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P1–233: Further exploration of plasma biomarkers for Alzheimer's disease using isotopic tandem mass tags and a combined targeted/nontargeted LC/MS/MS method
Author(s) -
Lößner Christopher,
Jung Stephan,
Lahert Emma,
Pike Ian,
Ward Malcolm
Publication year - 2013
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2013.05.457
Subject(s) - biomarker , orbitrap , chromatography , chemistry , tandem mass spectrometry , biomarker discovery , mass spectrometry , proteomics , computational biology , biochemistry , biology , gene
which were combined with the PD and DS samples. Support Vector Machine analysiswas utilized to classify the 4 diagnostic groups using their overall biomarker profiles. The biomarker profiles yielded 100% accuracy in classifying all 4 diagnostic categories. When looking at individual proteins, pancreatic polypeptide was selectively dysregulated in PD, thrombopoeitin in DS, IL6 and TNFa in AD and IL7 in both AD and DS. Conclusions: To our knowledge, this study represents the first ever for a blood-based biomarker profile of AD to cross-validate on an independent assay platform. Additionally, our preliminary results suggest that the profile approach to analyzing multiple markers by disease states is a viable option for differential diagnosis between AD and non-AD neurological diseases. Additional analyses with larger samples of AD, PD and non-AD samples are underway.