Open AccessProteomic profiles of incident mild cognitive impairment and Alzheimer's disease among adults with Down syndrome
Author(s) -
O'Bryant Sid E.,
Zhang Fan,
Silverman Wayne,
Lee Joseph H.,
KrinskyMcHale Sharon J.,
Pang Deborah,
Hall James,
Schupf Nicole
Publication year - 2020
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1002/dad2.12033
Subject(s) - hazard ratio , cohort , medicine , cognitive impairment , disease , alzheimer's disease , area under the curve , cohort study , oncology , confidence interval
We sought to determine if proteomic profiles could predict risk for incident mild cognitive impairment (MCI) and Alzheimer's disease (AD) among adults with Down syndrome (DS). Methods In a cohort of 398 adults with DS, a total of n = 186 participants were determined to be non‐demented and without MCI or AD at baseline and throughout follow‐up; n = 103 had incident MCI and n = 81 had incident AD. Proteomics were conducted on banked plasma samples from a previously generated algorithm. Results The proteomic profile was highly accurate in predicting incident MCI (area under the curve [AUC] = 0.92) and incident AD (AUC = 0.88). For MCI risk, the support vector machine (SVM)‐based high/low cut‐point yielded an adjusted hazard ratio (HR) = 6.46 ( P < .001). For AD risk, the SVM‐based high/low cut‐point score yielded an adjusted HR = 8.4 ( P < .001). Discussion The current results provide support for our blood‐based proteomic profile for predicting risk for MCI and AD among adults with DS.