The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Metabonomics Approach To Determine Metabolic Differences between Green Tea and Black Tea Consumption
Abstract
The purpose of this study was to compare the effects of black and green tea consumption on human metabolism. Seventeen healthy male volunteers consumed black tea, green tea, or caffeine in a randomized crossover study. Twenty-four-hour urine and blood plasma samples were analyzed by NMR-based metabonomics, that is, high-resolution 1H NMR metabolic profiling combined with multivariate statistics. Green and black tea consumption resulted in similar increases in urinary excretion of hippuric acid and 1,3-dihydroxyphenyl-2-O-sulfate, both of which are end products of tea flavonoid degradation by colonic bacteria. Several unidentified aromatic metabolites were detected in urine specifically after green tea intake. Interestingly, green and black tea intake also had a different impact on endogenous metabolites in urine and plasma. Green tea intake caused a stronger increase in urinary excretion of several citric acid cycle intermediates, which suggests an effect of green tea flavanols on human oxidative energy metabolism and/or biosynthetic pathways.
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
Bioavailability and bioefficacy of polyphenols in humans. I. Review of 97 bioavailability studies
Manach, C., Williamson, G., Morand, C., Scalbert, A., & Rémésy, C. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/81.1.230s · Cited by 4,219
Tea catechins and polyphenols: Health effects, metabolism, and antioxidant functions
Higdon, J. V., & Frei, B. (2003) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408690390826464 · Cited by 1,854
Diet-Derived Phenols in Plasma and Tissues and their Implications for Health
Clifford, M. N. (2004) · Planta Medica · doi:10.1055/s-2004-835835 · Cited by 410
Cited by
Assessment of PLSDA Cross Validation
Westerhuis, J. A., Hoefsloot, H. C. J., Smit, S., Vis, D. J., Smilde, A. K., van Velzen, E. J. J., van Duijnhoven, J. P. M., & van Dorsten, F. A. (2008) · Metabolomics · doi:10.1007/s11306-007-0099-6 · Cited by 1,471
New hypotheses for the health-protective mechanisms of whole-grain cereals: what is beyond fibre?
Fardet, A. (2010) · Nutrition Research Reviews · doi:10.1017/s0954422410000041 · Cited by 1,030
Metabolic fate of polyphenols in the human superorganism
van Duynhoven, J., Vaughan, E. E., Jacobs, D. M., A. Kemperman, R., van Velzen, E. J. J., Gross, G., Roger, L. C., Possemiers, S., Smilde, A. K., Doré, J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000098107 · Cited by 540
The food metabolome: a window over dietary exposure
Scalbert, A., Brennan, L., Manach, C., Andres-Lacueva, C., Dragsted, L. O., Draper, J., Rappaport, S. M., van der Hooft, J. J., & Wishart, D. S. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.076133 · Cited by 519
Biomarkers in nutritional epidemiology: applications, needs and new horizons
Jenab, M., Slimani, N., Bictash, M., Ferrari, P., & Bingham, S. A. (2009) · Human Genetics · doi:10.1007/s00439-009-0662-5 · Cited by 448
Metadata
- Authors
- Van Dorsten, F. A., Daykin, C. A., Mulder, T. P. J., & Van Duynhoven, J. P. M.
- Venue
- Journal of Agricultural and Food Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-08-12
- Volume
- 54
- Issue
- 18
- Pages
- 6929-6938
- ISSN
- 0021-8561 (ISSN-L)
- 1520-5118
- OpenAlex
- W2000046220
- Cited by
- 170
- References
- 3
- FWCI
- 7.71
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.
