Andrea Tura1, Gaetano Chemello2, Julia Szendroedi3,4,5, Christian Göbl6, Kristine Færch7, Jana Vrbíková8, Giovanni Pacini2, Ele Ferrannini9, Michael Roden3,4,5. 1. Metabolic Unit, CNR Institute of Neuroscience, Corso Stati Uniti 4, 35127, Padova, Italy. andrea.tura@cnr.it. 2. Metabolic Unit, CNR Institute of Neuroscience, Corso Stati Uniti 4, 35127, Padova, Italy. 3. Division of Endocrinology and Diabetology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany. 4. Institute for Clinical Diabetology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research, Düsseldorf, Germany. 5. German Center for Diabetes Research (DZD), München-Neuherberg, Germany. 6. Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria. 7. Steno Diabetes Center Copenhagen, Gentofte, Denmark. 8. Institute of Endocrinology, Prague, Czech Republic. 9. CNR Institute of Clinical Physiology, Pisa, Italy.
Abstract
AIMS/HYPOTHESIS: The euglycaemic-hyperinsulinaemic clamp is the gold-standard method for measuring insulin sensitivity, but is less suitable for large clinical trials. Thus, several indices have been developed for evaluating insulin sensitivity from the oral glucose tolerance test (OGTT). However, most of them yield values different from those obtained by the clamp method. The aim of this study was to develop a new index to predict clamp-derived insulin sensitivity (M value) from the OGTT-derived oral glucose insulin sensitivity index (OGIS). METHODS: We analysed datasets of people that underwent both a clamp and an OGTT or meal test, thereby allowing calculation of both the M value and OGIS. The population was divided into a training and a validation cohort (n = 359 and n = 154, respectively). After a stepwise selection approach, the best model for M value prediction was applied to the validation cohort. This cohort was also divided into subgroups according to glucose tolerance, obesity category and age. RESULTS: The new index, called PREDIcted M (PREDIM), was based on OGIS, BMI, 2 h glucose during OGTT and fasting insulin. Bland-Altman analysis revealed a good relationship between the M value and PREDIM in the validation dataset (only 9 of 154 observations outside limits of agreement). Also, no significant differences were found between the M value and PREDIM (equivalence test: p < 0.0063). Subgroup stratification showed that measured M value and PREDIM have a similar ability to detect intergroup differences (p < 0.02, both M value and PREDIM). CONCLUSIONS/ INTERPRETATION: The new index PREDIM provides excellent prediction of M values from OGTT or meal data, thereby allowing comparison of insulin sensitivity between studies using different tests.
AIMS/HYPOTHESIS: The euglycaemic-hyperinsulinaemic clamp is the gold-standard method for measuring insulin sensitivity, but is less suitable for large clinical trials. Thus, several indices have been developed for evaluating insulin sensitivity from the oral glucose tolerance test (OGTT). However, most of them yield values different from those obtained by the clamp method. The aim of this study was to develop a new index to predict clamp-derived insulin sensitivity (M value) from the OGTT-derived oral glucose insulin sensitivity index (OGIS). METHODS: We analysed datasets of people that underwent both a clamp and an OGTT or meal test, thereby allowing calculation of both the M value and OGIS. The population was divided into a training and a validation cohort (n = 359 and n = 154, respectively). After a stepwise selection approach, the best model for M value prediction was applied to the validation cohort. This cohort was also divided into subgroups according to glucose tolerance, obesity category and age. RESULTS: The new index, called PREDIcted M (PREDIM), was based on OGIS, BMI, 2 h glucose during OGTT and fasting insulin. Bland-Altman analysis revealed a good relationship between the M value and PREDIM in the validation dataset (only 9 of 154 observations outside limits of agreement). Also, no significant differences were found between the M value and PREDIM (equivalence test: p < 0.0063). Subgroup stratification showed that measured M value and PREDIM have a similar ability to detect intergroup differences (p < 0.02, both M value and PREDIM). CONCLUSIONS/ INTERPRETATION: The new index PREDIM provides excellent prediction of M values from OGTT or meal data, thereby allowing comparison of insulin sensitivity between studies using different tests.
Authors: Julia Szendroedi; Toru Yoshimura; Esther Phielix; Chrysi Koliaki; Mellissa Marcucci; Dongyan Zhang; Tomas Jelenik; Janette Müller; Christian Herder; Peter Nowotny; Gerald I Shulman; Michael Roden Journal: Proc Natl Acad Sci U S A Date: 2014-06-16 Impact factor: 11.205
Authors: Stefan Michiels; Aurélie Le Maître; Marc Buyse; Tomasz Burzykowski; Emilie Maillard; Jan Bogaerts; Jan B Vermorken; Wilfried Budach; Thomas F Pajak; Kian K Ang; Jean Bourhis; Jean-Pierre Pignon Journal: Lancet Oncol Date: 2009-02-24 Impact factor: 41.316
Authors: Charmaine S Tam; Wenting Xie; William D Johnson; William T Cefalu; Leanne M Redman; Eric Ravussin Journal: Diabetes Care Date: 2012-04-17 Impact factor: 19.112
Authors: Johanna Maria Brix; Andrea Tura; Carsten Thilo Herz; Astrid Feder; Eva-Christina Krzizek; Verena Parzer; Giovanni Pacini; Bernhard Ludvik Journal: Obes Facts Date: 2021-09-08 Impact factor: 3.942
Authors: Daniela Vejrazkova; Marketa Vankova; Josef Vcelak; Hana Krejci; Katerina Anderlova; Andrea Tura; Giovanni Pacini; Alena Sumova; Martin Sladek; Bela Bendlova Journal: Front Endocrinol (Lausanne) Date: 2022-06-06 Impact factor: 6.055
Authors: Benedetta Salvatori; Tina Linder; Daniel Eppel; Micaela Morettini; Laura Burattini; Christian Göbl; Andrea Tura Journal: Cardiovasc Diabetol Date: 2022-10-18 Impact factor: 8.949
Authors: Yanislava Karusheva; Klaus Strassburger; Daniel F Markgraf; Oana-Patricia Zaharia; Kálmán Bódis; Theresa Kössler; Andrea Tura; Giovanni Pacini; Volker Burkart; Michael Roden; Julia Szendroedi Journal: J Endocr Soc Date: 2021-04-20
Authors: Veronica Falcone; Grammata Kotzaeridi; Melanie Hanne Breil; Ingo Rosicky; Tina Stopp; Gülen Yerlikaya-Schatten; Michael Feichtinger; Wolfgang Eppel; Peter Husslein; Andrea Tura; Christian S Göbl Journal: Diabetes Metab J Date: 2019-03-12 Impact factor: 5.376
Authors: Yanislava Karusheva; Theresa Koessler; Klaus Strassburger; Daniel Markgraf; Lucia Mastrototaro; Tomas Jelenik; Marie-Christine Simon; Dominik Pesta; Oana-Patricia Zaharia; Kálmán Bódis; Felix Bärenz; Dieter Schmoll; Martin Wolkersdorfer; Andrea Tura; Giovanni Pacini; Volker Burkart; Karsten Müssig; Julia Szendroedi; Michael Roden Journal: Am J Clin Nutr Date: 2019-11-01 Impact factor: 7.045
Authors: Micaela Morettini; Carlo Castriota; Christian Göbl; Alexandra Kautzky-Willer; Giovanni Pacini; Laura Burattini; Andrea Tura Journal: Diabetes Metab J Date: 2020-01-13 Impact factor: 5.376