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

Citation
Palmer, N. D., et al. “Metabolomics Identifies Distinctive Metabolite Signatures For Measures Of Glucose Homeostasis: The Insulin Resistance Atherosclerosis Family Study (Iras-Fs).”. The Journal Of Clinical Endocrinology And Metabolism, pp. 1877-1888.
Center UCSD-UCLA
Author Nicholette D Palmer, Hayrettin Okut, Fang-Chi Hsu, Maggie C Y Ng, Yii-Der Ida Chen, Mark O Goodarzi, Kent D Taylor, Jill M Norris, Carlos Lorenzo, Jerome I Rotter, Richard N Bergman, Carl D Langefeld, Lynne E Wagenknecht, Donald W Bowden
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.

Year of Publication
2018
Journal
The Journal of clinical endocrinology and metabolism
Volume
103
Issue
5
Number of Pages
1877-1888
Date Published
12/2018
ISSN Number
1945-7197
DOI
10.1210/jc.2017-02203
Alternate Journal
J. Clin. Endocrinol. Metab.
PMID
29546329
PMCID
PMC6456957
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