The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Increasing Dietary Leucine Intake Reduces Diet-Induced Obesity and Improves Glucose and Cholesterol Metabolism in Mice via Multimechanisms
Open accessAbstract
Leucine, as an essential amino acid and activator of mTOR (mammalian target of rapamycin), promotes protein synthesis and suppresses protein catabolism. However, the effect of leucine on overall glucose and energy metabolism remains unclear, and whether leucine has beneficial effects as a long-term dietary supplement has not been examined. In the present study, we doubled dietary leucine intake via leucine-containing drinking water in mice with free excess to either a rodent chow or a high-fat diet (HFD). While it produced no major metabolic effects in chow-fed mice, increasing leucine intake resulted in up to 32% reduction of weight gain (P < 0.05) and a 25% decrease in adiposity (P < 0.01) in HFD-fed mice. The reduction of adiposity resulted from increased resting energy expenditure associated with increased expression of uncoupling protein 3 in brown and white adipose tissues and in skeletal muscle, while food intake was not decreased. Increasing leucine intake also prevented HFD-induced hyperglycemia, which was associated with improved insulin sensitivity, decreased plasma concentrations of glucagon and glucogenic amino acids, and downregulation of hepatic glucose-6-phosphatase. Additionally, plasma levels of total and LDL cholesterol were decreased by 27% (P < 0.001) and 53% (P < 0.001), respectively, in leucine supplemented HFD-fed mice compared with the control mice fed the same diet. The reduction in cholesterol levels was largely independent of leucine-induced changes in adiposity. In conclusion, increases in dietary leucine intake substantially decrease diet-induced obesity, hyperglycemia, and hypercholesterolemia in mice with ad libitum consumption of HFD likely via multiple mechanisms.
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
Changes in Energy Expenditure Resulting from Altered Body Weight
Leibel, R. L., Rosenbaum, M., & Hirsch, J. (1995) · New England Journal of Medicine · doi:10.1056/nejm199503093321001 · Cited by 2,012
Absence of S6K1 protects against age- and diet-induced obesity while enhancing insulin sensitivity
Um, S. H., Frigerio, F., Watanabe, M., Picard, F., Joaquin, M., Sticker, M., Fumagalli, S., Allegrini, P. R., Kozma, S. C., Auwerx, J., et al. (2004) · Nature · doi:10.1038/nature02866 · Cited by 1,677
Regulation of translation initiation by FRAP/mTOR
Gingras, A.-C., Raught, B., & Sonenberg, N. (2001) · Genes & Development · doi:10.1101/gad.887201 · Cited by 1,545
Skov, A., Toubro, S., Rønn, B., Holm, L., & Astrup, A. (1999) · International Journal of Obesity · doi:10.1038/sj.ijo.0800867 · Cited by 743
Rosenbaum, M. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25977 · Cited by 575
Anthony, J. C., Anthony, T. G., Kimball, S. R., & Jefferson, L. S. (2001) · The Journal of Nutrition · doi:10.1093/jn/131.3.856s · Cited by 434
Freedman, M. R., King, J., & Kennedy, E. (2001) · Obesity Research · doi:10.1038/oby.2001.113 · Cited by 421
Suppression of β Cell Energy Metabolism and Insulin Release by PGC-1α
Yoon, J. C., Xu, G., Deeney, J. T., Yang, S.-N., Rhee, J., Puigserver, P., Levens, A. R., Yang, R., Zhang, C.-Y., Lowell, B. B., et al. (2003) · Developmental Cell · doi:10.1016/s1534-5807(03)00170-9 · Cited by 143
Cited by
Metabolite profiles and the risk of developing diabetes
Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., Lewis, G. D., Fox, C. S., Jacques, P. F., Fernandez, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2307 · Cited by 3,143
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165
Mechanisms of Insulin Action and Insulin Resistance
Petersen, M. C., & Shulman, G. I. (2018) · Physiological Reviews · doi:10.1152/physrev.00063.2017 · Cited by 3,028
Branched-chain amino acids in metabolic signalling and insulin resistance
Lynch, C. J., & Adams, S. H. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2014.171 · Cited by 1,461
Interplay between lipids and branched-chain amino acids in development of insulin resistance
Newgard, C. B. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.01.024 · Cited by 1,080
Metadata
- Authors
- Zhang, Y., Guo, K., LeBlanc, R. E., Loh, D., Schwartz, G. J., & Yu, Y.-H.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2007-06-01
- Volume
- 56
- Issue
- 6
- Pages
- 1647-1654
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2113912243
- Cited by
- 530
- References
- 8
- FWCI
- 11.35
- 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
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.