Evidence map›Paper›PMID 41580415›Full record

ArticleNPJ biofilms and microbiomes2026

Dietary fiber deficiency exacerbates intestinal inflammation via miR-6240-enriched gut extracellular vesicles.

Mengzhen Song, Wenjun Zhou, Jinping Fan, Demin Cai, Hong Wei, Shiyu Tao

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Mengzhen SongCollege of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China.
Wenjun ZhouCollege of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China.
Jinping FanCollege of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China.
Demin CaiLaboratory of Animal Physiology and Molecular Nutrition, College of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Hong WeiCollege of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China.
Shiyu TaoCollege of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China. sytao@mail.hzau.edu.cn.

Funding

National Key Research and Development Program 2022YFA1304104National Nature Science Foundation of China 32272898
6 · The paper itself

Abstract

Emerging evidence underscores the critical role of dietary fiber in maintaining gut homeostasis. While extracellular vesicles (EVs) have recently gained attention as key mediators of host-microbe communication, their functional contribution to fiber deficiency-associated pathologies remains largely unexplored. In this study, we revealed that a fiber-free diet induces significant intestinal inflammatory damage in mice, an effect that can be faithfully reproduced through fecal microbiota transplantation. Importantly, we demonstrated that intestinal epithelial cells-derived EVs from fiber-deprived mice are sufficient to recapitulate the detrimental effects of fiber deficiency. Mechanistic studies revealed enrichment of miR-6240 in these EVs, which targeted the 3'UTR of STAT6 mRNA to suppress its expression. This impairment of STAT6 signaling inhibited M2 macrophage polarization, exacerbating intestinal inflammation. This novel pathway is further validated in primary macrophage adoptive transfer experiments. Our work unveils a previously unrecognized mechanism by which fiber deficiency exacerbates intestinal inflammation through IECs-derived EVs and miR-6240/STAT6-mediated macrophage dysfunction.

Identifiers

PMID41580415
PMCPMC12936180

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.