Suppr超能文献

甲苯磺酸溴苄铵与大鼠心脏毒蕈碱受体的相互作用。与抗心律失常作用可能的药理学关联。

Interaction of bretylium tosylate with rat cardiac muscarinic receptors. Possible pharmacological relevance to antiarrhythmic action.

作者信息

Schreiber G, Friedman M, Sokolovsky M

出版信息

Circ Res. 1984 Nov;55(5):653-9. doi: 10.1161/01.res.55.5.653.

Abstract

The interaction of the antifibrillatory antiarrhythmic drug, bretylium tosylate, with the muscarinic receptor in tissue homogenates from regions of rat brain and heart was investigated. Competition-binding experiments were carried out with the highly specific tritiated antagonist N-methyl-4-piperidyl benzilate. Bretylium tosylate competitively displaced the labeled antagonist from the muscarinic receptor. The binding of the drug to the two brain preparations was found to be best fitted by a one-site model in each case. On the other hand, in the case of both heart preparations, a two-site model yielded a significantly better fit for the binding data than that given by a single-site model. The low affinity-binding constants in the atrium and the ventricle were similar (approximately 10 microM) to those in the brain regions examined, namely, the cortex and the medullapons. Sites with relatively higher affinity for the drug were detected in the heart only, with equilibrium-binding constants of 0.24 +/- 0.12 microM and 0.97 +/- 0.27 microM for the atrium and the ventricle, respectively. The drug also exerted anti-acetylcholine activity (K1 = 14 +/- 2 microM) measured physiologically in the guinea pig atrium, which correlated well with the concentration of the drug observed to be efficacious clinically (approximately 10 microM).

摘要

研究了抗纤颤抗心律失常药物甲苯磺酸溴苄铵与大鼠脑和心脏组织匀浆中毒蕈碱受体的相互作用。使用高特异性的氚标记拮抗剂N-甲基-4-哌啶基苯甲酸苄酯进行竞争结合实验。甲苯磺酸溴苄铵竞争性地将标记的拮抗剂从毒蕈碱受体上置换下来。发现该药物与两种脑匀浆的结合在每种情况下都最适合用单点模型拟合。另一方面,对于两种心脏匀浆,两点模型对结合数据的拟合明显优于单点模型。心房和心室中的低亲和力结合常数与所检测的脑区(即皮层和延髓)中的相似(约10μM)。仅在心脏中检测到对该药物具有相对较高亲和力的位点,心房和心室的平衡结合常数分别为0.24±0.12μM和0.97±0.27μM。该药物在豚鼠心房中还表现出生理学上测量的抗乙酰胆碱活性(K1 = 14±2μM),这与临床上观察到的有效药物浓度(约10μM)密切相关。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验