Project description:Calcific aortic valvular disease (CAVD) is characterized by sclerosis of the aortic valve leaflets and recent clinical studies have linked several other risk factors to this disease, including male sex. In this study we examined potential sex-related differences in gene expression profiles between porcine male and female valvular interstitial cells (VICs) to explore possible differences in CAVD propensity on the cellular level. RNA samples from three male and three female healthy porcine aortic valve leaflets (denuded of endothelial cells) were isolated, processed, and hybridized to AffymetrixM-BM-. GeneChip Porcine Genome microarrays according to manufacturerM-bM-^@M-^Ys instructions. Mean expression values of each probe set in the male samples were compared with those in the female samples.
Project description:Calcific aortic valvular disease (CAVD) is characterized by sclerosis of the aortic valve leaflets and recent clinical studies have linked several other risk factors to this disease, including male sex. In this study we examined potential sex-related differences in gene expression profiles between porcine male and female valvular interstitial cells (VICs) to explore possible differences in CAVD propensity on the cellular level.
Project description:Calcified aortic valve leaflets (CAVs) were explanted from patients with severe aortic valve stenosis undergoing aortic valve replacement at the Department of Cardiovascular Surgery, Union Hospital, affiliated to Tongji Medical College. Control non-calcified aortic valves with normal echocardiographic analyses were obtained during heart transplant procedures. RNA was extracted from valve leaflets and gene expression evaluated using the Arraystar Human mRNA Array. This study aimed to perform the expression analysis of mRNA on human aortic valves.
Project description:Multiple molecular and cellular mechanisms are associated with the initiation and progression of aortic valve disease. Alterations in ECM remodeling, increased expression of pro-inflammatory cytokines, calcification, lipid deposition and changes in valve cell phenotype have demonstrated roles in development of aortic valve disease. Mechanical stimulation has a significant role in determining the physiological properties of valve tissue and an altered hemodynamic environment may result in pathological changes. We used microarrays to detail the global of gene expression profiles underlying valve remodeling during valve exposure to of two levels of cyclic mechanical pressure (normotensive 0-80mmHg and hypertensive 0-120mmHg ) on porcine valve tissue transcriptome using Sus Scrofa cDNA microarrays from Affymetrix and we identified distinct classes of up-regulated genes during this process. Hybridizations were carried out with RNA isolated from six independetn samples of valve tissue exposed to normotensive and hypertensive pressure for 24 hours at 1hz frecuency. Differentially expressed genes were identified by The t test with the option of unequal variance was used to calculate P values for each gene. The fold change and Q values for each gene were calculated with SAM program with permutation of 500 . Biological modeling of the differentially expressed genes (DE) was carried out based on GO groups and network analysis in ingenuity Pathway Analysis (IPA). Experiment Overall Design: The experimental design included three biological samples of porcine valve leaflets exposed to cyclic pressures of 0-80 or 0-120 mmHg for 24 hours, representing normotensive and hypertensive diastolic transvalvular pressure, respectively. Using Affymetrix porcine microarrays, we compared global gene expression profiles of aortic valve leaflets exposed to elevated and normal physiological pressure conditions . The effects of cyclic pressure on the transcriptome was determined by comparing the quantity and magnitud of change in gene expression levels of valve leflets, as well evaluating the molecular function each gene has in the cell,in the presence of hypertennsive (experimental) and normotensve pressurec (control).
Project description:We explored the hypothesis that Serotonin (5HT) receptor signaling, that can be enhanced with 5HT transporter blockade with Fluoxetine (Fluox), in the aortic valve may vary based upon the biomechanical activity of the aortic valve leaflet. We used Affymetrix microarrays to study gene expression profiling of Porcine Aortic Valves (PAV) incubated under organ culture conditions for 24 hours in either a static state or with 10% cyclic stretch, simulating physiologic leaflet motion. PAV in the bioreactor with or without stretch were exposed to 5HT along or the combination 5HT plus Fluox. Fresh porcine aortic valves were obtained from a local abattoir. The three leaflets were excised from each valve and a rectangular section of tissue 15x10 mm was isolated from the central region of each valve cusp. These samples were randomized and assigned to one of four groups. The experimental groups were: 1) Static conditions with no agents added; 2) Cyclic stretch conditions with no agents added; 3) Static conditions with 5HT plus Fluox added; and 4) Cyclic stretch conditions with 5HT plus Fluox added.
Project description:Aortic valve stenosis (AVS) is a sexually dimorphic disease, with women often presenting with sustained fibrosis and men with more extensive calcification. However, the intracellular molecular mechanisms that drive these clinically important sex differences remain under explored. Hydrogel scaffolds were designed to recapitulate key aspects of the valve tissue microenvironment and serve as a platform for culture of sex-specific valvular interstitial cells (VICs; precursors to pro-fibrotic myofibroblasts). The hydrogel culture system was used to interrogate intracellular pathways involved in sex-dependent VIC-to-myofibroblast activation and deactivation. RNA-seq was used to define pathways likely to be involved in driving sex-dependent activation. Interventions using small molecule inhibitors were performed to provide mechanistic insight into sex-specific cellular responses to microenvironmental cues, including matrix stiffness and exogenously delivered biochemical factors. In both healthy porcine and human aortic valves, female leaflets had higher baseline activation of the myofibroblast marker, α-smooth muscle actin (α-SMA), compared to male leaflets. When isolated and cultured, female VICs had higher levels of basal α-SMA stress fibers that further increased in response to the hydrogel matrix stiffness, both of which were higher than male VICs. A transcriptomic analysis of male and female porcine VICs revealed Rho-associated protein kinase (RhoA/ROCK) signaling as a potential driver of this sex-dependent myofibroblast activation. Further, we found that genes that escape X-chromosome inactivation, such as BMX and STS (encoding for Bmx non-receptor tyrosine kinase and steroid sulfatase, respectively) partially regulate the elevated female myofibroblast activation via RhoA/ROCK signaling. This finding was confirmed by treating male and female VICs with endothelin-1 and plasminogen activator inhibitor-1, factors that are secreted by endothelial cells and known to drive myofibroblast activation via RhoA/ROCK signaling. Together, in vivo and in vitro results confirm sex-dependencies in myofibroblast activation pathways, and transcriptome analyses and small molecule interventions implicate genes that escape X-chromosome inactivation in regulating sex differences in AVS progression. Our results underscore the importance of considering sex as a biological variable to understand the molecular mechanisms of AVS and help guide sex-based precision therapies.
Project description:Rapacz Familial Hypercholesterolemic (RFH) swine have been used extensively in the vascular biology field as a robust model of complex atherosclerotic lesions. However, the heart valves from RFH swine have not been evaluated and it is unknown whether these animals develop calcific aortic valve disease without dietary intervention. Histological assessment of heart valve leaflets isolated from juvenile and adult swine revealed RFH swine develop the early hallmarks of the disease at two years of age. The goal of this microarray study was to gain some insight into the cellular and molecular mechanisms that lead to the observed hallmarks and initiation of the disease. RNA samples from three juvenile wild type, and three juvenile and four adult RFH swine aortic valve leaflets were isolated, processed, and hybridized to Affymetrix GeneChip Porcine Genome microarrays according to the manufacturer's instructions. The mean expression values of each probeset in the adult RFH samples were compared to those in the juvenile RFH samples. Likewise, the mean expression values of each probeset in the juvenile RFH samples were compared to those in the juvenile wild type samples.
Project description:Bicuspid aortic valve (BAV) is a common congenital cardiac anomaly, with an estimated incidence of 1-2%. It is responsible for the greatest burden of aortic valve disease in patients younger than 70 years in North America. We performed microRNA profiling in end-stage valve leaflets with BAV and TAV. Patients undergoing elective aortic valve replacement for aortic stenosis at St. Michael’s Hospital, University of Toronto, between June 2010 and June 2011 were enrolled. Aortic valve leaflets were obtained intraoperatively from patients with congenital bicuspid (BAV; N=10) and tricuspid aortic valves (TAV; N=10) at the time of valve replacement. Leaflets were flash frozen in liquid nitrogen. MiRNA was isolated using the miRNeasy kit (Qiagen, Hilden, Germany) according to the manufacturer`s instructions. For miRNA microarray analysis, total RNA was directly labeled with biotin and hybridized to the GenoExplorer microRNA human array containing 1583 human miRNA probes (Genosensor, Tempe, AZ) and the fluorescent signals were then scanned using a GenePix 4000b Biochip. The average of 3 mean fluorescence signal intensities for each miRNA probe was normalized to that for tRNAmet. Precursor miRNAs detected at 2-fold greater than background were considered to be expressed. Data were analyzed with GenePix 5.0 software, provided by GenoSensor Corp.