Evidence map›Paper›PMID 38004131›Full record

SynthesisNutrients2023

Predicting Personalized Diets Based on Microbial Characteristics between Patients with Superficial Gastritis and Atrophic Gastritis.

Xiaoxiang Gao, Pingping Yin, Yilin Ren, Leilei Yu, Fengwei Tian, Jianxin Zhao, Wei Chen, Yuzheng Xue, Qixiao Zhai

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Microbiota and gastric cancer: from molecular mechanisms to therapeutic strategies.Frontiers in cellular and infection microbiology · 2025
    Review
  6. Review
  7. Review
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.

Xiaoxiang GaoState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
Pingping YinState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
Yilin RenDepartment of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi 214122, China.ORCID 0000-0001-6339-8579
Leilei YuState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-3191-3123
Fengwei TianState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
Jianxin ZhaoState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
Wei ChenState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
Yuzheng XueDepartment of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi 214122, China.
Qixiao ZhaiState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.

Funding

Key Talents Project of "Strengthening Health through Science and Education" of Wuxi Health and Family Planning Commission ZDRC039National Natural Science Foundation of China 32021005National Natural Science Foundation of China 32122067Natural Science Foundation of Jiangsu Province BK20200084Top Talents Project of "Six-one Project" for High-level Health Talents in Jiangsu Province LGY2018016
6 · The paper itself

Abstract

backgroundgastritis is a common stomach disease with a high global incidence and can potentially develop into gastric cancer. The treatment of gastritis focuses on medication or diets based on national guidelines. However, the specific diet that can alleviate gastritis remains largely unknown.

methodswe propose a microbiota-directed dietary strategy that investigates potential food factors using microbial exogenous metabolites. Given the current lack of understanding of the repeatable characteristics of gastric microbiota, we conducted a meta-analysis to identify the features of gastric bacteria. Local samples were collected as validation cohorts. Furthermore, RevEcoR was employed to identify bacteria's exogenous metabolites, and FooDB was used to retrieve foods that can target specific bacteria.

resultsBacteroides, Weissella, Actinomyces, Atopobium, Oribacterium, Peptostreptococcus, and Rothia were biomarkers between superficial gastritis (SG) and atrophic gastritis (AG) (AG_N) without

conclusionsthis study firstly profiled the gastric microbiota of AG and SG with or without

Indexed as

GastritisGastritis, AtrophicHelicobacter InfectionsHelicobacter pyloriStomach NeoplasmsDietHumansatrophic gastritisdietary strategiesexogenous metabolitesH. pylorimicrobiomemicrobiota-directed food

Identifiers

PMID38004131
PMCPMC10675729

What OpenQuestion holds

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Registered trials

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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.