Assessment of pulsatile insulin secretion derived from peripheral plasma C-peptide concentrations by nonparametric stochastic deconvolution.

American Journal of Physiology. Endocrinology and Metabolism
Marcello C LaurentiChiara Dalla Man

Abstract

The characteristics of pulsatile insulin secretion are important determinants of type 2 diabetes pathophysiology, but they are understudied due to the difficulties in measuring pulsatile insulin secretion noninvasively. Deconvolution of either peripheral C-peptide or insulin concentrations offers an appealing alternative to hepatic vein catheterization. However, to do so, there are a series of methodological challenges to overcome. C-peptide has a relatively long half-life and accumulates in the circulation. On the other hand, peripheral insulin concentrations reflect relatively fast clearance and hepatic extraction as it leaves the portal circulation to enter the systemic circulation. We propose a method based on nonparametric stochastic deconvolution of C-peptide concentrations, using individually determined C-peptide kinetics, to overcome these limitations. The use of C-peptide (instead of insulin) concentrations allows estimation of portal (and not post-hepatic) insulin pulses, whereas nonparametric stochastic deconvolution allows evaluation of pulsatile signals without any a priori assumptions of pulse shape and occurrence. The only assumption required is the degree of smoothness of the (unknown) secretion rate. We tested ...Continue Reading

References

Nov 8, 1979·The New England Journal of Medicine·D A LangR C Turner
Jul 1, 1978·The Journal of Clinical Investigation·O K FaberN Rossing
Jun 1, 1975·The Journal of Clinical Investigation·D L HorwitzA H Rubenstein
Jan 1, 1992·Methods in Enzymology·J D Veldhuis, M L Johnson
May 1, 1987·Diabetic Medicine : a Journal of the British Diabetic Association·P R Bratusch-MarrainW Waldhäusl
May 12, 1988·The New England Journal of Medicine·S O'RahillyD R Matthews
Sep 1, 1983·The Journal of Clinical Investigation·K PolonskyA H Rubenstein
Sep 1, 1980·The Journal of Clinical Endocrinology and Metabolism·R P EatonJ Standefer
May 1, 1996·IEEE Transactions on Bio-medical Engineering·G Sparacino, C Cobelli
Oct 30, 1998·Endocrine Reviews·W C DuckworthF G Hamel
Jan 30, 2002·Diabetes·Niels PørksenOle Schmitz
Jul 22, 2005·The New England Journal of Medicine·Geoffrey J ServiceRicardo V Lloyd
Jun 13, 2012·Diabetes·Aleksey V MatveyenkoPeter C Butler
Mar 22, 2014·Diabetes·Claudio CobelliRobert Rizza
Nov 4, 2015·Diabetes·Meera ShahAdrian Vella

❮ Previous
Next ❯

Citations

Feb 20, 2021·The Journal of Clinical Endocrinology and Metabolism·Marcello C LaurentiAdrian Vella
Jul 3, 2021·Metabolites·Marcello C LaurentiAdrian Vella

❮ Previous
Next ❯

Methods Mentioned

BETA
X-ray
Assay

Software Mentioned

MATALB

Related Concepts

Related Feeds

Biomarkers for Type 2 Diabetes

Biomarkers can help understand chronic diseases and assist in risk prediction for prevention and early detection of diseases. Here is the latest research on biomarkers in type 2 diabetes, a disease in which the body is unable to produce or properly use insulin.