Peptide serum markers in islet autoantibody-positive children

Christine von Toerne, Michael Laimighofer, Peter Achenbach, Andreas Beyerlein, Tonia de las Heras Gala, Jan Krumsiek, Fabian J. Theis, Anette G. Ziegler, Stefanie M. Hauck

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Aims/hypothesis: We sought to identify minimal sets of serum peptide signatures as markers for islet autoimmunity and predictors of progression rates to clinical type 1 diabetes in a case–control study. Methods: A double cross-validation approach was applied to first prioritise peptides from a shotgun proteomic approach in 45 islet autoantibody-positive and -negative children from the BABYDIAB/BABYDIET birth cohorts. Targeted proteomics for 82 discriminating peptides were then applied to samples from another 140 children from these cohorts. Results: A total of 41 peptides (26 proteins) enriched for the functional category lipid metabolism were significantly different between islet autoantibody-positive and autoantibody-negative children. Two peptides (from apolipoprotein M and apolipoprotein C-IV) were sufficient to discriminate autoantibody-positive from autoantibody-negative children. Hepatocyte growth factor activator, complement factor H, ceruloplasmin and age predicted progression time to type 1 diabetes with a significant improvement compared with age alone. Conclusion/interpretation: Distinct peptide signatures indicate islet autoimmunity prior to the clinical manifestation of type 1 diabetes and enable refined staging of the presymptomatic disease period.

Original languageEnglish
Pages (from-to)287-295
Number of pages9
JournalDiabetologia
Volume60
Issue number2
DOIs
StatePublished - 1 Feb 2017

Keywords

  • Autoantibody-positive
  • Autoimmunity
  • BABYDIAB/BABYDIET
  • LC-MS/MS
  • Progression time
  • Risk score
  • Selected reaction monitoring
  • Targeted proteomic
  • Type 1 diabetes

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