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FAT SIGNALS - Lipases and Lipolysis in Lipid Metabolism and Signaling
Open accessAbstract
Lipolysis is defined as the catabolism of triacylglycerols stored in cellular lipid droplets. Recent discoveries of essential lipolytic enzymes and characterization of numerous regulatory proteins and mechanisms have fundamentally changed our perception of lipolysis and its impact on cellular metabolism. New findings that lipolytic products and intermediates participate in cellular signaling processes and that "lipolytic signaling" is particularly important in many nonadipose tissues unveil a previously underappreciated aspect of lipolysis, which may be relevant for human disease.
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Citations
Cites
Autophagy in the Pathogenesis of Disease
Levine, B., & Kroemer, G. (2008) · Cell · doi:10.1016/j.cell.2007.12.018 · Cited by 7,069
Autophagy regulates lipid metabolism
Singh, R., Kaushik, S., Wang, Y., Xiang, Y., Novak, I., Komatsu, M., Tanaka, K., Cuervo, A. M., & Czaja, M. J. (2009) · Nature · doi:10.1038/nature07976 · Cited by 3,975
Human Fatty Liver Disease: Old Questions and New Insights
Cohen, J. C., Horton, J. D., & Hobbs, H. H. (2011) · Science · doi:10.1126/science.1204265 · Cited by 2,089 · cited 1×
“A role for neutral lipid metabolism in signaling gained substantial interest when it was noted that increased cellular TG concentrations are strongly associated with insulin resistance in skeletal muscle and liver (Cohen et al., 2011; Kelley et al., 2002).”
BackgroundDefective Hepatic Autophagy in Obesity Promotes ER Stress and Causes Insulin Resistance
Yang, L., Li, P., Fu, S., Calay, E. S., & Hotamisligil, G. S. (2010) · Cell Metabolism · doi:10.1016/j.cmet.2010.04.005 · Cited by 1,274
Monoacylglycerol lipase regulates a fatty acid network that promotes cancer pathogenesis
Nomura, D. K., Long, J. Z., Niessen, S., Hoover, H. S., Ng, S.-W., & Cravatt, B. F. (2010) · Cell · doi:10.1016/j.cell.2009.11.027 · Cited by 1,002
M USCLE T RIGLYCERIDE AND I NSULIN R ESISTANCE
Kelley, D. E., Goodpaster, B. H., & Storlien, L. (2002) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.22.010402.102912 · Cited by 364
Chibalin, A. V., Leng, Y., Vieira, E., Krook, A., Björnholm, M., Long, Y. C., Kotova, O., Zhong, Z., Sakane, F., Steiler, T., et al. (2008) · Cell · doi:10.1016/j.cell.2007.12.035 · Cited by 232
Sphingolipids and insulin resistance: the five Ws
Summers, S. A. (2010) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e3283373b66 · Cited by 136
Adipose 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
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PPARγ signaling and metabolism: the good, the bad and the future
Ahmadian, M., Suh, J. M., Hah, N., Liddle, C., Atkins, A. R., Downes, M., & Evans, R. M. (2013) · Nature Medicine · doi:10.1038/nm.3159 · Cited by 2,016
Adipose tissue browning and metabolic health
Bartelt, A., & Heeren, J. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2013.204 · Cited by 1,177
Rambold, A. S., Cohen, S., & Lippincott-Schwartz, J. (2015) · Developmental Cell · doi:10.1016/j.devcel.2015.01.029 · Cited by 1,038
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
Modeling Steatohepatitis in Humans with Pluripotent Stem Cell-Derived Organoids
Ouchi, R., Togo, S., Kimura, M., Shinozawa, T., Koido, M., Koike, H., Thompson, W., Karns, R. A., Mayhew, C. N., McGrath, P. S., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.007 · Cited by 537
Long Noncoding RNA in Cancer: Wiring Signaling Circuitry
Lin, C., & Yang, L. (2018) · Trends in Cell Biology · doi:10.1016/j.tcb.2017.11.008 · Cited by 488
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Horn, P., & Tacke, F. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.05.003 · Cited by 432
Lipid droplets in neurodegenerative disorders
Farmer, B. C., Walsh, A. E., Kluemper, J. C., & Johnson, L. A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00742 · Cited by 270
Role of intramyocelluar lipids in human health
Coen, P. M., & Goodpaster, B. H. (2012) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2012.05.009 · Cited by 252
Lipid Droplets as Immune Modulators in Myeloid Cells
den Brok, M. H., Raaijmakers, T. K., Collado-Camps, E., & Adema, G. J. (2018) · Trends in Immunology · doi:10.1016/j.it.2018.01.012 · Cited by 203
Autophagy regulates lipid metabolism through selective turnover of NCoR1
Saito, T., Kuma, A., Sugiura, Y., Ichimura, Y., Obata, M., Kitamura, H., Okuda, S., Lee, H.-C., Ikeda, K., Kanegae, Y., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08829-3 · Cited by 193
Patra, K. C., Kato, Y., Mizukami, Y., Widholz, S., Boukhali, M., Revenco, I., Grossman, E. A., Ji, F., Sadreyev, R. I., Liss, A. S., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0122-3 · Cited by 192
Perreault, L., Newsom, S. A., Strauss, A., Kerege, A., Kahn, D. E., Harrison, K. A., Snell-Bergeon, J. K., Nemkov, T., D’Alessandro, A., Jackman, M. R., et al. (2018) · JCI Insight · doi:10.1172/jci.insight.96805 · Cited by 184
Targeting fatty acid metabolism to improve glucose metabolism
Stinkens, R., Goossens, G. H., Jocken, J. W. E., & Blaak, E. E. (2015) · Obesity Reviews · doi:10.1111/obr.12298 · Cited by 183
Lipolysis and lipases in white adipose tissue – An update
Bolsoni-Lopes, A., & Alonso-Vale, M. I. C. (2015) · Archives of Endocrinology and Metabolism · doi:10.1590/2359-3997000000067 · Cited by 183
Glycolytic Metabolism, Brain Resilience, and Alzheimer’s Disease
Zhang, X., Alshakhshir, N., & Zhao, L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.662242 · Cited by 134
An Overview of Hormone-Sensitive Lipase (HSL)
Althaher, A. R. (2022) · The Scientific World Journal · doi:10.1155/2022/1964684 · Cited by 129
Johnson, S. M., Bao, H., McMahon, C. E., Chen, Y., Burr, S. D., Anderson, A. M., Madeyski-Bengtson, K., Lindén, D., Han, X., & Liu, J. (2024) · Nature Communications · doi:10.1038/s41467-024-49224-x · Cited by 100
Age-dependent loss of adipose Rubicon promotes metabolic disorders via excess autophagy
Yamamuro, T., Kawabata, T., Fukuhara, A., Saita, S., Nakamura, S., Takeshita, H., Fujiwara, M., Enokidani, Y., Yoshida, G., Tabata, K., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17985-w · Cited by 97
Inhibition of monoacylglycerol lipase, an anti-inflammatory and antifibrogenic strategy in the liver
Habib, A., Chokr, D., Wan, J., Hegde, P., Mabire, M., Siebert, M., Ribeiro-Parenti, L., Le Gall, M., Lettéron, P., Pilard, N., et al. (2019) · Gut · doi:10.1136/gutjnl-2018-316137 · Cited by 91
Secreted phospholipases A2 in cancer: Diverse mechanisms of action
Brglez, V., Lambeau, G., & Petan, T. (2014) · Biochimie · doi:10.1016/j.biochi.2014.09.023 · Cited by 89
Dynamics of skeletal muscle lipid pools
Badin, P.-M., Langin, D., & Moro, C. (2013) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2013.08.001 · Cited by 80
The ubiquitous role of ubiquitination in lipid metabolism
Loix, M., Zelcer, N., Bogie, J. F. J., & Hendriks, J. J. A. (2024) · Trends in Cell Biology · doi:10.1016/j.tcb.2023.09.001 · Cited by 62
Lipid droplets as signaling platforms linking metabolic and cellular functions
Arrese, E. L., Saudale, F. Z., & Soulages, J. L. (2014) · Lipid Insights · doi:10.4137/lpi.s11128 · Cited by 54
The regulatory role of lipophagy in central nervous system diseases
Lan, Z.-Q., Ge, Z.-Y., Lv, S.-K., Zhao, B., & Li, C.-X. (2023) · Cell Death Discovery · doi:10.1038/s41420-023-01504-z · Cited by 49
Stephenson, R. A., Thomalla, J. M., Chen, L., Kolkhof, P., White, R. P., Beller, M., & Welte, M. A. (2021) · Development · doi:10.1242/dev.199381 · Cited by 38
Kulminskaya, N., Rodriguez Gamez, C. F., Hofer, P., Cerk, I. K., Dubey, N., Viertlmayr, R., Sagmeister, T., Pavkov-Keller, T., Zechner, R., & Oberer, M. (2024) · Journal of Lipid Research · doi:10.1016/j.jlr.2023.100491 · Cited by 10
Self-citation
Metadata
- Authors
- Zechner, R., Zimmermann, R., Eichmann, T. O., Kohlwein, S. D., Haemmerle, G., Lass, A., & Madeo, F.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2012-03
- Volume
- 15
- Issue
- 3
- Pages
- 279-291
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2112520822
- Cited by
- 1,132
- References
- 9
- FWCI
- 26.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
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