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Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves

The genetic mechanisms underlying aortic stenosis (AS) and aortic insufficiency (AI) disease progression remain unclear. We hypothesized that normal aortic valves and those with AS or AI all exhibit unique transcriptional profiles. Normal control (NC) aortic valves were collected from non-matched do...

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Autores principales: Greene, Christina L., Jaatinen, Kevin J., Wang, Hanjay, Koyano, Tiffany K., Bilbao, Mary S., Woo, Y. Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397246/
https://www.ncbi.nlm.nih.gov/pubmed/32674273
http://dx.doi.org/10.3390/genes11070789
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author Greene, Christina L.
Jaatinen, Kevin J.
Wang, Hanjay
Koyano, Tiffany K.
Bilbao, Mary S.
Woo, Y. Joseph
author_facet Greene, Christina L.
Jaatinen, Kevin J.
Wang, Hanjay
Koyano, Tiffany K.
Bilbao, Mary S.
Woo, Y. Joseph
author_sort Greene, Christina L.
collection PubMed
description The genetic mechanisms underlying aortic stenosis (AS) and aortic insufficiency (AI) disease progression remain unclear. We hypothesized that normal aortic valves and those with AS or AI all exhibit unique transcriptional profiles. Normal control (NC) aortic valves were collected from non-matched donor hearts that were otherwise acceptable for transplantation (n = 5). Valves with AS or AI (n = 5, each) were collected from patients undergoing surgical aortic valve replacement. High-throughput sequencing of total RNA revealed 6438 differentially expressed genes (DEGs) for AS vs. NC, 4994 DEGs for AI vs. NC, and 2771 DEGs for AS vs. AI. Among 21 DEGs of interest, APCDD1L, CDH6, COL10A1, HBB, IBSP, KRT14, PLEKHS1, PRSS35, and TDO2 were upregulated in both AS and AI compared to NC, whereas ALDH1L1, EPHB1, GPX3, HIF3A, and KCNT1 were downregulated in both AS and AI (p < 0.05). COL11A1, H19, HIF1A, KCNJ6, PRND, and SPP1 were upregulated only in AS, and NPY was downregulated only in AS (p < 0.05). The functional network for AS clustered around ion regulation, immune regulation, and lipid homeostasis, and that for AI clustered around ERK1/2 regulation. Overall, we report transcriptional profiling data for normal human aortic valves from non-matched donor hearts that were acceptable for transplantation and demonstrated that valves with AS and AI possess unique genetic signatures. These data create a roadmap for the development of novel therapeutics to treat AS and AI.
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spelling pubmed-73972462020-08-16 Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves Greene, Christina L. Jaatinen, Kevin J. Wang, Hanjay Koyano, Tiffany K. Bilbao, Mary S. Woo, Y. Joseph Genes (Basel) Article The genetic mechanisms underlying aortic stenosis (AS) and aortic insufficiency (AI) disease progression remain unclear. We hypothesized that normal aortic valves and those with AS or AI all exhibit unique transcriptional profiles. Normal control (NC) aortic valves were collected from non-matched donor hearts that were otherwise acceptable for transplantation (n = 5). Valves with AS or AI (n = 5, each) were collected from patients undergoing surgical aortic valve replacement. High-throughput sequencing of total RNA revealed 6438 differentially expressed genes (DEGs) for AS vs. NC, 4994 DEGs for AI vs. NC, and 2771 DEGs for AS vs. AI. Among 21 DEGs of interest, APCDD1L, CDH6, COL10A1, HBB, IBSP, KRT14, PLEKHS1, PRSS35, and TDO2 were upregulated in both AS and AI compared to NC, whereas ALDH1L1, EPHB1, GPX3, HIF3A, and KCNT1 were downregulated in both AS and AI (p < 0.05). COL11A1, H19, HIF1A, KCNJ6, PRND, and SPP1 were upregulated only in AS, and NPY was downregulated only in AS (p < 0.05). The functional network for AS clustered around ion regulation, immune regulation, and lipid homeostasis, and that for AI clustered around ERK1/2 regulation. Overall, we report transcriptional profiling data for normal human aortic valves from non-matched donor hearts that were acceptable for transplantation and demonstrated that valves with AS and AI possess unique genetic signatures. These data create a roadmap for the development of novel therapeutics to treat AS and AI. MDPI 2020-07-14 /pmc/articles/PMC7397246/ /pubmed/32674273 http://dx.doi.org/10.3390/genes11070789 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Greene, Christina L.
Jaatinen, Kevin J.
Wang, Hanjay
Koyano, Tiffany K.
Bilbao, Mary S.
Woo, Y. Joseph
Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves
title Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves
title_full Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves
title_fullStr Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves
title_full_unstemmed Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves
title_short Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves
title_sort transcriptional profiling of normal, stenotic, and regurgitant human aortic valves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397246/
https://www.ncbi.nlm.nih.gov/pubmed/32674273
http://dx.doi.org/10.3390/genes11070789
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