Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis
Abstract Background Chronic atrophic gastritis (CAG) is related to the body’s microbial and metabolic systems. Combined studies of microbiome and metabolomics can clarify the mechanisms of disease occurrence and progression. We used 16S rRNA sequencing, metagenomics sequencing and metabolomics seque...
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BMC
2025-05-01
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| Series: | Journal of Translational Medicine |
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| Online Access: | https://doi.org/10.1186/s12967-025-06458-7 |
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| author | Yumei Ma Jianming Jiang Zhufeng Yang Yongzhang Li Haiyan Bai Zongxiu Liu Shuo Zhang Zheng Zhi Qian Yang |
| author_facet | Yumei Ma Jianming Jiang Zhufeng Yang Yongzhang Li Haiyan Bai Zongxiu Liu Shuo Zhang Zheng Zhi Qian Yang |
| author_sort | Yumei Ma |
| collection | DOAJ |
| description | Abstract Background Chronic atrophic gastritis (CAG) is related to the body’s microbial and metabolic systems. Combined studies of microbiome and metabolomics can clarify the mechanisms of disease occurrence and progression. We used 16S rRNA sequencing, metagenomics sequencing and metabolomics sequencing to depict the landscapes of bacterium and metabolites, construct correlation networks of different bacterium and metabolites describe potential pathogenic mechanisms of chronic atrophic gastritis. Methods The gastric juices of 30 non-atrophic gastritis (NAG) patients and 30 CAG patients were collected. Gastric microflora was analyzed by 16S rRNA sequencing and metagenomics sequencing. Gastric metabolites were analyzed by LC–MS analysis. Different bioinformatics methods were used to analyze the data of microbiome and metabolome, and to analyze the relationship between them. Results In atrophic gastritis, bacteria diversity decreased. The genera with a mean decrease in Gini greater than 1.5 included peptostreptococcus, fusobacterium, prevotella, sphingomonas and bacteroides. KEGG pathway included renal cell carcinoma, proximal tubule bicarbonate reclamation, citrate cycle and aldosterone synthesis and secretion with significant enrichment of differential metabolites. Peptostreptococcus, fusobacterium, prevotella and sphingomonas were in pivot positions of the correlation network of differential metabolites and differential bacterium. Viral carcinogenesis, glycine serine and threonine metabolism, RNA polymerase, galactose metabolism and retinol metabolism were enriched in chronic atrophic gastritis based on the metagenomic sequencing data. Conclusion Peptostreptococcus, fusobacterium, prevotella, sphingomonas and bacteroides were the essential features that distinguish atrophic gastritis from non-atrophic gastritis, and caused disease by altering various metabolic pathways. Viral carcinogenesis, glycine serine and threonine metabolism, RNA polymerase, galactose metabolism and retinol metabolism may be related to the occurrence and progression of CAG. |
| format | Article |
| id | doaj-art-8be6482305cd407aa1e0f101cafb9d1f |
| institution | OA Journals |
| issn | 1479-5876 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj-art-8be6482305cd407aa1e0f101cafb9d1f2025-08-20T01:51:28ZengBMCJournal of Translational Medicine1479-58762025-05-0123111410.1186/s12967-025-06458-7Changes of gastric microflora and metabolites in patients with chronic atrophic gastritisYumei Ma0Jianming Jiang1Zhufeng Yang2Yongzhang Li3Haiyan Bai4Zongxiu Liu5Shuo Zhang6Zheng Zhi7Qian Yang8Department of Reserch Center, Hebei Province Hospital of Chinese MedicineHebei Key Laboratory of Turbidity Toxin SyndromeHebei Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology ResearchDepartment of Reserch Center, Hebei Province Hospital of Chinese MedicineHebei Key Laboratory of Turbidity Toxin SyndromeDepartment of Reserch Center, Hebei Province Hospital of Chinese MedicineDepartment of Reserch Center, Hebei Province Hospital of Chinese MedicineHebei Key Laboratory of Turbidity Toxin SyndromeHebei Key Laboratory of Turbidity Toxin SyndromeAbstract Background Chronic atrophic gastritis (CAG) is related to the body’s microbial and metabolic systems. Combined studies of microbiome and metabolomics can clarify the mechanisms of disease occurrence and progression. We used 16S rRNA sequencing, metagenomics sequencing and metabolomics sequencing to depict the landscapes of bacterium and metabolites, construct correlation networks of different bacterium and metabolites describe potential pathogenic mechanisms of chronic atrophic gastritis. Methods The gastric juices of 30 non-atrophic gastritis (NAG) patients and 30 CAG patients were collected. Gastric microflora was analyzed by 16S rRNA sequencing and metagenomics sequencing. Gastric metabolites were analyzed by LC–MS analysis. Different bioinformatics methods were used to analyze the data of microbiome and metabolome, and to analyze the relationship between them. Results In atrophic gastritis, bacteria diversity decreased. The genera with a mean decrease in Gini greater than 1.5 included peptostreptococcus, fusobacterium, prevotella, sphingomonas and bacteroides. KEGG pathway included renal cell carcinoma, proximal tubule bicarbonate reclamation, citrate cycle and aldosterone synthesis and secretion with significant enrichment of differential metabolites. Peptostreptococcus, fusobacterium, prevotella and sphingomonas were in pivot positions of the correlation network of differential metabolites and differential bacterium. Viral carcinogenesis, glycine serine and threonine metabolism, RNA polymerase, galactose metabolism and retinol metabolism were enriched in chronic atrophic gastritis based on the metagenomic sequencing data. Conclusion Peptostreptococcus, fusobacterium, prevotella, sphingomonas and bacteroides were the essential features that distinguish atrophic gastritis from non-atrophic gastritis, and caused disease by altering various metabolic pathways. Viral carcinogenesis, glycine serine and threonine metabolism, RNA polymerase, galactose metabolism and retinol metabolism may be related to the occurrence and progression of CAG.https://doi.org/10.1186/s12967-025-06458-7Chronic atrophic gastritisNon atrophic gastritisMicrobiomeMetabonomicsRandom forest algorithm |
| spellingShingle | Yumei Ma Jianming Jiang Zhufeng Yang Yongzhang Li Haiyan Bai Zongxiu Liu Shuo Zhang Zheng Zhi Qian Yang Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis Journal of Translational Medicine Chronic atrophic gastritis Non atrophic gastritis Microbiome Metabonomics Random forest algorithm |
| title | Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis |
| title_full | Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis |
| title_fullStr | Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis |
| title_full_unstemmed | Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis |
| title_short | Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis |
| title_sort | changes of gastric microflora and metabolites in patients with chronic atrophic gastritis |
| topic | Chronic atrophic gastritis Non atrophic gastritis Microbiome Metabonomics Random forest algorithm |
| url | https://doi.org/10.1186/s12967-025-06458-7 |
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