title: Systematic analysis of the molecular mechanism underlying atherosclerosis using a text mining approach.
abstract: Atherosclerosis is one of the common health threats all over the world. It is a complex heritable disease that affects arterial blood vessels. Chronic inflammatory response plays an important role in atherogenesis. There has been little success in fully identifying functionally important genes in the pathogenesis of atherosclerosis.
  
  
  
  In the present study, we performed a systematic analysis of atherosclerosis-related genes using text mining. We identified a total of 1312 genes. Gene ontology (GO) analysis revealed that a total of 35 terms exhibited significance (p < 0.05) as overrepresented terms, indicating that atherosclerosis invokes many genes with a wide range of different functions. Pathway analysis demonstrated that the most highly enriched pathway is the Toll-like receptor signaling pathway. Finally, through gene network analysis, we prioritized 48 genes using the hub gene method.
  
  
  
  Our study provides a valuable resource for the in-depth understanding of the mechanism underlying atherosclerosis.
authors.affiliation: Division of Cardiology, Huiqiao Medical Center, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, People's Republic of China.
authors.forename: Dan
authors.initials: D
authors.lastname: Xi
authors.affiliation: Division of Cardiology, Huiqiao Medical Center, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, People's Republic of China.
authors.forename: Jinzhen
authors.initials: J
authors.lastname: Zhao
authors.affiliation: Laboratory of Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, People's Republic of China. frame007@163.com.
authors.forename: Wenyan
authors.initials: W
authors.lastname: Lai
authors.affiliation: Division of Cardiology, Huiqiao Medical Center, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, People's Republic of China. guozhigang126@126.com.
authors.forename: Zhigang
authors.initials: Z
authors.lastname: Guo
mesh_terms: D050197:Atherosclerosis / Q000235:genetics*; D016000:Cluster Analysis; D057225:Data Mining; D063990:Gene Ontology; D053263:Gene Regulatory Networks; D006801:Humans; D060066:Protein Interaction Maps
keywords: Atherosclerosis; Pathogenesis; Text mining