Update on the biomarker core of the Alzheimer's Disease Neuroimaging Initiative subjects

John Q. Trojanowski, Hugo Vandeerstichele, Magdalena Korecka, Christopher M. Clark, Paul S. Aisen, Ronald C. Petersen, Kaj Blennow, Holly Soares, Adam Simon, Piotr Lewczuk, Robert Dean, Eric Siemers, William Z. Potter, Michael W. Weiner, Clifford R. Jack, William Jagust, Arthur W. Toga, Virginia M.Y. Lee, Leslie M. Shaw

Research output: Contribution to journalReview articlepeer-review

212 Scopus citations

Abstract

Here, we review progress by the Penn Biomarker Core in the Alzheimer's Disease Neuroimaging Initiative (ADNI) toward developing a pathological cerebrospinal fluid (CSF) and plasma biomarker signature for mild Alzheimer's disease (AD) as well as a biomarker profile that predicts conversion of mild cognitive impairment (MCI) and/or normal control subjects to AD. The Penn Biomarker Core also collaborated with other ADNI Cores to integrate data across ADNI to temporally order changes in clinical measures, imaging data, and chemical biomarkers that serve as mileposts and predictors of the conversion of normal control to MCI as well as MCI to AD, and the progression of AD. Initial CSF studies by the ADNI Biomarker Core revealed a pathological CSF biomarker signature of AD defined by the combination of Aβ1-42 and total tau (T-tau) that effectively delineates mild AD in the large multisite prospective clinical investigation conducted in ADNI. This signature appears to predict conversion from MCI to AD. Data fusion efforts across ADNI Cores generated a model for the temporal ordering of AD biomarkers which suggests that Aβ amyloid biomarkers become abnormal first, followed by changes in neurodegenerative biomarkers (CSF tau, F-18 fluorodeoxyglucose-positron emission tomography, magnetic resonance imaging) with the onset of clinical symptoms. The timing of these changes varies in individual patients due to genetic and environmental factors that increase or decrease an individual's resilience in response to progressive accumulations of AD pathologies. Further studies in ADNI will refine this model and render the biomarkers studied in ADNI more applicable to routine diagnosis and to clinical trials of disease modifying therapies.

Original languageEnglish (US)
Pages (from-to)230-238
Number of pages9
JournalAlzheimer's and Dementia
Volume6
Issue number3
DOIs
StatePublished - May 2010

Keywords

  • Alzheimer's disease
  • Biomarkers
  • Cerebrospinal fluid
  • Mild cognitive impairment
  • Plasma

ASJC Scopus subject areas

  • Epidemiology
  • Health Policy
  • Developmental Neuroscience
  • Clinical Neurology
  • Geriatrics and Gerontology
  • Cellular and Molecular Neuroscience
  • Psychiatry and Mental health

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