This site uses cookies to measure how you use the website so it can be updated and improved based on your needs and also uses cookies to help remember the notifications you’ve seen, like this one, so that we don’t show them to you again. If you could also tell us a little bit about yourself, this information will help us understand how we can support you better and make this site even easier for you to use and navigate.

A serum protein-based algorithm for the detection of Alzheimer disease


O'Bryant, Sid E., Xiao, Guanghua, Barber, Robert, Reisch, Joan, Doody, Rachelle, Fairchild, Thomas, Adams, Perrie, Waring, Steven, Diaz-Arrastia, Ramon


Archives of Neurology, Volume: 67, No.: 9, Pages.: 1077-1081

Year of Publication



Objective: To develop an algorithm that separates patients with Alzheimer disease (AD) from controls. Design: Longitudinal case-control study. Setting: The Texas Alzheimer’s Research Consortium project. Patients: We analyzed serum protein-based multiplex biomarker data from 197 patients diagnosed with AD and 203 controls. Main Outcome Measure: The total sample was randomized equally into training and test sets and random forest methods were applied to the training set to create a biomarker risk score. Results: The biomarker risk score had a sensitivity and specificity of 0.80 and 0.91, respectively, and an area under the curve of 0.91 in detecting AD. When age, sex, education, and APOE status were added to the algorithm, the sensitivity, specificity, and area under the curve were 0.94, 0.84, and 0.95, respectively. 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. (PsycINFO Database Record (c) 2013 APA, all rights reserved). (journal abstract)

Bibtex Citation

@article{O_Bryant_2010, doi = {10.1001/archneurol.2010.215}, url = {}, year = 2010, month = {sep}, publisher = {American Medical Association ({AMA})}, volume = {67}, number = {9}, pages = {1077}, author = {Sid E. O'Bryant}, title = {A Serum Protein{textendash}Based Algorithm for the Detection of Alzheimer Disease}, journal = {Arch Neurol} }


algorithms, alzheimer’s disease, alzheimers disease detection, biological markers, cholinesterase inhibitors, patients, proteins, serum proteinbased algorithms

Countries of Study


Types of Dementia

Alzheimer’s Disease

Type of Interventions

Diagnostic Target Identification

Diagnostic Targets

Genetic Testing