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ABSTRACT: Introduction
Chronic 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.Objectives
The aim of this study is to screen potential biomarkers that can identify diseases from the saliva samples of CEG patients using metabolomics.Methods
Saliva 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
SUBMITTER: Liu S
PROVIDER: S-EPMC10197399 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature