Evidence map›Paper›PMID 39773662›Full record

ArticleStem cell research & therapy2025

Mesenchymal stromal cell-derived extracellular vesicles as nanotherapeutics for concanavalin a-induced hepatitis: modulating the gut‒liver axis.

Fan Yang, Beibei Ni, Xiaoqi Liang, Yizhan He, Chao Yuan, Jiajie Chu, Yiju Huang, Hongyu Zhong, Li Yang, Jianxi Lu and 3 more

Abstract read
In one paragraph

Article in Stem cell research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Experimental Models of Autoimmune Hepatitis: Disease Fidelity and Translational Relevance.Liver international : official journal of the International Association for the Study of the Liver · 2026
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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

13 authors.

Fan Yang *Biotherapy Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China.
Beibei Ni *Cell-Gene Therapy Translational Medicine Research Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China.
Xiaoqi Liang *Cell-Gene Therapy Translational Medicine Research Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China.
Yizhan HeDepartment of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University Zhaoqing hospital, Zhaoqing, 526070, P.R. China.
Chao YuanGeneral practice, Guangdong provincial people's hospital, Guangzhou, 510080, P.R. China.
Jiajie ChuCell-Gene Therapy Translational Medicine Research Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China.
Yiju HuangCell-Gene Therapy Translational Medicine Research Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China.
Hongyu ZhongCell-Gene Therapy Translational Medicine Research Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China.
Li YangBiotherapy Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China.
Jianxi LuBiotherapy Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China.
Yan XuBiotherapy Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China. xuyan55@mail.sysu.edu.cn.
Qi ZhangBiotherapy Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China. zhangq27@mail.sysu.edu.cn.
Wenjie ChenBiotherapy Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, P.R. China. chenwj5@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-1659-4918

Funding

China Postdoctoral Science Foundation 2019M653904XBGuangzhou Science and Technology Planning Project 202102010310Kashgar Prefecture Science and Technology Planning Project KS2023013National Natural Science Foundation of China 82170674National Natural Science Foundation of China 82260110National Natural Science Foundation of China 82425010National Natural Science Foundation of China 82460130Natural Science Foundation of Guangdong Province 2024A1515013044Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province KSYJ2022002
6 · The paper itself

Abstract

backgroundAs cell-free nanotherapeutics, extracellular vesicles derived from mesenchymal stem cells (MSC-EVs) have shown potential therapeutic action against liver diseases. However, their effects on autoimmune hepatitis (AIH) are not yet well understood. METHODS AND

resultsIn this study, we utilized a well-established concanavalin A (Con A)-induced fulminant hepatitis mouse model to investigate the effects of MSC-EVs on AIH. We found that MSC-EVs provide significant protection against Con A-induced hepatitis in C57BL/6 male mice, with their effectiveness being critically dependent on the gut microbiota. MSC-EVs modulate the composition of the gut microbiota, particularly by increasing the abundance of norank_f__Muribaculaceae, and impact liver metabolic profiles, leading to significant amelioration of liver injury. The identification of Acetyl-DL-Valine as a protective metabolite underscores the therapeutic potential of targeting gut‒liver axis interactions in liver diseases.

conclusionOverall, our data demonstrate that MSC-EVs exhibit nanotherapeutic potential in Con A-induced hepatitis and provide new insights into the treatment of autoimmune hepatitis.

Indexed as

Concanavalin AExtracellular VesiclesHepatitis, AutoimmuneLiverMesenchymal Stem CellsMice, Inbred C57BLAnimalsDisease Models, AnimalGastrointestinal MicrobiomeMaleMiceConcanavalin ACon A-induced hepatitisExtracellular vesiclesGut microbiotaMesenchymal stromal cells

Identifiers

PMID39773662
PMCPMC11706160

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.