Literature DB >> 1551497

Estimation of insulin secretion rates from C-peptide levels. Comparison of individual and standard kinetic parameters for C-peptide clearance.

E Van Cauter1, F Mestrez, J Sturis, K S Polonsky.   

Abstract

Insulin secretion rates can be accurately estimated from plasma C-peptide levels with a two-compartment model for C-peptide distribution and degradation. In previous studies, the kinetic parameters of C-peptide clearance were derived in each subject from the decay curve observed after bolus intravenous injection of biosynthetic human C-peptide. To determine whether standard parameters for C-peptide clearance could be defined and used to calculate insulin secretion without obtaining a decay curve in each subject, we analyzed 200 decay curves of biosynthetic human C-peptide obtained in normal, obese, and non-insulin-dependent diabetes mellitus subjects studied in our laboratory. This analysis showed that the volume of distribution and kinetic parameters of C-peptide distribution and metabolism vary by less than 30% in a population highly heterogeneous in terms of age, sex, degree of obesity, and degree of glucose tolerance. The volume of distribution correlated with the degree of obesity as quantified by body surface area (BSA). This dependence of C-peptide distribution volume on BSA was more marked in men than in women. The long half-life was slightly longer in elderly subjects than in younger adults. When effects of BSA, sex, and age were taken into account, the parameters of C-peptide kinetics were very similar in normal, obese, and diabetic subjects. Based on these findings, a simple procedure to derive standard parameters for C-peptide clearance taking into account degree of obesity, sex, and age was defined. These standard parameters resulted in estimations of mean insulin secretion rates, which differed in each subject by only 10-12% from those obtained with individual parameters. The approach of using standard rather than individual parameters did not systematically underestimate or overestimate insulin secretion so that group values for the fasting secretion rate, the mean 24-h secretion rate, and the number and the amplitude of secretory pulses obtained with standard parameters differed by only 1-2% from the values obtained with individual parameters. Furthermore, the accuracy of measurements based on standard parameters was not different from that associated with replicate determinations of the parameters of C-peptide clearance in the same subject. We conclude that it is possible to estimate insulin secretion rates from plasma C-peptide levels with standard parameters for C-peptide clearance rather than individually derived parameters without significant loss of accuracy.

Entities:  

Mesh:

Substances:

Year:  1992        PMID: 1551497     DOI: 10.2337/diab.41.3.368

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  287 in total

1.  Metformin-induced glucagon-like peptide-1 secretion contributes to the actions of metformin in type 2 diabetes.

Authors:  Emilie Bahne; Emily W L Sun; Richard L Young; Morten Hansen; David P Sonne; Jakob S Hansen; Ulrich Rohde; Alice P Liou; Margaret L Jackson; Dayan de Fontgalland; Philippa Rabbitt; Paul Hollington; Luigi Sposato; Steven Due; David A Wattchow; Jens F Rehfeld; Jens J Holst; Damien J Keating; Tina Vilsbøll; Filip K Knop
Journal:  JCI Insight       Date:  2018-12-06

2.  A spectrum of dynamic insulin sensitivity test protocols.

Authors:  Paul D Docherty; J Geoffrey Chase; Lisa Te Morenga; Thomas F Lotz; Juliet E Berkeley; Geoffrey M Shaw; Kirsten A McAuley; Jim I Mann
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

3.  Bayesian functional integral method for inferring continuous data from discrete measurements.

Authors:  William J Heuett; Bernard V Miller; Susan B Racette; John O Holloszy; Carson C Chow; Vipul Periwal
Journal:  Biophys J       Date:  2012-02-07       Impact factor: 4.033

4.  Visual Predictive Check in Models with Time-Varying Input Function.

Authors:  Anna Largajolli; Alessandra Bertoldo; Marco Campioni; Claudio Cobelli
Journal:  AAPS J       Date:  2015-08-12       Impact factor: 4.009

5.  Pancreatic beta cell function following liraglutide-augmented weight loss in individuals with prediabetes: analysis of a randomised, placebo-controlled study.

Authors:  Sun H Kim; Alice Liu; Danit Ariel; Fahim Abbasi; Cindy Lamendola; Kaylene Grove; Vanessa Tomasso; Gerald Reaven
Journal:  Diabetologia       Date:  2013-12-11       Impact factor: 10.122

6.  Performance of individually measured vs population-based C-peptide kinetics to assess β-cell function in the presence and absence of acute insulin resistance.

Authors:  Ron T Varghese; Chiara Dalla Man; Marcello C Laurenti; Francesca Piccinini; Anu Sharma; Meera Shah; Kent R Bailey; Robert A Rizza; Claudio Cobelli; Adrian Vella
Journal:  Diabetes Obes Metab       Date:  2017-09-27       Impact factor: 6.577

7.  24-hour glucose profiles during continuous or oscillatory insulin infusion. Demonstration of the functional significance of ultradian insulin oscillations.

Authors:  J Sturis; A J Scheen; R Leproult; K S Polonsky; E van Cauter
Journal:  J Clin Invest       Date:  1995-04       Impact factor: 14.808

8.  Determinants of glucose tolerance in impaired glucose tolerance at baseline in the Actos Now for Prevention of Diabetes (ACT NOW) study.

Authors:  R A DeFronzo; M A Banerji; G A Bray; T A Buchanan; S Clement; R R Henry; A E Kitabchi; S Mudaliar; N Musi; R Ratner; P Reaven; D C Schwenke; F D Stentz; D Tripathy
Journal:  Diabetologia       Date:  2009-12-10       Impact factor: 10.122

9.  Predictive performance for population models using stochastic differential equations applied on data from an oral glucose tolerance test.

Authors:  Jonas B Møller; Rune V Overgaard; Henrik Madsen; Torben Hansen; Oluf Pedersen; Steen H Ingwersen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-12-16       Impact factor: 2.745

10.  Twenty-four hour insulin secretion and beta cell NEFA oxidation in type 2 diabetic, morbidly obese patients before and after bariatric surgery.

Authors:  S Salinari; A Bertuzzi; A Iaconelli; M Manco; G Mingrone
Journal:  Diabetologia       Date:  2008-05-06       Impact factor: 10.122

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.