Evidence map›Paper›PMID 31489700›Full record

ArticleJournal of clinical laboratory analysis2020

Circulating microRNA expression profiling and bioinformatics analysis of patients with coronary artery disease by RNA sequencing.

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

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

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  14. A review on the role of miR-671 in human disorders.Frontiers in molecular biosciences · 2022
    Review
  15. Genomic Variants and Multilevel Regulation ofJournal of cardiovascular development and disease · 2021
    Review
  16. Article
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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

6 authors at 1 institution in 2 countries.

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.ORCID https://orcid.org/0000-0002-3200-3105
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.
Qunji ZhangGuangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou, China.
Zhikang YuGuangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou, China.
Heming WuGuangdong Provincial Key Laboratory of Precision Medicine, Clinical and Translational Research in Hakka Population, Meizhou, China.ORCID https://orcid.org/0000-0002-1876-9585
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

backgroundMicroRNAs play a vital role in coronary artery disease. Abnormal expression of microRNAs has been found to be associated with the occurrence of CAD.

methodsWe identified significantly differentially expressed microRNAs in plasma between 40 patients with CAD and 10 controls with NCA using RNA sequencing. The differentially expressed microRNAs were analyzed for Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment.

resultsFifty cDNA libraries were constructed and sequenced, and a total of 1871.82 M raw reads were obtained, and 2135 microRNAs were found. Compared to the expressed microRNAs of NCA controls, 159 microRNAs were differentially expressed in CAD patients, including 119 upregulated microRNAs and 40 downregulated microRNAs. The top 10 upregulated miRNAs were miR-144-3p, miR-34a-5p, miR-15b-3p, miR-22-3p, miR-29b-3p, miR-1270, miR-6891-5p, miR-106a-5p, miR-15b-5p, and hsa-miR-499b-3p. The top ten downregulated miRNAs were miR-4437, miR-6842-3p, miR-4664-3p, miR-671-3p, miR-219a-1-3p, miR-7848-3p, miR-664a-3p, miR-1284, miR-361-3p, and miR-6780a-5p. The target genes of differentially expressed microRNAs were related to many basic biological terms, such as biological process, cellular component, and molecular function. According to the KEGG pathway analysis, the most enriched pathways of the differentially expressed microRNAs were endocytosis, focal adhesion, axon guidance, and so on. Furthermore, six upregulated and two downregulated microRNAs were detected by qRT-PCR (Quantitative Real-time PCR) and ROC analysis for diagnosing CAD.

conclusionThe results suggest that the expression levels of some microRNAs may play a vital role in the physiological and pathological course of CAD. Our study may provide useful information for the diagnosis and treatment of CAD.

Indexed as

Computational BiologyGene Expression ProfilingGene Expression RegulationSequence Analysis, RNACase-Control StudiesCirculating MicroRNACoronary Artery DiseaseFemaleGene OntologyHumansMaleMiddle AgedReproducibility of ResultsROC CurveUp-RegulationCirculating MicroRNAChinesecirculating microRNAcoronary artery diseaseexpression profilesHakka

Identifiers

PMID31489700
PMCPMC6977390
OpenAlexW2971971174

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.