risk of developing HP even before the start of treatment of patients with schizophrenia for purposeful individual therapeutic treatment in this category of patients. Work has been done with support of the Russian Science Foundation (project no. 14-35-00023) Acknowledgement: Work has been done with support of the Russian Science Foundation (project no. 14-35-00023
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