上海口腔医学 ›› 2021, Vol. 30 ›› Issue (2): 201-205.doi: 10.19439/j.sjos.2021.02.018

• 论著 • 上一篇    下一篇

25例口腔鳞癌患者唾液代谢组学分析

薛佳艺1, 朱晓燕2, 危常磊3, 孙培3, 张慧3, 邓婧3   

  1. 1.长治医学院附属和平医院 口腔科,山西 长治 046000;
    2.山东大学齐鲁医院(青岛) 口腔科,山东 青岛 266000;
    3.青岛大学附属医院 口腔内科,山东 青岛 266003
  • 收稿日期:2020-03-09 修回日期:2020-06-16 出版日期:2021-04-25 发布日期:2021-05-11
  • 通讯作者: 邓婧,E-mail:dengjing3333@126.com
  • 作者简介:薛佳艺(1992-),女,硕士,住院医师,E-mail:241829639@qq.com

Study of salivary metabonomics in patients with oral squamous cell carcinoma and leukoplakia

XUE Jia-yi1, ZHU Xiao-yan2, WEI Chang-lei3, SUN Pei3, ZHANG Hui3, DENG Jing3   

  1. 1. Department of Stomatology, Affiliated Peace Hospital of Changzhi Medical College. Changzhi 046000,Shanxi Province;
    2. Department of Stomatology, Qilu Hospital of Shandong University (Qingdao). Qingdao 266000,Shandong Province;
    3. Department of Oral Medicine, Affiliated Hospital of Qingdao University. Qingdao 266003, Shandong Province, China
  • Received:2020-03-09 Revised:2020-06-16 Online:2021-04-25 Published:2021-05-11

摘要: 目的:用代谢组学方法检测并分析口腔鳞状细胞癌(oral squamous cell carcinoma,OSCC)是否有典型差异代谢物,探讨此方法用于临床诊断或筛查的可行性。方法:利用气相色谱-飞行时间质谱(GC-TOF-MS)代谢组学方法,对OSCC、口腔白斑(OLK)患者以及健康人的唾液标本进行分析,运用SIMCA软件对结果进行主成分分析和正交偏最小二乘法判别分析。结果:OSCC、OLK和健康对照组的代谢轮廓表现出显著差异(P<0.05),3组之间存在的典型差异代谢物共有15种。进一步探讨其代谢通路,发现OSCC患者与OLK患者都存在不同程度的蛋白质代谢、能量代谢以及脂类代谢失衡现象;同时,还表现出三羧酸循环异常。结论:运用代谢组学方法可检测出OSCC、OLK与健康人之间存在着15种典型的差异代谢物,将有助于OSCC的早期筛查。

关键词: 口腔鳞癌, 口腔黏膜白斑, 代谢组学

Abstract: PURPOSE: The objective of this study was to detect and analyze the existence of differential metabolites from saliva of patients with oral squamous cell carcinoma(OSCC) by metabonomics method, and to evaluate its application value on clinical diagnosis or screening of OSCC. METHODS: The collected saliva samples for OSCC patients, oral leukoplakiac(OLK) patients who were pathologically diagnosed and met the inclusion criteria were analyzed using metabonomics methods (GC-TOF-MS). The results were analyzed by principal component analysis and orthogonal partial least squares discriminant analysis using SIMCA software. RESULTS: The metabolic profiles of OSCC, OLK and healthy control group showed significant differences (P<0.05). In total, 15 typical differential metabolites among the three groups were detected. Further study focusing on metabolic pathway revealed imbalance of protein, energy and lipid metabolism between OSCC and OLK patients. Abnormal tricarboxylic acid cycle was detected as well. CONCLUSIONS: Metabonomics methods is feasible for differential metabolites analysis,15 differential metabolites were detected in OSCC,OLK patients and healthy people. These findings will contribute to the early screening of oral squamous cell carcinoma .

Key words: Oral squamous cell carcinoma, Oral leukoplakia, Metabonomics

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