华西口腔医学杂志

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与口腔黏膜病相关的假丝酵母菌代谢组学鉴定的初步研究

李淼1  张晓敏2  司庆宗1   

  1. 1. 兰州大学口腔医学院•口腔医院口腔内科,兰州 730000;2.兰州大学第二医院口腔科,兰州 730030
  • 出版日期:2013-06-01 发布日期:2013-06-01
  • 通讯作者: 司庆宗,Tel:0931-8915051
  • 作者简介:李淼(1978—),女 ,江苏人,讲师,硕士
  • 基金资助:

    兰州大学中央高校基本科研业务费专项资金资助项目(lzujbky-2013-174,lzujbky-2009-141)

Preliminary study on the discrimination of oral mucosa pathogens Saccharomyces with metabonomics method

Li Miao1, Zhang Xiaomin2, Si Qingzong1.   

  1. 1. Dept. of Oral Medicine, School of Stomatology, Lanzhou University, Lan-zhou 730000, China; 2. Dept. of Stomatology, Lanzhou University Second Hospital, Lanzhou 730030, China
  • Online:2013-06-01 Published:2013-06-01

摘要:

目的  分析3种假丝酵母菌的磁共振代谢物图谱,探讨用代谢组学方法快速鉴定口腔黏膜致病菌的可行性。方法  在沙保培养基中分别接种白色假丝酵母菌ATCC 10231、热带假丝酵母菌ATCC 13803和光滑假丝酵母菌ATCC 15126,绘制生长曲线,选择3种菌生长稳定期的培养液检测其磁共振图谱,用主成分分析法进行数据分析。结果  主成分分析法显示:每两种细菌在主成分得分图中有组间分散、组内聚集的特点,可以区分不同的假丝酵母菌。结论  代谢组学分析技术是一种有良好发展前景的口腔细菌快速鉴定技术。

关键词: 代谢组学, 磁共振, 假丝酵母菌, 主成分分析

Abstract:

Objective  To evaluate the feasibility of identifying oral mucosa pathogenic bacteria by comparing the metabolic profiling of Saccharomyces and try to find a convenient and rapid way to discriminate oral micro-organisms. Methods  Saccharomyces albicans ATCC 10231 and Saccharomyces tropicalis ATCC 13803 and Saccharomyces gla-brata ATCC 15126 were respectively inoculated in sabouraud medium. The growth quantity were measured periodically by a spectrophotometer. And the growth curves of the inoculated bacteria were completed. The culture solutions in sta-tionary phases of the three bacteria were respectively tested with 1H-nuclear magnetic resonance(1H-NMR) spectros-copy. The data of 1H-NMR spectroscopy results were analyzed by principal components analysis(PCA). Results  The PCA showed respectively a obvious clustering phenomena and the points of every two groups’ data stayed separately. Therefore, the NMR-based metabonomics profiles could discriminate the three kinds of mucosa pathogenic bacteria. Conclusion    The metabonomics can be expected to be a kind of promising useful method in quick discrimination of oral pathogenic bacteria.

Key words: metabonomics, nuclear magnetic resonance, Saccharomyces, principal components analysis