Peptide serum markers in islet autoantibody-positive children
- PMID: 27815605
- DOI: 10.1007/s00125-016-4150-x
Peptide serum markers in islet autoantibody-positive children
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.
Keywords: Autoantibody-positive; Autoimmunity; BABYDIAB/BABYDIET; LC-MS/MS; Progression time; Risk score; Selected reaction monitoring; Targeted proteomic; Type 1 diabetes.
Similar articles
-
A novel approach for the analysis of longitudinal profiles reveals delayed progression to type 1 diabetes in a subgroup of multiple-islet-autoantibody-positive children.Diabetologia. 2016 Oct;59(10):2172-80. doi: 10.1007/s00125-016-4050-0. Epub 2016 Jul 11. Diabetologia. 2016. PMID: 27400691
-
A strategy to find gene combinations that identify children who progress rapidly to type 1 diabetes after islet autoantibody seroconversion.Acta Diabetol. 2014;51(3):403-11. doi: 10.1007/s00592-013-0526-2. Epub 2013 Nov 19. Acta Diabetol. 2014. PMID: 24249616
-
Age- and islet autoimmunity-associated differences in amino acid and lipid metabolites in children at risk for type 1 diabetes.Diabetes. 2011 Nov;60(11):2740-7. doi: 10.2337/db10-1652. Diabetes. 2011. PMID: 22025777 Free PMC article.
-
Genetic risk factors for type 1 diabetes.Lancet. 2016 Jun 4;387(10035):2331-2339. doi: 10.1016/S0140-6736(16)30582-7. Lancet. 2016. PMID: 27302272 Review.
-
Staging presymptomatic type 1 diabetes: a scientific statement of JDRF, the Endocrine Society, and the American Diabetes Association.Diabetes Care. 2015 Oct;38(10):1964-74. doi: 10.2337/dc15-1419. Diabetes Care. 2015. PMID: 26404926 Free PMC article. Review.
Cited by
-
Decrease in multiple complement proteins associated with development of islet autoimmunity and type 1 diabetes.iScience. 2023 Dec 20;27(2):108769. doi: 10.1016/j.isci.2023.108769. eCollection 2024 Feb 16. iScience. 2023. PMID: 38303689 Free PMC article.
-
Pathological mechanisms of type 1 diabetes in children: investigation of the exosomal protein expression profile.Front Endocrinol (Lausanne). 2023 Oct 11;14:1271929. doi: 10.3389/fendo.2023.1271929. eCollection 2023. Front Endocrinol (Lausanne). 2023. PMID: 37886648 Free PMC article.
-
Serum APOC1 levels are decreased in young autoantibody positive children who rapidly progress to type 1 diabetes.Sci Rep. 2023 Sep 24;13(1):15941. doi: 10.1038/s41598-023-43039-4. Sci Rep. 2023. PMID: 37743383 Free PMC article.
-
Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response.Clin Proteomics. 2023 Sep 21;20(1):38. doi: 10.1186/s12014-023-09429-6. Clin Proteomics. 2023. PMID: 37735622 Free PMC article. Review.
-
Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory.Diabetologia. 2023 Nov;66(11):1983-1996. doi: 10.1007/s00125-023-05974-9. Epub 2023 Aug 4. Diabetologia. 2023. PMID: 37537394 Free PMC article.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical