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Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure
BACKGROUND: Heart failure (HF) is the most common cause of morbidity and mortality in developed countries. Here, we identify biologically relevant transcripts that are significantly altered in the early phase of myocardial infarction and are associated with the development of post-myocardial infarct...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432772/ https://www.ncbi.nlm.nih.gov/pubmed/25984239 http://dx.doi.org/10.1186/s13073-015-0149-z |
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author | Maciejak, Agata Kiliszek, Marek Michalak, Marcin Tulacz, Dorota Opolski, Grzegorz Matlak, Krzysztof Dobrzycki, Slawomir Segiet, Agnieszka Gora, Monika Burzynska, Beata |
author_facet | Maciejak, Agata Kiliszek, Marek Michalak, Marcin Tulacz, Dorota Opolski, Grzegorz Matlak, Krzysztof Dobrzycki, Slawomir Segiet, Agnieszka Gora, Monika Burzynska, Beata |
author_sort | Maciejak, Agata |
collection | PubMed |
description | BACKGROUND: Heart failure (HF) is the most common cause of morbidity and mortality in developed countries. Here, we identify biologically relevant transcripts that are significantly altered in the early phase of myocardial infarction and are associated with the development of post-myocardial infarction HF. METHODS: We collected peripheral blood samples from patients with ST-segment elevation myocardial infarction (STEMI): n = 111 and n = 41 patients from the study and validation groups, respectively. Control groups comprised patients with a stable coronary artery disease and without a history of myocardial infarction. Based on plasma NT-proBNP level and left ventricular ejection fraction parameters the STEMI patients were divided into HF and non-HF groups. Microarrays were used to analyze mRNA levels in peripheral blood mononuclear cells (PBMCs) isolated from the study group at four time points and control group. Microarray results were validated by RT-qPCR using whole blood RNA from the validation group. RESULTS: Samples from the first three time points (admission, discharge, and 1 month after AMI) were compared with the samples from the same patients collected 6 months after AMI (stable phase) and with the control group. The greatest differences in transcriptional profiles were observed on admission and they gradually stabilized during the follow-up. We have also identified a set of genes the expression of which on the first day of STEMI differed significantly between patients who developed HF after 6 months of observation and those who did not. RNASE1, FMN1, and JDP2 were selected for further analysis and their early up-regulation was confirmed in HF patients from both the study and validation groups. Significant correlations were found between expression levels of these biomarkers and clinical parameters. The receiver operating characteristic (ROC) curves indicated a good prognostic value of the genes chosen. CONCLUSIONS: This study demonstrates an altered gene expression profile in PBMCs during acute myocardial infarction and through the follow-up. The identified gene expression changes at the early phase of STEMI that differentiated the patients who developed HF from those who did not could serve as a convenient tool contributing to the prognosis of heart failure. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0149-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4432772 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44327722015-05-16 Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure Maciejak, Agata Kiliszek, Marek Michalak, Marcin Tulacz, Dorota Opolski, Grzegorz Matlak, Krzysztof Dobrzycki, Slawomir Segiet, Agnieszka Gora, Monika Burzynska, Beata Genome Med Research BACKGROUND: Heart failure (HF) is the most common cause of morbidity and mortality in developed countries. Here, we identify biologically relevant transcripts that are significantly altered in the early phase of myocardial infarction and are associated with the development of post-myocardial infarction HF. METHODS: We collected peripheral blood samples from patients with ST-segment elevation myocardial infarction (STEMI): n = 111 and n = 41 patients from the study and validation groups, respectively. Control groups comprised patients with a stable coronary artery disease and without a history of myocardial infarction. Based on plasma NT-proBNP level and left ventricular ejection fraction parameters the STEMI patients were divided into HF and non-HF groups. Microarrays were used to analyze mRNA levels in peripheral blood mononuclear cells (PBMCs) isolated from the study group at four time points and control group. Microarray results were validated by RT-qPCR using whole blood RNA from the validation group. RESULTS: Samples from the first three time points (admission, discharge, and 1 month after AMI) were compared with the samples from the same patients collected 6 months after AMI (stable phase) and with the control group. The greatest differences in transcriptional profiles were observed on admission and they gradually stabilized during the follow-up. We have also identified a set of genes the expression of which on the first day of STEMI differed significantly between patients who developed HF after 6 months of observation and those who did not. RNASE1, FMN1, and JDP2 were selected for further analysis and their early up-regulation was confirmed in HF patients from both the study and validation groups. Significant correlations were found between expression levels of these biomarkers and clinical parameters. The receiver operating characteristic (ROC) curves indicated a good prognostic value of the genes chosen. CONCLUSIONS: This study demonstrates an altered gene expression profile in PBMCs during acute myocardial infarction and through the follow-up. The identified gene expression changes at the early phase of STEMI that differentiated the patients who developed HF from those who did not could serve as a convenient tool contributing to the prognosis of heart failure. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0149-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-14 /pmc/articles/PMC4432772/ /pubmed/25984239 http://dx.doi.org/10.1186/s13073-015-0149-z Text en © Maciejak et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Maciejak, Agata Kiliszek, Marek Michalak, Marcin Tulacz, Dorota Opolski, Grzegorz Matlak, Krzysztof Dobrzycki, Slawomir Segiet, Agnieszka Gora, Monika Burzynska, Beata Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure |
title | Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure |
title_full | Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure |
title_fullStr | Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure |
title_full_unstemmed | Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure |
title_short | Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure |
title_sort | gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432772/ https://www.ncbi.nlm.nih.gov/pubmed/25984239 http://dx.doi.org/10.1186/s13073-015-0149-z |
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