A Novel Fasting Blood Test for Insulin Resistance and Prediabetes

Background: Insulin resistance (IR) can precede the dysglycemic states of prediabetes and type 2 diabetes mellitus (T2DM) by a number of years and is an early marker of risk for metabolic and cardiovascular disease. There is an unmet need for a simple method to measure IR that can be used for routine screening, prospective study, risk assessment, and therapeutic monitoring. We have reported several metabolites whose fasting plasma levels correlated with insulin sensitivity. These metabolites were used in the development of a novel test for IR and prediabetes. Methods: Data from the Relationship between Insulin Sensitivity and Cardiovascular Disease Study were used in an iterative process of algorithm development to define the best combination of metabolites for predicting the M value derived from the hyperinsulinemic euglycemic clamp, the gold standard measure of IR. Subjects were divided into a training set and a test set for algorithm development and validation. The resulting calculated M score, MQ, was utilized to predict IR and the risk of progressing from normal glucose tolerance to impaired glucose tolerance (IGT) over a 3 year period. Results: MQ correlated with actual M values, with an r value of 0.66. In addition, the test detects IR and predicts 3 year IGT progression with areas under the curve of 0.79 and 0.70, respectively, outperforming other simple measures such as fasting insulin, fasting glucose, homeostatic model assessment of IR, or body mass index. Conclusions: The result, Quantose™, is a simple test for IR based on a single fasting blood sample and may have value as an early indicator of risk for the development of prediabetes and T2DM.

[1]  W. Greg Miller,et al.  Insulin Assay Standardization , 2010, Diabetes Care.

[2]  M. Milburn,et al.  Metabolomics as a Key Integrator for “Omic” Advancement of Personalized Medicine and Future Therapies , 2012, Clinical and translational science.

[3]  B. Cheung,et al.  Combined Use of Serum Adiponectin and Tumor Necrosis Factor-Alpha Receptor 2 Levels Was Comparable to 2-Hour Post-Load Glucose in Diabetes Prediction , 2012, PloS one.

[4]  M. Laakso,et al.  How good a marker is insulin level for insulin resistance? , 1993, American journal of epidemiology.

[5]  B. Gower,et al.  Revised QUICKI provides a strong surrogate estimate of insulin sensitivity when compared with the minimal model , 2004, International Journal of Obesity.

[6]  T. J. Cunningham,et al.  Product inhibition of secreted phospholipase A2 may explain lysophosphatidylcholines' unexpected therapeutic properties , 2008, Journal of Inflammation.

[7]  J. Levy,et al.  Use and abuse of HOMA modeling. , 2004, Diabetes care.

[8]  M. Milburn,et al.  Harnessing the Power of the Immune System to Target Cancer , 2013 .

[9]  M. Walker,et al.  The EGIR-RISC STUDY (The European group for the study of insulin resistance: relationship between insulin sensitivity and cardiovascular disease risk): I. Methodology and Objectives , 2004, Diabetologia.

[10]  A Mari,et al.  How to measure insulin sensitivity , 1998, Journal of hypertension.

[11]  R. DeFronzo,et al.  Glucose clamp technique: a method for quantifying insulin secretion and resistance. , 1979, The American journal of physiology.

[12]  Metabolomic analysis of polar metabolites in lipoprotein fractions identifies lipoprotein-specific metabolic profiles and their association with insulin resistance. , 2012, Molecular bioSystems.

[13]  H. Matsushime,et al.  Lysophosphatidylcholine enhances glucose-dependent insulin secretion via an orphan G-protein-coupled receptor. , 2005, Biochemical and biophysical research communications.

[14]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[15]  E. Mariman,et al.  Metabolomics of prolonged fasting in humans reveals new catabolic markers , 2010, Metabolomics.

[16]  V. Mootha,et al.  Metabolite profiles and the risk of developing diabetes , 2011, Nature Network Boston.

[17]  C. Newgard Interplay between lipids and branched-chain amino acids in development of insulin resistance. , 2012, Cell metabolism.

[18]  T. Hansen,et al.  Validation of a Multimarker Model for Assessing Risk of Type 2 Diabetes from a Five-Year Prospective Study of 6784 Danish People (Inter99) , 2009, Journal of diabetes science and technology.

[19]  G. Pacini,et al.  A Model-Based Method for Assessing Insulin Sensitivity From the Oral Glucose Tolerance Test. Diabetes Care 2001;24:539–548 , 2014, Diabetes Care.

[20]  C. Pipper,et al.  [''R"--project for statistical computing]. , 2008, Ugeskrift for laeger.

[21]  R N Bergman,et al.  Assessment of insulin sensitivity in vivo. , 1985, Endocrine reviews.

[22]  Yu Xu,et al.  Serum uric acid associates with the incidence of type 2 diabetes in a prospective cohort of middle-aged and elderly Chinese , 2011, Endocrine.

[23]  G. Reaven,et al.  Resistance to insulin-mediated glucose disposal as a predictor of cardiovascular disease. , 1998, The Journal of clinical endocrinology and metabolism.

[24]  Tom Fiers,et al.  Pilot study for the standardization of insulin immunoassays with isotope dilution liquid chromatography/tandem mass spectrometry. , 2007, Clinical Chemistry.

[25]  G. Reaven,et al.  Insulin Resistance and Hyperinsulinemia , 2008, Diabetes Care.

[26]  G. Boden Obesity, insulin resistance and free fatty acids , 2011, Current opinion in endocrinology, diabetes, and obesity.

[27]  D A Follmann,et al.  The Journal of Clinical Endocrinology & Metabolism Printed in U.S.A. Copyright © 2000 by The Endocrine Society Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans , 2022 .

[28]  R. Turner,et al.  Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man , 1985, Diabetologia.

[29]  M. Milburn,et al.  Analysis of the adult human plasma metabolome. , 2008, Pharmacogenomics.

[30]  Nele Friedrich,et al.  Metabolomics in diabetes research. , 2012, The Journal of endocrinology.

[31]  Hui Chen,et al.  Diagnosing insulin resistance by simple quantitative methods in subjects with normal glucose metabolism. , 2004, Diabetes care.

[32]  G. Reaven Role of Insulin Resistance in Human Disease , 1988, Diabetes.

[33]  M. Stumvoll,et al.  Use of the oral glucose tolerance test to assess insulin release and insulin sensitivity. , 2000, Diabetes care.

[34]  W. Greg Miller,et al.  Insulin Assay Standardization: Leading to Measures of Insulin Sensitivity and Secretion for Practical Clinical Care , 2010, Diabetes Care.

[35]  S. Landaas The formation of 2-hydroxybutyric acid in experimental animals. , 1975, Clinica chimica acta; international journal of clinical chemistry.

[36]  Wolfgang Rathmann,et al.  Prediabetes: a high-risk state for diabetes development , 2012, The Lancet.

[37]  Xavier Robin,et al.  pROC: an open-source package for R and S+ to analyze and compare ROC curves , 2011, BMC Bioinformatics.

[38]  M. Steffes,et al.  Toward standardization of insulin immunoassays. , 2009, Clinical chemistry.

[39]  J. Pankow,et al.  Association of weight status with mortality in adults with incident diabetes. , 2012, JAMA.

[40]  M. Laakso,et al.  Natural history and physiological determinants of changes in glucose tolerance in a non-diabetic population: the RISC Study , 2011, Diabetologia.

[41]  R. Muniyappa,et al.  Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage. , 2008, American journal of physiology. Endocrinology and metabolism.

[42]  E. Disse,et al.  A lipid-parameter-based index for estimating insulin sensitivity and identifying insulin resistance in a healthy population. , 2008, Diabetes & metabolism.

[43]  M. Matsuda,et al.  Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. , 1999, Diabetes care.

[44]  R. Walker,et al.  Diagnosing insulin resistance in the general population. , 2001, Diabetes care.

[45]  B. Singh,et al.  A simple measure of insulin resistance , 1995, The Lancet.

[46]  K. Watson,et al.  Effect of regression from prediabetes to normal glucose regulation on long-term reduction in diabetes risk: results from the Diabetes Prevention Program Outcomes Study , 2012, The Lancet.

[47]  Gabi Kastenmüller,et al.  Early Metabolic Markers of the Development of Dysglycemia and Type 2 Diabetes and Their Physiological Significance , 2013, Diabetes.

[48]  M. Walker,et al.  Insulin resistance, insulin response, and obesity as indicators of metabolic risk. , 2007, The Journal of clinical endocrinology and metabolism.

[49]  G. Reaven Banting lecture 1988. Role of insulin resistance in human disease. , 1988, Diabetes.

[50]  Andrea Natali,et al.  α-Hydroxybutyrate Is an Early Biomarker of Insulin Resistance and Glucose Intolerance in a Nondiabetic Population , 2010, PloS one.

[51]  C. Herder,et al.  Biomarkers for the Prediction of Type 2 Diabetes and Cardiovascular Disease , 2011, Clinical pharmacology and therapeutics.

[52]  J. Flier,et al.  Obesity and insulin resistance. , 2000, The Journal of clinical investigation.