The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
AdPLA ablation increases lipolysis and prevents obesity induced by high-fat feeding or leptin deficiency
Open accessAbstract
A main function of white adipose tissue is to release fatty acids from stored triacylglycerol for other tissues to use as an energy source. Whereas endocrine regulation of lipolysis has been extensively studied, autocrine and paracrine regulation is not well understood. Here we describe the role of the newly identified major adipocyte phospholipase A2, AdPLA (encoded by Pla2g16, also called HREV107), in the regulation of lipolysis and adiposity. AdPLA-null mice have a markedly higher rate of lipolysis owing to increased cyclic AMP levels arising from the marked reduction in the amount of adipose prostaglandin E2 that binds the Gαi-coupled receptor, EP3. AdPLA-null mice have markedly reduced adipose tissue mass and triglyceride content but normal adipogenesis. They also have higher energy expenditure with increased fatty acid oxidation within adipocytes. AdPLA-deficient ob/ob mice remain hyperphagic but lean, with increased energy expenditure, yet have ectopic triglyceride storage and insulin resistance. AdPLA is a major regulator of adipocyte lipolysis and is crucial for the development of obesity.
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Cites
A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION
Bligh, E. G., & Dyer, W. J. (1959) · Canadian Journal of Biochemistry and Physiology · doi:10.1139/o59-099 · Cited by 54,751
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
Self-citationYoon, M. J., Lee, G. Y., Chung, J.-J., Ahn, Y. H., Hong, S. H., & Kim, J. B. (2006) · Diabetes · doi:10.2337/db05-1322 · Cited by 546
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Neuschwander‐Tetri, B. A. (2010) · Hepatology · doi:10.1002/hep.23719 · Cited by 1,077
Roles of diacylglycerols and ceramides in hepatic insulin resistance
Petersen, M. C., & Shulman, G. I. (2017) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2017.04.004 · Cited by 373
Self-citationRetinol and retinyl esters: biochemistry and physiology
O'Byrne, S. M., & Blaner, W. S. (2013) · Journal of Lipid Research · doi:10.1194/jlr.r037648 · Cited by 378
Human skeletal muscle possesses an epigenetic memory of hypertrophy
Seaborne, R. A., Strauss, J., Cocks, M., Shepherd, S., O’Brien, T. D., van Someren, K. A., Bell, P. G., Murgatroyd, C., Morton, J. P., Stewart, C. E., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-20287-3 · Cited by 334
PLA2G16 represents a switch between entry and clearance of Picornaviridae
Staring, J., von Castelmur, E., Blomen, V. A., van den Hengel, L. G., Brockmann, M., Baggen, J., Thibaut, H. J., Nieuwenhuis, J., Janssen, H., van Kuppeveld, F. J. M., et al. (2017) · Nature · doi:10.1038/nature21032 · Cited by 201
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
Yang, W., Feng, Y., Zhou, J., Cheung, O. K.-W., Cao, J., Wang, J., Tang, W., Tu, Y., Xu, L., Wu, F., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.aaz6804 · Cited by 172
Obesity: An overview of possible role(s) of gut hormones, lipid sensing and gut microbiota
Mishra, A. K., Dubey, V., & Ghosh, A. R. (2016) · Metabolism · doi:10.1016/j.metabol.2015.10.008 · Cited by 161
Gray, N. E., Lam, L. N., Yang, K., Zhou, A. Y., Koliwad, S., & Wang, J.-C. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.294124 · Cited by 116
Kogelman, L. J. A., Cirera, S., Zhernakova, D. V., Fredholm, M., Franke, L., & Kadarmideen, H. N. (2014) · BMC Medical Genomics · doi:10.1186/1755-8794-7-57 · Cited by 106
Enzymological studies on the biosynthesis of N-acylethanolamines
Ueda, N., Tsuboi, K., & Uyama, T. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2010.08.010 · Cited by 112
Organelle degradation in the lens by PLAAT phospholipases
Morishita, H., Eguchi, T., Tsukamoto, S., Sakamaki, Y., Takahashi, S., Saito, C., Koyama-Honda, I., & Mizushima, N. (2021) · Nature · doi:10.1038/s41586-021-03439-w · Cited by 111
Gene knockout of Acc2 has little effect on body weight, fat mass, or food intake
Olson, D. P., Pulinilkunnil, T., Cline, G. W., Shulman, G. I., & Lowell, B. B. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913492107 · Cited by 109
Self-citationUyama, T., Jin, X.-H., Tsuboi, K., Tonai, T., & Ueda, N. (2009) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2009.07.001 · Cited by 80
Structural Basis for the Acyltransferase Activity of Lecithin:Retinol Acyltransferase-like Proteins
Golczak, M., Kiser, P. D., Sears, A. E., Lodowski, D. T., Blaner, W. S., & Palczewski, K. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.361550 · Cited by 77
Lee, H.-Y., Lee, J. S., Alves, T., Ladiges, W., Rabinovitch, P. S., Jurczak, M. J., Choi, C. S., Shulman, G. I., & Samuel, V. T. (2017) · Diabetes · doi:10.2337/db16-1334 · Cited by 66
Self-citationFat Storage-inducing Transmembrane Protein 2 Is Required for Normal Fat Storage in Adipose Tissue
Miranda, D. A., Kim, J.-H., Nguyen, L. N., Cheng, W., Tan, B. C., Goh, V. J., Tan, J. S. Y., Yaligar, J., KN, B. P., Velan, S. S., et al. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.547687 · Cited by 71
Triacylglycerol lipases and metabolic control: implications for health and disease
Watt, M. J., & Spriet, L. L. (2010) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00698.2009 · Cited by 66
Lrat-specific domain facilitates Vitamin A metabolism by domain swapping in HRASLS3
Golczak, M., Sears, A. E., Kiser, P. D., & Palczewski, K. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1687 · Cited by 58
Metadata
- Authors
- Jaworski, K., Ahmadian, M., Duncan, R. E., Sarkadi-Nagy, E., Varady, K. A., Hellerstein, M. K., Lee, H.-Y., Samuel, V. T., Shulman, G. I., Kim, K.-H., de Val, S., Kang, C., & Sul, H. S.
- Venue
- Nature Medicine
- Published
- 2009-01-11
- Volume
- 15
- Issue
- 2
- Pages
- 159-168
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2144123285
- Cited by
- 260
- References
- 3
- FWCI
- 9.94
- Type
- journal article
- Language
- en
- Open access
- green
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