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GPNMB contributes to a vicious circle for chronic obstructive pulmonary disease

Osteoporosis (OP) is significant and debilitating comorbidity of chronic obstructive pulmonary disease (COPD). We hypothesize that genetic variance identified with OP may also play roles in COPD. We have conducted a large-scale relation data analysis to explore the genes implicated with either OP or...

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Autores principales: Zhang, Xi-Juan, Cui, Zhong-Hua, Dong, Yan, Liang, Xiu-Wen, Zhao, Yan-Xin, Baranova, Ancha, Cao, Hongbao, Wang, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308735/
https://www.ncbi.nlm.nih.gov/pubmed/32478378
http://dx.doi.org/10.1042/BSR20194459
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author Zhang, Xi-Juan
Cui, Zhong-Hua
Dong, Yan
Liang, Xiu-Wen
Zhao, Yan-Xin
Baranova, Ancha
Cao, Hongbao
Wang, Ling
author_facet Zhang, Xi-Juan
Cui, Zhong-Hua
Dong, Yan
Liang, Xiu-Wen
Zhao, Yan-Xin
Baranova, Ancha
Cao, Hongbao
Wang, Ling
author_sort Zhang, Xi-Juan
collection PubMed
description Osteoporosis (OP) is significant and debilitating comorbidity of chronic obstructive pulmonary disease (COPD). We hypothesize that genetic variance identified with OP may also play roles in COPD. We have conducted a large-scale relation data analysis to explore the genes implicated with either OP or COPD, or both. Each gene linked to OP but not to COPD was further explored in a mega-analysis and partial mega-analysis of 15 independently collected COPD RNA expression datasets, followed by gene set enrichment analysis (GSEA) and literature-based pathway analysis to explore their functional linked to COPD. A multiple linear regression (MLR) model was built to study the possible influence of sample size, population region, and study date on the gene expression data in COPD. At the first step of the analysis, we have identified 918 genes associated with COPD, 581 with OP, and a significant overlap (P<2.30e-140; 210 overlapped genes). Partial mega-analysis showed that, one OP gene, GPNMB presented significantly increased expression in COPD patients (P-value = 0.0018; log fold change = 0.83). GPNMB was enriched in multiple COPD pathways and plays roles as a gene hub formulating multiple vicious COPD pathways included gene MMP9 and MYC. GPNMB could be a novel gene that plays roles in both COPD and OP. Partial mega-analysis is valuable in identify case-specific genes for COPD.
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spelling pubmed-73087352020-07-10 GPNMB contributes to a vicious circle for chronic obstructive pulmonary disease Zhang, Xi-Juan Cui, Zhong-Hua Dong, Yan Liang, Xiu-Wen Zhao, Yan-Xin Baranova, Ancha Cao, Hongbao Wang, Ling Biosci Rep Bioinformatics Osteoporosis (OP) is significant and debilitating comorbidity of chronic obstructive pulmonary disease (COPD). We hypothesize that genetic variance identified with OP may also play roles in COPD. We have conducted a large-scale relation data analysis to explore the genes implicated with either OP or COPD, or both. Each gene linked to OP but not to COPD was further explored in a mega-analysis and partial mega-analysis of 15 independently collected COPD RNA expression datasets, followed by gene set enrichment analysis (GSEA) and literature-based pathway analysis to explore their functional linked to COPD. A multiple linear regression (MLR) model was built to study the possible influence of sample size, population region, and study date on the gene expression data in COPD. At the first step of the analysis, we have identified 918 genes associated with COPD, 581 with OP, and a significant overlap (P<2.30e-140; 210 overlapped genes). Partial mega-analysis showed that, one OP gene, GPNMB presented significantly increased expression in COPD patients (P-value = 0.0018; log fold change = 0.83). GPNMB was enriched in multiple COPD pathways and plays roles as a gene hub formulating multiple vicious COPD pathways included gene MMP9 and MYC. GPNMB could be a novel gene that plays roles in both COPD and OP. Partial mega-analysis is valuable in identify case-specific genes for COPD. Portland Press Ltd. 2020-06-19 /pmc/articles/PMC7308735/ /pubmed/32478378 http://dx.doi.org/10.1042/BSR20194459 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY).
spellingShingle Bioinformatics
Zhang, Xi-Juan
Cui, Zhong-Hua
Dong, Yan
Liang, Xiu-Wen
Zhao, Yan-Xin
Baranova, Ancha
Cao, Hongbao
Wang, Ling
GPNMB contributes to a vicious circle for chronic obstructive pulmonary disease
title GPNMB contributes to a vicious circle for chronic obstructive pulmonary disease
title_full GPNMB contributes to a vicious circle for chronic obstructive pulmonary disease
title_fullStr GPNMB contributes to a vicious circle for chronic obstructive pulmonary disease
title_full_unstemmed GPNMB contributes to a vicious circle for chronic obstructive pulmonary disease
title_short GPNMB contributes to a vicious circle for chronic obstructive pulmonary disease
title_sort gpnmb contributes to a vicious circle for chronic obstructive pulmonary disease
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308735/
https://www.ncbi.nlm.nih.gov/pubmed/32478378
http://dx.doi.org/10.1042/BSR20194459
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