scholarly journals Expression profiling reveals differences in metabolic gene expression between exercise-induced cardiac effects and maladaptive cardiac hypertrophy

FEBS Journal ◽  
2005 ◽  
Vol 272 (11) ◽  
pp. 2684-2695 ◽  
Author(s):  
Claes C. Strøm ◽  
Mark Aplin ◽  
Thorkil Ploug ◽  
Tue E. H. Christoffersen ◽  
Jozef Langfort ◽  
...  
2005 ◽  
Vol 99 (4) ◽  
pp. 1359-1363 ◽  
Author(s):  
Laura J. Cluberton ◽  
Sean L. McGee ◽  
Robyn M. Murphy ◽  
Mark Hargreaves

Skeletal muscle possesses a high degree of plasticity and can adapt to both the physical and metabolic challenges that it faces. An acute bout of exercise is sufficient to induce the expression of a variety of metabolic genes, such as GLUT4, pyruvate dehydrogenase kinase 4 (PDK-4), uncoupling protein-3 (UCP3), and peroxisome proliferator-activated receptor-γ coactivator 1 (PGC-1). Reducing muscle glycogen levels before exercise potentiates the effect of exercise on many genes. Similarly, altered substrate availability induces transcription of many of these genes. The purpose of this study was to determine whether glucose ingestion attenuates the exercise-induced increase in a variety of exercise-responsive genes. Six male subjects (28 ± 7 yr; 83 ± 3 kg; peak pulmonary oxygen uptake = 46 ± 6 ml·kg−1·min−1) performed 60 min of cycling at 74 ± 2% of peak pulmonary oxygen uptake on two separate occasions. On one occasion, subjects ingested a 6% carbohydrate drink. On the other occasion, subjects ingested an equal volume of a sweet placebo. Muscle samples were obtained from vastus lateralis at rest, immediately after exercise, and 3 h after exercise. PDK-4, UCP3, PGC-1, and GLUT4 mRNA levels were measured on these samples using real-time RT-PCR. Glucose ingestion attenuated ( P < 0.05) the exercise-induced increase in PDK-4 and UCP3 mRNA. A similar trend ( P = 0.09) was observed for GLUT4 mRNA. In contrast, PGC-1 mRNA increased following exercise to the same extent in both conditions. These data suggest that glucose availability can modulate the effect of exercise on metabolic gene expression.


2005 ◽  
Vol 185 (4) ◽  
pp. 259-270 ◽  
Author(s):  
M. Iemitsu ◽  
S. Maeda ◽  
T. Miyauchi ◽  
M. Matsuda ◽  
H. Tanaka

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 233-LB
Author(s):  
XIN-HUA LIU ◽  
LAUREN HARLOW ◽  
ZACHARY GRAHAM ◽  
JOSHUA F. YARROW ◽  
KENNETH CUSI ◽  
...  

Circulation ◽  
2011 ◽  
Vol 123 (10) ◽  
pp. 1073-1082 ◽  
Author(s):  
Pankaj Shende ◽  
Isabelle Plaisance ◽  
Christian Morandi ◽  
Corinne Pellieux ◽  
Corinne Berthonneche ◽  
...  

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Anastacia M Garcia ◽  
Kathryn C Chatfield ◽  
Genevieve C Sparagna ◽  
Elisabeth K Phillips ◽  
Anis Karimpour-Fard ◽  
...  

Introduction: Despite current standard of care, heart failure (HF) remains a leading cause of death and indication for transplant in the single ventricle congenital heart disease (SV) population. However, little is known regarding the molecular mechanisms underlying remodeling and eventual HF in SV patients. The purpose of this study was to characterize the transcriptional profile of SV myocardium in both failing (SVHF) and non-failing (SVNF) SV patients compared to biventricular NF controls (BVNF). Furthermore, we conducted high resolution respirometry to assess mitochondrial function in each of these populations. Methods: Library prep was performed using the TruSeq Ribo Zero rRNA depletion kit, and 2x150 total RNAseq (Illumina HiSEQ 4000) was performed on age-matched explanted RV myocardium from BVNF (n=4 biventricular donors), SVNF (n=8 SV primary transplants, normal function), and SVHF (n=9 SV systolic HF transplants). Samples were aligned to hg19 and were normalized and annotated using the edgeR pipeline. Significant changes in gene expression were calculated using an FDR adjusted p-value (q<0.1; p<0.025). Respiration of myocardial mitochondria was measured using a stepwise protocol to evaluate respiratory capacity in an Oroboros Oxygraph system; n=6 SVHF, n=6 SVNF, n=18 BVNF. Results: RNAseq identified 1,007 differentially expressed genes in SVNF and 2,109 in SVHF myocardium relative to BVNF controls. Transcriptome pathway analysis demonstrated multiple pathways that are similarly dysregulated in SVNF and SVHF, while pathways involved in mitochondrial metabolism and function were significantly dysregulated specifically in the SVHF population. Moreover, mitochondrial oxygen flux was significantly decreased, particularly through complexes I and II, in SVHF relative to BVNF controls. Conclusions: Our results provide new insights into SVHF by identifying unique gene expression changes, including those related to metabolism, and impaired mitochondrial function. Together these data suggest dysregulated metabolic gene expression and mitochondrial dysfunction are phenotypes associated with the failing single ventricle and may serve as potential therapeutic targets for the treatment or prevention of HF in the SV population.


Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Rizwan Sarwar ◽  
Enrico Petretto ◽  
Han Lu ◽  
Blanche Schroen ◽  
Mande K Kumaran ◽  
...  

Intro: Although up to 60% of left ventricular mass (LVM) can be accounted for by extra-cardiac factors, the cause of remaining variance is uncharacterised. Hypothesis: Cardiac gene expression is under genetic control and these genetic effects account, at least in part, for the uncharacterised component of LVM. Method: We combined genetic linkage analysis with genome-wide expression profiling in a recombinant inbred (RI) rat strain panel to map the genetic determinants of cardiac gene expression, taking into account naturally occurring variation in blood pressure. Cardiac gene expression in 29 RI strains was quantified with 128 Affymetrix 230 2.0 microarrays, and linkage analysis of gene expression was performed with correction for multiple testing. Candidate genes for LVM were defined as gene colocalised with regions of the rat genome previously associated with LVM. Candidate genes identified in the rat were prioritised by assessing whether their human orthologues were dynamically regulated in heart biopsies from patients with cardiac hypertrophy undergoing surgery for aortic stenosis ( n =20) as compared to controls ( n =7), as determined with Affymetrix U133 microarrays. Results: We showed that genetic regulation of cardiac transcription is predominant when compared to extra-cardiac effects. This enabled us to determine the major control points of cardiac gene expression in the rat ( n =3,744, genome-wide P <0.05). A subset of 50 genes that mapped to themselves and colocalised with regions of the rat genome known to regulate LVM were identified. One of these 50 rat genes was mimecan or osteoglycin precursor ( Ogn ), whose orthologue showed the highest correlation with LVM out of the 22,284 probesets used in the human microarray analysis ( r =0.62, P =0.0008). We went on to refine the rat QTL associated with Ogn (peak LOD 4), and identified sequence variations that might be causative. We then showed that cardiac protein levels of OGN are increased in both rat and human hypertrophy. Conc: Combined linkage and expression studies provide a new and powerful systems approach to dissecting the pathophysiology of genetically complex traits. These data implicate Ogn as a primary genetic driver and biomarker of cardiac hypertrophy and warrant further functional testing.


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