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miRNAs as biomarkers for diagnosis of heart failure: A systematic review and meta-analysis

BACKGROUND: With the rapid development of molecular biology, the kind of mircoRNA (miRNA) has been introduced into emerging role both in cardiac development and pathological procedure. Thus, we conduct this meta-analysis to find out the role of circulating miRNA as a biomarker in detecting heart fai...

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Autores principales: Yan, Hualin, Ma, Fan, Zhang, Yi, Wang, Chuan, Qiu, Dajian, Zhou, Kaiyu, Hua, Yimin, Li, Yifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459698/
https://www.ncbi.nlm.nih.gov/pubmed/28562533
http://dx.doi.org/10.1097/MD.0000000000006825
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author Yan, Hualin
Ma, Fan
Zhang, Yi
Wang, Chuan
Qiu, Dajian
Zhou, Kaiyu
Hua, Yimin
Li, Yifei
author_facet Yan, Hualin
Ma, Fan
Zhang, Yi
Wang, Chuan
Qiu, Dajian
Zhou, Kaiyu
Hua, Yimin
Li, Yifei
author_sort Yan, Hualin
collection PubMed
description BACKGROUND: With the rapid development of molecular biology, the kind of mircoRNA (miRNA) has been introduced into emerging role both in cardiac development and pathological procedure. Thus, we conduct this meta-analysis to find out the role of circulating miRNA as a biomarker in detecting heart failure. METHODS: We searched PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, and World Health Organization clinical trials registry center to identify relevant studies up to August 2016. We performed meta-analysis in a fixed/random-effect model using Meta-disc 1.4. We used STATA 14.0 to estimate the publication bias and meta-regression. Besides, we took use of SPSS 17.0 to evaluate variance between several groups. Information on true positive, false positive, false negative, and true negative, as well as the quality of research was extracted. RESULTS: We use results from 10 articles to analyze the pooled accuracy. The overall performance of total mixed miRNAs (TmiRs) detection was: pooled sensitivity, 0.74 (95% confidence interval [CI], 0.72 to 0.75); pooled specificity, 0.69 (95%CI, 0.67 to 0.71); and area under the summary receiver operating characteristic curves value (SROC), 0.7991. The miRNA-423-5p (miR-423-5p) detection was: pooled sensitivity, 0.81 (95%CI, 0.76 to 0.85); pooled specificity, 0.67 (95%CI, 0.61 to 0.73); and SROC, 0.8600. However, taken the same patients population, we extracted the data of BNP for detecting heart failure and performed meta-analysis with acceptable SROC as 0.9291. Among the variance analysis, the diagnostic performance of miR-423-5p claimed significant advantages of other pooled results. However, the combination of miRNAs and BNP could increase the accuracy of detecting of heart failure. Unfortunately, there was no dramatic advantage of miR-423-5p compared to BNP protocol. CONCLUSION: Despite interstudy variability, the performance test of miRNA for detecting heart failure revealed that miR-423-5p demonstrated the potential to be a biomarker. However, other miRNAs were not able to provide enough evidence on promising diagnostic value for heart failure based on the current data. Moreover, the combination of miRNAs and BNP could work as a better method to detection. Unfortunately, BNP was still the most convinced biomarker for such disease.
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spelling pubmed-54596982017-06-12 miRNAs as biomarkers for diagnosis of heart failure: A systematic review and meta-analysis Yan, Hualin Ma, Fan Zhang, Yi Wang, Chuan Qiu, Dajian Zhou, Kaiyu Hua, Yimin Li, Yifei Medicine (Baltimore) 3400 BACKGROUND: With the rapid development of molecular biology, the kind of mircoRNA (miRNA) has been introduced into emerging role both in cardiac development and pathological procedure. Thus, we conduct this meta-analysis to find out the role of circulating miRNA as a biomarker in detecting heart failure. METHODS: We searched PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, and World Health Organization clinical trials registry center to identify relevant studies up to August 2016. We performed meta-analysis in a fixed/random-effect model using Meta-disc 1.4. We used STATA 14.0 to estimate the publication bias and meta-regression. Besides, we took use of SPSS 17.0 to evaluate variance between several groups. Information on true positive, false positive, false negative, and true negative, as well as the quality of research was extracted. RESULTS: We use results from 10 articles to analyze the pooled accuracy. The overall performance of total mixed miRNAs (TmiRs) detection was: pooled sensitivity, 0.74 (95% confidence interval [CI], 0.72 to 0.75); pooled specificity, 0.69 (95%CI, 0.67 to 0.71); and area under the summary receiver operating characteristic curves value (SROC), 0.7991. The miRNA-423-5p (miR-423-5p) detection was: pooled sensitivity, 0.81 (95%CI, 0.76 to 0.85); pooled specificity, 0.67 (95%CI, 0.61 to 0.73); and SROC, 0.8600. However, taken the same patients population, we extracted the data of BNP for detecting heart failure and performed meta-analysis with acceptable SROC as 0.9291. Among the variance analysis, the diagnostic performance of miR-423-5p claimed significant advantages of other pooled results. However, the combination of miRNAs and BNP could increase the accuracy of detecting of heart failure. Unfortunately, there was no dramatic advantage of miR-423-5p compared to BNP protocol. CONCLUSION: Despite interstudy variability, the performance test of miRNA for detecting heart failure revealed that miR-423-5p demonstrated the potential to be a biomarker. However, other miRNAs were not able to provide enough evidence on promising diagnostic value for heart failure based on the current data. Moreover, the combination of miRNAs and BNP could work as a better method to detection. Unfortunately, BNP was still the most convinced biomarker for such disease. Wolters Kluwer Health 2017-06-02 /pmc/articles/PMC5459698/ /pubmed/28562533 http://dx.doi.org/10.1097/MD.0000000000006825 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle 3400
Yan, Hualin
Ma, Fan
Zhang, Yi
Wang, Chuan
Qiu, Dajian
Zhou, Kaiyu
Hua, Yimin
Li, Yifei
miRNAs as biomarkers for diagnosis of heart failure: A systematic review and meta-analysis
title miRNAs as biomarkers for diagnosis of heart failure: A systematic review and meta-analysis
title_full miRNAs as biomarkers for diagnosis of heart failure: A systematic review and meta-analysis
title_fullStr miRNAs as biomarkers for diagnosis of heart failure: A systematic review and meta-analysis
title_full_unstemmed miRNAs as biomarkers for diagnosis of heart failure: A systematic review and meta-analysis
title_short miRNAs as biomarkers for diagnosis of heart failure: A systematic review and meta-analysis
title_sort mirnas as biomarkers for diagnosis of heart failure: a systematic review and meta-analysis
topic 3400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459698/
https://www.ncbi.nlm.nih.gov/pubmed/28562533
http://dx.doi.org/10.1097/MD.0000000000006825
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