2010
DOI: 10.1371/journal.pone.0010883
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α-Hydroxybutyrate Is an Early Biomarker of Insulin Resistance and Glucose Intolerance in a Nondiabetic Population

Abstract: BackgroundInsulin resistance is a risk factor for type 2 diabetes and cardiovascular disease progression. Current diagnostic tests, such as glycemic indicators, have limitations in the early detection of insulin resistant individuals. We searched for novel biomarkers identifying these at-risk subjects.MethodsUsing mass spectrometry, non-targeted biochemical profiling was conducted in a cohort of 399 nondiabetic subjects representing a broad spectrum of insulin sensitivity and glucose tolerance (based on the hy… Show more

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Cited by 626 publications
(595 citation statements)
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“…23 A number of metabolites were identified whose plasma levels correlated with IR as measured by M ffm (M normalized by fat-free mass; M wbm gave similar correlations) obtained from the hyperinsulinemic euglycemic clamp. The highest correlating metabolite was α-HB.…”
Section: Algorithm Development Backgroundmentioning
confidence: 84%
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“…23 A number of metabolites were identified whose plasma levels correlated with IR as measured by M ffm (M normalized by fat-free mass; M wbm gave similar correlations) obtained from the hyperinsulinemic euglycemic clamp. The highest correlating metabolite was α-HB.…”
Section: Algorithm Development Backgroundmentioning
confidence: 84%
“…Metabolomic studies in metabolic diseases 31 have been used to identify novel biomarkers that associate with IR 23,32,33 and predict T2DM. [34][35][36] The three metabolites used in the test have a number of potential roles in metabolic pathways relevant to insulin action, insulin secretion, or β-cell function.…”
Section: Metabolite Biomarkers Of Insulin Resistancementioning
confidence: 99%
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“…As both intermediate and end point markers of diverse biologic processes in the human body, observations of altered metabolite concentrations provide access to functionally relevant read-outs of perturbed disease-associated pathways in human metabolism. [9][10][11][12] In this investigation, we used cell-free urine supernatants collected from the kidney transplant recipients enrolled in the CTOT-04 study to conduct a large-scale study of the urine metabolome to investigate whether urine metabolite profiles are diagnostic and prognostic of ACR. We further examined the diagnostic and prognostic performance of a combination of metabolites and the previously identified urinary cell mRNA signature.…”
mentioning
confidence: 99%