Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1782349197654097920 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4267808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT niuxuyan thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT lucheng thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT xiaocheng thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT zhangzhiguo thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT jiangmiao thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT hedan thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT bianyanqin thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT zhangge thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT bianzhaoxiang thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT luaiping thesharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT niuxuyan sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT lucheng sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT xiaocheng sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT zhangzhiguo sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT jiangmiao sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT hedan sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT bianyanqin sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT zhangge sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT bianzhaoxiang sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile AT luaiping sharedcrosstalkofmultiplepathwaysinvolvedintheinflammationbetweenrheumatoidarthritisandcoronaryarterydiseasebasedonadigitalgeneexpressionprofile |