Browse by author
Lookup NU author(s): Dr Mattia Calissano, Professor Hanns Lochmuller, Professor Annemieke Aartsma-Rus
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Purpose: Duchenne muscular dystrophy (DMD) is a severe and fatal neuromuscular disease. With the current developments on novel therapeutic strategies for DMD, the need to carefully monitor disease progression or regression upon treatment using molecular markers has become urgent.Experimental design: 2D LC protein fractionation was performed on patient serum samples, followed by LC-MS/MS-based identifications with label-free quantifications.Results: Protein signatures were compared between patients and healthy (child and adult) controls and between ambulant and nonambulant patients. Various myofibrillar proteins demonstrated differences between DMD patients and controls, likely due to leakiness and breakdown of muscle fibers. Previously reported biomarkers, such as muscle-derived titin, myosin, and carbonic anhydrase I (CA1), were verified. MS-based results were compared with ELISA for vitamin D binding protein (GC), fibulin-1 (FBLN1), gelsolin (GSN), and carbonic anhydrase 1 (CA1).Conclusions and clinical relevance: The combined results of MS-and ELISA-based quantifications indicated more studies are needed to validate this serum protein signature for DMD patients. With these data promising candidate biomarkers have been identified for a rare genetic disease using serum proteome analysis.
Author(s): Oonk S, Spitali P, Hiller M, Switzar L, Dalebout H, Calissano M, Lochmuller H, Aartsma-Rus A, 't Hoen PAC, van der Burgt YEM
Publication type: Article
Publication status: Published
Journal: Proteomics - Clinical Applications
Year: 2016
Volume: 10
Issue: 3
Pages: 290-299
Print publication date: 01/03/2016
Online publication date: 08/01/2016
Acceptance date: 10/12/2015
ISSN (print): 1862-8346
ISSN (electronic): 1862-8354
Publisher: Wiley - VCH Verlag GmbH & Co. KGaA
URL: http://dx.doi.org/10.1002/prca.201500044
DOI: 10.1002/prca.201500044
Altmetrics provided by Altmetric
