Evidence map›Paper›PMID 40361215›Full record

ArticleJournal of translational medicine2025

Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis.

Yumei Ma, Jianming Jiang, Zhufeng Yang, Yongzhang Li, Haiyan Bai, Zongxiu Liu, Shuo Zhang, Zheng Zhi, Qian Yang

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yumei Ma *Department of Reserch Center, Hebei Province Hospital of Chinese Medicine, 389 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China.
Jianming Jiang *Hebei Key Laboratory of Turbidity Toxin Syndrome, 389 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China.
Zhufeng Yang *Hebei Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research, 389 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China.
Yongzhang Li *Department of Reserch Center, Hebei Province Hospital of Chinese Medicine, 389 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China.
Haiyan BaiHebei Key Laboratory of Turbidity Toxin Syndrome, 389 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China.
Zongxiu LiuDepartment of Reserch Center, Hebei Province Hospital of Chinese Medicine, 389 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China.
Shuo ZhangDepartment of Reserch Center, Hebei Province Hospital of Chinese Medicine, 389 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China.
Zheng ZhiHebei Key Laboratory of Turbidity Toxin Syndrome, 389 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China. hbzyxyzz@163.com.
Qian YangHebei Key Laboratory of Turbidity Toxin Syndrome, 389 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China. hbszyangqian@163.com.ORCID 0000-0002-1028-7899

Funding

Hebei Provincial Department of Science and Technology No.21377724DNational Administration of Traditional Chinese Medicine Science and Technology No. 18Provincial Science and Technology Plan of Hebei Province 246W7701D
6 · The paper itself

Abstract

backgroundChronic 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.

methodsThe 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.

resultsIn 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.

conclusionPeptostreptococcus, 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.

Indexed as

Gastritis, AtrophicGastrointestinal MicrobiomeMicrobiotaStomachAdultAgedBacteriaChronic DiseaseFemaleHumansMaleMetabolomeMetabolomicsMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 16SChronic atrophic gastritisMetabonomicsMicrobiomeNon atrophic gastritisRandom forest algorithm

Identifiers

PMID40361215
PMCPMC12070603

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.