Literature DB >> 21424899

Natural history and physiological determinants of changes in glucose tolerance in a non-diabetic population: the RISC Study.

E Ferrannini1, A Natali, E Muscelli, P M Nilsson, A Golay, M Laakso, H Beck-Nielsen, A Mari.   

Abstract

AIMS/HYPOTHESIS: The natural history and physiological determinants of glucose intolerance in subjects living in Europe have not been investigated. The aim of this study was to increase our understanding of this area.
METHODS: We analysed the data from a population-based cohort of 1,048 non-diabetic, normotensive men and women (aged 30-60 years) in whom insulin sensitivity was measured by the glucose clamp technique (M/I index; average glucose infusion rate/steady-state insulin concentration) and beta cell function was estimated by mathematical modelling of the oral glucose tolerance test at baseline and 3 years later.
RESULTS: Seventy-seven per cent of the participants had normal glucose tolerance (NGT) and 5% were glucose intolerant both at baseline and follow up; glucose tolerance worsened in 13% (progressors) and improved in 6% (regressors). The metabolic phenotype of the latter three groups was similar (higher prevalence of familial diabetes, older age, higher waist-to-hip ratio, higher fasting and 2 h plasma glucose, higher fasting and 2 h plasma insulin, lower insulin sensitivity and reduced beta cell glucose sensitivity with increased absolute insulin secretion). Adjusting for these factors in a logistic model, progression was predicted by insulin resistance (bottom M/I quartile, OR 2.52 [95% CI 1.51-4.21]) and beta cell glucose insensitivity (bottom quartile, OR 2.39 [95% CI 1.6-3.93]) independently of waist-to-hip ratio (OR 1.44 [95% CI 1.13-1.84] for one SD). At follow up, insulin sensitivity and beta cell glucose sensitivity were unchanged in the stable NGT and stable non-NGT groups, worsened in progressors and improved in regressors. CONCLUSIONS/
INTERPRETATION: Glucose tolerance deteriorates over time in young, healthy Europids. Progressors, regressors and glucose-intolerant participants share a common baseline phenotype. Insulin sensitivity and beta cell glucose sensitivity predict and track changes in glucose tolerance independently of sex, age and obesity.

Entities:  

Mesh:

Year:  2011        PMID: 21424899     DOI: 10.1007/s00125-011-2112-x

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


  32 in total

1.  Meal and oral glucose tests for assessment of beta -cell function: modeling analysis in normal subjects.

Authors:  Andrea Mari; Ole Schmitz; Amalia Gastaldelli; Torben Oestergaard; Birgit Nyholm; Ele Ferrannini
Journal:  Am J Physiol Endocrinol Metab       Date:  2002-08-06       Impact factor: 4.310

2.  Impaired beta cell glucose sensitivity rather than inadequate compensation for insulin resistance is the dominant defect in glucose intolerance.

Authors:  A Mari; A Tura; A Natali; M Laville; M Laakso; R Gabriel; H Beck-Nielsen; E Ferrannini
Journal:  Diabetologia       Date:  2010-01-09       Impact factor: 10.122

3.  Insulin sensitivity and acute insulin response in African-Americans, non-Hispanic whites, and Hispanics with NIDDM: the Insulin Resistance Atherosclerosis Study.

Authors:  S M Haffner; G Howard; E Mayer; R N Bergman; P J Savage; M Rewers; L Mykkänen; A J Karter; R Hamman; M F Saad
Journal:  Diabetes       Date:  1997-01       Impact factor: 9.461

4.  Glucagon dose-response curve for hepatic glucose production and glucose disposal in type 2 diabetic patients and normal individuals.

Authors:  Masafumi Matsuda; Ralph A Defronzo; Leonard Glass; Agostino Consoli; Mauro Giordano; Peter Bressler; Stefano Delprato
Journal:  Metabolism       Date:  2002-09       Impact factor: 8.694

5.  Role of glucose and insulin resistance in development of type 2 diabetes mellitus: results of a 25-year follow-up study.

Authors:  B C Martin; J H Warram; A S Krolewski; R N Bergman; J S Soeldner; C R Kahn
Journal:  Lancet       Date:  1992-10-17       Impact factor: 79.321

6.  The ten-year follow-up of the Bedford survey (1962-1972): glucose tolerance and diabetes.

Authors:  H Keen; R J Jarrett; P McCartney
Journal:  Diabetologia       Date:  1982-02       Impact factor: 10.122

7.  The EGIR-RISC STUDY (The European group for the study of insulin resistance: relationship between insulin sensitivity and cardiovascular disease risk): I. Methodology and objectives.

Authors:  S A Hills; B Balkau; S W Coppack; J M Dekker; A Mari; A Natali; M Walker; E Ferrannini
Journal:  Diabetologia       Date:  2004-02-14       Impact factor: 10.122

8.  Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men.

Authors:  J M Chan; E B Rimm; G A Colditz; M J Stampfer; W C Willett
Journal:  Diabetes Care       Date:  1994-09       Impact factor: 19.112

9.  Insulin resistance and insulin secretory dysfunction as precursors of non-insulin-dependent diabetes mellitus. Prospective studies of Pima Indians.

Authors:  S Lillioja; D M Mott; M Spraul; R Ferraro; J E Foley; E Ravussin; W C Knowler; P H Bennett; C Bogardus
Journal:  N Engl J Med       Date:  1993-12-30       Impact factor: 91.245

10.  Association of fasting glucagon and proinsulin concentrations with insulin resistance.

Authors:  E Ferrannini; E Muscelli; A Natali; R Gabriel; A Mitrakou; A Flyvbjerg; A Golay; K Hojlund
Journal:  Diabetologia       Date:  2007-09-11       Impact factor: 10.122

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  25 in total

1.  A novel test for IGT utilizing metabolite markers of glucose tolerance.

Authors:  Jeff Cobb; Andrea Eckhart; Regis Perichon; Jacob Wulff; Matthew Mitchell; Klaus-Peter Adam; Robert Wolfert; Eric Button; Kay Lawton; Robert Elverson; Bernadette Carr; Margaret Sinnott; Ele Ferrannini
Journal:  J Diabetes Sci Technol       Date:  2014-09-26

2.  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

3.  Changes in Weight and Glucose Can Protect Against Progression in Early Diabetes Independent of Improvements in β-Cell Function.

Authors:  Y R Patel; M S Kirkman; R V Considine; T S Hannon; K J Mather
Journal:  J Clin Endocrinol Metab       Date:  2016-08-17       Impact factor: 5.958

4.  β-cell failure in type 2 diabetes: postulated mechanisms and prospects for prevention and treatment.

Authors:  Philippe A Halban; Kenneth S Polonsky; Donald W Bowden; Meredith A Hawkins; Charlotte Ling; Kieren J Mather; Alvin C Powers; Christopher J Rhodes; Lori Sussel; Gordon C Weir
Journal:  J Clin Endocrinol Metab       Date:  2014-04-08       Impact factor: 5.958

Review 5.  Insulin Resistance and Atherosclerosis: Implications for Insulin-Sensitizing Agents.

Authors:  Antonino Di Pino; Ralph A DeFronzo
Journal:  Endocr Rev       Date:  2019-12-01       Impact factor: 19.871

6.  Delayed timing of post-challenge peak blood glucose predicts declining beta cell function and worsening glucose tolerance over time: insight from the first year postpartum.

Authors:  Caroline K Kramer; Chang Ye; Anthony J G Hanley; Philip W Connelly; Mathew Sermer; Bernard Zinman; Ravi Retnakaran
Journal:  Diabetologia       Date:  2015-03-12       Impact factor: 10.122

7.  Metabolic response to sodium-glucose cotransporter 2 inhibition in type 2 diabetic patients.

Authors:  Ele Ferrannini; Elza Muscelli; Silvia Frascerra; Simona Baldi; Andrea Mari; Tim Heise; Uli C Broedl; Hans-Juergen Woerle
Journal:  J Clin Invest       Date:  2014-01-27       Impact factor: 14.808

8.  We can change the natural history of type 2 diabetes.

Authors:  Lawrence S Phillips; Robert E Ratner; John B Buse; Steven E Kahn
Journal:  Diabetes Care       Date:  2014-10       Impact factor: 19.112

Review 9.  Post-transplant diabetes mellitus in patients with solid organ transplants.

Authors:  Trond Jenssen; Anders Hartmann
Journal:  Nat Rev Endocrinol       Date:  2019-03       Impact factor: 43.330

Review 10.  Review of methods for detecting glycemic disorders.

Authors:  Michael Bergman; Muhammad Abdul-Ghani; Ralph A DeFronzo; Melania Manco; Giorgio Sesti; Teresa Vanessa Fiorentino; Antonio Ceriello; Mary Rhee; Lawrence S Phillips; Stephanie Chung; Celeste Cravalho; Ram Jagannathan; Louis Monnier; Claude Colette; David Owens; Cristina Bianchi; Stefano Del Prato; Mariana P Monteiro; João Sérgio Neves; Jose Luiz Medina; Maria Paula Macedo; Rogério Tavares Ribeiro; João Filipe Raposo; Brenda Dorcely; Nouran Ibrahim; Martin Buysschaert
Journal:  Diabetes Res Clin Pract       Date:  2020-06-01       Impact factor: 5.602

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