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.

Åke Lernmark

Principal investigator

Default user image.

Serum metabolite signature predicts the acute onset of diabetes in spontaneously diabetic congenic BB rats

Author

  • Lina Åkesson
  • Johan Trygg
  • Jessica Fuller
  • Rasmus Madsen
  • Jon Gabrielsson
  • Stephen Bruce
  • Hans Stenlund
  • Terry Tupling
  • Ranae Pefley
  • Torbjorn Lundstedt
  • Åke Lernmark
  • Thomas Moritz

Summary, in English

The clinical presentation of type 1 diabetes is preceded by a prodrome of beta cell autoimmunity. We probed the short period of subtle metabolic abnormalities, which precede the acute onset of diabetes in the spontaneously diabetic BB rat, by analyzing the serum metabolite profile detected with combined gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/mass spectrometry (LC/MS). We found that the metabolite pattern prior to diabetes included 17 metabolites, which differed between individual diabetes prone (DP) BB rats and their age and sex matched diabetes resistant (DR) littermates. As the metabolite signature at the 40 days of age baseline failed to distinguish DP from DR, there was a brief 10-day period after which the diabetes prediction pattern was observed, that includes fatty acids (e.g. oleamide), phospholipids (e.g. phosphocholines) and amino acids (e.g. isoleucine). It is concluded that distinct changes in the serum metabolite pattern predict type 1 diabetes and precede the appearance of insulitis in spontaneously diabetic BB DP rats. This observation should prove useful to dissect mechanisms of type 1 diabetes.

Department/s

  • Diabetes and Celiac Unit
  • EXODIAB: Excellence in Diabetes Research in Sweden

Publishing year

2011

Language

English

Pages

593-603

Publication/Series

Metabolomics

Volume

7

Issue

4

Document type

Journal article

Publisher

Springer

Topic

  • Endocrinology and Diabetes

Keywords

  • Type 1 diabetes
  • Metabolomics
  • OPLS-DA
  • Dynamic modeling

Status

Published

Research group

  • Diabetes and Celiac Unit

ISBN/ISSN/Other

  • ISSN: 1573-3882