Document Type
Journal Article
Department/Unit
School of Chinese Medicine
Language
English
Abstract
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Rheumatoid arthritis (RA) and coronary artery disease (CAD) are both complex inflammatory diseases, and an increased prevalence of CAD and a high rate of mortality have been observed in RA patients. But the molecular mechanism of inflammation that is shared between the two disorders is unclear. High-throughput techniques, such as transcriptome analysis, are becoming important tools for genetic biomarker discovery in highly complex biological samples, which is critical for the diagnosis, prognosis, and treatment of disease. In the present study, we reported one type of transcriptome analysis method: digital gene expression profiling of peripheral blood mononuclear cells of 10 RA patients, 10 CAD patients and 10 healthy people. In all, 213 and 152 differently expressed genes (DEGs) were identified in RA patients compared with normal controls (RA vs. normal) and CAD patients compared with normal controls (CAD vs. normal), respectively, with 73 shared DEGs between them. Using this technique in combination with Ingenuity Pathways Analysis software, the effects on inflammation of four shared canonical pathways, three shared activated predicted upstream regulators and three shared molecular interaction networks were identified and explored. These shared molecular mechanisms may provide the genetic basis and potential targets foroptimizing the application of current drugs to more effectively treat these diseases simultaneously and for preventing one when the other is diagnosed.
Publication Date
12-2014
Source Publication Title
PLoS ONE
Volume
9
Issue
12
Start Page
e113659
Publisher
Public Library of Science
Peer Reviewed
1
Copyright
© 2014 Niu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funder
This study was supported by (1) International cooperation project of Ministry of science and technology (Project ID: 2014DFA31490) to Cheng Xiao, (2) Interdisciplinary Research Matching Scheme (IRMS) of Hong Kong Baptist University (Project ID: RC-IRMS/12-13/02), Research Committee of Hong Kong Baptist University (Project ID: FRG2/ 12-13/027) to Ge Zhang, and (3) Science and Technology Projects for supervisors of Beijing outstanding doctorate dissertation (Project ID: 20118450201) to Aiping Lu.
DOI
10.1371/journal.pone.0113659
Link to Publisher's Edition
http://dx.doi.org/10.1371/journal.pone.0113659
ISSN (print)
19326203
ISSN (electronic)
19326203
Recommended Citation
Niu, Xuyan, Cheng Lu, Cheng Xiao, Zhiguo Zhang, Miao Jiang, Dan He, Yanqin Bian, Ge Zhang, Zhaoxiang Bian, and Aiping Lu. "The shared crosstalk of multiple pathways involved in the inflammation between rheumatoid arthritis and coronary artery disease based on a digital gene expression profile." PLoS ONE 9.12 (2014): e113659.