单胺氧化酶抑制药物体外筛选模型的建立
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Construction of the screening model for monoamine oxidase inhibitors in vitro
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目的:构建一种能用于治疗神经退行性变疾病单胺氧化酶(monoamine oxidase,MAO)抑制药物的体外筛选模型。方法:采用紫外分光光度方法,以苄胺或5-羟色胺(5-hydroxytryptamine,5-HT)分别作为MAO-B或MAO-A的反应底物,测定其活性,并对MAO浓度、底物浓度、缓冲液浓度、pH值、反应时间和温度等进行优化。结果:研究确定的模型反应体系条件为:在温度37 ℃、酶预孵育时间20 min和反应时间60 min下,测定MAO-B活性最佳条件为100 mmol/L磷酸钾缓冲液(pH 7.6),MAO和底物苄胺的终浓度分别为0.15 mg/ml和2.00 mmol/L;测定MAO-A活性最佳条件为100 mmol/L磷酸钾缓冲液(pH 7.4),MAO和底物5-HT的终浓度分别为0.40 mg/ml和5.00 mmol/L。结论:建立了一种MAO抑制药物体外筛选的模型,该模型具有成本低、操作简便等特点,适合于大规模筛选MAO-B和MAO-A的抑制药物。

    Abstract:

    Objective:To construct a screening model for monoamine oxidase(MAO) inhibitors in the treatment of neurodegenerative diseases. Methods:Benzylamine and 5-hydroxytryptamine(5-HT) were used as MAO-B and reaction substrates and their activities were measured by UV spectrophotometry,respectively. MAO concentration,substrate concentration,phosphate buffer concentration and pH,reaction time and temperature were optimized. Results:The optimized reaction system conditions were obtained as follows:under the conditions of enzyme pre-incubation time of 20 min and reaction time of 60 min at the temperature of 37 ℃,optimum con-dition for determination of MAO-B activity was 100 mmol/L phosphate buffer(pH 7.6) and 0.15 mg/ml MAO and 2.00 mmol/L ben-zylamine,optimum condition for determination of MAO-A activity was 100 mmol/L phosphate buffer(pH 7.4) and 0.40 mg/ml MAO and 5.00 mmol/L 5-HT. Conclusions:A screening model for monoamine oxidase inhibitors in vitro is constructed successfully. Due to its low cost and simple operation,it is suitable for large-scale screening MAO-B and MAO-A inhibitors.

    参考文献
    相似文献
    引证文献
引用本文

张万萍,郭红梅,李文军,朱必敏,鲁振浩,祁俊生,余 瑜.单胺氧化酶抑制药物体外筛选模型的建立[J].重庆医科大学学报,2013,(6):570-573

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2013-09-05
  • 出版日期:
文章二维码