Exploring changes in metabolites and fecal microbiota of advanced gastric cancer based on plasma metabolomics and 16S rDNA sequencing
Metabolomics and 16S rDNA sequencing have shown great potential in elucidating complex mechanisms associated with diseases. Currently, there is little research on the omics of gastric cancer and it lacks effective biomarkers. Objective: Based on plasma metabolomics and 16S rDNA sequencing to evaluat...
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Elsevier
2025-01-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025000957 |
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| author | Xinyi Feng Yu Zhang Jun Feng Zhongjun Li Zhi Zhang Lin Zhu Ruoyu Zhou Haibo Wang Xiaojun Dai Yanqing Liu |
| author_facet | Xinyi Feng Yu Zhang Jun Feng Zhongjun Li Zhi Zhang Lin Zhu Ruoyu Zhou Haibo Wang Xiaojun Dai Yanqing Liu |
| author_sort | Xinyi Feng |
| collection | DOAJ |
| description | Metabolomics and 16S rDNA sequencing have shown great potential in elucidating complex mechanisms associated with diseases. Currently, there is little research on the omics of gastric cancer and it lacks effective biomarkers. Objective: Based on plasma metabolomics and 16S rDNA sequencing to evaluate the changes in metabolites and fecal microbiota of advanced gastric cancer. Method: Firstly, plasma metabolomics was used to screen for differential metabolites and metabolic pathways in gastric cancer. Then, 16S rDNA sequencing was performed on fecal samples to study the differential intestinal microbiota in gastric cancer patients. Finally, conduct a correlation analysis between them. Result: A total of 152 differential metabolites were identified, and we screened 10 of them. All metabolites were enriched into 42 differential metabolic pathways, of which 13 have P values less than 0.05. 16S rDNA sequencing showed significant differences in 4 microbial communities at the phylum level. There are significant differences in 23 communities at the genus level. We focus on Lactobacillales, Lactobacillus, Streptococcus, Veillonella, Bacilli and Megasphaera. Correlation analysis shows that the intestinal microbiota and plasma metabolites jointly affect the occurrence and development of gastric cancer. Conclusion: For the first time, we comprehensively used plasma metabolomics and 16S rDNA sequencing to reveal the changes and correlations between metabolites and intestinal microbiota in advanced gastric cancer. We have discovered new potential biomarkers for gastric cancer. This deepens our understanding of the physiological and pathological mechanisms of advanced gastric cancer and helps to improve the diagnosis and treatment of advanced gastric cancer. |
| format | Article |
| id | doaj-art-91367b5820454af0910fad43fd4d7e9d |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-91367b5820454af0910fad43fd4d7e9d2025-02-02T05:28:01ZengElsevierHeliyon2405-84402025-01-01112e41715Exploring changes in metabolites and fecal microbiota of advanced gastric cancer based on plasma metabolomics and 16S rDNA sequencingXinyi Feng0Yu Zhang1Jun Feng2Zhongjun Li3Zhi Zhang4Lin Zhu5Ruoyu Zhou6Haibo Wang7Xiaojun Dai8Yanqing Liu9Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, China; The Key Laboratory of Syndrome Differentiation and Treatment of Gastric Cancer of the State Administration of Traditional Chinese Medicine, Yangzhou, 225001, ChinaInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, China; The Key Laboratory of Syndrome Differentiation and Treatment of Gastric Cancer of the State Administration of Traditional Chinese Medicine, Yangzhou, 225001, ChinaDepartment of Oncology, Gaoyou Hospital of Traditional Chinese Medicine, Yangzhou 225600, ChinaDepartment of Oncology, Yizheng Hospital of Traditional Chinese Medicine, Yangzhou 225600, ChinaDepartment of Oncology, Baoying People's Hospital, Yangzhou 225600, ChinaDepartment of Oncology, Baoying People's Hospital, Yangzhou 225600, ChinaInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, China; The Key Laboratory of Syndrome Differentiation and Treatment of Gastric Cancer of the State Administration of Traditional Chinese Medicine, Yangzhou, 225001, ChinaInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, China; The Key Laboratory of Syndrome Differentiation and Treatment of Gastric Cancer of the State Administration of Traditional Chinese Medicine, Yangzhou, 225001, ChinaInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, China; The Key Laboratory of Syndrome Differentiation and Treatment of Gastric Cancer of the State Administration of Traditional Chinese Medicine, Yangzhou, 225001, China; Department of Oncology, Yangzhou Hospital of Traditional Chinese Medicine, Yangzhou 225600, ChinaInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, China; The Key Laboratory of Syndrome Differentiation and Treatment of Gastric Cancer of the State Administration of Traditional Chinese Medicine, Yangzhou, 225001, ChinaMetabolomics and 16S rDNA sequencing have shown great potential in elucidating complex mechanisms associated with diseases. Currently, there is little research on the omics of gastric cancer and it lacks effective biomarkers. Objective: Based on plasma metabolomics and 16S rDNA sequencing to evaluate the changes in metabolites and fecal microbiota of advanced gastric cancer. Method: Firstly, plasma metabolomics was used to screen for differential metabolites and metabolic pathways in gastric cancer. Then, 16S rDNA sequencing was performed on fecal samples to study the differential intestinal microbiota in gastric cancer patients. Finally, conduct a correlation analysis between them. Result: A total of 152 differential metabolites were identified, and we screened 10 of them. All metabolites were enriched into 42 differential metabolic pathways, of which 13 have P values less than 0.05. 16S rDNA sequencing showed significant differences in 4 microbial communities at the phylum level. There are significant differences in 23 communities at the genus level. We focus on Lactobacillales, Lactobacillus, Streptococcus, Veillonella, Bacilli and Megasphaera. Correlation analysis shows that the intestinal microbiota and plasma metabolites jointly affect the occurrence and development of gastric cancer. Conclusion: For the first time, we comprehensively used plasma metabolomics and 16S rDNA sequencing to reveal the changes and correlations between metabolites and intestinal microbiota in advanced gastric cancer. We have discovered new potential biomarkers for gastric cancer. This deepens our understanding of the physiological and pathological mechanisms of advanced gastric cancer and helps to improve the diagnosis and treatment of advanced gastric cancer.http://www.sciencedirect.com/science/article/pii/S2405844025000957Plasma metabolomics16S rDNA sequencingGastric cancerGut flora |
| spellingShingle | Xinyi Feng Yu Zhang Jun Feng Zhongjun Li Zhi Zhang Lin Zhu Ruoyu Zhou Haibo Wang Xiaojun Dai Yanqing Liu Exploring changes in metabolites and fecal microbiota of advanced gastric cancer based on plasma metabolomics and 16S rDNA sequencing Heliyon Plasma metabolomics 16S rDNA sequencing Gastric cancer Gut flora |
| title | Exploring changes in metabolites and fecal microbiota of advanced gastric cancer based on plasma metabolomics and 16S rDNA sequencing |
| title_full | Exploring changes in metabolites and fecal microbiota of advanced gastric cancer based on plasma metabolomics and 16S rDNA sequencing |
| title_fullStr | Exploring changes in metabolites and fecal microbiota of advanced gastric cancer based on plasma metabolomics and 16S rDNA sequencing |
| title_full_unstemmed | Exploring changes in metabolites and fecal microbiota of advanced gastric cancer based on plasma metabolomics and 16S rDNA sequencing |
| title_short | Exploring changes in metabolites and fecal microbiota of advanced gastric cancer based on plasma metabolomics and 16S rDNA sequencing |
| title_sort | exploring changes in metabolites and fecal microbiota of advanced gastric cancer based on plasma metabolomics and 16s rdna sequencing |
| topic | Plasma metabolomics 16S rDNA sequencing Gastric cancer Gut flora |
| url | http://www.sciencedirect.com/science/article/pii/S2405844025000957 |
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