Correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complications

Aggravation of the chronic obstructive pulmonary disease (COPD) often leads to a slew of complications, but the correlation between COPD aggravation and the complications on the basis of molecular level remains unclear. In this study, gene expression profiles of COPD in patients at early and aggrava...

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Main Authors: Yuchen Cai, Runhan Liu, Xinhe Lu, Qiming Zhang, Xinwei Wang, Huijing Lian, Haohua Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Bioengineered
Subjects:
Online Access:http://dx.doi.org/10.1080/21655979.2020.1839216
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spelling doaj-f112f8d3bc784bbd8a1bad7dfb469b5f2021-06-02T08:43:41ZengTaylor & Francis GroupBioengineered2165-59792165-59872020-01-011111245125710.1080/21655979.2020.18392161839216Correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complicationsYuchen Cai0Runhan Liu1Xinhe Lu2Qiming Zhang3Xinwei Wang4Huijing Lian5Haohua Wang6School of Science, Hainan UniversitySchool of Science, Hainan UniversitySchool of Life and Pharmaceutical ScienceAnhui University of Science and TechnologyOcean University of ChinaHainan UniversitySchool of Science, Hainan UniversityAggravation of the chronic obstructive pulmonary disease (COPD) often leads to a slew of complications, but the correlation between COPD aggravation and the complications on the basis of molecular level remains unclear. In this study, gene expression profiles of COPD in patients at early and aggravation stages were collected and differentially-expressed genes were selected. Meanwhile, gene expression data implicated in COPD complications were analyzed to establish a regulatory network of COPD aggravation and COPD related complications. In addition, the gene enrichment function of DAVID6.7 was utilized to evaluate the similarities between COPD aggravation and COPD complications in term of biological process. By analyzing the genes of COPD aggravation and the COPD complications, we found 18 genes highly related to COPD aggravation, among which haptoglobin (HP) was correlated with 14 complications, followed by ADRB2, LCK and CA1, which were related to 13, 11 and 11 complications, respectively. As far as the complications concerned, obesity was regulated by 17 of the 18 genes, which indicated that there was a close correlation between COPD aggravation and obesity. Meanwhile, lung cancer, diabetes and heart failure were regulated by 15, 15 and 14 genes, respectively, among the 18 selected genes. This study suggested the driver genes of COPD aggravation were capable of extensively regulating COPD complications, which would provide a theoretical basis for development of cures for COPD and its complications.http://dx.doi.org/10.1080/21655979.2020.1839216chronic obstructive pulmonary diseasebioinformaticscomplicationshared gene
collection DOAJ
language English
format Article
sources DOAJ
author Yuchen Cai
Runhan Liu
Xinhe Lu
Qiming Zhang
Xinwei Wang
Huijing Lian
Haohua Wang
spellingShingle Yuchen Cai
Runhan Liu
Xinhe Lu
Qiming Zhang
Xinwei Wang
Huijing Lian
Haohua Wang
Correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complications
Bioengineered
chronic obstructive pulmonary disease
bioinformatics
complication
shared gene
author_facet Yuchen Cai
Runhan Liu
Xinhe Lu
Qiming Zhang
Xinwei Wang
Huijing Lian
Haohua Wang
author_sort Yuchen Cai
title Correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complications
title_short Correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complications
title_full Correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complications
title_fullStr Correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complications
title_full_unstemmed Correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complications
title_sort correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complications
publisher Taylor & Francis Group
series Bioengineered
issn 2165-5979
2165-5987
publishDate 2020-01-01
description Aggravation of the chronic obstructive pulmonary disease (COPD) often leads to a slew of complications, but the correlation between COPD aggravation and the complications on the basis of molecular level remains unclear. In this study, gene expression profiles of COPD in patients at early and aggravation stages were collected and differentially-expressed genes were selected. Meanwhile, gene expression data implicated in COPD complications were analyzed to establish a regulatory network of COPD aggravation and COPD related complications. In addition, the gene enrichment function of DAVID6.7 was utilized to evaluate the similarities between COPD aggravation and COPD complications in term of biological process. By analyzing the genes of COPD aggravation and the COPD complications, we found 18 genes highly related to COPD aggravation, among which haptoglobin (HP) was correlated with 14 complications, followed by ADRB2, LCK and CA1, which were related to 13, 11 and 11 complications, respectively. As far as the complications concerned, obesity was regulated by 17 of the 18 genes, which indicated that there was a close correlation between COPD aggravation and obesity. Meanwhile, lung cancer, diabetes and heart failure were regulated by 15, 15 and 14 genes, respectively, among the 18 selected genes. This study suggested the driver genes of COPD aggravation were capable of extensively regulating COPD complications, which would provide a theoretical basis for development of cures for COPD and its complications.
topic chronic obstructive pulmonary disease
bioinformatics
complication
shared gene
url http://dx.doi.org/10.1080/21655979.2020.1839216
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