6 research outputs found
Soil and soil breathing remote monitoring: A short review
The efficiency of agricultural use of soils depends directly on their quality indicators, which include an extended set of characteristics: from data of the environmental situation to the component composition of the soil air. Therefore, for a more complete survey of agricultural land in order to determine their qualitative indicators and subsequent application, it is necessary to carry out comprehensive monitoring while simultaneously studying the characteristics of soils and their air composition. The article is devoted to the literature analysis on the remote monitoring of soils and soil air. Particular attention was paid to the relationship between soil type and soil air composition and it was found that the soil air composition (in the combination with pH and humidity parameters) can assess the type, quality and environmental condition of soils. Since when developing a remote monitoring system of soil air soil moisture and soil structure significantly affect the processes occurring in soils, and ultimately the quantitative composition of soil air, it is very important to know the dependence of the soil air composition on the type and quality of the soil itself, the influence of moisture, structure and other parameters on it. It was shown that the use of sensors is a promising direction for the development of the soils and soil air remote monitoring. It was indicated that soil and soil air remote monitoring in real time will provide reliable, timely information on the environmental status of soils and their quality. Commercial sensors that can be used to determine CO2, O2, NOx, CH4, CO, H2 and NH3 were considered and the technique for sensor signal processing was chosen. A remote monitoring system with the use of existing commercial sensors was proposed, the movement of which can be realized with the help of quadcopter, which will allow parallel scanning of the soils and the land terrain. Such a system will make it possible to correctly assess the readiness of soils for planting, determine their intended use, correctly apply fertilizers, and even predict the yield of certain crops. Thereby, this approach will create a modern on-line system for full monitoring of soil, land and rapid response in the case of its change for the agro-industrial sector
ΠΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π½Π΅ΠΏΡΡΠΌΡΡ ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² ΡΠΈΠ±ΡΠΎΠ·Π° ΠΏΠ΅ΡΠ΅Π½ΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Ρ ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌ Π³Π΅ΠΏΠ°ΡΠΈΡΠΎΠΌ Π
Aim of investigation: The aim of the present study was to evaluate the possibility using of indirect liver fibrosis markers for the estimation of fibrosis severity and timely prescribing of antiviral therapy in patients with chronic hepatitis B.Materials and methods: We examined 130 patients with chronic hepatitis B (mean age 41,8Β±13,5 years, 70% of men) having known liver fibrosis stage based on fibroelastography or liver biopsy. The age of patients, 9 parameters of biochemical blood analysis, complete blood count and coagulogram along with 7 indices calculated on their base were considered. Their prognostic values were estimated by means of ROC analysis.Results: According to increase of liver fibrosis stage albumin, prothrombin index, platelet count, cholesterol reduce and aspartate aminotransferase, international normalized ratio, gamma-glutamyl transpeptidase, alanine aminotransferase, alkaline phosphatase levels rise (p<0,01). All of the laboratory parameters and indices were significantly different (p<0,01) in patients with minimal (F0βF1) and advanced (F2βF4) fibrosis. For patients with chronic hepatitis B the most significant predictors of advanced liver fibrosis (F2βF4) were: GUCI and Kingβs score indices as well as eLIFT scale. Index GUCI had the best diagnostic performance (area under the receiver operating characteristic curve 0,866) with 89,5% sensitivity and 78,0% specificity at cut off β₯0,7/ Conclusion: The assessment of indirect liver fibrosis markers in patients with chronic hepatitis B can be easily performed at any stage of medical care; they are quite informative and can be used for the estimation of fibrosis severity and timely conducting antiviral therapy.Π¦Π΅Π»Ρ: ΠΎΡΠ΅Π½ΠΈΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π½Π΅ΠΏΡΡΠΌΡΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² ΠΈ ΡΠ°ΡΡΡΠΈΡΠ°Π½Π½ΡΡ
Π½Π° ΠΈΡ
ΠΎΡΠ½ΠΎΠ²Π΅ ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΠΏΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΡΠΈΠ±ΡΠΎΠ·Π° ΠΏΠ΅ΡΠ΅Π½ΠΈ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΠ±ΡΠΎΠ·Π° ΠΈ ΡΠ²ΠΎΠ΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ Π½Π°Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌ Ρ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌ Π³Π΅ΠΏΠ°ΡΠΈΡΠΎΠΌ Π. ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ: ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΎ 130 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌ Π³Π΅ΠΏΠ°ΡΠΈΡΠΎΠΌ Π (ΡΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ 41,8Β±13,5 Π»Π΅Ρ, 70% ΠΌΡΠΆΡΠΈΠ½) Ρ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΡΡ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΡΠΈΠ±ΡΠΎΠ·Π° Π½Π° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΡΠΈΠ±ΡΠΎΡΠ»Π°ΡΡΠΎΠΌΠ΅ΡΡΠΈΠΈ Π»ΠΈΠ±ΠΎ Π±ΠΈΠΎΠΏΡΠΈΠΈ ΠΏΠ΅ΡΠ΅Π½ΠΈ. Π£ΡΠΈΡΡΠ²Π°Π»ΠΈΡΡ Π²ΠΎΠ·ΡΠ°ΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², 9 ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΊΡΠΎΠ²ΠΈ, Π³Π΅ΠΌΠΎΠ³ΡΠ°ΠΌΠΌΡ ΠΈ ΠΊΠΎΠ°Π³ΡΠ»ΠΎΠ³ΡΠ°ΠΌΠΌΡ, Π° ΡΠ°ΠΊΠΆΠ΅ 7 ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ², ΡΠ°ΡΡΡΠΈΡΠ°Π½Π½ΡΡ
Π½Π° ΠΈΡ
ΠΎΡΠ½ΠΎΠ²Π΅. ΠΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ Π½Π΅ΠΏΡΡΠΌΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠΈΠ±ΡΠΎΠ·Π° ΠΈ ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»Π°ΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ROC-Π°Π½Π°Π»ΠΈΠ·Π°.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: Ρ Π½Π°ΡΠ°ΡΡΠ°Π½ΠΈΠ΅ΠΌ ΡΡΠ°Π΄ΠΈΠΈ ΡΠΈΠ±ΡΠΎΠ·Π° ΠΏΠ΅ΡΠ΅Π½ΠΈ Π² ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΡΠΎΠ²ΠΈ ΡΠ½ΠΈΠΆΠ°Π΅ΡΡΡ ΡΡΠΎΠ²Π΅Π½Ρ Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π°, ΠΏΡΠΎΡΡΠΎΠΌΠ±ΠΈΠ½ΠΎΠ²ΠΎΠ³ΠΎ ΠΈΠ½Π΄Π΅ΠΊΡΠ°, ΡΡΠΎΠΌΠ±ΠΎΡΠΈΡΠΎΠ², Ρ
ΠΎΠ»Π΅ΡΡΠ΅ΡΠΈΠ½Π°, ΠΏΠΎΠ²ΡΡΠ°Π΅ΡΡΡ ΡΡΠΎΠ²Π΅Π½Ρ Π°ΡΠΏΠ°ΡΡΠ°ΡΠ°ΠΌΠΈΠ½ΠΎΡΡΠ°Π½ΡΡΠ΅ΡΠ°Π·Ρ, ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ Π½ΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ, Π³Π°ΠΌΠΌΠ°Π³Π»ΡΡΠ°ΠΌΠΈΠ»ΡΡΠ°Π½ΡΠΏΠ΅ΠΏΡΠΈΠ΄Π°Π·Ρ, Π°Π»Π°Π½ΠΈΠ½Π°ΠΌΠΈΠ½ΠΎΡΡΠ°Π½ΡΡΠ΅ΡΠ°Π·Ρ, ΡΠ΅Π»ΠΎΡΠ½ΠΎΠΉ ΡΠΎΡΡΠ°ΡΠ°Π·Ρ (p<0,01). ΠΡΠ΅ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΈ ΠΈΠ½Π΄Π΅ΠΊΡΡ Π·Π½Π°ΡΠΈΠΌΠΎ ΡΠ°Π·Π»ΠΈΡΠ°ΡΡΡΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΡΠΌ (F0βF1) ΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΡΠΌ (F2βF4) ΡΠΈΠ±ΡΠΎΠ·ΠΎΠΌ ΠΏΠ΅ΡΠ΅Π½ΠΈ (Ρ<0,01). ΠΠ°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡ Π΄Π»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΈΠ±ΡΠΎΠ·Π° ΠΏΠ΅ΡΠ΅Π½ΠΈ ΠΈΠ½Π΄Π΅ΠΊΡΡ GUCI, Kingβs score ΠΈ ΡΠΊΠ°Π»Π° eLIFT, Π° Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΡΠΌ (ΠΏΠ»ΠΎΡΠ°Π΄Ρ ΠΏΠΎΠ΄ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΡΠΈΠ²ΠΎΠΉ 0,866) Ρ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡΡ 89,5% ΠΈ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΡΡΡΡ 78,0% ΠΏΡΠΈ ΡΠΎΡΠΊΠ΅ ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΡ β₯0,7 ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΈΠ½Π΄Π΅ΠΊΡ GUCI. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π΅ΠΏΡΡΠΌΡΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² ΡΠΈΠ±ΡΠΎΠ·Π° ΠΏΠ΅ΡΠ΅Π½ΠΈ Π»Π΅Π³ΠΊΠΎ Π²ΡΠΏΠΎΠ»Π½ΠΈΠΌΠΎ Π½Π° Π»ΡΠ±ΠΎΠΌ ΡΡΠ°ΠΏΠ΅ ΠΎΠΊΠ°Π·Π°Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ ΠΈ ΠΌΠΎΠΆΠ΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡΡΡ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΠ±ΡΠΎΠ·Π° ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΈΠΉ ΠΊ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌ Π³Π΅ΠΏΠ°ΡΠΈΡΠΎΠΌ Π
ΠΠ·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ Π½Π΅ΠΊΠΎΡΠΎΡΡΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΌΡΠΊΠΎΠ·Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΠΌΠΌΡΠ½ΠΈΡΠ΅ΡΠ° ΠΏΠΎΠ»ΠΎΡΡΠΈ ΡΡΠ° Ρ ΡΡΠΎΠ²Π½Π΅ΠΌ Π²ΠΈΡΠ°ΠΌΠΈΠ½Π° D Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΊΠ°ΡΠΈΠ΅ΡΠΎΠΌ
Aim. To determine the saliva level of immunoregulatory proteins in patients with rampant caries and 25-hydroxyvitamin D (25(OH)D) deficiency and evaluate the association of their concentration with 25(OH)D plasma level.Materials and methods. The study was performed in two groups. The experimental group included 15 patients aged 20β22 years with rampant caries and the 25(OH)D plasma level of < 20 ng / ml. The control group encompassed 15 healthy age-matched volunteers with the 25(OH)D plasma level of 20β100 ng / ml. The concentrations of B7.2 (CD86), free active TGF-Ξ²1, CTLA-4, PD-1, Tim-3, LAG-3, IGFBP-4, and ICAM-1 were assessed using flow cytometry. The levels of LL-37 and secretory immunoglobulin A (sIgA) were measured using ELISA. The Spearmanβs rank correlation coefficient was used to reveal a correlation between the indicated proteins and the 25(OH)D plasma level.Results. A decrease in B7.2 (CD86), PD-1, Tim-3, sIgA, and LL-37 and elevation of IGFBP-4 and ICAM-1 saliva levels were detected in patients with rampant caries and 25-hydroxyvitamin D deficiency. A positive Spearmanβs rank correlation coefficient was revealed between plasma 25(OH)D and saliva levels of free active TGF-Ξ²1, CTLA4, B7.2 (CD86), LL-37, and sIgA. A negative correlation was revealed between 25(OH)Dand ICAM-1.Conclusion. 25(OH)D deficiency in patients with rampant caries is associated with decreased levels of B7.2 (CD86), PD-1, Tim-3, sIgA, and LL-37 and elevated levels of IGFBP-4 and ICAM-1 in the saliva.Β Π¦Π΅Π»Ρ β ΠΎΡΠ΅Π½ΠΈΡΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠ½ΡΡ
ΠΌΠΎΠ»Π΅ΠΊΡΠ» Π² ΡΠ»ΡΠ½Π΅ Ρ Π»ΠΈΡ Ρ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΊΠ°ΡΠΈΠ΅ΡΠΎΠΌ ΠΈ Π΄Π΅ΡΠΈΡΠΈΡΠΎΠΌ 25(OH)D3 ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΠΈΡ
Π²Π΅Π»ΠΈΡΠΈΠ½ Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠ΅ΠΉ 25(OH)D3 Π² ΠΊΡΠΎΠ²ΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ Π΄Π²Π΅ Π³ΡΡΠΏΠΏΡ Π»ΠΈΡ Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 20β22 Π»Π΅Ρ. Π ΠΎΠ΄Π½Ρ Π²ΠΊΠ»ΡΡΠ΅Π½Ρ 15 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ Ρ ΠΊΠ°ΡΠΈΠ΅ΡΠΎΠΌ ΠΈ ΡΡΠΎΠ²Π½Π΅ΠΌ 25(OH)D3 ΠΌΠ΅Π½Π΅Π΅ 20 Π½Π³/ΠΌΠ», Π² Π΄ΡΡΠ³ΡΡ (ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΡΡ) β 15 Π·Π΄ΠΎΡΠΎΠ²ΡΡ
ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ Ρ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ 25(OH)D3 30β100 Π½Π³/ΠΌΠ». Π ΡΠΎΡΠΎΠ²ΠΎΠΉ ΠΆΠΈΠ΄ΠΊΠΎΡΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΡΠ°ΡΡΠ²ΠΎΡΠΈΠΌΡΡ
ΡΠΎΡΠΌ ΠΌΠΎΠ»Π΅ΠΊΡΠ» B7.2 (CD86), Free Active TGF-b1, CTLA-4, PD-1, Tim-3, LAG-3, IGFBP-4, ICAM-1 ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΏΡΠΎΡΠΎΡΠ½ΠΎΠΉ ΡΠΈΡΠΎΡΠ»ΡΠΎΠΌΠ΅ΡΡΠΈΠΈ, ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΊΠ°ΡΠ΅Π»ΠΈΡΠΈΠ΄ΠΈΠ½Π° LL-37, ΡΠ΅ΠΊΡΠ΅ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΈΠΌΠΌΡΠ½ΠΎΠ³Π»ΠΎΠ±ΡΠ»ΠΈΠ½Π° A (IgA) ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅ΡΠΌΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°. ΠΠ΅ΠΆΠ΄Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅ΠΌΡΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ ΡΠ°ΡΡΡΠΈΡΠ°Π½ ΠΊΡΠΈΡΠ΅ΡΠΈΠΉ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ Π‘ΠΏΠΈΡΠΌΠ΅Π½Π°.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π£ Π»ΠΈΡ Ρ ΠΊΠ°ΡΠΈΠ΅ΡΠΎΠΌ ΠΈ Π΄Π΅ΡΠΈΡΠΈΡΠΎΠΌ Π²ΠΈΡΠ°ΠΌΠΈΠ½Π° D Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ Free Active TGF-b1, B7.2 (CD86), PD-1, Tim-3, sIgA, ΠΊΠ°ΡΠ΅Π»ΠΈΡΠΈΠ΄ΠΈΠ½Π° LL-37 ΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ IGFBP-4 ΠΈ ICAM-1 Π² ΡΠ»ΡΠ½Π΅. ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΏΡΡΠΌΡΡ
ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ²ΡΠ·Π΅ΠΉ ΠΌΠ΅ΠΆΠ΄Ρ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ 25(OH)D3 Π² ΠΊΡΠΎΠ²ΠΈ, Ρ ΠΎΠ΄Π½ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Ρ, ΠΈ Π·Π½Π°ΡΠ΅Π½ΠΈΡΠΌΠΈ Free Active TGF-b1, CTLA-4, Π7.2 (CD86), ΡΠ΅ΠΊΡΠ΅ΡΠΎΡΠ½ΠΎΠ³ΠΎ IgA, ΠΏΠ΅ΠΏΡΠΈΠ΄Π° LL-37 β Ρ Π΄ΡΡΠ³ΠΎΠΉ. ΠΠ°ΡΠΈΠΊΡΠΈΡΠΎΠ²Π°Π½Π° ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½Π°Ρ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ Π²Π΅Π»ΠΈΡΠΈΠ½Π°ΠΌΠΈ 25(OH)D3 ΠΈ ICAM-1.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ° ΡΠΎΠ½Π΅ Π΄Π΅ΡΠΈΡΠΈΡΠ° Π²ΠΈΡΠ°ΠΌΠΈΠ½Π° D ΠΏΡΠΈ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΌ ΠΊΠ°ΡΠΈΠ΅ΡΠ΅ Π² ΡΠΎΡΠΎΠ²ΠΎΠΉ ΠΆΠΈΠ΄ΠΊΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΡΡΡΠΈΡΡΡΡΡΡ Π½ΠΈΠ·ΠΊΠΈΠ΅ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ Free Active TGF-b1, B7.2 (CD86), PD-1, Tim-3, ΡΠ΅ΠΊΡΠ΅ΡΠΎΡΠ½ΠΎΠ³ΠΎ IgA, ΠΊΠ°ΡΠ΅Π»ΠΈΡΠΈΠ΄ΠΈΠ½Π° LL-37 ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΊΠΎΠ½ΡΡΠΎΠ»Π΅ΠΌ, Π½ΠΎ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½Ρ Π·Π½Π°ΡΠ΅Π½ΠΈΡ IGFBP-4 ΠΈ ICAM-1.
Calculation of the total energy of SnO[2] fragment of structure using NWChem software
ΠΡΠ½ΠΎΠ²Π½Π°Ρ ΡΠ΅Π»Ρ ΡΠ΅ΠΎΡΠΈΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»Π° ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ ΡΠΎΡΡΠΎΠΈΡ Π² ΡΠΎΠΌ, ΡΡΠΎΠ±Ρ Π·Π°ΠΌΠ΅Π½ΠΈΡΡ ΠΌΠ½ΠΎΠ³ΠΎΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΡΡ Π²ΠΎΠ»Π½ΠΎΠ²ΡΡ ΡΡΠ½ΠΊΡΠΈΡ Π½Π° ΡΡΠ½ΠΊΡΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΠΎΠΉ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ. ΠΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΡΠΏΡΠΎΡΡΠΈΡΡ Π·Π°Π΄Π°ΡΡ, ΡΠ°ΠΊ ΠΊΠ°ΠΊ ΠΌΠ½ΠΎΠ³ΠΎΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½Π°Ρ Π²ΠΎΠ»Π½ΠΎΠ²Π°Ρ ΡΡΠ½ΠΊΡΠΈΡ Π·Π°Π²ΠΈΡΠΈΡ ΠΎΡ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΡΠ½ΠΊΡΠΈΠ΅ΠΉ ΡΠΎΠ»ΡΠΊΠΎ ΡΡΠ΅Ρ
ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ. Π Π°ΡΡΠ΅Ρ ΠΏΠΎΠ»Π½ΠΎΠΉ ΡΠ½Π΅ΡΠ³ΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΠΎΠ±ΠΎΠΉ ΡΠ²Π΅ΡΠ΄ΠΎΠ΅ ΠΊΡΠΈΡΡΠ°Π»Π»ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ΅Π»ΠΎ - 49-Π°ΡΠΎΠΌΠ½ΡΠΉ ΠΊΠ»Π°ΡΡΠ΅Ρ SnO[2] Π±ΡΠ» ΡΠ΄Π΅Π»Π°Π½ Π² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠΌ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠΈ NWChem Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π½Π΅ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° - ΡΠ΅ΠΎΡΠΈΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»Π° ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ (ΠΠΠ€)