Proteomics

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Serum APOC1 levels are decreased in seroconverted children who progress to type 1 diabetes at a young age


ABSTRACT: Biomarkers are needed to accurately predict and monitor type 1 diabetes progression during the substantially heterogeneous presymptomatic period of the disease development. To address this concern, we studied temporal changes in the plasma and serum proteomes of < 5-year-old children with HLA-conferred risk for type 1 diabetes by analysing longitudinal sample series that were collected at regular intervals between birth and diagnosis. Using mass spectrometry-based discovery proteomics, longitudinal plasma sample series from multiple autoantibody positive children who had rapidly progressed to type 1 diabetes before 4 years of age were analysed and compared with similar measurements from age and gender matched children who were either single autoantibody positive or autoantibody negative. Following analysis of the data with an additive Gaussian process regression model (LonGP), targeted proteomics was used to verify 11 biomarker candidates in a larger independent yet similar cohort of children with more frequent sampling points. The data reiterated extensive age related trends for protein levels in young children. Further, by combining the utility of LonGP together with the targeted analysis in an extended cohort, these analyses demonstrated that the serum levels of two peptides unique for apolipoprotein C1 (APOC1) were decreased after the appearance of the first autoantibody and remained relatively less abundant in children who progressed to type 1 diabetes in comparison to autoantibody negative children.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Type 1 Diabetes Mellitus

SUBMITTER: Maria Karoliina Hirvonen  

LAB HEAD: Riitta Lahesmaa

PROVIDER: PXD033744 | Pride | 2023-09-26

REPOSITORIES: pride

Dataset's files

Source:
Action DRS
151005StenoDIPP_15E.raw Raw
151005StenoDIPP_15G.raw Raw
151005StenoDIPP_15H.raw Raw
151005StenoDIPP_15L.raw Raw
151006StenoDIPP_15A.raw Raw
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Publications


Better understanding of the early events in the development of type 1 diabetes is needed to improve prediction and monitoring of the disease progression during the substantially heterogeneous presymptomatic period of the beta cell damaging process. To address this concern, we used mass spectrometry-based proteomics to analyse longitudinal pre-onset plasma sample series from children positive for multiple islet autoantibodies who had rapidly progressed to type 1 diabetes before 4 years of age (n   ...[more]

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