Cargando…

Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population

The present study aimed to identify biomarkers for the clinical diagnosis of acute myocardial infarction (AMI) in a Chinese population using microarray data collected from the Gene Expression Omnibus database under accession number GSE97320. This included the peripheral blood samples of three patien...

Descripción completa

Detalles Bibliográficos
Autores principales: Su, Jiang, Gao, Changqing, Wang, Rong, Xiao, Cangsong, Yang, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072145/
https://www.ncbi.nlm.nih.gov/pubmed/29845217
http://dx.doi.org/10.3892/mmr.2018.9077
_version_ 1783343979148869632
author Su, Jiang
Gao, Changqing
Wang, Rong
Xiao, Cangsong
Yang, Ming
author_facet Su, Jiang
Gao, Changqing
Wang, Rong
Xiao, Cangsong
Yang, Ming
author_sort Su, Jiang
collection PubMed
description The present study aimed to identify biomarkers for the clinical diagnosis of acute myocardial infarction (AMI) in a Chinese population using microarray data collected from the Gene Expression Omnibus database under accession number GSE97320. This included the peripheral blood samples of three patients with AMI and three controls. Differentially expressed genes (DEGs) were identified using the limma package and protein-protein interaction networks were constructed using data from the Search Tool for the Retrieval of Interacting Genes database, followed by module analysis to screen for hub genes. Functional enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery. The identified genes were verified by overlapping with the target genes of microRNAs (miRs) known to be associated with AMI, as well as the DEGs identified in other AMI datasets, including GSE24519, GSE34198 and GSE48060. As a result, 752 DEGs (449 upregulated and 303 downregulated) were identified in the GSE97320 dataset. The upregulated DEGs were predicted to participate in inflammatory pathways, including the toll-like receptor (TLR) signaling pathway, including ras-related C3 botulinum toxin substrate 1 (RAC1), TLR4, C-C motif chemokine receptor (CCR)1; cytokine-cytokine receptor interaction, including signal transducer and activator of transcription (STAT)3; chemokine signaling pathway, including CCR10; pathways associated with cancer, including colony stimulating factor 3 receptor (CSF3R); and leukocyte transendothelial migration, including matrix metallopeptidase 9 (MMP9). The downregulated DEGs were associated with the cell cycle, including alstrom syndrome protein 1 (ALMS1). These conclusions were made following functional analysis of the genes in the three identified modules. MMP9, TLR4, STAT3, CCR1 and ALMS1 were regulated by miR-21-5p, whereas RAC1 was regulated by miR-30c-5p. A comparison among the four datasets confirmed the roles of CSF3R and CCR10. HtrA serine peptidase 1 (HTRA1) was the only gene associated with both mortality and recurrence. In conclusion, inflammation-associated genes, including STAT3, CCR1, RAC1, MMP9, CCR10, CSF3R and HTRA1, as well as cell cycle-associated genes such as ALMS1, may be biomarkers for the diagnosis and prognosis of AMI in Chinese people.
format Online
Article
Text
id pubmed-6072145
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-60721452018-08-06 Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population Su, Jiang Gao, Changqing Wang, Rong Xiao, Cangsong Yang, Ming Mol Med Rep Articles The present study aimed to identify biomarkers for the clinical diagnosis of acute myocardial infarction (AMI) in a Chinese population using microarray data collected from the Gene Expression Omnibus database under accession number GSE97320. This included the peripheral blood samples of three patients with AMI and three controls. Differentially expressed genes (DEGs) were identified using the limma package and protein-protein interaction networks were constructed using data from the Search Tool for the Retrieval of Interacting Genes database, followed by module analysis to screen for hub genes. Functional enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery. The identified genes were verified by overlapping with the target genes of microRNAs (miRs) known to be associated with AMI, as well as the DEGs identified in other AMI datasets, including GSE24519, GSE34198 and GSE48060. As a result, 752 DEGs (449 upregulated and 303 downregulated) were identified in the GSE97320 dataset. The upregulated DEGs were predicted to participate in inflammatory pathways, including the toll-like receptor (TLR) signaling pathway, including ras-related C3 botulinum toxin substrate 1 (RAC1), TLR4, C-C motif chemokine receptor (CCR)1; cytokine-cytokine receptor interaction, including signal transducer and activator of transcription (STAT)3; chemokine signaling pathway, including CCR10; pathways associated with cancer, including colony stimulating factor 3 receptor (CSF3R); and leukocyte transendothelial migration, including matrix metallopeptidase 9 (MMP9). The downregulated DEGs were associated with the cell cycle, including alstrom syndrome protein 1 (ALMS1). These conclusions were made following functional analysis of the genes in the three identified modules. MMP9, TLR4, STAT3, CCR1 and ALMS1 were regulated by miR-21-5p, whereas RAC1 was regulated by miR-30c-5p. A comparison among the four datasets confirmed the roles of CSF3R and CCR10. HtrA serine peptidase 1 (HTRA1) was the only gene associated with both mortality and recurrence. In conclusion, inflammation-associated genes, including STAT3, CCR1, RAC1, MMP9, CCR10, CSF3R and HTRA1, as well as cell cycle-associated genes such as ALMS1, may be biomarkers for the diagnosis and prognosis of AMI in Chinese people. D.A. Spandidos 2018-08 2018-05-25 /pmc/articles/PMC6072145/ /pubmed/29845217 http://dx.doi.org/10.3892/mmr.2018.9077 Text en Copyright: © Su 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
Su, Jiang
Gao, Changqing
Wang, Rong
Xiao, Cangsong
Yang, Ming
Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population
title Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population
title_full Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population
title_fullStr Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population
title_full_unstemmed Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population
title_short Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population
title_sort genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a chinese population
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072145/
https://www.ncbi.nlm.nih.gov/pubmed/29845217
http://dx.doi.org/10.3892/mmr.2018.9077
work_keys_str_mv AT sujiang genesassociatedwithinflammationandthecellcyclemayserveasbiomarkersforthediagnosisandprognosisofacutemyocardialinfarctioninachinesepopulation
AT gaochangqing genesassociatedwithinflammationandthecellcyclemayserveasbiomarkersforthediagnosisandprognosisofacutemyocardialinfarctioninachinesepopulation
AT wangrong genesassociatedwithinflammationandthecellcyclemayserveasbiomarkersforthediagnosisandprognosisofacutemyocardialinfarctioninachinesepopulation
AT xiaocangsong genesassociatedwithinflammationandthecellcyclemayserveasbiomarkersforthediagnosisandprognosisofacutemyocardialinfarctioninachinesepopulation
AT yangming genesassociatedwithinflammationandthecellcyclemayserveasbiomarkersforthediagnosisandprognosisofacutemyocardialinfarctioninachinesepopulation