Literature DB >> 18834435

Beta-cell function assessment from modelling of oral tests: an effective approach.

A Mari1, E Ferrannini.   

Abstract

The quantitative study of beta-cell function has relied on mathematical models for almost 40 years. During the last decades, the initial elaborate models have been simplified with the aim of obtaining mathematical methods suitable for the assessment of beta-cell function in an individual from an intravenous test. In more recent times, modelling methods have been proposed for analysing oral glucose tolerance tests or meal tests. In this review, we describe these methods with particular emphasis on an approach we have developed. We discuss the relevance of potentiation of insulin secretion in an oral glucose test, which our model has reintroduced after the historical models. We provide evidence on the validity of the method and illustrate significant applications. We emphasize the importance of quantifying beta-cell function through multiple indices and highlight how our approach has provided new insight on the relationships between beta-cell function and insulin sensitivity and on the role of beta-cell function in glucose intolerance and diabetes.

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Year:  2008        PMID: 18834435     DOI: 10.1111/j.1463-1326.2008.00946.x

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  40 in total

1.  Altered pattern of the incretin effect as assessed by modelling in individuals with glucose tolerance ranging from normal to diabetic.

Authors:  Andrea Tura; Elza Muscelli; Amalia Gastaldelli; Ele Ferrannini; Andrea Mari
Journal:  Diabetologia       Date:  2014-06       Impact factor: 10.122

2.  Identification, pathophysiology, and clinical implications of primary insulin hypersecretion in nondiabetic adults and adolescents.

Authors:  Domenico Tricò; Andrea Natali; Silva Arslanian; Andrea Mari; Ele Ferrannini
Journal:  JCI Insight       Date:  2018-12-20

3.  Influence of endogenous NEFA on beta cell function in humans.

Authors:  Eleni Rebelos; Marta Seghieri; Andrea Natali; Beverly Balkau; Alain Golay; Pier Marco Piatti; Nebojsa M Lalic; Markku Laakso; Andrea Mari; Ele Ferrannini
Journal:  Diabetologia       Date:  2015-07-10       Impact factor: 10.122

4.  Intrahepatic fat, irrespective of ethnicity, is associated with reduced endogenous insulin clearance and hepatic insulin resistance in obese youths: A cross-sectional and longitudinal study from the Yale Pediatric NAFLD cohort.

Authors:  Domenico Tricò; Alfonso Galderisi; Andrea Mari; David Polidori; Brittany Galuppo; Bridget Pierpont; Stephanie Samuels; Nicola Santoro; Sonia Caprio
Journal:  Diabetes Obes Metab       Date:  2020-05-31       Impact factor: 6.577

5.  Type 2 diabetes: one disease, many pathways.

Authors:  Joon Ha; Arthur Sherman
Journal:  Am J Physiol Endocrinol Metab       Date:  2020-07-14       Impact factor: 4.310

6.  β-cells in youth with impaired glucose tolerance or early type 2 diabetes secrete more insulin and are more responsive than in adults.

Authors:  Kristina M Utzschneider; Mark T Tripputi; Alexandra Kozedub; Kieren J Mather; Kristen J Nadeau; Sharon L Edelstein; Tamara S Hannon; Silva A Arslanian; Melanie Cree-Green; Thomas A Buchanan; Sonia Caprio; Andrea Mari
Journal:  Pediatr Diabetes       Date:  2020-10-14       Impact factor: 4.866

Review 7.  Lessons from models of pancreatic beta cells for engineering glucose-sensing cells.

Authors:  Arthur Sherman
Journal:  Math Biosci       Date:  2010-05-24       Impact factor: 2.144

8.  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

9.  One-hour plasma glucose identifies insulin resistance and beta-cell dysfunction in individuals with normal glucose tolerance: cross-sectional data from the Relationship between Insulin Sensitivity and Cardiovascular Risk (RISC) study.

Authors:  Melania Manco; Simona Panunzi; David P Macfarlane; Alain Golay; Olle Melander; Thomas Konrad; John R Petrie; Geltrude Mingrone
Journal:  Diabetes Care       Date:  2010-09       Impact factor: 19.112

10.  Mechanisms through which a small protein and lipid preload improves glucose tolerance.

Authors:  Domenico Tricò; Simona Baldi; Alberto Tulipani; Silvia Frascerra; Maria Paula Macedo; Andrea Mari; Ele Ferrannini; Andrea Natali
Journal:  Diabetologia       Date:  2015-07-30       Impact factor: 10.122

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