The study group were able to identify 41 peptides from 26 proteins that distinguish children with autoantibodies from those without, reports Dr. Christine von Toerne, a scientist in the Research Unit Protein Science who shared first authorship of the work with Michael Laimighofer, a doctoral candidate in Jan Krumsiek's junior research group at the Institute of Computational Biology. Striking in their evaluations: A large number of these proteins are associated with lipid metabolism. Two peptides - from the proteins apolipoprotein M and apolipoprotein C-IV - were particularly conspicuous and were especially differently expressed in the two groups, von Toerne adds. In autoantibody-positive children, it was furthermore possible to reach a better estimate of the speed of the diabetes development using the peptide concentrations of three proteins (hepatocyte growth factor activator, complement factor H and ceruloplasmin) in combination with the age of the particular child.
The biomarkers that they have identified allow a more precise classification of this presymptomatic stage and they are relatively simple to acquire from blood samples
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press information – Helmholtz Zentrum München
Source: Helmholz Zentrum München
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