The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Blueberries improve biomarkers of cardiometabolic function in participants with metabolic syndrome—results from a 6-month, double-blind, randomized controlled trial
Open accessAbstract
BACKGROUND: Anthocyanin-rich blueberry intake is associated with reduced type 2 diabetes and cardiovascular disease (CVD) risk in prospective studies, although long-term randomized controlled trials (RCTs) have not been conducted in at-risk populations. OBJECTIVE: In the longest-duration RCT to date, we examined the effect of 6-mo blueberry intake on insulin resistance and cardiometabolic function in metabolic syndrome. METHODS: A double-blind, parallel RCT (n = 115; age 63 ± 7 y; 68% male; body mass index 31.2 ± 3.0 kg/m2) was conducted, which fed 2 dietarily achievable blueberry intakes [equivalent to 1/2 and 1 cup/d (75/150 g)] compared with matched placebo. Insulin resistance was assessed via the homeostasis model assessment of insulin resistance (primary endpoint) and confirmed by [6-6-2H2]-glucose-labeled, 2-step hyperinsulinemic clamp (n = 20). Clinically relevant cardiometabolic endpoints [including flow-mediated dilatation, augmentation index, lipoprotein status (by nuclear magnetic resonance spectroscopy), and nitric oxide (NO)-related metabolite assay] and anthocyanin metabolism were assessed. RESULTS: A daily intake of 1 cup of blueberries improved endothelial function (flow-mediated dilatation: +1.45%; 95% CI: 0.83%, 2.1%; P = 0.003), systemic arterial stiffness (augmentation index: -2.24%; 95% CI: -3.97%, -0.61%; P = 0.04) and attenuated cyclic guanosine monophosphate concentrations. In statin nonusers (n = 71), elevated high-density lipoprotein cholesterol (+0.08 mmol/L; P = 0.03), high-density lipoprotein particle density (+0.48n, ×10-6; P = 0.002) and apolipoprotein A-I (+0.05 g/L; P = 0.01) concentrations were observed following the 1-cup/d intervention. Treatment compliance was 94.1% (wrapper returns) and total concentrations of anthocyanin-derived phenolic acid metabolites significantly increased, dose-dependently, in serum and 24-h urine (P < 0.01 and P < 0.001, respectively). Insulin resistance, pulse wave velocity, blood pressure, NO, and overall plasma thiol status were unaffected. Likewise, a half cup per day had no effect on any biomarkers. CONCLUSIONS: Despite insulin resistance remaining unchanged we show, to our knowledge, the first sustained improvements in vascular function, lipid status, and underlying NO bioactivity following 1 cup blueberries/d. With effect sizes predictive of 12-15% reductions in CVD risk, blueberries should be included in dietary strategies to reduce individual and population CVD risk. This study was registered at clinicaltrials.gov as NCT02035592.
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
Katz, A., Nambi, S. S., Mather, K., Baron, A. D., Follmann, D. A., Sullivan, G., & Quon, M. J. (2000) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.85.7.6661 · Cited by 3,931 · cited 1×
“Insulin resistance and insulin sensitivity were calculated from fasting insulin and glucose concentrations through the use of the HOMA-IR calculation and the quantitative insulin sensitivity index (QUICKI), according to standard equations (24, 25).”
MethodHigh-density lipoprotein cholesterol and cardiovascular disease. Four prospective American studies.
Gordon, D. J., Probstfield, J. L., Garrison, R. J., Neaton, J. D., Castelli, W. P., Knoke, J. D., Jacobs, D. R., Bangdiwala, S., & Tyroler, H. A. (1989) · Circulation · doi:10.1161/01.cir.79.1.8 · Cited by 3,162
Anhê, F. F., Roy, D., Pilon, G., Dudonné, S., Matamoros, S., Varin, T. V., Garofalo, C., Moine, Q., Desjardins, Y., Levy, E., et al. (2015) · Gut · doi:10.1136/gutjnl-2014-307142 · Cited by 1,137
Bingham, S. (1997) · International Journal of Epidemiology · doi:10.1093/ije/26.suppl_1.s137 · Cited by 634
Issues in Outcomes Research: An Overview of Randomization Techniques for Clinical Trials
Kang, M., Ragan, B. G., & Park, J.-H. (2008) · Journal of Athletic Training · doi:10.4085/1062-6050-43.2.215 · Cited by 555 · cited 1×
“AR2007 adaptive random-sequence allocation software (22) was utilized, which incorporated 4 balancing strata that were considered likely a priori to affect insulin resistance and vascular function: sex, number of MetS criteria, age, and statin/blood pressure (BP) medication use.”
MethodMuraki, I., Imamura, F., Manson, J. E., Hu, F. B., Willett, W. C., van Dam, R. M., & Sun, Q. (2013) · BMJ · doi:10.1136/bmj.f5001 · Cited by 544
Cuthbertson, D. J., Shojaee-Moradie, F., Sprung, V. S., Jones, H., Pugh, C. J. A., Richardson, P., Kemp, G. J., Barrett, M., Jackson, N. C., Thomas, E. L., et al. (2016) · Clinical Science · doi:10.1042/cs20150447 · Cited by 138
Self-citationRideout, T. C., Marinangeli, C. P. F., Martin, H., Browne, R. W., & Rempel, C. B. (2013) · Nutrition Journal · doi:10.1186/1475-2891-12-56 · Cited by 89
Cited by
Recent Research on the Health Benefits of Blueberries and Their Anthocyanins
Kalt, W., Cassidy, A., Howard, L. R., Krikorian, R., Stull, A. J., Tremblay, F., & Zamora-Ros, R. (2020) · Advances in Nutrition · doi:10.1093/advances/nmz065 · Cited by 659
Self-citationFood as medicine: targeting the uraemic phenotype in chronic kidney disease
Mafra, D., Borges, N. A., Lindholm, B., Shiels, P. G., Evenepoel, P., & Stenvinkel, P. (2021) · Nature Reviews Nephrology · doi:10.1038/s41581-020-00345-8 · Cited by 238
Del Bo', C., Bernardi, S., Cherubini, A., Porrini, M., Gargari, G., Hidalgo-Liberona, N., González-Domínguez, R., Zamora-Ros, R., Peron, G., Marino, M., et al. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2020.12.014 · Cited by 133
Dietary flavonoid intake and risk of periodontitis
Alhassani, A. A., Hu, F. B., Rimm, E. B., Li, Y., Rosner, B. A., Willett, W. C., & Joshipura, K. J. (2020) · Journal of Periodontology · doi:10.1002/jper.19-0463 · Cited by 12
Self-citation
Metadata
- Authors
- Curtis, P. J., van der Velpen, V., Berends, L., Jennings, A., Feelisch, M., Umpleby, A. M., Evans, M., Fernandez, B. O., Meiss, M. S., Minnion, M., Potter, J., Minihane, A.-M., Kay, C. D., Rimm, E. B., & Cassidy, A.
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 109
- Issue
- 6
- Pages
- 1535-1545
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2935338472
- Cited by
- 246
- References
- 9
- FWCI
- 11.58
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Blueberries improve biomarkers of cardiometabolic function in participants with metabolic syndrome—results from a 6-month, double-blind, randomized controlled trial. https://app.cochat.ai/papers/10.1093/ajcn/nqy380
- The paper
- Curtis, P. J., van der Velpen, V., Berends, L., Jennings, A., Feelisch, M., Umpleby, A. M., Evans, M., Fernandez, B. O., Meiss, M. S., Minnion, M., Potter, J., Minihane, A.-M., Kay, C. D., Rimm, E. B., & Cassidy, A. (2019). Blueberries improve biomarkers of cardiometabolic function in participants with metabolic syndrome—results from a 6-month, double-blind, randomized controlled trial. The American Journal of Clinical Nutrition. https://doi.org/10.1093/ajcn/nqy380
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.