The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Adenylate Kinase and AMP Signaling Networks: Metabolic Monitoring, Signal Communication and Body Energy Sensing
Open accessAbstract
Adenylate kinase and downstream AMP signaling is an integrated metabolic monitoring system which reads the cellular energy state in order to tune and report signals to metabolic sensors. A network of adenylate kinase isoforms (AK1-AK7) are distributed throughout intracellular compartments, interstitial space and body fluids to regulate energetic and metabolic signaling circuits, securing efficient cell energy economy, signal communication and stress response. The dynamics of adenylate kinase-catalyzed phosphotransfer regulates multiple intracellular and extracellular energy-dependent and nucleotide signaling processes, including excitation-contraction coupling, hormone secretion, cell and ciliary motility, nuclear transport, energetics of cell cycle, DNA synthesis and repair, and developmental programming. Metabolomic analyses indicate that cellular, interstitial and blood AMP levels are potential metabolic signals associated with vital functions including body energy sensing, sleep, hibernation and food intake. Either low or excess AMP signaling has been linked to human disease such as diabetes, obesity and hypertrophic cardiomyopathy. Recent studies indicate that derangements in adenylate kinase-mediated energetic signaling due to mutations in AK1, AK2 or AK7 isoforms are associated with hemolytic anemia, reticular dysgenesis and ciliary dyskinesia. Moreover, hormonal, food and antidiabetic drug actions are frequently coupled to alterations of cellular AMP levels and associated signaling. Thus, by monitoring energy state and generating and distributing AMP metabolic signals adenylate kinase represents a unique hub within the cellular homeostatic network.
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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
Yamauchi, T., Kamon, J., Minokoshi, Y., Ito, Y., Waki, H., Uchida, S., Yamashita, S., Noda, M., Kita, S., Ueki, K., et al. (2002) · Nature Medicine · doi:10.1038/nm788 · Cited by 4,238
OWEN, M. R., DORAN, E., & HALESTRAP, A. P. (2000) · Biochemical Journal · doi:10.1042/bj3480607 · Cited by 2,157
Resveratrol stimulates AMP kinase activity in neurons
Dasgupta, B., & Milbrandt, J. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610068104 · Cited by 723
Apfeld, J., O'Connor, G., McDonagh, T., DiStefano, P. S., & Curtis, R. (2004) · Genes & Development · doi:10.1101/gad.1255404 · Cited by 643
Akt activates the mammalian target of rapamycin by regulating cellular ATP level and AMPK activity
Hahn-Windgassen, A., Nogueira, V., Chen, C.-C., Skeen, J. E., Sonenberg, N., & Hay, N. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m502876200 · Cited by 539
The Glycogen-Binding Domain on the AMPK β Subunit Allows the Kinase to Act as a Glycogen Sensor
McBride, A., Ghilagaber, S., Nikolaev, A., & Hardie, D. G. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2008.11.008 · Cited by 432
Xue, B., & Kahn, B. B. (2006) · The Journal of Physiology · doi:10.1113/jphysiol.2006.113217 · Cited by 338
Toma, I., Kang, J. J., Sipos, A., Vargas, S., Bansal, E., Hanner, F., Meer, E., & Peti-Peterdi, J. (2008) · Journal of Clinical Investigation · doi:10.1172/jci33293 · Cited by 322
Thiazolidinediones can rapidly activate AMP-activated protein kinase in mammalian tissues
LeBrasseur, N. K., Kelly, M., Tsao, T.-S., Farmer, S. R., Saha, A. K., Ruderman, N. B., & Tomas, E. (2006) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00453.2005 · Cited by 276
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Rissone, A., Weinacht, K. G., la Marca, G., Bishop, K., Giocaliere, E., Jagadeesh, J., Felgentreff, K., Dobbs, K., Al-Herz, W., Jones, M., et al. (2015) · Journal of Experimental Medicine · doi:10.1084/jem.20141286 · Cited by 63
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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
Bortoluzzi, V. T., de Franceschi, I. D., Rieger, E., & Wannmacher, C. M. D. (2014) · Neurochemical Research · doi:10.1007/s11064-014-1353-8 · Cited by 19
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Schildhauer, F., Ryl, P. S. J., Lauer, S. M., Lenz, S., Barlas, A. B., Ouzounidis, V. R., Jeffrey, K., Marcu, D.-C., O’Reilly, F. J., Graziadei, A., et al. (2025) · Molecular Cell · doi:10.1016/j.molcel.2025.06.007 · Cited by 11
Wang, B., Wang, C., Chen, J., Liu, D., Sun, C., Zhang, J., Zhang, K., & Li, H. (2026) · Nature Machine Intelligence · doi:10.1038/s42256-026-01198-9 · Cited by 5
Metadata
- Authors
- Dzeja, P., & Terzic, A.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2009-04-17
- Volume
- 10
- Issue
- 4
- Pages
- 1729-1772
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W1986375719
- Cited by
- 475
- References
- 17
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- gold
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