This report describes the first human study of a novel amyloid-imaging positron emission tomography (PET) tracer, termed Pittsburgh Compound-B (PIB), in 16 patients with diagnosed mild AD and 9 controls. Compared with controls, AD patients typically showed marked retention of PIB in areas of association cortex known to contain large amounts of amyloid deposits in AD. In the AD patient group, PIB retention was increased most prominently in frontal cortex (1.94-fold, p = 0.0001). Large increases also were observed in parietal (1.71-fold, p = 0.0002), temporal (1.52-fold, p = 0.002), and occipital (1.54-fold, p = 0.002) cortex and the striatum (1.76-fold, p = 0.0001). PIB retention was equivalent in AD patients and controls in areas known to be relatively unaffected by amyloid deposition (such as subcortical white matter, pons, and cerebellum). Studies in three young (21 years) and six older healthy controls (69.5 +/- 11 years) showed low PIB retention in cortical areas and no significant group differences between young and older controls. In cortical areas, PIB retention correlated inversely with cerebral glucose metabolism determined with 18F-fluorodeoxyglucose. This relationship was most robust in the parietal cortex (r = -0.72; p = 0.0001). The results suggest that PET imaging with the novel tracer, PIB, can provide quantitative information on amyloid deposits in living subjects.

Beta amyloid is one of the major histopathological hallmarks of Alzheimer's disease. We recently reported in vivo imaging of amyloid in 16 Alzheimer patients, using the PET ligand N-methyl[11C]2-(4'-methylaminophenyl)-6-hydroxy-benzothiazole (PIB). In the present study we rescanned these 16 Alzheimer patients after 2.0 +/- 0.5 years and have described the interval change in amyloid deposition and regional cerebral metabolic rate for glucose (rCMRGlc) at follow-up. Sixteen patients with Alzheimer's disease were re-examined by means of PET, using PIB and 2-[18F]fluoro-2-deoxy-d-glucose (FDG) after 2.0 +/- 0.5 years. The patients were all on cholinesterase inhibitor treatment and five also on treatment with the N-methyl-d-aspartate (NMDA) antagonist memantine. In order to estimate the accuracy of the PET PIB measurements, four additional Alzheimer patients underwent repeated examinations with PIB within 20 days (test-retest). Relative PIB retention in cortical regions differed by 3-7% in the test-retest study. No significant difference in PIB retention was observed between baseline and follow-up while a significant (P < 0.01) 20% decrease in rCMRGlc was observed in cortical brain regions. A significant negative correlation between rCMRGlc and PIB retention was observed in the parietal cortex in the Alzheimer patients at follow-up (r = 0.67, P = 0.009). A non-significant decline in Mini-Mental State Examination (MMSE) score from 24.3 +/- 3.7 (mean +/- standard deviation) to 22.7 +/- 6.1 was measured at follow-up. Five of the Alzheimer patients showed a significant decline in MMSE score of >3 (21.4 +/- 3.5 to 15.6 +/- 3.9, P < 0.01) (AD-progressive) while the rest of the patients were cognitively more stable (MMSE score = 25.6 +/- 3.1 to 25.9 +/- 3.7) (AD-stable) compared with baseline. A positive correlation (P = 0.001) was observed in the parietal cortex between Rey Auditory Verbal Learning (RAVL) test score and rCMRGlc at follow-up while a negative correlation (P = 0.018) was observed between RAVL test and PIB retention in the parietal at follow-up. Relatively stable PIB retention after 2 years of follow-up in patients with mild Alzheimer's disease suggests that amyloid deposition in the brain reaches a plateau by the early clinical stages of Alzheimer's disease and therefore may precede a decline in rCMRGlc and cognition. It appears that anti-amyloid therapies will need to induce a significant decrease in amyloid load in order for PIB PET images to detect a drug effect in Alzheimer patients. FDG imaging may be able to detect a stabilization of cerebral metabolism caused by therapy administered to patients with a clinical diagnosis of Alzheimer's disease.

PurposeThe aim of this study was to explore the cerebral distribution of the tau-specific PET tracer [18F]THK5317 (also known as (S)-[18F]THK5117) retention in different stages of Alzheimer’s disease; and study any associations with markers of hypometabolism and amyloid-beta deposition.MethodsThirty-three individuals were enrolled, including nine patients with Alzheimer’s disease dementia, thirteen with mild cognitive impairment (MCI), two with non-Alzheimer’s disease dementia, and nine healthy controls (five young and four elderly). In a multi-tracer PET design [18F]THK5317, [11C] Pittsburgh compound B ([11C]PIB), and [18F]FDG were used to assess tau pathology, amyloid-beta deposition and cerebral glucose metabolism, respectively. The MCI patients were further divided into MCI [11C]PIB-positive (n = 11) and MCI [11C]PIB-negative (n = 2) groups.ResultsTest-retest variability for [18F]THK5317-PET was very low (1.17–3.81 %), as shown by retesting five patients. The patients with prodromal (MCI [11C]PIB-positive) and dementia-stage Alzheimer’s disease had significantly higher [18F]THK5317 retention than healthy controls (p = 0.002 and p = 0.001, respectively) in areas exceeding limbic regions, and their discrimination from this control group (using the area under the curve) was >98 %. Focal negative correlations between [18F]THK5317 retention and [18F]FDG uptake were observed mainly in the frontal cortex, and focal positive correlations were found between [18F]THK5317 and [11C]PIB retentions isocortically. One patient with corticobasal degeneration syndrome and one with progressive supranuclear palsy showed no [11C]PIB but high [18F]THK5317 retentions with a different regional distribution from that in Alzheimer’s disease patients.ConclusionsThe tau-specific PET tracer [18F]THK5317 images in vivo the expected regional distribution of tau pathology. This distribution contrasts with the different patterns of hypometabolism and amyloid-beta deposition.Electronic supplementary materialThe online version of this article (doi:10.1007/s00259-016-3363-z) contains supplementary material, which is available to authorized users.

The majority of FTD patients displayed no PIB retention. Thus, PIB could potentially aid in differentiating between FTD and AD.

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The development of tau-specific positron emission tomography (PET) tracers allows imaging in vivo the regional load of tau pathology in Alzheimer's disease (AD) and other tauopathies. Eighteen patients with baseline investigations enroled in a 17-month follow-up study, including 16 with AD (10 had mild cognitive impairment and a positive amyloid PET scan, that is, prodromal AD, and six had AD dementia) and two with corticobasal syndrome. INTRODUCTIONThe aggregation of abnormally hyperphosphorylated tau protein into paired helical filaments is a key aspect of the pathology of Alzheimer's disease (AD). 1 Both the regional distribution of tau pathology in the brains of patients with AD and the sequential staging of its progression have been extensively described in postmortem studies. 2-5 These studies indicated, for the first time, that an early and relatively long preclinical phase of tau aggregation precedes the symptomatic stages of AD. 6,7 Despite this, the time course of tau pathology propagation, especially in relation to changes in the concomitant clinical and cognitive profiles of the individual patients, remains largely speculative because of the inherent limitations of post-mortem studies.During the past 5 years, the development of tau-specific positron emission tomography (PET) tracers 8 has provided a valuable addition to the neuroimaging arsenal. THK5317 [(S)-THK5117], a well characterised tau-specific tracer, 9-11 showed high retention in patients with AD with a regional pattern matching that of the distribution of tau pathology described by post-mortem studies. 12 Cross-sectionally, high load of tau pathology, as measured with THK5317 PET, was associated with

Ismail et al. show that 27-hydroxycholesterol, a peripheral cholesterol metabolite capable of passing the blood–brain barrier, reduces brain glucose uptake by upregulating the renin-angiotensin system and inhibiting GLUT4. This alteration affects memory processes and is likely to have implications on neurodegenerative diseases.

Though currently approved for visual assessment only, there is evidence to suggest that quantification of amyloid-β (Aβ) PET images may reduce inter-reader variability and aid in the monitoring of treatment effects in clinical trials. Quantification typically involves a regional atlas in standard space, requiring PET images to be spatially normalized. Different uptake patterns in Aβ-positive and Aβ-negative subjects, however, makes spatial normalization challenging. In this study we propose a method to spatially normalize [F]flutemetamol images, using a synthetic template based on principal component images to overcome these challenges. [F]Flutemetamol PET and corresponding MR images from a phase II trial ( = 70), including subjects ranging from Aβ-negative to Aβ-positive, were spatially normalized to standard space using an MR driven registration method (SPM12). [F]Flutemetamol images were then intensity normalized using the pons as reference region. Principal component images were calculated from the intensity normalized images. A linear combination of the first two principal component images was then used to model a synthetic template, spanning the whole range from Aβ-negative to Aβ-positive. The synthetic template was then incorporated in our registration method, where the optimal template was calculated as part of the registration process, providing a PET only driven registration method. Evaluation of the method was done in two steps. First, co-registered gray matter masks generated using SPM12 were spatially normalized using the PET and MR driven methods, respectively. The spatially normalized gray matter masks were then visually inspected and quantified. Secondly, to quantitatively compare the two registration methods, additional data from an ongoing study were spatially normalized using both methods with correlation analysis on the resulting cortical SUVR values. All scans were successfully spatially normalized using the proposed method, with no manual adjustments performed. Both visual and quantitative comparison between the PET and MR driven methods showed high agreement in cortical regions. [F]Flutemetamol quantification showed strong agreement between the SUVR values for the PET and MR driven methods (R2=0.996; pons reference region). The principal component template registration method allows for robust and accurate registration of [F]flutemetamol images to a standardized template space, without the need for an MR image.