Li Fu-feng, Zhao Jie, Qian Peng, Wang Yi-qin, Fu Jing-jing, Sun Zhu-mei, Yan Hai-xia, Yang Li
Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhong Xi Yi Jie He Xue Bao. 2012 Jul;10(7):757-65. doi: 10.3736/jcim20120706.
To explore the changes in metabolites in the greasy tongue coating in patients with chronic gastritis.
Forty chronic gastritis patients presenting with greasy tongue coating, 30 chronic gastritis patients presenting with non-greasy tongue coating, and 20 healthy control persons presenting with light red tongues and thin white coating were enrolled, and the tongue coating was detected by combining artificial diagnosis and the Z-BOX Tongue Digital Analyzer's diagnosis. Samples of all the tongue coatings were collected before treatment. The metabolic fingerprinting of the tongue coating samples was obtained using ultra-performance liquid chromatography and mass spectrometry (UPLC-MS), and the metabolic components in the tongue coating samples were detected. After this, principal component analysis, partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to identify potential metabolic markers. Finally, the components were identified using the Chemspider and HMDB searching.
UPLC-MS results were analyzed by OPLS-DA and showed that the metabolites among the three groups were distributed in different regions. The different potential metabolic markers between the patients with or without greasy coating were 3-ketolactose, 2-deoxy-D-ribose, UDP-D-galactose metarhodopsin, ascorbate, picolinate and histidine. The different potential metabolic markers between the greasy coating group and the normal group were 3-ketolactose, UDP-D-galactose, leukotriene A4 and vitamin D(2).
The metabolites of the greasy coating group, the non-greasy coating group and the normal group show significant differences in energy metabolism, mainly of glucose metabolism. This demonstrated that glucose metabolism may be one of the mechanisms leading to the formation of greasy coating.
探讨慢性胃炎患者腻苔中代谢物的变化。
纳入40例有腻苔的慢性胃炎患者、30例无腻苔的慢性胃炎患者以及20例舌象为淡红舌薄白苔的健康对照者,采用人工诊断与Z-BOX舌象数字分析仪诊断相结合的方法检测舌苔。在治疗前采集所有舌苔样本。采用超高效液相色谱-质谱联用(UPLC-MS)技术获取舌苔样本的代谢指纹图谱,并检测舌苔样本中的代谢成分。之后,采用主成分分析、偏最小二乘判别分析和正交偏最小二乘判别分析(OPLS-DA)来识别潜在的代谢标志物。最后,通过Chemspider和HMDB检索对成分进行鉴定。
通过OPLS-DA分析UPLC-MS结果,显示三组间代谢物分布于不同区域。有或无腻苔患者之间不同的潜在代谢标志物为3-酮乳糖、2-脱氧-D-核糖、UDP-D-半乳糖视紫红质、抗坏血酸、吡啶甲酸盐和组氨酸。腻苔组与正常组之间不同的潜在代谢标志物为3-酮乳糖、UDP-D-半乳糖、白三烯A4和维生素D(2)。
腻苔组、非腻苔组和正常组的代谢物在能量代谢方面存在显著差异,主要是糖代谢。这表明糖代谢可能是导致腻苔形成的机制之一。