Literature DB >> 21435930

How can we measure insulin sensitivity/resistance?

B Antuna-Puente1, E Disse, R Rabasa-Lhoret, M Laville, J Capeau, J-P Bastard.   

Abstract

Insulin resistance represents a major public health problem, as it plays a major role in the pathophysiology of type 2 diabetes mellitus; it is also associated with increased cardiovascular risk and atherogenic dyslipidaemia, and is a central component of the cluster of metabolic abnormalities that comprise the metabolic syndrome. Thus, the development of tools to quantify insulin sensitivity/resistance has been the main objective of a number of studies. Insulin resistance can be estimated with the use of several biological measurements that evaluate different aspects of this complex situation. To that end, it requires various resources, ranging from just a single fasting blood sample for simple indices, such as the HOMA or QUICKI, to a research setting in which to perform the gold-standard hyperinsulinaemic-euglycaemic clamp test. The choice of method for evaluating insulin resistance depends on the nature of the information required (classification of individual subjects, group comparisons, precise measurement of either global, muscle or liver insulin sensitivity/resistance) and on the available resources. The aim of this review is to analyze the most frequently used assay methods in an attempt to evaluate when and why these methods may be useful.
Copyright © 2011 Elsevier Masson SAS. All rights reserved.

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Year:  2011        PMID: 21435930     DOI: 10.1016/j.diabet.2011.01.002

Source DB:  PubMed          Journal:  Diabetes Metab        ISSN: 1262-3636            Impact factor:   6.041


  70 in total

1.  Surrogate measures of insulin sensitivity vs the hyperinsulinaemic-euglycaemic clamp: a meta-analysis.

Authors:  Julia Otten; Bo Ahrén; Tommy Olsson
Journal:  Diabetologia       Date:  2014-06-03       Impact factor: 10.122

2.  Effect of the intake of dietary protein on insulin resistance in subjects with obesity: a randomized controlled clinical trial.

Authors:  Luis E González-Salazar; Edgar Pichardo-Ontiveros; Berenice Palacios-González; Ana Vigil-Martínez; Omar Granados-Portillo; Rocío Guizar-Heredia; Adriana Flores-López; Isabel Medina-Vera; Pamela K Heredia-G-Cantón; Karla G Hernández-Gómez; Georgina Castelán-Licona; Liliana Arteaga-Sánchez; Aurora E Serralde-Zúñiga; Azalia Ávila-Nava; Lilia G Noriega-López; Juan G Reyes-García; Carlos Zerrweck; Nimbe Torres; Armando R Tovar; Martha Guevara-Cruz
Journal:  Eur J Nutr       Date:  2020-11-03       Impact factor: 5.614

3.  Leptin trajectories from birth to mid-childhood and cardio-metabolic health in early adolescence.

Authors:  Ling-Jun Li; Sheryl L Rifas-Shiman; Izzuddin M Aris; Christos Mantzoros; Marie-France Hivert; Emily Oken
Journal:  Metabolism       Date:  2018-11-07       Impact factor: 8.694

4.  Measurement of bioactive osteocalcin in humans using a novel immunoassay reveals association with glucose metabolism and β-cell function.

Authors:  Julie Lacombe; Omar Al Rifai; Lorraine Loter; Thomas Moran; Anne-Frédérique Turcotte; Thomas Grenier-Larouche; André Tchernof; Laurent Biertho; André C Carpentier; Denis Prud'homme; Rémi Rabasa-Lhoret; Gerard Karsenty; Claudia Gagnon; Weiping Jiang; Mathieu Ferron
Journal:  Am J Physiol Endocrinol Metab       Date:  2020-01-14       Impact factor: 4.310

5.  Type 2 Diabetes Mellitus and Simple Glucose Metabolism Parameters may Reliably Predict Nonalcoholic Fatty Liver Disease Features.

Authors:  Everton Cazzo; Laísa Simakawa Jimenez; Martinho Antonio Gestic; Murillo Pimentel Utrini; Fábio Henrique Mendonça Chaim; Felipe David Mendonça Chaim; José Carlos Pareja; Elinton Adami Chaim
Journal:  Obes Surg       Date:  2018-01       Impact factor: 4.129

6.  HOMA-IR in acromegaly: a systematic review and meta-analysis.

Authors:  Betina Biagetti; Anna Aulinas; Anna Casteras; Santiago Pérez-Hoyos; Rafael Simó
Journal:  Pituitary       Date:  2020-10-21       Impact factor: 4.107

7.  Diagnostic criteria for sarcopenia relate differently to insulin resistance.

Authors:  A Y Bijlsma; C G M Meskers; D van Heemst; R G J Westendorp; A J M de Craen; A B Maier
Journal:  Age (Dordr)       Date:  2013-02-14

Review 8.  Insulin Sensitivity Following Exercise Interventions: Systematic Review and Meta-Analysis of Outcomes Among Healthy Adults.

Authors:  Vicki S Conn; Richelle J Koopman; Todd M Ruppar; Lorraine J Phillips; David R Mehr; Adam R Hafdahl
Journal:  J Prim Care Community Health       Date:  2014-01-27

9.  Unique Metabolic Features of Adults Discordant for Indices of Insulin Resistance.

Authors:  Yilin Song; Esben Søndergaard; Michael D Jensen
Journal:  J Clin Endocrinol Metab       Date:  2020-08-01       Impact factor: 5.958

10.  Parental history of type 2 diabetes, TCF7L2 variant and lower insulin secretion are associated with incident hypertension. Data from the DESIR and RISC cohorts.

Authors:  Fabrice Bonnet; Ronan Roussel; Andrea Natali; Stéphane Cauchi; John Petrie; Martine Laville; Loïc Yengo; Philippe Froguel; Céline Lange; Olivier Lantieri; Michel Marre; Beverley Balkau; Ele Ferrannini
Journal:  Diabetologia       Date:  2013-08-14       Impact factor: 10.122

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