The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Lipolysis – A highly regulated multi-enzyme complex mediates the catabolism of cellular fat stores
Open accessAbstract
Lipolysis is the biochemical pathway responsible for the catabolism of triacylglycerol (TAG) stored in cellular lipid droplets. The hydrolytic cleavage of TAG generates non-esterified fatty acids, which are subsequently used as energy substrates, essential precursors for lipid and membrane synthesis, or mediators in cell signaling processes. Consistent with its central importance in lipid and energy homeostasis, lipolysis occurs in essentially all tissues and cell types, it is most abundant, however, in white and brown adipose tissue. Over the last 5years, important enzymes and regulatory protein factors involved in lipolysis have been identified. These include an essential TAG hydrolase named adipose triglyceride lipase (ATGL) [annotated as patatin-like phospholipase domain-containing protein A2], the ATGL activator comparative gene identification-58 [annotated as α/β hydrolase containing protein 5], and the ATGL inhibitor G0/G1 switch gene 2. Together with the established hormone-sensitive lipase [annotated as lipase E] and monoglyceride lipase, these proteins constitute the basic "lipolytic machinery". Additionally, a large number of hormonal signaling pathways and lipid droplet-associated protein factors regulate substrate access and the activity of the "lipolysome". This review summarizes the current knowledge concerning the enzymes and regulatory processes governing lipolysis of fat stores in adipose and non-adipose tissues. Special emphasis will be given to ATGL, its regulation, and physiological function.
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Cites
Serum retinol binding protein 4 contributes to insulin resistance in obesity and type 2 diabetes
Yang, Q., Graham, T. E., Mody, N., Preitner, F., Peroni, O. D., Zabolotny, J. M., Kotani, K., Quadro, L., & Kahn, B. B. (2005) · Nature · doi:10.1038/nature03711 · Cited by 2,086
Brain monoglyceride lipase participating in endocannabinoid inactivation
Dinh, T. P., Carpenter, D., Leslie, F. M., Freund, T. F., Katona, I., Sensi, S. L., Kathuria, S., & Piomelli, D. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.152334899 · Cited by 1,373
Retinol-Binding Protein 4 and Insulin Resistance in Lean, Obese, and Diabetic Subjects
Graham, T. E., Yang, Q., Blüher, M., Hammarstedt, A., Ciaraldi, T. P., Henry, R. R., Wason, C. J., Oberbach, A., Jansson, P.-A., Smith, U., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa054862 · Cited by 1,319
Regulation of Lipolysis in Adipocytes
Duncan, R. E., Ahmadian, M., Jaworski, K., Sarkadi-Nagy, E., & Sul, H. S. (2007) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.27.061406.093734 · Cited by 1,021
Molecular Mechanisms Regulating Hormone-Sensitive Lipase and Lipolysis
Holm, C. (2003) · Biochemical Society Transactions · doi:10.1042/bst0311120 · Cited by 511
Skeletal Muscle Lipid Metabolism in Exercise and Insulin Resistance
Kiens, B. (2006) · Physiological Reviews · doi:10.1152/physrev.00023.2004 · Cited by 478
A feed-forward loop amplifies nutritional regulation of PNPLA3
Huang, Y., He, S., Li, J. Z., Seo, Y.-K., Osborne, T. F., Cohen, J. C., & Hobbs, H. H. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1003585107 · Cited by 386
Blockade of Endocannabinoid-Degrading Enzymes Attenuates Neuropathic Pain
Kinsey, S. G., Long, J. Z., O’Neal, S. T., Abdullah, R. A., Poklis, J. L., Boger, D. L., Cravatt, B. F., & Lichtman, A. H. (2009) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.109.155465 · Cited by 330
Huijsman, E., van de Par, C., Economou, C., van der Poel, C., Lynch, G. S., Schoiswohl, G., Haemmerle, G., Zechner, R., & Watt, M. J. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00190.2009 · Cited by 145
Self-citationAdipose triglyceride lipase deficiency causes tissue-specific changes in insulin signaling
Kienesberger, P. C., Lee, D., Pulinilkunnil, T., Brenner, D. S., Cai, L., Magnes, C., Koefeler, H. C., Streith, I. E., Rechberger, G. N., Haemmerle, G., et al. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.047787 · Cited by 120
Self-citationKinsey, S. G., Long, J. Z., Cravatt, B. F., & Lichtman, A. H. (2010) · The Journal of Pain · doi:10.1016/j.jpain.2010.04.001 · Cited by 118
Hoekstra, M., Li, Z., Kruijt, J. K., Eck, M. V., Berkel, T. J. C. V., & Kuiper, J. (2010) · Journal of Hepatology · doi:10.1016/j.jhep.2009.11.004 · Cited by 108
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The biophysics and cell biology of lipid droplets
Thiam, A. R., Farese Jr, R. V., & Walther, T. C. (2013) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3699 · Cited by 986
O’Sullivan, D., van der Windt, G. J. W., Huang, S. C.-C., Curtis, J. D., Chang, C.-H., Buck, M. D., Qiu, J., Smith, A. M., Lam, W. Y., DiPlato, L. M., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.06.005 · Cited by 790
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
Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention
Butler, L. M., Perone, Y., Dehairs, J., Lupien, L. E., de Laat, V., Talebi, A., Loda, M., Kinlaw, W. B., & Swinnen, J. V. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.07.013 · Cited by 589
The cell biology of fat expansion
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Metadata
- Authors
- Lass, A., Zimmermann, R., Oberer, M., & Zechner, R.
- Venue
- Progress in Lipid Research
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 50
- Issue
- 1
- Pages
- 14-27
- ISSN
- 0163-7827 (ISSN-L)
- OpenAlex
- W2129744834
- Cited by
- 640
- References
- 12
- FWCI
- 16.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
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