Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Meng, Ling-Bing, Shan, Meng-Jie, Qiu, Yong, Qi, Ruomei, Yu, Ze-Mou, Guo, Peng, Di, Chen-Yi, Gong, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2019
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
_version_ 1783453490139365376
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
work_keys_str_mv AT menglingbing tpm2asapotentialpredictivebiomarkerforatherosclerosis
AT shanmengjie tpm2asapotentialpredictivebiomarkerforatherosclerosis
AT qiuyong tpm2asapotentialpredictivebiomarkerforatherosclerosis
AT qiruomei tpm2asapotentialpredictivebiomarkerforatherosclerosis
AT yuzemou tpm2asapotentialpredictivebiomarkerforatherosclerosis
AT guopeng tpm2asapotentialpredictivebiomarkerforatherosclerosis
AT dichenyi tpm2asapotentialpredictivebiomarkerforatherosclerosis
AT gongtao tpm2asapotentialpredictivebiomarkerforatherosclerosis