4.0 Article

Blood-Based Protein Biomarkers for Diagnosis of Alzheimer Disease

Journal

ARCHIVES OF NEUROLOGY
Volume 69, Issue 10, Pages 1318-1325

Publisher

AMER MEDICAL ASSOC
DOI: 10.1001/archneurol.2012.1282

Keywords

-

Funding

  1. ADNI (National Institutes of Health [NIH] grant [U01 AG024904]
  2. National Institute on Aging
  3. National Institute of Biomedical Imaging and Bioengineering
  4. Canadian Institutes of Health Research
  5. NIH [P30 AG010129, K01 AG030514]
  6. CSIRO
  7. Science and Industry Endowment Fund (SIEF)
  8. National Health and Medical Research Council (NHMRC) via the Dementia Collaborative Research Centres program (DCRC2)
  9. Pfizer International
  10. AstraZeneca
  11. GE Healthcare
  12. McCusker Foundation
  13. NHMRC training fellowship
  14. Office of Research and Innovation at Edith Cowan University
  15. Alzheimer's Australia

Ask authors/readers for more resources

Objective: To identify plasma biomarkers for the diagnosis of Alzheimer disease (AD). Design: Baseline plasma screening of 151 multiplexed analytes combined with targeted biomarker and clinical pathology data. Setting: General community-based, prospective, longitudinal study of aging. Participants: A total of 754 healthy individuals serving as controls and 207 participants with AD from the Australian Imaging Biomarker and Lifestyle study (AIBL) cohort with identified biomarkers that were validated in 58 healthy controls and 112 individuals with AD from the Alzheimer Disease Neuroimaging Initiative (ADNI) cohort. Results: A biomarker panel was identified that included markers significantly increased (cortisol, pancreatic polypeptide, insulinlike growth factor binding protein 2, beta(2) microglobulin, vascular cell adhesion molecule 1, carcinoembryonic antigen, matrix metalloprotein 2, CD40, macrophage inflammatory protein 1 alpha, superoxide dismutase, and homocysteine) and decreased (apolipoprotein E, epidermal growth factor receptor, hemoglobin, calcium, zinc, interleukin 17, and albumin) in AD. Cross-validated accuracy measures from the AIBL cohort reached a mean (SD) of 85% (3.0%) for sensitivity and specificity and 93% (3.0) for the area under the receiver operating characteristic curve. A second validation using the ADNI cohort attained accuracy measures of 80% (3.0%) for sensitivity and specificity and 85% (3.0) for area under the receiver operating characteristic curve. Conclusions: This study identified a panel of plasma biomarkers that distinguish individuals with AD from cognitively healthy control subjects with high sensitivity and specificity. Cross-validation within the AIBL cohort and further validation within the ADNI cohort provides strong evidence that the identified biomarkers are important for AD diagnosis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.0
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available