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Improved insulin-sensitivity in mice heterozygous for PPAR-γ deficiency
Open accessAbstract
The thiazolidinedione class of insulin-sensitizing, antidiabetic drugs interacts with peroxisome proliferator-activated receptor gamma (PPAR-gamma). To gain insight into the role of this nuclear receptor in insulin resistance and diabetes, we conducted metabolic studies in the PPAR-gamma gene knockout mouse model. Because homozygous PPAR-gamma-null mice die in development, we studied glucose metabolism in mice heterozygous for the mutation (PPAR-gamma(+/-) mice). We identified no statistically significant differences in body weight, basal glucose, insulin, or FFA levels between the wild-type (WT) and PPAR-gamma(+/-) groups. Nor was there a difference in glucose excursion between the groups of mice during oral glucose tolerance test, but insulin concentrations of the WT group were greater than those of the PPAR-gamma(+/-) group, and insulin-induced increase in glucose disposal rate was significantly increased in PPAR-gamma(+/-) mice. Likewise, the insulin-induced suppression of hepatic glucose production was significantly greater in the PPAR-gamma(+/-) mice than in the WT mice. Taken together, these results indicate that - counterintuitively - although pharmacological activation of PPAR-gamma improves insulin sensitivity, a similar effect is obtained by genetically reducing the expression levels of the receptor.
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Nuclear Receptor Repression Mediated by a Complex Containing SMRT, mSin3A, and Histone Deacetylase
Nagy, L., Kao, H.-Y., Chakravarti, D., Lin, R. J., Hassig, C. A., Ayer, D. E., Schreiber, S. L., & Evans, R. M. (1997) · Cell · doi:10.1016/s0092-8674(00)80218-4 · Cited by 1,230
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Yamauchi, T., Kamon, J., Waki, H., Terauchi, Y., Kubota, N., Hara, K., Mori, Y., Ide, T., Murakami, K., Tsuboyama-Kasaoka, N., et al. (2001) · Nature Medicine · doi:10.1038/90984 · Cited by 4,915
The hormone resistin links obesity to diabetes
Steppan, C. M., Bailey, S. T., Bhat, S., Brown, E. J., Banerjee, R. R., Wright, C. M., Patel, H. R., Ahima, R. S., & Lazar, M. A. (2001) · Nature · doi:10.1038/35053000 · Cited by 4,755
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Ryan, K. K., Tremaroli, V., Clemmensen, C., Kovatcheva-Datchary, P., Myronovych, A., Karns, R., Wilson-Pérez, H. E., Sandoval, D. A., Kohli, R., Bäckhed, F., et al. (2014) · Nature · doi:10.1038/nature13135 · Cited by 931
Gavrilova, O., Haluzik, M., Matsusue, K., Cutson, J. J., Johnson, L., Dietz, K. R., Nicol, C. J., Vinson, C., Gonzalez, F. J., & Reitman, M. L. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m300043200 · Cited by 707
Mechanisms of nutritional and hormonal regulation of lipogenesis
Kersten, S. (2001) · The EMBO Reports · doi:10.1093/embo-reports/kve071 · Cited by 700
Tan, N.-S., Shaw, N. S., Vinckenbosch, N., Liu, P., Yasmin, R., Desvergne, B., Wahli, W., & Noy, N. (2002) · Molecular and Cellular Biology · doi:10.1128/mcb.22.14.5114-5127.2002 · Cited by 499
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Norris, A. W., Chen, L., Fisher, S. J., Szanto, I., Ristow, M., Jozsi, A. C., Hirshman, M. F., Rosen, E. D., Goodyear, L. J., Gonzalez, F. J., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci17305 · Cited by 417
Sarjeant, K., & Stephens, J. M. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a008417 · Cited by 328
de Wit, N. J., Bosch-Vermeulen, H., de Groot, P. J., Hooiveld, G. J., Bromhaar, M. M. G., Jansen, J., Müller, M., & van der Meer, R. (2008) · BMC Medical Genomics · doi:10.1186/1755-8794-1-14 · Cited by 182
Peroxisome proliferator-activated receptors as targets to treat non-alcoholic fatty liver disease
Souza-Mello, V. (2015) · World Journal of Hepatology · doi:10.4254/wjh.v7.i8.1012 · Cited by 182
Genetic 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
Phua, W. W. T., Wong, M. X. Y., Liao, Z., & Tan, N. S. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19051425 · Cited by 72
Gauthier, A., Vassiliou, G., Benoist, F., & McPherson, R. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m212989200 · Cited by 66
The Functions of PPARs in Aging and Longevity
Erol, A. (2007) · PPAR Research · doi:10.1155/2007/39654 · Cited by 54
Hunt, B. G., Wang, Y.-L., Chen, M.-S., Wang, S.-C., & Waltz, S. E. (2017) · Environmental Research · doi:10.1016/j.envres.2017.09.004 · Cited by 21
Pascual, G., Ricote, M., & Hevener, A. L. (2007) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.11.11.1503 · Cited by 12
Metadata
- Authors
- Miles, P. D. G., Barak, Y., He, W., Evans, R. M., & Olefsky, J. M.
- Venue
- Journal of Clinical Investigation
- Published
- 2000-02-01
- Volume
- 105
- Issue
- 3
- Pages
- 287-292
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2161174158
- Cited by
- 400
- References
- 1
- FWCI
- 13.63
- Type
- journal article
- Language
- en
- Open access
- bronze
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