Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
1.
Electron. j. biotechnol ; 45: 46-52, May 15, 2020. tab, graf, ilus
Article in English | LILACS | ID: biblio-1177424

ABSTRACT

BACKGROUND: The present study analyzed the synergistic protective effect of ß-alanine and taurine against myocardial ischemia/reperfusion. Myocardial infarct size, lipid peroxidation, and levels of glutathione peroxidase (Gpx), superoxide dismutase (SOD), reduced glutathione (GSH), catalase, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), reactive oxygen species (ROS), apoptosis, and the mRNA and protein expression of Janus kinase 2 (JAK2) and signal transducer and activator 3 of transcription (STAT3) were determined. The molecular docking was carried out by using AutoDock 4.2.1. RESULTS: Combined treatment with ß-alanine and taurine reduced myocardial infarct size, lipid peroxidation, inflammatory marker, ROS levels, and apoptosis and increased Gpx, SOD activity, GSH, and catalase activity. Furthermore, combined treatment significantly reduced JAK2 and STAT3 mRNA and protein expression compared with the control. The small molecule was docked over the SH2 domain of a STAT3, and binding mode was determined to investigate the inhibitory potential of ß-alanine and taurine. ß-Alanine bound to SH2 domain with ΔG of -7.34 kcal/mol and KI of 1.91 µM. Taurine bound to SH2 domain with ΔG of -7.38 kcal/mol and KI of 1.95 µM. CONCLUSION: Taken together, these results suggest that the combined supplementation of ß-alanine and taurine should be further investigated as an effective therapeutic approach in achieving cardioprotection in myocardial ischemia/reperfusion.


Subject(s)
Animals , Male , Rats , Taurine/therapeutic use , Cardiotonic Agents/therapeutic use , Reperfusion Injury/drug therapy , beta-Alanine/therapeutic use , Myocardial Ischemia/drug therapy , Superoxide Dismutase , Immunohistochemistry , Lipid Peroxidation , Reactive Oxygen Species , Rats, Wistar , Reverse Transcriptase Polymerase Chain Reaction , Disease Models, Animal , Janus Kinase 2 , Molecular Docking Simulation , Glutathione Peroxidase , Heart Diseases/drug therapy , Inflammation
2.
Arq. bras. cardiol ; 102(5): 481-488, 10/06/2014. tab
Article in Portuguese | LILACS | ID: lil-711088

ABSTRACT

Fundamentos: O nível de metilação global do ADN de leucócitos no sangue tem sido associado ao risco de doença arterial coronariana (DAC), com resultados inconsistentes em diferentes populações. Faltam dados semelhantes da população chinesa, onde diferentes fatores genéticos, de estilo de vida e ambientais podem afetar a metilação do ADN e sua relação com o risco de DCC. Objetivos: Analisar se a metilação global está associada ao risco de doença coronariana na população chinesa. Métodos: Foram incluídos um total de 334 casos de DCC e 788 controles saudáveis. A metilação global do ADN de leucócitos de sangue foi estimada por meio da análise das repetições do LINE-1 usando pirosequenciamento de bissulfito. Resultados: Em uma análise inicial restrita aos controles o nível do LINE-1 diminui significativamente com a idade avançada, colesterol total elevado, e diagnóstico de diabetes. Na análise de caso-controle, a redução da metilação do LINE-1 foi associada ao aumento do risco de DCC, tendo a análise por quartil revelado uma odds ratio (IC 95%) de 0,9 (0,6-1,4), 1,9 (1,3-2,9) e 2,3 (1,6 3.5) para o terceiro, segundo e primeiro (o mais baixo) quartil (P da tendência < 0,001), respectivamente, em comparação com o quarto (o mais alto) quartil. A metilação inferior (< mediana) do LINE-1 esteve associada a 2,2 vezes (IC 95% = 1,7-3,0) o aumento de risco de doença coronariana. As estimativas de risco de DCC menores relacionadas com o LINE-1 tenderam a ser mais fortes entre os indivíduos com maior tercil de homocisteína (P interação = 0,042) e naqueles com diagnóstico de hipertensão arterial (P interação = 0,012). Conclusão: A hipometilação do LINE-1 está ...


Background: Global methylation level in blood leukocyte DNA has been associated with the risk of coronary heart disease (CHD), with inconsistent results in various populations. Similar data are lacking in Chinese population where different genetic, lifestyle and environmental factors may affect DNA methylation and its risk relationship with CHD. Objectives: To examine whether global methylation is associated with the risk of CHD in Chinese population. Methods: A total of 334 cases with CHD and 788 healthy controls were included. Global methylation in blood leukocyte DNA was estimated by analyzing LINE-1 repeats using bisulfite pyrosequencing. Results: In an initial analysis restricted to control subjects, LINE-1 level reduced significantly with aging, elevated total cholesterol, and diagnosis of diabetes. In the case-control analysis, reduced LINE-1 methylation was associated with increased risk of CHD; analysis by quartile revealed odds ratios (95%CI) of 0.9 (0.6-1.4), 1.9 (1.3-2.9) and 2.3 (1.6-3.5) for the third, second and first (lowest) quartile (Ptrend < 0.001), respectively, compared to the fourth (highest) quartile. Lower (<median) LINE-1 methylation was associated with a 2.2-fold (95%CI = 1.7-3.0) increased risk of CHD. The lower LINE-1-related CHD risk estimates tended to be stronger among subjects with the highest tertile of homocysteine (Pinteraction = 0.042) and those with diagnosis of hypertension (Pinteraction = 0.012). Conclusion: LINE-1 hypomethylation is associated with the risk of CHD in Chinese population. Potential CHD risk factors such as older age, elevated total cholesterol, and diagnosis of diabetes may have impact on global DNA methylation, whereby exerting their effect on CHD risk. .


Subject(s)
Aged , Humans , Middle Aged , Asian People/genetics , Coronary Disease/genetics , DNA Methylation/genetics , Long Interspersed Nucleotide Elements/genetics , Age Factors , Body Mass Index , Case-Control Studies , Chi-Square Distribution , China , Coronary Disease/ethnology , Diabetes Complications , Hypertension/complications , Leukocytes , Polymerase Chain Reaction , Reference Values , Risk Assessment , Risk Factors , Sex Factors
SELECTION OF CITATIONS
SEARCH DETAIL