Evidence map›Paper›PMID 34332589›Full record

ArticleDiagnostic pathology2021

miR-3113-5p, miR-223-3p, miR-133a-3p, and miR-499a-5p are sensitive biomarkers to diagnose sudden cardiac death.

Fengping Yan, Yuanyuan Chen, Xing Ye, Fu Zhang, Shiquan Wang, Le Zhang, Xiaoting Luo

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
3.0field-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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 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

7 authors at 2 institutions in 1 country.

Fengping Yan *Department of Forensic Medicine, School of Basic Medical Sciences, Gannan Medical University, 1 Yixueyuan Road, Zhanggong District, Ganzhou, Jiangxi, 341000, PR China. tomjiangxi@163.com.
Yuanyuan Chen *Department of Forensic Medicine, School of Basic Medical Sciences, Gannan Medical University, 1 Yixueyuan Road, Zhanggong District, Ganzhou, Jiangxi, 341000, PR China.
Xing YeDepartment of Forensic Medicine, School of Basic Medical Sciences, Gannan Medical University, 1 Yixueyuan Road, Zhanggong District, Ganzhou, Jiangxi, 341000, PR China.
Fu ZhangCriminal Technology Center of Guangdong Province Public Security Bureau, Guangzhou, Guangdong, 510050, PR China.
Shiquan WangDepartment of Forensic Medicine, School of Basic Medical Sciences, Gannan Medical University, 1 Yixueyuan Road, Zhanggong District, Ganzhou, Jiangxi, 341000, PR China.
Le ZhangForensic Science Center of Gannan Medical University, 1 Yixueyuan Road, Zhanggong District, Ganzhou, Jiangxi, 341000, People's Republic of China.
Xiaoting LuoDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Gannan Medical University, 1 Yixueyuan Road, Zhanggong District, Ganzhou, Jiangxi, 341000, PR China. xtluo76@163.com.
Gannan Medical University · CNShanghai Public Security Bureau · CN

Funding

open project of Key Laboratory of Forensic Pathology, Ministry of Public Security GAFYBL201903open project of Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases of Ministry of Education XN201810Research Project of Gannan Medical University XN201924 and YB201811Science and Technology Project of Jiangxi Provincial Department of Education GJJ160979 and GJJ180794
6 · The paper itself

Abstract

backgroundSudden cardiac death (SCD) remains a great health threat and diagnostic challenge, especially those cases without positive autopsy findings. Molecular biomarkers have been urgently needed for the diagnosis of SCD displaying negative autopsy results. Due to their nature of stability, microRNAs (miRNAs) have emerged as promising diagnostic biomarkers for cardiovascular diseases.

methodsThis study investigated whether specific cardio-miRNAs (miR-3113-5p, miR-223-3p, miR-499a-5p, and miR-133a-3p) could serve as potential biomarkers for the diagnosis of SCD. Thirty-four SCD cases were selected, 18 categorized as SCD with negative autopsy (SCD-negative autopsy) findings and 16 as SCD with positive autopsy (SCD-positive autopsy) findings such as coronary atherosclerosis and gross myocardial scar. Carbon monoxide (CO) intoxication (n = 14) and fatal injury death (n = 14) that displayed no pathological changes of myocardium were selected as control group, respectively. Histological analyses were performed to reveal the pathological changes and real-time quantitative polymerase chain reaction (RT-qPCR) was used to determine the expression of those miRNAs.

resultsIt showed that heart samples from the SCD-negative autopsy group displayed no remarkable difference with regard to the expression of cleaved-caspase3, CD31, and CD68 and the extent of fibrotic tissue accumulation when compared with control samples. The four cardio-miRNAs were significantly up-regulated in the SCD samples as compared with control. When discriminating SCD from controls, receiver operating characteristic (ROC) curve analysis revealed that the areas under the curve (AUC) of these 4 miRNAs were from 0.7839 to 0.9043 with sensitivity of 64.71-97.06% and specificity of 70-100%. Moreover, when discriminating the specific causes of SCD, the four miRNA expressions increased in the heart from the SCD-negative autopsy group as relative to that from the SCD-positive autopsy group, and a combination of two miRNAs presented higher diagnostic value (AUC = 0.7407-0.8667).

conclusionmiR-3113-5p, miR-223-3p, miR-499a-5p, and miR-133a-3p may serve as independent diagnostic biomarkers for SCD, and a combination of two of these miRNAs could further discriminate detailed causes of SCD.

Indexed as

Death, Sudden, CardiacAdultAgedArea Under CurveAutopsyBiomarkersCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedMyocardiumReal-Time Polymerase Chain ReactionROC CurveBiomarkersMicroRNAsMIR223, humanMIRN133 microRNA, humanMIRN3113 microRNA, humanMIRN499 microRNA, humanBiomarkersmiRNAMolecular pathologySudden cardiac death

Identifiers

PMID34332589
PMCPMC8325858
OpenAlexW3122027209

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.