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A circulating miRNA signature for early diagnosis of acute kidney injury following acute myocardial infarction

BACKGROUND: Acute kidney injury (AKI) is a common complication of acute myocardial infarction (AMI), and is associated with adverse outcomes. The study aimed to identify a miRNA signature for the early diagnosis of post-AMI AKI. METHODS: A total of 108 patients admitted to a coronary care unit (CCU)...

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Autores principales: Fan, Pei-Chun, Chen, Chia-Chun, Peng, Chen-Ching, Chang, Chih-Hsiang, Yang, Chia-Hung, Yang, Chi, Chu, Lichieh Julie, Chen, Yung-Chang, Yang, Chih-Wei, Chang, Yu-Sun, Chu, Pao-Hsien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492315/
https://www.ncbi.nlm.nih.gov/pubmed/31039814
http://dx.doi.org/10.1186/s12967-019-1890-7
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author Fan, Pei-Chun
Chen, Chia-Chun
Peng, Chen-Ching
Chang, Chih-Hsiang
Yang, Chia-Hung
Yang, Chi
Chu, Lichieh Julie
Chen, Yung-Chang
Yang, Chih-Wei
Chang, Yu-Sun
Chu, Pao-Hsien
author_facet Fan, Pei-Chun
Chen, Chia-Chun
Peng, Chen-Ching
Chang, Chih-Hsiang
Yang, Chia-Hung
Yang, Chi
Chu, Lichieh Julie
Chen, Yung-Chang
Yang, Chih-Wei
Chang, Yu-Sun
Chu, Pao-Hsien
author_sort Fan, Pei-Chun
collection PubMed
description BACKGROUND: Acute kidney injury (AKI) is a common complication of acute myocardial infarction (AMI), and is associated with adverse outcomes. The study aimed to identify a miRNA signature for the early diagnosis of post-AMI AKI. METHODS: A total of 108 patients admitted to a coronary care unit (CCU) were divided into four subgroups: AMI(−)AKI(−), AMI(+)AKI(−), AMI(+)AKI(+), and AMI(−)AKI(+). Thirty-six miRNA candidates were selected based on an extensive literature review. Real-time quantitative RT-PCR analysis was used to determine the expression levels of these miRNAs in the serum collected on the day of CCU admittance. TargetScan 7.1 and miRDB databases were used for target prediction and Metacore 6.13 was used for pathway analysis. RESULTS: Through a stepwise selection based on abundance, hemolytic effect and differential expression between four groups, 9 miRNAs were found to have significantly differential expression levels as potential biomarkers for post-AMI AKI specifically. Noticeably, the expression levels of miR-24, miR-23a and miR-145 were significantly down-regulated in AMI(+)AKI(+) patients compared to those in AMI(+)AKI(−) patients. Combination of the three miRNAs as a panel showed the best performance in the early detection of AKI following AMI (AUC = 0.853, sensitivity 95.65%), compared to the analysis of serum neutrophil gelatinase-associated lipocalin (AUC = 0.735, sensitivity 63.16%). Furthermore, bioinformatic analysis indicated that these three miRNAs regulate the transforming growth factor beta signaling pathway and involve in apoptosis and fibrosis in AKI. CONCLUSIONS: For the first time, this study identify a unique circulating miRNA signature (miR-24-3p, miR-23a-3p, miR-145-5p) that can potentially early detect AKI following AMI and may be involved in renal injury and fibrosis in post-AMI AKI pathogenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-019-1890-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-64923152019-05-06 A circulating miRNA signature for early diagnosis of acute kidney injury following acute myocardial infarction Fan, Pei-Chun Chen, Chia-Chun Peng, Chen-Ching Chang, Chih-Hsiang Yang, Chia-Hung Yang, Chi Chu, Lichieh Julie Chen, Yung-Chang Yang, Chih-Wei Chang, Yu-Sun Chu, Pao-Hsien J Transl Med Research BACKGROUND: Acute kidney injury (AKI) is a common complication of acute myocardial infarction (AMI), and is associated with adverse outcomes. The study aimed to identify a miRNA signature for the early diagnosis of post-AMI AKI. METHODS: A total of 108 patients admitted to a coronary care unit (CCU) were divided into four subgroups: AMI(−)AKI(−), AMI(+)AKI(−), AMI(+)AKI(+), and AMI(−)AKI(+). Thirty-six miRNA candidates were selected based on an extensive literature review. Real-time quantitative RT-PCR analysis was used to determine the expression levels of these miRNAs in the serum collected on the day of CCU admittance. TargetScan 7.1 and miRDB databases were used for target prediction and Metacore 6.13 was used for pathway analysis. RESULTS: Through a stepwise selection based on abundance, hemolytic effect and differential expression between four groups, 9 miRNAs were found to have significantly differential expression levels as potential biomarkers for post-AMI AKI specifically. Noticeably, the expression levels of miR-24, miR-23a and miR-145 were significantly down-regulated in AMI(+)AKI(+) patients compared to those in AMI(+)AKI(−) patients. Combination of the three miRNAs as a panel showed the best performance in the early detection of AKI following AMI (AUC = 0.853, sensitivity 95.65%), compared to the analysis of serum neutrophil gelatinase-associated lipocalin (AUC = 0.735, sensitivity 63.16%). Furthermore, bioinformatic analysis indicated that these three miRNAs regulate the transforming growth factor beta signaling pathway and involve in apoptosis and fibrosis in AKI. CONCLUSIONS: For the first time, this study identify a unique circulating miRNA signature (miR-24-3p, miR-23a-3p, miR-145-5p) that can potentially early detect AKI following AMI and may be involved in renal injury and fibrosis in post-AMI AKI pathogenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-019-1890-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-30 /pmc/articles/PMC6492315/ /pubmed/31039814 http://dx.doi.org/10.1186/s12967-019-1890-7 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Fan, Pei-Chun
Chen, Chia-Chun
Peng, Chen-Ching
Chang, Chih-Hsiang
Yang, Chia-Hung
Yang, Chi
Chu, Lichieh Julie
Chen, Yung-Chang
Yang, Chih-Wei
Chang, Yu-Sun
Chu, Pao-Hsien
A circulating miRNA signature for early diagnosis of acute kidney injury following acute myocardial infarction
title A circulating miRNA signature for early diagnosis of acute kidney injury following acute myocardial infarction
title_full A circulating miRNA signature for early diagnosis of acute kidney injury following acute myocardial infarction
title_fullStr A circulating miRNA signature for early diagnosis of acute kidney injury following acute myocardial infarction
title_full_unstemmed A circulating miRNA signature for early diagnosis of acute kidney injury following acute myocardial infarction
title_short A circulating miRNA signature for early diagnosis of acute kidney injury following acute myocardial infarction
title_sort circulating mirna signature for early diagnosis of acute kidney injury following acute myocardial infarction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492315/
https://www.ncbi.nlm.nih.gov/pubmed/31039814
http://dx.doi.org/10.1186/s12967-019-1890-7
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