Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome

Melissa Petersen, Fan Zhang, Sharon J. Krinsky-McHale, Wayne Silverman, Joseph H. Lee, Deborah Pang, James Hall, Nicole Schupf, Sid E. O'Bryant

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Introduction: We sought to determine if a proteomic profile approach developed to detect Alzheimer's disease (AD) in the general population would apply to adults with Down syndrome (DS). Methods: Plasma samples were obtained from 398 members of a community-based cohort of adults with DS. A total of n = 186 participants were determined to be non-demented and without mild cognitive impairment (MCI) at baseline and throughout follow-up; n = 50 had prevalent MCI; n = 42 had prevalent AD. Results: The proteomic profile yielded an area under the curve (AUC) of 0.92, sensitivity (SN) = 0.80, and specificity (SP) = 0.98 detecting prevalent MCI. For detecting prevalent AD, the proteomic profile yielded an AUC of 0.89, SN = 0.81, and SP = 0.97. The overall profile closely resembled our previously published profile of AD in the general population. Discussion: These data provide evidence of the applicability of our blood-based algorithm for detecting MCI/AD among adults with DS.

Original languageEnglish
Article numbere12023
JournalAlzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
Volume12
Issue number1
DOIs
StatePublished - 2020

Keywords

  • Alzheimer's disease
  • Down syndrome
  • biomarkers
  • blood based
  • plasma

Fingerprint Dive into the research topics of 'Proteomic profiles of prevalent mild cognitive impairment and Alzheimer's disease among adults with Down syndrome'. Together they form a unique fingerprint.

Cite this