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Metabolic Mechanisms in Heart Failure
Abstract
Although neurohumoral antagonism has successfully reduced heart failure morbidity and mortality, the residual disability and death rate remains unacceptably high. Though abnormalities of myocardial metabolism are associated with heart failure, recent data suggest that heart failure may itself promote metabolic changes such as insulin resistance, in part through neurohumoral activation. A detrimental self-perpetuating cycle (heart failure → altered metabolism → heart failure) that promotes the progression of heart failure may thus be postulated. Accordingly, we review the cellular mechanisms and pathophysiology of altered metabolism and insulin resistance in heart failure. It is hypothesized that the ensuing detrimental myocardial energetic perturbations result from neurohumoral activation, increased adverse free fatty acid metabolism, decreased protective glucose metabolism, and in some cases insulin resistance. The result is depletion of myocardial ATP, phosphocreatine, and creatine kinase with decreased efficiency of mechanical work. On the basis of the mechanisms outlined, appropriate therapies to mitigate aberrant metabolism include intense neurohumoral antagonism, limitation of diuretics, correction of hypokalemia, exercise, and diet. We also discuss more novel mechanistic-based therapies to ameliorate metabolism and insulin resistance in heart failure. For example, metabolic modulators may optimize myocardial substrate utilization to improve cardiac function and exercise performance beyond standard care. The ultimate success of metabolic-based therapy will be manifest by its capacity further to lessen the residual mortality in heart failure.
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Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
Stratton, I. M. (2000) · BMJ · doi:10.1136/bmj.321.7258.405 · Cited by 9,059
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114
Effect of Rosiglitazone on the Risk of Myocardial Infarction and Death from Cardiovascular Causes
Nissen, S. E., & Wolski, K. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072761 · Cited by 4,675
Normalizing mitochondrial superoxide production blocks three pathways of hyperglycaemic damage
Nishikawa, T., Edelstein, D., Du, X. L., Yamagishi, S.-I., Matsumura, T., Kaneda, Y., Yorek, M. A., Beebe, D., Oates, P. J., Hammes, H.-P., et al. (2000) · Nature · doi:10.1038/35008121 · Cited by 4,277
Capes, S. E., Hunt, D., Malmberg, K., & Gerstein, H. C. (2000) · The Lancet · doi:10.1016/s0140-6736(99)08415-9 · Cited by 2,187
Mechanism of free fatty acid-induced insulin resistance in humans.
Roden, M., Price, T. B., Perseghin, G., Petersen, K. F., Rothman, D. L., Cline, G. W., & Shulman, G. I. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118742 · Cited by 1,539
Peroxisome proliferator–activated receptor γ coactivator-1 promotes cardiac mitochondrial biogenesis
Lehman, J. J., Barger, P. M., Kovacs, A., Saffitz, J. E., Medeiros, D. M., & Kelly, D. P. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10268 · Cited by 1,285
Physiological functions of the mitochondrial uncoupling proteins UCP2 and UCP3
Brand, M. D., & Esteves, T. C. (2005) · Cell Metabolism · doi:10.1016/j.cmet.2005.06.002 · Cited by 785
Adiponectin-mediated modulation of hypertrophic signals in the heart
Shibata, R., Ouchi, N., Ito, M., Kihara, S., Shiojima, I., Pimentel, D. R., Kumada, M., Sato, K., Schiekofer, S., Ohashi, K., et al. (2004) · Nature Medicine · doi:10.1038/nm1137 · Cited by 671
Cited by
Bhatti, J. S., Bhatti, G. K., & Reddy, P. H. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2016.11.010 · Cited by 1,655
Essential metals in health and disease
Jomova, K., Makova, M., Alomar, S. Y., Alwasel, S. H., Nepovimova, E., Kuca, K., Rhodes, C. J., & Valko, M. (2022) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2022.110173 · Cited by 1,121
Role of Mitochondrial Dysfunction in Insulin Resistance
Kim, J.-A., Wei, Y., & Sowers, J. R. (2008) · Circulation Research · doi:10.1161/circresaha.107.165472 · Cited by 1,103
Mudaliar, S., Alloju, S., & Henry, R. R. (2016) · Diabetes Care · doi:10.2337/dc16-0542 · Cited by 571
Mitochondrial biogenesis and dynamics in the developing and diseased heart
Dorn, G. W., Vega, R. B., & Kelly, D. P. (2015) · Genes & Development · doi:10.1101/gad.269894.115 · Cited by 470
Gorski, P. A., Ceholski, D. K., & Hajjar, R. J. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.01.005 · Cited by 213
Ectopic lipids and organ function.
Szendroedi, J., & Roden, M. (2009) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e328321b3a8 · Cited by 200
An essential cell-autonomous role for hepcidin in cardiac iron homeostasis
Lakhal-Littleton, S., Wolna, M., Chung, Y. J., Christian, H. C., Heather, L. C., Brescia, M., Ball, V., Diaz, R., Santos, A., Biggs, D., et al. (2016) · eLife · doi:10.7554/elife.19804 · Cited by 184
The Current Status of the Ketogenic Diet in Psychiatry
Bostock, E. C. S., Kirkby, K. C., & Taylor, B. V. M. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00043 · Cited by 127
Adiponectin resistance in skeletal muscle: Pathophysiological implications in chronic heart failure
Sente, T., Van Berendoncks, A. M., Hoymans, V. Y., & Vrints, C. J. (2016) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.12086 · Cited by 95
Mitochondria and Cardiac Hypertrophy.
Facundo, H. D. T. F., Brainard, R. E., Caldas, F. R. D. L., & Lucas, A. M. B. (2017) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-319-55330-6_11 · Cited by 70
Upadhyaya, B., Larsen, T., Barwari, S., Louwagie, E., Baack, M., & Dey, M. (2017) · Nutrients · doi:10.3390/nu9040407 · Cited by 40
Genomic and Proteomic Analysis of Myocarditis and Dilated Cardiomyopathy
Cooper, L. T., Onuma, O. K., Sagar, S., Oberg, A. L., Mahoney, D. W., Asmann, Y. W., & Liu, P. (2010) · Heart Failure Clinics · doi:10.1016/j.hfc.2009.08.012 · Cited by 30
Mehan, S., Bhalla, S., Siddiqui, E. M., Sharma, N., Shandilya, A., & Khan, A. (2022) · Degenerative Neurological and Neuromuscular Disease · doi:10.2147/dnnd.s247153 · Cited by 29
Preston, C. C., Larsen, T. D., Eclov, J. A., Louwagie, E. J., Gandy, T. C. T., Faustino, R. S., & Baack, M. L. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.570846 · Cited by 22
Louwagie, E. J., Larsen, T. D., Wachal, A. L., Gandy, T. C. T., Eclov, J. A., Rideout, T. C., Kern, K. A., Cain, J. T., Anderson, R. H., Mdaki, K. S., et al. (2020) · iScience · doi:10.1016/j.isci.2020.101746 · Cited by 20
Metadata
- Authors
- Ashrafian, H., Frenneaux, M. P., & Opie, L. H.
- Venue
- Circulation
- Published
- 2007-07-24
- Volume
- 116
- Issue
- 4
- Pages
- 434-448
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2129601242
- Cited by
- 521
- References
- 25
- FWCI
- 17.50
- Type
- journal article
- Language
- en
- Open access
- closed
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