Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Carina Törn

Coordinator

Default user image.

C-peptide in dried blood spots.

Author

  • Jesper Johansson
  • Charlotte Becker
  • Nils Persson
  • Malin Fex
  • Carina Törn

Summary, in English

Abstract The aim was to evaluate if the Dried Blood Spot (DBS)-technique can be used to analyse C-peptide. S-C-peptide and paired whole blood clotted on filters, dried, punched out and eluted were sampled from 198 healthy subjects. Six subjects with S-C-peptide values outside the reference range were excluded. A conversion formula using log-DBS-C-peptide was generated in a subset of 156 ( approximately 80%) subjects with predictions made using also storage time (eluates) and age of subjects: (log S-C-peptide = 1.696 + 1.367 log DBS-C-peptide + 0.058 (storage time/month) + 0.014 (age/10 years). This formula was cross validated into the original population. Using Bland-Altman plots, mean difference between converted log DBS-C-peptide and log S-C-peptide at baseline was 0 and limits of agreements were -0.18 to +0.18. Mean difference between converted log DBS-C-peptide values after six months and log S-C-peptide value from baseline was -0.01 and limits of agreement were -0.20-0.19. The lowest value detected with the DBS-technique corresponded to serum C-peptide 0.44 nmol/L. We concluded that DBS-C-peptide can be used as a first line screening test to monitor normal beta cell function. C-peptide on filters remained stable for six months.

Department/s

  • Clinical Chemistry, Malmö
  • Diabetes and Celiac Unit
  • EXODIAB: Excellence of Diabetes Research in Sweden

Publishing year

2010

Language

English

Pages

404-409

Publication/Series

Scandinavian Journal of Clinical and Laboratory Investigation

Volume

70

Document type

Journal article

Publisher

Informa Healthcare

Topic

  • Medicinal Chemistry
  • Endocrinology and Diabetes

Status

Published

Research group

  • Clinical Chemistry, Malmö
  • Diabetes and Celiac Unit

ISBN/ISSN/Other

  • ISSN: 1502-7686