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常见致龋菌代谢组学鉴定的初步研究
引用本文:李淼,肖丽英,李继遥,孔祥丽,于佳辉,周京琳,肖晓蓉,朱硃,龚其美,李伟.常见致龋菌代谢组学鉴定的初步研究[J].华西口腔医学杂志,2007,25(4):342-344.
作者姓名:李淼  肖丽英  李继遥  孔祥丽  于佳辉  周京琳  肖晓蓉  朱硃  龚其美  李伟
作者单位:口腔生物医学工程教育部重点实验室, 四川大学, 四川成都610041
摘    要:目的初步将基于核磁共振的代谢组学方法应用于口腔致龋菌的鉴定,期望寻找一种能快速鉴定口腔致龋菌的方法。方法在改良TPY培养基中接种变形链球菌及粘性放线菌,用比浊法绘制生长曲线,选择两种细菌生长后4个时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。结果主成分分析显示两组数据内部有集中的聚类关系,可以区分两种细菌。结论代谢组学技术有望应用于口腔细菌的快速鉴定。

关 键 词:代谢组学  核磁共振技术  细菌  鉴定  
文章编号:1000-1182(2007)04-0342-03
收稿时间:2007-08-25
修稿时间:2006-11-14

Initial study on discrimination of oral microorganisms with the metabonomics technique
LI Miao,XIAO Li-ying,LI Ji-yao,KONG Xiang-li,YU Jia-hui,ZHOU Jing-lin,XIAO Xiao-rong,ZHU Zhu,GONG Qi-mei,LI Wei.Initial study on discrimination of oral microorganisms with the metabonomics technique[J].West China Journal of Stomatology,2007,25(4):342-344.
Authors:LI Miao  XIAO Li-ying  LI Ji-yao  KONG Xiang-li  YU Jia-hui  ZHOU Jing-lin  XIAO Xiao-rong  ZHU Zhu  GONG Qi-mei  LI Wei
Institution:Key. Laboratory of Oral Biomedical Engineering of Ministry of Education, Sichuan University, Chengdu 610041, China
Abstract:Objective To evaluate the feasibility of employing metabonomics method in identification of oral pathogenic bacteria.Methods The Streptococcus mutans ATCC25175 and Actinomyces viscosus ATCC15987 were respectively inoculated in same certain culture medium.The growth curves of the inoculated bacteria were drown by turbidimetry.The culture solutions in four different growth phases of the both bacteria were used to test with the 1H-Nuclear magnetic resonance(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 group data stayed differentially together by two clusters.Therefore,the NMR-based metabonomics profiles can discriminate the two different kind of bacteria.Conclusion The metabonomics can be expected to be a kind of promising useful method in quick discrimination of oral pathogenic bacteria.
Keywords:metabonomics  nuclear magnetic resonance  bacterium  identification
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