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Neurosignals 2008;16:11–18

Biomarkers for Early Detection of Alzheimer Pathology

Clark C.M.a, d-f · Davatzikos C.b · Borthakur A.b · Newberg A.b · Leight S.c, g · Lee V.M.-Y.c, f, g · Trojanowski J.Q.c-g
Departments of aNeurology, bRadiology and cPathology and Laboratory Medicine, dCenter of Excellence for Research on Neurodegenerative Diseases, eAlzheimer Disease Center, fInstitute on Aging, and gCenter for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pa., USA
email Corresponding Author

 goto top of outline Key Words

  • Biomarkers
  • Alzheimer’s disease
  • Diagnosis
  • Neurodegenerative disease

 goto top of outline Abstract

The increasing prevalence of Alzheimer’s disease and the devastating consequences of late-life dementia motivates the drive to develop diagnostic biomarkers to reliably identify the pathology associated with this disorder. Strategies to accomplish this include the detection of altered levels of tau and amyloid in cerebrospinal fluid, the use of structural MRI to identify disease-specific patterns of regional atrophy and MRI T1ρ to detect disease-related macromolecular protein aggregation, and the direct imaging of amyloid deposits using positron emission tomography and single photon emission computerized tomography. Success will facilitate the ability to reliably diagnose Alzheimer’s disease while the symptoms of brain failure are mild and may provide objective measures of disease-modifying treatment efficacy.

Copyright © 2008 S. Karger AG, Basel

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 goto top of outline Author Contacts

Chris M. Clark, MD
Penn – Ralston Center, University of Pennsylvania
3615 Chestnut Street
Philadelphia, PA 19104 (USA)
Tel. +1 215 662 7810, Fax +1 215 662 7812, E-Mail

 goto top of outline Article Information

Published online: December 5, 2007
Number of Print Pages : 8
Number of Figures : 4, Number of Tables : 2, Number of References : 37

 goto top of outline Publication Details


Vol. 16, No. 1, Year 2008 (Cover Date: December 2007)

Journal Editor: Ip, N.Y. (Hong Kong)
ISSN: 1424–862X (print), 1424–8638 (Online)

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