|Title:||Screening newborns for candidate biomarkers of type 1 diabetes||Authors:||McGuire, James N.
Wägner, Ana M.
|Issue Date:||2010||Publisher:||1381-3455||Journal:||Archives of Physiology and Biochemistry||Abstract:||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. © 2010 Informa UK, Ltd.||URI:||http://hdl.handle.net/10553/52009||ISSN:||1381-3455||DOI:||10.3109/13813455.2010.501801||Source:||Archives of Physiology and Biochemistry[ISSN 1381-3455],v. 116, p. 227-232|
|Appears in Collections:||Artículos|
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