胆汁酸代谢轮廓的研究进展及其应用

雷凯, 张程亮, 刘雅楠, 任秀华, 刘东

中国药学杂志 ›› 2018, Vol. 53 ›› Issue (2) : 92-97.

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中国药学杂志 ›› 2018, Vol. 53 ›› Issue (2) : 92-97. DOI: 10.11669/cpj.2018.02.003
综 述

胆汁酸代谢轮廓的研究进展及其应用

  • 雷凯, 张程亮, 刘雅楠, 任秀华*, 刘东*
作者信息 +

Research Progress and Application of Metabolite Profiling of Bile Acids

  • LEI Kai, ZHANG Cheng-liang, LIU Ya-nan, REN Xiu-hua*, LIU Dong*
Author information +
文章历史 +

摘要

胆汁酸代谢轮廓(the metabolic profile of bile acid,MPBA)是反映生物体内胆汁酸种类、含量、变化的指标。通过各种检测技术测定生物组织样本中的胆汁酸(bile acids, BAs)可构建出相应的MPBA,这在肝胆疾病、胃肠道疾病、代谢性疾病以及神经系统等疾病中均有一定应用。笔者回顾性总结了BAs代谢过程,分析不同组织中BAs的检测技术,并综述MPBA在相关疾病诊断与治疗中的应用。MPBA在疾病诊断以及疗效评价等方面具有一定的优势,值得进一步深入研究。

Abstract

The metabolic profile of bile acids (MPBA) is an indicator that reflecting the varieties, contents and variations of biological bile acids (BAs). Many kinds of detection techniques can be used to detect different kinds of BAs in different tissues. By using various detection techniques, the MPBA has been applied in various diseases such as hepatobiliary diseases, gastrointestinal diseases, metabolic diseases and nervous system diseases and so on. In this paper, we reviewed the process of BAs synthesis and metabolism and analyzed the detection techniques of BAs in different tissues and the corresponding MPBA. At the same time, we summarized the application of BAs metabolism in related diseases. The MPBA provides a reference for the diagnosis and treatment of some diseases and it has certain advantages in disease diagnosis and curative effects evaluation, which worth further study.

关键词

胆汁酸 / 代谢轮廓 / 肝胆疾病 / 代谢性疾病 / 胃肠道疾病 / 神经系统疾病

Key words

bile acid / metabolic profiling / hepatic and gall disease / metabolic disease / gastrointestinal disease / nervous system disease

引用本文

导出引用
雷凯, 张程亮, 刘雅楠, 任秀华, 刘东. 胆汁酸代谢轮廓的研究进展及其应用[J]. 中国药学杂志, 2018, 53(2): 92-97 https://doi.org/10.11669/cpj.2018.02.003
LEI Kai, ZHANG Cheng-liang, LIU Ya-nan, REN Xiu-hua, LIU Dong. Research Progress and Application of Metabolite Profiling of Bile Acids[J]. Chinese Pharmaceutical Journal, 2018, 53(2): 92-97 https://doi.org/10.11669/cpj.2018.02.003
中图分类号: Q953   

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基金

国家自然科学基金资助项目(81573788, 81503225)
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