TY - JOUR
T1 - PGC-1α and ERRα target gene downregulation is a signature of the failing human heart
AU - Sihag, Smita
AU - Cresci, Sharon
AU - Li, Allie Y.
AU - Sucharov, Carmen C.
AU - Lehman, John J.
N1 - Funding Information:
The authors acknowledge the following public source for the microarray data: Genomics of Cardiovascular Development, Adaptation, and Remodeling, NHLBI Program for Genomic Applications, Harvard Medical School, URL: http://www.cardiogenomics.org [(November, 2006) accessed]. This work is supported in part by an N.I.H. KO8 AG024844 grant (J.J.L.) and an Alpha Omega Alpha Medical Student Research Fellowship (S.S.). Also, this work has been funded, in part, by N.I.H. 1K01HL088708-01 (C.C.S.), N.I.H. Specialized Center for Clinically-Oriented Research (SCCOR) in Cardiac Dysfunction and Disease P50 HL077113 (S.C.) and 5P60 DK20579 (S.C.). The authors thank Paul D. Allen for his help in obtaining microarray data from the Cardiogenomics Consortium, Vamsi K. Mootha for the advice on data processing and analysis, Daniel P. Kelly, Anthony J. Muslin, and Rakesh Nagarajan for their comments on the manuscript, and Mary Wingate for her assistance in manuscript preparation.
PY - 2009/2
Y1 - 2009/2
N2 - Heart failure is a cause of significant morbidity and mortality in developed nations, and results from a complex interplay between genetic and environmental factors. To discover gene regulatory networks underlying heart failure, we analyzed DNA microarray data based on left ventricular free-wall myocardium from 59 failing (32 ischemic cardiomyopathy, 27 idiopathic dilated cardiomyopathy) and 33 non-failing explanted human hearts from the Cardiogenomics Consortium. In particular, we sought to investigate cardiac gene expression changes at the level of individual genes, as well as biological pathways which contain groups of functionally related genes. Utilizing a combination of computational techniques, including Comparative Marker Selection and Gene Set Enrichment Analysis, we identified a subset of downstream gene targets of the master mitochondrial transcriptional regulator, peroxisome proliferator-activated receptor gamma coactivator-1α (PGC-1α), whose expression is collectively decreased in failing human hearts. We also observed decreased expression of the key PGC-1α regulatory partner, estrogen-related receptor α (ERRα), as well as ERRα target genes which may participate in the downregulation of mitochondrial metabolic capacity. Gene expression of the antiapoptotic Raf-1/extracellular signal-regulated kinase (ERK) pathway was decreased in failing hearts. Alterations in PGC-1α and ERRα target gene sets were significantly correlated with an important clinical parameter of disease severity - left ventricular ejection fraction, and were predictive of failing vs. non-failing phenotypes. Overall, our results implicate PGC-1α and ERRα in the pathophysiology of human heart failure, and define dynamic target gene sets sharing known interrelated regulatory mechanisms capable of contributing to the mitochondrial dysfunction characteristic of this disease process.
AB - Heart failure is a cause of significant morbidity and mortality in developed nations, and results from a complex interplay between genetic and environmental factors. To discover gene regulatory networks underlying heart failure, we analyzed DNA microarray data based on left ventricular free-wall myocardium from 59 failing (32 ischemic cardiomyopathy, 27 idiopathic dilated cardiomyopathy) and 33 non-failing explanted human hearts from the Cardiogenomics Consortium. In particular, we sought to investigate cardiac gene expression changes at the level of individual genes, as well as biological pathways which contain groups of functionally related genes. Utilizing a combination of computational techniques, including Comparative Marker Selection and Gene Set Enrichment Analysis, we identified a subset of downstream gene targets of the master mitochondrial transcriptional regulator, peroxisome proliferator-activated receptor gamma coactivator-1α (PGC-1α), whose expression is collectively decreased in failing human hearts. We also observed decreased expression of the key PGC-1α regulatory partner, estrogen-related receptor α (ERRα), as well as ERRα target genes which may participate in the downregulation of mitochondrial metabolic capacity. Gene expression of the antiapoptotic Raf-1/extracellular signal-regulated kinase (ERK) pathway was decreased in failing hearts. Alterations in PGC-1α and ERRα target gene sets were significantly correlated with an important clinical parameter of disease severity - left ventricular ejection fraction, and were predictive of failing vs. non-failing phenotypes. Overall, our results implicate PGC-1α and ERRα in the pathophysiology of human heart failure, and define dynamic target gene sets sharing known interrelated regulatory mechanisms capable of contributing to the mitochondrial dysfunction characteristic of this disease process.
KW - ERK
KW - ERRα
KW - Fatty acid oxidation
KW - Gene expression profiling
KW - Heart failure
KW - LCAD
KW - Mitochondria
KW - PGC-1α
KW - Raf-1
UR - https://www.scopus.com/pages/publications/58149293410
U2 - 10.1016/j.yjmcc.2008.10.025
DO - 10.1016/j.yjmcc.2008.10.025
M3 - Article
C2 - 19061896
AN - SCOPUS:58149293410
SN - 0022-2828
VL - 46
SP - 201
EP - 212
JO - Journal of Molecular and Cellular Cardiology
JF - Journal of Molecular and Cellular Cardiology
IS - 2
ER -