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Metabolomics Identifies Distinctive Metabolite Signatures for Measures of Glucose Homeostasis: The Insulin Resistance Atherosclerosis Family Study (IRAS-FS)

Abstract Context Metabolomics provides a biochemical fingerprint that, when coupled with clinical phenotypes, can provide insight into physiological processes. Objective Survey metabolites associated with dynamic and basal measures of glucose homeostasis. Design Analysis of 733 plasma metabolites fr...

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Published in:The journal of clinical endocrinology and metabolism 2018-05, Vol.103 (5), p.1877-1888
Main Authors: Palmer, Nicholette D, Okut, Hayrettin, Hsu, Fang-Chi, Ng, Maggie C Y, Chen, Yii-Der Ida, Goodarzi, Mark O, Taylor, Kent D, Norris, Jill M, Lorenzo, Carlos, Rotter, Jerome I, Bergman, Richard N, Langefeld, Carl D, Wagenknecht, Lynne E, Bowden, Donald W
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Language:English
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Summary:Abstract Context Metabolomics provides a biochemical fingerprint that, when coupled with clinical phenotypes, can provide insight into physiological processes. Objective Survey metabolites associated with dynamic and basal measures of glucose homeostasis. Design Analysis of 733 plasma metabolites from the Insulin Resistance Atherosclerosis Family Study. Setting Community based. Participants One thousand one hundred eleven Mexican Americans. Main Outcome Dynamic measures were obtained from the frequently sampled intravenous glucose tolerance test and included insulin sensitivity and acute insulin response to glucose. Basal measures included homeostatic model assessment of insulin resistance and β-cell function. Results Insulin sensitivity was associated with 99 metabolites (P < 6.82 × 10−5) explaining 28% of the variance (R2adj) beyond 28% by body mass index. Beyond branched chain amino acids (BCAAs; P = 1.85 × 10−18 to 1.70 × 10−5, R2adj = 8.1%) and phospholipids (P = 3.51 × 10−17 to 3.00 × 10−5, R2adj = 14%), novel signatures of long-chain fatty acids (LCFAs; P = 4.49 × 10−23 to 4.14 × 10−7, R2adj = 11%) were observed. Conditional analysis suggested that BCAA and LCFA signatures were independent. LCFAs were not associated with homeostatic model assessment of insulin resistance (P > 0.024). Acute insulin response to glucose was associated with six metabolites; glucose had the strongest association (P = 5.68 × 10−16). Homeostatic model assessment of β-cell function had significant signatures from the urea cycle (P = 9.64 × 10−14 to 7.27 × 10−6, R2adj = 11%). Novel associations of polyunsaturated fatty acids (P = 2.58 × 10−13 to 6.70 × 10−5, R2adj = 10%) and LCFAs (P = 9.06 × 10−15 to 3.93 × 10−7, R2adj = 10%) were observed with glucose effectiveness. Assessment of the hyperbolic relationship between insulin sensitivity and secretion through the disposition index revealed a distinctive signature of polyunsaturated fatty acids (P = 1.55 × 10−12 to 5.81 × 10−6; R2adj = 3.8%) beyond that of its component measures. Conclusions Metabolomics reveals distinct signatures that differentiate dynamic and basal measures of glucose homeostasis and further identifies new metabolite classes associated with dynamic measures, providing expanded insight into the metabolic basis of insulin resistance. Metabolomic analysis reveals distinct signatures that differentiate dynamic and basal measures of glucose homeostasis and provides insight into their biological mechanisms.
ISSN:0021-972X
1945-7197
DOI:10.1210/jc.2017-02203