Evidence map›Paper›PMID 37254188›Full record

ArticleStem cell research & therapy2023

MiR-146a-5p delivered by hucMSC extracellular vesicles modulates the inflammatory response to sulfur mustard-induced acute lung injury.

Zhipeng Pei, Jinfeng Cen, Xinkang Zhang, Chuchu Gong, Mingxue Sun, Wenqi Meng, Guanchao Mao, Jingjing Wan, Bingyue Hu, Xiaowen He and 3 more

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  16. Therapeutic application of extracellular vesicles in human diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
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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 at 5 institutions in 2 countries.

Zhipeng Pei *Department of Protective Medicine Against Chemical Agents, Faculty of Naval Medicine, Naval Medical University, Shanghai, 200433, China.
Jinfeng Cen *Department of Protective Medicine Against Chemical Agents, Faculty of Naval Medicine, Naval Medical University, Shanghai, 200433, China.
Xinkang Zhang *Department of Protective Medicine Against Chemical Agents, Faculty of Naval Medicine, Naval Medical University, Shanghai, 200433, China.
Chuchu GongDepartment of Protective Medicine Against Chemical Agents, Faculty of Naval Medicine, Naval Medical University, Shanghai, 200433, China.
Mingxue SunDepartment of Protective Medicine Against Chemical Agents, Faculty of Naval Medicine, Naval Medical University, Shanghai, 200433, China.
Wenqi MengDepartment of Protective Medicine Against Chemical Agents, Faculty of Naval Medicine, Naval Medical University, Shanghai, 200433, China.
Guanchao MaoDepartment of Protective Medicine Against Chemical Agents, Faculty of Naval Medicine, Naval Medical University, Shanghai, 200433, China.
Jingjing WanDepartment of Clinical Pharmacy, School of Pharmacy, Naval Medical University, Shanghai, 200433, China.
Bingyue HuSchool of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Xiaowen HeOrigincell Technology Group Co., Ltd., Shanghai, 201203, China.
Qingqiang XuDepartment of Protective Medicine Against Chemical Agents, Faculty of Naval Medicine, Naval Medical University, Shanghai, 200433, China. xuqingqiang1027@126.com.
Hua HanSchool of Medicine, Tongji University, Shanghai, 200092, China. hanhua@tongji.edu.cn.
Kai XiaoDepartment of Protective Medicine Against Chemical Agents, Faculty of Naval Medicine, Naval Medical University, Shanghai, 200433, China. kaixiaocn@163.com.ORCID 0000-0002-5498-9104
Medical Protective · USNaval Medical Research Command · USOriginWater (China) · CNShenyang Pharmaceutical University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSulfur mustard (SM) is a highly toxic chemical warfare agent that has caused numerous casualties during wars and conflicts in the past century. Specific antidotes or therapeutic strategies are rare due to the complicated mechanism of toxicity, which still awaits elucidation. Clinical data show that acute lung injury (ALI) is responsible for most mortality and morbidity after SM exposure. Extracellular vesicles are natural materials that participate in intercellular communication by delivering various substances and can be modified. In this study, we aim to show that extracellular vesicles derived from human umbilical cord mesenchymal stromal cells (hucMSC-EVs) could exert therapeutic effects on SM-induced ALI, and to explain the underlying mechanism of effects.

methodsMiR-146a-5p contained in hucMSC-EVs may be involved in the process of hucMSC-EVs modulating the inflammatory response to SM-induced ALI. We utilized miR-146a-5p delivered by extracellular vesicles and further modified hucMSCs with a miR-146a-5p mimic or inhibitor to collect miR-146a-5p-overexpressing extracellular vesicles (miR-146a-5p

resultsThe effect of miR-146a-5p

conclusionIn summary, miR-146a-5p delivered by hucMSC-EVs targeted TRAF6, causing hucMSC-EVs to exert anti-inflammatory effects in SM-induced ALI; thus, hucMSC-EVs treatment may be a promising clinical therapeutic after SM exposure.

Indexed as

Extracellular VesiclesMicroRNAsMustard GasHumansInflammationTNF Receptor-Associated Factor 6MicroRNAsMustard GasTNF Receptor-Associated Factor 6hucMSC-EVsInflammationmiR-146a-5pSulfur mustardTRAF6

Identifiers

PMID37254188
PMCPMC10227795
OpenAlexW4378783494

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.