4.7 Article

Interactions between gastric microbiota and metabolites in gastric cancer

Journal

CELL DEATH & DISEASE
Volume 12, Issue 12, Pages -

Publisher

SPRINGERNATURE
DOI: 10.1038/s41419-021-04396-y

Keywords

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Funding

  1. National Natural Science Foundation of China [81860182, 82160527]
  2. Natural Science Foundation of Jiangxi Province [20181BAB205036]
  3. Project of the Regional Diagnosis and Treatment Center of the Health Planning Committee [JBZX-201903]
  4. China Postdoctoral Science Foundation [2018M633215]
  5. Science and Technology Department of Jiangxi Province [20203BBGL73201]
  6. Health Commission of Jiangxi Province [20203229]
  7. First Affiliated Hospital of Nanchang University [YFYPY202002]

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The study characterized the gastric microbiome and metabolome profiles of GC tumor tissues and non-tumor tissues, revealing higher microbial diversity and richness in tumor tissues, as well as differences in metabolite abundance. Helicobacter and Lactobacillus were found to be associated with the majority of differential metabolites, suggesting their potential roles in GC carcinogenesis and progression.
The development and progression of gastric cancer (GC) is greatly influenced by gastric microbiota and their metabolites. Here, we characterized the gastric microbiome and metabolome profiles of 37 GC tumor tissues and matched non-tumor tissues using 16s rRNA gene sequencing and ultrahigh performance liquid chromatography tandem mass spectrometry, respectively. Microbial diversity and richness were higher in GC tumor tissues than in non-tumor tissues. The abundance of Helicobacter was increased in non-tumor tissues, while the abundance of Lactobacillus, Streptococcus, Bacteroides, Prevotella, and 6 additional genera was increased in the tumor tissues. The untargeted metabolome analysis revealed 150 discriminative metabolites, among which the relative abundance of the amino acids, carbohydrates and carbohydrate conjugates, glycerophospholipids, and nucleosides was higher in tumor tissues compared to non-tumor tissues. The targeted metabolome analysis further demonstrated that the combination of 1-methylnicotinamide and N-acetyl-D-glucosamine-6-phosphate could serve as a robust biomarker for distinction between GC tumors and non-tumor tissues. Correlation analysis revealed that Helicobacter and Lactobacillus were negatively and positively correlated with the majority of differential metabolites in the classes of amino acids, carbohydrates, nucleosides, nucleotides, and glycerophospholipids, respectively, suggesting that Helicobacter and Lactobacillus might play a role in degradation and synthesis of the majority of differential metabolites in these classes, respectively. Acinetobacter, Comamonas, Faecalibacterium, Sphingomonas, and Streptococcus were also significantly correlated with many differential amino acids, carbohydrates, nucleosides, nucleotides, and glycerophospholipids. In conclusion, the differences in metabolome profiles between GC tumor and matched non-tumor tissues may be partly due to the collective activities of Helicobacter, Lactobacillus, and other bacteria, which eventually affects GC carcinogenesis and progression.

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