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.
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.
Authors: Leon J Thal; Kejal Kantarci; Eric M Reiman; William E Klunk; Michael W Weiner; Henrik Zetterberg; Douglas Galasko; Domenico Praticò; Sue Griffin; Dale Schenk; Eric Siemers Journal: Alzheimer Dis Assoc Disord Date: 2006 Jan-Mar Impact factor: 2.703
Authors: Neill R Graff-Radford; Julia E Crook; John Lucas; Bradley F Boeve; David S Knopman; Robert J Ivnik; Glenn E Smith; Linda H Younkin; Ronald C Petersen; Steven G Younkin Journal: Arch Neurol Date: 2007-03
Authors: Sandip Ray; Markus Britschgi; Charles Herbert; Yoshiko Takeda-Uchimura; Adam Boxer; Kaj Blennow; Leah F Friedman; Douglas R Galasko; Marek Jutel; Anna Karydas; Jeffrey A Kaye; Jerzy Leszek; Bruce L Miller; Lennart Minthon; Joseph F Quinn; Gil D Rabinovici; William H Robinson; Marwan N Sabbagh; Yuen T So; D Larry Sparks; Massimo Tabaton; Jared Tinklenberg; Jerome A Yesavage; Robert Tibshirani; Tony Wyss-Coray Journal: Nat Med Date: 2007-10-14 Impact factor: 53.440
Authors: John M Ringman; David Elashoff; Daniel H Geschwind; Brian T Welsh; Karen H Gylys; Cathy Lee; Jeffrey L Cummings; Greg M Cole Journal: Arch Neurol Date: 2012-06
Authors: E Cavedo; S Lista; Z Khachaturian; P Aisen; P Amouyel; K Herholz; C R Jack; R Sperling; J Cummings; K Blennow; S O'Bryant; G B Frisoni; A Khachaturian; M Kivipelto; W Klunk; K Broich; S Andrieu; M Thiebaut de Schotten; J-F Mangin; A A Lammertsma; K Johnson; S Teipel; A Drzezga; A Bokde; O Colliot; H Bakardjian; H Zetterberg; B Dubois; B Vellas; L S Schneider; H Hampel Journal: J Prev Alzheimers Dis Date: 2014-12
Authors: James R Hall; Leigh A Johnson; Robert C Barber; Hoa T Vo; A Scott Winter; Sid E O'Bryant Journal: J Alzheimers Dis Date: 2012 Impact factor: 4.472
Authors: Markus Britschgi; Kaspar Rufibach; Sarah L Bauer Huang; Christopher M Clark; Jeffrey A Kaye; Ge Li; Elaine R Peskind; Joseph F Quinn; Douglas R Galasko; Tony Wyss-Coray Journal: Mol Cell Proteomics Date: 2011-07-08 Impact factor: 5.911