Literature DB >> 27495158

RNA expression profile of calcified bicuspid, tricuspid, and normal human aortic valves by RNA sequencing.

Sandra Guauque-Olarte1, Arnaud Droit2, Joël Tremblay-Marchand1, Nathalie Gaudreault1, Dimitri Kalavrouziotis1, Francois Dagenais1, Jonathan G Seidman3, Simon C Body3, Philippe Pibarot1, Patrick Mathieu1, Yohan Bossé4.   

Abstract

The molecular mechanisms leading to premature development of aortic valve stenosis (AS) in individuals with a bicuspid aortic valve are unknown. The objective of this study was to identify genes differentially expressed between calcified bicuspid aortic valves (BAVc) and tricuspid valves with (TAVc) and without (TAVn) AS using RNA sequencing (RNA-Seq). We collected 10 human BAVc and nine TAVc from men who underwent primary aortic valve replacement. Eight TAVn were obtained from men who underwent heart transplantation. mRNA levels were measured by RNA-Seq and compared between valve groups. Two genes were upregulated, and none were downregulated in BAVc compared with TAVc, suggesting a similar gene expression response to AS in individuals with bicuspid and tricuspid valves. There were 462 genes upregulated and 282 downregulated in BAVc compared with TAVn. In TAVc compared with TAVn, 329 genes were up- and 170 were downregulated. A total of 273 upregulated and 147 downregulated genes were concordantly altered between BAVc vs. TAVn and TAVc vs. TAVn, which represent 56 and 84% of significant genes in the first and second comparisons, respectively. This indicates that extra genes and pathways were altered in BAVc. Shared pathways between calcified (BAVc and TAVc) and normal (TAVn) aortic valves were also more extensively altered in BAVc. The top pathway enriched for genes differentially expressed in calcified compared with normal valves was fibrosis, which support the remodeling process as a therapeutic target. These findings are relevant to understand the molecular basis of AS in patients with bicuspid and tricuspid valves.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  RNA sequencing; bicuspid aortic valve; calcific aortic valve disease; calcific aortic valve stenosis; gene expression; pathways; transcriptome

Mesh:

Substances:

Year:  2016        PMID: 27495158      PMCID: PMC6195654          DOI: 10.1152/physiolgenomics.00041.2016

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  37 in total

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2.  Finding consistent patterns: a nonparametric approach for identifying differential expression in RNA-Seq data.

Authors:  Jun Li; Robert Tibshirani
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3.  Comparative transcriptome profiling in human bicuspid aortic valve disease using RNA sequencing.

Authors:  Ratnasari Padang; Richard D Bagnall; Tatiana Tsoutsman; Paul G Bannon; Christopher Semsarian
Journal:  Physiol Genomics       Date:  2014-12-29       Impact factor: 3.107

4.  Osseous and chondromatous metaplasia in calcific aortic valve stenosis.

Authors:  Matthew Torre; David H Hwang; Robert F Padera; Richard N Mitchell; Paul A VanderLaan
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5.  Association between plasma LDL particle size, valvular accumulation of oxidized LDL, and inflammation in patients with aortic stenosis.

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6.  Age-related differences in the pathogenesis of calcific aortic stenosis: the potential role of resistin.

Authors:  Dania Mohty; Philippe Pibarot; Jean-Pierre Després; Amélie Cartier; Benoit Arsenault; Frédéric Picard; Patrick Mathieu
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7.  Differential expression analysis for sequence count data.

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Journal:  Genome Biol       Date:  2010-10-27       Impact factor: 13.583

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
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Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  Sequencing of NOTCH1, GATA5, TGFBR1 and TGFBR2 genes in familial cases of bicuspid aortic valve.

Authors:  Ilenia Foffa; Lamia Ait Alì; Paola Panesi; Massimiliano Mariani; Pierluigi Festa; Nicoletta Botto; Cecilia Vecoli; Maria Grazia Andreassi
Journal:  BMC Med Genet       Date:  2013-04-11       Impact factor: 2.103

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  26 in total

1.  Identification of Immune-Associated Genes in Diagnosing Aortic Valve Calcification With Metabolic Syndrome by Integrated Bioinformatics Analysis and Machine Learning.

Authors:  Yufei Zhou; Wenxiang Shi; Di Zhao; Shengjue Xiao; Kai Wang; Jing Wang
Journal:  Front Immunol       Date:  2022-07-04       Impact factor: 8.786

2.  DNA methylation of a PLPP3 MIR transposon-based enhancer promotes an osteogenic programme in calcific aortic valve disease.

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Journal:  Cardiovasc Res       Date:  2018-09-01       Impact factor: 10.787

Review 3.  Adaptive immune cells in calcific aortic valve disease.

Authors:  Michael A Raddatz; Meena S Madhur; W David Merryman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2019-05-03       Impact factor: 4.733

Review 4.  Innate and adaptive immunity in cardiovascular calcification.

Authors:  Livia S A Passos; Adrien Lupieri; Dakota Becker-Greene; Elena Aikawa
Journal:  Atherosclerosis       Date:  2020-02-28       Impact factor: 5.162

5.  Identification of key genes and pathways in calcific aortic valve disease by bioinformatics analysis.

Authors:  Yiran Zhang; Liang Ma
Journal:  J Thorac Dis       Date:  2019-12       Impact factor: 2.895

Review 6.  Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis.

Authors:  Mark C Blaser; Simon Kraler; Thomas F Lüscher; Elena Aikawa
Journal:  Circ Res       Date:  2021-04-29       Impact factor: 17.367

7.  Identification of key genes in calcific aortic valve disease via weighted gene co-expression network analysis.

Authors:  Jin-Yu Sun; Yang Hua; Hui Shen; Qiang Qu; Jun-Yan Kan; Xiang-Qing Kong; Wei Sun; Yue-Yun Shen
Journal:  BMC Med Genomics       Date:  2021-05-21       Impact factor: 3.063

8.  A transcriptome-wide association study identifies PALMD as a susceptibility gene for calcific aortic valve stenosis.

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Journal:  Nat Commun       Date:  2018-03-07       Impact factor: 14.919

Review 9.  Macrophage lineages in heart valve development and disease.

Authors:  Andrew J Kim; Na Xu; Katherine E Yutzey
Journal:  Cardiovasc Res       Date:  2021-02-22       Impact factor: 10.787

10.  Artificial Intelligence Models Reveal Sex-Specific Gene Expression in Aortic Valve Calcification.

Authors:  Philip Sarajlic; Oscar Plunde; Anders Franco-Cereceda; Magnus Bäck
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