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TPM2 as a potential predictive biomarker for atherosclerosis
Cardiac-cerebral vascular disease (CCVD), is primarily induced by atherosclerosis, and is a leading cause of mortality. Numerous studies have investigated and attempted to clarify the molecular mechanisms of atherosclerosis; however, its pathogenesis has yet to be completely elucidated. Two expressi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756910/ https://www.ncbi.nlm.nih.gov/pubmed/31487691 http://dx.doi.org/10.18632/aging.102231 |
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author | Meng, Ling-Bing Shan, Meng-Jie Qiu, Yong Qi, Ruomei Yu, Ze-Mou Guo, Peng Di, Chen-Yi Gong, Tao |
author_facet | Meng, Ling-Bing Shan, Meng-Jie Qiu, Yong Qi, Ruomei Yu, Ze-Mou Guo, Peng Di, Chen-Yi Gong, Tao |
author_sort | Meng, Ling-Bing |
collection | PubMed |
description | Cardiac-cerebral vascular disease (CCVD), is primarily induced by atherosclerosis, and is a leading cause of mortality. Numerous studies have investigated and attempted to clarify the molecular mechanisms of atherosclerosis; however, its pathogenesis has yet to be completely elucidated. Two expression profiling datasets, GSE43292 and GSE57691, were obtained from the Gene Expression Omnibus (GEO) database. The present study then identified the differentially expressed genes (DEGs), and functional annotation of the DEGs was performed. Finally, an atherosclerosis animal model and neural network prediction model was constructed to verify the relationship between hub gene and atherosclerosis. The results identified a total of 234 DEGs between the normal and atherosclerosis samples. The DEGs were mainly enriched in actin filament, actin binding, smooth muscle cells, and cytokine-cytokine receptor interactions. A total of 13 genes were identified as hub genes. Following verification of animal model, the common DEG, Tropomyosin 2 (TPM2), was found, which were displayed at lower levels in the atherosclerosis models and samples. In summary, DEGs identified in the present study may assist clinicians in understanding the pathogenesis governing the occurrence and development of atherosclerosis, and TPM2 exhibits potential as a promising diagnostic and therapeutic biomarker for atherosclerosis. |
format | Online Article Text |
id | pubmed-6756910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-67569102019-09-27 TPM2 as a potential predictive biomarker for atherosclerosis Meng, Ling-Bing Shan, Meng-Jie Qiu, Yong Qi, Ruomei Yu, Ze-Mou Guo, Peng Di, Chen-Yi Gong, Tao Aging (Albany NY) Research Paper Cardiac-cerebral vascular disease (CCVD), is primarily induced by atherosclerosis, and is a leading cause of mortality. Numerous studies have investigated and attempted to clarify the molecular mechanisms of atherosclerosis; however, its pathogenesis has yet to be completely elucidated. Two expression profiling datasets, GSE43292 and GSE57691, were obtained from the Gene Expression Omnibus (GEO) database. The present study then identified the differentially expressed genes (DEGs), and functional annotation of the DEGs was performed. Finally, an atherosclerosis animal model and neural network prediction model was constructed to verify the relationship between hub gene and atherosclerosis. The results identified a total of 234 DEGs between the normal and atherosclerosis samples. The DEGs were mainly enriched in actin filament, actin binding, smooth muscle cells, and cytokine-cytokine receptor interactions. A total of 13 genes were identified as hub genes. Following verification of animal model, the common DEG, Tropomyosin 2 (TPM2), was found, which were displayed at lower levels in the atherosclerosis models and samples. In summary, DEGs identified in the present study may assist clinicians in understanding the pathogenesis governing the occurrence and development of atherosclerosis, and TPM2 exhibits potential as a promising diagnostic and therapeutic biomarker for atherosclerosis. Impact Journals 2019-09-05 /pmc/articles/PMC6756910/ /pubmed/31487691 http://dx.doi.org/10.18632/aging.102231 Text en Copyright © 2019 Meng et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Meng, Ling-Bing Shan, Meng-Jie Qiu, Yong Qi, Ruomei Yu, Ze-Mou Guo, Peng Di, Chen-Yi Gong, Tao TPM2 as a potential predictive biomarker for atherosclerosis |
title | TPM2 as a potential predictive biomarker for atherosclerosis |
title_full | TPM2 as a potential predictive biomarker for atherosclerosis |
title_fullStr | TPM2 as a potential predictive biomarker for atherosclerosis |
title_full_unstemmed | TPM2 as a potential predictive biomarker for atherosclerosis |
title_short | TPM2 as a potential predictive biomarker for atherosclerosis |
title_sort | tpm2 as a potential predictive biomarker for atherosclerosis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756910/ https://www.ncbi.nlm.nih.gov/pubmed/31487691 http://dx.doi.org/10.18632/aging.102231 |
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