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The association between regional transcriptome profiles and lung volumes in response to mechanical ventilation and lung injury

BACKGROUND: Lung inhomogeneity plays a pivotal role in the development of ventilator-induced lung injury (VILI), particularly in the context of pre-existing lung injury. The mechanisms that underlie this interaction are poorly understood. We aimed to elucidate the regional transcriptomic response to...

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Autores principales: Song, Yong, Yen, Seiha, Preissner, Melissa, Bennett, Ellen, Dubsky, Stephen, Fouras, Andreas, Dargaville, Peter A., Zosky, Graeme R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857787/
https://www.ncbi.nlm.nih.gov/pubmed/35183181
http://dx.doi.org/10.1186/s12931-022-01958-2
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author Song, Yong
Yen, Seiha
Preissner, Melissa
Bennett, Ellen
Dubsky, Stephen
Fouras, Andreas
Dargaville, Peter A.
Zosky, Graeme R.
author_facet Song, Yong
Yen, Seiha
Preissner, Melissa
Bennett, Ellen
Dubsky, Stephen
Fouras, Andreas
Dargaville, Peter A.
Zosky, Graeme R.
author_sort Song, Yong
collection PubMed
description BACKGROUND: Lung inhomogeneity plays a pivotal role in the development of ventilator-induced lung injury (VILI), particularly in the context of pre-existing lung injury. The mechanisms that underlie this interaction are poorly understood. We aimed to elucidate the regional transcriptomic response to mechanical ventilation (MV), with or without pre-existing lung injury, and link this to the regional lung volume response to MV. METHODS: Adult female BALB/c mice were randomly assigned into one of four groups: Saline, MV, lipopolysaccharide (LPS) or LPS/MV. Lung volumes (tidal volume, Vt; end-expiratory volume, EEV) were measured at baseline or after 2 h of ventilation using four-dimensional computed tomography (4DCT). Regional lung tissue samples corresponding to specific imaging regions were analysed for the transcriptome response by RNA-Seq. Bioinformatics analyses were conducted and the regional expression of dysregulated gene clusters was then correlated with the lung volume response. RESULTS: MV in the absence of pre-existing lung injury was associated with regional variations in tidal stretch. The addition of LPS also caused regional increases in EEV. We identified 345, 141 and 184 region-specific differentially expressed genes in response to MV, LPS and LPS/MV, respectively. Amongst these candidate genes, up-regulation of genes related to immune responses were positively correlated with increased regional tidal stretch in the MV group, while dysregulation of genes associated with endothelial barrier related pathways were associated with increased regional EEV and Vt when MV was combined with LPS. Further protein–protein interaction analysis led to the identification of two protein clusters representing the PI3K/Akt and MEK/ERK signalling hubs which may explain the interaction between MV and LPS exposure. CONCLUSION: The biological pathways associated with lung volume inhomogeneity during MV, and MV in the presence of pre-existing inflammation, differed. MV related tidal stretch induced up-regulation of immune response genes, while LPS combined with MV disrupted PI3K/Akt and MEK/ERK signalling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-01958-2.
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spelling pubmed-88577872022-02-23 The association between regional transcriptome profiles and lung volumes in response to mechanical ventilation and lung injury Song, Yong Yen, Seiha Preissner, Melissa Bennett, Ellen Dubsky, Stephen Fouras, Andreas Dargaville, Peter A. Zosky, Graeme R. Respir Res Research BACKGROUND: Lung inhomogeneity plays a pivotal role in the development of ventilator-induced lung injury (VILI), particularly in the context of pre-existing lung injury. The mechanisms that underlie this interaction are poorly understood. We aimed to elucidate the regional transcriptomic response to mechanical ventilation (MV), with or without pre-existing lung injury, and link this to the regional lung volume response to MV. METHODS: Adult female BALB/c mice were randomly assigned into one of four groups: Saline, MV, lipopolysaccharide (LPS) or LPS/MV. Lung volumes (tidal volume, Vt; end-expiratory volume, EEV) were measured at baseline or after 2 h of ventilation using four-dimensional computed tomography (4DCT). Regional lung tissue samples corresponding to specific imaging regions were analysed for the transcriptome response by RNA-Seq. Bioinformatics analyses were conducted and the regional expression of dysregulated gene clusters was then correlated with the lung volume response. RESULTS: MV in the absence of pre-existing lung injury was associated with regional variations in tidal stretch. The addition of LPS also caused regional increases in EEV. We identified 345, 141 and 184 region-specific differentially expressed genes in response to MV, LPS and LPS/MV, respectively. Amongst these candidate genes, up-regulation of genes related to immune responses were positively correlated with increased regional tidal stretch in the MV group, while dysregulation of genes associated with endothelial barrier related pathways were associated with increased regional EEV and Vt when MV was combined with LPS. Further protein–protein interaction analysis led to the identification of two protein clusters representing the PI3K/Akt and MEK/ERK signalling hubs which may explain the interaction between MV and LPS exposure. CONCLUSION: The biological pathways associated with lung volume inhomogeneity during MV, and MV in the presence of pre-existing inflammation, differed. MV related tidal stretch induced up-regulation of immune response genes, while LPS combined with MV disrupted PI3K/Akt and MEK/ERK signalling. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-01958-2. BioMed Central 2022-02-19 2022 /pmc/articles/PMC8857787/ /pubmed/35183181 http://dx.doi.org/10.1186/s12931-022-01958-2 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
Song, Yong
Yen, Seiha
Preissner, Melissa
Bennett, Ellen
Dubsky, Stephen
Fouras, Andreas
Dargaville, Peter A.
Zosky, Graeme R.
The association between regional transcriptome profiles and lung volumes in response to mechanical ventilation and lung injury
title The association between regional transcriptome profiles and lung volumes in response to mechanical ventilation and lung injury
title_full The association between regional transcriptome profiles and lung volumes in response to mechanical ventilation and lung injury
title_fullStr The association between regional transcriptome profiles and lung volumes in response to mechanical ventilation and lung injury
title_full_unstemmed The association between regional transcriptome profiles and lung volumes in response to mechanical ventilation and lung injury
title_short The association between regional transcriptome profiles and lung volumes in response to mechanical ventilation and lung injury
title_sort association between regional transcriptome profiles and lung volumes in response to mechanical ventilation and lung injury
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857787/
https://www.ncbi.nlm.nih.gov/pubmed/35183181
http://dx.doi.org/10.1186/s12931-022-01958-2
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