The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Adipose tissue is required for the antidiabetic, but not for the hypolipidemic, effect of thiazolidinediones
Open accessAbstract
There is uncertainty about the site(s) of action of the antidiabetic thiazolidinediones (TZDs). These drugs are agonist ligands of the transcription factor PPAR gamma, which is abundant in adipose tissue but is normally present at very low levels in liver and muscle. We have studied the effects of TZDs in A-ZIP/F-1 mice, which lack white adipose tissue. The A-ZIP/F-1 phenotype strikingly resembles that of humans with severe lipoatrophic diabetes, including the lack of fat, marked insulin resistance and hyperglycemia, hyperlipidemia, and fatty liver. Rosiglitazone or troglitazone treatment did not reduce glucose or insulin levels, suggesting that white adipose tissue is required for the antidiabetic effects of TZDs. However, TZD treatment was effective in lowering circulating triglycerides and increasing whole body fatty acid oxidation in the A-ZIP/F-1 mice, indicating that this effect occurs via targets other than white adipose tissue. A-ZIP/F-1 mice have markedly increased liver PPAR gamma mRNA levels, which may be a general property of fatty livers. Rosiglitazone treatment increased the triglyceride content of the steatotic livers of A-ZIP/F-1 and ob/ob mice, but not the "lean" livers of fat-transplanted A-ZIP/F-1 mice. In light of this evidence that rosiglitazone acts differently in steatotic livers, the effects of rosiglitazone, particularly on hepatic triglyceride levels, should be examined in humans with hepatic steatosis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Roles of PPARs in health and disease
Kersten, S., Desvergne, B., & Wahli, W. (2000) · Nature · doi:10.1038/35013000 · Cited by 1,956
Leptin reverses insulin resistance and diabetes mellitus in mice with congenital lipodystrophy
Shimomura, I., Hammer, R. E., Ikemoto, S., Brown, M. S., & Goldstein, J. L. (1999) · Nature · doi:10.1038/43448 · Cited by 1,038
Mechanism of Insulin Resistance in A-ZIP/F-1 Fatless Mice
Kim, J. K., Gavrilova, O., Chen, Y., Reitman, M. L., & Shulman, G. I. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.275.12.8456 · Cited by 443
Self-citation
Cited by
The mechanisms of action of PPARs
Berger, J., & Moller, D. E. (2002) · Annual Review of Medicine · doi:10.1146/annurev.med.53.082901.104018 · Cited by 2,659
The adipocyte-secreted protein Acrp30 enhances hepatic insulin action
Berg, A. H., Combs, T. P., Du, X., Brownlee, M., & Scherer, P. E. (2001) · Nature Medicine · doi:10.1038/90992 · Cited by 2,526
Fat and Beyond: The Diverse Biology of PPARγ
Tontonoz, P., & Spiegelman, B. M. (2008) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.061307.091829 · Cited by 2,085
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
Pajvani, U. B., Hawkins, M., Combs, T. P., Rajala, M. W., Doebber, T., Berger, J. P., Wagner, J. A., Wu, M., Knopps, A., Xiang, A. H., et al. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m311113200 · Cited by 1,163
Zhang, C.-Y., Baffy, G., Perret, P., Krauss, S., Peroni, O., Grujic, D., Hagen, T., Vidal-Puig, A. J., Boss, O., Kim, Y.-B., et al. (2001) · Cell · doi:10.1016/s0092-8674(01)00378-6 · Cited by 917
Adiels, M., Olofsson, S.-O., Taskinen, M.-R., & Borén, J. (2008) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.107.160192 · Cited by 820
Feige, J. N., Gelman, L., Michalik, L., Desvergne, B., & Wahli, W. (2006) · Progress in Lipid Research · doi:10.1016/j.plipres.2005.12.002 · Cited by 786
Mitochondrial dysfunction in Nash: causes, consequences and possible means to prevent it
Begriche, K., Igoudjil, A., Pessayre, D., & Fromenty, B. (2006) · Mitochondrion · doi:10.1016/j.mito.2005.10.004 · Cited by 753
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
Self-citationMechanisms of nutritional and hormonal regulation of lipogenesis
Kersten, S. (2001) · The EMBO Reports · doi:10.1093/embo-reports/kve071 · Cited by 700
Mayerson, A. B., Hundal, R. S., Dufour, S., Lebon, V., Befroy, D., Cline, G. W., Enocksson, S., Inzucchi, S. E., Shulman, G. I., & Petersen, K. F. (2002) · Diabetes · doi:10.2337/diabetes.51.3.797 · Cited by 647
Matsusue, K., Haluzik, M., Lambert, G., Yim, S.-H., Gavrilova, O., Ward, J. M., Brewer, B., Reitman, M. L., & Gonzalez, F. J. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200317223 · Cited by 585
Self-citationTiikkainen, M., Häkkinen, A.-M., Korsheninnikova, E., Nyman, T., Mäkimattila, S., & Yki-Järvinen, H. (2004) · Diabetes · doi:10.2337/diabetes.53.8.2169 · Cited by 524
Thiazolidinediones and the promise of insulin sensitization in type 2 diabetes
Soccio, R. E., Chen, E. R., & Lazar, M. A. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.08.005 · Cited by 518
Impaired adipogenesis and dysfunctional adipose tissue in human hypertrophic obesity
Hammarstedt, A., Gogg, S., Hedjazifar, S., Nerstedt, A., & Smith, U. (2018) · Physiological Reviews · doi:10.1152/physrev.00034.2017 · Cited by 462
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
Increased expression of PPARγ in high fat diet-induced liver steatosis in mice
Inoue, M., Ohtake, T., Motomura, W., Takahashi, N., Hosoki, Y., Miyoshi, S., Suzuki, Y., Saito, H., Kohgo, Y., & Okumura, T. (2005) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2005.08.070 · Cited by 340
Endothelial Dysfunction: Is There a Hyperglycemia-Induced Imbalance of NOX and NOS?
Meza, C. A., La Favor, J. D., Kim, D.-H., & Hickner, R. C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20153775 · Cited by 323
PPARγ activation in adipocytes is sufficient for systemic insulin sensitization
Sugii, S., Olson, P., Sears, D. D., Saberi, M., Atkins, A. R., Barish, G. D., Hong, S.-H., Castro, G. L., Yin, Y.-Q., Nelson, M. C., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0912487106 · Cited by 255
Macrophage TNF-α contributes to insulin resistance and hepatic steatosis in diet-induced obesity
De Taeye, B. M., Novitskaya, T., McGuinness, O. P., Gleaves, L., Medda, M., Covington, J. W., & Vaughan, D. E. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00194.2007 · Cited by 208
Scimè, A., Grenier, G., Huh, M. S., Gillespie, M. A., Bevilacqua, L., Harper, M.-E., & Rudnicki, M. A. (2005) · Cell Metabolism · doi:10.1016/j.cmet.2005.10.002 · Cited by 199
Obesity, Peroxisome Proliferator-Activated Receptor, and Atherosclerosis in Type 2 Diabetes
Blaschke, F., Takata, Y., Caglayan, E., Law, R. E., & Hsueh, W. A. (2006) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000191663.12164.77 · Cited by 176
Nagashima, K., Lopez, C., Donovan, D., Ngai, C., Fontanez, N., Bensadoun, A., Fruchart-Najib, J., Holleran, S., Cohn, J. S., Ramakrishnan, R., et al. (2005) · Journal of Clinical Investigation · doi:10.1172/jci200523219 · Cited by 201
Colombo, C., Cutson, J. J., Yamauchi, T., Vinson, C., Kadowaki, T., Gavrilova, O., & Reitman, M. L. (2002) · Diabetes · doi:10.2337/diabetes.51.9.2727 · Cited by 147
Self-citationFGF21 Promotes Metabolic Homeostasis via White Adipose and Leptin in Mice
Véniant, M. M., Hale, C., Helmering, J., Chen, M. M., Stanislaus, S., Busby, J., Vonderfecht, S., Xu, J., & Lloyd, D. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040164 · Cited by 141
SALEH, S., EL-MARAGHY, N., REDA, E., & BARAKAT, W. (2014) · Anais da Academia Brasileira de Ciências · doi:10.1590/0001-3765201420140212 · Cited by 81
Molecular mechanisms and genome-wide aspects of PPAR subtype specific transactivation
Bugge, A., & Mandrup, S. (2010) · PPAR Research · doi:10.1155/2010/169506 · Cited by 69
PPAR agonists, - could tissue targeting pave the way
Bugge, A., & Holst, D. (2017) · Biochimie · doi:10.1016/j.biochi.2016.10.017 · Cited by 14
Metadata
- Authors
- Chao, L., Marcus-Samuels, B., Mason, M. M., Moitra, J., Vinson, C., Arioglu, E., Gavrilova, O., & Reitman, M. L.
- Venue
- Journal of Clinical Investigation
- Published
- 2000-11-15
- Volume
- 106
- Issue
- 10
- Pages
- 1221-1228
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2011246715
- Cited by
- 356
- References
- 3
- FWCI
- 9.01
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.