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The Effect of Statins on Blood Gene Expression in COPD

BACKGROUND: COPD is currently the fourth leading cause of death worldwide. Statins are lipid lowering agents with documented cardiovascular benefits. Observational studies have shown that statins may have a beneficial role in COPD. The impact of statins on blood gene expression from COPD patients is...

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Autores principales: Obeidat, Ma’en, Fishbane, Nick, Nie, Yunlong, Chen, Virginia, Hollander, Zsuzsanna, Tebbutt, Scott J., Bossé, Yohan, Ng, Raymond T., Miller, Bruce E., McManus, Bruce, Rennard, Stephen, Paré, Peter D., Sin, Don D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4604084/
https://www.ncbi.nlm.nih.gov/pubmed/26462087
http://dx.doi.org/10.1371/journal.pone.0140022
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author Obeidat, Ma’en
Fishbane, Nick
Nie, Yunlong
Chen, Virginia
Hollander, Zsuzsanna
Tebbutt, Scott J.
Bossé, Yohan
Ng, Raymond T.
Miller, Bruce E.
McManus, Bruce
Rennard, Stephen
Paré, Peter D.
Sin, Don D.
author_facet Obeidat, Ma’en
Fishbane, Nick
Nie, Yunlong
Chen, Virginia
Hollander, Zsuzsanna
Tebbutt, Scott J.
Bossé, Yohan
Ng, Raymond T.
Miller, Bruce E.
McManus, Bruce
Rennard, Stephen
Paré, Peter D.
Sin, Don D.
author_sort Obeidat, Ma’en
collection PubMed
description BACKGROUND: COPD is currently the fourth leading cause of death worldwide. Statins are lipid lowering agents with documented cardiovascular benefits. Observational studies have shown that statins may have a beneficial role in COPD. The impact of statins on blood gene expression from COPD patients is largely unknown. OBJECTIVE: Identify blood gene signature associated with statin use in COPD patients, and the pathways underpinning this signature that could explain any potential benefits in COPD. METHODS: Whole blood gene expression was measured on 168 statin users and 451 non-users from the ECLIPSE study using the Affymetrix Human Gene 1.1 ST microarray chips. Factor Analysis for Robust Microarray Summarization (FARMS) was used to process the expression data. Differential gene expression analysis was undertaken using the Linear Models for Microarray data (Limma) package adjusting for propensity score and surrogate variables. Similarity of the expression signal with published gene expression profiles was performed in ProfileChaser. RESULTS: 25 genes were differentially expressed between statin users and non-users at an FDR of 10%, including LDLR, CXCR2, SC4MOL, FAM108A1, IFI35, FRYL, ABCG1, MYLIP, and DHCR24. The 25 genes were significantly enriched in cholesterol homeostasis and metabolism pathways. The resulting gene signature showed correlation with Huntington’s disease, Parkinson’s disease and acute myeloid leukemia gene signatures. CONCLUSION: The blood gene signature of statins’ use in COPD patients was enriched in cholesterol homeostasis pathways. Further studies are needed to delineate the role of these pathways in lung biology.
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spelling pubmed-46040842015-10-20 The Effect of Statins on Blood Gene Expression in COPD Obeidat, Ma’en Fishbane, Nick Nie, Yunlong Chen, Virginia Hollander, Zsuzsanna Tebbutt, Scott J. Bossé, Yohan Ng, Raymond T. Miller, Bruce E. McManus, Bruce Rennard, Stephen Paré, Peter D. Sin, Don D. PLoS One Research Article BACKGROUND: COPD is currently the fourth leading cause of death worldwide. Statins are lipid lowering agents with documented cardiovascular benefits. Observational studies have shown that statins may have a beneficial role in COPD. The impact of statins on blood gene expression from COPD patients is largely unknown. OBJECTIVE: Identify blood gene signature associated with statin use in COPD patients, and the pathways underpinning this signature that could explain any potential benefits in COPD. METHODS: Whole blood gene expression was measured on 168 statin users and 451 non-users from the ECLIPSE study using the Affymetrix Human Gene 1.1 ST microarray chips. Factor Analysis for Robust Microarray Summarization (FARMS) was used to process the expression data. Differential gene expression analysis was undertaken using the Linear Models for Microarray data (Limma) package adjusting for propensity score and surrogate variables. Similarity of the expression signal with published gene expression profiles was performed in ProfileChaser. RESULTS: 25 genes were differentially expressed between statin users and non-users at an FDR of 10%, including LDLR, CXCR2, SC4MOL, FAM108A1, IFI35, FRYL, ABCG1, MYLIP, and DHCR24. The 25 genes were significantly enriched in cholesterol homeostasis and metabolism pathways. The resulting gene signature showed correlation with Huntington’s disease, Parkinson’s disease and acute myeloid leukemia gene signatures. CONCLUSION: The blood gene signature of statins’ use in COPD patients was enriched in cholesterol homeostasis pathways. Further studies are needed to delineate the role of these pathways in lung biology. Public Library of Science 2015-10-13 /pmc/articles/PMC4604084/ /pubmed/26462087 http://dx.doi.org/10.1371/journal.pone.0140022 Text en © 2015 Obeidat 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
Obeidat, Ma’en
Fishbane, Nick
Nie, Yunlong
Chen, Virginia
Hollander, Zsuzsanna
Tebbutt, Scott J.
Bossé, Yohan
Ng, Raymond T.
Miller, Bruce E.
McManus, Bruce
Rennard, Stephen
Paré, Peter D.
Sin, Don D.
The Effect of Statins on Blood Gene Expression in COPD
title The Effect of Statins on Blood Gene Expression in COPD
title_full The Effect of Statins on Blood Gene Expression in COPD
title_fullStr The Effect of Statins on Blood Gene Expression in COPD
title_full_unstemmed The Effect of Statins on Blood Gene Expression in COPD
title_short The Effect of Statins on Blood Gene Expression in COPD
title_sort effect of statins on blood gene expression in copd
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4604084/
https://www.ncbi.nlm.nih.gov/pubmed/26462087
http://dx.doi.org/10.1371/journal.pone.0140022
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