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Research Paper|Volume 11, Issue 17|pp 6960—6982

TPM2 as a potential predictive biomarker for atherosclerosis

Ling-Bing Meng1, Meng-Jie Shan2, Yong Qiu3, Ruomei Qi4, Ze-Mou Yu5, Peng Guo6, Chen-Yi Di7, Tao Gong1
  • 1Neurology Department, Beijing Hospital, National Center of Gerontology, Beijing 100730, P. R. China
  • 2Graduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, P. R. China
  • 3Anesthesiology Department, Beijing Hospital, National Center of Gerontology, Beijing 100730, P. R. China
  • 4The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing 100730, P. R. China
  • 5Department of Neurology, Peking University First Hospital, Beijing 100034, P. R. China
  • 6Department of Orthopedics, The Fourth Hospital of Hebei Medical University, Shijiazhuang Development Zone, Hebei 050011, P.R. China
  • 7School of Basic Medicine, Peking University, Beijing 100191, P. R. China
Received: July 20, 2019Accepted: August 18, 2019Published: September 5, 2019
https://doi.org/10.18632/aging.102231

Copyright © 2019 Meng et al. 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.

Abstract

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.