Titre du document / Document title

Evaluation of a type 1 diabetes serum cohort by SELDI-TOF MS protein profiling

Auteur(s) / Author(s)

ALBRETHSEN Jakob ⁽¹⁾ ; KAAS Anne ⁽¹⁾ ; SCHÖNLE Eugen ⁽²⁾ ; SWIFT Peter ⁽³⁾ ; KOCOVA Mirjana ⁽⁴⁾ ; GAMMELTOFT Steen ⁽¹⁾ ; HANSEN Lars ⁽⁵⁾ ; MORTENSEN Henrik Bindesbol ⁽¹⁾ ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

⁽¹⁾ Glostrup University Hospital, Glostrup, DANEMARK
⁽²⁾ University Children's Hospital, Zurich, SUISSE
⁽³⁾ Leicester Royal Infirmary, Leicester, ROYAUME-UNI
⁽⁴⁾ Pediatric Clinic, Skopje, MACEDOINE, L'EX-REPUBLIQUE YOUGOSLAVE DE
⁽⁵⁾ Development Projects, Novo Nordisk A/S, MÅlev, DANEMARK

Résumé / Abstract

Proteomics analysis of serum from patients with type 1 diabetes (T1D) may lead to novel biomarkers for prediction of disease and for patient monitoring. However, the serum proteome is highly sensitive to sample processing and before proteomics biomarker research serum cohorts should preferably be examined for potential bias between sample groups.SELDI-TOF MS protein profiling was used for preliminary evaluation of a biological-bank with 766 serum samples from 270 patients with T1D, collected at 18 different paediatric centers representing 15 countries in Europe and Japan over 2 years (2000-2002). Samples collected 1 (n = 270), 6 (n = 248), and 12 (n = 248) months after T1D diagnosis were grouped across centers and compared.The serum protein profiles varied with collection site and day of analysis; however, markers of sample processing were not systematically different between samples collected at different times after diagnosis. Three members of the apolipoprotein family increased with time in patient serum collected 1, 6, and 12 months after diagnosis (ANOVA, p<0.001).These results support the use of this serum cohort for further proteomic studies and illustrate the potential of high-throughput MALDI/SELDI-TOF MS protein profiling for evaluation of serum cohorts before proteomics biomarker research.

Revue / Journal Title

Proteomics. Clinical applications   ISSN 1862-8346 

Source / Source

2009, vol. 3, n^o3, pp. 383-393 [11 page(s) (article)] (41 ref.)

Langue / Language

Anglais

Editeur / Publisher

Wiley, Weinheim, ALLEMAGNE  (2006) (Revue)

Mots-clés anglais / English Keywords

Type 1 diabetes ; Proteomics ; Protein ; Mass spectrometry ; Serum ; Evaluation ;

Mots-clés français / French Keywords

Diabète de type 1 ; Protéomique ; Protéine ; Spectrométrie masse ; Sérum ; Evaluation ;

Mots-clés espagnols / Spanish Keywords

Diabetes de tipo 1 ; Proteómica ; Proteína ; Espectrometría masa ; Suero ; Evaluación ;

Mots-clés d'auteur / Author Keywords

Diabetes ; Evaluation ; SELDI ; Serum ;

Localisation / Location

INIST-CNRS, Cote INIST : 27873, 35400019612812.0090