华西口腔医学杂志

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口腔常见放线菌代谢组学鉴定的初步研究

李明云1 郭强1 周学东1 熊萍1 贾向明2 肖晓蓉1 李伟1 肖丽英1   

  1.  1.口腔疾病研究国家重点实验室, 四川大学; 2.四川大学分析测试中心, 四川成都610041
  • 收稿日期:2009-08-25 修回日期:2009-08-25 出版日期:2009-08-20 发布日期:2009-08-20
  • 通讯作者: 肖丽英,Tel:028-61153332
  • 作者简介: 李明云(1983—),女,河北人,硕士
  • 基金资助:

    教育部科学技术研究重大资助项目(307022);四川省应用基础研究资助项目(07JY029-072)

Initial study on the discrimination of oral common Actinomycetes with metabonomics method

LI Ming-yun1, GUO Qiang1, ZHOU Xue-dong1, XIONG Ping1, JIA Xiang-ming2, XIAO Xiao-rong1, LI Wei1, XIAO Li-ying1   

  1. 1. State Key Laboratory of Oral Diseases, Sichuan University, Chengdu 610041, China; 2. Analytical and Testing Center, Sichuan University, Chengdu 610041, China
  • Received:2009-08-25 Revised:2009-08-25 Online:2009-08-20 Published:2009-08-20
  • Contact: XIAO Li-ying,Tel:028-61153332

摘要:

目的初步将基于核磁共振氢谱(1H-NMR)的代谢组学方法应用于口腔常见放线菌———内氏放线菌和衣氏放线菌的鉴定。方法在BHI液体培养基中接种内氏放线菌和衣氏放线菌,用比浊法测定菌液密度,绘制生长曲线,选择稳定期的培养液检测核磁共振波谱,用主成分分析法进行数据分析。结果主成分分析法显示2组数据内部有集中的聚类关系,可以区分2种放线菌。结论代谢组学分析技术有望应用于口腔放线菌的快速鉴定。

关键词: 代谢组学, 核磁共振, 主成分分析

Abstract:

 [Abstract] Objective The method of metabonomics based on 1H-nuclear magnetic resonance(1H-NMR) was preliminarily applied to discriminate the oral common Actinomycetes, Actinomyces naeslundii ATCC12104 and Actinomyces israelii ATCC12102. Methods Solutions of Actinomyces naeslundii and Actinomyces israelii with same density were made and cultured respectively at BHI liquid culture medium. The concentration of bacteria was determined periodically, and then the growth curves were drawn. The culture solutions in stationary phase of the two bacteria were used to test with the 1H-NMR spectroscopy respectively. The data of 1H-NMR spectroscopy results were analyzed by principal components analysis(PCA). Results The PCA showed the obvious clustering phenomena and the points of two groups data stayed differentially together by two clusters. Therefore, the NMR-based metabolomics profiles can discriminate the two different kinds of bacteria. Conclusion The analysis technology of metabonomics is expected to be applied to rapid identification of actinomycetes.

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