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The Shared Crosstalk of Multiple Pathways Involved in the Inflammation between Rheumatoid Arthritis and Coronary Artery Disease Based on a Digital Gene Expression Profile

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...

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Autores principales: Niu, Xuyan, Lu, Cheng, Xiao, Cheng, Zhang, Zhiguo, Jiang, Miao, He, Dan, Bian, Yanqin, Zhang, Ge, Bian, Zhaoxiang, Lu, Aiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267808/
https://www.ncbi.nlm.nih.gov/pubmed/25514790
http://dx.doi.org/10.1371/journal.pone.0113659
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author Niu, Xuyan
Lu, Cheng
Xiao, Cheng
Zhang, Zhiguo
Jiang, Miao
He, Dan
Bian, Yanqin
Zhang, Ge
Bian, Zhaoxiang
Lu, Aiping
author_facet Niu, Xuyan
Lu, Cheng
Xiao, Cheng
Zhang, Zhiguo
Jiang, Miao
He, Dan
Bian, Yanqin
Zhang, Ge
Bian, Zhaoxiang
Lu, Aiping
author_sort Niu, Xuyan
collection PubMed
description 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 for optimizing the application of current drugs to more effectively treat these diseases simultaneously and for preventing one when the other is diagnosed.
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spelling pubmed-42678082014-12-26 The Shared Crosstalk of Multiple Pathways Involved in the Inflammation between Rheumatoid Arthritis and Coronary Artery Disease Based on a Digital Gene Expression Profile Niu, Xuyan Lu, Cheng Xiao, Cheng Zhang, Zhiguo Jiang, Miao He, Dan Bian, Yanqin Zhang, Ge Bian, Zhaoxiang Lu, Aiping PLoS One Research Article 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 for optimizing the application of current drugs to more effectively treat these diseases simultaneously and for preventing one when the other is diagnosed. Public Library of Science 2014-12-16 /pmc/articles/PMC4267808/ /pubmed/25514790 http://dx.doi.org/10.1371/journal.pone.0113659 Text en © 2014 Niu et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Niu, Xuyan
Lu, Cheng
Xiao, Cheng
Zhang, Zhiguo
Jiang, Miao
He, Dan
Bian, Yanqin
Zhang, Ge
Bian, Zhaoxiang
Lu, Aiping
The Shared Crosstalk of Multiple Pathways Involved in the Inflammation between Rheumatoid Arthritis and Coronary Artery Disease Based on a Digital Gene Expression Profile
title The Shared Crosstalk of Multiple Pathways Involved in the Inflammation between Rheumatoid Arthritis and Coronary Artery Disease Based on a Digital Gene Expression Profile
title_full The Shared Crosstalk of Multiple Pathways Involved in the Inflammation between Rheumatoid Arthritis and Coronary Artery Disease Based on a Digital Gene Expression Profile
title_fullStr The Shared Crosstalk of Multiple Pathways Involved in the Inflammation between Rheumatoid Arthritis and Coronary Artery Disease Based on a Digital Gene Expression Profile
title_full_unstemmed The Shared Crosstalk of Multiple Pathways Involved in the Inflammation between Rheumatoid Arthritis and Coronary Artery Disease Based on a Digital Gene Expression Profile
title_short The Shared Crosstalk of Multiple Pathways Involved in the Inflammation between Rheumatoid Arthritis and Coronary Artery Disease Based on a Digital Gene Expression Profile
title_sort shared crosstalk of multiple pathways involved in the inflammation between rheumatoid arthritis and coronary artery disease based on a digital gene expression profile
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267808/
https://www.ncbi.nlm.nih.gov/pubmed/25514790
http://dx.doi.org/10.1371/journal.pone.0113659
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