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Mitochondria and Cardiovascular Aging
Open accessAbstract
Old age is a major risk factor for cardiovascular diseases. Several lines of evidence in experimental animal models have indicated the central role of mitochondria both in lifespan determination and in cardiovascular aging. In this article we review the evidence supporting the role of mitochondrial oxidative stress, mitochondrial damage and biogenesis as well as the crosstalk between mitochondria and cellular signaling in cardiac and vascular aging. Intrinsic cardiac aging in the murine model closely recapitulates age-related cardiac changes in humans (left ventricular hypertrophy, fibrosis and diastolic dysfunction), while the phenotype of vascular aging include endothelial dysfunction, reduced vascular elasticity, and chronic vascular inflammation. Both cardiac and vascular aging involve neurohormonal signaling (eg, renin–angiotensin, adrenergic, insulin-IGF1 signaling) and cell-autonomous mechanisms. The potential therapeutic strategies to improve mitochondrial function in aging and cardiovascular diseases are also discussed, with a focus on mitochondrial-targeted antioxidants, calorie restriction, calorie restriction mimetics, and exercise training.
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Cites
Resveratrol improves health and survival of mice on a high-calorie diet
Baur, J. A., Pearson, K. J., Price, N. L., Jamieson, H. A., Lerin, C., Kalra, A., Prabhu, V. V., Allard, J. S., Lopez-Lluch, G., Lewis, K., et al. (2006) · Nature · doi:10.1038/nature05354 · Cited by 4,290
Lagouge, M., Argmann, C., Gerhart-Hines, Z., Meziane, H., Lerin, C., Daussin, F., Messadeq, N., Milne, J., Lambert, P., Elliott, P., et al. (2006) · Cell · doi:10.1016/j.cell.2006.11.013 · Cited by 4,057
Small molecule activators of sirtuins extend Saccharomyces cerevisiae lifespan
Howitz, K. T., Bitterman, K. J., Cohen, H. Y., Lamming, D. W., Lavu, S., Wood, J. G., Zipkin, R. E., Chung, P., Kisielewski, A., Zhang, L.-L., et al. (2003) · Nature · doi:10.1038/nature01960 · Cited by 3,796
AMPK regulates energy expenditure by modulating NAD+ metabolism and SIRT1 activity
Cantó, C., Gerhart-Hines, Z., Feige, J. N., Lagouge, M., Noriega, L., Milne, J. C., Elliott, P. J., Puigserver, P., & Auwerx, J. (2009) · Nature · doi:10.1038/nature07813 · Cited by 3,300
Premature ageing in mice expressing defective mitochondrial DNA polymerase
Trifunovic, A., Wredenberg, A., Falkenberg, M., Spelbrink, J. N., Rovio, A. T., Bruder, C. E., Bohlooly-Y, M., Gidlöf, S., Oldfors, A., Wibom, R., et al. (2004) · Nature · doi:10.1038/nature02517 · Cited by 2,734
Bjelakovic, G., Nikolova, D., Gluud, L. L., Simonetti, R. G., & Gluud, C. (2007) · JAMA · doi:10.1001/jama.297.8.842 · Cited by 2,275
St-Pierre, J., Drori, S., Uldry, M., Silvaggi, J. M., Rhee, J., Jäger, S., Handschin, C., Zheng, K., Lin, J., Yang, W., et al. (2006) · Cell · doi:10.1016/j.cell.2006.09.024 · Cited by 2,233
Mitochondrial DNA mutations, oxidative stress, and apoptosis in mammalian aging
Kujoth, G. C., Hiona, A., Pugh, T. D., Someya, S., Panzer, K., Wohlgemuth, S. E., Hofer, T., Seo, A. Y., Sullivan, R., Jobling, W. A., et al. (2005) · Science · doi:10.1126/science.1112125 · Cited by 2,165
The p66shc adaptor protein controls oxidative stress response and life span in mammals
Migliaccio, E., Giorgio, M., Mele, S., Pelicci, G., Reboldi, P., Pandolfi, P. P., Lanfrancone, L., & Pelicci, P. G. (1999) · Nature · doi:10.1038/46311 · Cited by 1,712
Anderson, E. J., Lustig, M. E., Boyle, K. E., Woodlief, T. L., Kane, D. A., Lin, C.-T., Price, J. W., Kang, L., Rabinovitch, P. S., Szeto, H. H., et al. (2009) · Journal of Clinical Investigation · doi:10.1172/jci37048 · Cited by 1,253
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Zorov, D. B., Juhaszova, M., & Sollott, S. J. (2014) · Physiological Reviews · doi:10.1152/physrev.00026.2013 · Cited by 5,383
The role of mitochondria in aging
Bratic, A., & Larsson, N.-G. (2013) · Journal of Clinical Investigation · doi:10.1172/jci64125 · Cited by 1,087
Ungvari, Z., Tarantini, S., Donato, A. J., Galvan, V., & Csiszar, A. (2018) · Circulation Research · doi:10.1161/circresaha.118.311378 · Cited by 919
Self-citationThe pathophysiology of heart failure with preserved ejection fraction
Borlaug, B. A. (2014) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2014.83 · Cited by 726
Association of mitochondrial DNA copy number with cardiovascular disease
Ashar, F. N., Zhang, Y., Longchamps, R. J., Lane, J., Moes, A., Grove, M. L., Mychaleckyj, J. C., Taylor, K. D., Coresh, J., Rotter, J. I., et al. (2017) · JAMA Cardiology · doi:10.1001/jamacardio.2017.3683 · Cited by 295
Gioscia‐Ryan, R. A., LaRocca, T. J., Sindler, A. L., Zigler, M. C., Murphy, M. P., & Seals, D. R. (2014) · The Journal of Physiology · doi:10.1113/jphysiol.2013.268680 · Cited by 263
Diabetes and Cardiovascular Disease in Older Adults: Current Status and Future Directions
Halter, J. B., Musi, N., McFarland Horne, F., Crandall, J. P., Goldberg, A., Harkless, L., Hazzard, W. R., Huang, E. S., Kirkman, M. S., Plutzky, J., et al. (2014) · Diabetes · doi:10.2337/db14-0020 · Cited by 255
Oxidative stress and mitochondrial impairment: Key drivers in neurodegenerative disorders
Wen, P., Sun, Z., Gou, F., Wang, J., Fan, Q., Zhao, D., & Yang, L. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102667 · Cited by 253
Autophagy in Cardiovascular Aging
Abdellatif, M., Sedej, S., Carmona-Gutierrez, D., Madeo, F., & Kroemer, G. (2018) · Circulation Research · doi:10.1161/circresaha.118.312208 · Cited by 239
James, E. L., Michalek, R. D., Pitiyage, G. N., de Castro, A. M., Vignola, K. S., Jones, J., Mohney, R. P., Karoly, E. D., Prime, S. S., & Parkinson, E. K. (2015) · Journal of Proteome Research · doi:10.1021/pr501221g · Cited by 231
SIRT3 regulates progression and development of diseases of aging
McDonnell, E., Peterson, B. S., Bomze, H. M., & Hirschey, M. D. (2015) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2015.06.001 · Cited by 217
Zinovkin, R. A., & Zamyatnin, A. A. (2019) · Current Molecular Pharmacology · doi:10.2174/1874467212666181127151059 · Cited by 209
Han, Y., & Kim, S. Y. (2023) · Experimental & Molecular Medicine · doi:10.1038/s12276-022-00906-w · Cited by 201
Frailty in childhood cancer survivors
Ness, K. K., Armstrong, G. T., Kundu, M., Wilson, C. L., Tchkonia, T., & Kirkland, J. L. (2015) · Cancer · doi:10.1002/cncr.29211 · Cited by 188
Chen, X., Luo, Y., Zhu, Q., Zhang, J., Huang, H., Kan, Y., Li, D., Xu, M., Liu, S., Li, J., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00612-4 · Cited by 174
Toth, P., Tarantini, S., Springo, Z., Tucsek, Z., Gautam, T., Giles, C. B., Wren, J. D., Koller, A., Sonntag, W. E., Csiszar, A., et al. (2015) · Aging Cell · doi:10.1111/acel.12315 · Cited by 163
Self-citationKarnewar, S., Neeli, P. K., Panuganti, D., Kotagiri, S., Mallappa, S., Jain, N., Jerald, M. K., & Kotamraju, S. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2018.01.018 · Cited by 161
Mitochondrial dynamics: orchestrating the journey to advanced age
Biala, A. K., Dhingra, R., & Kirshenbaum, L. A. (2015) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2015.04.015 · Cited by 82
Inorganic nitrite supplementation for healthy arterial aging
Sindler, A. L., DeVan, A. E., Fleenor, B. S., & Seals, D. R. (2014) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01100.2013 · Cited by 68
Wang, W.-L., Shih, Y.-T., Wei, S.-Y., & Chiu, J.-J. (2025) · Journal of Biomedical Science · doi:10.1186/s12929-025-01177-z · Cited by 50
Reducing lipofuscin accumulation and cardiomyocytic senescence of aging heart by enhancing autophagy
Li, W.-W., Wang, H.-J., Tan, Y.-Z., Wang, Y.-L., Yu, S.-N., & Li, Z.-H. (2021) · Experimental Cell Research · doi:10.1016/j.yexcr.2021.112585 · Cited by 47
Chen, Y.-F., Hebert, V. Y., Stadler, K., Xue, S. Y., Slaybaugh, K., Luttrell-Williams, E., Glover, M. C., Krzywanski, D. M., & Dugas, T. R. (2019) · Cardiovascular Toxicology · doi:10.1007/s12012-019-09520-1 · Cited by 10
Metadata
- Authors
- Dai, D.-F., Rabinovitch, P. S., & Ungvari, Z.
- Venue
- Circulation Research
- Published
- 2012-04-13
- Volume
- 110
- Issue
- 8
- Pages
- 1109-1124
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2114215135
- Cited by
- 439
- References
- 35
- FWCI
- 14.06
- Type
- journal article
- Language
- en
- Open access
- bronze
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