Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52009
Título: Screening newborns for candidate biomarkers of type 1 diabetes
Autores/as: McGuire, James N.
Eising, Stephanie
Wägner, Ana M. 
Pociot, Flemming
Clasificación UNESCO: 32 Ciencias médicas
2302 Bioquímica
Palabras clave: Biomarkers
Diabetes
Newborns
Haemoglobin
Depletion
Fecha de publicación: 2010
Publicación seriada: Archives of Physiology and Biochemistry 
Resumen: 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.
URI: http://hdl.handle.net/10553/52009
ISSN: 1381-3455
DOI: 10.3109/13813455.2010.501801
Fuente: Archives of Physiology and Biochemistry[ISSN 1381-3455],v. 116(4-5), p. 227-232
Colección:Artículos
Vista completa

Citas SCOPUSTM   

7
actualizado el 24-mar-2024

Visitas

37
actualizado el 16-sep-2023

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.