Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2009 Oct:1180:56-67.
doi: 10.1111/j.1749-6632.2009.05066.x.

Identifying early markers of Alzheimer's disease using quantitative multiplex proteomic immunoassay panels

Affiliations

Identifying early markers of Alzheimer's disease using quantitative multiplex proteomic immunoassay panels

Holly D Soares et al. Ann N Y Acad Sci. 2009 Oct.

Erratum in

  • Ann N Y Acad Sci. 2010 Feb;1188:231. Rohrer, Alex [corrected to Roher, Alex]

Abstract

Alzheimer's disease (AD) is a debilitating neurodegenerative disorder with incidence expected to increase four-fold over the next decade. Extensive research efforts are focused upon identifying new treatments, and early diagnosis is considered key to successful intervention. Although imaging and cerebrospinal fluid biomarkers have shown promise in identifying patients in very early stages of the disease, more noninvasive cost-effective tools have remained elusive. Recent studies have reported that an 18-analyte multiplexed plasma panel can differentiate AD from controls suggesting plasma-based screening tools for early AD diagnosis exists. The current study tested the reproducibility of a subset of the original 18-analyte panel using a bead-based multiplex technology. Preliminary results suggest diagnostic accuracy using the subset was 61%. Multivariate analysis of an 89-analyte multivariate panel yielded a diagnostic accuracy of 70% suggesting a plasma-based AD signature that may be a useful screening tool.

PubMed Disclaimer

Similar articles

Cited by

LinkOut - more resources

  NODES
twitter 2