Evidence map›Paper›PMID 40898307›Full record

ArticleBMC nutrition2025

Effects of three different dietary β-gulcans supplementation on the microbiota composition and short-chain fatty acid production in mice.

Ruicong Wu, Xinyou Zhang, Haoyu Qin, Xinyi Xia, Fangfang Yi, Yu Zhang, Ruihang Zhang, Xiangyu Lu, Yi Zhou, Yangshuang Xu and 1 more

Abstract read
In one paragraph

Article in BMC nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Domestication of a WildJournal of fungi (Basel, Switzerland) · 2026
    Article
  4. Review
  5. 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

11 authors.

Ruicong Wu *Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Xinyou Zhang *Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Haoyu Qin *Jiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Xinyi XiaJiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Fangfang YiJiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Yu ZhangJiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Ruihang ZhangJiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Xiangyu LuJiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Yi ZhouJiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Yangshuang XuJiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Minmin HuJiangsu Key Laboratory of Immunity and Metabolism, Jiangsu International Laboratory of Immunity and Metabolism, Department of Pathogen Biology and Immunology, School of Basic Medical Sciences, Xuzhou Medical University, Xuzhou, 221004, China. 15952083695@163.com.

Funding

the Jiangsu Training Program of Innovation and Entrepreneurship for Undergraduates 202310313051Z, 202410313058Y, X202510313021the National Demonstration Center for Experimental Basic Medical Science Education (Xuzhou Medical University) Student Science and Technology Innovation Project 2024BMS18the Starting Foundation for Talents of Xuzhou Medical University D2017007
6 · The paper itself

Abstract

backgroundDietary β-glucans from diverse sources exhibit varying prebiotic potentials, yet their comparative impacts on gut microbiota composition and short-chain fatty acid (SCFAs) production remain underexplored.

aimsThis study investigated the effects of three β-glucans-oat, mushroom (Lentinula edodes), and curdlan-on gut microbiota modulation, and SCFA profiles in mice.

methodsForty C57BL/6J mice were fed a low-fat diet supplemented with different β-glucans for 15 weeks. Gut microbiota composition was analyzed via 16S rRNA sequencing, and SCFAs levels were measured.

resultsGut microbiota analysis revealed that oat β-glucan significantly reduced alpha diversity indices (observed species, ACE, and phylogenetic diversity) while increasing beneficial genera such as Prevotellaceae_UCG-001, Ruminiclostridium_5, Butyricicoccus, Ruminiclostridium_6, and Prevotellaceae_NK3B31_group. Oat β-glucan also elevated serum acetate, propionate, and lactate levels, whereas mushroom β-glucan selectively increased butyrate, and curdlan had no impact on SCFAs. Correlation analysis linked these SCFA enhancements to the enrichment of SCFA-producing bacteria (e.g., Ruminococcaceae, Lachnospiraceae).

conclusionsThese findings highlight the source-dependent bioactivity of β-glucans, positioning oat β-glucan as a potent modulator of the gut-brain axis through microbiota-SCFA interactions, with implications for dietary interventions targeting metabolic and cognitive health.

Indexed as

Gut microbiotaMicePrebioticsSCFAsΒ-gulcan

Identifiers

PMID40898307
PMCPMC12406538

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.