Literature DB >> 21944265

Estimation of prehepatic insulin secretion: comparison between standardized C-peptide and insulin kinetic models.

Andrea Tura1, Giovanni Pacini, Alexandra Kautzky-Willer, Amalia Gastaldelli, Ralph A DeFronzo, Ele Ferrannini, Andrea Mari.   

Abstract

Our aim was to compare traditional C-peptide-based method and insulin-based method with standardized kinetic parameters in the estimation of prehepatic insulin secretion rate (ISR). One-hundred thirty-four subjects with varying degrees of glucose tolerance received an insulin-modified intravenous glucose tolerance test and a standard oral glucose tolerance test with measurement of plasma insulin and C-peptide. From the intravenous glucose tolerance test, we determined insulin kinetics parameters and selected standardized kinetic parameters based on mean values in a selected subgroup. We computed ISR from insulin concentration during the oral glucose tolerance test using these parameters and compared ISR with the standard C-peptide deconvolution approach. We then performed the same comparison in an independent data set (231 subjects). In the first data set, total ISRs from insulin and C-peptide were highly correlated (R(2) = 0.75, P < .0001), although on average different (103 ± 6 vs 108 ± 3 nmol, P < .001). Good correlation was also found in the second data set (R(2) = 0.54, P < .0001). The insulin method somewhat overestimated total ISR (85 ± 5 vs 67 ± 3 nmol, P = .002), in part because of differences in insulin assay. Similar results were obtained for fasting ISR. Despite the modest bias, the insulin and C-peptide methods were consistent in predicting differences between groups (eg, obese vs nonobese) and relationships with other physiological variables (eg, body mass index, insulin resistance). The insulin method estimated first-phase ISR peak similarly to the C-peptide method and better than the simple use of insulin concentration. The insulin-based ISR method compares favorably with the C-peptide approach. The method will be particularly useful in data sets lacking C-peptide to assess β-cell function through models requiring prehepatic secretion. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21944265     DOI: 10.1016/j.metabol.2011.08.001

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  5 in total

Review 1.  Insights into the physiology of C-peptide.

Authors:  D Vejrazkova; M Vankova; P Lukasova; J Vcelak; B Bendlova
Journal:  Physiol Res       Date:  2020-09-30       Impact factor: 1.881

2.  Human insulin dynamics in women: a physiologically based model.

Authors:  Michael Weiss; Andrea Tura; Alexandra Kautzky-Willer; Giovanni Pacini; David Z D'Argenio
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2015-11-25       Impact factor: 3.619

3.  Glucose Homeostasis, Pancreatic Endocrine Function, and Outcomes in Advanced Heart Failure.

Authors:  Vojtech Melenovsky; Jan Benes; Janka Franekova; Jan Kovar; Barry A Borlaug; Marketa Segetova; Andrea Tura; Tereza Pelikanova
Journal:  J Am Heart Assoc       Date:  2017-08-07       Impact factor: 5.501

Review 4.  Assessment of pancreatic β-cell function: review of methods and clinical applications.

Authors:  Eugenio Cersosimo; Carolina Solis-Herrera; Michael E Trautmann; Jaret Malloy; Curtis L Triplitt
Journal:  Curr Diabetes Rev       Date:  2014-01

5.  Insulin Secretion and Risk for Future Diabetes in Subjects with a Nonpositive Insulinogenic Index.

Authors:  Daisuke Aono; Rie Oka; Mitsuhiro Kometani; Yoshimichi Takeda; Shigehiro Karashima; Kenichi Yoshimura; Yoshiyu Takeda; Takashi Yoneda
Journal:  J Diabetes Res       Date:  2018-03-22       Impact factor: 4.011

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.