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000131877 1001_ $$0P:(DE-HGF)0$$aSabri, O$$b0$$eCorresponding author
000131877 1112_ $$aThe 9th International Symposium on Functional Neuroreceptor Mapping of the Living Brain$$cBaltimore$$d2012-08-09 - 2012-08-09$$gNRM2012$$wUSA
000131877 245__ $$aPET Imaging of Cerebral Nicotinic Acetylcholine Receptors (nAChRs) in Early Alzheimer’s Disease (AD) Assessed with the New Radioligand (–)-[18F]Norchloro-Fluoro-Homoepibatidine ((–)-[18F]Flubatine)
000131877 260__ $$a[s.l.]$$bOvid$$c2012
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000131877 520__ $$aObjectives: Post mortem studies have shown a degeneration of cholinergic neurons in the brain of AD-patients. Further evidence suggests that the loss of nAChRs is a major contributor to the cognitive deterioration in AD, whereby the alpha4beta2-nAChR subtype is thought to be the most severely reduced in the onset of AD. Using 2-[18F]F-A85380 PET we showed a significant decline in alpha4beta2-nAChRs in early AD-patients which correlated significantly with the loss of cognitive function (Sabri et al. 2008; Kendziorra et al. 2010). However, this tracer was not well suited as a biomarker in a routine clinical set-up for early AD-diagnosis because of unfavourable properties (slow kinetics, long acquisition times up to 7 hours, limited alpha4beta2-receptor-selectivity). We, therefore developed the new radiotracer (-)-[18F]NCFHEB (denominated as [18F]Flubatine) which is an epibatidine derivative with low toxicity in humans), with significantly improved brain uptake, nAChR affinity and selectivity (Brust et al. 2008). Here, we present the results of the worldwide first ongoing [18F]Flubatine-PET study in humans.  Methods: 16 mild AD-patients (NINCDS-ADRDA, age 74.4±6.6, MMSE 23.7±2.8) and 11 age-matched healthy controls (HC, age 69.6±5.1, MMSE 28.5±0.9) underwent [18F]Flubatine-PET (370 MBq, 3D-acquisition, ECAT Exact HR+). All were nonsmokers and naïve for central acting medication. In each subject, 4 scans (41 frames) were acquired from 0-270 min post injection and motion correction was performed with SPM2. Kinetic modeling was applied to the VOI-based tissue-activity curves generated for 29 brain regions (irregularly anatomically defined via MRI-coregistration) using a one tissue compartment model with measured arterial input-function. Total distribution volume (DV) and binding potential (BP, reference region: corpus callosum) were used to characterize specific binding. Additionally, parametric images of DV were computed (Logan plot).  Results: Image quality of [18F]Flubatine scans was clearly superior to 2-[18F]F-A85380, and a 20 minutes scan already adequate for visual analysis. All 29 regions were well described with one tissue compartment. PET data acquired over only 90 minutes were sufficient to estimate all kinetic parameters of all VOIs (30 minutes sufficient for modelling of all cortical VOIs respectively) precisely indicating a fast binding kinetic (much faster than for 2-[18F]F-A85380). DVs in HCs increase as expected with receptor density: Corpus callosum (DV: 5.32±0,66), temporal (8.92±0.45), posterior cingulate (9.03±0.55), pons (10.97±0.95), thalamus (24.92±3.56). The AD-patients showed significant BP reductions in distinct cortical regions (p<0.05) compared to HCs.  Conclusions: Due to significant shorter acquisition time, higher brain uptake, faster kinetics and superior image quality [18F]Flubatine appears to be a much more valuable tracer than 2-[18F]F-A85380 to image alpha4beta2-nAChRs in humans. Furthermore, full kinetic modelling (1-tissue compartment model) is accurately possible within 90 minutes in all VOIs, and within 30 minutes in all cortical VOIs. In keeping with its diagnostic properties, early AD-patients show declines of alpha4beta2-nAChRs in distinct cortical regions typically affected by AD-pathology. These results indicate that Flubatine-PET could have a great potential to be tested as a biomarker for early AD-diagnosis.
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000131877 536__ $$0G:(DE-Juel1)BMBF-01EZ0822$$aBMBF-01EZ0822 - NorChloro-Fluoro HomoEpiBatidin (NCFHEB)  ein potentieller Positronen-Emission Tomographie-(PET) Marker der frühen Alzheimer-Demenz (BMBF-01EZ0822)$$cBMBF-01EZ0822$$x1
000131877 7001_ $$0P:(DE-HGF)0$$aWilke, S$$b1
000131877 7001_ $$0P:(DE-HGF)0$$aGraef, S$$b2
000131877 7001_ $$0P:(DE-HGF)0$$aBecker, G$$b3
000131877 7001_ $$0P:(DE-HGF)0$$aHesse, S$$b4
000131877 7001_ $$0P:(DE-HGF)0$$aSattler, B$$b5
000131877 7001_ $$0P:(DE-HGF)0$$aSchoenknecht, P$$b6
000131877 7001_ $$0P:(DE-Juel1)133954$$aWagenknecht, Gudrun$$b7
000131877 7001_ $$0P:(DE-HGF)0$$aSmits, R$$b8
000131877 7001_ $$0P:(DE-HGF)0$$aHoepping, A$$b9
000131877 7001_ $$0P:(DE-HGF)0$$aSteinbach, J$$b10
000131877 7001_ $$0P:(DE-HGF)0$$aBrust, P$$b11
000131877 773__ $$0PERI:(DE-600)2039456-1$$a10.1038/jcbfm.2012.78$$pS.55 (P017)$$tJournal of cerebral blood flow & metabolism$$v32$$x1559-7016
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