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Rev. bras. cir. cardiovasc ; 38(2): 289-299, 2023. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1431507

ABSTRACT

ABSTRACT Introduction: Remote ischemic preconditioning (RIPC) is a new noninvasive myocardial protection strategy that uses blood pressure cuf inflation to simulate transient non-fatal ischemia to protect the myocardium and reduce ischemia-reperfusion injury. Sulfonylureas may mask the effects of RIPC due to their cardioprotec-tive effect. This meta-analysis aimed to evaluate whether RIPC, in the absence of sulfonylureas, reduces troponin release in patients undergoing cardiac surgery. Methods: We conducted a meta-analysis of randomized controlled clinical trials to determine whether RIPC can reduce postoperative troponin release in cardiac surgery patients undergoing cardiopulmonary bypass without treatment with sulfonylureas. The data were normalized to equivalent units prior to the analysis. A random-effects model was used to provide more conservative estimate of the effects in the presence of known or unknown heterogeneity. Results: Six studies with a total of 570 participants were included. The analysis showed that troponin release was lower in the RIPC group than in the control group at six hours (test of standardized mean differences = 0, Z=3.64, P<0.001) and 48 hours (Z=2.72, P=0.007) postoperatively. When the mean of cross-clamping time was > 60 minutes, RIPC reduced troponin release at six hours (Z=2.84, P=0.005), 24 hours (Z=2.64, P=0.008), and 48 hours (Z=2.87, P=0.004) postoperatively. Conclusion: In cardiac surgery patients who are not taking sulfonylureas, RIPC can reduce troponin release at six and 48 hours postoperatively; hence, RIPC may serve significant benefits in certain cardiac surgery patients.

2.
Chinese Journal of Pharmacology and Toxicology ; (6): 964-964, 2017.
Article in Chinese | WPRIM | ID: wpr-666597

ABSTRACT

OBJECTIVE To find a promising candidate for anti- Alzheimer disease (AD) with multiple targets in multiple pathways. METHODS A series of classifiers were constructed for predicting the active compounds against 51 key targets toward Alzheimer disease (AD) using the multitarget-quantitative structure- activity relationships (mt- QSAR) method. While drug screening assays were established to evaluate the predicted active molecules. In addition, various cellular models and animal models related with AD were set up to further study the effects of the active compounds. RESULTS A system for the discovery of Multitarget-Directed Ligands against AD was set up and applied, the predicted active compounds were validated by the drug screening assays, and several active compounds with multiple targets were discovered. Among them, DL0410 exerted high activity on H3R, α7nAChR, AChE and ERα, also displayed the most significant effect in improving the ability of memory and learning in several AD animal models. The study on its action mechanisms showed that it's effect may partially through increasing neurotransmitter, inhibiting oxidative emergency, inhibiting the expression of APP, and promoting long- term potentiation. Besides, DL0410 is of more safety than the first- line clinical medicines. CONCLUSION DL0410 is a promising candidate for further development for AD treatment.

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