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Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload

This study analyzed microarray data of right ventricular (RV) tissue from rats exposed to pulmonary embolism to understand the initial dynamic transcriptional response to mechanical stress and compare it with experimental pulmonary hypertension (PH) models. The dataset included samples harvested fro...

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Autores principales: Kheyfets, Vitaly O., Kumar, Sushil, Heerdt, Paul M., Ichimura, Kenzo, Brown, R. Dale, Lucero, Melissa, Essafri, Ilham, Williams, Sarah, Stenmark, Kurt R., Spiekerkoetter, Edda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253685/
https://www.ncbi.nlm.nih.gov/pubmed/37298696
http://dx.doi.org/10.3390/ijms24119746
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author Kheyfets, Vitaly O.
Kumar, Sushil
Heerdt, Paul M.
Ichimura, Kenzo
Brown, R. Dale
Lucero, Melissa
Essafri, Ilham
Williams, Sarah
Stenmark, Kurt R.
Spiekerkoetter, Edda
author_facet Kheyfets, Vitaly O.
Kumar, Sushil
Heerdt, Paul M.
Ichimura, Kenzo
Brown, R. Dale
Lucero, Melissa
Essafri, Ilham
Williams, Sarah
Stenmark, Kurt R.
Spiekerkoetter, Edda
author_sort Kheyfets, Vitaly O.
collection PubMed
description This study analyzed microarray data of right ventricular (RV) tissue from rats exposed to pulmonary embolism to understand the initial dynamic transcriptional response to mechanical stress and compare it with experimental pulmonary hypertension (PH) models. The dataset included samples harvested from 55 rats at 11 different time points or RV locations. We performed principal component analysis (PCA) to explore clusters based on spatiotemporal gene expression. Relevant pathways were identified from fast gene set enrichment analysis using PCA coefficients. The RV transcriptomic signature was measured over several time points, ranging from hours to weeks after an acute increase in mechanical stress, and was found to be highly dependent on the severity of the initial insult. Pathways enriched in the RV outflow tracts of rats at 6 weeks after severe PE share many commonalities with experimental PH models, but the transcriptomic signature at the RV apex resembles control tissue. The severity of the initial pressure overload determines the trajectory of the transcriptomic response independent of the final afterload, but this depends on the location where the tissue is biopsied. Chronic RV pressure overload due to PH appears to progress toward similar transcriptomic endpoints.
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spelling pubmed-102536852023-06-10 Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload Kheyfets, Vitaly O. Kumar, Sushil Heerdt, Paul M. Ichimura, Kenzo Brown, R. Dale Lucero, Melissa Essafri, Ilham Williams, Sarah Stenmark, Kurt R. Spiekerkoetter, Edda Int J Mol Sci Article This study analyzed microarray data of right ventricular (RV) tissue from rats exposed to pulmonary embolism to understand the initial dynamic transcriptional response to mechanical stress and compare it with experimental pulmonary hypertension (PH) models. The dataset included samples harvested from 55 rats at 11 different time points or RV locations. We performed principal component analysis (PCA) to explore clusters based on spatiotemporal gene expression. Relevant pathways were identified from fast gene set enrichment analysis using PCA coefficients. The RV transcriptomic signature was measured over several time points, ranging from hours to weeks after an acute increase in mechanical stress, and was found to be highly dependent on the severity of the initial insult. Pathways enriched in the RV outflow tracts of rats at 6 weeks after severe PE share many commonalities with experimental PH models, but the transcriptomic signature at the RV apex resembles control tissue. The severity of the initial pressure overload determines the trajectory of the transcriptomic response independent of the final afterload, but this depends on the location where the tissue is biopsied. Chronic RV pressure overload due to PH appears to progress toward similar transcriptomic endpoints. MDPI 2023-06-05 /pmc/articles/PMC10253685/ /pubmed/37298696 http://dx.doi.org/10.3390/ijms24119746 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kheyfets, Vitaly O.
Kumar, Sushil
Heerdt, Paul M.
Ichimura, Kenzo
Brown, R. Dale
Lucero, Melissa
Essafri, Ilham
Williams, Sarah
Stenmark, Kurt R.
Spiekerkoetter, Edda
Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload
title Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload
title_full Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload
title_fullStr Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload
title_full_unstemmed Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload
title_short Characterizing the Spatiotemporal Transcriptomic Response of the Right Ventricle to Acute Pressure Overload
title_sort characterizing the spatiotemporal transcriptomic response of the right ventricle to acute pressure overload
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253685/
https://www.ncbi.nlm.nih.gov/pubmed/37298696
http://dx.doi.org/10.3390/ijms24119746
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