The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Insulin Resistance and Type 2 Diabetes in High-Fat–Fed Mice Are Linked to High Glycotoxin Intake
Open accessAbstract
Dietary advanced glycosylation end products (AGEs) have been linked to insulin resistance in db/db(++) mice. To test whether dietary AGEs play a role in the progression of insulin resistance in normal mice fed high-fat diets, normal C57/BL6 mice were randomly assigned to high-fat diets (35% g fat), either high (HAGE-HF group; 995.4 units/mg AGE) or low (by 2.4-fold LAGE-HF group; 329.6 units/mg AGE) in AGE content for 6 months. Age-matched C57/BL6 and db/db(++) mice fed regular diet (5% g fat, 117.4 units/mg AGE) served as controls. After 6 months, 75% of HAGE-HF mice were diabetic and exhibited higher body weight (P < 0.001), fasting glucose (P < 0.001), insulin (P < 0.001), and serum AGEs (P < 0.01) than control mice, while none of the LAGE-HF mice were diabetic despite a similar rise in body weight and plasma lipids. The HAGE-HF group displayed markedly impaired glucose and insulin responses during glucose tolerance tests and euglycemic and hyperglycemic clamps and altered pancreatic islet structure and function compared with those of LAGE-HF mice, in which findings resembled those of control mice. The HAGE-HF group had more visceral fat (by two- and fourfold) and more AGE-modified fat (by two- and fivefold) than LAGE-HF and control mice, respectively. In the HAGE-HF group, plasma 8-isoprostane was higher (P < 0.01) and adiponectin lower (P < 0.001) than control mice, while in the LAGE-HF group, these were more modestly affected (P < 0.05). These results demonstrate that the development of insulin resistance and type 2 diabetes during prolonged high-fat feeding are linked to the excess AGEs/advanced lipoxidation end products inherent in fatty diets.
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Citations
Cites
Global and societal implications of the diabetes epidemic
Zimmet, P., Alberti, K. G. M. M., & Shaw, J. (2001) · Nature · doi:10.1038/414782a · Cited by 5,883
Advanced glycation end-products: A review
Singh, R., Barden, A., Mori, T., & Beilin, L. (2001) · Diabetologia · doi:10.1007/s001250051591 · Cited by 2,597
Role of oxidative stress in diabetic complications: a new perspective on an old paradigm.
Baynes, J. W., & Thorpe, S. R. (1999) · Diabetes · doi:10.2337/diabetes.48.1.1 · Cited by 2,441
Yu, C., Chen, Y., Cline, G. W., Zhang, D., Zong, H., Wang, Y., Bergeron, R., Kim, J. K., Cushman, S. W., Cooney, G. J., et al. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m200958200 · Cited by 1,561
Carr, D. B., Utzschneider, K. M., Hull, R. L., Kodama, K., Retzlaff, B. M., Brunzell, J. D., Shofer, J. B., Fish, B. E., Knopp, R. H., & Kahn, S. E. (2004) · Diabetes · doi:10.2337/diabetes.53.8.2087 · Cited by 993
Hotamisligil, G. S., Budavari, A., Murray, D., & Spiegelman, B. M. (1994) · Journal of Clinical Investigation · doi:10.1172/jci117495 · Cited by 819
Koschinsky, T., He, C.-J., Mitsuhashi, T., Bucala, R., Liu, C., Buenting, C., Heitmann, K., & Vlassara, H. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.12.6474 · Cited by 792
Self-citationVlassara, H., Cai, W., Crandall, J., Goldberg, T., Oberstein, R., Dardaine, V., Peppa, M., & Rayfield, E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242407999 · Cited by 668
Self-citationCarr, M. C., & Brunzell, J. D. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0432 · Cited by 493
Isoprostanes: Potential Markers of Oxidant Stress in Atherothrombotic Disease
Patrono, C., & FitzGerald, G. A. (1997) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.17.11.2309 · Cited by 453 · cited 1×
“The significant rise in plasma 8-isoprostanes in the high-fat–fed groups, a finding consistent with a state of increased oxidant stress (40), may have also been the result of the higher supply of AGEs/ALEs in their diet (11).”
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Cited by
Endocrine-Disrupting Chemicals: An Endocrine Society Scientific Statement
Diamanti-Kandarakis, E., Bourguignon, J.-P., Giudice, L. C., Hauser, R., Prins, G. S., Soto, A. M., Zoeller, R. T., & Gore, A. C. (2009) · Endocrine Reviews · doi:10.1210/er.2009-0002 · Cited by 4,585
Advanced glycation end products in foods and a practical guide to their reduction in the diet
Uribarri, J., Woodruff, S., Goodman, S., Cai, W., Chen, X., Pyzik, R., Yong, A., Striker, G. E., & Vlassara, H. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2010.03.018 · Cited by 1,289
Self-citationDietary factors and low-grade inflammation in relation to overweight and obesity
Calder, P. C., Ahluwalia, N., Brouns, F., Buetler, T., Clement, K., Cunningham, K., Esposito, K., Jönsson, L. S., Kolb, H., Lansink, M., et al. (2011) · British Journal of Nutrition · doi:10.1017/s0007114511005460 · Cited by 1,098
Advanced glycation endproducts in food and their effects on health
Poulsen, M. W., Hedegaard, R. V., Andersen, J. M., de Courten, B., Bügel, S., Nielsen, J., Skibsted, L. H., & Dragsted, L. O. (2013) · Food and Chemical Toxicology · doi:10.1016/j.fct.2013.06.052 · Cited by 751
Advanced Glycation End Products (AGE) and Diabetes: Cause, Effect, or Both?
Vlassara, H., & Uribarri, J. (2014) · Current Diabetes Reports · doi:10.1007/s11892-013-0453-1 · Cited by 594
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Metadata
- Authors
- Sandu, O., Song, K., Cai, W., Zheng, F., Uribarri, J., & Vlassara, H.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2005-08-01
- Volume
- 54
- Issue
- 8
- Pages
- 2314-2319
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2154197060
- Cited by
- 213
- References
- 13
- FWCI
- 8.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Sandu, O., Song, K., Cai, W., Zheng, F., Uribarri, J., & Vlassara, H. (2005). Insulin Resistance and Type 2 Diabetes in High-Fat–Fed Mice Are Linked to High Glycotoxin Intake. Diabetes. https://doi.org/10.2337/diabetes.54.8.2314
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