Literature DB >> 21547601

Individualized quantification of brain β-amyloid burden: results of a proof of mechanism phase 0 florbetaben PET trial in patients with Alzheimer's disease and healthy controls.

Henryk Barthel1, Julia Luthardt, Georg Becker, Marianne Patt, Eva Hammerstein, Kristin Hartwig, Birk Eggers, Bernhard Sattler, Andreas Schildan, Swen Hesse, Philipp M Meyer, Henrike Wolf, Torsten Zimmermann, Joachim Reischl, Beate Rohde, Hermann-Josef Gertz, Cornelia Reininger, Osama Sabri.   

Abstract

PURPOSE: Complementing clinical findings with those generated by biomarkers--such as β-amyloid-targeted positron emission tomography (PET) imaging--has been proposed as a means of increasing overall accuracy in the diagnosis of Alzheimer's disease (AD). Florbetaben ([(18)F]BAY 94-9172) is a novel β-amyloid PET tracer currently in global clinical development. We present the results of a proof of mechanism study in which the diagnostic efficacy, pharmacokinetics, safety and tolerability of florbetaben were assessed. The value of various quantitative parameters derived from the PET scans as potential surrogate markers of cognitive decline was also investigated.
METHODS: Ten patients with mild-moderate probable AD (DSM-IV and NINCDS-ADRDA criteria) and ten age-matched (≥ 55 years) healthy controls (HCs) were administered a single dose of 300 MBq florbetaben, which contained a tracer mass dose of < 5 μg. The 70-90 min post-injection brain PET data were visually analysed by three blinded experts. Quantitative assessment was also performed via MRI-based, anatomical sampling of predefined volumes of interest (VOI) and subsequent calculation of standardized uptake value (SUV) ratios (SUVRs, cerebellar cortex as reference region). Furthermore, single-case, voxelwise analysis was used to calculate individual "whole brain β-amyloid load".
RESULTS: Visual analysis of the PET data revealed nine of the ten AD, but only one of the ten HC brains to be β-amyloid positive (p = 0.001), with high inter-reader agreement (weighted kappa ≥ 0.88). When compared to HCs, the neocortical SUVRs were significantly higher in the ADs (with descending order of effect size) in frontal cortex, lateral temporal cortex, occipital cortex, anterior and posterior cingulate cortices, and parietal cortex (p = 0.003-0.010). Voxel-based group comparison confirmed these differences. Amongst the PET-derived parameters, the Statistical Parametric Mapping-based whole brain β-amyloid load yielded the closest correlation with the Mini-Mental State Examination scores (r = -0.736, p < 0.001), following a nonlinear regression curve. No serious adverse events or other safety concerns were seen.
CONCLUSION: These results indicate florbetaben to be a safe and efficacious β-amyloid-targeted tracer with favourable brain kinetics. Subjects with AD could be easily differentiated from HCs by both visual and quantitative assessment of the PET data. The operator-independent, voxel-based analysis yielded whole brain β-amyloid load which appeared valuable as a surrogate marker of disease severity.

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Year:  2011        PMID: 21547601     DOI: 10.1007/s00259-011-1821-1

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  41 in total

1.  Simplified quantification of Pittsburgh Compound B amyloid imaging PET studies: a comparative analysis.

Authors:  Brian J Lopresti; William E Klunk; Chester A Mathis; Jessica A Hoge; Scott K Ziolko; Xueling Lu; Carolyn C Meltzer; Kurt Schimmel; Nicholas D Tsopelas; Steven T DeKosky; Julie C Price
Journal:  J Nucl Med       Date:  2005-12       Impact factor: 10.057

2.  F-18 Polyethyleneglycol stilbenes as PET imaging agents targeting Abeta aggregates in the brain.

Authors:  Wei Zhang; Shunichi Oya; Mei-Ping Kung; Catherine Hou; Donna L Maier; Hank F Kung
Journal:  Nucl Med Biol       Date:  2005-11       Impact factor: 2.408

3.  11C-PiB PET assessment of change in fibrillar amyloid-beta load in patients with Alzheimer's disease treated with bapineuzumab: a phase 2, double-blind, placebo-controlled, ascending-dose study.

Authors:  Juha O Rinne; David J Brooks; Martin N Rossor; Nick C Fox; Roger Bullock; William E Klunk; Chester A Mathis; Kaj Blennow; Jerome Barakos; Aren A Okello; Sofia Rodriguez Martinez de Liano; Enchi Liu; Martin Koller; Keith M Gregg; Dale Schenk; Ronald Black; Michael Grundman
Journal:  Lancet Neurol       Date:  2010-02-26       Impact factor: 44.182

4.  Imaging central nervous system myelin by positron emission tomography in multiple sclerosis using [methyl-¹¹C]-2-(4'-methylaminophenyl)- 6-hydroxybenzothiazole.

Authors:  Bruno Stankoff; Leorah Freeman; Marie-Stéphane Aigrot; Audrey Chardain; Frédéric Dollé; Anna Williams; Damien Galanaud; Lucie Armand; Stéphane Lehericy; Catherine Lubetzki; Bernard Zalc; Michel Bottlaender
Journal:  Ann Neurol       Date:  2011-02-18       Impact factor: 10.422

5.  Cognition, glucose metabolism and amyloid burden in Alzheimer's disease.

Authors:  Ansgar J Furst; Gil D Rabinovici; Ara H Rostomian; Tyler Steed; Adi Alkalay; Caroline Racine; Bruce L Miller; William J Jagust
Journal:  Neurobiol Aging       Date:  2010-04-24       Impact factor: 4.673

6.  Beta-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer's disease.

Authors:  Kerryn E Pike; Greg Savage; Victor L Villemagne; Steven Ng; Simon A Moss; Paul Maruff; Chester A Mathis; William E Klunk; Colin L Masters; Christopher C Rowe
Journal:  Brain       Date:  2007-10-10       Impact factor: 13.501

Review 7.  Monitoring the amyloid beta-peptide in vivo--caveat emptor.

Authors:  Paul W Thompson; Andrew Lockhart
Journal:  Drug Discov Today       Date:  2009-01-20       Impact factor: 7.851

8.  Effect of APOE genotype on amyloid plaque load and gray matter volume in Alzheimer disease.

Authors:  A Drzezga; T Grimmer; G Henriksen; M Mühlau; R Perneczky; I Miederer; C Praus; C Sorg; A Wohlschläger; M Riemenschneider; H J Wester; H Foerstl; M Schwaiger; A Kurz
Journal:  Neurology       Date:  2009-04-01       Impact factor: 9.910

9.  Follow-up of [11C]PIB uptake and brain volume in patients with Alzheimer disease and controls.

Authors:  N M Scheinin; S Aalto; J Koikkalainen; J Lötjönen; M Karrasch; N Kemppainen; M Viitanen; K Någren; S Helin; M Scheinin; J O Rinne
Journal:  Neurology       Date:  2009-09-02       Impact factor: 9.910

10.  Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium.

Authors:  L A Farrer; L A Cupples; J L Haines; B Hyman; W A Kukull; R Mayeux; R H Myers; M A Pericak-Vance; N Risch; C M van Duijn
Journal:  JAMA       Date:  1997 Oct 22-29       Impact factor: 56.272

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  38 in total

1.  Amyloid-β imaging with PET in Alzheimer's disease: is it feasible with current radiotracers and technologies?

Authors:  Mateen C Moghbel; Babak Saboury; Sandip Basu; Scott D Metzler; Drew A Torigian; Bengt Långström; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-02       Impact factor: 9.236

Review 2.  [(18)F]Florbetaben: a review in β-amyloid PET imaging in cognitive impairment.

Authors:  Yahiya Y Syed; Emma Deeks
Journal:  CNS Drugs       Date:  2015-07       Impact factor: 5.749

Review 3.  From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies.

Authors:  Zhaolin Chen; Sharna D Jamadar; Shenpeng Li; Francesco Sforazzini; Jakub Baran; Nicholas Ferris; Nadim Jon Shah; Gary F Egan
Journal:  Hum Brain Mapp       Date:  2018-08-04       Impact factor: 5.038

Review 4.  Biomarkers for the Early Detection and Progression of Alzheimer's Disease.

Authors:  Scott E Counts; Milos D Ikonomovic; Natosha Mercado; Irving E Vega; Elliott J Mufson
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

Review 5.  Molecular imaging of Alzheimer disease pathology.

Authors:  K Kantarci
Journal:  AJNR Am J Neuroradiol       Date:  2014-02-06       Impact factor: 3.825

6.  Structure-Activity Relationships and in Vivo Evaluation of Quinoxaline Derivatives for PET Imaging of β-Amyloid Plaques.

Authors:  Masashi Yoshimura; Masahiro Ono; Kenji Matsumura; Hiroyuki Watanabe; Hiroyuki Kimura; Mengchao Cui; Yuji Nakamoto; Kaori Togashi; Yoko Okamoto; Masafumi Ihara; Ryosuke Takahashi; Hideo Saji
Journal:  ACS Med Chem Lett       Date:  2013-05-21       Impact factor: 4.345

7.  Head to head comparison of [18F] AV-1451 and [18F] THK5351 for tau imaging in Alzheimer's disease and frontotemporal dementia.

Authors:  Young Kyoung Jang; Chul Hyoung Lyoo; Seongbeom Park; Seung Jun Oh; Hanna Cho; Minyoung Oh; Young Hoon Ryu; Jae Yong Choi; Gil D Rabinovici; Hee Jin Kim; Seung Hwan Moon; Hyemin Jang; Jin San Lee; William J Jagust; Duk L Na; Jae Seung Kim; Sang Won Seo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-11-16       Impact factor: 9.236

8.  Use of Standardized Uptake Value Ratios Decreases Interreader Variability of [18F] Florbetapir PET Brain Scan Interpretation.

Authors:  A P Nayate; J G Dubroff; J E Schmitt; I Nasrallah; R Kishore; D Mankoff; D A Pryma
Journal:  AJNR Am J Neuroradiol       Date:  2015-03-12       Impact factor: 3.825

Review 9.  Amyloid Imaging: Poised for Integration into Medical Practice.

Authors:  Keshav Anand; Marwan Sabbagh
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

Review 10.  Using Pittsburgh Compound B for in vivo PET imaging of fibrillar amyloid-beta.

Authors:  Ann D Cohen; Gil D Rabinovici; Chester A Mathis; William J Jagust; William E Klunk; Milos D Ikonomovic
Journal:  Adv Pharmacol       Date:  2012
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