Early striatal amyloid deposition distinguishes Down syndrome and autosomal dominant Alzheimer's disease from late-onset amyloid deposition.

INTRODUCTION: The objective of this study was to evaluate amyloid ß (Aß) deposition patterns in different groups of cerebral ß amyloidosis: (1) nondemented with amyloid precursor protein overproduction (Down syndrome); (2) nondemented with abnormal processing of amyloid precursor protein (preclinical autosomal dominant Alzheimer disease); (3) presumed alteration in Aß clearance with clinical symptoms (late-onset AD); and (4) presumed alterations in Aß clearance (preclinical AD). METHODS: We performed whole-brain voxelwise comparison of cerebral Aß between 23 Down syndrome, 10 preclinical autosomal dominant Alzheimer disease, 17 late-onset AD, and 16 preclinical AD subjects, using Pittsburgh Compound B-positron emission tomography. RESULTS: We found both Down syndrome and preclinical autosomal dominant Alzheimer disease shared a distinct pattern of increased bilateral striatal and thalamic Aß deposition compared to late-onset AD and preclinical AD. CONCLUSION: Disorders associated with early-life alterations in amyloid precursor protein production or processing are associated with a distinct pattern of early striatal fibrillary Aß deposition before significant cognitive impairment. A better understanding of this unique pattern could identify important mechanisms of Aß deposition and possibly important targets for early intervention.

Amyloid burden, neuronal function, and cognitive decline in middle-aged adults at risk for Alzheimer's disease.

The relative influence of amyloid burden, neuronal structure and function, and prior cognitive performance on prospective memory decline among asymptomatic late middle-aged individuals at risk for Alzheimer's disease (AD) is currently unknown. We investigated this using longitudinal cognitive data from 122 middle-aged adults (21 "Decliners" and 101 "Stables") enrolled in the Wisconsin Registry for Alzheimer's Prevention who underwent multimodality neuroimaging [11C-Pittsburgh Compound B (PiB), 18F-fluorodeoxyglucose (FDG), and structural/functional magnetic resonance imaging (fMRI)] 5.7 ± 1.4 years (range = 2.9-8.9) after their baseline cognitive assessment. Covariate-adjusted regression analyses revealed that the only imaging measure that significantly distinguished Decliners from Stables (p = .027) was a Neuronal Function composite derived from FDG and fMRI. In contrast, several cognitive measures, especially those that tap episodic memory, significantly distinguished the groups (p's<.05). Complementary receiver operating characteristic curve analyses identified the Brief Visuospatial Memory Test-Revised (BVMT-R) Total (.82 ± .05, p < .001), the BVMT-R Delayed Recall (.73 ± .06, p = .001), and the Reading subtest from the Wide-Range Achievement Test-III (.72 ± .06, p = .002) as the top three measures that best discriminated the groups. These findings suggest that early memory test performance might serve a more clinically pivotal role in forecasting future cognitive course than is currently presumed.

Plasma Total-Tau and Neurofilament Light Chain as Diagnostic Biomarkers of Alzheimer's Disease Dementia and Mild Cognitive Impairment in Adults with Down Syndrome.

BACKGROUND: The need for diagnostic biomarkers of cognitive decline is particularly important among aging adults with Down syndrome (DS). Growing empirical support has identified the utility of plasma derived biomarkers among neurotypical adults with mild cognitive impairment (MCI) and Alzheimer's disease (AD); however, the application of such biomarkers has been limited among the DS population. OBJECTIVE: This study aimed to investigate the cross-sectional diagnostic performance of plasma neurofilament light chain (Nf-L) and total-tau, individually and in combination among a cohort of DS adults. METHODS: Plasma samples were analyzed from n = 305 (n = 225 cognitively stable (CS); n = 44 MCI-DS; n = 36 DS-AD) participants enrolled in the Alzheimer's Biomarker Consortium -Down Syndrome. RESULTS: In distinguishing DS-AD participants from CS, Nf-L alone produced an AUC of 90%, total-tau alone reached 74%, and combined reached an AUC of 86%. When age and gender were included, AUC increased to 93%. Higher values of Nf-L, total-tau, and age were all shown to be associated with increased risk for DS-AD. When distinguishing MCI-DS participants from CS, Nf-L alone produced an AUC of 65%, while total-tau alone reached 56%. A combined model with Nf-L, total-tau, age, and gender produced an AUC of 87%. Both higher values in age and total-tau were found to increase risk for MCI-DS; Nf-L levels were not associated with increased risk for MCI-DS. CONCLUSION: Advanced assay techniques make total-tau and particularly Nf-L useful biomarkers of both AD pathology and clinical status in DS and have the potential to serve as outcome measures in clinical trials for future disease-modifying drugs.

Cohort study of electroencephalography markers of amyloid-tau-neurodegeneration pathology.

Electroencephalography signatures of amyloid-ß, tau and neurodegenerative pathologies would aid in screening for, tracking progression of, and critically, understanding the pathogenesis of dementia. We hypothesized that slowing of the alpha peak frequency, as a signature of hyperpolarization-activated cyclic nucleotide gated 'pacemaker' channel activity, would correlate with amyloid and tau pathology burden measured by amyloid (Pittsburgh Compound B) and tau (MK-6240) positron emission tomography or CSF biomarkers. We also hypothesized that EEG power would be associated with neurodegeneration (CSF neurofilament light and hippocampal volume). Wakeful high-density EEG data were collected from 53 subjects. Both amyloid-ß and tau pathology were associated with slowing in the alpha peak frequency [Pittsburgh Compound B (+) vs. Pittsburgh Compound B (-) subjects, P = 0.039 and MK-6240 (+) vs. MK-6240 (-) subjects, P = 0.019]. Furthermore, slowing in the peak alpha frequency correlated with CSF Aß42/40 ratio (r 2 = 0.270; P = 0.003), phosphoTau (pTau181, r 2 = 0.290; P = 0.001) and pTau181/Aß42 (r 2 = 0.343; P < 0.001). Alpha peak frequency was not associated with neurodegeneration. Higher CSF neurofilament light was associated with lower total EEG power (r 2 = 0.136; P = 0.018), theta power (r 2 = 0.148; P = 0.014) and beta power (r 2 = 0.216; P = 0.002); the latter was also associated with normalized hippocampal volume (r 2 = 0.196; P = 0.002). Amyloid-tau and neurodegenerative pathologies are associated with distinct electrophysiological signatures that may be useful as mechanistic tools and diagnostic/treatment effect biomarkers in clinical trials.

The AT(N) framework for Alzheimer's disease in adults with Down syndrome.

The National Institute on Aging in conjunction with the Alzheimer's Association (NIA-AA) recently proposed a biological framework for defining the Alzheimer's disease (AD) continuum. This new framework is based upon the key AD biomarkers (amyloid, tau, neurodegeneration, AT[N]) instead of clinical symptoms and represents the latest understanding that the pathological processes underlying AD begin decades before the manifestation of symptoms. By using these same biomarkers, individuals with Down syndrome (DS), who are genetically predisposed to developing AD, can also be placed more precisely along the AD continuum. The A/T(N) framework is therefore thought to provide an objective manner by which to select and enrich samples for clinical trials. This new framework is highly flexible and allows the addition of newly confirmed AD biomarkers into the existing AT(N) groups. As biomarkers for other pathological processes are validated, they can also be added to the AT(N) classification scheme, which will allow for better characterization and staging of AD in DS. These biological classifications can then be merged with clinical staging for an examination of factors that impact the biological and clinical progression of the disease. Here, we leverage previously published guidelines for the AT(N) framework to generate such a plan for AD among adults with DS.

Proteomic profiles for Alzheimer's disease and mild cognitive impairment among adults with Down syndrome spanning serum and plasma: An Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS) study.

INTRODUCTION: Previously generated serum and plasma proteomic profiles were examined among adults with Down syndrome (DS) to determine whether these profiles could discriminate those with mild cognitive impairment (MCI-DS) and Alzheimer's disease (DS-AD) from those cognitively stable (CS). METHODS: Data were analyzed on n = 305 (n = 225 CS; n = 44 MCI-DS; n = 36 DS-AD) enrolled in the Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS). RESULTS: Distinguishing MCI-DS from CS, the serum profile produced an area under the curve (AUC) = 0.95 (sensitivity [SN] = 0.91; specificity [SP] = 0.99) and an AUC = 0.98 (SN = 0.96; SP = 0.97) for plasma when using an optimized cut-off score. Distinguishing DS-AD from CS, the serum profile produced an AUC = 0.93 (SN = 0.81; SP = 0.99) and an AUC = 0.95 (SN = 0.86; SP = 1.0) for plasma when using an optimized cut-off score. AUC remained unchanged to slightly improved when age and sex were included. Eotaxin3, interleukin (IL)-10, C-reactive protein, IL-18, serum amyloid A , and FABP3 correlated fractions at r2 > = 0.90. DISCUSSION: Proteomic profiles showed excellent detection accuracy for MCI-DS and DS-AD.

Comparison of longitudinal Aß in nondemented elderly and Down syndrome.

Down syndrome (DS) predisposes individuals to early Alzheimer's disease (AD). Using Pittsburgh Compound B ([11C]PiB), a pattern of striatal amyloid beta (Aß) that is elevated relative to neocortical binding has been reported, similar to that of nondemented autosomal dominant AD mutation carriers. However, it is not known whether changes in striatal and neocortical [11C]PiB retention differ over time in a nondemented DS population when compared to changes in a nondemented elderly (NDE) population. The purpose of this work was to assess longitudinal changes in trajectories of Aß in a nondemented DS compared to an NDE cohort. The regional trajectories for anterior ventral striatum (AVS), frontal cortex, and precuneus [11C]PiB retention were explored over time using linear mixed effects models with fixed effects of time, cohort, and time-by-cohort interactions and subject as random effects. Significant differences between DS and NDE cohort trajectories for all 3 region of interests were observed (p < 0.05), with the DS cohort showing a faster accumulation in the AVS and slower accumulation in the frontal cortex and precuneus compared to the NDE cohort. These data add to the previously reported distinct pattern of early striatal deposition not commonly seen in sporadic AD by demonstrating that individuals with DS may also accumulate Aß at a rate faster in the AVS when compared to NDE subjects.

Amyloid burden, cortical thickness, and cognitive function in the Wisconsin Registry for Alzheimer's Prevention.

There is a growing interest in understanding how amyloid-ß (Aß) accumulation in preclinical Alzheimer's disease relates to brain morphometric measures and cognition. Existing investigations in this area have been primarily conducted in older cognitively-normal (CN) individuals. Therefore, not much is known about the associations between Aß burden, cortical thickness, and cognition in midlife. We examined this question in 109, CN, late-middle-aged adults (mean age=60.72±5.65 years) from the Wisconsin Registry for Alzheimer's Prevention. They underwent Pittsburgh Compound B (PiB) and anatomical magnetic resonance (MR) imaging, and a comprehensive cognitive exam. Blinded visual rating of the PiB scans was used to classify the participants as Aß+ or Aß-. Cortical thickness measurements were derived from the MR images. The Aß+ group exhibited significant thinning of the entorhinal cortex and accelerated age-associated thinning of the parahippocampal gyrus compared with the Aß- group. The Aß+ group also had numerically lower, but nonsignificant, test scores on all cognitive measures, and significantly faster age-associated cognitive decline on measures of Speed & Flexibility, Verbal Ability, and Visuospatial Ability. Our findings suggest that early Aß aggregation is associated with deleterious changes in brain structure and cognitive function, even in midlife, and that the temporal lag between Aß deposition and the inception of neurodegenerative/cognitive changes might be narrower than currently thought.

A comparative study on the uptake and incorporation of radiolabeled methionine, choline and fluorodeoxyglucose in human astrocytoma.

PURPOSE: The goal of this investigation was to evaluate uptake and incorporation of 2-deoxy-2-[18F]fluoro-D-glucose (FDG), 11C-methionine, and 11C-choline in 17 patients suspected of grade-II and grade-III tumors using positron emission tomography (PET) and use in vitro astrocytoma cell lines in order to support in vivo findings. METHODS: Seventeen patients with suspected astrocytomas (9 grade-II and 8 grade-III) were studied by PET with FDG and 11C-methionine; and one patient (grade-III) with FDG, 11C-methionine and 11C-choline. Uptake of PET molecular imaging probe was quantitative based on tumor to corresponding contralateral-region uptake ratio, tumor to mean-cortical-uptake ratio, and tumor to white matter uptake ratio. This was correlated with World Health Organization histology grading system and clinical follow-up. Uptake and incorporation of 3H-methionine, 3H-choline and FDG into lipid, RNA, DNA, and protein were investigated in a grade-III human tumor brain-14 astrocytoma cell line. RESULTS: A time-dependent increase in the total uptake of 3H-methionine, 3H-choline and FDG was observed in human tumor brain-14 astrocytoma-III cell line. 3H-methionine was incorporated predominantly into proteins (in excess of 40% at 1 h) while 3H-choline incorporated primarily into lipids (in excess of 60% at 1 hr). Total uptake of FDG was accounted for in the free-pool supernatant fraction. In all patients, PET images of 11C-methionine and FDG provided higher tumor to white matter ratios than tumor to corresponding contra-lateral region ratios and tumor to mean cortical uptake ratios. In grade II patients, FDG did not exhibit significant increase in tumor uptake, while 11C-methionine was a good predictor with ratios of approximately 1.50 +/- 0.48. In grade III patients, both FDG and 11C-methionine exhibited higher ratios than for grade II, with 11C-methionine being the greatest (ratios of 2.50 +/- 0.85), possibly suggesting enhanced protein synthesis. With respect to tumor delineating potential, 11C-choline may be equal to or slightly better than 11C-methionine in the subject evaluated with all three probes. CONCLUSIONS: Results suggest that a combination of FDG and 11C-methionine is useful in the prediction of histological grade of astrocytomas. In addition, 11C-methionine is better than FDG in delineating tumor boundary for low-grade gliomas. In vitro results suggest that 3H-methionine is significantly incorporated into proteins and provides the major driving force in the uptake of 11C-methionine observed in PET images.

Clinical utility of 11C-flumazenil positron emission tomography in intractable temporal lobe epilepsy.

BACKGROUND: 11C-flumazenil (FMZ) positron emission tomography (PET) is a new entrant into the armamentarium for pre-surgical evaluation of patients with intractable temporal lobe epilepsy (TLE). AIMS: To analyze the clinical utility of FMZ PET to detect lesional and remote cortical areas of abnormal benzodiazepine receptor binding in relation to magnetic resonance imaging (MRI), 2-Deoxy-2 [18F] fluoro-D-glucose, (18F FDG) PET, electrophysiological findings and semiology of epilepsy in patients with intractable TLE. MATERIALS AND METHODS: Patients underwent a high resolution MRI, prolonged Video-EEG monitoring before 18F FDG and 11C FMZ PET studies. Regional cortical FMZ PET abnormalities were defined on co-registered PET images using an objective method based on definition of areas of abnormal asymmetry (asymmetry index {AI}>10%). SETTINGS AND DESIGN: Prospective. STATISTICAL ANALYSIS: Student's "t" test. RESULTS: Twenty patients (Mean age: 35.2 years [20-51]; M:F=12:8) completed the study. Mean age at seizure onset was 10.3 years (birth-38 years); mean duration, 23.9 years (6-50 years). Concordance with the MRI lesion was seen in 10 patients (nine with hippocampal sclerosis and one with tuberous sclerosis). In the other 10, with either normal or ambiguous MRI findings, FMZ and FDG uptake were abnormal in all, concordant with the electrophysiological localization of the epileptic foci. Remote FMZ PET abnormalities (n=18) were associated with early age of seizure onset (P=0.005) and long duration of epilepsy (P=0.01). CONCLUSIONS: FMZ-binding asymmetry is a sensitive method to detect regions of epileptic foci in patients with intractable TLE.

Physical activity attenuates age-related biomarker alterations in preclinical AD.

OBJECTIVE: To examine whether engagement in physical activity might favorably alter the age-dependent evolution of Alzheimer disease (AD)-related brain and cognitive changes in a cohort of at-risk, late-middle-aged adults. METHODS: Three hundred seventeen enrollees in the Wisconsin Registry for Alzheimer's Prevention underwent T1 MRI; a subset also underwent (11)C-Pittsburgh compound B-PET (n = 186) and (18)F-fluorodeoxyglucose-PET (n = 152) imaging. Participants' responses on a self-report measure of current physical activity were used to classify them as either physically active or physically inactive based on American Heart Association guidelines. They also completed a comprehensive neuropsychological battery. Covariate-adjusted regression analyses were used to test whether the adverse effect of age on imaging and cognitive biomarkers was modified by physical activity. RESULTS: There were significant age × physical activity interactions for ß-amyloid burden (p = 0.014), glucose metabolism (p = 0.015), and hippocampal volume (p = 0.025) such that, with advancing age, physically active individuals exhibited a lesser degree of biomarker alterations compared with the physically inactive. Similar age × physical activity interactions were also observed on cognitive domains of Immediate Memory (p = 0.042) and Visuospatial Ability (p = 0.016). In addition, the physically active group had higher scores on Speed and Flexibility (p = 0.002) compared with the inactive group. CONCLUSIONS: In a middle-aged, at-risk cohort, a physically active lifestyle is associated with an attenuation of the deleterious influence of age on key biomarkers of AD pathophysiology. However, because our observational, cross-sectional design cannot establish causality, randomized controlled trials/longitudinal studies will be necessary for determining whether midlife participation in structured physical exercise forestalls the development of AD and related disorders in later life.