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Gene microarray analyses for potential biomarkers of single and recurrent venous thromboembolism
Venous thromboembolism is a major cause of morbidity and mortality with a high recurrence rate. The present study aimed to explore the molecular mechanisms and potential biomarkers of single venous thromboembolism (SVTE) and recurrent venous thromboembolism (RVTE). The microarray dataset GSE19151 wa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626143/ https://www.ncbi.nlm.nih.gov/pubmed/26397997 http://dx.doi.org/10.3892/mmr.2015.4349 |
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author | ZHOU, WUGANG ZHANG, KE CHEN, DONGRUI GAO, PINGJIN WANG, QIAO |
author_facet | ZHOU, WUGANG ZHANG, KE CHEN, DONGRUI GAO, PINGJIN WANG, QIAO |
author_sort | ZHOU, WUGANG |
collection | PubMed |
description | Venous thromboembolism is a major cause of morbidity and mortality with a high recurrence rate. The present study aimed to explore the molecular mechanisms and potential biomarkers of single venous thromboembolism (SVTE) and recurrent venous thromboembolism (RVTE). The microarray dataset GSE19151 was downloaded from Gene Expression Omnibus, which contained data from whole blood samples from 63 healthy controls, 32 SVTE and 38 RVTE patients. Differentially expressed genes (DEGs) in the SVTE and RVTE groups compared with those in the controls were identified using the t-test, followed by clustering analysis of DEGs and samples. Functional and pathway enrichment analyses were performed for DEGs in patients with RVTE and SVTE, as well as specific DEGs in patients with RVTE. The identified 42 DEGs in RVTE were mainly enriched in biological processes of cellular protein metabolism, gene expression and translational elongation as well as in pathways associated with ribosomes, Parkinson's disease and oxidative phosphorylation. In SVTE, 20 DEGs were identified, which were mainly involved in biological processes of biopolymer biosynthesis, translational elongation and cellular protein metabolism as well as pathways associated with ribosomes and cardiac muscle contraction. In RVTE, 22 specific DEGs were mainly involved in translational elongation, negative regulation of the force of heart contraction by chemical signals, cell proliferation, ribosomal pathways and protein export. The identified DEGs of SVTE, including COX7C and UQCRQ, may be potential biomarkers for SVTE, and the specific DEGs of RVTE, including ADRBK1, NDUFA5 and ATP5O, may be potential biomarkers for RVTE. |
format | Online Article Text |
id | pubmed-4626143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-46261432016-02-23 Gene microarray analyses for potential biomarkers of single and recurrent venous thromboembolism ZHOU, WUGANG ZHANG, KE CHEN, DONGRUI GAO, PINGJIN WANG, QIAO Mol Med Rep Articles Venous thromboembolism is a major cause of morbidity and mortality with a high recurrence rate. The present study aimed to explore the molecular mechanisms and potential biomarkers of single venous thromboembolism (SVTE) and recurrent venous thromboembolism (RVTE). The microarray dataset GSE19151 was downloaded from Gene Expression Omnibus, which contained data from whole blood samples from 63 healthy controls, 32 SVTE and 38 RVTE patients. Differentially expressed genes (DEGs) in the SVTE and RVTE groups compared with those in the controls were identified using the t-test, followed by clustering analysis of DEGs and samples. Functional and pathway enrichment analyses were performed for DEGs in patients with RVTE and SVTE, as well as specific DEGs in patients with RVTE. The identified 42 DEGs in RVTE were mainly enriched in biological processes of cellular protein metabolism, gene expression and translational elongation as well as in pathways associated with ribosomes, Parkinson's disease and oxidative phosphorylation. In SVTE, 20 DEGs were identified, which were mainly involved in biological processes of biopolymer biosynthesis, translational elongation and cellular protein metabolism as well as pathways associated with ribosomes and cardiac muscle contraction. In RVTE, 22 specific DEGs were mainly involved in translational elongation, negative regulation of the force of heart contraction by chemical signals, cell proliferation, ribosomal pathways and protein export. The identified DEGs of SVTE, including COX7C and UQCRQ, may be potential biomarkers for SVTE, and the specific DEGs of RVTE, including ADRBK1, NDUFA5 and ATP5O, may be potential biomarkers for RVTE. D.A. Spandidos 2015-11 2015-09-22 /pmc/articles/PMC4626143/ /pubmed/26397997 http://dx.doi.org/10.3892/mmr.2015.4349 Text en Copyright: © Zhou 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 ZHOU, WUGANG ZHANG, KE CHEN, DONGRUI GAO, PINGJIN WANG, QIAO Gene microarray analyses for potential biomarkers of single and recurrent venous thromboembolism |
title | Gene microarray analyses for potential biomarkers of single and recurrent venous thromboembolism |
title_full | Gene microarray analyses for potential biomarkers of single and recurrent venous thromboembolism |
title_fullStr | Gene microarray analyses for potential biomarkers of single and recurrent venous thromboembolism |
title_full_unstemmed | Gene microarray analyses for potential biomarkers of single and recurrent venous thromboembolism |
title_short | Gene microarray analyses for potential biomarkers of single and recurrent venous thromboembolism |
title_sort | gene microarray analyses for potential biomarkers of single and recurrent venous thromboembolism |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626143/ https://www.ncbi.nlm.nih.gov/pubmed/26397997 http://dx.doi.org/10.3892/mmr.2015.4349 |
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