The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Impact of Dietary Polyphenols on Carbohydrate Metabolism
Open accessAbstract
Polyphenols, including flavonoids, phenolic acids, proanthocyanidins and resveratrol, are a large and heterogeneous group of phytochemicals in plant-based foods, such as tea, coffee, wine, cocoa, cereal grains, soy, fruits and berries. Growing evidence indicates that various dietary polyphenols may influence carbohydrate metabolism at many levels. In animal models and a limited number of human studies carried out so far, polyphenols and foods or beverages rich in polyphenols have attenuated postprandial glycemic responses and fasting hyperglycemia, and improved acute insulin secretion and insulin sensitivity. The possible mechanisms include inhibition of carbohydrate digestion and glucose absorption in the intestine, stimulation of insulin secretion from the pancreatic b-cells, modulation of glucose release from the liver, activation of insulin receptors and glucose uptake in the insulin-sensitive tissues, and modulation of intracellular signalling pathways and gene expression. The positive effects of polyphenols on glucose homeostasis observed in a large number of in vitro and animal models are supported by epidemiological evidence on polyphenol-rich diets. To confirm the implications of polyphenol consumption for prevention of insulin resistance, metabolic syndrome and eventually type 2 diabetes, human trials with well-defined diets, controlled study designs and clinically relevant end-points together with holistic approaches e.g., systems biology profiling technologies are needed.
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Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873
Insulin signalling and the regulation of glucose and lipid metabolism
Saltiel, A. R., & Kahn, C. R. (2001) · Nature · doi:10.1038/414799a · Cited by 5,326
Lagouge, M., Argmann, C., Gerhart-Hines, Z., Meziane, H., Lerin, C., Daussin, F., Messadeq, N., Milne, J., Lambert, P., Elliott, P., et al. (2006) · Cell · doi:10.1016/j.cell.2006.11.013 · Cited by 4,057
Dietary polyphenols and the prevention of diseases
Scalbert, A., Manach, C., Morand, C., Rémésy, C., & Jiménez, L. (2005) · Critical Reviews in Food Science and Nutrition · doi:10.1080/1040869059096 · Cited by 2,999
Lindström, J., Ilanne-Parikka, P., Peltonen, M., Aunola, S., Eriksson, J. G., Hemiö, K., Hämäläinen, H., Härkönen, P., Keinänen-Kiukaanniemi, S., Laakso, M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69701-8 · Cited by 1,799
Small molecule activators of SIRT1 as therapeutics for the treatment of type 2 diabetes
Milne, J. C., Lambert, P. D., Schenk, S., Carney, D. P., Smith, J. J., Gagne, D. J., Jin, L., Boss, O., Perni, R. B., Vu, C. B., et al. (2007) · Nature · doi:10.1038/nature06261 · Cited by 1,707 · cited 1×
“Sirtuins are a family of histone/protein deacetylases, among which, SIRT1 has been suggested to play a role in regulating glucose homeostasis and may be involved in the insulin signalling cascade [99,100].”
BackgroundInteraction between Phenolics and Gut Microbiota: Role in Human Health
Selma, M. V., Espín, J. C., & Tomás-Barberán, F. A. (2009) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf902107d · Cited by 1,324
de Munter, J. S. L., Hu, F. B., Spiegelman, D., Franz, M., & van Dam, R. M. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040261 · Cited by 734
Coffee Consumption and Risk of Type 2 Diabetes: A Systematic Review
van Dam, R. M., & Hu, F. B. (2005) · JAMA · doi:10.1001/jama.294.1.97 · Cited by 662
Hypothalamic KATP channels control hepatic glucose production
Pocai, A., Lam, T. K. T., Gutierrez-Juarez, R., Obici, S., Schwartz, G. J., Bryan, J., Aguilar-Bryan, L., & Rossetti, L. (2005) · Nature · doi:10.1038/nature03439 · Cited by 645
Cited by
Jomova, K., Alomar, S. Y., Alwasel, S. H., Nepovimova, E., Kuca, K., & Valko, M. (2024) · Archives of Toxicology · doi:10.1007/s00204-024-03696-4 · Cited by 1,445
Mediterranean Diet and Age-Related Cognitive Decline: A Randomized Clinical Trial
Valls-Pedret, C., Sala-Vila, A., Serra-Mir, M., Corella, D., de la Torre, R., Martínez-González, M. Á., Martínez-Lapiscina, E. H., Fitó, M., Pérez-Heras, A., Salas-Salvadó, J., et al. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.1668 · Cited by 952
Natural polyphenols: An overview
Abbas, M., Saeed, F., Anjum, F. M., Afzaal, M., Tufail, T., Bashir, M. S., Ishtiaq, A., Hussain, S., & Suleria, H. A. R. (2017) · International Journal of Food Properties · doi:10.1080/10942912.2016.1220393 · Cited by 769
Antidiabetic Properties of Dietary Flavonoids: A Cellular Mechanism Review
Vinayagam, R., & Xu, B. (2015) · Nutrition & Metabolism · doi:10.1186/s12986-015-0057-7 · Cited by 597
Dietary polyphenols as potential nutraceuticals in management of diabetes: a review
Bahadoran, Z., Mirmiran, P., & Azizi, F. (2013) · Journal of Diabetes & Metabolic Disorders · doi:10.1186/2251-6581-12-43 · Cited by 594
Metadata
- Authors
- Hanhineva, K., Törrönen, R., Bondia-Pons, I., Pekkinen, J., Kolehmainen, M., Mykkänen, H., & Poutanen, K.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2010-03-31
- Volume
- 11
- Issue
- 4
- Pages
- 1365-1402
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2169082773
- Cited by
- 1,157
- References
- 25
- FWCI
- 27.30
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hanhineva, K., Törrönen, R., Bondia-Pons, I., Pekkinen, J., Kolehmainen, M., Mykkänen, H., & Poutanen, K. (2010). Impact of Dietary Polyphenols on Carbohydrate Metabolism. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms11041365
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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.
