Chronic unloading of the failing heart with a left ventricular assist device (LVAD) can decrease cardiac mass and myocyte size and has the potential to improve contractile function. To study the effect of chronic ventricular unloading on myocardial gene expression, a microarray (U133A, Affymetrix) profiling gene expression was compared before and after LVAD support in seven patients with idiopathic dilated cardiomyopathy and end-stage heart failure. On average, 1,374 ± 155 genes were reported as “increased” and 1,629 ± 45 as “decreased” after LVAD support. A total of 130 gene transcripts achieved the strict criteria for upregulation and 49 gene transcripts for downregulation after LVAD support. Upregulated genes included a large proportion of transcription factors, genes related to cell growth/apoptosis/DNA repair, cell structure proteins, metabolism, and cell signaling/communication. LVAD support resulted in downregulation of genes for a group of cytokines. To validate the array data, 10 altered genes were confirmed by real-time RT-PCR. Further study showed that the phosphoinositide-3-kinase-forkhead protein pathway and proteins related to nitric oxide synthesis, including eNOS and dimethylarginine dimethylaminohydrolase isoform 1 (DDAH1, an enzyme regulating endogenous nitric oxide synthase activity), were significantly increased during the cardiac remodeling process. Increased eNOS and DDAH1 expression after LVAD support may contribute to improved endothelial function of the failing hearts.
Mechanical unloading of the heart with a left ventricular assist device (LVAD) significantly decreases mortality in patients with heart failure. Moreover, it provides a human model to define the critical regulatory genes governing myocardial remodeling in response to significant reductions in wall stress. Statistical analysis of a gene expression library of 19 paired human heart samples harvested at the time of LVAD implant and again at explant revealed a set of 22 genes that were downregulated and 85 genes that were upregulated in response to mechanical unloading with a false discovery rate of less than 1%. The analysis revealed a high percentage of genes involved in the regulation of vascular networks including neuropilin-1 (a VEGF receptor), FGF9, Sprouty1, stromal-derived factor 1, and endomucin. Taken together these findings suggest that mechanical unloading alters the regulation of vascular organization and migration in the heart. In addition to vascular signaling networks, GATA-4 binding protein, a critical mediator of myocyte hypertrophy, was significantly downregulated following mechanical unloading. In summary, these findings may have important implications for defining the role of mechanical stretch and load on autocrine/paracrine signals directing vascular organization in the failing human heart and the role of GATA-4 in orchestrating reverse myocardial remodeling. This unbiased gene discovery approach in paired human heart samples has the potential to provide critical clues to the next generation of therapeutic treatments aimed at heart failure.
Abstract Motivation: Heart failure affects more than 20 million people in the world. Heart transplantation is the most effective therapy, but the number of eligible patients far outweighs the number of available donor hearts. The left mechanical ventricular assist device (LVAD) has been developed as a successful substitution therapy that aids the failing ventricle while a patient is waiting for the donor heart. We obtained genomics data from paired human heart samples harvested at the time of LVAD implant and explant. The heart failure patients in our study were supported by the LVAD for various periods of time. The goal of this study is to model the relationship between the time of LVAD support and gene expression changes. Results: To serve the purpose, we propose a novel penalized partial least squares (PPLS) method to build a regression model. Compared with partial least squares and Breiman's random forest method, PPLS gives the best prediction results for the LVAD data.
The complement system is a powerful innate immune system deployed in the immediate response to pathogens and cancer cells. Complement factor H (CFH), one of the regulators involved in the complement cascade, can interrupt the death of target cells. Certain types of cancer, such as breast cancer, can adopt an aggressive phenotype, such as breast cancer stem cells (BCSCs), through enhancement of the defense system against complement attack by amplifying various complement regulators. However, little is known about the association between CFH and BCSCs. In the present study, the roles of CFH in the CSC characteristics and radioresistance of MDA-MB-231 human breast cancer cells were investigated. CFH knockdown in MDA-MB-231 cells decreased the viability of the cells upon complement cascade activation. Notably, CFH knockdown also decreased cell survival and suppressed mammosphere formation, cell migration and cell invasion by attenuating radioresistance. Additionally, CFH knockdown further enhanced irradiation-induced apoptosis through G2/M cell cycle arrest. It was also discovered that CFH knockdown attenuated the aggressive phenotypes of cancer cells by regulating CSC-associated gene expression. Finally, by microarray analysis, it was found that the expression of erythrocyte membrane protein band 4.1-like 3 (EPB41L3) was markedly increased following CFH knockdown. EPB41L3 inhibited ERK and activated the p38 MAPK signaling pathway. Taken together, these results indicated that CFH knockdown attenuated CSC properties and radioresistance in human breast cancer cells via controlling MAPK signaling and through upregulation of the tumor suppressor, EPB41L3.
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