Evidence map›Paper›PMID 29858047›Full record

ArticleMolecular therapy. Nucleic acids2018

miR-93-5p-Containing Exosomes Treatment Attenuates Acute Myocardial Infarction-Induced Myocardial Damage.

Jiwen Liu, Mei Jiang, Shengqiong Deng, Jide Lu, Hui Huang, Yu Zhang, Peihua Gong, Xumin Shen, Huanjun Ruan, Mingming Jin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 2 pooled it
9.4field-weighted citation impact, top 1% 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

143 citing papers in PubMed, 2 syntheses or guidelines pooled it, 200 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Kidney-heart crosstalk: the extracellular vesicles connection.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
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  14. Article
  15. Article
  16. Circulating Extracellular Vesicles in Cardiovascular Disease.International journal of molecular sciences · 2025
    Review
  17. Review
  18. Review
  19. Review
  20. Article

83 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Jiwen LiuDepartment of Cardiology, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China.
Mei JiangDepartment of Neurology, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China.
Shengqiong DengDepartment of Clinical Laboratory, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China.
Jide LuDepartment of Cardiology, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China.
Hui HuangDepartment of Cardiology, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China.
Yu ZhangDepartment of Cardiology, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China.
Peihua GongDepartment of Cardiology, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China.
Xumin ShenDepartment of Cardiology, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China.
Huanjun RuanDepartment of Cardiology, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China.
Mingming JinDepartment of Central Laboratory, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China. Electronic address: asdjinmingming@126.com.
Hairong WangDepartment of Cardiology, Shanghai Gongli Hospital, The Second Military Medical University, Shanghai 200135, China. Electronic address: hairong19@yahoo.com.
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose-derived stromal cells (ADSCs) have been considered as an attractive therapeutic tool. Accumulating evidence indicates that the healing effects of ADSCs are mainly related to paracrine action rather than transdifferentiation. Data show that the expression of miR-93-5p has a cardio-protective effect after acute myocardial infarction (AMI). To identify whether miR-93-5p-encapsulating exosomes that form ADSCs have a better cardio-protective effect, we investigated the inflammatory factors and miR-30d-5p expression in clinical levels. A rat model of AMI and an in vitro model of hypoxic H9c2 cells were established to study the protective mechanism of miR-93-5p in ischemia-induced cardiac injury. The results show that the expression of inflammatory cytokines and miR-93-5p were increased following AMI in both patients and animal models. Moreover, treatment with ADSC-derived miR-93-5p-containing exosomes has a greater protective effect on infarction-induced myocardial damage than simple exosome processing. Furthermore, in vitro experiments confirmed that the expression of miR-93-5p can significantly suppress hypoxia-induced autophagy and inflammatory cytokine expression by targeting Atg7 and Toll-like receptor 4 (TLR4), respectively, and was confirmed with Atg7 or TLR4 overexpression. The results also show that autophagy activation can promote inflammatory cytokine expression indirectly. Taken together, these results suggest that the miR-93-5p-enhanced ADSC-derived exosomes prevent cardiac injury by inhibiting autophagy and the inflammatory response.

Indexed as

acute myocardial infarctionautophagyexosomesinflammationmiR-93-5p

Identifiers

PMID29858047
PMCPMC5852413
OpenAlexW2786389710

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.