Evidence map›Paper›PMID 39563415›Full record

ArticleBiomarker research2024

Global surveillance of circulating microRNA for diagnostic and prognostic assessment of acute myocardial infarction based on the plasma small RNA sequencing.

Xiaomin Wang, Yaojun Lu, Ruiping Zhao, Bing Zhu, Jian Liu, Qiang Yue, Rina Wu, Shuwen Han, Yuanyuan Gao, Juan Chen and 4 more

Abstract read
In one paragraph

Article in Biomarker research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

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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

14 authors.

Xiaomin Wang *Department of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Yaojun Lu *Department of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Ruiping Zhao *Department of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Bing Zhu *Department of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Jian Liu *Dian Diagnostics Group Co., Ltd, Hangzhou, China.
Qiang YueDepartment of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Rina WuDepartment of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Shuwen HanDepartment of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Yuanyuan GaoDepartment of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Juan ChenDepartment of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Jie GongDepartment of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Danna HeDepartment of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China.
Teng XuDepartment of Cardiology/Chest Pain Center, Baotou Central Hospital, Baotou, China. xuteng@wmu.edu.cn.
Jianchao YingWenzhou Key Laboratory of Emergency, Critical Care, and Disaster Medicine/Central Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. yingjc@wmu.edu.cn.

Funding

Joint Foundation of Inner Mongolia Medical University YKD2022LH027Natural Science Foundation of Inner Mongolia Autonomous Region 2020MS08166Natural Science Foundation of Inner Mongolia Autonomous Region 2021MS08043Natural Science Foundation of Inner Mongolia Autonomous Region 2021MS08120Science and Technology Plan Project of Inner Mongolia Autonomous Region 2020GG0292
6 · The paper itself

Abstract

backgroundCirculating microRNAs (miRNAs) are recently a rapidly increasing of interest as non-invasive biomarkers for diagnosis and prognosis of acute myocardial infarction (AMI). Previous studies revealed that several miRNAs exhibited the capacity for diagnosis and prognosis of AMI, the reasons why these circulating miRNAs are concerned as targets for investigation are quite cryptogenic, presumably due to the lack of clues provided by global surveillance at the transcriptome level, and the current data for some miRNAs are controversial and inconsistent among independent studies.

methodsTo comprehensively profiling the potential miRNAs for diagnosis and prognosis of AMI, we reported transcriptomes of circulating miRNAs in the plasma of 27 healthy controls, 64 AMI patients (37 STEMI and 27 NSTEMI) and 20 AMI patients who were subjected to reperfusion therapy. Meanwhile, the cTnI of AMI patients was parallel determined. Differentially-circulated miRNAs were analyzed between each group. All detected circulating miRNAs were examined by ROC analysis and then LASSO dimension reduction to obtain an optimal panel for diagnosis of AMI. A five-year period follow-up towards the AMI and reperfusion patients was performed, and the prognostic value of circulating miRNAs in these patients was estimated by using the Cox regression model, ROC and Kaplan-Meier curves.

resultsComprehensive global differences of miRNAs transcriptome among AMI, reperfusion patients and healthy controls were identified. A total of 40 miRNAs, called high diagnostic performance miRNAs, including several previous well-studied miRNAs with AUC greater than 0.85 were shown to discriminate AMI with healthy controls. In addition, 29 miRNAs were analyzed to be strongly correlated with the plasma cTnI level, of which 20 overlapped with high diagnostic performance miRNAs. These overlapped miRNAs are over-represented in the pathways which actually reflect the pathological cause of myocardial infarction, as well as the regulation of gene expression and energetic pathway of cellular response to hypoxia. Finally, two miRNAs were analyzed to be significantly correlated to all-cause mortality.

conclusionThis is the first time to survey plasma miRNAs for the development of AMI diagnostic and prognostic biomarkers at the transcriptome level. A subset of miRNAs exhibited potential diagnostic and prognostic merits for AMI.

Indexed as

Acute myocardial infarctionCirculating microRNADiagnostic biomarker

Identifiers

PMID39563415
PMCPMC11577892

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