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RNA sequencing analyses in infants patients with coarctation of the aorta

BACKGROUND: Coarctation of the aorta (CoA) is a serious innate heart disease. Although surgery results are generally good, some complications such as recoarctation and aortic aneurysm or persistent hypertension were serious threats to patient’s health. To better understand the pathology of CoA and i...

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Autores principales: Liu, Aijun, Li, Bin, Yang, Ming, Gu, Yan, Qi, Lihua, Su, Junwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381523/
https://www.ncbi.nlm.nih.gov/pubmed/34425910
http://dx.doi.org/10.1186/s41065-021-00194-w
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author Liu, Aijun
Li, Bin
Yang, Ming
Gu, Yan
Qi, Lihua
Su, Junwu
author_facet Liu, Aijun
Li, Bin
Yang, Ming
Gu, Yan
Qi, Lihua
Su, Junwu
author_sort Liu, Aijun
collection PubMed
description BACKGROUND: Coarctation of the aorta (CoA) is a serious innate heart disease. Although surgery results are generally good, some complications such as recoarctation and aortic aneurysm or persistent hypertension were serious threats to patient’s health. To better understand the pathology of CoA and its underlying molecular mechanism is particularly important for early diagnosis and preventing the occurrence of its complications. However, the mechanisms of CoA remain unclear, especially for infants. METHODS: RNA sequencing (RNA-seq) was used to identify the differentially expressed genes (DEGs) in vascular tissues of 12 patients with CoA and 10 normal participants form 3- to 34-month-old infants. The characteristic of DEGs were validated by quantitative reverse transcription–polymerase chain reaction (qRT-PCR) and immunochemical staining (IHC) in vessels of patients with CoA and normal infants. RESULTS: A total of 2491 DEGs with the false discovery rate less than 0.05(> 1.5-fold, P < 0.05 change) were identified, including 443 upregulated genes and 2048 downregulated genes. The Gene Ontology enrichment analysis showed that 26 out of the 2491 DEGs identified were associated with cardiovascular diseases. These 26 genes were mainly associated with extracellular matrix (ECM) and smooth muscle cells (SMCs) differentiation. Three DEGs, that is, CNN1 (calponin), α-actinin1 and myosin heavy chain 11 MYH11, were validated using qRT-PCR and Western blot analysis. In addition, immunochemical staining showed that calponin and MYH11 were highly expressed on the surface and in the deep layers of the thickened intima respectively. CONCLUSION: This study comprehensively characterized the CoA transcriptome. Migration of extracellular matrix (ECM) and smooth muscle cells (SMCs) to the subendothelial space may be the major characteristic of CoA in infants.
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spelling pubmed-83815232021-08-23 RNA sequencing analyses in infants patients with coarctation of the aorta Liu, Aijun Li, Bin Yang, Ming Gu, Yan Qi, Lihua Su, Junwu Hereditas Research BACKGROUND: Coarctation of the aorta (CoA) is a serious innate heart disease. Although surgery results are generally good, some complications such as recoarctation and aortic aneurysm or persistent hypertension were serious threats to patient’s health. To better understand the pathology of CoA and its underlying molecular mechanism is particularly important for early diagnosis and preventing the occurrence of its complications. However, the mechanisms of CoA remain unclear, especially for infants. METHODS: RNA sequencing (RNA-seq) was used to identify the differentially expressed genes (DEGs) in vascular tissues of 12 patients with CoA and 10 normal participants form 3- to 34-month-old infants. The characteristic of DEGs were validated by quantitative reverse transcription–polymerase chain reaction (qRT-PCR) and immunochemical staining (IHC) in vessels of patients with CoA and normal infants. RESULTS: A total of 2491 DEGs with the false discovery rate less than 0.05(> 1.5-fold, P < 0.05 change) were identified, including 443 upregulated genes and 2048 downregulated genes. The Gene Ontology enrichment analysis showed that 26 out of the 2491 DEGs identified were associated with cardiovascular diseases. These 26 genes were mainly associated with extracellular matrix (ECM) and smooth muscle cells (SMCs) differentiation. Three DEGs, that is, CNN1 (calponin), α-actinin1 and myosin heavy chain 11 MYH11, were validated using qRT-PCR and Western blot analysis. In addition, immunochemical staining showed that calponin and MYH11 were highly expressed on the surface and in the deep layers of the thickened intima respectively. CONCLUSION: This study comprehensively characterized the CoA transcriptome. Migration of extracellular matrix (ECM) and smooth muscle cells (SMCs) to the subendothelial space may be the major characteristic of CoA in infants. BioMed Central 2021-08-23 /pmc/articles/PMC8381523/ /pubmed/34425910 http://dx.doi.org/10.1186/s41065-021-00194-w Text en © The Author(s) 2021 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
Liu, Aijun
Li, Bin
Yang, Ming
Gu, Yan
Qi, Lihua
Su, Junwu
RNA sequencing analyses in infants patients with coarctation of the aorta
title RNA sequencing analyses in infants patients with coarctation of the aorta
title_full RNA sequencing analyses in infants patients with coarctation of the aorta
title_fullStr RNA sequencing analyses in infants patients with coarctation of the aorta
title_full_unstemmed RNA sequencing analyses in infants patients with coarctation of the aorta
title_short RNA sequencing analyses in infants patients with coarctation of the aorta
title_sort rna sequencing analyses in infants patients with coarctation of the aorta
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381523/
https://www.ncbi.nlm.nih.gov/pubmed/34425910
http://dx.doi.org/10.1186/s41065-021-00194-w
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