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Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification

Myocardial infarction (MI) is a disease characterized by high morbidity and mortality rates. MI biomarkers are frequently used in clinical diagnosis; however, their specificity and sensitivity remain unsatisfactory. Urinary proteome is an easy, efficient and noninvasive source to examine biomarkers...

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Autores principales: Zou, Lili, Wang, Xubo, Guo, Zhengguang, Sun, Haidan, Shao, Chen, Yang, Yehong, Sun, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471447/
https://www.ncbi.nlm.nih.gov/pubmed/30942401
http://dx.doi.org/10.3892/mmr.2019.10088
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author Zou, Lili
Wang, Xubo
Guo, Zhengguang
Sun, Haidan
Shao, Chen
Yang, Yehong
Sun, Wei
author_facet Zou, Lili
Wang, Xubo
Guo, Zhengguang
Sun, Haidan
Shao, Chen
Yang, Yehong
Sun, Wei
author_sort Zou, Lili
collection PubMed
description Myocardial infarction (MI) is a disease characterized by high morbidity and mortality rates. MI biomarkers are frequently used in clinical diagnosis; however, their specificity and sensitivity remain unsatisfactory. Urinary proteome is an easy, efficient and noninvasive source to examine biomarkers associated with various diseases. The present study, to the best of the authors' knowledge, is the first to examine the urinary proteome using the isobaric tags for relative and absolute quantitation (iTRAQ) technology to identify potential diagnostic biomarkers of MI. The urinary proteome was analyzed within 12 h following the first symptoms of early-onset MI and at day 7 following percutaneous coronary intervention via iTRAQ labeling and two-dimensional liquid chromatography-tandem mass spectrometry. Candidate biomarkers were validated by multiple reaction monitoring (MRM) analysis. A total of 233 urinary proteins were differentially expressed. Gene enrichment analysis identified that the urinary proteome in patients with MI was associated with atherosclerosis, abnormal coagulation and abnormal cell metabolism. In total, 12 differentially expressed urinary proteins were validated by MRM analysis, five of which were associated with MI for the first time in the present study. Binary logistic regression analysis suggested that the combination of five urinary proteins (antithrombin-III, complement C3, α-1-acid glycoprotein 1, serotransferrin and cathepsin Z) may be used to diagnose MI with 94% sensitivity and 93% specificity. In addition, the protein expression levels of three proteins were significantly restored to normal levels following surgical treatment. The verified candidate biomarkers may be used for the diagnosis of MI, and for monitoring the disease status and the effects of treatments for MI. The present results may facilitate future clinical applications of the urinary proteome to diagnose MI.
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spelling pubmed-64714472019-04-23 Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification Zou, Lili Wang, Xubo Guo, Zhengguang Sun, Haidan Shao, Chen Yang, Yehong Sun, Wei Mol Med Rep Articles Myocardial infarction (MI) is a disease characterized by high morbidity and mortality rates. MI biomarkers are frequently used in clinical diagnosis; however, their specificity and sensitivity remain unsatisfactory. Urinary proteome is an easy, efficient and noninvasive source to examine biomarkers associated with various diseases. The present study, to the best of the authors' knowledge, is the first to examine the urinary proteome using the isobaric tags for relative and absolute quantitation (iTRAQ) technology to identify potential diagnostic biomarkers of MI. The urinary proteome was analyzed within 12 h following the first symptoms of early-onset MI and at day 7 following percutaneous coronary intervention via iTRAQ labeling and two-dimensional liquid chromatography-tandem mass spectrometry. Candidate biomarkers were validated by multiple reaction monitoring (MRM) analysis. A total of 233 urinary proteins were differentially expressed. Gene enrichment analysis identified that the urinary proteome in patients with MI was associated with atherosclerosis, abnormal coagulation and abnormal cell metabolism. In total, 12 differentially expressed urinary proteins were validated by MRM analysis, five of which were associated with MI for the first time in the present study. Binary logistic regression analysis suggested that the combination of five urinary proteins (antithrombin-III, complement C3, α-1-acid glycoprotein 1, serotransferrin and cathepsin Z) may be used to diagnose MI with 94% sensitivity and 93% specificity. In addition, the protein expression levels of three proteins were significantly restored to normal levels following surgical treatment. The verified candidate biomarkers may be used for the diagnosis of MI, and for monitoring the disease status and the effects of treatments for MI. The present results may facilitate future clinical applications of the urinary proteome to diagnose MI. D.A. Spandidos 2019-05 2019-03-26 /pmc/articles/PMC6471447/ /pubmed/30942401 http://dx.doi.org/10.3892/mmr.2019.10088 Text en Copyright: © Zou et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zou, Lili
Wang, Xubo
Guo, Zhengguang
Sun, Haidan
Shao, Chen
Yang, Yehong
Sun, Wei
Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification
title Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification
title_full Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification
title_fullStr Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification
title_full_unstemmed Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification
title_short Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification
title_sort differential urinary proteomics analysis of myocardial infarction using itraq quantification
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471447/
https://www.ncbi.nlm.nih.gov/pubmed/30942401
http://dx.doi.org/10.3892/mmr.2019.10088
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