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Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies

BACKGROUND: Interstitial lung abnormalities (ILA) are radiologic findings that may progress to idiopathic pulmonary fibrosis (IPF). Blood gene expression profiles can predict IPF mortality, but whether these same genes associate with ILA and ILA outcomes is unknown. This study evaluated if a previou...

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Autores principales: Moll, Matthew, Hobbs, Brian D., Menon, Aravind, Ghosh, Auyon J., Putman, Rachel K., Hino, Takuya, Hata, Akinori, Silverman, Edwin K., Quackenbush, John, Castaldi, Peter J., Hersh, Craig P., McGeachie, Michael J., Sin, Don D., Tal-Singer, Ruth, Nishino, Mizuki, Hatabu, Hiroto, Hunninghake, Gary M., Cho, Michael H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204872/
https://www.ncbi.nlm.nih.gov/pubmed/35715807
http://dx.doi.org/10.1186/s12931-022-02077-8
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author Moll, Matthew
Hobbs, Brian D.
Menon, Aravind
Ghosh, Auyon J.
Putman, Rachel K.
Hino, Takuya
Hata, Akinori
Silverman, Edwin K.
Quackenbush, John
Castaldi, Peter J.
Hersh, Craig P.
McGeachie, Michael J.
Sin, Don D.
Tal-Singer, Ruth
Nishino, Mizuki
Hatabu, Hiroto
Hunninghake, Gary M.
Cho, Michael H.
author_facet Moll, Matthew
Hobbs, Brian D.
Menon, Aravind
Ghosh, Auyon J.
Putman, Rachel K.
Hino, Takuya
Hata, Akinori
Silverman, Edwin K.
Quackenbush, John
Castaldi, Peter J.
Hersh, Craig P.
McGeachie, Michael J.
Sin, Don D.
Tal-Singer, Ruth
Nishino, Mizuki
Hatabu, Hiroto
Hunninghake, Gary M.
Cho, Michael H.
author_sort Moll, Matthew
collection PubMed
description BACKGROUND: Interstitial lung abnormalities (ILA) are radiologic findings that may progress to idiopathic pulmonary fibrosis (IPF). Blood gene expression profiles can predict IPF mortality, but whether these same genes associate with ILA and ILA outcomes is unknown. This study evaluated if a previously described blood gene expression profile associated with IPF mortality is associated with ILA and all-cause mortality. METHODS: In COPDGene and ECLIPSE study participants with visual scoring of ILA and gene expression data, we evaluated the association of a previously described IPF mortality score with ILA and mortality. We also trained a new ILA score, derived using genes from the IPF score, in a subset of COPDGene. We tested the association with ILA and mortality on the remainder of COPDGene and ECLIPSE. RESULTS: In 1469 COPDGene (training n = 734; testing n = 735) and 571 ECLIPSE participants, the IPF score was not associated with ILA or mortality. However, an ILA score derived from IPF score genes was associated with ILA (meta-analysis of test datasets OR 1.4 [95% CI: 1.2–1.6]) and mortality (HR 1.25 [95% CI: 1.12–1.41]). Six of the 11 genes in the ILA score had discordant directions of effects compared to the IPF score. The ILA score partially mediated the effects of age on mortality (11.8% proportion mediated). CONCLUSIONS: An ILA gene expression score, derived from IPF mortality-associated genes, identified genes with concordant and discordant effects on IPF mortality and ILA. These results suggest shared, and unique biologic processes, amongst those with ILA, IPF, aging, and death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02077-8.
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spelling pubmed-92048722022-06-18 Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies Moll, Matthew Hobbs, Brian D. Menon, Aravind Ghosh, Auyon J. Putman, Rachel K. Hino, Takuya Hata, Akinori Silverman, Edwin K. Quackenbush, John Castaldi, Peter J. Hersh, Craig P. McGeachie, Michael J. Sin, Don D. Tal-Singer, Ruth Nishino, Mizuki Hatabu, Hiroto Hunninghake, Gary M. Cho, Michael H. Respir Res Research BACKGROUND: Interstitial lung abnormalities (ILA) are radiologic findings that may progress to idiopathic pulmonary fibrosis (IPF). Blood gene expression profiles can predict IPF mortality, but whether these same genes associate with ILA and ILA outcomes is unknown. This study evaluated if a previously described blood gene expression profile associated with IPF mortality is associated with ILA and all-cause mortality. METHODS: In COPDGene and ECLIPSE study participants with visual scoring of ILA and gene expression data, we evaluated the association of a previously described IPF mortality score with ILA and mortality. We also trained a new ILA score, derived using genes from the IPF score, in a subset of COPDGene. We tested the association with ILA and mortality on the remainder of COPDGene and ECLIPSE. RESULTS: In 1469 COPDGene (training n = 734; testing n = 735) and 571 ECLIPSE participants, the IPF score was not associated with ILA or mortality. However, an ILA score derived from IPF score genes was associated with ILA (meta-analysis of test datasets OR 1.4 [95% CI: 1.2–1.6]) and mortality (HR 1.25 [95% CI: 1.12–1.41]). Six of the 11 genes in the ILA score had discordant directions of effects compared to the IPF score. The ILA score partially mediated the effects of age on mortality (11.8% proportion mediated). CONCLUSIONS: An ILA gene expression score, derived from IPF mortality-associated genes, identified genes with concordant and discordant effects on IPF mortality and ILA. These results suggest shared, and unique biologic processes, amongst those with ILA, IPF, aging, and death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02077-8. BioMed Central 2022-06-17 2022 /pmc/articles/PMC9204872/ /pubmed/35715807 http://dx.doi.org/10.1186/s12931-022-02077-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Moll, Matthew
Hobbs, Brian D.
Menon, Aravind
Ghosh, Auyon J.
Putman, Rachel K.
Hino, Takuya
Hata, Akinori
Silverman, Edwin K.
Quackenbush, John
Castaldi, Peter J.
Hersh, Craig P.
McGeachie, Michael J.
Sin, Don D.
Tal-Singer, Ruth
Nishino, Mizuki
Hatabu, Hiroto
Hunninghake, Gary M.
Cho, Michael H.
Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies
title Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies
title_full Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies
title_fullStr Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies
title_full_unstemmed Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies
title_short Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies
title_sort blood gene expression risk profiles and interstitial lung abnormalities: copdgene and eclipse cohort studies
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204872/
https://www.ncbi.nlm.nih.gov/pubmed/35715807
http://dx.doi.org/10.1186/s12931-022-02077-8
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