Effect of Helicobacter Pylori on Plasma Metabolic Phenotype in Patients With Gastric Cancer

Background Although Helicobacter pylori (Hp) as high risk factor for gastric cancer have been investigated from human trial, present data is inadequate to explain the effect of Hp on the changes of metabolic phenotype of gastric cancer in different stages. Purpose Herein, plasma of human superficial gastritis (Hp negative and positive), early gastric cancer and advanced gastric cancer analyzed by UPLC-HDMS metabolomics can not only reveal metabolic phenotype changes in patients with gastric cancer of different degrees (30 Hp negative, 30 Hp positive, 20 early gastric cancer patients, and 10 advanced gastric cancer patients), but also auxiliarily diagnose gastric cancer. Results Combined with multivariate statistical analysis, the results represented biomarkers different from Hp negative, Hp positive, and the alterations of metabolic phenotype of gastric cancer patients. Forty-three metabolites are involved in amino acid metabolism, and lipid and fatty acid metabolism pathways in the process of cancer occurrence, especially 2 biomarkers glycerophosphocholine and neopterin, were screened in this study. Neopterin was consistently increased with gastric cancer progression and glycerophosphocholine tended to consistently decrease from Hp negative to advanced gastric cancer. Conclusion This method could be used for the development of rapid targeted methods for biomarker identification and a potential diagnosis of gastric cancer.

Automated summary

This study used UPLC-HDMS metabolomics to analyze plasma samples from patients with superficial gastritis, early gastric cancer, and advanced gastric cancer, revealing metabolic phenotype changes and potential biomarkers. The results showed differences in biomarkers related to amino acid, lipid, and fatty acid metabolism pathways, with glycerophosphocholine and neopterin identified as key biomarkers associated with gastric cancer progression. This method could be useful for biomarker identification and potential diagnosis of gastric cancer.