7 research outputs found

    Π Π°Π·Π»ΠΈΡ‡Π°ΡŽΡ‚ΡΡ Π»ΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ†ΠΈΡ‚ΠΎΠ² ΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ воспалСния Π² Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с хроничСской сСрдСчной Π½Π΅Π΄ΠΎΡΡ‚Π°Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒΡŽ Π² соотвСтствии с Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ классами NYHA?

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    It is stated in the literature that thrombosis in the chronic heart failure (CHF) patients may be caused by interaction of inflammation and platelets. The incidence of venous thromboembolism in heart failure patients is found to be the highest in the patients classified as NYHA IV. We aimed to test the hypothesis that prothrombotic state depends on inflammation. We have compared the C-reactive protein (CRP), fibrinogen concentration, platelet count (PLT), mean platelet volume (MPV) and platelet aggregation in CHF patients’ groups according to New York Heart Association (NYHA). 203 patients with CHF with reduced ejection fraction (systolic heart failure classes Iβ€’IV according to NYHA) were included in the study. There were no statistically significant differences in fibrinogen concentration, CRP, PLT and platelet aggregation between the groups according to NYHA. The MPV was statistically significant higher in NYHA IV group than in NYHA III, NYHA II and NYHA I groups (10.86 Β± 1.14 and 9.78 Β± 1.21 and 9.65 Β± 1.22 and 9.21 Β± 0.59 respectively, p = 0.006). There was a weak correlation between CRP and PLT (r = 0.293, p = 0.010), and between MPV and fibrinogen concentration (r=0.205, p=0.012). There was a moderate correlation between MPV and NYHA (r = 0.361, p < 0.001) and between fibrinogen concentration and CRP (r = 0.381, p < 0.001). MPV rising in the patients’ groups and correlation between MPV and NYHA class, and plasma fibrinogen concentration, correlation between PLT and CRP, correlation between CRP and NT-proBNP concentration confirm, that low inflammation can take place in the MPV rising.По Π΄Π°Π½Π½Ρ‹ΠΌ ряда Π°Π²Ρ‚ΠΎΡ€ΠΎΠ², Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ· Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с хроничСской сСрдСчной Π½Π΅Π΄ΠΎΡΡ‚Π°Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒΡŽ (Π₯БН) ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ обусловлСн взаимодСйствиСм ΠΌΠ΅ΠΆΠ΄Ρƒ воспалСниСм ΠΈ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ†ΠΈΡ‚Π°ΠΌΠΈ. УстановлСно, Ρ‡Ρ‚ΠΎ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с сСрдСчной Π½Π΅Π΄ΠΎΡΡ‚Π°Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒΡŽ IV класса NYHA вСнозная тромбоэмболия встрСчаСтся особСнно часто. Π§Ρ‚ΠΎΠ±Ρ‹ ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΈΡ‚ΡŒ Π³ΠΈΠΏΠΎΡ‚Π΅Π·Ρƒ ΠΎ Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ протромботичСскоС состояниС зависит ΠΎΡ‚ уровня воспалСния, ΠΌΡ‹ сравнили ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ Π‘-Ρ€Π΅Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ Π±Π΅Π»ΠΊΠ° (CRP) ΠΈ Ρ„ΠΈΠ±Ρ€ΠΈΠ½ΠΎΠ³Π΅Π½Π°, Π° Ρ‚Π°ΠΊ ΠΆΠ΅ количСство Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ†ΠΈΡ‚ΠΎΠ² (PLT), срСдний объСм Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ†ΠΈΡ‚ΠΎΠ² (MPV) ΠΈ Π°Π³Ρ€Π΅Π³Π°Ρ†ΠΈΡŽ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ†ΠΈΡ‚ΠΎΠ² Π² Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π₯БН Π² соотвСтствии с классификациСй Нью- Йоркской кардиологичСской ассоциации (NYHA). Π’ исслСдованиС Π±Ρ‹Π»ΠΈ Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 203 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° с Π₯БН со сниТСнной Ρ„Ρ€Π°ΠΊΡ†ΠΈΠ΅ΠΉ выброса (классы систоличСской сСрдСчной нСдостаточности I β€’ IV ΠΏΠΎ NYHA). ΠœΡ‹ Π½Π΅ выявили статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΡ‹Π΅ различия Π² ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ Ρ„ΠΈΠ±Ρ€ΠΈΠ½ΠΎΠ³Π΅Π½Π°, CRP, PLT ΠΈ Π°Π³Ρ€Π΅Π³Π°Ρ†ΠΈΠΈ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ†ΠΈΡ‚ΠΎΠ² ΠΌΠ΅ΠΆΠ΄Ρƒ Π³Ρ€ΡƒΠΏΠΏΠ°ΠΌΠΈ Π² соотвСтствии с NYHA. MPV Π±Ρ‹Π» статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Π²Ρ‹ΡˆΠ΅ Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ NYHA IV, ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с Π³Ρ€ΡƒΠΏΠΏΠ°ΠΌΠΈ NYHA III, NYHA II ΠΈ NYHA I (10.86 Β± 1.14 ΠΈ 9.78 Β± 1.21 ΠΈ 9.65 Β± 1.22 ΠΈ 9.21 Β± 0.59 соотвСтствСнно, p = 0.006). Блабая коррСляция ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Π° ΠΌΠ΅ΠΆΠ΄Ρƒ CRP ΠΈ PLT (r = 0.293, p = 0.010) ΠΈ ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠ΅ΠΉ MPV ΠΈ Ρ„ΠΈΠ±Ρ€ΠΈΠ½ΠΎΠ³Π΅Π½Π° (r = 0.205, p = 0.012). Π’Π°ΠΊΠΆΠ΅ наблюдалась умСрСнная коррСляция ΠΌΠ΅ΠΆΠ΄Ρƒ MPV ΠΈ классами NYHA (r = 0.361, Ρ€ < 0.001) ΠΈ ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠ΅ΠΉ Ρ„ΠΈΠ±Ρ€ΠΈΠ½ΠΎΠ³Π΅Π½Π° ΠΈ CRP (r = 0.381, Ρ€ < 0.001). ΠŸΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ MPV Π² Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² ΠΈ коррСляция ΠΌΠ΅ΠΆΠ΄Ρƒ MPV ΠΈ классами NYHA, Π° Ρ‚Π°ΠΊΠΆΠ΅ концСнтрация Ρ„ΠΈΠ±Ρ€ΠΈΠ½ΠΎΠ³Π΅Π½Π° Π² ΠΏΠ»Π°Π·ΠΌΠ΅, коррСляция ΠΌΠ΅ΠΆΠ΄Ρƒ PLT ΠΈ CRP, Π° Ρ‚Π°ΠΊΠΆΠ΅ коррСляция ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠ΅ΠΉ CRP ΠΈ NT‑proBNP ΡΠ²ΠΈΠ΄Π΅Ρ‚Π΅Π»ΡŒΡΡ‚Π²ΡƒΡŽΡ‚ Π² ΠΏΠΎΠ»ΡŒΠ·Ρƒ Ρ‚ΠΎΠ³ΠΎ, Ρ‡Ρ‚ΠΎ, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΈ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠΈ MPV ΠΌΠΎΠΆΠ΅Ρ‚ ΠΈΠΌΠ΅Ρ‚ΡŒ мСсто слабоС воспалСниС

    The Effect of Oxidant Hypochlorous Acid on Platelet Aggregation and Dityrosine Concentration in Chronic Heart Failure Patients and Healthy Controls

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    Background and objective: One of the reasons for thrombosis in chronic heart failure (CHF) might be reactive forms of oxygen activating platelets. The aim of this study was to evaluate the effect of oxidant hypochlorous acid (HOCl) on platelet aggregation and dityrosine concentration in CHF patients and healthy controls. Materials and Methods: CHF patients (n = 67) and healthy (n = 31) were investigated. Heart echoscopy, 6-min walking test, complete blood count, platelet aggregation, and dityrosine concentration were performed. Platelet aggregation and dityrosine concentration were measured in plasma samples after incubation with different HOCl concentrations (0.15, 0.0778, and 0.0389 mmol/L). Results: Platelet aggregation without oxidant was lower (p = 0.049) in CHF patients than in controls. The spontaneous platelet aggregation with oxidant added was higher in CHF patients (p = 0.004). Dityrosine concentration was also higher (p = 0.032) in CHF patients. Platelet aggregation was the highest in samples with the highest oxidant concentration in both healthy controls (p = 0.0006) and in CHF patients (p = 0.036). Platelet aggregation was higher in NYHA III group in comparison to NYHA II group (p = 0.0014). Concentration of dityrosine was significantly higher in CHF samples (p = 0.032). The highest concentration of dityrosine was obtained in NYHA IV group samples (p < 0.05). Intensity of platelet aggregation, analyzed with ADP, was correlated with LV EF (r = 0.42, p = 0.007). Dityrosine concentration was correlated with NYHA functional class (r = 0.27, p < 0.05). Conclusions: The increase in platelet aggregation in CHF and healthy controls shows the oxidant effect on platelets. The increase in dityrosine concentration in higher NYHA functional classes shows a higher oxidative stress in patients with worse condition

    The Effect of PAI-1 4G/5G Polymorphism and Clinical Factors on Coronary Artery Occlusion in Myocardial Infarction

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    Objective. Data on the impact of PAI-1-675 4G/5G genotype for fibrinolysis during myocardial infarction are inconsistent. The aim of our study was to evaluate the association of clinical and genetic (PAI-1-675 4G/5G polymorphism) factors with coronary artery occlusion in patients with myocardial infarction. Materials and Methods. PAI-1-675 4G/5G detection was achieved by using Sanger sequencing in a sample of patients hospitalized for stent implantation due to myocardial infarction. We categorized the patients into two groups: patients with coronary artery occlusion and patients without coronary artery occlusion according to angiographic evaluation. Results. We identified n=122 (32.4%) 4G/4G, n=186 (49.5%) 4G/5G, and n=68 (18.1%) 5G/5G PAI-1 genotype carriers. Univariate and multivariate analysis showed that only the 4G/5G genotype was associated with coronary artery occlusion (OR: 1.656 and 95% CI: 1.009–2.718, p=0.046). Conclusions. Our results showed that carriers of PAI-1 4G/5G genotype with myocardial infarction have increased odds of coronary artery occlusion more than 1.6 times in comparison to the carriers of homozygous genotypes

    Genetical Signatureβ€”An Example of a Personalized Skin Aging Investigation with Possible Implementation in Clinical Practice

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    We conducted a research study to create the groundwork for personalized solutions within a skin aging segment. This test utilizes genetic and general laboratory data to predict individual susceptibility to weak skin characteristics, leveraging the research on genetic polymorphisms related to skin functional properties. A cross-sectional study was conducted in a collaboration between the Private Clinic Medicina Practica Laboratory (Vilnius, Lithuania) and the Public Institution Lithuanian University of Health Sciences (Kaunas, Lithuania). A total of 370 participants agreed to participate in the project. The median age of the respondents was 40, with a range of 19 to 74 years. After the literature search, we selected 15 polymorphisms of the genes related to skin aging, which were subsequently categorized in terms of different skin functions: SOD2 (rs4880), GPX1 (rs1050450), NQO1 (rs1800566), CAT (rs1001179), TYR (rs1126809), SLC45A2 (rs26722), SLC45A2 (rs16891982), MMP1 (rs1799750), ELN (rs7787362), COL1A1 (rs1800012), AHR (rs2066853), IL6 (rs1800795), IL1Beta (rs1143634), TNF-Ξ± (rs1800629), and AQP3 (rs17553719). RT genotyping, blood count, and immunochemistry results were analyzed using statistical methods. The obtained results show significant associations between genotyping models and routine blood screens. These findings demonstrate the personalized medicine approach for the aging segment and further add to the growing literature. Further investigation is warranted to fully understand the complex interplay between genetic factors, environmental influences, and skin aging
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