Cargando…
Identification of Core Gene Biomarkers in Patients with Diabetic Cardiomyopathy
Diabetic cardiomyopathy (DCM) is a disorder of the myocardium in diabetic patients, which is one of the critical complications of diabetes giving rise to an increased mortality. However, the underlying mechanisms of DCM remain incompletely understood presently. This study was designed to screen the...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313979/ https://www.ncbi.nlm.nih.gov/pubmed/30662576 http://dx.doi.org/10.1155/2018/6025061 |
_version_ | 1783384053248950272 |
---|---|
author | Li, Ning Wu, Haiming Geng, Rongxin Tang, Qizhu |
author_facet | Li, Ning Wu, Haiming Geng, Rongxin Tang, Qizhu |
author_sort | Li, Ning |
collection | PubMed |
description | Diabetic cardiomyopathy (DCM) is a disorder of the myocardium in diabetic patients, which is one of the critical complications of diabetes giving rise to an increased mortality. However, the underlying mechanisms of DCM remain incompletely understood presently. This study was designed to screen the potential molecules and pathways implicated with DCM. GSE26887 involving 5 control individuals and 7 DCM patients was selected from the GEO database to identify the differentially expressed genes (DEGs). DAVID was applied to perform gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. A protein-protein interaction (PPI) network was also constructed to visualize the interactions among these DEGs. To further validate significant genes and pathways, quantitative real-time PCR (qPCR) and Western blot were performed. A total of 236 DEGs were captured, including 134 upregulated and 102 downregulated genes. GO, KEGG, and the PPI network disclosed that inflammation, immune disorders, metabolic disturbance, and mitochondrial dysfunction were significantly enriched in the development of DCM. Notably, IL6 was an upregulated hub gene with the highest connectivity degree, suggesting that it may interact with a great many molecules and pathways. Meanwhile, SOCS3 was also one of the top 15 hub genes in the PPI network. Herein, we detected the protein level of STAT3 and SOCS3 in a mouse model with DCM. Western blot results showed that the protein level of SOCS3 was significantly lower while phosphorylated-STAT3 (P-STAT3) was activated in mice with DCM. In vitro results also uncovered the similar alterations of SOCS3 and P-STAT3 in cardiomyocytes and cardiac fibroblasts induced by high glucose (HG). However, overexpression of SOCS3 could significantly reverse HG-induced cardiomyocyte hypertrophy and collagen synthesis of cardiac fibroblasts. Taken together, our analysis unveiled potential biomarkers and molecular mechanisms in DCM, which could be helpful to the diagnosis and treatment of DCM. |
format | Online Article Text |
id | pubmed-6313979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-63139792019-01-20 Identification of Core Gene Biomarkers in Patients with Diabetic Cardiomyopathy Li, Ning Wu, Haiming Geng, Rongxin Tang, Qizhu Dis Markers Research Article Diabetic cardiomyopathy (DCM) is a disorder of the myocardium in diabetic patients, which is one of the critical complications of diabetes giving rise to an increased mortality. However, the underlying mechanisms of DCM remain incompletely understood presently. This study was designed to screen the potential molecules and pathways implicated with DCM. GSE26887 involving 5 control individuals and 7 DCM patients was selected from the GEO database to identify the differentially expressed genes (DEGs). DAVID was applied to perform gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. A protein-protein interaction (PPI) network was also constructed to visualize the interactions among these DEGs. To further validate significant genes and pathways, quantitative real-time PCR (qPCR) and Western blot were performed. A total of 236 DEGs were captured, including 134 upregulated and 102 downregulated genes. GO, KEGG, and the PPI network disclosed that inflammation, immune disorders, metabolic disturbance, and mitochondrial dysfunction were significantly enriched in the development of DCM. Notably, IL6 was an upregulated hub gene with the highest connectivity degree, suggesting that it may interact with a great many molecules and pathways. Meanwhile, SOCS3 was also one of the top 15 hub genes in the PPI network. Herein, we detected the protein level of STAT3 and SOCS3 in a mouse model with DCM. Western blot results showed that the protein level of SOCS3 was significantly lower while phosphorylated-STAT3 (P-STAT3) was activated in mice with DCM. In vitro results also uncovered the similar alterations of SOCS3 and P-STAT3 in cardiomyocytes and cardiac fibroblasts induced by high glucose (HG). However, overexpression of SOCS3 could significantly reverse HG-induced cardiomyocyte hypertrophy and collagen synthesis of cardiac fibroblasts. Taken together, our analysis unveiled potential biomarkers and molecular mechanisms in DCM, which could be helpful to the diagnosis and treatment of DCM. Hindawi 2018-12-19 /pmc/articles/PMC6313979/ /pubmed/30662576 http://dx.doi.org/10.1155/2018/6025061 Text en Copyright © 2018 Ning Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Ning Wu, Haiming Geng, Rongxin Tang, Qizhu Identification of Core Gene Biomarkers in Patients with Diabetic Cardiomyopathy |
title | Identification of Core Gene Biomarkers in Patients with Diabetic Cardiomyopathy |
title_full | Identification of Core Gene Biomarkers in Patients with Diabetic Cardiomyopathy |
title_fullStr | Identification of Core Gene Biomarkers in Patients with Diabetic Cardiomyopathy |
title_full_unstemmed | Identification of Core Gene Biomarkers in Patients with Diabetic Cardiomyopathy |
title_short | Identification of Core Gene Biomarkers in Patients with Diabetic Cardiomyopathy |
title_sort | identification of core gene biomarkers in patients with diabetic cardiomyopathy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313979/ https://www.ncbi.nlm.nih.gov/pubmed/30662576 http://dx.doi.org/10.1155/2018/6025061 |
work_keys_str_mv | AT lining identificationofcoregenebiomarkersinpatientswithdiabeticcardiomyopathy AT wuhaiming identificationofcoregenebiomarkersinpatientswithdiabeticcardiomyopathy AT gengrongxin identificationofcoregenebiomarkersinpatientswithdiabeticcardiomyopathy AT tangqizhu identificationofcoregenebiomarkersinpatientswithdiabeticcardiomyopathy |