The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Molecular Mechanisms of Hepatic Steatosis and Insulin Resistance in the AGPAT2-Deficient Mouse Model of Congenital Generalized Lipodystrophy
Open accessAbstract
SUMMARY Mutations in 1-acylglycerol-3-phosphate-O-acyltransferase 2 (AGPAT2) cause congenital generalized lipodystrophy. To understand the molecular mechanisms underlying the metabolic complications associated with AGPAT2 deficiency, Agpat2 null mice were generated. Agpat2−/− mice develop severe lipodystrophy affecting both white and brown adipose tissue, severe insulin resistance, diabetes, and hepatic steatosis. The expression of lipogenic genes and rates of de novo fatty acid biosynthesis were increased ~4-fold in Agpat2−/− mouse livers. The mRNA and protein levels of monoacylglycerol acyltransferase isoform 1 were markedly increased in the livers of Agpat2−/− mice suggesting that the alternative monoacylglycerol pathway for triglyceride biosynthesis is activated in the absence of AGPAT2. Feeding a fat-free diet reduced liver triglycerides by ~50% in Agpat2−/− mice. These observations suggest that both dietary fat and hepatic triglyceride biosynthesis via a novel monoacylglycerol pathway may contribute to hepatic steatosis in Agpat2−/− mice.
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Molecular mediators of hepatic steatosis and liver injury
Browning, J. D., & Horton, J. D. (2004) · Journal of Clinical Investigation · doi:10.1172/jci200422422 · Cited by 1,772
Self-citationHolland, 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
Liang, G., Yang, J., Horton, J. D., Hammer, R. E., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m111421200 · Cited by 669
Self-citationGenetic disorders of adipose tissue development, differentiation, and death.
Agarwal, A. K., & Garg, A. (2006) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.7.080505.115715 · Cited by 150
Effect of estrogen deficiency in the male: the ArKO mouse model
Murata, Y., Robertson, K. M., Jones, M. E. E., & Simpson, E. R. (2002) · Molecular and Cellular Endocrinology · doi:10.1016/s0303-7207(02)00090-4 · Cited by 111
Cited by
Mechanisms of Insulin Action and Insulin Resistance
Petersen, M. C., & Shulman, G. I. (2018) · Physiological Reviews · doi:10.1152/physrev.00063.2017 · Cited by 3,028
Ectopic Fat in Insulin Resistance, Dyslipidemia, and Cardiometabolic Disease
Shulman, G. I. (2014) · New England Journal of Medicine · doi:10.1056/nejmra1011035 · Cited by 1,126
DGAT enzymes are required for triacylglycerol synthesis and lipid droplets in adipocytes
Harris, C. A., Haas, J. T., Streeper, R. S., Stone, S. J., Kumari, M., Yang, K., Han, X., Brownell, N., Gross, R. W., Zechner, R., et al. (2011) · Journal of Lipid Research · doi:10.1194/jlr.m013003 · Cited by 346
Sansbury, B. E., Cummins, T. D., Tang, Y., Hellmann, J., Holden, C. R., Harbeson, M. A., Chen, Y., Patel, R. P., Spite, M., Bhatnagar, A., et al. (2012) · Circulation Research · doi:10.1161/circresaha.112.266395 · Cited by 156
Scherer, P. E. (2016) · Diabetes · doi:10.2337/db16-0339 · Cited by 133
“As an example, in the lipodystrophic AGPAT2 knockout mouse (72), we see that uridine levels are very low in the fasting state and do not change very much in the feeding/fasting transition.”
Metadata
- Authors
- Cortés, V. A., Curtis, D. E., Sukumaran, S., Shao, X., Parameswara, V., Rashid, S., Smith, A. R., Ren, J., Esser, V., Hammer, R. E., Agarwal, A. K., Horton, J. D., & Garg, A.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 9
- Issue
- 2
- Pages
- 165-176
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W1978767952
- Cited by
- 226
- References
- 5
- FWCI
- 7.24
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Cortés, V. A., Curtis, D. E., Sukumaran, S., Shao, X., Parameswara, V., Rashid, S., Smith, A. R., Ren, J., Esser, V., Hammer, R. E., Agarwal, A. K., Horton, J. D., & Garg, A. (2009). Molecular Mechanisms of Hepatic Steatosis and Insulin Resistance in the AGPAT2-Deficient Mouse Model of Congenital Generalized Lipodystrophy. Cell Metabolism. https://doi.org/10.1016/j.cmet.2009.01.002
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.