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Mechanisms of Fibrotic Aortic Valve Stenosis

ABSTRACT: To examine molecular mechanisms of aortic valve stenosis in mice with hypertension and hypercholesterolemia, RNA-Seq was used during the developmental phase of stenosis to identify new gene targets.

ORGANISM(S): Mus musculus

PROVIDER: GSE71534 | GEO | 2016/03/07

SECONDARY ACCESSION(S): PRJNA291453

REPOSITORIES: GEO

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Metabolomics Characterization of Human Calcific Aortic Valve Stenosis

Project description:BACKGROUND: Calcific aortic valve stenosis (CAVS) is the most prevalent valvular heart disease in developed countries with significant morbidity and mortality. Given the poor understanding of the pathophysiological processes leading to CAVS, we utilized a joint non-targeted metabolomics and targeted lipidomics approach to better characterize the metabolic perturbations involved in its development and progression.METHODS: We collected human aortic valve tissue from 106 patients undergoing aortic valve replacement surgery. Our cohort represented aortic valvular hemodynamics from mild to severe aortic stenosis with varying degrees of valvular calcification.RESULTS: Seventy-two significantly differential (p<0.01) metabolites across different stages of CAVS severity were filtered and identified from the tissue metabolome. Each stage of valvular stenosis was characterized by a distinct metabolic signature. The top three perturbed metabolic pathways in the setting of CAVS involved glycerophospholipid metabolism, linoleic acid metabolism and primary bile acid biosynthesis. The lysophosphatidic acid species (LysoPA) exhibited significant (p<0.05) association with CAVS severity and were also found to select patients with accelerated rate of CAVS progression. Two LysoPA species namely, 18:2 LysoPA and 20:4 LysoPA, exhibited potential to serve as biomarkers of CAVS severity.CONCLUSIONS: The present study reports the largest and most comprehensive metabolomics analysis of human aortic valve stenosis that highlights the dysregulated LysoPA pathway involved in the pathogenesis of CAVS.

2020-02-03 | MTBLS1267 | MetaboLights

Aortic Valve Tissue: Stenosis vs. Sclerosis

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GWAS on Calcific Aortic Valve Stenosis

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MicroRNA profiling in aortic stenosis

Project description:We compared 15 severely diseased aortic valve sample to 16 control aortic valve samples using microRNA microarrays (Affymetrix GeneChip miRNA 2.0). The diseased samples were taken from areas of severe disease of aortic valves removed at aortic valve replacement for severe aortic stenosis. Control samples were obtained from macroscopically normal post-mortem aortic valves. In addition, we compared areas of mild or moderate disease on valves from participants with severe aortic stenosis to the same participant's severely diseased sample in seven participants.

2017-04-27 | E-MTAB-2766 | biostudies-arrayexpress

mRNA profiling in aortic stenosis

Project description:We compared mRNA profiles of 10 participants with severe aortic stenosis undergoing aortic valve replacement to 10 samples donated post-mortem.

2017-04-27 | E-MTAB-3105 | biostudies-arrayexpress

Expression data of human aortic valve cusps

Project description:Calcific aortic valve disease is the most common form of valvular heart disease in the Western World. Milder degrees of aortic valve calcification is called aortic sclerosis and severe calcification with impaired leaflet motion is called aortic stenosis. We used microarrays to detail the global programme of gene expression underlying cdevelopment of calcified aortic valve disease in humans.

2015-10-01 | GSE51472 | GEO

Aortic Valve Tissue: Stenosis vs. Sclerosis

Project description:We are looking at differential gene/protein expression in tissue from stenotic vs sclerotic human aortic valves in order to identify genetic predispositions for aortic valve disease, as well as novel targets for diagnostic and therapeutic strategies.

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Transcriptional Profiles of Aortic Valve from Calcific Aortic Valve Disease and Normal Control.

Project description:We report transcriptional profiles of aortic valve tissue from calcific aortic valve disease (CAVD) and normal control (non-CAVD). We collected the aortic valve tissues from five patients with CAVD who underwent aortic valve replacement due to severe aortic valve stenosis. Aortic valve samples from patients with non-calcified aortic valve resection due to heart transplantation (recipient heart) or aortic dissection were collected as the control (non-CAVD). The inclusion criteria for CAVD group were as follows: 50-75 years old; undergoing aortic valve replacement due to severe AVS with significantly valvular calcification. The inclusion criteria for non-CAVD group were as follows: non-calcified aortic valve resection due to heart transplantation (recipient heart) or aortic dissection. For each sample, total RNA was extracted, a cDNA library was generated, and an Illumina NovaSeq 6000 was used to sequence each sample. Stringtie software was used to count the fragment within each gene, and TMM algorithm was used for normalization. Differential expression analysis was performed using R package edgeR. Differentially expressed RNAs with |log2(FC)| value >1, q value [false discovery rate (FDR) adjusted P-value] <0.05, and one group’s mean fragments per kilobase of exon per million reads mapped (FPKM) >1, were assigned as differentially-expressed genes (DEGs).

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Transcription profiling of human heart characterizing the progression of heart failure in patients with aortic valve stenosis

Project description:Myocardial left ventricular biopsies from male patients (n=6) with isolated aortic stenosis and pronounced left ventricular hypertrophy undergoing aortic valve replacement were harvested either from hearts with normal ejection fraction (EF,>50%) or with low EF (<30%). Biopsies were further obtained from non-hypertrophied hearts with normal EF (>60%) from coronary artery disease patients undergoing coronary artery bypass graft surgery (n=3). Total RNA isolated from biopsies was analyzed using Affymetrix HG-U133A and U133B GeneChip sets.

2010-12-15 | E-MEXP-2296 | biostudies-arrayexpress

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