色谱 ›› 2016, Vol. 34 ›› Issue (6): 602-607.DOI: 10.3724/SP.J.1123.2016.01020

• 研究论文 • 上一篇    下一篇

基于气相色谱-飞行时间质谱技术的佐剂性关节炎大鼠尿液代谢组学的研究

汪永忠1, 柳清2, 姜辉1, 韩燕全1, 李钰馨2   

  1. 1. 安徽中医药大学第一附属医院, 国家中医药管理局中药制剂三级实验室, 安徽 合肥 230031;
    2. 安徽中医药大学药学院, 安徽 合肥 230038
  • 收稿日期:2016-01-15 出版日期:2016-06-08 发布日期:2013-01-23
  • 通讯作者: 汪永忠
  • 基金资助:

    安徽省自然科学基金项目(1508085MH201)

Metabolomics study in rat urine of adjuvant arthritis using gas chromatography-time-of-flight mass spectrometry

WANG Yongzhong1, LIU Qing2, JIANG Hui1, HAN Yanquan1, LI Yuxin2   

  1. 1. The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Grade 3 Laboratory of Traditional Chinese Medicine Preparation, State Administration of Traditional Chinese Medicine(TCM), Hefei 230031, China;
    2. College of Pharmacy, Anhui University of Traditional Chinese Medicine, Hefei 230038, China
  • Received:2016-01-15 Online:2016-06-08 Published:2013-01-23
  • Supported by:

    Project of Natural Science Foundation of Anhui Province (No. 1508085MH201).

摘要:

采用弗氏完全佐剂(FCA)诱导佐剂性关节炎(AA)大鼠模型,观察大鼠足趾肿胀度和踝关节组织的病理学形态变化。应用气相色谱-飞行时间质谱(GC-TOF MS)技术检测AA大鼠尿液代谢物谱,并对数据进行主成分分析(PCA)、偏最小二乘法-判别分析(PLS-DA)及正交偏最小二乘法-判别分析(OPLS-DA),探讨可能的发病机制。通过变量重要性投影值(VIP>1)和P值(<0.05),筛选出尿液中的差异代谢物。在模型组大鼠的尿液中共发现异柠檬酸、α-酮戊二酸、柠康酸、肌酸、3-羟基丁酸等20种差异代谢物。推断AA代谢组学的发病机制可能与能量代谢、氨基酸代谢、脂肪酸代谢途径有关。

关键词: 代谢组学, 尿液, 气相色谱-飞行时间质谱, 佐剂性关节炎

Abstract:

Adjuvant arthritis (AA) rats induced by Freund's complete adjuvant (FCA) were used to observe the changes of the degree of swelling in the toes and pathomorphology of ankle joint tissue. Gas chromatography-time-of-flight mass spectrometry (GC-TOF MS) was employed to detect the metabolite spectrum in rat urine with AA, and the data were analyzed by principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA), and to explore its possible pathogenesis. Several metabolites based on the variable importance in the projection values (VIP>1), P value (<0.05) and screening in databases were identified. The results showed that 20 potential biomarkers such as isocitric acid, α-ketoglutaric acid, citraconic acid, creatine and 3-hydroxybutyric acid which had a significant contribution to classification were selected. Comparing with the normal group, AA rats present an abnormal metabolism. This study illustrates that AA metabolomics pathogenesis may be related to regulating the dysfunction of energy metabolism, amino acid metabolism and fatty acid metabolism.

Key words: adjuvant arthritis (AA), gas chromatography-time-of-flight mass spectrometry (GC-TOF MS), metabolomics, urine

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