Literature DB >> 11134088

Insulin sensitivity and its measurement: structural commonalities among the methods.

J Radziuk1.   

Abstract

Insulin is the principal hormone of metabolic regulation. Reduced responses to insulin constitute an underlying feature of type 2 diabetes. It is, therefore, incumbent on those who work in this area (as well as many others) to characterize this response, in as simple and consistent a way as possible, so that this measure can be used both in the investigational and clinical setting. This type of approach, although eminently useful, is necessarily an oversimplification. Not only does insulin sensitivity change in pathological situations, but also in normal physiology. Tissue-specific, metabolite-specific, as well as process-specific responses may be expected to occur. Variations also occur in time-depending on the physiological state of the individual (e.g. pregnancy, aging) or following diurnal rhythms. It is perhaps remarkable that any consistent assessment of overall insulin sensitivity can be made. The observation that this can often be achieved has led to hypotheses suggesting that sensitivity to insulin is primarily determined at a single site (tissue, metabolite). At the same time, there are many discussions about the inconsistencies inherent in different approaches to the measurement of this parameter, suggesting that some of these variants, metabolic or otherwise, could lead to the low correlation between methods sometimes seen. Nevertheless, most methods used in the assessment of insulin sensitivity examine the response to insulin of a single metabolite, glucose, primarily in the muscle and liver, and under fasting conditions and should, therefore, demonstrate insulin sensitivity that is comparable among methods.

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Year:  2000        PMID: 11134088     DOI: 10.1210/jcem.85.12.7025

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  56 in total

1.  Cognitive impairment in nondiabetic middle-aged and older adults is associated with insulin resistance.

Authors:  H Bruehl; V Sweat; J Hassenstab; V Polyakov; A Convit
Journal:  J Clin Exp Neuropsychol       Date:  2010-06       Impact factor: 2.475

2.  Heritability of model-derived parameters of beta cell secretion during intravenous and oral glucose tolerance tests: a study of twins.

Authors:  M Lehtovirta; J Kaprio; L Groop; M Trombetta; R C Bonadonna
Journal:  Diabetologia       Date:  2005-06-24       Impact factor: 10.122

3.  Ovarian steroids modulate neuroendocrine dysfunction in polycystic ovary syndrome.

Authors:  S A R Doi; M Al-Zaid; P A Towers; C J Scott; K A S Al-Shoumer
Journal:  J Endocrinol Invest       Date:  2005-11       Impact factor: 4.256

4.  Assessment of insulin resistance in fructose-fed rats with 125I-6-deoxy-6-iodo-D-glucose, a new tracer of glucose transport.

Authors:  Pascale Perret; Lotfi Slimani; Arnaud Briat; Danièle Villemain; Serge Halimi; Jacques Demongeot; Daniel Fagret; Catherine Ghezzi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-12-15       Impact factor: 9.236

Review 5.  Measurement of insulin resistance in chronic kidney disease.

Authors:  Hien Pham; Kristina M Utzschneider; Ian H de Boer
Journal:  Curr Opin Nephrol Hypertens       Date:  2011-11       Impact factor: 2.894

6.  Polychlorinated biphenyl exposure and glucose metabolism in 9-year-old Danish children.

Authors:  Tina K Jensen; Amalie G Timmermann; Laura I Rossing; Mathias Ried-Larsen; Anders Grøntved; Lars B Andersen; Christine Dalgaard; Oluf H Hansen; Thomas Scheike; Flemming Nielsen; Philippe Grandjean
Journal:  J Clin Endocrinol Metab       Date:  2014-12       Impact factor: 5.958

7.  Insulin resistance is a risk factor for progression to type 1 diabetes.

Authors:  S Fourlanos; P Narendran; G B Byrnes; P G Colman; L C Harrison
Journal:  Diabetologia       Date:  2004-10-06       Impact factor: 10.122

8.  Probiotics improve high fat diet-induced hepatic steatosis and insulin resistance by increasing hepatic NKT cells.

Authors:  Xiong Ma; Jing Hua; Zhiping Li
Journal:  J Hepatol       Date:  2008-06-30       Impact factor: 25.083

9.  Insulin resistance and its association with the components of the metabolic syndrome among obese children and adolescents.

Authors:  Carlos Juárez-López; Miguel Klünder-Klünder; Patricia Medina-Bravo; Adrián Madrigal-Azcárate; Eliezer Mass-Díaz; Samuel Flores-Huerta
Journal:  BMC Public Health       Date:  2010-06-07       Impact factor: 3.295

10.  Assessment of insulin resistance by a 13C glucose breath test: a new tool for early diagnosis and follow-up of high-risk patients.

Authors:  Meir Mizrahi; Gadi Lalazar; Tomer Adar; Itamar Raz; Yaron Ilan
Journal:  Nutr J       Date:  2010-05-27       Impact factor: 3.271

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