Serum metabolomics analysis of malnutrition in patients with gastric cancer: a cross sectional study

作者：Liang Fu, Lixin Song, Xi Zhou, Lin Chen, Lushan Zheng, Dandan Hu, Sha Zhu, Yanting Hu, Daojun Gong, Chun-Liang Chen, Xianghong Ye, Shian Yu · 发表于：BMC Cancer · 年份：2024 · DOI：10.1186/s12885-024-12964-6 · 被引用次数：6 · 研究领域：Nutrition and Health in Aging、Metabolomics and Mass Spectrometry Studies、Ferroptosis and cancer prognosis

BACKGROUND: Although malnutrition is common in cancer patients, its molecular mechanisms has not been fully clarified. This study aims to identify significantly differential metabolites, match the corresponding metabolic pathways, and develop a predictive model of malnutrition in patients with gastric cancer. METHODS: In this cross-sectional study, we applied non-targeted metabolomics using liquid chromatography-mass spectrometry to explore the serum fingerprinting of malnutrition in patients with gastric cancer. Malnutrition-specific differential metabolites were identified by orthogonal partial least-squares discriminant analysis and t-test and matched with the Human Metabolome Database and the LIPID Metabolites and Pathways Strategy. We matched the corresponding metabolic pathways of malnutrition using pathway analysis at the MetaboAnalyst 5.0. We used random forest analyses to establish the predictive model. RESULTS: We recruited 220 malnourished and 198 non-malnourished patients with gastric cancer. The intensities of 25 annotated significantly differential metabolites were lower in patients with malnutrition than those without, while two others were higher in patients with malnutrition than those without, including newly identified significantly differential metabolites such as indoleacrylic acid and lysophosphatidylcholine(18:3/0:0). We matched eight metabolic pathways associated with malnutrition, including aminoacyl-tRNA biosynthesis, tryptophan metabolism, and glyce...