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Identification of key genes involved in myocardial infarction
BACKGROUND: This study focuses on the identification of conserved genes involved in myocardial infarction (MI), and then analyzed the differentially expressed genes (DEGs) between the incident and recurrent events to identify MI-recurrent biomarkers. METHODS: Gene expression data of MI peripheral bl...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607516/ https://www.ncbi.nlm.nih.gov/pubmed/31269974 http://dx.doi.org/10.1186/s40001-019-0381-x |
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author | Qiu, Linlin Liu, Xueqing |
author_facet | Qiu, Linlin Liu, Xueqing |
author_sort | Qiu, Linlin |
collection | PubMed |
description | BACKGROUND: This study focuses on the identification of conserved genes involved in myocardial infarction (MI), and then analyzed the differentially expressed genes (DEGs) between the incident and recurrent events to identify MI-recurrent biomarkers. METHODS: Gene expression data of MI peripheral blood were downloaded from GSE97320 and GSE66360 datasets. We identified the common DEGs in these two datasets by functional enrichment analysis and protein–protein interaction (PPI) network analysis. GSE48060 was further analyzed to validate the conserved genes in MI and to compare the DEGs between the incident and recurrent MI. RESULTS: A total of 477 conserved genes were identified in the comparison between MI and control. Protein–protein interaction (PPI) network showed hub genes, such as MAPK14, STAT3, and MAPKAPK2. Part of those conserved genes was validated in the analysis of GSE48060. The DEGs in the incident and recurrent MI showed significant differences, including RNASE2 and A2M-AS1 as the potential biomarkers of MI recurrence. CONCLUSIONS: The conserved genes in the pathogenesis of MI were identified, benefit for target therapy. Meanwhile, some specific genes may be used as markers for the prediction of recurrent MI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40001-019-0381-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6607516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66075162019-07-12 Identification of key genes involved in myocardial infarction Qiu, Linlin Liu, Xueqing Eur J Med Res Research BACKGROUND: This study focuses on the identification of conserved genes involved in myocardial infarction (MI), and then analyzed the differentially expressed genes (DEGs) between the incident and recurrent events to identify MI-recurrent biomarkers. METHODS: Gene expression data of MI peripheral blood were downloaded from GSE97320 and GSE66360 datasets. We identified the common DEGs in these two datasets by functional enrichment analysis and protein–protein interaction (PPI) network analysis. GSE48060 was further analyzed to validate the conserved genes in MI and to compare the DEGs between the incident and recurrent MI. RESULTS: A total of 477 conserved genes were identified in the comparison between MI and control. Protein–protein interaction (PPI) network showed hub genes, such as MAPK14, STAT3, and MAPKAPK2. Part of those conserved genes was validated in the analysis of GSE48060. The DEGs in the incident and recurrent MI showed significant differences, including RNASE2 and A2M-AS1 as the potential biomarkers of MI recurrence. CONCLUSIONS: The conserved genes in the pathogenesis of MI were identified, benefit for target therapy. Meanwhile, some specific genes may be used as markers for the prediction of recurrent MI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40001-019-0381-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-03 /pmc/articles/PMC6607516/ /pubmed/31269974 http://dx.doi.org/10.1186/s40001-019-0381-x 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 Qiu, Linlin Liu, Xueqing Identification of key genes involved in myocardial infarction |
title | Identification of key genes involved in myocardial infarction |
title_full | Identification of key genes involved in myocardial infarction |
title_fullStr | Identification of key genes involved in myocardial infarction |
title_full_unstemmed | Identification of key genes involved in myocardial infarction |
title_short | Identification of key genes involved in myocardial infarction |
title_sort | identification of key genes involved in myocardial infarction |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607516/ https://www.ncbi.nlm.nih.gov/pubmed/31269974 http://dx.doi.org/10.1186/s40001-019-0381-x |
work_keys_str_mv | AT qiulinlin identificationofkeygenesinvolvedinmyocardialinfarction AT liuxueqing identificationofkeygenesinvolvedinmyocardialinfarction |