Literature DB >> 9794728

How to measure insulin sensitivity.

E Ferrannini1, A Mari.   

Abstract

Insulin resistance is common in the general population and tends to cluster with glucose intolerance, dyslipidaemia and high blood pressure. The importance of the insulin-resistant phenotype for the assessment of cardiovascular risk and response to intervention is increasingly being recognized. Therefore, there is a need for an accurate and reproducible method for measuring insulin resistance in vivo. The euglycaemic insulin clamp is currently the best available standard technique. It provides steady-state measures of insulin action and is easily combined with a number of other investigative methods (tracer dilution, limb catheterization, indirect calorimetry, positron emission tomography and nuclear magnetic resonance scans). Whereas homeostatic model assessment uses fasting plasma glucose and insulin concentrations to derive indices of insulin sensitivity and secretion from a mathematical model, other techniques are based on the exogenous infusion of glucose or insulin, or both, either under steady-state (the insulin suppression test) or under dynamic conditions (insulin tolerance test, intravenous glucose-tolerance test with minimal model analysis, and constant infusion of glucose with model assessment). This article recalls the principles of insulin action, with special reference to the concept of clearance and the equivalence of different approaches to estimating this function. Merits and disadvantages of the various techniques are then concisely reviewed, with emphasis on their relative feasibilities and reliabilities. Recent developments and future trends are mentioned. Criteria for choice and some reference data are given to aid the clinical investigator.

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Year:  1998        PMID: 9794728     DOI: 10.1097/00004872-199816070-00001

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  95 in total

Review 1.  The metabolic syndrome and related cardiovascular risk.

Authors:  F Ramos; H P Baglivo; A J Ramírez; R Sánchez
Journal:  Curr Hypertens Rep       Date:  2001-04       Impact factor: 5.369

2.  A spectrum of dynamic insulin sensitivity test protocols.

Authors:  Paul D Docherty; J Geoffrey Chase; Lisa Te Morenga; Thomas F Lotz; Juliet E Berkeley; Geoffrey M Shaw; Kirsten A McAuley; Jim I Mann
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

Review 3.  The effects of HIV protease inhibitors on carbohydrate and lipid metabolism.

Authors:  Grace A Lee; Madhu N Rao; Carl Grunfeld
Journal:  Curr HIV/AIDS Rep       Date:  2005-02       Impact factor: 5.071

4.  Insulin resistance and left ventricular mass in non-diabetic hemodialysis patients.

Authors:  Sebnem Karakan; Siren Sezer; F Nurhan Ozdemir Acar
Journal:  Curr Ther Res Clin Exp       Date:  2012-12

5.  Simple modeling allows prediction of steady-state glucose disposal rate from early data in hyperinsulinemic glucose clamps.

Authors:  Pooja Singal; Ranganath Muniyappa; Robin Chisholm; Gail Hall; Hui Chen; Michael J Quon; Kieren J Mather
Journal:  Am J Physiol Endocrinol Metab       Date:  2009-11-17       Impact factor: 4.310

6.  Insulin resistance and risk factors for cardiovascular disease in young adult survivors of childhood acute lymphoblastic leukemia.

Authors:  Kevin C Oeffinger; Beverley Adams-Huet; Ronald G Victor; Timothy S Church; Peter G Snell; Andrea L Dunn; Debra A Eshelman-Kent; Robert Ross; Peter M Janiszewski; Alicia J Turoff; Sandra Brooks; Gloria Lena Vega
Journal:  J Clin Oncol       Date:  2009-06-29       Impact factor: 44.544

7.  A novel fasting blood test for insulin resistance and prediabetes.

Authors:  Jeff Cobb; Walter Gall; Klaus-Peter Adam; Pamela Nakhle; Eric Button; James Hathorn; Kay Lawton; Michael Milburn; Regis Perichon; Matthew Mitchell; Andrea Natali; Ele Ferrannini
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

Review 8.  Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus.

Authors:  Cornelia B Landersdorfer; William J Jusko
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

9.  Serum phospholipid and cholesteryl ester fatty acids and estimated desaturase activities are related to overweight and cardiovascular risk factors in adolescents.

Authors:  L M Steffen; B Vessby; D R Jacobs; J Steinberger; A Moran; C-P Hong; A R Sinaiko
Journal:  Int J Obes (Lond)       Date:  2008-06-17       Impact factor: 5.095

10.  Neutralization of osteopontin inhibits obesity-induced inflammation and insulin resistance.

Authors:  Florian W Kiefer; Maximilian Zeyda; Karina Gollinger; Birgit Pfau; Angelika Neuhofer; Thomas Weichhart; Marcus D Säemann; René Geyeregger; Michaela Schlederer; Lukas Kenner; Thomas M Stulnig
Journal:  Diabetes       Date:  2010-01-27       Impact factor: 9.461

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