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The biomarkers of key miRNAs and target genes associated with acute myocardial infarction

BACKGROUND: Acute myocardial infarction (AMI) is considered one of the most prominent causes of death from cardiovascular disease worldwide. Knowledge of the molecular mechanisms underlying AMI remains limited. Accurate biomarkers are needed to predict the risk of AMI and would be beneficial for man...

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Autores principales: Wang, Qi, Liu, Bingyan, Wang, Yuanyong, Bai, Baochen, Yu, Tao, Chu, Xian–ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229769/
https://www.ncbi.nlm.nih.gov/pubmed/32440375
http://dx.doi.org/10.7717/peerj.9129
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author Wang, Qi
Liu, Bingyan
Wang, Yuanyong
Bai, Baochen
Yu, Tao
Chu, Xian–ming
author_facet Wang, Qi
Liu, Bingyan
Wang, Yuanyong
Bai, Baochen
Yu, Tao
Chu, Xian–ming
author_sort Wang, Qi
collection PubMed
description BACKGROUND: Acute myocardial infarction (AMI) is considered one of the most prominent causes of death from cardiovascular disease worldwide. Knowledge of the molecular mechanisms underlying AMI remains limited. Accurate biomarkers are needed to predict the risk of AMI and would be beneficial for managing the incidence rate. The gold standard for the diagnosis of AMI, the cardiac troponin T (cTnT) assay, requires serial testing, and the timing of measurement with respect to symptoms affects the results. As attractive candidate diagnostic biomarkers in AMI, circulating microRNAs (miRNAs) are easily detectable, generally stable and tissue specific. METHODS: The Gene Expression Omnibus (GEO) database was used to compare miRNA expression between AMI and control samples, and the interactions between miRNAs and mRNAs were analysed for expression and function. Furthermore, a protein-protein interaction (PPI) network was constructed. The miRNAs identified in the bioinformatic analysis were verified by RT-qPCR in an H9C2 cell line. The miRNAs in plasma samples from patients with AMI (n = 11) and healthy controls (n = 11) were used to construct receiver operating characteristic (ROC) curves to evaluate the clinical prognostic value of the identified miRNAs. RESULTS: We identified eight novel miRNAs as potential candidate diagnostic biomarkers for patients with AMI. In addition, the predicted target genes provide insight into the molecular mechanisms underlying AMI.
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spelling pubmed-72297692020-05-21 The biomarkers of key miRNAs and target genes associated with acute myocardial infarction Wang, Qi Liu, Bingyan Wang, Yuanyong Bai, Baochen Yu, Tao Chu, Xian–ming PeerJ Bioinformatics BACKGROUND: Acute myocardial infarction (AMI) is considered one of the most prominent causes of death from cardiovascular disease worldwide. Knowledge of the molecular mechanisms underlying AMI remains limited. Accurate biomarkers are needed to predict the risk of AMI and would be beneficial for managing the incidence rate. The gold standard for the diagnosis of AMI, the cardiac troponin T (cTnT) assay, requires serial testing, and the timing of measurement with respect to symptoms affects the results. As attractive candidate diagnostic biomarkers in AMI, circulating microRNAs (miRNAs) are easily detectable, generally stable and tissue specific. METHODS: The Gene Expression Omnibus (GEO) database was used to compare miRNA expression between AMI and control samples, and the interactions between miRNAs and mRNAs were analysed for expression and function. Furthermore, a protein-protein interaction (PPI) network was constructed. The miRNAs identified in the bioinformatic analysis were verified by RT-qPCR in an H9C2 cell line. The miRNAs in plasma samples from patients with AMI (n = 11) and healthy controls (n = 11) were used to construct receiver operating characteristic (ROC) curves to evaluate the clinical prognostic value of the identified miRNAs. RESULTS: We identified eight novel miRNAs as potential candidate diagnostic biomarkers for patients with AMI. In addition, the predicted target genes provide insight into the molecular mechanisms underlying AMI. PeerJ Inc. 2020-05-13 /pmc/articles/PMC7229769/ /pubmed/32440375 http://dx.doi.org/10.7717/peerj.9129 Text en ©2020 Wang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Wang, Qi
Liu, Bingyan
Wang, Yuanyong
Bai, Baochen
Yu, Tao
Chu, Xian–ming
The biomarkers of key miRNAs and target genes associated with acute myocardial infarction
title The biomarkers of key miRNAs and target genes associated with acute myocardial infarction
title_full The biomarkers of key miRNAs and target genes associated with acute myocardial infarction
title_fullStr The biomarkers of key miRNAs and target genes associated with acute myocardial infarction
title_full_unstemmed The biomarkers of key miRNAs and target genes associated with acute myocardial infarction
title_short The biomarkers of key miRNAs and target genes associated with acute myocardial infarction
title_sort biomarkers of key mirnas and target genes associated with acute myocardial infarction
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229769/
https://www.ncbi.nlm.nih.gov/pubmed/32440375
http://dx.doi.org/10.7717/peerj.9129
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