Literature DB >> 6119212

Limitation of myocardial infarct size by atenolol, nadolol and propranolol in dogs.

W E Burmeister, R D Reynolds, R J Lee.   

Abstract

The importance of cardioselectivity and membrane depressant activity in the ability of beta-adrenergic antagonists to limit myocardial infarct size was assessed in the dog. Infarction was produced by a 60 min occlusion of the left circumflex coronary artery followed by reperfusion into a critical stenosis. Infarct size was significantly reduced by atenolol, nadolol and propranolol. Thus, limitations of infarct size by beta-adrenergic antagonists occur with agents which possess or lack cardiac selectivity or membrane depressant activity.

Entities:  

Mesh:

Substances:

Year:  1981        PMID: 6119212     DOI: 10.1016/0014-2999(81)90338-1

Source DB:  PubMed          Journal:  Eur J Pharmacol        ISSN: 0014-2999            Impact factor:   4.432


  6 in total

1.  Comparison of the effects of acute and chronic beta-blockade on infarct size in the dog after circumflex occlusion.

Authors:  D E Euler; P J Hughes; P J Scanlon
Journal:  Cardiovasc Drugs Ther       Date:  1988-07       Impact factor: 3.727

2.  Nipradilol, a new beta-adrenergic blocker, reduces left ventricular remodeling following myocardial infarction in spontaneously hypertensive rats.

Authors:  H Sonoki; M Nakamura; A Takeshita
Journal:  Heart Vessels       Date:  1997       Impact factor: 2.037

3.  The effect of chemical sympathectomy on mitochondrial function in the ischaemic and reperfused myocardium.

Authors:  W G Nayler; E M Scott
Journal:  Br J Pharmacol       Date:  1982-12       Impact factor: 8.739

4.  Reduced infarct size in the rabbit heart in vivo by ethylisopropyl-amiloride. A role for Na+/H+ exchange.

Authors:  E Bugge; J Munch-Ellingsen; K Ytrehus
Journal:  Basic Res Cardiol       Date:  1996 May-Jun       Impact factor: 17.165

5.  The effect of modification of sympathetic activity on responses to ligation of a coronary artery in the conscious rat.

Authors:  J H Botting; K M Johnston; B A Macleod; M J Walker
Journal:  Br J Pharmacol       Date:  1983-05       Impact factor: 8.739

6.  DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels.

Authors:  Cheng Yan; Guihua Duan; Yi Pan; Fang-Xiang Wu; Jianxin Wang
Journal:  BMC Bioinformatics       Date:  2019-12-24       Impact factor: 3.169

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.