Evidence map›Paper›PMID 41023363›Full record

ArticleScientific reports2025

Metabolomic biomarkers discovery across chronic gastritis to gastric cancer progression.

Le Yang, Jie Wang, Peng Li, Yuxi Guo, Siyuan Li, Shuangyu Liu, Yingying Lou, Jinlong Qi, Qian Yang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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.

Le Yang *Department of Pharmacology, Hebei Medical University, Shijiazhuang, 050017, China.
Jie Wang *Hebei Provincial Hospital of Chinese Medicine, Shijiazhuang, 050011, China.
Peng LiQinhuangdao Hospital of Traditional Chinese Medicine, Qinhuangdao, 066000, China.
Yuxi GuoHebei Provincial Hospital of Chinese Medicine, Shijiazhuang, 050011, China.
Siyuan LiDepartment of Pharmacology, Hebei Medical University, Shijiazhuang, 050017, China.
Shuangyu LiuDepartment of Pharmacology, Hebei Medical University, Shijiazhuang, 050017, China.
Yingying LouHebei Provincial Hospital of Chinese Medicine, Shijiazhuang, 050011, China. louyingying@hebcm.edu.cn.
Jinlong QiDepartment of Pharmacology, Hebei Medical University, Shijiazhuang, 050017, China. jinlongqi@hebmu.edu.cn.
Qian YangHebei Provincial Hospital of Chinese Medicine, Shijiazhuang, 050011, China. yang0311@126.com.

Funding

Central Guidance on Local Science and Technology Development Fund of Hebei Province 226Z2602GCentral-Guided Local Science and Technology Special Project of Hebei Province 246Z7708GHebei Provincial Science and Technology Program Grant 246W7701DKey Research and Development Plan Project of Shijiazhuang 241200263ANational Administration of Traditional Chinese Medicine Science and Technology project GZY-KJS-2023-025National Science and Technology Major Project for Cancer, Cardiovascular, Respiratory and Metabolic Disease Prevention and Treatment Research 2024ZD0521004Natural Science Foundation of Hebei Province H2022206201Natural Science Foundation of Hebei Province H2023423001Science Research Project of Hebei Education Department CXY2024051
6 · The paper itself

Abstract

Gastric cancer (GC) is a severe malignancy characterized by late diagnosis, poor prognosis, and low survival rates. Its progression is often linked to chronic non-atrophic gastritis (CNAG) and chronic atrophic gastritis (CAG), which show atypical symptoms. Identifying biomarkers for CNAG, CAG, and GC progression is crucial for earlier diagnosis and prevention. This study conducted non-targeted metabolomics on 81 clinical samples (17 controls; 23, 23, and 18 from CNAG, CAG, and GC patients, respectively) using ultra-high-performance Liquid chromatography and high-resolution mass spectrometry. A total of 763 metabolites were identified, of which eight metabolic pathways were in dysregulation at different disease stages. Disease progression showed pronounced disruptions in amino acid, Lipid, and microbial metabolism. Targeted metabolomics identified 56 metabolites, with significant differences in O-(4,8-dimethylnonanoyl) carnitine and dehydroepiandrosterone sulfate (DHEAS). DHEAS and L-threonic acid (L-TA) were validated as biomarkers, with detection methods developed and applied to confirm their clinical significance. These findings enhance understanding of CNAG, CAG, and GC progression and provide validated biomarkers for potential clinical application in GC diagnosis and treatment.

Indexed as

Biomarkers, TumorGastritisGastritis, AtrophicMetabolomeMetabolomicsStomach NeoplasmsAdultAgedBiomarkersChromatography, High Pressure LiquidChronic DiseaseDisease ProgressionFemaleHumansMaleMiddle AgedBiomarkersBiomarkers, TumorBiomarkerDehydroepiandrosterone sulfateGastric cancerL-threonic acidMetabolomics

Identifiers

PMID41023363
PMCPMC12480622

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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.