The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Branched-Chain and Aromatic Amino Acids Are Predictors of Insulin Resistance in Young Adults
Open accessAbstract
OBJECTIVE: Branched-chain and aromatic amino acids are associated with the risk for future type 2 diabetes; however, the underlying mechanisms remain elusive. We tested whether amino acids predict insulin resistance index in healthy young adults. RESEARCH DESIGN AND METHODS: Circulating isoleucine, leucine, valine, phenylalanine, tyrosine, and six additional amino acids were quantified in 1,680 individuals from the population-based Cardiovascular Risk in Young Finns Study (baseline age 32 ± 5 years; 54% women). Insulin resistance was estimated by homeostasis model assessment (HOMA) at baseline and 6-year follow-up. Amino acid associations with HOMA of insulin resistance (HOMA-IR) and glucose were assessed using regression models adjusted for established risk factors. We further examined whether amino acid profiling could augment risk assessment of insulin resistance (defined as 6-year HOMA-IR >90th percentile) in early adulthood. RESULTS: Isoleucine, leucine, valine, phenylalanine, and tyrosine were associated with HOMA-IR at baseline and for men at 6-year follow-up, while for women only leucine, valine, and phenylalanine predicted 6-year HOMA-IR (P < 0.05). None of the other amino acids were prospectively associated with HOMA-IR. The sum of branched-chain and aromatic amino acid concentrations was associated with 6-year insulin resistance for men (odds ratio 2.09 [95% CI 1.38–3.17]; P = 0.0005); however, including the amino acid score in prediction models did not improve risk discrimination. CONCLUSIONS: Branched-chain and aromatic amino acids are markers of the development of insulin resistance in young, normoglycemic adults, with most pronounced associations for men. These findings suggest that the association of branched-chain and aromatic amino acids with the risk for future diabetes is at least partly mediated through insulin resistance.
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
Alberti, K. G. M. M., Eckel, R. H., Grundy, S. M., Zimmet, P. Z., Cleeman, J. I., Donato, K. A., Fruchart, J.-C., James, W. P. T., Loria, C. M., & Smith, S. C. (2009) · Circulation · doi:10.1161/circulationaha.109.192644 · Cited by 14,860
Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine · doi:10.1002/sim.2929 · Cited by 6,493
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114
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
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
Physical activity from childhood to adulthood
Telama, R., Yang, X., Viikari, J., Välimäki, I., Wanne, O., & Raitakari, O. (2005) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2004.12.003 · Cited by 1,585
Self-citationLillioja, S., Mott, D. M., Spraul, M., Ferraro, R., Foley, J. E., Ravussin, E., Knowler, W. C., Bennett, P. H., & Bogardus, C. (1993) · New England Journal of Medicine · doi:10.1056/nejm199312303292703 · Cited by 1,508
Molecular and metabolic mechanisms of insulin resistance and β-cell failure in type 2 diabetes
Muoio, D. M., & Newgard, C. B. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2327 · Cited by 1,177
Disordered lipid metabolism and the pathogenesis of insulin resistance.
Savage, D. B., Petersen, K. F., & Shulman, G. I. (2007) · Physiological Reviews · doi:10.1152/physrev.00024.2006 · Cited by 1,107
Warram, J. H., Martin, B. C., Krolewski, A. S., Soeldner, J. S., & Kahn, C. R. (1990) · Annals of Internal Medicine · doi:10.7326/0003-4819-113-12-909 · Cited by 1,038
Cited by
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
Mendelian randomization in cardiometabolic disease: challenges in evaluating causality
Holmes, M. V., Ala-Korpela, M., & Smith, G. D. (2017) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2017.78 · Cited by 679
Self-citationDimou, A., Tsimihodimos, V., & Bairaktari, E. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23074022 · Cited by 253
Diabetes and branched‐chain amino acids: What is the link?: 糖尿病与支链氨基酸:有什么关联吗?
Bloomgarden, Z. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12645 · Cited by 229
Heianza, Y., Sun, D., Li, X., DiDonato, J. A., Bray, G. A., Sacks, F. M., & Qi, L. (2019) · Gut · doi:10.1136/gutjnl-2018-316155 · Cited by 177
Metadata
- Authors
- Würtz, P., Soininen, P., Kangas, A. J., Rönnemaa, T., Lehtimäki, T., Kähönen, M., Viikari, J. S., Raitakari, O. T., & Ala-Korpela, M.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2013-02-13
- Volume
- 36
- Issue
- 3
- Pages
- 648-655
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2060552707
- Cited by
- 548
- References
- 36
- FWCI
- 16.57
- 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: Branched-Chain and Aromatic Amino Acids Are Predictors of Insulin Resistance in Young Adults. https://app.cochat.ai/papers/10.2337/dc12-0895
- The paper
- Würtz, P., Soininen, P., Kangas, A. J., Rönnemaa, T., Lehtimäki, T., Kähönen, M., Viikari, J. S., Raitakari, O. T., & Ala-Korpela, M. (2013). Branched-Chain and Aromatic Amino Acids Are Predictors of Insulin Resistance in Young Adults. Diabetes Care. https://doi.org/10.2337/dc12-0895
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.