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Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death
BACKGROUND: Genetic risk scores have been developed for coronary artery disease and atherosclerosis, but are not predictive of adverse cardiovascular events. We asked whether peripheral blood expression profiles may be predictive of acute myocardial infarction (AMI) and/or cardiovascular death. METH...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071233/ https://www.ncbi.nlm.nih.gov/pubmed/24971157 http://dx.doi.org/10.1186/gm560 |
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author | Kim, Jinhee Ghasemzadeh, Nima Eapen, Danny J Chung, Neo Christopher Storey, John D Quyyumi, Arshed A Gibson, Greg |
author_facet | Kim, Jinhee Ghasemzadeh, Nima Eapen, Danny J Chung, Neo Christopher Storey, John D Quyyumi, Arshed A Gibson, Greg |
author_sort | Kim, Jinhee |
collection | PubMed |
description | BACKGROUND: Genetic risk scores have been developed for coronary artery disease and atherosclerosis, but are not predictive of adverse cardiovascular events. We asked whether peripheral blood expression profiles may be predictive of acute myocardial infarction (AMI) and/or cardiovascular death. METHODS: Peripheral blood samples from 338 subjects aged 62 ± 11 years with coronary artery disease (CAD) were analyzed in two phases (discovery N = 175, and replication N = 163), and followed for a mean 2.4 years for cardiovascular death. Gene expression was measured on Illumina HT-12 microarrays with two different normalization procedures to control technical and biological covariates. Whole genome genotyping was used to support comparative genome-wide association studies of gene expression. Analysis of variance was combined with receiver operating curve and survival analysis to define a transcriptional signature of cardiovascular death. RESULTS: In both phases, there was significant differential expression between healthy and AMI groups with overall down-regulation of genes involved in T-lymphocyte signaling and up-regulation of inflammatory genes. Expression quantitative trait loci analysis provided evidence for altered local genetic regulation of transcript abundance in AMI samples. On follow-up there were 31 cardiovascular deaths. A principal component (PC1) score capturing covariance of 238 genes that were differentially expressed between deceased and survivors in the discovery phase significantly predicted risk of cardiovascular death in the replication and combined samples (hazard ratio = 8.5, P < 0.0001) and improved the C-statistic (area under the curve 0.82 to 0.91, P = 0.03) after adjustment for traditional covariates. CONCLUSIONS: A specific blood gene expression profile is associated with a significant risk of death in Caucasian subjects with CAD. This comprises a subset of transcripts that are also altered in expression during acute myocardial infarction. |
format | Online Article Text |
id | pubmed-4071233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40712332014-06-27 Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death Kim, Jinhee Ghasemzadeh, Nima Eapen, Danny J Chung, Neo Christopher Storey, John D Quyyumi, Arshed A Gibson, Greg Genome Med Research BACKGROUND: Genetic risk scores have been developed for coronary artery disease and atherosclerosis, but are not predictive of adverse cardiovascular events. We asked whether peripheral blood expression profiles may be predictive of acute myocardial infarction (AMI) and/or cardiovascular death. METHODS: Peripheral blood samples from 338 subjects aged 62 ± 11 years with coronary artery disease (CAD) were analyzed in two phases (discovery N = 175, and replication N = 163), and followed for a mean 2.4 years for cardiovascular death. Gene expression was measured on Illumina HT-12 microarrays with two different normalization procedures to control technical and biological covariates. Whole genome genotyping was used to support comparative genome-wide association studies of gene expression. Analysis of variance was combined with receiver operating curve and survival analysis to define a transcriptional signature of cardiovascular death. RESULTS: In both phases, there was significant differential expression between healthy and AMI groups with overall down-regulation of genes involved in T-lymphocyte signaling and up-regulation of inflammatory genes. Expression quantitative trait loci analysis provided evidence for altered local genetic regulation of transcript abundance in AMI samples. On follow-up there were 31 cardiovascular deaths. A principal component (PC1) score capturing covariance of 238 genes that were differentially expressed between deceased and survivors in the discovery phase significantly predicted risk of cardiovascular death in the replication and combined samples (hazard ratio = 8.5, P < 0.0001) and improved the C-statistic (area under the curve 0.82 to 0.91, P = 0.03) after adjustment for traditional covariates. CONCLUSIONS: A specific blood gene expression profile is associated with a significant risk of death in Caucasian subjects with CAD. This comprises a subset of transcripts that are also altered in expression during acute myocardial infarction. BioMed Central 2014-05-30 /pmc/articles/PMC4071233/ /pubmed/24971157 http://dx.doi.org/10.1186/gm560 Text en Copyright © 2014 Kim et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 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 Kim, Jinhee Ghasemzadeh, Nima Eapen, Danny J Chung, Neo Christopher Storey, John D Quyyumi, Arshed A Gibson, Greg Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death |
title | Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death |
title_full | Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death |
title_fullStr | Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death |
title_full_unstemmed | Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death |
title_short | Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death |
title_sort | gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071233/ https://www.ncbi.nlm.nih.gov/pubmed/24971157 http://dx.doi.org/10.1186/gm560 |
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