Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1098010 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We aimed to disclose specific LV myocardial protein signatures possibly contributing to differential disease progression after aortic valve surgery in patients with chronic aortic stenosis and patients with chronic aortic regurgitation.
2023-05-10 | PXD039662 | Pride
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
Project description:We explored gene expression profile of human aortic valves in patients with or without aortic stenosis. The dataset that we generated constitutes a large-scale quantitative measurements of gene expression in normal and stenotic human valves. The goal was to compare gene expression levels between the two groups and identified a list of genes that are up- or down-regulated in aortic stenosis. Keywords: disease state analysis Gene expression was performed on ten normal and ten aortic stenosis valves
2009-07-09 | E-GEOD-12644 | biostudies-arrayexpress
Project description:The present study aimed to gain insights into the pathological process of Calcific Aortic Valve Disease (CAVD) in CHIP carriers. To this end, we screened for CHIP, by DNA sequencing of blood samples, a cohort of 168 patients with calcified aortic stenosis who had undergone valve replacement via transcatheter aortic valve implantation (TAVI) or surgically.
2022-08-02 | E-MTAB-11352 | biostudies-arrayexpress
Project description:<p><strong>BACKGROUND:</strong> 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.</p><p><strong>METHODS:</strong> 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.</p><p><strong>RESULTS:</strong> 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.</p><p><strong>CONCLUSIONS:</strong> 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.</p>
2020-02-03 | MTBLS1267 | MetaboLights
Project description:Heart valve diseases, such as aortic valve stenosis (AS) and mitral valve regurgitation (MR), are leading causes of heart failure. However, myocardial proteome studies in AS and MR are extremely rare. We profiled the proteome of 75 human left ventricular myocardial biopsies (AS=41, MR=17, controls=17) and detected disease- and sex-specific protein expression alterations. Patients with AS, for example, showed higher abundance of fibrosis-related proteins and lower abundance of proteins related to energy metabolism and protein synthesis capacity with prominent sex differences. This might explain the higher amount of myocardial mass and fibrosis and lower systolic cardiac function especially observed in male AS in our cohort and might help to find specific proteins as treatment targets. Our work provides detailed insight into myocardial protein alterations in AS and MR and expands, in combination with clinical parameters, the understanding of cardiac remodeling in female and male patients, aiming to improve disease- and sex-specific therapy.
2022-12-13 | PXD023800 | Pride
Project description:We explored gene expression profile of human aortic valves in patients with or without aortic stenosis. The dataset that we generated constitutes a large-scale quantitative measurements of gene expression in normal and stenotic human valves. The goal was to compare gene expression levels between the two groups and identified a list of genes that are up- or down-regulated in aortic stenosis. Keywords: disease state analysis
2009-07-09 | GSE12644 | GEO
Project description:We compared the circulating plasma microRNA profile in EDTA plasma in patients with aortic stenosis to a control group.
2015-08-25 | E-MTAB-2785 | biostudies-arrayexpress
Project description:Aortic valve cell heterogeneity increases during Aortic Valve Stenosis (AVS) progression. We used single cell RNA sequencing (scRNA-seq) to characterize valve cell phenotype in AVS patients.
2024-12-01 | GSE273980 | GEO
Project description:Patients with aortic stenosis are often indicated to aortic valve replacement to relief pressure overload. After surgery, patients experience a myocardial response commonly known as reverse remodeling, where structural and functional recovery are expected. Notwithstanding, some patients exhibit an incomplete response, whose biological mechanisms remain poorly understood. The pericardial fluid can be safely collected during valve replacement and its proteome composition reflects heart’s pathophysiological status. Taking this into account, we characterized pericardial fluid proteome of patients with complete and incomplete reverse remodeling following a shotgun LC-MS/MS (Orbitrap Q Exactive HF MS) approach. We aimed to improve the current understanding of the mechanisms underlying an incomplete reverse remodeling and to pinpoint surrogate prognostic markers for this condition. In the future, this data can be important to develop tools for early prognosis of incomplete reverse remodeling and to adjust medical/pharmacological therapies to maximize recovery.
2022-04-01 | PXD015607 | Pride