Changes in the salivary metabolome in patients with chronic erosive gastritis

BMC Gastroenterology

Research

Huixia Li¹  Jingjing Lv²  Pingping Zhou²  Haoyu Chen³  Shaowei Liu³  Tianxiao Yang³  Yangang Wang⁴  Shixiong Zhang⁵ 

[1] Beijing University of Chinese Medicine Third Affiliated Hospital, Anwai Xiaoguan Street No. 51, Chaoyang District, 100029, Beijing, China;Hebei Hospital of Traditional Chinese Medicine, Zhongshan East Road No 389, Changan District, 050011, Shijiazhuang, Hebei, China;Hebei University of Chinese Medicine, Xinshi South Road No 326, Qiaoxi District, 050091, Shijiazhuang, Hebei, China;Hebei University of Chinese Medicine, Xinshi South Road No 326, Qiaoxi District, 050091, Shijiazhuang, Hebei, China;Beijing University of Chinese Medicine Third Affiliated Hospital, Anwai Xiaoguan Street No. 51, Chaoyang District, 100029, Beijing, China;Nanjing University of Chinese Medicine, 138 Xianlin Avenue, 210023, Nanjing, Jiangsu, China;

关键词: Chronic erosive gastritis;    Saliva;    Metabolomics;    Biomarker;    UHPLC-Q-TOF/MS;   

DOI  :  10.1186/s12876-023-02803-6

 received in 2022-09-03, accepted in 2023-05-05,  发布年份 2023

来源: Springer

【 摘 要 】

IntroductionChronic erosive gastritis (CEG) is closely related to gastric cancer, which requires early diagnosis and intervention. The invasiveness and discomfort of electronic gastroscope have limited its application in the large-scale screening of CEG. Therefore, a simple and noninvasive screening method is needed in the clinic.ObjectivesThe aim of this study is to screen potential biomarkers that can identify diseases from the saliva samples of CEG patients using metabolomics.MethodsSaliva samples from 64 CEG patients and 30 healthy volunteers were collected, and metabolomic analysis was performed using UHPLC-Q-TOF/MS in the positive and negative ion modes. Statistical analysis was performed using both univariate (Student’s t-test) and multivariate (orthogonal partial least squares discriminant analysis) tests. Receiver operating characteristic (ROC) analysis was conducted to determine significant predictors in the saliva of CEG patients.ResultsBy comparing the saliva samples from CEG patients and healthy volunteers, 45 differentially expressed metabolites were identified, of which 37 were up-regulated and 8 were down-regulated. These differential metabolites were related to amino acid, lipid, phenylalanine metabolism, protein digestion and absorption, and mTOR signaling pathway. In the ROC analysis, the AUC values of 7 metabolites were greater than 0.8, among which the AUC values of 1,2-dioleoyl-sn-glycoro-3-phosphodylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phospholine (SOPC) were greater than 0.9.ConclusionsIn summary, a total of 45 metabolites were identified in the saliva of CEG patients. Among them, 1,2-dioleoyl-sn-glycoro-3-phosphorylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phosphorine (SOPC) might have potential clinical application value.

【 授权许可】

CC BY   
© The Author(s) 2023

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