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Development of diagnostic methods for acute myocordial infarction using monoclonal antibody

单克隆抗体急性心肌梗死诊断方法的开发

基本信息

批准号：
61870035
负责人：
YAZAKI Yoshio
金额：
$ 7.55万
依托单位：
University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research
财政年份：
1986
资助国家：
日本
起止时间：
1986 至 1987
项目状态：
已结题

项目摘要

Estimating the size and location of infarct is important in predicting the prognosis and determining the therapeutic strategy for patients with acute myocardial infarction. Monoclonal antibodies are Known to be highly specific and uniform and can be produced in quantity. Based on these characteristics, we developed a new diagnostic method for myocardial infarction which has excellent specificity and quantitativeness. Noting that cardiac myosin is a major structural portein specific to the myocardium and especially its subunits, light chain and hevay chain, have different properties, we prepared corresponding monoclonal antibodies. Utilizing the fact that these antibodies specific for heavy chain accumulate bound to the myofibril of the infarcted myocardium, we demonstrated through experiments that highly specific and clear image of myocardial infarction can be obtainedby intravenous administration of isotope labelled monoclonal antibodies. We also established a very sensitive microassay using antibodies which specifically bind the light chains liberated from the myocyte into serumfollowin ischemic events, and developed a method for biochemically diagnosing myocaridial infarction. Now that we can obtain accurate information regarding the size of the infarct which would be otherwise impossible by the conventional method, a wide range of clinical application is expected for this method.

估计心肌梗死的大小和部位对于预测急性心肌梗死患者的预后和确定治疗策略具有重要意义。众所周知，单抗具有高度的特异性和一致性，并且可以大量生产。基于这些特点，我们开发了一种新的心肌梗死诊断方法，该方法具有良好的特异性和定量化。鉴于心肌肌球蛋白是一种主要的心肌特异性结构蛋白，特别是其轻链和轻链亚基具有不同的性质，我们制备了相应的单抗。利用这些针对重链的抗体聚集在梗死心肌的肌原纤维上这一事实，我们通过实验证明，静脉注射同位素标记的单抗可以获得高度特异和清晰的心肌梗死图像。我们还建立了一种非常灵敏的微量检测方法，利用抗体将从心肌细胞释放出来的轻链特异性地结合到血清跟随素缺血事件中，并开发了一种生化诊断心肌梗死的方法。现在我们可以获得常规方法不可能获得的准确的脑梗塞面积信息，这种方法有望在临床上得到广泛的应用。