143 research outputs found
DYNAMICALLY DETERMINE TOLL-RECEPTORS PATIENTS WITH ULCERATIVE COLITIS
Purpose: Dynamic determination of TLR 2,4,6 in patients with relapsed UC with an assessment of the use of indicators characterizing the state of TLR, as markers of remission.Materials and Methods: The study included 86 patients with recurrent UC, 39 of which have reached clinical and endoscopic remission. TLR expression on peripheral blood monocytes was determined in immunofluorescence test using monoclonal antibodies to TLR2 (Π‘D14+CD282+), TLR4 (Π‘D14+CD284+) ΠΈ TLR6 (Π‘D14+CD286+), conjugated with FITC (fluorescein isothiocyanate) and PE (phycoerythrin) - labeled (HyCultbiotechnology, Holland).Results: number of monocytes expressing TLR 2,4,6 increased activation of the inflammatory process, with remission rates expression of TLR 2,4,6 not different from those in the control group.Conclusion: you can use the number of monocytes expressing TLR 2,4,6 as a marker of remission
RISK ASSESSMENT MODEL FOR CORONARY ATHEROSCLEROSIS IN PATIENTS WITH VISCERAL OBESITY
Aim. To invent a model for coronary atherosclerosis risk prediction in patients with visceral obesity and to conduct comparison research for this model with the other known Framingham and PROCAM.Material and methods. Totally 67 men included, of the age 40-65 (50,95Β±6,54 y.o.) without angina pectoris and clinical signs of another localization atherosclerosis. Patients had general obesity of I-III grade with BMI 35,16Β±3,32 kg/m , and visceral obesity by the thickness of epicaridal fat >7 mm. After coronary arteriography or multidetector computed tomography of coronary arteries we selected 2 comparison groups: group I (n=25) β patients with coronary atherosclerosis, group II (n=42) β without. For the invention of the prognostic score we used regression model with regression and optimal scaling.Results. Potential predictors of coronary atherosclerosis riskas a result of two groups comparison were: arterial hypertension, carbohydrate metabolism disorders, triglycerides, leptin, adiponectin and C-rective protein. As the result of regression analysis each predictor got its own significance mark. The rate of correctclassifications reached 79,1% that shows good prognostic value of this regression model. While using Framingham and PROCAM model the prognostic value of subclinical coronary atherosclerosis was 24,6% and 21,6% lower, resp., than the new risk assessment. Conclusion. The model invented of the risk assessment in visceral obesity patients makes it possible to take into account the main pathogenetic mechanisms that connect obesity and coronary atherosclerosis
Π‘ΡΠ²ΠΎΡΠΎΡΠΎΡΠ½ΡΠ΅ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΡ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΠΌΠ΅Ρ Π°Π½ΠΈΠΊΠΈ Π»Π΅Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠ° Π² ΡΠ°Π½Π½Π΅ΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ Π΄ΠΈΠ°ΡΡΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΡΡΡΠ½ΠΊΡΠΈΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΠΏΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΡΠΌ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ
Highlights. Patients with epicardial obesity develop myocardial fibrosis (the underlying mechanism of left ventricular diastolic dysfunction) the preclinical diagnosis of which is difficult to perform. In this regard, the search for non-invasive methods for diagnosing diastolic dysfunction at an early stage, including the methods of determining the serum level of biomarkers of heart failure and studying the parameters of left ventricular mechanics using speckle-tracking echocardiography, seems quite relevant.Background. Currently, the search for serum biomarkers and non-invasive methods for diagnosing diastolic dysfunction (DD) of the left ventricle (LV) at the preclinical stage in obese patients is relevant.Aim. To study the levels of heart failure biomarkers and their association with profibrotic factors and LV mechanics in patients depending on the presence of epicardial obesity (EO).Methods. Out of 143 men with general obesity, depending on the severity of EO, determined by the thickness of epicardial adipose tissue (tEΠT), 2 groups of patients were identified: the EO (+) group with tEΠT 7 mm or more (n = 70), and the EO (β) group with tEΠT less than 7 mm (n = 40). The exclusion criteria from the study were: arterial hypertension, type 2 diabetes mellitus, coronary artery disease, and the presence of LVDD detected by echocardiography (echo). Levels of profibrotic factors (type I and type III collagen, procollagen type I C-terminal propeptide (PICP), matrix metalloproteinase-3 (MMP-3), transforming growth factor-Ξ² (TGF-Ξ²), vascular endothelial growth factor A (VEGF-A), sST2, and NT-proBNP were determined in all patients using enzyme immunoassay. With the help of speckle-tracking echocardiography, the mechanics of LV were analyzed.Results. The EO (+) group presented with increased sST2 level (22.11Β±7.36 ng/mL) compared to the EO (β) group (sST2 level 9.79Β±3.14 ng/mL (p<0.0001). In the EO (+) group, a significant influence of tEAT on sST2 level was identified (F = 8.57; p = 0.005). In the EO (+) group, an increase in the level of MMP-3, type I collagen, type III collagen, PICP, transforming growth factor-Ξ², and VEGF-A was revealed. Moreover, in the EO (+) group, a statistically significant relationship between sST2 and type III collagen was revealed (p = 0.01). When comparing the parameters of speckle-tracking echo, the EO group (+) presented with increased LV untwisting rate of β128.31 (β142.0; β118.0) deg/s-1 (p = 0.002), and increased time to LV peak untwisting rate of β 476.44 (510.0; 411.0) msec compared with the EO group (β) (p = 0.03). Moreover, a significant association between LV untwisting rate and sST2 level was revealed in the EO (+) group (r = 0.35; p = 0.02).>Λ0.0001). In the EO (+) group, a significant influence of tEAT on sST2 level was identified (F = 8.57; p = 0.005). In the EO (+) group, an increase in the level of MMP-3, type I collagen, type III collagen, PICP, transforming growth factor-Ξ², and VEGF-A was revealed. Moreover, in the EO (+) group, a statistically significant relationship between sST2 and type III collagen was revealed (p = 0.01). When comparing the parameters of speckle-tracking echo, the EO group (+) presented with increased LV untwisting rate of β128.31 (β142.0; β118.0) deg/s-1 (p = 0.002), and increased time to LV peak untwisting rate of β 476.44 (510.0; 411.0) msec compared with the EO group (β) (p = 0.03). Moreover, a significant association between LV untwisting rate and sST2 level was revealed in the EO (+) group (r = 0.35; p = 0.02).Conclusion. The data obtained indicate that patients with EO have LVDD, which could not be detected using echo criteria for LVDD, and the determination of serum levels of the heart failure biomarker - sST2 can be used for the diagnosis of LVDD at the early stage.ΠΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ. Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΠΏΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΡΠΌ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠ°Π·Π²ΠΈΠ²Π°Π΅ΡΡΡ ΡΠΈΠ±ΡΠΎΠ· ΠΌΠΈΠΎΠΊΠ°ΡΠ΄Π°, Π»Π΅ΠΆΠ°ΡΠΈΠΉ Π² ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π°ΡΡΡΠ΅Π½ΠΈΡ Π΄ΠΈΠ°ΡΡΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ Π»Π΅Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠ°, Π΄ΠΎΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠ°Ρ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ° ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ Π·Π°ΡΡΡΠ΄Π½ΠΈΡΠ΅Π»ΡΠ½Π°. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΊΡΠ°ΠΉΠ½Π΅ Π°ΠΊΡΡΠ°Π»Π΅Π½ ΠΏΠΎΠΈΡΠΊ Π½Π΅ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ Π΄ΠΈΠ°ΡΡΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΡΡΡΠ½ΠΊΡΠΈΠΈ Π½Π° ΡΠ°Π½Π½Π΅ΠΉ ΡΡΠ°Π΄ΠΈΠΈ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΡΠ²ΠΎΡΠΎΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΌΠ΅Ρ
Π°Π½ΠΈΠΊΠΈ Π»Π΅Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠ° Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ speckle-tracking ΡΡ
ΠΎΠΊΠ°ΡΠ΄ΠΈΠΎΠ³ΡΠ°ΡΠΈΠΈ.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ Π°ΠΊΡΡΠ°Π»Π΅Π½ ΠΏΠΎΠΈΡΠΊ Π½Π΅ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ Π΄ΠΈΠ°ΡΡΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΡΡΡΠ½ΠΊΡΠΈΠΈ (ΠΠ) Π»Π΅Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠ° (ΠΠ) Π½Π° Π΄ΠΎΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΡΠ°ΠΏΠ΅, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ.Π¦Π΅Π»Ρ. ΠΠ·ΡΡΠΈΡΡ ΡΡΠΎΠ²Π½ΠΈ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΈΡ
Π°ΡΡΠΎΡΠΈΠ°ΡΠΈΡ Ρ ΠΏΡΠΎΡΠΈΠ±ΡΠΎΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ°ΠΊΡΠΎΡΠ°ΠΌΠΈ ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ ΠΌΠ΅Ρ
Π°Π½ΠΈΠΊΠΈ ΠΠ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Π½Π°Π»ΠΈΡΠΈΡ ΡΠΏΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ (ΠΠ).ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ· 143 ΠΌΡΠΆΡΠΈΠ½ Ρ ΠΎΠ±ΡΠΈΠΌ ΠΎΠΆΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΠΠ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎ ΡΠΎΠ»ΡΠΈΠ½Π΅ ΡΠΏΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΆΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ (ΡΠΠΠ’), Π²ΡΠ΄Π΅Π»Π΅Π½Ρ Π΄Π²Π΅ Π³ΡΡΠΏΠΏΡ: ΠΠ(+) β ΡΠΠΠ’ 7 ΠΈ Π±ΠΎΠ»Π΅Π΅ ΠΌΠΌ (n = 70), ΠΠ(β) β ΡΠΠΠ’ ΠΌΠ΅Π½Π΅Π΅ 7 ΠΌΠΌ (n = 40). ΠΡΠΈΡΠ΅ΡΠΈΠΈ ΠΈΡΠΊΠ»ΡΡΠ΅Π½ΠΈΡ ΠΈΠ· ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: Π°ΡΡΠ΅ΡΠΈΠ°Π»ΡΠ½Π°Ρ Π³ΠΈΠΏΠ΅ΡΡΠ΅Π½Π·ΠΈΡ, ΡΠ°Ρ
Π°ΡΠ½ΡΠΉ Π΄ΠΈΠ°Π±Π΅Ρ 2-Π³ΠΎ ΡΠΈΠΏΠ°, ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠ°Ρ Π±ΠΎΠ»Π΅Π·Π½Ρ ΡΠ΅ΡΠ΄ΡΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΠ ΠΠ, Π²ΡΡΠ²Π»Π΅Π½Π½ΠΎΠΉ ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΡΡ
ΠΎΠΊΠ°ΡΠ΄ΠΈΠΎΠ³ΡΠ°ΡΠΈΠΈ (ΠΡ
ΠΎΠΠ). ΠΡΠ΅ΠΌ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ ΡΡΠΎΠ²Π΅Π½Ρ ΠΏΡΠΎΡΠΈΠ±ΡΠΎΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² (ΠΊΠΎΠ»Π»Π°Π³Π΅Π½ I ΠΈ III ΡΠΈΠΏΠΎΠ², ΠΏΡΠΎΠΊΠΎΠ»Π»Π°Π³Π΅Π½ I C-ΠΊΠΎΠ½ΡΠ΅Π²ΠΎΠ³ΠΎ ΠΏΡΠΎΠΏΠ΅ΠΏΡΠΈΠ΄Π° (PICP), ΠΌΠ°ΡΡΠΈΠΊΡΠ½Π°Ρ ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠΏΡΠΎΡΠ΅ΠΈΠ½Π°Π·Π°-3 (MMΠ-3), ΡΡΠ°Π½ΡΡΠΎΡΠΌΠΈΡΡΡΡΠΈΠΉ ΡΠ°ΠΊΡΠΎΡ ΡΠΎΡΡΠ°-Ξ² (TGF-Ξ²), ΡΠΎΡΡΠ΄ΠΈΡΡΡΠΉ ΡΠ½Π΄ΠΎΡΠ΅Π»ΠΈΠ°Π»ΡΠ½ΡΠΉ ΡΠ°ΠΊΡΠΎΡ ΡΠΎΡΡ (VEGFA)), sST2 ΠΈ NT-proBNP ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅ΡΠΌΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°. Π‘ ΠΏΠΎΠΌΠΎΡΡΡ speckle-tracking ΠΡ
ΠΎΠΠ ΠΈΠ·ΡΡΠ΅Π½Π° ΠΌΠ΅Ρ
Π°Π½ΠΈΠΊΠ° ΠΠ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π Π³ΡΡΠΏΠΏΠ΅ ΠΠ(+) Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ sST2 Π΄ΠΎ 22,11Β±7,36 Π½Π³/ΠΌΠ» Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ Π³ΡΡΠΏΠΏΠΎΠΉ ΠΠ(β), Π³Π΄Π΅ ΡΡΠΎΠ²Π΅Π½Ρ sST2 ΡΠΎΡΡΠ°Π²ΠΈΠ» 9,79Β±3,14 Π½Π³/ΠΌΠ» (Ρ<0,0001). Π Π³ΡΡΠΏΠΏΠ΅ ΠΠ(+) ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΎ Π·Π½Π°ΡΠΈΠΌΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΠΠ’ Π½Π° ΡΡΠΎΠ²Π΅Π½Ρ sST2 (F = 8,57; p = 0,005). Π’Π°ΠΊΠΆΠ΅ Π² Π³ΡΡΠΏΠΏΠ΅ ΠΠ(+) Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½ΠΎ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ ΠΠΠ-3, ΠΊΠΎΠ»Π»Π°Π³Π΅Π½Π° I ΠΈ III ΡΠΈΠΏΠΎΠ², PICP, TGF-Ξ², VEGFA; ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠ°Ρ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ sST2 ΠΈ ΠΊΠΎΠ»Π»Π°Π³Π΅Π½Π° III ΡΠΈΠΏΠ° (p = 0,01). ΠΡΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ speckle-tracking ΠΡ
ΠΎΠΠ Π² Π³ΡΡΠΏΠΏΠ΅ ΠΠ(+) Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ Π³ΡΡΠΏΠΏΠΎΠΉ ΠΠ(β) ΠΎΡΠΌΠ΅ΡΠ΅Π½ΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ ΡΠ°ΡΠΊΡΡΡΠΈΠ²Π°Π½ΠΈΡ ΠΠ Π΄ΠΎ β128,31 (β142,0; β118,0) Π³ΡΠ°Π΄ΡΡΠ°/Ρβ1 (p = 0,002) ΠΈ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ Π΄ΠΎ ΠΏΠΈΠΊΠ° ΡΠ°ΡΠΊΡΡΡΠΈΠ²Π°Π½ΠΈΡ ΠΠ Π΄ΠΎ 476,44 (510,0; 411,0) ΠΌΡΠ΅ΠΊ (p = 0,03). Π Π΄Π°Π½Π½ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ Π²ΡΡΠ²Π»Π΅Π½Π° Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΡΠΊΠΎΡΠΎΡΡΠΈ ΡΠ°ΡΠΊΡΡΡΠΈΠ²Π°Π½ΠΈΡ ΠΠ ΠΈ ΡΡΠΎΠ²Π½Ρ sST2 (r = 0,35; p = 0,02). >Λ0,0001). Π Π³ΡΡΠΏΠΏΠ΅ ΠΠ(+) ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΎ Π·Π½Π°ΡΠΈΠΌΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΠΠ’ Π½Π° ΡΡΠΎΠ²Π΅Π½Ρ sST2 (F = 8,57; p = 0,005). Π’Π°ΠΊΠΆΠ΅ Π² Π³ΡΡΠΏΠΏΠ΅ ΠΠ(+) Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½ΠΎ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ ΠΠΠ-3, ΠΊΠΎΠ»Π»Π°Π³Π΅Π½Π° I ΠΈ III ΡΠΈΠΏΠΎΠ², PICP, TGF-Ξ², VEGFA; ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠ°Ρ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ sST2 ΠΈ ΠΊΠΎΠ»Π»Π°Π³Π΅Π½Π° III ΡΠΈΠΏΠ° (p = 0,01). ΠΡΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ speckle-tracking ΠΡ
ΠΎΠΠ Π² Π³ΡΡΠΏΠΏΠ΅ ΠΠ(+) Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ Π³ΡΡΠΏΠΏΠΎΠΉ ΠΠ(β) ΠΎΡΠΌΠ΅ΡΠ΅Π½ΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ ΡΠ°ΡΠΊΡΡΡΠΈΠ²Π°Π½ΠΈΡ ΠΠ Π΄ΠΎ β128,31 (β142,0; β118,0) Π³ΡΠ°Π΄ΡΡΠ°/Ρβ1 (p = 0,002) ΠΈ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ Π΄ΠΎ ΠΏΠΈΠΊΠ° ΡΠ°ΡΠΊΡΡΡΠΈΠ²Π°Π½ΠΈΡ ΠΠ Π΄ΠΎ 476,44 (510,0; 411,0) ΠΌΡΠ΅ΠΊ (p = 0,03). Π Π΄Π°Π½Π½ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ Π²ΡΡΠ²Π»Π΅Π½Π° Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΡΠΊΠΎΡΠΎΡΡΠΈ ΡΠ°ΡΠΊΡΡΡΠΈΠ²Π°Π½ΠΈΡ ΠΠ ΠΈ ΡΡΠΎΠ²Π½Ρ sST2 (r = 0,35; p = 0,02).ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡΡ, ΡΡΠΎ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΠ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΠ ΠΠ, Π½Π΅ Π²ΡΡΠ²Π»Π΅Π½Π½Π°Ρ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΡ
ΠΎΠΠ-ΠΊΡΠΈΡΠ΅ΡΠΈΠ΅Π² Π½Π°ΡΡΡΠ΅Π½ΠΈΡ Π΄ΠΈΠ°ΡΡΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΠ, Π° ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ ΡΡΠ²ΠΎΡΠΎΡΠΎΡΠ½ΠΎΠ³ΠΎ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠ° ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ sST2 Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ Π΄Π»Ρ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΠ Π½Π° ΡΠ°Π½Π½Π΅ΠΉ ΡΡΠ°Π΄ΠΈΠΈ
Organizational-administrative Features of the Implementation of Educational Services in the Two-level System of Training of Highly Qualified Personnel
It is education - the system of formation of the nation's intellectual capital and as one of the main areas of production innovation - creating the basic conditions for intensive growth of the markets on the basis of rapid updating of technologies and products. Education acts as the first link "education - research - innovation development of mass" of the innovation cycle. This educational sphere acts not only as a necessary element of reproduction of intellectual capital, but also as a dominant element of economic growth, which determines the stability of the external and internal competitive advantages of national economic systems. From the power of the national economy play an individual and a public intellectual capital, which implements the level of economic thinking of the nation, it is largely determined by economic strength, well-being, and the choice of its strategy and the subsequent trajectory of development in a global world order. In this connection, the Russian education there are urgent tasks related to the need to comply with the transformation of the education sector changes.
Keywords: economic growth, educational service, training, educational organization
JEL Classifications: G20, L00, O4
Expression of CD80 and HLA-DR molecules on blood monocytes in patients with pulmonary tuberculosis
We examined expression pattern of CD80 and HLA-DR pro-inflammatory molecules on the monocytes in patients with pulmonary tuberculosis (TB), depending on the clinical form of the disease and susceptibility of the pathogen to anti-tuberculosis drugs. The study involved forty-five patients with newly diagnosed pulmonary TB (25 men and 20 women aged 18 to 55 years, average age β 44.0Β±12.4 years). The control group included 15 healthy donors with similar socio-demographic characteristics as in TB patients. Venous blood was used as biomaterial for assays. Studies of the monocyte immunophenotype were carried out by flow cytometry of whole blood cells using Cytoflex flow cytometer (Beckman Coulter, USA) with specific monoclonal antibodies (eBioscience, USA). We determined the content of cells expressing surface markers of monocytes, i.e., CD14, CD45, CD80, and HLA-DR. The results of this study were evaluated using SPSS Statistics 17.0 standard software package and Microsoft Excel. In the course of the study, we have suggested a working hypothesis that the monocytes in TB patients, still being in circulation, can express activation markers during their migration to inflammation focus, especially CD80 and HLA-DR molecules. Analysis of the total CD14+ monocyte number showed its decrease in all forms and variants of clinical course of pulmonary tuberculosis compared with the control group. Assessment of pro-inflammatory markers expressed on CD14 positive monocytes, i.e., HLA-DR activation marker and CD80 co-stimulatory molecule, showed that the number of monocytes with HLA-DR expression in all TB patients was higher than in healthy donors. HLA- DR expression on CD14+ monocytes in the group of patients with infiltrative TB proved to be 15% higher than in patients with disseminated TB. The expression of CD80 on CD14+ monocytes in TB patients showed no differences between the groups and varied within the normal range. Hence, an imbalance within monocyte population in patients with pulmonary tuberculosis, regardless of its clinical form and drug sensitivity of the pathogen is developed, due to decrease in total number of CD14+ cells, along with increased relative number of monocytes expressing HLA-DR activation marker (pro-inflammatory phenotype). Meanwhile, expression of the CD80 co-stimulatory molecule on monocytes was within normal values
ΠΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΡ ΠΈ ΡΡΠ±ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΎΠ½Π½ΡΠΉ ΡΠΎΡΡΠ°Π² VEGFR2+ ΠΌΠΎΠ½ΠΎΡΠΈΡΠΎΠ² ΠΊΡΠΎΠ²ΠΈ ΠΈ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΠΏΡΠΈ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠ°ΡΠ΄ΠΈΠΎΠΌΠΈΠΎΠΏΠ°ΡΠΈΠΈ
Aim. To identify disturbances of differentiation and subpopulation composition of VEGFR2+ cells in the blood and bone marrow associated with the features of the cytokine profile in the blood and bone marrow in patients with coronary artery disease (CAD) with and without ischemic cardiomyopathy (ICM).Materials and methods. The study included 74 patients with Π‘AD with and without ICM (30 and 44 people, respectively) and 18 healthy donors. In all patients with Π‘AD, peripheral blood sampling was performed immediately before coronary artery bypass grafting, and bone marrow samples were taken during the surgery via a sternal incision. In the healthy donors, only peripheral blood sampling was performed. In the bone marrow and blood samples, the number of VEGFR2+ cells (CD14+VEGFR2+ cells) and their immunophenotypes CD14++CD16-VEGFR2+, CD14++CD16+VEGFR2+, CD14+CD16++VEGFR2+, and CD14+CD16-VEGFR2+ was determined by flow cytometry. Using enzyme-linked immunosorbent assay, the levels of VΠGF-Π, TNFΞ±, M-CSF, and IL-13, as well as the content of MCP-1 (only in the blood) and the M-CSF / IL-13 ratio (only in the bone marrow) were determined.Results. The content of CD14+VEGFR2+ cells in the blood of CAD patients with and without ICM was higher than normal values due to the greater number of CD14++CD16-VEGFR2+, CD14++CD16+VEGFR2+, and CD14+CD16++VEGFR2+. In the bone marrow of the patients with ICM, the content of CD14++CD16-VEGFR2+, CD14+CD16++VEGFR2+, and CD14+CD16-VEGFR2+ was lower than in patients with CAD without ICM, and the number of CD14++CD16+VEGFR2+ cells corresponded to that in the controls. Regardless of the presence of ICM in CAD, a high concentration of TNFΞ± and normal levels of VEGF-A and IL-13 were observed in the blood. In CAD without ICM, an excess of MCP-1 and deficiency of M-CSF were revealed in the blood. In the bone marrow, the levels of VEGF-A, TNFΞ±, M-CSF, and IL-13 were comparable between the groups of patients against the background of a decrease in the M-CSF / IL-13 ratio in the patients with ICM.Conclusion. Unlike CAD without cardiomyopathy, in ICM, no excess of VEGFR2+ cells and MCP-1 in the blood is observed, which hinders active migration of CD14+CD16++VEGFR2+ cells from the myeloid tissue, and a decrease in the M-CSF / IL-13 ratio in the bone marrow disrupts differentiation of other forms of VEGFR2+ cells, preventing vascular repair.Π¦Π΅Π»Ρ: ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ Π½Π°ΡΡΡΠ΅Π½ΠΈΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²ΠΊΠΈ ΠΈ ΡΡΠ±ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠ°Π²Π° VEGFR2+ ΠΌΠΎΠ½ΠΎΡΠΈΡΠΎΠ² Π² ΠΊΡΠΎΠ²ΠΈ ΠΈ ΠΊΠΎΡΡΠ½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅ Π²ΠΎ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΠΌΠΈ ΡΠΈΡΠΎΠΊΠΈΠ½ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ»Ρ ΠΊΡΠΎΠ²ΠΈ ΠΈ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΡΡ ΡΠ΅ΡΠ΄ΡΠ° (ΠΠΠ‘), ΡΡΡΠ°Π΄Π°ΡΡΠΈΡ
ΠΈ Π½Π΅ ΡΡΡΠ°Π΄Π°ΡΡΠΈΡ
ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠ°ΡΠ΄ΠΈΠΎΠΌΠΈΠΎΠΏΠ°ΡΠΈΠ΅ΠΉ (ΠΠΠΠ).ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΠΎΡΠ»ΠΈ 74 Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΠΠ‘, ΡΡΡΠ°Π΄Π°ΡΡΠΈΡ
ΠΈ Π½Π΅ ΡΡΡΠ°Π΄Π°ΡΡΠΈΡ
ΠΠΠΠ (30 ΠΈ 44 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ), ΠΈ 18 Π·Π΄ΠΎΡΠΎΠ²ΡΡ
Π΄ΠΎΠ½ΠΎΡΠΎΠ². Π£ Π²ΡΠ΅Ρ
Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΠΠ‘ Π·Π°Π±ΠΎΡ ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΡΠΎΠ²ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠ»ΡΡ Π½Π΅ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²Π΅Π½Π½ΠΎ ΠΏΠ΅ΡΠ΅Π΄ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ΅ΠΉ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ½ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ, Π° ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° β ΠΈΠ· ΡΠ°Π·ΡΠ΅Π·Π° Π³ΡΡΠ΄ΠΈΠ½Ρ Π²ΠΎ Π²ΡΠ΅ΠΌΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ. Π£ Π·Π΄ΠΎΡΠΎΠ²ΡΡ
Π΄ΠΎΠ½ΠΎΡΠΎΠ² Π·Π°Π±ΠΈΡΠ°Π»ΠΈ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΡΡ ΠΊΡΠΎΠ²Ρ.Β Π ΠΊΠΎΡΡΠ½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅ ΠΈ ΠΊΡΠΎΠ²ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΏΡΠΎΡΠΎΡΠ½ΠΎΠΉ ΡΠΈΡΠΎΡΠ»ΡΠΎΡΠΈΠΌΠ΅ΡΡΠΈΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΡ VEGFR2+ ΠΌΠΎΠ½ΠΎΡΠΈΡΠΎΠ² (CD14+VΠGFR2+ ΠΊΠ»Π΅ΡΠΎΠΊ) ΠΈ ΠΈΡ
ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅Π½ΠΎΡΠΈΠΏΠΎΠ² CD14++CD16-VEGFR2+, CD14++CD16+VEGFR2+, CD14+CD16++VEGFR2+, CD14+CD16-VEGFR2+, ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅ΡΠΌΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π»ΠΈ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ VΠGF-Π, TNFΞ±, M-CSF, IL-13, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ MCP-1 (ΡΠΎΠ»ΡΠΊΠΎ Π² ΠΊΡΠΎΠ²ΠΈ) ΠΈ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ M-CSF/IL-13 (ΡΠΎΠ»ΡΠΊΠΎ Π² ΠΊΠΎΡΡΠ½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅).Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ CD14+VEGFR2+ ΠΊΠ»Π΅ΡΠΎΠΊ Π² ΠΊΡΠΎΠ²ΠΈ Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΠΠ‘ Π±Π΅Π· ΠΊΠ°ΡΠ΄ΠΈΠΎΠΌΠΈΠΎΠΏΠ°ΡΠΈΠΈ ΠΈ Ρ ΠΠΠΠ Π±ΡΠ»ΠΎ Π²ΡΡΠ΅ Π½ΠΎΡΠΌΡ ΠΈΠ·-Π·Π° Π±ΠΎΠ»ΡΡΠ΅ΠΉ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ CD14++CD16-VEGFR2+, CD14++CD16+VEGFR2+ ΠΈ CD14+CD16++VEGFR2+ ΡΠΎΡΠΌ. Π ΠΊΠΎΡΡΠ½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅ Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΠΠΠ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ CD14++CD16-VEGFR2+, CD14+CD16++VEGFR2+ ΠΈ CD14+CD16-VEGFR2+ ΡΠΎΡΠΌ Π±ΡΠ»ΠΎ Π½ΠΈΠΆΠ΅, ΡΠ΅ΠΌ Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΠΠ‘ Π±Π΅Π· ΠΊΠ°ΡΠ΄ΠΈΠΎΠΌΠΈΠΎΠΏΠ°ΡΠΈΠΈ, Π° ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ CD14++CD16+VEGFR2+ ΠΊΠ»Π΅ΡΠΎΠΊ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΎΠ²Π°Π»ΠΎ ΠΈΡ
ΡΠΈΡΠ»Ρ Π² Π³ΡΡΠΏΠΏΠ΅ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ. ΠΠ½Π΅ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Π½Π°Π»ΠΈΡΠΈΡ ΠΠΠΠ ΠΏΡΠΈ ΠΠΠ‘ Π² ΠΊΡΠΎΠ²ΠΈ ΠΎΡΠΌΠ΅ΡΠ°Π»Π°ΡΡ Π²ΡΡΠΎΠΊΠ°Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ TNFΞ±, Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ VEGF-Π ΠΈ IL-13; ΠΏΡΠΈ ΠΠΠ‘ Π±Π΅Π· ΠΊΠ°ΡΠ΄ΠΈΠΎΠΌΠΈΠΎΠΏΠ°ΡΠΈΠΈ β ΠΈΠ·Π±ΡΡΠΎΠΊ ΠΠ‘Π -1 ΠΈ Π΄Π΅ΡΠΈΡΠΈΡ M-CSF Π² ΠΊΡΠΎΠ²ΠΈ. Π ΠΊΠΎΡΡΠ½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ VΠGF-Π, TNFΞ±, M-CSF, IL-13 Π±ΡΠ»Π° ΡΠΎΠΏΠΎΡΡΠ°Π²ΠΈΠΌΠΎΠΉ ΠΌΠ΅ΠΆΠ΄Ρ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ Π±ΠΎΠ»ΡΠ½ΡΡ
Π½Π° ΡΠΎΠ½Π΅ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ M-CSF/IL-13 Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΠΠΠ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ ΠΠΠ‘ Π±Π΅Π· ΠΊΠ°ΡΠ΄ΠΈΠΎΠΌΠΈΠΎΠΏΠ°ΡΠΈΠΈ ΠΏΡΠΈ ΠΠΠΠ Π½Π΅ ΡΠΎΡΠΌΠΈΡΡΠ΅ΡΡΡ ΠΈΠ·Π±ΡΡΠΎΠΊ VEGFR2+ ΠΌΠΎΠ½ΠΎΡΠΈΡΠΎΠ² ΠΈ ΠΠ‘Π -1 Π² ΠΊΡΠΎΠ²ΠΈ, ΡΡΠΎ Π·Π°ΡΡΡΠ΄Π½ΡΠ΅Ρ Π°ΠΊΡΠΈΠ²Π½ΡΡ ΠΌΠΈΠ³ΡΠ°ΡΠΈΡ CD14+CD16++VEGFR2+ ΠΊΠ»Π΅ΡΠΎΠΊ ΠΈΠ· ΠΌΠΈΠ΅Π»ΠΎΠΈΠ΄Π½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ, Π° ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ M-CSF/IL-13 Π² ΠΊΠΎΡΡΠ½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅ Π½Π°ΡΡΡΠ°Π΅Ρ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²ΠΊΡ ΠΎΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠΎΡΠΌ VEGFR2+ ΠΌΠΎΠ½ΠΎΡΠΈΡΠΎΠ², ΠΏΡΠ΅ΠΏΡΡΡΡΠ²ΡΡ ΡΠ΅ΠΏΠ°ΡΠ°ΡΠΈΠΈ ΡΠΎΡΡΠ΄ΠΎΠ²
Production of angiogenesis mediators and the structure of the vascular wall in the heart in ischemic cardiomyopathy
Background. In the pathogenesis of ischemic cardiomyopathy (ICMP), angiopoiesis remains unexplored.The aim. To describe the vasculature of the heart and the imbalance of angiogenesis mediators in the coronary circulation in association with the number of endothelial progenitor cells (EPC) and desquamated endothelial cells (DEC) in the blood of patients with coronary heart disease (CHD), suffering and not suffering from ICMP.Methods. Fifty-two patients with CHD (30 Β patients with ICMP, 22 Β patients without Β ICMP), 15 Β healthy donors were examined. The content of EPC (CD14+CD34+VEGFR2+) in the blood from the cubital vein and DEC (CD45βCD146+) in the blood from the coronary sinus and the cubital vein was determined by flow cytometry. The concentrations of VEGF-A (vascular endothelial growth factor A), PDGF (platelet-derived growth factor), and SDF-1 (stromal cell-derived factor 1) in blood plasma were recorded using immunofluorescence assay; the angiopoietin-2, MMP-9 (matrix metallopeptidase 9) were recorded using enzyme immunoassay. In myocardial biopsies the specific area of vessels and the expression of Ξ±SMA (smooth muscle alpha-actin) were determined by morphometric and immunohistochemical methods.Results. In the peripheral blood of patients with CHD, regardless of the presence of ICMP, the DEC content exceeded the physiological level, and the VEGF-A, PDGF, angiopoietin-2, and MMP-9 corresponded to the norm. In CHD patients without cardiomyopathy, there was an excess of SDF-1 and EPC in the blood from the cubital vein, and in ICMP, their physiological significance was noted. In the coronary blood flow in patients with CHD without cardiomyopathy, an increase in the concentration of PDGF was found, which was not determined in patients with ICMP, who had an increased content of DEC, angiopoietin-2 and MMP-9. The specific area of the vessels in the patients of the two groups was comparable; the expression of Ξ±SMA in ICMP was 6.2 times lower than in patients with CHD without cardiomyopathy.Conclusion. The development of ICMP is accompanied by impaired maturation of vessels in the myocardium, associated with the absence of a compensatory reaction of activation of cellular and humoral factors of angiogenesis
Morphology and Nanomechanics of Sensory Neurons Growth Cones following Peripheral Nerve Injury
A prior peripheral nerve injury in vivo, promotes a rapid elongated mode of sensory neurons neurite regrowth in vitro. This in vitro model of conditioned axotomy allows analysis of the cellular and molecular mechanisms leading to an improved neurite re-growth. Our differential interference contrast microscopy and immunocytochemistry results show that conditioned axotomy, induced by sciatic nerve injury, did not increase somatic size of adult lumbar sensory neurons from mice dorsal root ganglia sensory neurons but promoted the appearance of larger neurites and growth cones. Using atomic force microscopy on live neurons, we investigated whether membrane mechanical properties of growth cones of axotomized neurons were modified following sciatic nerve injury. Our data revealed that neurons having a regenerative growth were characterized by softer growth cones, compared to control neurons. The increase of the growth cone membrane elasticity suggests a modification in the ratio and the inner framework of the main structural proteins
- β¦