Evidence map›Paper›PMID 31285872›Full record

ArticleJournal of thoracic disease2019

Circulating miR-182-5p and miR-5187-5p as biomarkers for the diagnosis of unprotected left main coronary artery disease.

Lingping Zhu, Tong Chen, Wenrui Ye, Jun-Yao Wang, Ji-Peng Zhou, Zhen-Yu Li, Chuan-Chang Li

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Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

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24citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Role of miR-182 in cardiovascular and cerebrovascular diseases.Frontiers in cell and developmental biology · 2023
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  16. miRNAs derived from plasma small extracellular vesicles predict organo-tropic metastasis of gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2022
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lingping ZhuDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha 410008, China.
Tong ChenDepartment of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha 410008, China.
Wenrui YeDepartment of Pediatrics-Cardiology, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA.
Jun-Yao WangDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha 410008, China.
Ji-Peng ZhouDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha 410008, China.
Zhen-Yu LiDepartment of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha 410008, China.
Chuan-Chang LiDepartment of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha 410008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with unprotected left main coronary artery disease (uLMCAD) have high mortality rate due to sudden heart failure and acute myocardial infarction, for which reliable diagnostic biomarkers to detect this disease at an early stage are in urgent need. Circulating microRNAs (miRNAs) have emerged as a class of novel biomarkers for cardiovascular diseases. The purpose of this study was to investigate utility of miRNAs as biomarkers for early detection of uLMCAD.

methodsHigh-throughput sequencing (NGS) was initially employed to compare circulating miRNA expression profiles in uLMCAD patients to that in patients without coronary artery disease (CAD) to identify candidate miRNA biomarkers. We further validated the expression of candidate miRNAs by quantitative polymerase chain reaction (qPCR) in a larger cohort. Receiver operating characteristic (ROC) analysis with multivariate logistic regression was used to evaluate the diagnostic power of candidate miRNAs individually and combined.

resultsMiR-182-5p, miR-199a-5p and miR-5187-5p were found significantly differentially expressed through NGS (fold changes =1.35, 1.65, 0.5, P values =0.018, 0.046, 0.030, respectively, n=5 for both uLMCAD group and non-CAD control group). In a larger cohort (n=27 for uLMCAD patient and n=38 for non-CAD controls), qPCR confirmed that expression of miR-182-5p was up-regulated (2.57-fold, P=0.011) and expression of miR-5187-5p was down-regulated (0.47-fold, P=0.018) in the plasma of uLMCAD patients. ROC analysis with multivariate logistic regression show that miR-182 and miR-5187 have an AUC score of 0.97 and 0.94 respectively, indicating high diagnostic power as biomarkers for uLMCAD. Interestingly, correlation analysis suggests that the expression of two miRNAs were independent to each other.

conclusionsThese results suggested that circulating miR-182-5p and miR-5187-5p were suitable diagnostic biomarkers for uLMCAD, both potentially providing diagnostic information for discriminating uLMCAD patients from non-CAD population prior to invasive diagnostic coronary angiography (CAG).

Indexed as

diagnostic biomarkermiR-182-5pmiR-5187-5pUnprotected left main coronary artery disease (uLMCAD)

Identifiers

PMID31285872
PMCPMC6588770

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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.