Objective: To determine whether preclinical Alzheimer disease (AD), as detected by the amyloid-imaging agent Pittsburgh Compound B (PiB) in cognitively normal older adults, is associated with risk of symptomatic AD.
Design: A longitudinal cohort study of cognitively normal older adults assessed with positron emission tomography (PET) to determine the mean cortical binding potential for PiB and followed up with annual clinical and cognitive assessments for progression to very mild dementia of the Alzheimer type (DAT).
Setting: The Alzheimer's Disease Research Center, Washington University, St Louis, Missouri.
Participants: One hundred fifty-nine participants with a mean age of 71.5 years with a Clinical Dementia Rating (CDR) of 0 on a PET PiB scan at baseline.
Main Outcome Measure: Progression from CDR 0 to CDR 0.5 status (very mild dementia).
Results: Twenty-three participants progressed to CDR 0.5 at follow-up assessment (range, 1-5 assessments after PET PiB). Of these, 9 also were diagnosed with DAT. Higher mean cortical binding potential values for PiB (hazard ratio, 4.85; 95% confidence interval, 1.22-19.01; P = .02) and age (hazard ratio, 1.14; 95% confidence interval, 1.02-1.28; P = .03) predicted progression to CDR 0.5 DAT. The CDR 0.5 DAT group showed decline in 3 cognitive domains (episodic memory, semantic memory, and visuospatial performance) and had volume loss in the parahippocampal gyrus (includes entorhinal cortex) compared with individuals who remained at CDR 0.
Conclusion: Preclinical AD as detected by PET PiB is not benign, as it is associated with progression to symptomatic AD.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798814 | PMC |
http://dx.doi.org/10.1001/archneurol.2009.269 | DOI Listing |
Rev Esp Med Nucl Imagen Mol (Engl Ed)
December 2024
Servicio de Medicina Nuclear, Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, Grupo de Imagen Molecular (IDIVAL), Santander, Spain.
J Alzheimers Dis
December 2024
Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Background: The relationship between subtle cognitive decline and Alzheimer's disease (AD) pathology as measured by biomarkers in settings outside of specialty memory clinics is not well characterized.
Objective: To investigate how subtle longitudinal cognitive decline relates to neuroimaging biomarkers in individuals drawn from a population-based study in an economically depressed, small-town area in southwestern Pennsylvania, USA.
Methods: A subset of participants without dementia (N = 115, age 76.
Introduction: Adults with Down syndrome demonstrate striatum-first amyloid accumulation with [C]PiB PET imaging, which has not been replicated with [F]florbetapir (FBP). Early striatal accumulation has not been temporally quantified with respect to global cortical measures.
Methods: Longitudinal PiB (n=175 participants) and FBP (n=92 participants) data from the Alzheimer Biomarkers Consortium-Down Syndrome were used to measure cortical and striatal binding.
Alzheimers Dement
November 2024
Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, USA.
Introduction: The factors that influence the progression of Alzheimer's disease (AD) after individuals become amyloid-positive are poorly understood. This study examines how sex influences the longitudinal trajectories of plasma AD and neurodegenerative biomarkers in the years following a person's estimated onset of amyloid-β.
Methods: Linear mixed-effects modeling investigated overall and sex-specific longitudinal trajectories of plasma biomarkers, brain volumes, and cognition relative to the estimated age of amyloid onset in a cohort of 78 amyloid-positive Baltimore Longitudinal Study of Aging (BLSA) participants (n = 45 male; follow-up time: 6.
Hum Brain Mapp
November 2024
Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Differences in amyloid positron emission tomography (PET) radiotracer pharmacokinetics and binding properties lead to discrepancies in amyloid-β uptake estimates. Harmonization of tracer-specific biases is crucial for optimal performance of downstream tasks. Here, we investigated the efficacy of ComBat, a data-driven harmonization model, for reducing tracer-specific biases in regional amyloid PET measurements from [F]-florbetapir (FBP) and [C]-Pittsburgh compound-B (PiB).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!