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S4‐01‐03: A Serum protein‐based algorithm for the detection of Alzheimer's disease
Author(s) -
O'Bryant Sidney,
Guanghua Xiao,
Robert Barber,
Hall James,
Doody Rachelle,
Reisch Joan,
Royall Donald,
Adams Perrie,
Wilhelmsen Kirk,
Fairchild Thomas,
DiazArrastia Ramon
Publication year - 2011
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.2011.05.1944
Subject(s) - biomarker , medicine , multiplex , oncology , cohort , homocysteine , disease , algorithm , framingham risk score , bioinformatics , computer science , biology , biochemistry
Conclusions: These initial data suggest that serum protein-based biomarkers can be combined with clinical information to accurately classify AD. A disproportionate number of inflammatory and vascular markers were weighted most heavily in the analyses. Additionally, these markers consistently distinguished cases from controls in significant analysis of microarray, logistic regression, and Wilcoxon analyses, suggesting the existence of an inflammatory-related endophenotype of AD that may provide targeted therapeutic opportunities for this subset of patients.

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