AUT LibraryAUT
View Item 
  •   Open Research
  • AUT Faculties
  • Faculty of Health and Environmental Sciences
  • School of Interprofessional Health Studies
  • View Item
  •   Open Research
  • AUT Faculties
  • Faculty of Health and Environmental Sciences
  • School of Interprofessional Health Studies
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Can the Molar Insulin: C-Peptide Ratio Be Used to Predict Hyperinsulinaemia?

Guildford, L; Crofts, C; Lu, J
Thumbnail
View/Open
Journal article (417.9Kb)
Permanent link
http://hdl.handle.net/10292/13456
Metadata
Show full metadata
Abstract
Hyperinsulinaemia is the precursor to numerous metabolic disorders. Early diagnosis and intervention could improve population health. Diagnosing hyperinsulinaemia is problematic because insulin has a very short half-life (2-5minutes). It is theorised that c-peptide levels (half-life 20-30minutes) would be a better proxy for insulin due to both hormones being released in equimolar amounts. However, the correlation between c-peptide and insulin levels is unknown. We aim to identify their correlation following a four-hour oral glucose tolerance test (OGTT). Data were obtained from records of routine medical care at St Joseph's Hospital, Chicago, IL, USA, during 1977. Two hundred and fifty-five male and female participants aged over 20 years undertook a fourhour OGTT with plasma glucose, insulin and c-peptide levels recorded. Correlation was assessed with Pearson's correlation. There was a weak correlation between insulin and c-peptide, which increased to moderate across the four-hour OGTT (r = 0.482-0.680). There was no significant change in this relationship when data was subdivided according to either the WHO glucose status or Kraft insulin response. Although there was a correlation between insulin and c-peptide, it was too weak to recommend the use of c-peptide as an alternative biomarker for the diagnosis of hyperinsulinaemia.
Keywords
C-Peptide; Correlation; Hyperinsulinaemia; Insulin; Oral glucose tolerance test; Prediction
Date
2020
Source
Biomedicines, 8(5), 108. doi:10.3390/biomedicines8050108
Item Type
Journal Article
Publisher
MDPI
DOI
10.3390/biomedicines8050108
Publisher's Version
https://www.mdpi.com/2227-9059/8/5/108
Rights Statement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Contact Us
  • Admin

Hosted by Tuwhera, an initiative of the Auckland University of Technology Library

 

 

Browse

Open ResearchTitlesAuthorsDateSchool of Interprofessional Health StudiesTitlesAuthorsDate

Alternative metrics

 

Statistics

For this itemFor all Open Research

Share

 
Follow @AUT_SC

Contact Us
  • Admin

Hosted by Tuwhera, an initiative of the Auckland University of Technology Library