Title |
[18F]F-DED PET imaging of reactive astrogliosis in neurodegenerative diseases: preclinical proof of concept and first-in-human data
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Published in |
Journal of Neuroinflammation, March 2023
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DOI | 10.1186/s12974-023-02749-2 |
Pubmed ID | |
Authors |
Anna Ballweg, Carolin Klaus, Letizia Vogler, Sabrina Katzdobler, Karin Wind, Artem Zatcepin, Sibylle I. Ziegler, Birkan Secgin, Florian Eckenweber, Bernd Bohr, Alexander Bernhardt, Urban Fietzek, Boris-Stephan Rauchmann, Sophia Stoecklein, Stefanie Quach, Leonie Beyer, Maximilian Scheifele, Marcel Simmet, Emanuel Joseph, Simon Lindner, Isabella Berg, Norman Koglin, Andre Mueller, Andrew W. Stephens, Peter Bartenstein, Joerg C. Tonn, Nathalie L. Albert, Tania Kümpfel, Martin Kerschensteiner, Robert Perneczky, Johannes Levin, Lars Paeger, Jochen Herms, Matthias Brendel |
Abstract |
Reactive gliosis is a common pathological hallmark of CNS pathology resulting from neurodegeneration and neuroinflammation. In this study we investigate the capability of a novel monoamine oxidase B (MAO-B) PET ligand to monitor reactive astrogliosis in a transgenic mouse model of Alzheimer`s disease (AD). Furthermore, we performed a pilot study in patients with a range of neurodegenerative and neuroinflammatory conditions. A cross-sectional cohort of 24 transgenic (PS2APP) and 25 wild-type mice (age range: 4.3-21.0 months) underwent 60 min dynamic [18F]fluorodeprenyl-D2 ([18F]F-DED), static 18 kDa translocator protein (TSPO, [18F]GE-180) and β-amyloid ([18F]florbetaben) PET imaging. Quantification was performed via image derived input function (IDIF, cardiac input), simplified non-invasive reference tissue modelling (SRTM2, DVR) and late-phase standardized uptake value ratios (SUVr). Immunohistochemical (IHC) analyses of glial fibrillary acidic protein (GFAP) and MAO-B were performed to validate PET imaging by gold standard assessments. Patients belonging to the Alzheimer's disease continuum (AD, n = 2), Parkinson's disease (PD, n = 2), multiple system atrophy (MSA, n = 2), autoimmune encephalitis (n = 1), oligodendroglioma (n = 1) and one healthy control underwent 60 min dynamic [18F]F-DED PET and the data were analyzed using equivalent quantification strategies. We selected the cerebellum as a pseudo-reference region based on the immunohistochemical comparison of age-matched PS2APP and WT mice. Subsequent PET imaging revealed that PS2APP mice showed elevated hippocampal and thalamic [18F]F-DED DVR when compared to age-matched WT mice at 5 months (thalamus: + 4.3%; p = 0.048), 13 months (hippocampus: + 7.6%, p = 0.022) and 19 months (hippocampus: + 12.3%, p < 0.0001; thalamus: + 15.2%, p < 0.0001). Specific [18F]F-DED DVR increases of PS2APP mice occurred earlier when compared to signal alterations in TSPO and β-amyloid PET and [18F]F-DED DVR correlated with quantitative immunohistochemistry (hippocampus: R = 0.720, p < 0.001; thalamus: R = 0.727, p = 0.002). Preliminary experience in patients showed [18F]F-DED VT and SUVr patterns, matching the expected topology of reactive astrogliosis in neurodegenerative (MSA) and neuroinflammatory conditions, whereas the patient with oligodendroglioma and the healthy control indicated [18F]F-DED binding following the known physiological MAO-B expression in brain. [18F]F-DED PET imaging is a promising approach to assess reactive astrogliosis in AD mouse models and patients with neurological diseases. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 27% |
Brazil | 1 | 9% |
Switzerland | 1 | 9% |
Spain | 1 | 9% |
United Kingdom | 1 | 9% |
Germany | 1 | 9% |
Unknown | 3 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 64% |
Practitioners (doctors, other healthcare professionals) | 2 | 18% |
Members of the public | 1 | 9% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 17% |
Unspecified | 2 | 9% |
Student > Doctoral Student | 1 | 4% |
Lecturer | 1 | 4% |
Student > Ph. D. Student | 1 | 4% |
Other | 1 | 4% |
Unknown | 13 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 5 | 22% |
Unspecified | 2 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 9% |
Chemical Engineering | 1 | 4% |
Unknown | 13 | 57% |