Evidence map›Paper›PMID 31721304›Full record

ArticleJournal of clinical laboratory analysis2020

Expression profiling and bioinformatics analysis of circulating microRNAs in patients with acute myocardial infarction.

Zhixiong Zhong, Heming Wu, Wei Zhong, Qifeng Zhang, Zhikang Yu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

20 citing papers in PubMed, 29 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

5 authors at 1 institution in 1 country.

Zhixiong ZhongCenter for Cardiovascular Diseases, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.
Heming WuGuangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.ORCID https://orcid.org/0000-0001-9496-1897
Wei ZhongCenter for Cardiovascular Diseases, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.
Qifeng ZhangCenter for Cardiovascular Diseases, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.
Zhikang YuGuangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.
Sun Yat-sen University · CN

Funding

Key Scientific and Technological Project of Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Guangdong Province, China MPHKSTP-20170101Key Scientific and Technological Project of Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Guangdong Province, China MPHKSTP-20180101
6 · The paper itself

Abstract

objectiveAcute Myocardial Infarction (AMI) is the most severe type of coronary atherosclerotic heart diseases. MiRNA is a class of endogenous noncoding small molecule RNA, which plays an important regulatory role in the development of some diseases.

methodsWe examined the miRNA expression profiles in 16 patients with AMI compared with 6 non-AMI controls using RNA sequencing.

resultsCompared with the miRNA expression profiles of non-AMI controls, a total of 181 differentially expressed miRNAs were discriminated in AMI patients, of which 96 upregulated miRNAs and 85 downregulated miRNAs. The top ten upregulated miRNAs were as follows: miR-449a-5p, miR-126-5p, miR-93-5p, miR-199a-3p, miR-4454, miR-6880-3p, miR-3135a, miR-548ad-5p, miR-4508, and miR-556-5p; while the top ten downregulated were as follows: miR-6805-5p, miR-1228-5p, miR-939-5p, miR-615-3p, miR-6780a-5p, miR-6857-3p, miR-5088-55p, miR-7155-3p, miR-184, and miR-4525. And the qRT-PCR results of differentially expressed miRNAs showed the same result as high-throughput sequencing data. For these 181 differentially expressed miRNAs, 19 841 target genes were predicted by GO analysis. The enrichment analysis revealed 2061 involved in biological processes, 353 in molecular function and 303 in cellular components. To identify biological pathways in AMI as compared to non-AMI, the target genes of differentially expressed miRNAs were mapped to the classical signal transduction pathway in KEGG, indicating that 214 classes were enriched. ROC analysis showed that the circulating miRNAs had the important value for AMI diagnosis and supported the previous conclusions that circulating miRNAs were effective to diagnose the AMI as a novel biomarker.

conclusionsOur findings require further research to confirm. It may provide a meaningful reference for the diagnosis and treatment of AMI.

Indexed as

Computational BiologyGene Expression ProfilingArea Under CurveCirculating MicroRNACluster AnalysisDown-RegulationFemaleGene OntologyHumansMaleMiddle AgedMyocardial InfarctionPredictive Value of TestsReproducibility of ResultsROC CurveUp-RegulationCirculating MicroRNAacute myocardial infarctionbiomarkerexpression profilesmicroRNARNA sequencing

Identifiers

PMID31721304
PMCPMC7083511
OpenAlexW2989026154

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.