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 language | English |
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Pages (from-to) | 287-295 |
Number of pages | 9 |
Journal | Diabetologia |
Volume | 60 |
Issue number | 2 |
DOIs | |
State | Published - 1 Feb 2017 |
Keywords
- Autoantibody-positive
- Autoimmunity
- BABYDIAB/BABYDIET
- LC-MS/MS
- Progression time
- Risk score
- Selected reaction monitoring
- Targeted proteomic
- Type 1 diabetes