18 research outputs found

    Strategic analysis of sustainable socioeconomic situation of rural areas in the Samara Region of the Russian Federation

    Full text link
    On the one hand, the relevance of this problem is primarily determined by growing gap of rural territorial entities in socioeconomic development, and on the other hand, due to their significance in such prominent aspects for the country as food security, maintaining the existing land, industrial, ecological, demographic and human potential. The purpose of the article is comprehensive assessment of socioeconomic, institutional and ecological situation of rural areas in order to justify managerial decisions and effective policy making at the regional and local levels. The leading method for studying this problem is stratigic analysis of processes of developing rural areas, as well as factors, affecting development. The results of the study: In this article the authors assessed the situation in socioeconomic sphere of munitipalities in the Samara Region of the Russian Federation, accordingly, based on this, the authors concluded about a predominance of degradation processes, which form instability in the development of rural areas. The results of this study can be used by the regional authorities in their practice for making and implementation both regional policy, as well as strategy of socioeconomic development of rural area. Β© 2016 Belyaeva et al

    Environmental risk to health of the population

    Full text link
    Researches of the last years in the field of ecological epidemiology and the analysis of risk for health allow to claim with confidence that the polluted environment is one of the important factors defining changes of a state of health of the population. Expert opinions on the scale of this influence differ considerably now. These estimations vary from small shares of percent to several percent, reaching in some cases 30-50%. An attempt to elaborate economic approaches to a risk assessment to health of the population has been made in this work. The main reason which demands development of special approaches for an assessment of an environmental risk is that quantitative estimation of risk for health from environmental pollution is difficult to be realized. As a rule, population is affected by the whole set of the polluting substances from the atmosphere, drinking water, food, etc. For effective risk management it is necessary to assess and compare diverse risks caused by action of various pollutants coming to an organism in different ways. The stated methodical materials give an idea of possibility of the stage-by-stage multilevel risk analysis at the solution of environmental problems. Further comparative analysis connected with definition and comparison of various dangers can be done by means of the results received at a risk evaluation stage. Β© 2016 Anopchenko et al

    INFORMATIVNOST' OTsENKI GORMONAL'NOGO FONA I DENSITOMETRII DLYa DIAGNOSTIKI OSTEOPOROZA

    No full text
    ЦСль. ΠžΡ†Π΅Π½ΠΈΡ‚ΡŒ ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ Π³ΠΎΡ€ΠΌΠΎΠ½ΠΎΠ² ΡƒΡ‡Π°ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… Π² Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ костной Ρ‚ΠΊΠ°Π½ΠΈ ΠΈ Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… биохимичСских ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² Π΅Π΅ поврСТдСния, Π° Ρ‚Π°ΠΊ ΠΆΠ΅ значСния ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ дСнситомСтрии Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ стадиСй остСопороза. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдовании ΠΏΡ€ΠΈΠ½ΠΈΠΌΠ°Π»ΠΈ участиС 45 русских ΠΆΠ΅Π½Ρ‰ΠΈΠ½, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Π±Ρ‹Π»ΠΈ Ρ€Π°Π·Π΄Π΅Π»Π΅Π½Ρ‹ Π½Π° 3 Π³Ρ€ΡƒΠΏΠΏΡ‹: 1 Π³Ρ€ΡƒΠΏΠΏΠ° - 15 условно Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹Ρ…, 2 Π³Ρ€ΡƒΠΏΠΏΠ° - 15 ΠΆΠ΅Π½Ρ‰ΠΈΠ½ с остСопСниСй ΠΈ 3 Π³Ρ€ΡƒΠΏΠΏΠ° - 15 Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ с остСопорозом, Π² возрастС ΠΎΡ‚ 48 Π΄ΠΎ 60 Π»Π΅Ρ‚. ΠœΠΈΠ½Π΅Ρ€Π°Π»ΡŒΠ½Π°Ρ ΠΏΠ»ΠΎΡ‚Π½ΠΎΡΡ‚ΡŒ костной Ρ‚ΠΊΠ°Π½ΠΈ Π² шСйкС Π±Π΅Π΄Ρ€Π° ΠΈ поясничном ΠΎΡ‚Π΄Π΅Π»Π΅ ΠΏΠΎΠ·Π²ΠΎΠ½ΠΎΡ‡Π½ΠΈΠΊΠ° ΡƒΡΡ‚Π°Π½Π°Π²Π»ΠΈΠ²Π°Π»Π°ΡΡŒ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ рСнтгСновской дСнситомСтрии посрСдством Π’-критСрия. Π’ сывороткС ΠΊΡ€ΠΎΠ²ΠΈ опрСдСляли ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡŽ ΠΊΠΎΡ€Ρ‚ΠΈΠ·ΠΎΠ»Π°, ΠΎΠ±Ρ‰Π΅Π³ΠΎ Ρ‚Ρ€ΠΈΠΉΠΎΠ΄Ρ‚ΠΈΡ€ΠΎΠ½ΠΈΠ½Π°, ΠΏΠ°Ρ€Π°-Ρ‚ΠΈΡ€Π΅ΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ Π³ΠΎΡ€ΠΌΠΎΠ½Π°, ΠΊΠ°Π»ΡŒΡ†ΠΈΡ‚Ρ€ΠΈΠΎΠ»Π° ΠΈ эстрадиола ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ ИЀА. Π’Π°ΠΊΠΆΠ΅ опрСдСляли ΡƒΡ€ΠΎΠ²Π½ΠΈ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² распада ΠΊΠΎΠ»Π»Π°Π³Π΅Π½Π°: Π‘-ΠΊΠΎΠ½Ρ†Π΅Π²Ρ‹Ρ… Ρ‚Π΅Π»ΠΎΠΏΠ΅ΠΏΡ‚ΠΈΠ΄ΠΎΠ² ΠΊΠΎΠ»Π»Π°Π³Π΅Π½Π° I Ρ‚ΠΈΠΏΠ° ΠΈ ΠΏΠΈΡ€ΠΈΠ΄ΠΎΠ½ΠΎΠ»ΠΈΠ½Π°. Π‘Ρ‚Π°Ρ‚ΠΈΡΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΡƒ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΏΠ°ΠΊΠ΅Ρ‚Π° ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½Ρ‹Ρ… ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ Statistica 6.0 for Windows. ΠšΠΎΠ»ΠΈΡ‡Π΅ΡΡ‚Π²Π΅Π½Π½Ρ‹Π΅ Π΄Π°Π½Π½Ρ‹Π΅ прСдставляли Π² Π²ΠΈΠ΄Π΅ ΠΌΠ΅Π΄ΠΈΠ°Π½Ρ‹ с Π²Π΅Ρ€Ρ…Π½ΠΈΠΌ ΠΈ Π½ΠΈΠΆΠ½ΠΈΠΌ квартилями (25-ΠΉ ΠΈ 75-ΠΉ ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚ΠΈΠ»ΠΈ) - Me (25;75). ΠŸΡ€ΠΈ сравнСнии количСствСнных ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, использовали ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΈ Манна-Π£ΠΈΡ‚Π½ΠΈ. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π”Π°Π½Π½Ρ‹Π΅ дСнситомСтрии Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Ρ€Π°Π·Π»ΠΈΡ‡Π°Π»ΠΈΡΡŒ Π²ΠΎ 2 ΠΈ 3 Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… ΠΆΠ΅Π½Ρ‰ΠΈΠ½ ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π΅ΠΌ (p<0,001) ΠΈ Π±Ρ‹Π»ΠΈ Ρ€Π°Π²Π½Ρ‹ ΠΏΠΎ Π’-ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ шСйки Π±Π΅Π΄Ρ€Π°: 0,90 [0,63; 1,23], -1,65 [-2,28; -0,78], -1,80 [-2,10; -1,20] SD; ΠΏΠΎ T-ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ ΠΏΠΎΠ·Π²ΠΎΠ½ΠΎΡ‡Π½ΠΈΠΊΠ°: 0,35 [-0,18; 1,13], -1,95 [-3,50; -1,38], -1,15 [-2,30; 0] SD Π² 1, 2 ΠΈ 3 Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… соотвСтствСнно. Π›Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Π΅ исслСдования ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ Ρƒ всСх обслСдуСмых Π»ΠΈΡ† ΡƒΡ€ΠΎΠ²Π½ΠΈ Π³ΠΎΡ€ΠΌΠΎΠ½ΠΎΠ² Π±Ρ‹Π»ΠΈ Π² ΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ… рСфСрСнсных Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ. Π‘ΠΎΠ΄Π΅Ρ€ΠΆΠ°Π½ΠΈΠ΅ эстрадиола, ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π΅ΠΌ, Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с остСопСниСй Π±Ρ‹Π»ΠΎ мСньшС Π½Π° 15% (p=0,002), Π° Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ с остСопорозом - Π½Π° 8,4% (p=0,036). ЗначСния ΠΊΠ°Π»ΡŒΡ†ΠΈΡ‚Ρ€ΠΈΠΎΠ»Π° Π±Ρ‹Π»ΠΈ Π²Ρ‹ΡˆΠ΅ Π½Π° 107% (p=0,001) Π²ΠΎ 2 Π³Ρ€ΡƒΠΏΠΏΠ΅ ΠΈ Π½Π° 43% (p=0,036) - Π² Ρ‚Ρ€Π΅Ρ‚ΡŒΠ΅ΠΉ ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π΅ΠΌ, ΠΈ ΠΊΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, Π²ΠΎ Π²Ρ‚ΠΎΡ€ΠΎΠΉ Π²Ρ‹ΡˆΠ΅, Ρ‡Π΅ΠΌ Π² Ρ‚Ρ€Π΅Ρ‚ΡŒΠ΅ΠΉ Π½Π° 31% (p=0,045). ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ ΠŸΠ’Π“ Ρ‚Π°ΠΊΠΆΠ΅ Π±Ρ‹Π»Π° наибольшСй Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ с остСопСниСй: Π½Π° 51% (p=0,002) большС Ρ‡Π΅ΠΌ Π² ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π΅. Π’Π°ΠΊΠΆΠ΅ Π±Ρ‹Π»ΠΈ рассчитаны ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Π²Π΅Π»ΠΈΡ‡ΠΈΠ½ Π³ΠΎΡ€ΠΌΠΎΠ½ΠΎΠ², ΡƒΡ‡Π°ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… Π² ΠΊΠ°Π»ΡŒΡ†ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΈ Π΄Π΅ΠΌΠΈΠ½ΠΈΡ€Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ костной Ρ‚ΠΊΠ°Π½ΠΈ, Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΠ΅ связь ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ костно-суставной систСмы с Π³ΠΎΡ€ΠΌΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ измСнСниями. НаиболСС Π·Π½Π°Ρ‡ΠΈΠΌΡ‹Π΅ различия выявлСны Π² ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ эстрадиола ΠΈ ΠΏΠ°Ρ€Π°Ρ‚ΠΈΡ€Π΅ΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ Π³ΠΎΡ€ΠΌΠΎΠ½Π°, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Π±Ρ‹Π»ΠΈ Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ с остСопСниСй Π½Π° 46% (p=0,006), Π° Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ с остСопорозом Π½Π° 41% (p=0,041) Π½ΠΈΠΆΠ΅, Ρ‡Π΅ΠΌ Π² ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π΅. НаибольшиС Π³ΠΎΡ€ΠΌΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Π΅ измСнСния Ρ€Π΅Π³ΠΈΡΡ‚Ρ€ΠΈΡ€ΡƒΡŽΡ‚ΡΡ Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ с остСопСниСй. ΠšΠΎΡΡ„Ρ„ΠΈΡ†ΠΈΠ΅Π½Ρ‚ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ эстрадиола ΠΊ ΠŸΠ’Π“ Π³ΠΎΡ€ΠΌΠΎΠ½Ρƒ Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ контроля составил 1,82 [1,10; 2,33], Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ с остСопСниСй 0,99 [0,93; 1,06], Π° с остСопорозом 1,43 [1,01; 1,58]. ΠŸΡ€ΠΈ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΎΡ„Π°ΠΊΡ‚ΠΎΡ€Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π³ΠΎΡ€ΠΌΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ статуса ΠΈ биохимичСских ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² поврСТдСния костной Ρ‚ΠΊΠ°Π½ΠΈ ΠΊ Π’-ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ ΠΏΠΎΠ·Π²ΠΎΠ½ΠΎΡ‡Π½ΠΈΠΊΠ° ΠΈ шСйки Π±Π΅Π΄Ρ€Π° уставили, Ρ‡Ρ‚ΠΎ ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ эстрадиола ΠΊ ΠΏΠ°Ρ€Π°Ρ‚ΠΈΡ€Π΅ΠΎΠ΄Π½ΠΎΠΌΡƒ Π³ΠΎΡ€ΠΌΠΎΠ½Ρƒ ΠΈΠΌΠ΅Π΅Ρ‚ ΡΠΈΠ»ΡŒΠ½ΡƒΡŽ связь с ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΌΠΈΠ½Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ плотности ΠΏΠΎΠ·Π²ΠΎΠ½ΠΎΡ‡Π½ΠΈΠΊΠ° Π² Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ². Π­Ρ‚ΠΎ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π°Π΅Ρ‚ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ использования Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Π² качСствС Ρ€Π°Π½Π½Π΅Π³ΠΎ диагностичСского ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π° развития остСопороза. Π’Ρ‹Π²ΠΎΠ΄Ρ‹. НаиболСС цСлСсообразно ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ Π² качСствС Ρ€Π°Π½Π½ΠΈΡ… биохимичСских ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² развития остСопороза Ρƒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ ΠΏΠ°Ρ€Π°Ρ‚Π³ΠΎΡ€ΠΌΠΎΠ½Π°, эстрадиола ΠΈ ΠΈΡ… ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅. ЗначСния ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ дСнситомСтрии ΠΏΠΎ Π’-ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ шСйки Π±Π΅Π΄Ρ€Π° Π² большСй стСпСни ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‚ стСпСни тяТСсти остСопороза, Π½Π΅ΠΆΠ΅Π»ΠΈ Π²Π΅Π»ΠΈΡ‡ΠΈΠ½Ρ‹ T-критСрия ΠΏΠΎΠ·Π²ΠΎΠ½ΠΎΡ‡Π½ΠΈΠΊΠ°

    AGE-DEPENDING EFFICIENCY AND SAFETY OF TOPIRAMATE IN PATIENTS WITH DIFFERENT FORMS OF EPILEPSY

    No full text
    Abstract: the aim of the study was to analyst the efficiency and safety of topiramate in children and adult epileptic populations depending on the patient’s age and forms of epilepsy. 597 epileptic patients receiving topiramate (302 males, 295 females) aged from 2 up 57 years were followed with video-EEG control during the period of 2002-2012. Topiramate was effective at 66,2% of patients (n=395). Low efficiency was seen at 26,8% (n=160) patients. The aggravation effect has been noted at 7% (n=42) of patients. Drug compliance (for &gt;1 year) was 61,8% (n=369). High efficiency in group 2-3 year (n=134) was 53,8% (n=72), low efficiency in 34,3% (n=46), aggravation – in 11,9% cases (n=16); in group &gt;3-7 years (n=253) high efficiency 59,7% (n=151), low 32% (n=81), aggravation in 8,3% (n=21); in pediatric population &gt;7 years (n=132) high efficiency 81,8% (n=108), low effect in 15,2% (n=20), and 3% aggravation (n=4); in adult population &gt;18 years (n=78) the efficiency was 82,1% (n=64), low effect 16,6% (n=13) and aggravation in 1,3% (n=1). So, topiramate is highly effective medication in the therapy of idiopathic generalized epilepsies without absences and in symptomatic/cryptogenic focal forms of epilepsy. Topiramate could also be useful additional drug in the therapy of epileptic encephalopathies. With the increasing of patients’ age the efficiency of topiramate raised, while the aggravation risks decreased. Peak of aggravation potential was seen in early childhood population and maximal effectiveness – in children up 7 years and adult population

    Collection of samples from women at different stages of pregnancy to search for early biomarkers of preterm birth

    Get PDF
    Aim. To create a collection of samples from women at different stages of pregnancy to search for early biomarkers of preterm birth.Material and methods. In order to standardize the sample collection, standard operation procedures have been developed with a step-by-step protocol for each research member at the clinical (collection of medical data and biological material) and laboratory (transportation, sample preparation, storage, quality control) stages.Results. As of October 1, 2020, the collection includes peripheral blood samples from 182 women. Whole blood, serum, plasma, buffy coat and urine were collected during pregnancy, and placenta and umbilical cord blood samples β€” during labor. Clinical and medical history data was obtained about each pregnant woman, which includes data on the woman’s health status, the course and outcome of pregnancy. An electronic catalog has been created with information on samples (data on clinical characteristics and the number of aliquots of each sample type). The quality control (assessment of DNA and microRNA) was carried out, which showed the compliance of the obtained samples with the quality criteria and the preservation of initial characteristics during long-term storage. On the basis of collection, a study has begun to assess the level of microRNA expression in various types of biomaterial, in order to search for early biomarkers of premature birth.Conclusion. The creation of a collection of samples from pregnant women is a significant groundwork for future fundamental and applied research in various fields of biomedicine. This collection may provide an in-depth study of the pathogenesis of various pregnancy complications and the development of new methods for their diagnosis and treatment.
    corecore