The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Acylcarnitines—old actors auditioning for new roles in metabolic physiology
Open accessAbstract
Perturbations in metabolic pathways can cause substantial increases in plasma and tissue concentrations of long-chain acylcarnitines (LCACs). For example, the levels of LCACs and other acylcarnitines rise in the blood and muscle during exercise, as changes in tissue pools of acyl-coenzyme A reflect accelerated fuel flux that is incompletely coupled to mitochondrial energy demand and capacity of the tricarboxylic acid cycle. This natural ebb and flow of acylcarnitine generation and accumulation contrasts with that of inherited fatty acid oxidation disorders (FAODs), cardiac ischaemia or type 2 diabetes mellitus. These conditions are characterized by very high (FAODs, ischaemia) or modestly increased (type 2 diabetes mellitus) tissue and blood levels of LCACs. Although specific plasma concentrations of LCACs and chain-lengths are widely used as diagnostic markers of FAODs, research into the potential effects of excessive LCAC accumulation or the roles of acylcarnitines as physiological modulators of cell metabolism is lacking. Nevertheless, a growing body of evidence has highlighted possible effects of LCACs on disparate aspects of pathophysiology, such as cardiac ischaemia outcomes, insulin sensitivity and inflammation. This Review, therefore, aims to provide a theoretical framework for the potential consequences of tissue build-up of LCACs among individuals with metabolic disorders.
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Cites
Adipose Expression of Tumor Necrosis Factor-α: Direct Role in Obesity-Linked Insulin Resistance
Hotamisligil, G. S., Shargill, N. S., & Spiegelman, B. M. (1993) · Science · doi:10.1126/science.7678183 · Cited by 7,518
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
Myocardial Fatty Acid Metabolism in Health and Disease
Lopaschuk, G. D., Ussher, J. R., Folmes, C. D. L., Jaswal, J. S., & Stanley, W. C. (2010) · Physiological Reviews · doi:10.1152/physrev.00015.2009 · Cited by 2,179
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
Itani, S. I., Ruderman, N. B., Schmieder, F., & Boden, G. (2002) · Diabetes · doi:10.2337/diabetes.51.7.2005 · Cited by 1,390
Lee, J. Y., Sohn, K. H., Rhee, S. H., & Hwang, D. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m011695200 · Cited by 1,299
Holland, W. L., Brozinick, J. T., Wang, L.-P., Hawkins, E. D., Sargent, K. M., Liu, Y., Narra, K., Hoehn, K. L., Knotts, T. A., Siesky, A., et al. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.01.002 · Cited by 1,232
Self-citationHuman metabolic individuality in biomedical and pharmaceutical research
CARDIoGRAM, Suhre, K., Shin, S.-Y., Petersen, A.-K., Mohney, R. P., Meredith, D., Wägele, B., Altmaier, E., Deloukas, P., Erdmann, J., et al. (2011) · Nature · doi:10.1038/nature10354 · Cited by 1,017
Hediger, M. A., Romero, M. F., Peng, J.-B., Rolfs, A., Takanaga, H., & Bruford, E. A. (2004) · Pfl�gers Archiv European Journal of Physiology · doi:10.1007/s00424-003-1192-y · Cited by 985
Horvath, S. E., & Daum, G. (2013) · Progress in Lipid Research · doi:10.1016/j.plipres.2013.07.002 · Cited by 907
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Dynamics and functions of lipid droplets
Olzmann, J. A., & Carvalho, P. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0085-z · Cited by 2,740
New Horizons in Diabetic Neuropathy: Mechanisms, Bioenergetics, and Pain
Feldman, E. L., Nave, K.-A., Jensen, T. S., & Bennett, D. L. H. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.005 · Cited by 915
Nguyen, T. B., Louie, S. M., Daniele, J. R., Tran, Q., Dillin, A., Zoncu, R., Nomura, D. K., & Olzmann, J. A. (2017) · Developmental Cell · doi:10.1016/j.devcel.2017.06.003 · Cited by 610
Acylcarnitines: Nomenclature, Biomarkers, Therapeutic Potential, Drug Targets, and Clinical Trials
Dambrova, M., Makrecka-Kuka, M., Kuka, J., Vilskersts, R., Nordberg, D., Attwood, M. M., Smesny, S., Sen, Z. D., Guo, A. C., Oler, E., et al. (2022) · Pharmacological Reviews · doi:10.1124/pharmrev.121.000408 · Cited by 507
Simcox, J., Geoghegan, G., Maschek, J. A., Bensard, C. L., Pasquali, M., Miao, R., Lee, S., Jiang, L., Huck, I., Kershaw, E. E., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.08.006 · Cited by 277
Metadata
- Authors
- McCoin, C. S., Knotts, T. A., & Adams, S. H.
- Venue
- Nature Reviews Endocrinology
- Published
- 2015-08-25
- Volume
- 11
- Issue
- 10
- Pages
- 617-625
- ISSN
- 1759-5029 (ISSN-L)
- 1759-5037
- OpenAlex
- W2242613625
- Cited by
- 344
- References
- 72
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- green
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