The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.
Fructose, insulin resistance, and metabolic dyslipidemia
Open accessAbstract
Obesity and type 2 diabetes are occurring at epidemic rates in the United States and many parts of the world. The "obesity epidemic" appears to have emerged largely from changes in our diet and reduced physical activity. An important but not well-appreciated dietary change has been the substantial increase in the amount of dietary fructose consumption from high intake of sucrose and high fructose corn syrup, a common sweetener used in the food industry. A high flux of fructose to the liver, the main organ capable of metabolizing this simple carbohydrate, perturbs glucose metabolism and glucose uptake pathways, and leads to a significantly enhanced rate of de novo lipogenesis and triglyceride (TG) synthesis, driven by the high flux of glycerol and acyl portions of TG molecules from fructose catabolism. These metabolic disturbances appear to underlie the induction of insulin resistance commonly observed with high fructose feeding in both humans and animal models. Fructose-induced insulin resistant states are commonly characterized by a profound metabolic dyslipidemia, which appears to result from hepatic and intestinal overproduction of atherogenic lipoprotein particles. Thus, emerging evidence from recent epidemiological and biochemical studies clearly suggests that the high dietary intake of fructose has rapidly become an important causative factor in the development of the metabolic syndrome. There is an urgent need for increased public awareness of the risks associated with high fructose consumption and greater efforts should be made to curb the supplementation of packaged foods with high fructose additives. The present review will discuss the trends in fructose consumption, the metabolic consequences of increased fructose intake, and the molecular mechanisms leading to fructose-induced lipogenesis, insulin resistance and metabolic dyslipidemia.
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
Toprak, O., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney and Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,627
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,947
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
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
Yamauchi, T., Kamon, J., Minokoshi, Y., Ito, Y., Waki, H., Uchida, S., Yamashita, S., Noda, M., Kita, S., Ueki, K., et al. (2002) · Nature Medicine · doi:10.1038/nm788 · Cited by 4,238
Glycemic index of foods: a physiological basis for carbohydrate exchange
Jenkins, D. J., Wolever, T. M., Taylor, R. H., Barker, H., Fielden, H., Baldwin, J. M., Bowling, A. C., Newman, H. C., Jenkins, A. L., & Goff, D. V. (1981) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/34.3.362 · Cited by 3,857
Brown, M. S., & Goldstein, J. L. (1997) · Cell · doi:10.1016/s0092-8674(00)80213-5 · Cited by 3,834
The Continuing Epidemics of Obesity and Diabetes in the United States
Mokdad, A. H. (2001) · JAMA · doi:10.1001/jama.286.10.1195 · Cited by 2,730
The Spread of the Obesity Epidemic in the United States, 1991-1998
Mokdad, A. H. (1999) · JAMA · doi:10.1001/jama.282.16.1519 · Cited by 2,280
Consumption of high-fructose corn syrup in beverages may play a role in the epidemic of obesity
Bray, G. A., Nielsen, S. J., & Popkin, B. M. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.4.537 · Cited by 1,990
Research works printed but not linked: 11
- Centers for Disease Control and Prevention NCfHS, Division of Health Interview Statistics: Census of the population and population estimates. 1997, Hyattsville, MD: Centers for Disease Control and Prevention
- Valek J, Vlasakova Z: [The metabolic syndrome, its heredity, methods of detection and clinical significance]. Vnitr Lek. 1997, 43: 566-573.
- Cummings LE: Commercial foodservice considerations in providing consumer-driven nutrition program elements. Part I. Consumer health objectives and associated employee education needs. Cater Health. 1988, 1: 51-71.
- Mehnert H: [Sugar substitutes in the diabetic diet]. Int Z Vitam Ernahrungsforsch Beih. 1976, 15: 295-324.
- Hung CT: Effects of high-fructose (90%) corn syrup on plasma glucose, insulin, and C-peptide in non-insulin-dependent diabetes mellitus and normal subjects. Taiwan Yi Xue Hui Za Zhi. 1989, 88: 883-885.
- Oron-Herman M, Rosenthal T, Sela BA: Hyperhomocysteinemia as a component of syndrome X. Metabolism. 2003, 52: 1491-1495. · doi:10.1016/s0026-0495(03)00262-2
- Ziegler O, Quilliot D, Guerci B, Drouin P: [Macronutrients, fat mass, fatty acid flux and insulin sensitivity]. Diabetes Metab. 2001, 27: 261-270.
- Bar A: Characteristics and significance of D-tagatose-induced liver enlargement in rats: An interpretative review. Regul Toxicol Pharmacol. 1999, 29: S83-93. · doi:10.1006/rtph.1999.1298
- Ostos MA, Recalde D, Baroukh N, Callejo A, Rouis M, Castro G, Zakin MM: Fructose intake increases hyperlipidemia and modifies apolipoprotein expression in apolipoprotein AI-CIII-AIV transgenic mice. J Nutr. 2002, 132: 918-923. · doi:10.1093/jn/132.5.918
- Noguchi T, Tanaka T: Insulin resistance in obesity and its molecular control. Obes Res. 1995, 3 (Suppl 2): 195S-198S. · doi:10.1002/j.1550-8528.1995.tb00463.x
- Verschoor L, Chen YD, Reaven EP, Reaven GM: Glucose and fructose feeding lead to alterations in structure and function of very low density lipoproteins. Horm Metab Res. 1985, 17: 285-288. · doi:10.1055/s-2007-1013520
Cited by
Sugar-Sweetened Beverages, Obesity, Type 2 Diabetes Mellitus, and Cardiovascular Disease Risk
Malik, V. S., Popkin, B. M., Bray, G. A., Després, J.-P., & Hu, F. B. (2010) · Circulation · doi:10.1161/circulationaha.109.876185 · Cited by 1,641
Sugar-sweetened beverages and risk of obesity and type 2 diabetes: epidemiologic evidence
Hu, F. B., & Malik, V. S. (2010) · Physiology & Behavior · doi:10.1016/j.physbeh.2010.01.036 · Cited by 909
Abdelmalek, M. F., Suzuki, A., Guy, C., Unalp-Arida, A., Colvin, R., Johnson, R. J., & Diehl, A. M. (2010) · Hepatology · doi:10.1002/hep.23535 · Cited by 770
Sweetened beverage consumption and risk of coronary heart disease in women
Fung, T. T., Malik, V., Rexrode, K. M., Manson, J. E., Willett, W. C., & Hu, F. B. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.27140 · Cited by 601
Te Morenga, L. A., Howatson, A. J., Jones, R. M., & Mann, J. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.081521 · Cited by 509
Metadata
- Authors
- Basciano, H., Federico, L., & Adeli, K.
- Venue
- Nutrition & Metabolism
- Published
- 2005-02-21
- Volume
- 2
- Issue
- 1
- Pages
- 5-5
- ISSN
- 1743-7075 (ISSN-L)
- OpenAlex
- W1521042725
- Cited by
- 832
- References
- 120
- FWCI
- 15.32
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fructose, insulin resistance, and metabolic dyslipidemia. https://app.cochat.ai/papers/10.1186/1743-7075-2-5
- The paper
- Basciano, H., Federico, L., & Adeli, K. (2005). Fructose, insulin resistance, and metabolic dyslipidemia. Nutrition & Metabolism. https://doi.org/10.1186/1743-7075-2-5
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.