Siemers, Eric

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.

The Alzheimer's Disease Neuroimaging Initiative (ADNI) beginning in October 2004, is a 6‐year research project that studies changes of cognition, function, brain structure and function, and biomarkers in elderly controls, subjects with mild cognitive impairment, and subjects with Alzheimer's disease (AD). A major goal is to determine and validate MRI, PET images, and cerebrospinal fluid (CSF)/blood biomarkers as predictors and outcomes for use in clinical trials of AD treatments. Structural MRI, FDG PET, C‐11 Pittsburgh compound B (PIB) PET, CSF measurements of amyloid β (Aβ) and species of tau, with clinical/cognitive measurements were performed on elderly controls, subjects with mild cognitive impairment, and subjects with AD. Structural MRI shows high rates of brain atrophy, and has high statistical power for determining treatment effects. FDG PET, C‐11 Pittsburgh compound B PET, and CSF measurements of Aβ and tau were significant predictors of cognitive decline and brain atrophy. All data are available at UCLA/LONI/ADNI, without embargo. ADNI‐like projects started in Australia, Europe, Japan, and Korea. ADNI provides significant new information concerning the progression of AD.

BackgroundBiomarkers that have been developed largely for the study of patients with clinically diagnosed Alzheimer's disease (AD) can also be used in the study of cognitively normal individuals who may harbor underlying AD pathology.MethodsA meeting of invited experts on AD biomarkers was held on November 11 and 12, 2004 to review currently available data and to discuss unmet needs for biomarker research in presymptomatic AD.ResultsNeuroimaging biomarkers have been studied to some extent in subjects at risk for AD. These imaging techniques include volumetric magnetic resonance imaging and positron emission tomography using either fluorodeoxyglucose or newer ligands that bind directly to amyloid plaque. Similarly, biochemical measures from cerebrospinal fluid or other physiologic fluids are emerging as potentially useful tools. Such biomarkers may be used either as diagnostic tools or as indicators of disease severity when followed longitudinally. A clinical diagnosis of asymptomatic individuals using biomarkers and studies involving asymptomatic subjects may raise logistical and ethical concerns.ConclusionsThe technical development of biomarkers that are used for presymptomatic AD diagnosis and for longitudinally measuring disease severity is evolving rapidly. Ethical and privacy considerations must be made before such biomarkers can be applied routinely to asymptomatic populations.