Screening newborns for candidate biomarkers of type 1 diabetes.
Combining samples from a national neonatal screening programme with the information from a national health registry allow for unique opportunities in analysing newborn blood for protein changes that could predict eventual disease development. A nested case-control cohort (n = 54 cases, 108 controls) was analysed by proteomics as a new way of looking for biomarkers that could bolster prediction of T1D risk in newborns. Protein extraction and haemoglobin depletion were automated and samples were processed and analysed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). The data set was reduced to the highest quality peaks and analysed using conditional logistic regression. A total of 25 protein peaks were found to differ between the two groups. The automated haemoglobin depletion provides a platform for further proteomics studies of individual patient material. The method opens a door to a wealth of patient material stored as dried blood spots.
McGuire
James N
JN
Steno Diabetes Center, Niels Steensens Vej 1, 2820 Gentofte, Denmark. jmc@hagedorn.dk
Eising
Stephanie
S
Wägner
Ana M
AM
Pociot
Flemming
F
D001331:Automation; D018070:Biological Specimen Banks; D015415:Biomarkers / Q000032:analysis* / Q000737:chemistry*; D001798:Blood Proteins / Q000032:analysis / Q000737:chemistry; D016022:Case-Control Studies; D003922:Diabetes Mellitus, Type 1 / Q000097:blood / Q000175:diagnosis; D006454:Hemoglobins / Q000737:chemistry; D006801:Humans; D007231:Infant, Newborn; D015997:Neonatal Screening / Q000379:methods; D011237:Predictive Value of Tests; D040081:Protein Array Analysis / Q000379:methods / Q000592:standards; D040901:Proteomics / Q000295:instrumentation / Q000379:methods*; D015203:Reproducibility of Results; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*
D015415:Biomarkers; D001798:Blood Proteins; D006454:Hemoglobins