The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Resveratrol improves insulin sensitivity, reduces oxidative stress and activates the Akt pathway in type 2 diabetic patients
Open accessAbstract
Although resveratrol has widely been studied for its potential health benefits, little is known about its metabolic effects in humans. Our aims were to determine whether the polyphenol resveratrol improves insulin sensitivity in type 2 diabetic patients and to gain some insight into the mechanism of its action. After an initial general examination (including blood chemistry), nineteen patients enrolled in the 4-week-long double-blind study were randomly assigned into two groups: a resveratrol group receiving oral 2 × 5 mg resveratrol and a control group receiving placebo. Before and after the second and fourth weeks of the trial, insulin resistance/sensitivity, creatinine-normalised ortho-tyrosine level in urine samples (as a measure of oxidative stress), incretin levels and phosphorylated protein kinase B (pAkt):protein kinase B (Akt) ratio in platelets were assessed and statistically analysed. After the fourth week, resveratrol significantly decreased insulin resistance (homeostasis model of assessment for insulin resistance) and urinary ortho-tyrosine excretion, while it increased the pAkt:Akt ratio in platelets. On the other hand, it had no effect on parameters that relate to β-cell function (i.e. homeostasis model of assessment of β-cell function). The present study shows for the first time that resveratrol improves insulin sensitivity in humans, which might be due to a resveratrol-induced decrease in oxidative stress that leads to a more efficient insulin signalling via the Akt pathway.
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
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Prediction of Creatinine Clearance from Serum Creatinine
Cockcroft, D. W., & Gault, H. (1976) · Nephron · doi:10.1159/000180580 · Cited by 15,309
Therapeutic potential of resveratrol: the in vivo evidence
Baur, J. A., & Sinclair, D. A. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd2060 · Cited by 3,958
Role of Oxidative Stress in Development of Complications in Diabetes
Baynes, J. W. (1991) · Diabetes · doi:10.2337/diab.40.4.405 · Cited by 3,793
Wine, alcohol, platelets, and the French paradox for coronary heart disease
Renaud, S., & de Lorgeril, M. (1992) · The Lancet · doi:10.1016/0140-6736(92)91277-f · Cited by 3,643
Reactive oxygen species have a causal role in multiple forms of insulin resistance
Houstis, N., Rosen, E. D., & Lander, E. S. (2006) · Nature · doi:10.1038/nature04634 · Cited by 2,525
Use of the oral glucose tolerance test to assess insulin release and insulin sensitivity.
Stumvoll, M., Mitrakou, A., Pimenta, W., Jenssen, T., Yki-Järvinen, H., Van Haeften, T., Renn, W., & Gerich, J. (2000) · Diabetes Care · doi:10.2337/diacare.23.3.295 · Cited by 1,042
Wallerath, T., Deckert, G., Ternes, T., Anderson, H., Li, H., Witte, K., & Förstermann, U. (2002) · Circulation · doi:10.1161/01.cir.0000029925.18593.5c · Cited by 666
The Molecular Basis for Oxidative Stress-Induced Insulin Resistance
Evans, J. L., Maddux, B. A., & Goldfine, I. D. (2005) · Antioxidants & Redox Signaling · doi:10.1089/ars.2005.7.1040 · Cited by 587
Rivera, L., Morón, R., Zarzuelo, A., & Galisteo, M. (2009) · Biochemical Pharmacology · doi:10.1016/j.bcp.2008.11.027 · Cited by 391
Cited by
Price, N. L., Gomes, A. P., Ling, A. J. Y., Duarte, F. V., Martin-Montalvo, A., North, B. J., Agarwal, B., Ye, L., Ramadori, G., Teodoro, J. S., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.04.003 · Cited by 1,602
Targeting adipose tissue in the treatment of obesity-associated diabetes
Kusminski, C. M., Bickel, P. E., & Scherer, P. E. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.75 · Cited by 678
Transcription Factor NRF2 as a Therapeutic Target for Chronic Diseases: A Systems Medicine Approach
Cuadrado, A., Manda, G., Hassan, A., Alcaraz, M. J., Barbas, C., Daiber, A., Ghezzi, P., León, R., López, M. G., Oliva, B., et al. (2018) · Pharmacological Reviews · doi:10.1124/pr.117.014753 · Cited by 632
Resveratrol and health—A comprehensive review of human clinical trials
Smoliga, J. M., Baur, J. A., & Hausenblas, H. A. (2011) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201100143 · Cited by 594
Health benefits of resveratrol: Evidence from clinical studies
Singh, A. P., Singh, R., Verma, S. S., Rai, V., Kaschula, C. H., Maiti, P., & Gupta, S. C. (2019) · Medicinal Research Reviews · doi:10.1002/med.21565 · Cited by 523
Metadata
- Authors
- Brasnyó, P., Molnár, G. A., Mohás, M., Markó, L., Laczy, B., Cseh, J., Mikolás, E., Szijártó, I. A., Mérei, Á., Halmai, R., Mészáros, L. G., Sümegi, B., & Wittmann, I.
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2011-03-09
- Volume
- 106
- Issue
- 3
- Pages
- 383-389
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2117499294
- Cited by
- 678
- References
- 33
- FWCI
- 22.51
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Resveratrol improves insulin sensitivity, reduces oxidative stress and activates the Akt pathway in type 2 diabetic patients. https://app.cochat.ai/papers/10.1017/s0007114511000316
- The paper
- Brasnyó, P., Molnár, G. A., Mohás, M., Markó, L., Laczy, B., Cseh, J., Mikolás, E., Szijártó, I. A., Mérei, Á., Halmai, R., Mészáros, L. G., Sümegi, B., & Wittmann, I. (2011). Resveratrol improves insulin sensitivity, reduces oxidative stress and activates the Akt pathway in type 2 diabetic patients. British Journal of Nutrition. https://doi.org/10.1017/s0007114511000316
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.
