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Branched-Chain and Aromatic Amino Acids Are Predictors of Insulin Resistance in Young Adults

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TLDR
The association of branched-chain and aromatic amino acids with the risk for future diabetes is at least partly mediated through insulin resistance, with most pronounced associations for men.
Abstract
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.

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References
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Journal ArticleDOI

Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond

TL;DR: Two new measures, one based on integrated sensitivity and specificity and the other on reclassification tables, are introduced that offer incremental information over the AUC and are proposed to be considered in addition to the A UC when assessing the performance of newer biomarkers.
Journal ArticleDOI

Use and Abuse of HOMA Modeling

TL;DR: The HOMA model has become a widely used clinical and epidemiological tool and, when used appropriately, it can yield valuable data, however, as with all models, the primary input data needs to be robust, and the data need to be interpreted carefully.
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