Literature DB >> 25413048

Surrogate measures of insulin resistance: does one size fit all?

Donald C Simonson1.   

Abstract

Insulin resistance and a relative deficiency in insulin secretion are the major pathophysiological features of impaired glucose tolerance and type 2 diabetes. Although the euglycaemic-hyperinsulinaemic clamp and the hyperglycaemic clamp are the 'gold standards', respectively, for measuring these metabolic defects, there has been an active search during the past few decades for simpler and less expensive surrogate measures of insulin resistance that can be applied more globally in epidemiological studies or large clinical trials. These surrogate markers primarily rely on plasma insulin and glucose levels measured either in the fasting state or after an oral glucose challenge. Although many of these surrogate measures correlate well with the clamp (with r values frequently as high as 0.60-0.70) within racially and ethnically homogeneous populations, it is not clear how well they can be used to compare insulin action across different groups. In this issue of Diabetologia, Ahuja et al (DOI: 10.1007/s00125-014-3414-6 ) have used these methods to compare insulin resistance in a white population in the USA with a Japanese population in Japan. The relative merits and drawbacks of applying these techniques in different populations are discussed.

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Year:  2014        PMID: 25413048     DOI: 10.1007/s00125-014-3454-y

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  12 in total

1.  Use of the oral glucose tolerance test to assess insulin release and insulin sensitivity.

Authors:  M Stumvoll; A Mitrakou; W Pimenta; T Jenssen; H Yki-Järvinen; T Van Haeften; W Renn; J Gerich
Journal:  Diabetes Care       Date:  2000-03       Impact factor: 19.112

2.  IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030.

Authors:  David R Whiting; Leonor Guariguata; Clara Weil; Jonathan Shaw
Journal:  Diabetes Res Clin Pract       Date:  2011-11-12       Impact factor: 5.602

3.  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

4.  Comparison of HOMA-IR, HOMA-β% and disposition index between US white men and Japanese men in Japan: the ERA JUMP study.

Authors:  Vasudha Ahuja; Takashi Kadowaki; Rhobert W Evans; Aya Kadota; Tomonori Okamura; Samar R El Khoudary; Akira Fujiyoshi; Emma J M Barinas-Mitchell; Takashi Hisamatsu; Abhishek Vishnu; Katsuyuki Miura; Hiroshi Maegawa; Aiman El-Saed; Atsunori Kashiwagi; Lewis H Kuller; Hirotsugu Ueshima; Akira Sekikawa
Journal:  Diabetologia       Date:  2014-10-15       Impact factor: 10.122

5.  Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans.

Authors:  A Katz; S S Nambi; K Mather; A D Baron; D A Follmann; G Sullivan; M J Quon
Journal:  J Clin Endocrinol Metab       Date:  2000-07       Impact factor: 5.958

6.  Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp.

Authors:  M Matsuda; R A DeFronzo
Journal:  Diabetes Care       Date:  1999-09       Impact factor: 19.112

7.  Global prevalence of diabetes: estimates for the year 2000 and projections for 2030.

Authors:  Sarah Wild; Gojka Roglic; Anders Green; Richard Sicree; Hilary King
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

8.  Evidence-based estimation of insulin resistance.

Authors:  John R Petrie
Journal:  Diabetologia       Date:  2014-07-17       Impact factor: 10.122

9.  Glucose clamp technique: a method for quantifying insulin secretion and resistance.

Authors:  R A DeFronzo; J D Tobin; R Andres
Journal:  Am J Physiol       Date:  1979-09

10.  Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity.

Authors:  K G M M Alberti; Robert H Eckel; Scott M Grundy; Paul Z Zimmet; James I Cleeman; Karen A Donato; Jean-Charles Fruchart; W Philip T James; Catherine M Loria; Sidney C Smith
Journal:  Circulation       Date:  2009-10-05       Impact factor: 29.690

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  4 in total

1.  Comparison of HOMA-IR, HOMA-β% and disposition index between US white men and Japanese men in Japan in the ERA JUMP study: was the calculation of disposition index legitimate?

Authors:  Keishi Yamauchi; Yuka Sato; Yasuto Nakasone; Toru Aizawa
Journal:  Diabetologia       Date:  2015-05-14       Impact factor: 10.122

2.  Heart Rate, Autonomic Function, and Future Changes in Glucose Metabolism in Individuals Without Diabetes: The Whitehall II Cohort Study.

Authors:  Christian Stevns Hansen; Kristine Færch; Marit Eika Jørgensen; Marek Malik; Daniel R Witte; Eric J Brunner; Adam G Tabák; Mika Kivimäki; Dorte Vistisen
Journal:  Diabetes Care       Date:  2019-04-02       Impact factor: 19.112

3.  InsuTAG: A novel physiologically relevant predictor for insulin resistance and metabolic syndrome.

Authors:  Rohith N Thota; Kylie A Abbott; Jessica J A Ferguson; Martin Veysey; Mark Lucock; Suzanne Niblett; Katrina King; Manohar L Garg
Journal:  Sci Rep       Date:  2017-11-09       Impact factor: 4.379

4.  Interferon-alpha 2 but not Interferon-gamma serum levels are associated with intramuscular fat in obese patients with nonalcoholic fatty liver disease.

Authors:  Giovanni Tarantino; Susan Costantini; Vincenzo Citro; Paolo Conforti; Francesca Capone; Angela Sorice; Domenico Capone
Journal:  J Transl Med       Date:  2019-01-03       Impact factor: 5.531

  4 in total

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