The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Malonyl-CoA, fuel sensing, and insulin resistance
Abstract
Malonyl-CoA is an allosteric inhibitor of carnitine palmitoyltransferase (CPT) I, the enzyme that controls the transfer of long-chain fatty acyl (LCFA)-CoAs into the mitochondria where they are oxidized. In rat skeletal muscle, the formation of malonyl-CoA is regulated acutely (in minutes) by changes in the activity of the β-isoform of acetyl-CoA carboxylase (ACC β). This can occur by at least two mechanisms: one involving cytosolic citrate, an allosteric activator of ACC β and a precursor of its substrate cytosolic acetyl-CoA, and the other involving changes in ACC β phosphorylation. Increases in cytosolic citrate leading to an increase in the concentration of malonyl-CoA occur when muscle is presented with insulin and glucose, or when it is made inactive by denervation, in keeping with a diminished need for fatty acid oxidation in these situations. Conversely, during exercise, when the need of the muscle cell for fatty acid oxidation is increased, decreases in the ATP/AMP and/or creatine phosphate-to-creatine ratios activate an isoform of an AMP-activated protein kinase (AMPK), which phosphorylates ACC β and inhibits both its basal activity and activation by citrate. The central role of cytosolic citrate links this malonyl-CoA regulatory mechanism to the glucose-fatty acid cycle concept of Randle et al. (P. J. Randle, P. B. Garland. C. N. Hales, and E. A. Newsholme. Lancet 1: 785–789, 1963) and to a mechanism by which glucose might autoregulate its own use. A similar citrate-mediated malonyl-CoA regulatory mechanism appears to exist in other tissues, including the pancreatic β-cell, the heart, and probably the central nervous system. It is our hypothesis that by altering the cytosolic concentrations of LCFA-CoA and diacylglycerol, and secondarily the activity of one or more protein kinase C isoforms, changes in malonyl-CoA provide a link between fuel metabolism and signal transduction in these cells. It is also our hypothesis that dysregulation of the malonyl-CoA regulatory mechanism, if it leads to sustained increases in the concentrations of malonyl-CoA and cytosolic LCFA-CoA, could play a key role in the pathogenesis of insulin resistance in muscle. That it may contribute to abnormalities associated with the insulin resistance syndrome in other tissues and the development of obesity has also been suggested. Studies are clearly needed to test these hypotheses and to explore the notion that exercise and some pharmacological agents that increase insulin sensitivity act via effects on malonyl-CoA and/or cytosolic LCFA-CoA.
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Cites
Randle, P. J., Garland, P. B., Hales, C. N., & Newsholme, E. A. (1963) · The Lancet · doi:10.1016/s0140-6736(63)91500-9 · Cited by 5,093
The Mitochondrial Carnitine Palmitoyltransferase System — From Concept to Molecular Analysis
McGarry, J. D., & Brown, N. F. (1997) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1997.00001.x · Cited by 1,616
The AMP‐Activated Protein Kinase: Fuel Gauge of the Mammalian Cell?
Hardie, D. G., & Carling, D. (1997) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1997.00259.x · Cited by 1,317
Skeletal muscle triglyceride levels are inversely related to insulin action
Pan, D. A., Lillioja, S., Kriketos, A. D., Milner, M. R., Baur, L. A., Bogardus, C., Jenkins, A. B., & Storlien, L. H. (1997) · Diabetes · doi:10.2337/diabetes.46.6.983 · Cited by 1,179
Skeletal Muscle Triglyceride Levels Are Inversely Related to Insulin Action
Pan, D. A., Lillioja, S., Kriketos, A. D., Milner, M. R., Baur, L. A., Bogardus, C., Jenkins, A. B., & Storlien, L. H. (1997) · Diabetes · doi:10.2337/diab.46.6.983 · Cited by 1,179
Winder, W. W., & Hardie, D. G. (1996) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1996.270.2.e299 · Cited by 799
Acute stimulation of glucose metabolism in mice by leptin treatment
Kamohara, S., Burcelin, R., Halaas, J. L., Friedman, J. M., & Charron, M. J. (1997) · Nature · doi:10.1038/38717 · Cited by 708
What if Minkowski Had Been Ageusic? An Alternative Angle on Diabetes
McGarry, J. D. (1992) · Science · doi:10.1126/science.1439783 · Cited by 657
Mammalian AMP-activated protein kinase subfamily
Stapleton, D., Mitchelhill, K. I., Gao, G., Widmer, J., Michell, B. J., Teh, T., House, C. M., Fernandez, C. S., Cox, T., Witters, L. A., et al. (1996) · Journal of Biological Chemistry · doi:10.1074/jbc.271.2.611 · Cited by 652
Self-citationMcGarry, J. D., Mills, S. E., Long, C. S., & Foster, D. W. (1983) · Biochemical Journal · doi:10.1042/bj2140021 · Cited by 556
Cited by
Xu, H., Barnes, G. T., Yang, Q., Tan, G., Yang, D., Chou, C. J., Sole, J., Nichols, A., Ross, J. S., Tartaglia, L. A., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319451 · Cited by 6,760
Oxidative Stress and Stress-Activated Signaling Pathways: A Unifying Hypothesis of Type 2 Diabetes
Evans, J. L., Goldfine, I. D., Maddux, B. A., & Grodsky, G. M. (2002) · Endocrine Reviews · doi:10.1210/er.2001-0039 · Cited by 2,232
Leptin stimulates fatty-acid oxidation by activating AMP-activated protein kinase
Minokoshi, Y., Kim, Y.-B., Peroni, O. D., Fryer, L. G. D., Müller, C., Carling, D., & Kahn, B. B. (2002) · Nature · doi:10.1038/415339a · Cited by 2,053
Koves, T. R., Ussher, J. R., Noland, R. C., Slentz, D., Mosedale, M., Ilkayeva, O., Bain, J., Stevens, R., Dyck, J. R. B., Newgard, C. B., et al. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.013 · Cited by 1,990
AMP-kinase regulates food intake by responding to hormonal and nutrient signals in the hypothalamus
Minokoshi, Y., Alquier, T., Furukawa, N., Kim, Y.-B., Lee, A., Xue, B., Mu, J., Foufelle, F., Ferré, P., Birnbaum, M. J., et al. (2004) · Nature · doi:10.1038/nature02440 · Cited by 1,637
Metadata
- Authors
- Ruderman, N. B., Saha, A. K., Vavvas, D., & Witters, L. A.
- Venue
- American Journal of Physiology-Endocrinology and Metabolism
- Publisher
- American Physiological Society
- Published
- 1999-01-01
- Volume
- 276
- Issue
- 1
- Pages
- E1-E18
- ISSN
- 0193-1849 (ISSN-L)
- 1522-1555
- OpenAlex
- W170853393
- Cited by
- 650
- References
- 19
- FWCI
- 13.48
- Type
- journal article
- Language
- en
- Open access
- closed
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