Evidence map›Paper›PMID 42432695›Full record

ArticleJournal of nanobiotechnology2026

Extremophyte-derived exosome-like nanovesicles remodel intestinal barrier dysfunction by multi-dimensional intervention: physical barrier repair with immune homeostasis and microbiome regulation.

Dan Li, Linqian Du, Gaoyang Yi, Tao Liang, Adam C Midgley, Guowei Shu, Yujuan He, Yaqin Dong, Guoliang Li, Xiaolin Yao

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  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

10 authors.

Dan LiSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, PR China.
Linqian DuSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, PR China.
Gaoyang YiSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, PR China.
Tao LiangSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, PR China.
Adam C MidgleyKey Laboratory of Bioactive Materials, College of Life Sciences, Ministry of Education, Nankai University, Tianjin, 300071, China.
Guowei ShuSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, PR China.
Yujuan HeSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, PR China.
Yaqin DongSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, PR China.
Guoliang LiSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, PR China.
Xiaolin YaoSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, PR China. yaoxiaolin1113@163.com.

Funding

National Natural Science Foundation of China 32302276National Natural Science Foundation of China 32472493The Shaanxi Science and Technology association 2023GXLH-078The Shaanxi Science and Technology association 2024JC-JCQN-23
6 · The paper itself

Abstract

backgroundIntestinal barrier is the body's largest immune structure and essential for nutrient absorption. Its dysfunction allows the translocation of pathogenic substances into circulation, thereby driving the pathogenesis of inflammatory bowel disease (IBD). Plant-derived exosome-like nanovesicles (ELNs), recognized for their biocompatibility and ability to traverse biological barriers, hold considerable potential for managing intestinal inflammation. Specially, plants cultivated under extreme environmental conditions typically adapt to be stress resistant with greater accumulation of associated biologics, which may in-turn confer unique bioactivities to their respective ELNs.

resultsThis study investigated the protective effects and mechanisms of ELNs derived from the extremophyte Rosa roxburghii (R-ELNs) and Artemisia sphaerocephala Krasch (A-ELNs) against intestinal barrier dysfunction. In vitro and in vivo studies indicated that the ELNs, especially R-ELNs, provided enhanced protection against intestinal barrier dysfunction. Specifically, mucus secretion and tight junction protein expression were promoted, and macrophages were polarized toward M2 anti-inflammatory phenotypes. Furthermore, R-ELNs modulated the composition of the intestinal microbiota, thereby promoting a balanced microecological environment. Importantly, the protective effect of R-ELNs was suggested to be through an inhibitory effect on excessive activation of pro-inflammatory signaling proteins (AKT, p38). Notably, exosomes (Exos) derived from R-ELN-treated M2 macrophages had distinct miRNA profiles that can target inflammatory pathway genes (Tgfbr1, Map3k7, Met), enabling anti-inflammatory roles via intercellular communication.

conclusionsThese findings suggested that R-ELNs can restore intestinal barrier dysfunction via multiple synergistic mechanisms, positioning R-ELNs as a novel and promising preventive strategy for inflammatory bowel disease.

Indexed as

ArtemisiaExosomesGastrointestinal MicrobiomeIntestinal MucosaAnimalsHomeostasisHumansInflammatory Bowel DiseasesIntestinal Barrier FunctionMacrophagesMiceExtremophyte-derived exosome-like nanovesiclesImmune homeostasisIntestinal barrier dysfunctionMicrobiome regulationPhysical barrier repairRosa roxburghii

Identifiers

PMID42432695
PMCPMC13637334

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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.