Interactions between gastric microbiota and metabolites in gastric cancer

被引:88
作者
Dai, Daofeng [1 ]
Yang, Yan [2 ]
Yu, Jieqing [1 ]
Dang, Tianfeng [1 ]
Qin, Wenjing [3 ]
Teng, Lisong [1 ,2 ]
Ye, Jing [1 ]
Jiang, Hongqun [1 ]
机构
[1] Nanchang Univ, Jiangxi Otorhinolaryngol Head & Neck Surg Inst, Dept Otorhinolaryngol Head & Neck Surg, Affiliated Hosp 1, Nanchang, Jiangxi, Peoples R China
[2] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Dept Surg Oncol, Hangzhou, Zhejiang, Peoples R China
[3] Nanchang Univ, Human Genet Resources Ctr, Affiliated Hosp 1, Nanchang, Jiangxi, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
MUCOSAL MICROBIOTA;
D O I
10.1038/s41419-021-04396-y
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
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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页数:11
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