Interactions between gastric microbiota and metabolites in gastric cancer

被引:71
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
中国博士后科学基金; 中国国家自然科学基金;
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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共 31 条
  • [1] Stomach microbiota composition varies between patients with non-atrophic gastritis and patients with intestinal type of gastric cancer
    Aviles-Jimenez, Francisco
    Vazquez-Jimenez, Flor
    Medrano-Guzman, Rafael
    Mantilla, Alejandra
    Torres, Javier
    [J]. SCIENTIFIC REPORTS, 2014, 4
  • [2] Adenosine Metabolism: Emerging Concepts for Cancer Therapy
    Boison, Detlev
    Yegutkin, Gennady G.
    [J]. CANCER CELL, 2019, 36 (06) : 582 - 596
  • [3] QIIME allows analysis of high-throughput community sequencing data
    Caporaso, J. Gregory
    Kuczynski, Justin
    Stombaugh, Jesse
    Bittinger, Kyle
    Bushman, Frederic D.
    Costello, Elizabeth K.
    Fierer, Noah
    Pena, Antonio Gonzalez
    Goodrich, Julia K.
    Gordon, Jeffrey I.
    Huttley, Gavin A.
    Kelley, Scott T.
    Knights, Dan
    Koenig, Jeremy E.
    Ley, Ruth E.
    Lozupone, Catherine A.
    McDonald, Daniel
    Muegge, Brian D.
    Pirrung, Meg
    Reeder, Jens
    Sevinsky, Joel R.
    Tumbaugh, Peter J.
    Walters, William A.
    Widmann, Jeremy
    Yatsunenko, Tanya
    Zaneveld, Jesse
    Knight, Rob
    [J]. NATURE METHODS, 2010, 7 (05) : 335 - 336
  • [4] Dysbiosis of the microbiome in gastric carcinogenesis
    Castano-Rodriguez, Natalia
    Goh, Khean-Lee
    Fock, Kwong Ming
    Mitchell, Hazel M.
    Kaakoush, Nadeem O.
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [5] Cancer Statistics in China, 2015
    Chen, Wanqing
    Zheng, Rongshou
    Baade, Peter D.
    Zhang, Siwei
    Zeng, Hongmei
    Bray, Freddie
    Jemal, Ahmedin
    Yu, Xue Qin
    He, Jie
    [J]. CA-A CANCER JOURNAL FOR CLINICIANS, 2016, 66 (02) : 115 - 132
  • [6] Association between Helicobacter pylori and mortality in the NHANES III study
    Chen, Yu
    Segers, Stephanie
    Blaser, Martin J.
    [J]. GUT, 2013, 62 (09) : 1262 - 1269
  • [7] Mucosal microbiome dysbiosis in gastric carcinogenesis
    Coker, Olabisi Oluwabukola
    Dai, Zhenwei
    Nie, Yongzhan
    Zhao, Guijun
    Cao, Lei
    Nakatsu, Geicho
    Wu, William K. K.
    Wong, Sunny Hei
    Chen, Zigui
    Sung, Joseph J. Y.
    Yu, Jun
    [J]. GUT, 2018, 67 (06) : 1024 - 1032
  • [8] Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
  • [9] UCHIME improves sensitivity and speed of chimera detection
    Edgar, Robert C.
    Haas, Brian J.
    Clemente, Jose C.
    Quince, Christopher
    Knight, Rob
    [J]. BIOINFORMATICS, 2011, 27 (16) : 2194 - 2200
  • [10] Influence of gastrectomy for gastric cancer treatment on faecal microbiome and metabolome profiles
    Erawijantari, Pande Putu
    Mizutani, Sayaka
    Shiroma, Hirotsugu
    Shiba, Satoshi
    Nakajima, Takeshi
    Sakamoto, Taku
    Saito, Yutaka
    Fukuda, Shinji
    Yachida, Shinichi
    Yamada, Takuji
    [J]. GUT, 2020, 69 (08) : 1404 - 1415