Interactions between gastric microbiota and metabolites in gastric cancer

Abstract 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 p...

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Autores principales: Daofeng Dai, Yan Yang, Jieqing Yu, Tianfeng Dang, Wenjing Qin, Lisong Teng, Jing Ye, Hongqun Jiang
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Publicado: Nature Publishing Group 2021
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Acceso en línea:https://doaj.org/article/b2e1d0b747d24b8a9d0e8536082b18cd
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spelling oai:doaj.org-article:b2e1d0b747d24b8a9d0e8536082b18cd2021-11-28T12:04:27ZInteractions between gastric microbiota and metabolites in gastric cancer10.1038/s41419-021-04396-y2041-4889https://doaj.org/article/b2e1d0b747d24b8a9d0e8536082b18cd2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41419-021-04396-yhttps://doaj.org/toc/2041-4889Abstract 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.Daofeng DaiYan YangJieqing YuTianfeng DangWenjing QinLisong TengJing YeHongqun JiangNature Publishing GrouparticleCytologyQH573-671ENCell Death and Disease, Vol 12, Iss 12, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Cytology
QH573-671
spellingShingle Cytology
QH573-671
Daofeng Dai
Yan Yang
Jieqing Yu
Tianfeng Dang
Wenjing Qin
Lisong Teng
Jing Ye
Hongqun Jiang
Interactions between gastric microbiota and metabolites in gastric cancer
description Abstract 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.
format article
author Daofeng Dai
Yan Yang
Jieqing Yu
Tianfeng Dang
Wenjing Qin
Lisong Teng
Jing Ye
Hongqun Jiang
author_facet Daofeng Dai
Yan Yang
Jieqing Yu
Tianfeng Dang
Wenjing Qin
Lisong Teng
Jing Ye
Hongqun Jiang
author_sort Daofeng Dai
title Interactions between gastric microbiota and metabolites in gastric cancer
title_short Interactions between gastric microbiota and metabolites in gastric cancer
title_full Interactions between gastric microbiota and metabolites in gastric cancer
title_fullStr Interactions between gastric microbiota and metabolites in gastric cancer
title_full_unstemmed Interactions between gastric microbiota and metabolites in gastric cancer
title_sort interactions between gastric microbiota and metabolites in gastric cancer
publisher Nature Publishing Group
publishDate 2021
url https://doaj.org/article/b2e1d0b747d24b8a9d0e8536082b18cd
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AT wenjingqin interactionsbetweengastricmicrobiotaandmetabolitesingastriccancer
AT lisongteng interactionsbetweengastricmicrobiotaandmetabolitesingastriccancer
AT jingye interactionsbetweengastricmicrobiotaandmetabolitesingastriccancer
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