The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Diet composition and insulin action in animal models
Open accessAbstract
Critical insights into the etiology of insulin resistance have been gained by the use of animal models where insulin action has been modulated by strictly controlled dietary interventions not possible in human studies. Overall, the literature has moved from a focus on macronutrient proportions to understanding the unique effects of individual subtypes of fats, carbohydrates and proteins. Substantial evidence has now accumulated for a major role of dietary fat subtypes in insulin action. Intake of saturated fats is strongly linked to development of obesity and insulin resistance, while that of polyunsaturated fats (PUFAs) is not. This is consistent with observations that saturated fats are poorly oxidized for energy and thus readily stored, are poorly mobilized by lipolytic stimuli, impair membrane function, and increase the expression of genes associated with adipocyte profileration (making their own home). PUFAs have contrasting effects in each instance. It is therefore not surprising that increased PUFA intake in animal models is associated with improved insulin action and reduced adiposity. Less information is available for carbohydrate subtypes. Early work clearly demonstrated that diets high in simple sugars (in particular fructose) led to insulin resistance. However, again attention has rightly shifted to the very interesting issue of subtypes of complex carbohydrates. While no differences in insulin action have yet been shown, differences in substrate flux suggest there could be long-term beneficial effects on the fat balance of diets enhanced in slowly digested/resistant starches. A new area of major interest is in protein subtypes. Recent results have shown that rats fed high-fat diets where the protein component was from casein or soy were insulin-resistant, but when the protein source was from cod they were not. These are exciting times in our growing understanding of dietary factors and insulin action. While it has been clear for some time that ‘oils ain't oils’, the same is now proving true for carbohydrates and proteins.
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Cites
Krssak, M., Falk Petersen, K., Dresner, A., DiPietro, L., Vogel, S. M., Rothman, D. L., Shulman, G. I., & Roden, M. (1999) · Diabetologia · doi:10.1007/s001250051123 · Cited by 1,264
Skeletal muscle triglyceride levels are inversely related to insulin action
Pan, D. A., Lillioja, S., Kriketos, A. D., Milner, M. R., Baur, L. A., Bogardus, C., Jenkins, A. B., & Storlien, L. H. (1997) · Diabetes · doi:10.2337/diabetes.46.6.983 · Cited by 1,179
Self-citationSkeletal Muscle Triglyceride Levels Are Inversely Related to Insulin Action
Pan, D. A., Lillioja, S., Kriketos, A. D., Milner, M. R., Baur, L. A., Bogardus, C., Jenkins, A. B., & Storlien, L. H. (1997) · Diabetes · doi:10.2337/diab.46.6.983 · Cited by 1,179
Self-citationStorlien, L. H., Jenkins, A. B., Chisholm, D. J., Pascoe, W. S., Khouri, S., & Kraegen, E. W. (1991) · Diabetes · doi:10.2337/diab.40.2.280 · Cited by 967
Self-citationPhillips, D. I. W., Caddy, S., Ilic, V., Fielding, B. A., Frayn, K. N., Borthwick, A. C., & Taylor, R. (1996) · Metabolism · doi:10.1016/s0026-0495(96)90260-7 · Cited by 390 · cited 1×
“This observation has now been replicated in human studies (Phillips et al. 1996; Panet al. 1997).”
ResultStein, D. T., Stevenson, B. E., Chester, M. W., Basit, M., Daniels, M. B., Turley, S. D., & McGarry, J. D. (1997) · Journal of Clinical Investigation · doi:10.1172/jci119546 · Cited by 352
Cited by
Defining high-fat-diet rat models: Metabolic and molecular effects of different fat types
Buettner, R., Parhofer, K. G., Woenckhaus, M., Wrede, C. E., Kunz-Schughart, L. A., Schölmerich, J., & Bollheimer, L. C. (2006) · Journal of Molecular Endocrinology · doi:10.1677/jme.1.01909 · Cited by 704
Skeletal muscle lipid deposition and insulin resistance: effect of dietary fatty acids and exercise
Corcoran, M. P., Lamon-Fava, S., & Fielding, R. A. (2007) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.3.662 · Cited by 341
Luscombe-Marsh, N. D., Noakes, M., Wittert, G. A., Keogh, J. B., Foster, P., & Clifton, P. M. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/81.4.762 · Cited by 145
Kasim-Karakas, S. E., Almario, R. U., Gregory, L., Wong, R., Todd, H., & Lasley, B. L. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030666 · Cited by 99
Small, L., Brandon, A. E., Turner, N., & Cooney, G. J. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00337.2017 · Cited by 72
Metadata
- Authors
- Storlien, L. H., Higgins, J. A., Thomas, T. C., Brown, M. A., Wang, H. Q., Huang, X. F., & Else, P. L.
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2000-06
- Volume
- 83
- Issue
- S1
- Pages
- S85-S90
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2103832212
- Cited by
- 193
- References
- 6
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Storlien, L. H., Higgins, J. A., Thomas, T. C., Brown, M. A., Wang, H. Q., Huang, X. F., & Else, P. L. (2000). Diet composition and insulin action in animal models. British Journal of Nutrition. https://doi.org/10.1017/s0007114500001008
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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.