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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Peptide serum markers in islet autoantibody-positive children.
Diabetologia 60, 287-295 (2017)
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
6.080
1.732
1
12
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Autoantibody-positive; Autoimmunity; BABYDIAB/BABYDIET; LC-MS/MS; Progression time; Risk score; Selected reaction monitoring; Targeted proteomic; Type 1 diabetes
Sprache
Veröffentlichungsjahr
2017
Prepublished im Jahr
2016
HGF-Berichtsjahr
2016
ISSN (print) / ISBN
0012-186X
e-ISSN
1432-0428
Zeitschrift
Diabetologia
Quellenangaben
Band: 60,
Heft: 2,
Seiten: 287-295
Verlag
Springer
Verlagsort
Berlin ; Heidelberg [u.a.]
Begutachtungsstatus
Peer reviewed
Institut(e)
CF Metabolomics & Proteomics (CF-MPC)
Institute of Computational Biology (ICB)
Institute of Diabetes Research (IDF)
Institute of Epidemiology (EPI)
Institute of Computational Biology (ICB)
Institute of Diabetes Research (IDF)
Institute of Epidemiology (EPI)
POF Topic(s)
30203 - Molecular Targets and Therapies
30205 - Bioengineering and Digital Health
30201 - Metabolic Health
30202 - Environmental Health
90000 - German Center for Diabetes Research
30205 - Bioengineering and Digital Health
30201 - Metabolic Health
30202 - Environmental Health
90000 - German Center for Diabetes Research
Forschungsfeld(er)
Enabling and Novel Technologies
Helmholtz Diabetes Center
Genetics and Epidemiology
Helmholtz Diabetes Center
Genetics and Epidemiology
PSP-Element(e)
G-505700-001
G-554100-001
G-502100-001
G-504000-002
G-503800-001
G-501900-401
G-554100-001
G-502100-001
G-504000-002
G-503800-001
G-501900-401
Erfassungsdatum
2016-11-07