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

Trojanowski, John Q (author)
Vandeerstichele, Hugo (author)
Korecka, Magdalena (author)
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Clark, Christopher M (author)
Aisen, Paul S (author)
Petersen, Ronald C (author)
Blennow, Kaj, 1958 (author)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Soares, Holly (author)
Simon, Adam (author)
Lewczuk, Piotr (author)
Dean, Robert (author)
Siemers, Eric (author)
Potter, William Z (author)
Weiner, Michael W (author)
Jack, Clifford R (author)
Jagust, William (author)
Toga, Arthur W (author)
Lee, Virginia M-Y (author)
Shaw, Leslie M (author)
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 (creator_code:org_t)
2010-05
2010
English.
In: Alzheimer's & dementia : the journal of the Alzheimer's Association. - : Wiley. - 1552-5279. ; 6:3, s. 230-8
  • Research review (peer-reviewed)
Abstract Subject headings
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  • 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 Abeta1-42 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 Abeta 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Psykiatri (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Psychiatry (hsv//eng)

Keyword

Alzheimer Disease
blood
cerebrospinal fluid
diagnosis
Amyloid beta-Protein
metabolism
Aniline Compounds
diagnostic use
Apolipoproteins E
genetics
Biological Markers
blood
cerebrospinal fluid
Cognition Disorders
blood
cerebrospinal fluid
Cross-Sectional Studies
Diagnostic Imaging
methods
trends
Homocysteine
metabolism
Humans
Isoprostanes
metabolism
Peptide Fragments
metabolism
Positron-Emission Tomography
methods
Prospective Studies
Reproducibility of Results
Thiazoles
diagnostic use
tau Proteins
metabolism

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