Evidence map›Paper›PMID 32649009›Full record

ArticleJournal of cellular and molecular medicine2020

Circulating exosomal long non-coding RNAs in patients with acute myocardial infarction.

Mei-Li Zheng, Xiao-Yan Liu, Rui-Juan Han, Wen Yuan, Kai Sun, Jiu-Chang Zhong, Xin-Chun Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Mei-Li ZhengHeart Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Xiao-Yan LiuHeart Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Rui-Juan HanDepartment of Radiology, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wen YuanMedical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Kai SunDepartment of Radiology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China.
Jiu-Chang ZhongHeart Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-2315-3515
Xin-Chun YangHeart Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-8162-2001
Capital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are attracting considerable interest in the cardiovascular field as the wide range of their functions is recognized in acute myocardial infarction (AMI). However, the regulatory role of exosomal long non-coding RNAs (lncRNAs) in AMI remains largely unclear. Exosomes were isolated from the plasma of AMI patients and controls, and the sequencing profiles and twice qRT-PCR validations of exosomal lncRNAs were performed. A total of 518 differentially expressed lncRNAs were detected over two-fold change, and 6 kinds of lncRNAs were strikingly elevated in AMI patients with top fold change and were selected to perform subsequent validation. In the two validations, lncRNAs ENST00000556899.1 and ENST00000575985.1 were significantly up-regulated in AMI patients compared with controls. ROC curve analysis revealed that circulating exosomal lncRNAs ENST00000556899.1 and ENST00000575985.1 yielded the area under the curve values of 0.661 and 0.751 for AMI, respectively. Moreover, ENST00000575985.1 showed more significant relationship with clinical parameters, including inflammatory biomarkers, prognostic indicators and myocardial damage markers. Multivariate logistic model exhibited positive association of ENST00000575985.1 with the risk of heart failure in AMI patients. In summary, our data demonstrated that circulating exosomal lncRNAs ENST00000556899.1 and ENST00000575985.1 are elevated in patients with AMI, functioning as potential biomarkers for predicting the prognosis of pateints with AMI.

Indexed as

Gene Expression RegulationAcute DiseaseBiomarkersCase-Control StudiesExosomesFemaleFollow-Up StudiesHumansLeukocytes, MononuclearMaleMiddle AgedMyocardial InfarctionPrognosisRNA, Long NoncodingROC CurveBiomarkersRNA, Long Noncodingacute myocardial infarctionbiomarkersexosomal lncRNAsheart failureprognosis

Identifiers

PMID32649009
PMCPMC7417690
OpenAlexW3041442443

What OpenQuestion holds

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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.