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Sandhu YK, Bath HS, Shergill J, Liang C, Syed AU, Ngo A, Karim F, Serrano GE, Beach TG, Mukherjee J. [ 18F]Flotaza for Aβ Plaque Diagnostic Imaging: Evaluation in Postmortem Human Alzheimer's Disease Brain Hippocampus and PET/CT Imaging in 5xFAD Transgenic Mice. Int J Mol Sci 2024; 25:7890. [PMID: 39063132 PMCID: PMC11277463 DOI: 10.3390/ijms25147890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Revised: 07/10/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024] Open
Abstract
The diagnostic value of imaging Aβ plaques in Alzheimer's disease (AD) has accelerated the development of fluorine-18 labeled radiotracers with a longer half-life for easier translation to clinical use. We have developed [18F]flotaza, which shows high binding to Aβ plaques in postmortem human AD brain slices with low white matter binding. We report the binding of [18F]flotaza in postmortem AD hippocampus compared to cognitively normal (CN) brains and the evaluation of [18F]flotaza in transgenic 5xFAD mice expressing Aβ plaques. [18F]Flotaza binding was assessed in well-characterized human postmortem brain tissue sections consisting of HP CA1-subiculum (HP CA1-SUB) regions in AD (n = 28; 13 male and 15 female) and CN subjects (n = 32; 16 male and 16 female). Adjacent slices were immunostained with anti-Aβ and analyzed using QuPath. In vitro and in vivo [18F]flotaza PET/CT studies were carried out in 5xFAD mice. Post-mortem human brain slices from all AD subjects were positively IHC stained with anti-Aβ. High [18F]flotaza binding was measured in the HP CA1-SUB grey matter (GM) regions compared to white matter (WM) of AD subjects with GM/WM > 100 in some subjects. The majority of CN subjects had no decipherable binding. Male AD exhibited greater WM than AD females (AD WM♂/WM♀ > 5; p < 0.001) but no difference amongst CN WM. In vitro studies in 5xFAD mice brain slices exhibited high binding [18F]flotaza ratios (>50 versus cerebellum) in the cortex, HP, and thalamus. In vivo, PET [18F]flotaza exhibited binding to Aβ plaques in 5xFAD mice with SUVR~1.4. [18F]Flotaza is a new Aβ plaque PET imaging agent that exhibited high binding to Aβ plaques in postmortem human AD. Along with the promising results in 5xFAD mice, the translation of [18F]flotaza to human PET studies may be worthwhile.
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Affiliation(s)
- Yasmin K. Sandhu
- Preclinical Imaging, Department of Radiological Sciences, University of California-Irvine, Irvine, CA 92697, USA; (Y.K.S.); (H.S.B.); (J.S.); (C.L.); (A.U.S.); (A.N.); (F.K.)
| | - Harman S. Bath
- Preclinical Imaging, Department of Radiological Sciences, University of California-Irvine, Irvine, CA 92697, USA; (Y.K.S.); (H.S.B.); (J.S.); (C.L.); (A.U.S.); (A.N.); (F.K.)
| | - Jasmine Shergill
- Preclinical Imaging, Department of Radiological Sciences, University of California-Irvine, Irvine, CA 92697, USA; (Y.K.S.); (H.S.B.); (J.S.); (C.L.); (A.U.S.); (A.N.); (F.K.)
| | - Christopher Liang
- Preclinical Imaging, Department of Radiological Sciences, University of California-Irvine, Irvine, CA 92697, USA; (Y.K.S.); (H.S.B.); (J.S.); (C.L.); (A.U.S.); (A.N.); (F.K.)
| | - Amina U. Syed
- Preclinical Imaging, Department of Radiological Sciences, University of California-Irvine, Irvine, CA 92697, USA; (Y.K.S.); (H.S.B.); (J.S.); (C.L.); (A.U.S.); (A.N.); (F.K.)
| | - Allyson Ngo
- Preclinical Imaging, Department of Radiological Sciences, University of California-Irvine, Irvine, CA 92697, USA; (Y.K.S.); (H.S.B.); (J.S.); (C.L.); (A.U.S.); (A.N.); (F.K.)
| | - Fariha Karim
- Preclinical Imaging, Department of Radiological Sciences, University of California-Irvine, Irvine, CA 92697, USA; (Y.K.S.); (H.S.B.); (J.S.); (C.L.); (A.U.S.); (A.N.); (F.K.)
| | - Geidy E. Serrano
- Banner Sun Health Research Institute, Sun City, AZ 85351, USA; (G.E.S.); (T.G.B.)
| | - Thomas G. Beach
- Banner Sun Health Research Institute, Sun City, AZ 85351, USA; (G.E.S.); (T.G.B.)
| | - Jogeshwar Mukherjee
- Preclinical Imaging, Department of Radiological Sciences, University of California-Irvine, Irvine, CA 92697, USA; (Y.K.S.); (H.S.B.); (J.S.); (C.L.); (A.U.S.); (A.N.); (F.K.)
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Bartos LM, Kirchleitner SV, Blobner J, Wind K, Kunze LH, Holzgreve A, Gold L, Zatcepin A, Kolabas ZI, Ulukaya S, Weidner L, Quach S, Messerer D, Bartenstein P, Tonn JC, Riemenschneider MJ, Ziegler S, von Baumgarten L, Albert NL, Brendel M. 18 kDa translocator protein positron emission tomography facilitates early and robust tumor detection in the immunocompetent SB28 glioblastoma mouse model. Front Med (Lausanne) 2022; 9:992993. [PMID: 36325388 PMCID: PMC9621314 DOI: 10.3389/fmed.2022.992993] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 09/02/2022] [Indexed: 10/29/2023] Open
Abstract
INTRODUCTION The 18 kDa translocator protein (TSPO) receives growing interest as a biomarker in glioblastoma. Mouse models can serve as an important tool for the investigation of biomarkers in glioblastoma, but several glioblastoma models indicated only low TSPO-PET signals in contrast to high TSPO-PET signals of human glioblastoma. Thus, we aimed to investigate TSPO-PET imaging in the syngeneic immunocompetent SB28 mouse model, which is thought to closely represent the tumor microenvironment (TME) of human glioblastoma. METHODS Dynamic TSPO-PET/CT imaging was performed for 60 min after injection of 13.6 ± 4.2 MBq [18F]GE-180. Contrast enhanced CT (ceCT) was acquired prior to PET and served for assessment of tumor volumes and attenuation correction. SB28 and sham mice were imaged at an early (week-1; n = 6 SB28, n = 6 sham) and a late time-point (week-3; n = 8 SB28, n = 9 sham) after inoculation. Standard of truth ex vivo tumor volumes were obtained for SB28 mice at the late time-point. Tracer kinetics were analyzed for the lesion site and the carotid arteries to establish an image derived input function (IDIF). TSPO-PET and ceCT lesion volumes were compared with ex vivo volumes by calculation of root-mean-square-errors (RMSE). Volumes of distribution (VTmax/mean) in the lesion were calculated using carotid IDIF and standardized uptake values (SUVmax/mean) were obtained for a 40-60 min time frame. RESULTS Higher uptake rate constants (K1) were observed for week-1 SB28 tumor lesions when compared to week-3 SB28 tumor lesions. Highest agreement between TSPO-PET lesion volumes and ex vivo tumor volumes was achieved with a 50% maximum threshold (RMSE-VT: 39.7%; RMSE-SUV: 34.4%), similar to the agreement of ceCT tumor volumes (RMSE: 30.1%). Lesions of SB28 mice had higher PET signal when compared to sham mice at week-1 (VTmax 6.6 ± 2.9 vs. 3.9 ± 0.8, p = 0.035; SUVmax 2.3 ± 0.5 vs. 1.2 ± 0.1, p < 0.001) and PET signals remained at a similar level at week-3 (VTmax 5.0 ± 1.6 vs. 2.7 ± 0.8, p = 0.029; SUVmax 1.9 ± 0.5 vs. 1.2 ± 0.2, p = 0.0012). VTmax correlated with SUVmax (R 2 = 0.532, p < 0.001). CONCLUSION TSPO-PET imaging of immunocompetent SB28 mice facilitates early detection of tumor signals over sham lesions. SB28 tumors mirror high TSPO-PET signals of human glioblastoma and could serve as a valuable translational model to study TSPO as an imaging biomarker.
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Affiliation(s)
- Laura M. Bartos
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | | | - Jens Blobner
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Karin Wind
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Lea H. Kunze
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Lukas Gold
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Artem Zatcepin
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Zeynep Ilgin Kolabas
- Helmholtz Center, Institute for Tissue Engineering and Regenerative Medicine (iTERM), Munich, Germany
- Institute for Stroke and Dementia Research, University Hospital of Munich, Ludwig- Maximilians University Munich, Munich, Germany
- Graduate School of Systemic Neurosciences (GSN), Munich, Germany
| | - Selin Ulukaya
- Helmholtz Center, Institute for Tissue Engineering and Regenerative Medicine (iTERM), Munich, Germany
- Faculty of Biology, Master of Science Program in Molecular and Cellular Biology, Ludwig-Maximilians-Universität München, Planegg, Germany
| | - Lorraine Weidner
- Department of Neuropathology, Regensburg University Hospital, Regensburg, Germany
| | - Stefanie Quach
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Denise Messerer
- Department of Cardiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- SyNergy, University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Joerg C. Tonn
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Sibylle Ziegler
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Louisa von Baumgarten
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nathalie L. Albert
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- SyNergy, University of Munich, Munich, Germany
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
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Impact of Partial Volume Correction on [18F]GE-180 PET Quantification in Subcortical Brain Regions of Patients with Corticobasal Syndrome. Brain Sci 2022; 12:brainsci12020204. [PMID: 35203967 PMCID: PMC8870519 DOI: 10.3390/brainsci12020204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/25/2022] [Accepted: 01/28/2022] [Indexed: 12/10/2022] Open
Abstract
Corticobasal syndrome (CBS) is a rare neurodegenerative condition characterized by four-repeat tau aggregation in the cortical and subcortical brain regions and accompanied by severe atrophy. The aim of this study was to evaluate partial volume effect correction (PVEC) in patients with CBS compared to a control cohort imaged with the 18-kDa translocator protein (TSPO) positron emission tomography (PET) tracer [18F]GE-180. Eighteen patients with CBS and 12 age- and sex-matched healthy controls underwent [18F]GE-180 PET. The cortical and subcortical regions were delineated by deep nuclei parcellation (DNP) of a 3D-T1 MRI. Region-specific subcortical volumes and standardized uptake values and ratios (SUV and SUVr) were extracted before and after region-based voxel-wise PVEC. Regional volumes were compared between patients with CBS and controls. The % group differences and effect sizes (CBS vs. controls) of uncorrected and PVE-corrected SUVr data were compared. Single-region positivity in patients with CBS was assessed by a >2 SD threshold vs. controls and compared between uncorrected and PVE-corrected data. Smaller regional volumes were detected in patients with CBS compared to controls in the right ventral striatum (p = 0.041), the left putamen (p = 0.005), the right putamen (p = 0.038) and the left pallidum (p = 0.015). After applying PVEC, the % group differences were distinctly higher, but the effect sizes of TSPO uptake were only slightly stronger due to the higher variance after PVEC. The single-region positivity of TSPO PET increased in patients with CBS after PVEC (100 vs. 83 regions). PVEC in the cortical and subcortical regions is valuable for TSPO imaging of patients with CBS, leading to the improved detection of elevated [18F]GE-180 uptake, although the effect sizes in the comparison against the controls did not improve strongly.
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Willuweit A, Schöneck M, Schemmert S, Lohmann P, Bremen S, Honold D, Burda N, Jiang N, Beer S, Ermert J, Willbold D, Shah NJ, Langen KJ. Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer's Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography. Front Neurosci 2021; 15:699926. [PMID: 34671235 PMCID: PMC8520975 DOI: 10.3389/fnins.2021.699926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 09/03/2021] [Indexed: 11/13/2022] Open
Abstract
Alzheimer's disease (AD) is characterized by formation of amyloid plaques and neurofibrillary tangles in the brain, which can be mimicked by transgenic mouse models. Here, we report on the characterization of amyloid load in the brains of two transgenic amyloidosis models using positron emission tomography (PET) with florbetaben (FBB), an 18F-labeled amyloid PET tracer routinely used in AD patients. Young, middle-aged, and old homozygous APP/PS1 mice (ARTE10), old hemizygous APPswe/PS1ΔE9, and old wild-type control mice were subjected to FBB PET using a small animal PET/computed tomography scanner. After PET, brains were excised, and ex vivo autoradiography was performed. Plaque pathology was verified on brain sections with histological methods. Amyloid plaque load increased progressively with age in the cortex and hippocampus of ARTE10 mice, which could be detected with both in vivo FBB PET and ex vivo autoradiography. FBB retention showed significant differences to wild-type controls already at 9 months of age by both in vivo and ex vivo analyses. An excellent correlation between data derived from PET and autoradiography could be obtained (r Pearson = 0.947, p < 0.0001). Although amyloid load detected by FBB in the brains of old APPswe/PS1ΔE9 mice was as low as values obtained with young ARTE10 mice, statistically significant discrimination to wild-type animals was reached (p < 0.01). In comparison to amyloid burden quantified by histological analysis, FBB retention correlated best with total plaque load and number of congophilic plaques in the brains of both mouse models. In conclusion, the homozygous ARTE10 mouse model showed superior properties over APPswe/PS1ΔE9 mice for FBB small animal amyloid PET imaging. The absolute amount of congophilic dense-cored plaques seems to be the decisive factor for feasibility of amyloidosis models for amyloid PET analysis.
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Affiliation(s)
- Antje Willuweit
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Michael Schöneck
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Sarah Schemmert
- Institute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany.,Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Saskia Bremen
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Dominik Honold
- Institute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, Germany
| | - Nicole Burda
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Nan Jiang
- Institute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, Germany
| | - Simone Beer
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Johannes Ermert
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Dieter Willbold
- Institute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, Germany.,Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany.,JARA-Brain-Translational Medicine, Aachen, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany.,Department of Nuclear Medicine, RWTH Aachen University, Aachen, Germany
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Willroider M, Roeber S, Horn AKE, Arzberger T, Scheifele M, Respondek G, Sabri O, Barthel H, Patt M, Mishchenko O, Schildan A, Mueller A, Koglin N, Stephens A, Levin J, Höglinger GU, Bartenstein P, Herms J, Brendel M, Beyer L. Superiority of Formalin-Fixed Paraffin-Embedded Brain Tissue for in vitro Assessment of Progressive Supranuclear Palsy Tau Pathology With [ 18 F]PI-2620. Front Neurol 2021; 12:684523. [PMID: 34276540 PMCID: PMC8282895 DOI: 10.3389/fneur.2021.684523] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 05/25/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: Autoradiography on brain tissue is used to validate binding targets of newly discovered radiotracers. The purpose of this study was to correlate quantification of autoradiography signal using the novel next-generation tau positron emission tomography (PET) radiotracer [18F]PI-2620 with immunohistochemically determined tau-protein load in both formalin-fixed paraffin-embedded (FFPE) and frozen tissue samples of patients with Alzheimer's disease (AD) and Progressive Supranuclear Palsy (PSP). Methods: We applied [18F]PI-2620 autoradiography to postmortem cortical brain samples of six patients with AD, five patients with PSP and five healthy controls, respectively. Binding intensity was compared between both tissue types and different disease entities. Autoradiography signal quantification (CWMR = cortex to white matter ratio) was correlated with the immunohistochemically assessed tau load (AT8-staining, %-area) for FFPE and frozen tissue samples in the different disease entities. Results: In AD tissue, relative cortical tracer binding was higher in frozen samples when compared to FFPE samples (CWMRfrozen vs. CWMRFFPE: 2.5-fold, p < 0.001), whereas the opposite was observed in PSP tissue (CWMRfrozen vs. CWMRFFPE: 0.8-fold, p = 0.004). In FFPE samples, [18F]PI-2620 autoradiography tracer binding and immunohistochemical tau load correlated significantly for both PSP (R = 0.641, p < 0.001) and AD tissue (R = 0.435, p = 0.016), indicating a high agreement of relative tracer binding with underlying pathology. In frozen tissue, the correlation between autoradiography and immunohistochemistry was only present in AD (R = 0.417, p = 0.014) but not in PSP tissue (R = -0.115, p = n.s.). Conclusion: Our head-to-head comparison indicates that FFPE samples show superiority over frozen samples for autoradiography assessment of PSP tau pathology by [18F]PI-2620. The [18F]PI-2620 autoradiography signal in FFPE samples reflects AT8 positive tau in samples of both PSP and AD patients.
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Affiliation(s)
- Marie Willroider
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Sigrun Roeber
- Center for Neuropathology and Prion Research, LMU Munich, Munich, Germany
| | - Anja K E Horn
- Institute of Anatomy and Cell Biology, LMU Munich, Munich, Germany
| | - Thomas Arzberger
- Center for Neuropathology and Prion Research, LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Maximilian Scheifele
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Gesine Respondek
- Department of Neurology, Hannover Medical School, Hanover, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Marianne Patt
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Olena Mishchenko
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Andreas Schildan
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | | | | | | | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, University Hospital Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, Hannover Medical School, Hanover, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Department of Neurology, Technical University Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Jochen Herms
- Center for Neuropathology and Prion Research, LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,Center for Neuropathology and Prion Research, LMU Munich, Munich, Germany
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Longitudinal translocator protein-18 kDa-positron emission tomography imaging of peripheral and central myeloid cells in a mouse model of complex regional pain syndrome. Pain 2020; 160:2136-2148. [PMID: 31095093 PMCID: PMC6527343 DOI: 10.1097/j.pain.0000000000001607] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Supplemental Digital Content is Available in the Text. Longitudinal positron emission tomography of translocator protein-18 kDa revealed early central, and persistent peripheral, myeloid activation in a mouse tibial fracture model of complex regional pain syndrome. Complex regional pain syndrome (CRPS) is a severely disabling disease characterized by pain, temperature changes, motor dysfunction, and edema that most often occurs as an atypical response to a minor surgery or fracture. Inflammation involving activation and recruitment of innate immune cells, including both peripheral and central myeloid cells (ie, macrophages and microglia, respectively), is a key feature of CRPS. However, the exact role and time course of these cellular processes relative to the known acute and chronic phases of the disease are not fully understood. Positron emission tomography (PET) of translocator protein-18 kDa (TSPO) is a method for noninvasively tracking these activated innate immune cells. Here, we reveal the temporal dynamics of peripheral and central inflammatory responses over 20 weeks in a tibial fracture/casting mouse model of CRPS through longitudinal TSPO-PET using [18F]GE-180. Positron emission tomography tracer uptake quantification in the tibia revealed increased peripheral inflammation as early as 2 days after fracture and lasting 7 weeks. Centralized inflammation was detected in the spinal cord and brain of fractured mice at 7 and 21 days after injury. Spinal cord tissue immunofluorescent staining revealed TSPO expression in microglia (CD11b+) at 7 days but was restricted mainly to endothelial cells (PECAM1+) at baseline and 7 weeks. Our data suggest early and persistent peripheral myeloid cell activation and transient central microglial activation are limited to the acute phase of CRPS. Moreover, we show that TSPO-PET can be used to noninvasively monitor the spatiotemporal dynamics of myeloid cell activation in CRPS progression with potential to inform disease phase–specific therapeutics.
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Sisante JFV, Vidoni ED, Kirkendoll K, Ward J, Liu Y, Kwapiszeski S, Maletsky R, Burns JM, Billinger SA. Blunted cerebrovascular response is associated with elevated beta-amyloid. J Cereb Blood Flow Metab 2019; 39:89-96. [PMID: 28914134 PMCID: PMC6311677 DOI: 10.1177/0271678x17732449] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The goal of this study was to explore the association of beta-amyloid accumulation and cerebrovascular response (CVR) in cognitively normal older adults. Beta-amyloid accumulation was characterized with [18F] Florbetapir positron emission tomography scans. CVR was calculated as middle cerebral artery blood flow velocity change from rest to moderate intensity exercise. We found that individuals with elevated beta-amyloid aggregation had a blunted CVR ( n = 25, age 70.1 ± 4.8; 3.3 ± 3.7 cm/s) compared to non-elevated individuals ( n = 45, age 72.0 ± 4.9; 7.2 ± 5.0 cm/s, p < 0.001). Further, greater beta-amyloid burden was linearly associated with less CVR across all participants (b = -11.7, p < 0.001). Greater CVR and less beta-amyloid burden were associated with processing speed ( p < 0.05). This study is the first to show that CVR from rest to exercise is blunted across increased global beta-amyloid burden.
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Affiliation(s)
- Jason-Flor V Sisante
- 1 Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Eric D Vidoni
- 2 University of Kansas Alzheimer's Disease Center, Fairway, KS, USA
| | - Kiersten Kirkendoll
- 1 Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jaimie Ward
- 1 Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Yumei Liu
- 1 Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Sarah Kwapiszeski
- 1 Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, USA
| | | | - Jeffrey M Burns
- 2 University of Kansas Alzheimer's Disease Center, Fairway, KS, USA
| | - Sandra A Billinger
- 1 Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, USA
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Data on specificity of [ 18F]GE180 uptake for TSPO expression in rodent brain and myocardium. Data Brief 2018; 19:331-336. [PMID: 29892655 PMCID: PMC5992977 DOI: 10.1016/j.dib.2018.04.133] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 01/19/2018] [Accepted: 04/30/2018] [Indexed: 12/03/2022] Open
Abstract
Data in this article show radioligand uptake (to gamma counter and positron-emission-tomography) as well as polymerase chain reaction analyses of 18 kDa translocator protein (TSPO) quantification. We confirmed specificity of [18F]GE180 binding of rodent brain and myocardium by blocking experiments with prior application of non-radioactive GE180, using dynamic in vivo positron-emission-tomography and ex vivo gamma counter measurements. Expression of TSPO was compared between rodent brain and myocardium by quantitative polymerase chain reaction.
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Applicability of [ 11C]PIB micro-PET imaging for in vivo follow-up of anti-amyloid treatment effects in APP23 mouse model. Neurobiol Aging 2017; 57:84-94. [PMID: 28605642 DOI: 10.1016/j.neurobiolaging.2017.05.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 04/27/2017] [Accepted: 05/07/2017] [Indexed: 11/22/2022]
Abstract
In this study, we evaluated the anti-amyloid effect of functionalized nanoliposomes (mApoE-PA-LIP) in a mouse model of Alzheimer's disease with use of positron emission tomography and β-amyloid (Aβ)-targeted tracer [11C]Pittsburgh compound B ([11C]PIB). APP23 mice were injected with mApoE-PA-LIP or saline (3 times per week for 3 weeks) and [11C]PIB imaging was performed at baseline, after the treatment and after 3 months follow-up period, accompanied by Aβ immunohistochemistry and ELISA. After the treatment, [11C]PIB binding ratios between mApoE-PA-LIP and saline groups were equivalent in all analyzed brain regions; however, in the saline group, binding ratios increased from the baseline, whereas no increase was detected in the mApoE-PA-LIP group. During the additional follow-up, [11C]PIB binding increased significantly from baseline in both groups, and binding ratios correlated with the immunohistochemically defined Aβ load. This study further supports the use of [11C]PIB positron emission tomography imaging as a biomarker of Aβ deposition in APP23 mice and highlights the benefits of noninvasive follow-up, that is, using baseline data for animal stratification and normalization of treatment effects to baseline values, for future anti-amyloid treatment studies.
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10
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Schwarz CG, Jones DT, Gunter JL, Lowe VJ, Vemuri P, Senjem ML, Petersen RC, Knopman DS, Jack CR. Contributions of imprecision in PET-MRI rigid registration to imprecision in amyloid PET SUVR measurements. Hum Brain Mapp 2017; 38:3323-3336. [PMID: 28432784 PMCID: PMC5518286 DOI: 10.1002/hbm.23622] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 04/06/2017] [Accepted: 04/09/2017] [Indexed: 11/05/2022] Open
Abstract
Quantitative measurement of β-amyloid from amyloid PET scans typically relies on localizing target and reference regions by image registration to MRI. In this work, we present a series of simulations where 50 small random perturbations of starting location and orientation were applied to each subject's PET scan, and rigid registration using spm_coreg was performed between each perturbed PET scan and its corresponding MRI. We then measured variation in the output PET-MRI registrations and how this variation affected the resulting SUVR measurements. We performed these experiments using scans of 1196 participants, half using 18F florbetapir and half using 11C PiB. From these experiments, we measured the magnitude of the imprecision in the rigid registration steps used to localize measurement regions, and how this contributes to the overall imprecision in SUVR measurements. Unexpectedly, we found for both tracers that the imprecision in these measurements depends on the degree of amyloid tracer uptake, and thus also indirectly on Alzheimer's disease clinical status. We then examined common choices of reference regions, and we show that SUVR measurements using supratentorial white matter references are relatively resistant to this source of error. We also show that the use of partial volume correction further magnifies the effects of registration imprecision on SUVR measurements. Together, these results suggest that this rigid registration step is an attractive target for future work in improving measurement techniques. Hum Brain Mapp 38:3323-3336, 2017. © 2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
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Affiliation(s)
| | - David T Jones
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Jeffrey L Gunter
- Department of Radiology, Mayo Clinic and Foundation, Rochester, Minnesota.,Department of Information Technology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Val J Lowe
- Department of Radiology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Prashanthi Vemuri
- Department of Radiology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Matthew L Senjem
- Department of Radiology, Mayo Clinic and Foundation, Rochester, Minnesota.,Department of Information Technology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Ronald C Petersen
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - David S Knopman
- Department of Neurology, Mayo Clinic and Foundation, Rochester, Minnesota
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic and Foundation, Rochester, Minnesota
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11
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Gonzalez-Escamilla G, Lange C, Teipel S, Buchert R, Grothe MJ. PETPVE12: an SPM toolbox for Partial Volume Effects correction in brain PET - Application to amyloid imaging with AV45-PET. Neuroimage 2016; 147:669-677. [PMID: 28039094 DOI: 10.1016/j.neuroimage.2016.12.077] [Citation(s) in RCA: 125] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 12/23/2016] [Accepted: 12/27/2016] [Indexed: 12/15/2022] Open
Abstract
Positron emission tomography (PET) allows detecting molecular brain changes in vivo. However, the accuracy of PET is limited by partial volume effects (PVE) that affects quantitative analysis and visual interpretation of the images. Although PVE-correction methods have been shown to effectively increase the correspondence of the measured signal with the true regional tracer uptake, these procedures are still not commonly applied, neither in clinical nor in research settings. Here, we present an implementation of well validated PVE-correction procedures as a SPM toolbox, PETPVE12, for automated processing. We demonstrate its utility by a comprehensive analysis of the effects of PVE-correction on amyloid-sensitive AV45-PET data from 85 patients with Alzheimer's disease (AD) and 179 cognitively normal (CN) elderly. Effects of PVE-correction on global cortical standard uptake value ratios (SUVR) and the power of diagnostic group separation were assessed for the region-wise geometric transfer matrix method (PVEc-GTM), as well as for the 3-compartmental voxel-wise "Müller-Gärtner" method (PVEc-MG). Both PVE-correction methods resulted in decreased global cortical SUVRs in the low to middle range of SUVR values, and in increased global cortical SUVRs at the high values. As a consequence, average SUVR of the CN group was reduced, whereas average SUVR of the AD group was increased by PVE-correction. These effects were also reflected in increased accuracies of group discrimination after PVEc-GTM (AUC=0.86) and PVEc-MG (AUC=0.89) compared to standard non-corrected SUVR (AUC=0.84). Voxel-wise analyses of PVEc-MG corrected data also demonstrated improved detection of regionally increased AV45 SUVR values in AD patients. These findings complement the growing evidence for a beneficial effect of PVE-correction in quantitative analysis of amyloid-sensitive PET data. The novel PETPVE12 toolbox significantly facilitates the application of PVE-correction, particularly within SPM-based processing pipelines. This is expected to foster the use of PVE-correction in brain PET for more widespread use. The toolbox is freely available at http://www.fil.ion.ucl.ac.uk/spm/ext/#PETPVE12.
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Affiliation(s)
| | - Catharina Lange
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany; Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany
| | - Ralph Buchert
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michel J Grothe
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany; Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany.
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12
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Holzgreve A, Brendel M, Gu S, Carlsen J, Mille E, Böning G, Mastrella G, Unterrainer M, Gildehaus FJ, Rominger A, Bartenstein P, Kälin RE, Glass R, Albert NL. Monitoring of Tumor Growth with [(18)F]-FET PET in a Mouse Model of Glioblastoma: SUV Measurements and Volumetric Approaches. Front Neurosci 2016; 10:260. [PMID: 27378835 PMCID: PMC4906232 DOI: 10.3389/fnins.2016.00260] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Accepted: 05/23/2016] [Indexed: 11/15/2022] Open
Abstract
Noninvasive tumor growth monitoring is of particular interest for the evaluation of experimental glioma therapies. This study investigates the potential of positron emission tomography (PET) using O-(2-18F-fluoroethyl)-L-tyrosine ([18F]-FET) to determine tumor growth in a murine glioblastoma (GBM) model—including estimation of the biological tumor volume (BTV), which has hitherto not been investigated in the pre-clinical context. Fifteen GBM-bearing mice (GL261) and six control mice (shams) were investigated during 5 weeks by PET followed by autoradiographic and histological assessments. [18F]-FET PET was quantitated by calculation of maximum and mean standardized uptake values within a universal volume-of-interest (VOI) corrected for healthy background (SUVmax/BG, SUVmean/BG). A partial volume effect correction (PVEC) was applied in comparison to ex vivo autoradiography. BTVs obtained by predefined thresholds for VOI definition (SUV/BG: ≥1.4; ≥1.6; ≥1.8; ≥2.0) were compared to the histologically assessed tumor volume (n = 8). Finally, individual “optimal” thresholds for BTV definition best reflecting the histology were determined. In GBM mice SUVmax/BG and SUVmean/BG clearly increased with time, however at high inter-animal variability. No relevant [18F]-FET uptake was observed in shams. PVEC recovered signal loss of SUVmean/BG assessment in relation to autoradiography. BTV as estimated by predefined thresholds strongly differed from the histology volume. Strikingly, the individual “optimal” thresholds for BTV assessment correlated highly with SUVmax/BG (ρ = 0.97, p < 0.001), allowing SUVmax/BG-based calculation of individual thresholds. The method was verified by a subsequent validation study (n = 15, ρ = 0.88, p < 0.01) leading to extensively higher agreement of BTV estimations when compared to histology in contrast to predefined thresholds. [18F]-FET PET with standard SUV measurements is feasible for glioma imaging in the GBM mouse model. PVEC is beneficial to improve accuracy of [18F]-FET PET SUV quantification. Although SUVmax/BG and SUVmean/BG increase during the disease course, these parameters do not correlate with the respective tumor size. For the first time, we propose a histology-verified method allowing appropriate individual BTV estimation for volumetric in vivo monitoring of tumor growth with [18F]-FET PET and show that standardized thresholds from routine clinical practice seem to be inappropriate for BTV estimation in the GBM mouse model.
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Affiliation(s)
- Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of MunichMunich, Germany; Department of Neurosurgery, University Hospital of Munich, Ludwig Maximilians University of MunichMunich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Song Gu
- Department of Neurosurgery, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Janette Carlsen
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Erik Mille
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Guido Böning
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Giorgia Mastrella
- Department of Neurosurgery, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Franz J Gildehaus
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Roland E Kälin
- Department of Neurosurgery, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Rainer Glass
- Department of Neurosurgery, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilians University of Munich Munich, Germany
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Overhoff F, Brendel M, Jaworska A, Korzhova V, Delker A, Probst F, Focke C, Gildehaus FJ, Carlsen J, Baumann K, Haass C, Bartenstein P, Herms J, Rominger A. Automated Spatial Brain Normalization and Hindbrain White Matter Reference Tissue Give Improved [(18)F]-Florbetaben PET Quantitation in Alzheimer's Model Mice. Front Neurosci 2016; 10:45. [PMID: 26973442 PMCID: PMC4770021 DOI: 10.3389/fnins.2016.00045] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 02/01/2016] [Indexed: 11/13/2022] Open
Abstract
Preclinical PET studies of β-amyloid (Aβ) accumulation are of growing importance, but comparisons between research sites require standardized and optimized methods for quantitation. Therefore, we aimed to evaluate systematically the (1) impact of an automated algorithm for spatial brain normalization, and (2) intensity scaling methods of different reference regions for Aβ-PET in a large dataset of transgenic mice. PS2APP mice in a 6 week longitudinal setting (N = 37) and another set of PS2APP mice at a histologically assessed narrow range of Aβ burden (N = 40) were investigated by [18F]-florbetaben PET. Manual spatial normalization by three readers at different training levels was performed prior to application of an automated brain spatial normalization and inter-reader agreement was assessed by Fleiss Kappa (κ). For this method the impact of templates at different pathology stages was investigated. Four different reference regions on brain uptake normalization were used to calculate frontal cortical standardized uptake value ratios (SUVRCTX∕REF), relative to raw SUVCTX. Results were compared on the basis of longitudinal stability (Cohen's d), and in reference to gold standard histopathological quantitation (Pearson's R). Application of an automated brain spatial normalization resulted in nearly perfect agreement (all κ≥0.99) between different readers, with constant or improved correlation with histology. Templates based on inappropriate pathology stage resulted in up to 2.9% systematic bias for SUVRCTX∕REF. All SUVRCTX∕REF methods performed better than SUVCTX both with regard to longitudinal stability (d≥1.21 vs. d = 0.23) and histological gold standard agreement (R≥0.66 vs. R≥0.31). Voxel-wise analysis suggested a physiologically implausible longitudinal decrease by global mean scaling. The hindbrain white matter reference (Rmean = 0.75) was slightly superior to the brainstem (Rmean = 0.74) and the cerebellum (Rmean = 0.73). Automated brain normalization with reference region templates presents an excellent method to avoid the inter-reader variability in preclinical Aβ-PET scans. Intracerebral reference regions lacking Aβ pathology serve for precise longitudinal in vivo quantification of [18F]-florbetaben PET. Hindbrain white matter reference performed best when considering the composite of quality criteria.
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Affiliation(s)
- Felix Overhoff
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich Munich, Germany
| | - Anna Jaworska
- DZNE-German Center for Neurodegenerative DiseasesMunich, Germany; Laboratory of Neurodegeneration, International Institute of Molecular and Cell BiologyWarsaw, Poland
| | | | - Andreas Delker
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich Munich, Germany
| | - Federico Probst
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich Munich, Germany
| | - Carola Focke
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich Munich, Germany
| | - Franz-Josef Gildehaus
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich Munich, Germany
| | - Janette Carlsen
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich Munich, Germany
| | - Karlheinz Baumann
- Roche Pharma Research and Early Development, Neuroscience Discovery, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd Basel, Switzerland
| | - Christian Haass
- DZNE-German Center for Neurodegenerative DiseasesMunich, Germany; Munich Cluster for Systems Neurology (SyNergy)Munich, Germany; Biomedical Center, Ludwig-Maximilians-University of MunichMunich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, Ludwig-Maximilians-University of MunichMunich, Germany; Munich Cluster for Systems Neurology (SyNergy)Munich, Germany
| | - Jochen Herms
- DZNE-German Center for Neurodegenerative DiseasesMunich, Germany; Munich Cluster for Systems Neurology (SyNergy)Munich, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, Ludwig-Maximilians-University of MunichMunich, Germany; Munich Cluster for Systems Neurology (SyNergy)Munich, Germany
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14
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Brendel M, Probst F, Jaworska A, Overhoff F, Korzhova V, Albert NL, Beck R, Lindner S, Gildehaus FJ, Baumann K, Bartenstein P, Kleinberger G, Haass C, Herms J, Rominger A. Glial Activation and Glucose Metabolism in a Transgenic Amyloid Mouse Model: A Triple-Tracer PET Study. J Nucl Med 2016; 57:954-60. [PMID: 26912428 DOI: 10.2967/jnumed.115.167858] [Citation(s) in RCA: 97] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Accepted: 02/02/2016] [Indexed: 12/26/2022] Open
Abstract
UNLABELLED Amyloid imaging by small-animal PET in models of Alzheimer disease (AD) offers the possibility to track amyloidogenesis and brain energy metabolism. Because microglial activation is thought to contribute to AD pathology, we undertook a triple-tracer small-animal PET study to assess microglial activation and glucose metabolism in association with amyloid plaque load in a transgenic AD mouse model. METHODS Groups of PS2APP and C57BL/6 wild-type mice of various ages were examined by small-animal PET. We acquired 90-min dynamic emission data with (18)F-GE180 for imaging activated microglia (18-kD translocator protein ligand [TSPO]) and static 30- to 60-min recordings with (18)F-FDG for energy metabolism and (18)F-florbetaben for amyloidosis. Optimal fusion of PET data was obtained through automatic nonlinear spatial normalization, and SUVRs were calculated. For the novel TSPO tracer (18)F-GE180, we then calculated distribution volume ratios after establishing a suitable reference region. Immunohistochemical analyses with TSPO antisera, methoxy-X04 staining for fibrillary β-amyloid, and ex vivo autoradiography served as terminal gold standard assessments. RESULTS SUVR at 60-90 min after injection gave robust quantitation of (18)F-GE180, which correlated well with distribution volume ratios calculated from the entire recording and using a white matter reference region. Relative to age-matched wild-type, (18)F-GE180 SUVR was slightly elevated in PS2APP mice at 5 mo (+9%; P < 0.01) and distinctly increased at 16 mo (+25%; P < 0.001). Over this age range, there was a high positive correlation between small-animal PET findings of microglial activation with amyloid load (R = 0.85; P < 0.001) and likewise with metabolism (R = 0.61; P < 0.005). Immunohistochemical and autoradiographic findings confirmed the in vivo small-animal PET data. CONCLUSION In this first triple-tracer small-animal PET in a well-established AD mouse model, we found evidence for age-dependent microglial activation. This activation, correlating positively with the amyloid load, implies a relationship between amyloidosis and inflammation in the PS2APP AD mouse model.
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Affiliation(s)
- Matthias Brendel
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Federico Probst
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Anna Jaworska
- DZNE-German Center for Neurodegenerative Diseases, Munich, Germany
| | - Felix Overhoff
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | | | - Nathalie L Albert
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Roswitha Beck
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Franz-Josef Gildehaus
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Karlheinz Baumann
- Roche Pharma Research and Early Development, Neuroscience Discovery, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Peter Bartenstein
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany SyNergy, Ludwig-Maximilians-University of Munich, Munich, Germany; and
| | - Gernot Kleinberger
- DZNE-German Center for Neurodegenerative Diseases, Munich, Germany SyNergy, Ludwig-Maximilians-University of Munich, Munich, Germany; and Biomedical Center (BMC), Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Christian Haass
- DZNE-German Center for Neurodegenerative Diseases, Munich, Germany SyNergy, Ludwig-Maximilians-University of Munich, Munich, Germany; and Biomedical Center (BMC), Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Jochen Herms
- DZNE-German Center for Neurodegenerative Diseases, Munich, Germany SyNergy, Ludwig-Maximilians-University of Munich, Munich, Germany; and
| | - Axel Rominger
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany SyNergy, Ludwig-Maximilians-University of Munich, Munich, Germany; and
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Waldron AM, Wintmolders C, Bottelbergs A, Kelley JB, Schmidt ME, Stroobants S, Langlois X, Staelens S. In vivo molecular neuroimaging of glucose utilization and its association with fibrillar amyloid-β load in aged APPPS1-21 mice. ALZHEIMERS RESEARCH & THERAPY 2015; 7:76. [PMID: 26666747 PMCID: PMC4678474 DOI: 10.1186/s13195-015-0158-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Accepted: 10/21/2015] [Indexed: 11/10/2022]
Abstract
Introduction Radioligand imaging is a powerful in vivo method to assess the molecular basis of Alzheimer’s Disease. We therefore aimed to visualize the pathological deposition of fibrillar amyloid-β and neuronal dysfunction in aged double transgenic mice. Methods Using non-invasive positron emission tomography (PET) we assessed brain glucose utilization with [18F]FDG and fibrillar amyloidosis with [11C]PiB and [18F]AV45 in 12 month old APPPS1-21 (n = 10) mice and their age-matched wild-type controls (n = 15). PET scans were analyzed with statistical parametric mapping (SPM) to detect significant differences in tracer uptake between genotypes. After imaging, mice were sacrificed and ex vivo measures of amyloid-β burden with immunohistochemistry as well as glucose utilization with [14C]-2DG autoradiography were obtained as gold standards. Results Voxel-wise SPM analysis revealed significantly decreased [18F]FDG uptake in aged APPPS1-21 mice in comparison to WT with the thalamus (96.96 %, maxT = 3.35) and striatum (61.21 %, maxT = 3.29) demonstrating the most widespread reductions at the threshold of p < 0.01. [11C]PiB binding was significantly increased in APPPS1-21 mice, most notably in the hippocampus (87.84 %, maxT = 7.15) and cortex (69.08 %, maxT = 7.95), as detected by SPM voxel-wise analysis at the threshold of p < 0.01. Using the same threshold [18F]AV45 uptake was comparably lower with less significant differences. Compared to their respective ex vivo equivalents [18F]FDG demonstrated significant positive correlation to [14C]2-DG autoradiography (r = 0.67, p <0.0001) while [11C]PiB and [18F]AV45 binding did not correlate to ex vivo immunohistochemistry for amyloid-β (r = 0.25, p = 0.07 and r = 0.17, p = 0.26 respectively). Lastly no correlation was observed between regions of high amyloid burden and those with decreased glucose utilization (r = 0.001, p = 0.99). Conclusions Our findings support that fibrillar amyloid-β deposition and reduced glucose utilization can be visualized and quantified with in vivo μPET imaging in aged APPPS1-21 mice. Therefore, the combined use of [18F]FDG and amyloid μPET imaging can shed light on the underlying relationship between fibrillar amyloid-β pathology and neuronal dysfunction.
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Affiliation(s)
- Ann-Marie Waldron
- Molecular Imaging Center Antwerp, University of Antwerp, Campus Drie Eiken - UC, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium.
| | - Cindy Wintmolders
- Neuroscience Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.
| | - Astrid Bottelbergs
- Neuroscience Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.
| | - Jonathan B Kelley
- Neuroscience Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.
| | - Mark E Schmidt
- Neuroscience Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.
| | - Sigrid Stroobants
- Molecular Imaging Center Antwerp, University of Antwerp, Campus Drie Eiken - UC, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium. .,Nuclear Medicine Department, University Hospital Antwerp, Antwerp, Belgium.
| | - Xavier Langlois
- Neuroscience Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.
| | - Steven Staelens
- Molecular Imaging Center Antwerp, University of Antwerp, Campus Drie Eiken - UC, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium.
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16
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Bannon D, Landau AM, Doudet DJ. How Relevant Are Imaging Findings in Animal Models of Movement Disorders to Human Disease? Curr Neurol Neurosci Rep 2015; 15:53. [DOI: 10.1007/s11910-015-0571-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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17
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Yousefi BH, von Reutern B, Scherübl D, Manook A, Schwaiger M, Grimmer T, Henriksen G, Förster S, Drzezga A, Wester HJ. FIBT versus florbetaben and PiB: a preclinical comparison study with amyloid-PET in transgenic mice. EJNMMI Res 2015; 5:20. [PMID: 25918674 PMCID: PMC4402683 DOI: 10.1186/s13550-015-0090-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Accepted: 02/22/2015] [Indexed: 12/19/2022] Open
Abstract
Background Over the last decade, an increasing number of studies have been published on the use of amyloid-β (Aβ) PET imaging with different 18F-radiopharmaceuticals for clinical characterization of Alzheimer’s disease (AD) in different stages. However, distinct study cohorts and different quantification techniques allow only for an indirect comparison between the different tracers. Thus, the aim of this study was the direct intra-individual in vivo comparison of different Aβ-targeted radiopharmaceuticals for PET imaging, including the newly developed agent [18F]FIBT. Methods A small group of four animals of a well-characterized APP/PS1 transgenic (tg) mouse model of AD and gender-matched control (ctl) animals underwent a sequential and standardized PET imaging regimen for direct comparison of [18F]FIBT, [18F]florbetaben, and [11C]PiB. The quantitative PET imaging data were cross-validated with the cerebral Aβ plaque load as quantified ex vivo on histological sections. Results We found that FIBT (2-(p-methylaminophenyl)-7-(2-[18F]fluoroethoxy)imidazo[2,1-b]benzothiazole) compares favorably to florbetaben as a high-contrasting PET radiopharmaceutical for imaging Aβ pathology. The excellent pharmacokinetics of FIBT in combination with its high-binding affinity towards Aβ resulted in feasible high-contrast imaging of Aβ with high global cortex to cerebellum standard uptake value ratio (SUVR) in 24-month-old tg mice (tg 1.68 ± 0.15 vs. ctl 0.95 ± 0.02). The SUVRs in transgenic versus control animals (SUVRtg/SUVRctl) for FIBT (1.78 ± 0.16) were similar to the ratios as observed in humans (SUVRAD/SUVRctl) for the established gold standard Pittsburgh compound B (PiB) (1.65 ± 0.41). Conclusions This head-to-head PET tracer comparison study in mice indicated the good imaging properties of [18F]FIBT, such as high initial brain uptake, fast clearance of the brain, and high binding affinity towards Aβ as directly compared to the established amyloid tracers. Moreover, the preclinical study design is recommendable for reliable assessment and comparison of novel radiopharmaceuticals. Electronic supplementary material The online version of this article (doi:10.1186/s13550-015-0090-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Behrooz H Yousefi
- Department of Pharmaceutical Radiochemistry, Technische Universität München, Walther-Meißner-Str. 3, 85748 Garching, Germany
| | - Boris von Reutern
- Department of Nuclear Medicine, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany ; Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Wilhelm-Johnen-Straße, 52428 Jülich, Germany
| | - Daniela Scherübl
- Department of Nuclear Medicine, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany
| | - André Manook
- Department of Pharmaceutical Radiochemistry, Technische Universität München, Walther-Meißner-Str. 3, 85748 Garching, Germany ; Department of Nuclear Medicine, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany
| | - Markus Schwaiger
- Department of Nuclear Medicine, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany
| | - Gjermund Henriksen
- Department of Nuclear Medicine, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany
| | - Stefan Förster
- Department of Nuclear Medicine, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany
| | - Alexander Drzezga
- Department of Nuclear Medicine, Technische Universität München, Ismaninger Straße 22, 81675 Munich, Germany ; Department of Nuclear Medicine, University of Cologne, Kerpener Straße 62, 50937 Cologne, Germany
| | - Hans-Jürgen Wester
- Department of Pharmaceutical Radiochemistry, Technische Universität München, Walther-Meißner-Str. 3, 85748 Garching, Germany
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18
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Waldron AM, Verhaeghe J, wyffels L, Schmidt M, Langlois X, Van Der Linden A, Stroobants S, Staelens S. Preclinical Comparison of the Amyloid-β Radioligands [(11)C]Pittsburgh compound B and [(18)F]florbetaben in Aged APPPS1-21 and BRI1-42 Mouse Models of Cerebral Amyloidosis. Mol Imaging Biol 2015; 17:688-96. [PMID: 25701131 DOI: 10.1007/s11307-015-0833-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE The aim of this study was to compare [(11)C]Pittsburgh compound B ([(11)C]PiB) and [(18)F]florbetaben ([(18)F]FBB) for preclinical investigations of amyloid-β pathology. PROCEDURES We investigated two aged animal models of cerebral amyloidosis with contrasting levels of amyloid-β relating to "high" (APPPS1-21 n = 6, wild type (WT) n = 7) and "low" (BRI1-42 n = 6, WT n = 6) target states, respectively. RESULTS APPPS1-21 mice (high target state) demonstrated extensive fibrillar amyloid-β deposition that translated to significantly increased retention of [(11)C]PiB and [(18)F]FBB in comparison to their wild type. The retention pattern of [(11)C]PiB and [(18)F]FBB in this cohort displayed a significant correlation. However, the relative difference in tracer uptake between diseased and healthy mice was substantially higher for [(11)C]PiB than for [(18)F]FBB. Although immunohistochemistry confirmed the high plaque load in APPPS1-21 mice, correlation between tracer uptake and ex vivo quantification of amyloid-β was poor for both tracers. BRI1-42 mice (low target state) did not demonstrate increased tracer uptake. CONCLUSIONS In cases of high fibrillar amyloid-β burden, both tracers detected significant differences between diseased and healthy mice, with [(11)C]PiB showing a larger dynamic range.
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Affiliation(s)
- Ann-Marie Waldron
- Molecular Imaging Center Antwerp, University of Antwerp, Campus Drie Eiken - UC, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
| | - Jeroen Verhaeghe
- Molecular Imaging Center Antwerp, University of Antwerp, Campus Drie Eiken - UC, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
| | - Leonie wyffels
- Molecular Imaging Center Antwerp, University of Antwerp, Campus Drie Eiken - UC, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
- Nuclear Medicine, University Hospital Antwerp, Antwerp, Belgium
| | - Mark Schmidt
- Department of Neuroscience, Janssen Pharmaceutica NV, Beerse, Belgium
| | - Xavier Langlois
- Department of Neuroscience, Janssen Pharmaceutica NV, Beerse, Belgium
| | | | | | - Steven Staelens
- Molecular Imaging Center Antwerp, University of Antwerp, Campus Drie Eiken - UC, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium.
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19
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Brendel M, Jaworska A, Grießinger E, Rötzer C, Burgold S, Gildehaus FJ, Carlsen J, Cumming P, Baumann K, Haass C, Steiner H, Bartenstein P, Herms J, Rominger A. Cross-sectional comparison of small animal [18F]-florbetaben amyloid-PET between transgenic AD mouse models. PLoS One 2015; 10:e0116678. [PMID: 25706990 PMCID: PMC4338066 DOI: 10.1371/journal.pone.0116678] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Accepted: 12/11/2014] [Indexed: 12/13/2022] Open
Abstract
We aimed to compare [18F]-florbetaben PET imaging in four transgenic mouse strains modelling Alzheimer’s disease (AD), with the main focus on APPswe/PS2 mice and C57Bl/6 mice serving as controls (WT). A consistent PET protocol (N = 82 PET scans) was used, with cortical standardized uptake value ratio (SUVR) relative to cerebellum as the endpoint. We correlated methoxy-X04 staining of β-amyloid with PET results, and undertook ex vivo autoradiography for further validation of a partial volume effect correction (PVEC) of PET data. The SUVR in APPswe/PS2 increased from 0.95±0.04 at five months (N = 5) and 1.04±0.03 (p<0.05) at eight months (N = 7) to 1.07±0.04 (p<0.005) at ten months (N = 6), 1.28±0.06 (p<0.001) at 16 months (N = 6) and 1.39±0.09 (p<0.001) at 19 months (N = 6). SUVR was 0.95±0.03 in WT mice of all ages (N = 22). In APPswe/PS1G384A mice, the SUVR was 0.93/0.98 at five months (N = 2) and 1.11 at 16 months (N = 1). In APPswe/PS1dE9 mice, the SUVR declined from 0.96/0.96 at 12 months (N = 2) to 0.91/0.92 at 24 months (N = 2), due to β-amyloid plaques in cerebellum. PVEC reduced the discrepancy between SUVR-PET and autoradiography from −22% to +2% and increased the differences between young and aged transgenic animals. SUVR and plaque load correlated highly between strains for uncorrected (R = 0.94, p<0.001) and PVE-corrected (R = 0.95, p<0.001) data. We find that APPswe/PS2 mice may be optimal for longitudinal amyloid-PET monitoring in planned interventions studies.
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Affiliation(s)
- Matthias Brendel
- Dept. of Nuclear Medicine, University of Munich, Munich, Germany
| | - Anna Jaworska
- Dept. of Translational Research I, German Center for Neurodegenerative Diseases (DZNE)—site Munich, University of Munich, Munich, Germany
- Laboratory of Neurodegeneration, International Institute of Molecular and Cell Biology, Warsaw, Poland
| | - Eric Grießinger
- Dept. of Translational Research I, German Center for Neurodegenerative Diseases (DZNE)—site Munich, University of Munich, Munich, Germany
| | - Christina Rötzer
- Dept. of Nuclear Medicine, University of Munich, Munich, Germany
| | - Steffen Burgold
- Dept. of Translational Research I, German Center for Neurodegenerative Diseases (DZNE)—site Munich, University of Munich, Munich, Germany
| | | | - Janette Carlsen
- Dept. of Nuclear Medicine, University of Munich, Munich, Germany
| | - Paul Cumming
- Department of Nuclear Medicine, University of Erlangen, Erlangen, Germany
- Department of Neuroscience and Pharmacology, Copenhagen University, Copenhagen, Denmark
| | | | - Christian Haass
- Adolf-Butenandt-Institute, Biochemistry, University of Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Harald Steiner
- Adolf-Butenandt-Institute, Biochemistry, University of Munich, Munich, Germany
- DZNE–German Center for Neurodegenerative Diseases, Munich, Germany
| | - Peter Bartenstein
- Dept. of Nuclear Medicine, University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Jochen Herms
- Dept. of Translational Research I, German Center for Neurodegenerative Diseases (DZNE)—site Munich, University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Axel Rominger
- Dept. of Nuclear Medicine, University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- * E-mail:
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20
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Sabri O, Seibyl J, Rowe C, Barthel H. Beta-amyloid imaging with florbetaben. Clin Transl Imaging 2015; 3:13-26. [PMID: 25741488 PMCID: PMC4339690 DOI: 10.1007/s40336-015-0102-6] [Citation(s) in RCA: 112] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Accepted: 01/24/2015] [Indexed: 01/11/2023]
Abstract
Florbetaben is a fluorine-18 (18F)-labeled stilbene derivative that was developed as a positron emission tomography (PET) tracer for routine clinical application to visualize β-amyloid plaques in the Alzheimer's disease (AD) brain. The tracer successfully completed a global multicenter phase 0-III development program and was, as a consequence, recently approved by the US Food and Drug Administration and the European Medicines Agency. This review provides an overview on the florbetaben tracer characteristics and preclinical data leading to its human testing. Further, the favorable results of human pharmacokinetics, safety, and dosimetry evaluation of florbetaben are presented. Next, the results of the clinical testing of florbetaben are discussed, in which the tracer was shown to sensitively and specifically detect β-amyloid neuritic plaques, as evidenced by employing different gold standards (from clinical diagnosis to post mortem histopathology). The potential of florbetaben to predict AD dementia in cases of mild cognitive impairment and to assist in the differential diagnosis in cases of dementia is also described. Finally, potential clinical impact and clinical routine PET image acquisition and analysis protocols for florbetaben are discussed. Taken together, the evidence shows that florbetaben is a valuable β-amyloid-targeting PET tracer in the clinic with great potential to serve as a biomarker supporting clinical AD diagnosis.
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Affiliation(s)
| | - John Seibyl
- Institute of Neurodegenerative Disorders, New Haven, CT USA
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21
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Sérrière S, Tauber C, Vercouillie J, Mothes C, Pruckner C, Guilloteau D, Kassiou M, Doméné A, Garreau L, Page G, Chalon S. Amyloid load and translocator protein 18 kDa in APPswePS1-dE9 mice: a longitudinal study. Neurobiol Aging 2015; 36:1639-1652. [PMID: 25680265 DOI: 10.1016/j.neurobiolaging.2014.11.023] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Revised: 11/03/2014] [Accepted: 11/25/2014] [Indexed: 12/16/2022]
Abstract
We studied concomitantly the level of neuroinflammation and β-amyloid (Aβ) load in the APPswePS1dE9 transgenic mouse model of Alzheimer's disease using positron emission tomography. The translocator protein 18 kDa (TSPO) tracer [(18)F]DPA-714 was used to measure neuroinflammation and [(18)F]AV-45 for Aβ load in mice at 6, 9, 12, 15, and 19 months of age. At 19 months, we also analyzed the neuroinflammatory and neuroanatomic status of mice brains. The main affected brain areas were the cortex and hippocampus, with a concomitant progression of neuroinflammation with increased amyloid burden. At 19 months, no increase in TSPO binding was observed in the cerebellum; immunostaining revealed W0-2-positive plaques, indicating that the amyloid deposits seemed not stimulate inflammation. This finding was in agreement with the observed level of microglia and astrocytes staining. Our findings provide a better understanding of the relationships between neuroinflammation and plaque accumulation in the course of the disease in this mouse model. The monitoring of both processes should be of value to validate potential therapeutic approaches.
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Affiliation(s)
- Sophie Sérrière
- UMR Inserm U930, Université François-Rabelais de Tours, Tours, France
| | - Clovis Tauber
- UMR Inserm U930, Université François-Rabelais de Tours, Tours, France
| | | | | | | | - Denis Guilloteau
- UMR Inserm U930, Université François-Rabelais de Tours, Tours, France; CHRU de Tours, Tours, France
| | - Michael Kassiou
- School of Chemistry and Faculty of Health Sciences, University of Sydney, Sydney, Australia
| | - Aurélie Doméné
- UMR Inserm U930, Université François-Rabelais de Tours, Tours, France
| | - Lucette Garreau
- UMR Inserm U930, Université François-Rabelais de Tours, Tours, France
| | - Guylène Page
- EA 3808 CiMoTheMA, Université de Poitiers, Poitiers, France
| | - Sylvie Chalon
- UMR Inserm U930, Université François-Rabelais de Tours, Tours, France.
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22
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Brendel M, Högenauer M, Delker A, Sauerbeck J, Bartenstein P, Seibyl J, Rominger A. Improved longitudinal [(18)F]-AV45 amyloid PET by white matter reference and VOI-based partial volume effect correction. Neuroimage 2014; 108:450-9. [PMID: 25482269 DOI: 10.1016/j.neuroimage.2014.11.055] [Citation(s) in RCA: 111] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 11/20/2014] [Accepted: 11/26/2014] [Indexed: 10/24/2022] Open
Abstract
Amyloid positron-emission-tomography (PET) offers an important research and diagnostic tool for investigating Alzheimer's disease (AD). The majority of amyloid PET studies have used the cerebellum as a reference region, and clinical studies have not accounted for atrophy-based partial volume effects (PVE). Longitudinal studies using cerebellum as reference tissue have revealed only small mean increases and high inter-subject variability in amyloid binding. We aimed to test the effects of different reference regions and PVE-correction (PVEC) on the discriminatory power and longitudinal performance of amyloid PET. We analyzed [(18)F]-AV45 PET and T1-weighted MRI data of 962 subjects at baseline and two-year follow-up data of 258 subjects. Cortical composite volume-of-interest (VOI) values (COMP) for tracer uptake were generated using either full brain atlas VOIs, gray matter segmented VOIs or gray matter segmented VOIs after VOI-based PVEC. Standard-uptake-value ratios (SUVR) were calculated by scaling the COMP values to uptake in cerebellum (SUVRCBL), brainstem (SUVRBST) or white matter (SUVRWM). Mean SUV, SUVR, and changes after PVEC were compared at baseline between diagnostic groups of healthy controls (HC; N=316), mild cognitive impairment (MCI; N=483) and AD (N=163). Receiver operating characteristics (ROC) were calculated for the discriminations between HC, MCI and AD, and expressed as area under the curve (AUC). Finally, the longitudinal [(18)F]-AV45-PET data were used to analyze the impact of quantitation procedures on apparent changes in amyloid load over time. Reference region SUV was most constant between diagnosis groups for the white matter. PVEC led to decreases of COMP-SUV in HC (-18%) and MCI (-10%), but increases in AD (+7%). Highest AUCs were found when using PVEC with white matter scaling for the contrast between HC/AD (0.907) or with brainstem scaling for the contrast between HC/MCI (0.658). Longitudinal increases were greatest in all diagnosis groups with application of PVEC, and inter-subject variability was lowest for the white matter reference. Thus, discriminatory power of [(18)F]-AV45-PET was improved by use of a VOI-based PVEC and white matter or brainstem rather than cerebellum reference region. Detection of longitudinal amyloid increases was optimized with PVEC and white matter reference tissue.
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Affiliation(s)
| | | | - Andreas Delker
- Dept. of Nuclear Medicine, University of Munich, Germany
| | | | | | | | - Axel Rominger
- Dept. of Nuclear Medicine, University of Munich, Germany.
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23
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Snellman A, Rokka J, López-Picón FR, Eskola O, Salmona M, Forloni G, Scheinin M, Solin O, Rinne JO, Haaparanta-Solin M. In vivo PET imaging of beta-amyloid deposition in mouse models of Alzheimer's disease with a high specific activity PET imaging agent [(18)F]flutemetamol. EJNMMI Res 2014; 4:37. [PMID: 25977876 PMCID: PMC4412375 DOI: 10.1186/s13550-014-0037-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Accepted: 07/02/2014] [Indexed: 01/07/2023] Open
Abstract
Background The purpose of the study was to evaluate the applicability of 18F-labelled amyloid imaging positron emission tomography (PET) agent [18F]flutemetamol to detect changes in brain beta-amyloid (Aβ) deposition in vivo in APP23, Tg2576 and APPswe-PS1dE9 mouse models of Alzheimer's disease. We expected that the high specific activity of [18F]flutemetamol would make it an attractive small animal Aβ imaging agent. Methods [18F]flutemetamol uptake in the mouse brain was evaluated in vivo at 9 to 22 months of age with an Inveon Multimodality PET/CT camera (Siemens Medical Solutions USA, Knoxville, TN, USA). Retention in the frontal cortex (FC) was evaluated by Logan distribution volume ratios (DVR) and FC/cerebellum (CB) ratios during the late washout phase (50 to 60 min). [18F]flutemetamol binding to Aβ was also evaluated in brain slices by in vitro and ex vivo autoradiography. The amount of Aβ in the brain slices was determined with Thioflavin S and anti-Aβ1−40 immunohistochemistry. Results In APP23 mice, [18F]flutemetamol retention in the FC increased from 9 to 18 months. In younger mice, DVR and FC/CB50-60 were 0.88 (0.81) and 0.88 (0.89) at 9 months (N = 2), and 0.98 (0.93) at 12 months (N = 1), respectively. In older mice, DVR and FC/CB50-60 were 1.16 (1.15) at 15 months (N = 1), 1.13 (1.16) and 1.35 (1.35) at 18 months (N = 2), and 1.05 (1.31) at 21 months (N = 1). In Tg2576 mice, DVR and FC/CB50-60 showed modest increasing trends but also high variability. In APPswe-PS1dE9 mice, DVR and FC/CB50-60 did not increase with age. Thioflavin S and anti-Aβ1−40 positive Aβ deposits were present in all transgenic mice at 19 to 22 months, and they co-localized with [18F]flutemetamol binding in the brain slices examined with in vitro and ex vivo autoradiography. Conclusions Increased [18F]flutemetamol retention in the brain was detected in old APP23 mice in vivo. However, the high specific activity of [18F]flutemetamol did not provide a notable advantage in Tg2576 and APPswe-PS1dE9 mice compared to the previously evaluated structural analogue [11C]PIB. For its practical benefits, [18F]flutemetamol imaging with a suitable mouse model like APP23 is an attractive alternative.
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Affiliation(s)
- Anniina Snellman
- Medicity/PET Preclinical Laboratory, Turku PET Centre, University of Turku, Tykistökatu 6 A, Turku 20520, Finland
| | - Johanna Rokka
- Radiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Porthaninkatu 3, Turku 20500, Finland
| | - Francisco R López-Picón
- Medicity/PET Preclinical Laboratory, Turku PET Centre, University of Turku, Tykistökatu 6 A, Turku 20520, Finland
| | - Olli Eskola
- Radiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Porthaninkatu 3, Turku 20500, Finland
| | - Mario Salmona
- Mario Negri Institute for Pharmacological Research, Milan 20156, Italy
| | - Gianluigi Forloni
- Mario Negri Institute for Pharmacological Research, Milan 20156, Italy
| | - Mika Scheinin
- Department of Pharmacology, Drug Development and Therapeutics, University of Turku, Kiinamyllynkatu 10, Turku 20520, Finland ; Unit of Clinical Pharmacology, TYKSLAB, Turku University Hospital, Kiinamyllynkatu 10, Turku 20520, Finland
| | - Olof Solin
- Radiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Porthaninkatu 3, Turku 20500, Finland
| | - Juha O Rinne
- Turku PET Centre, University of Turku, Turku 20521, Finland
| | - Merja Haaparanta-Solin
- Medicity/PET Preclinical Laboratory, Turku PET Centre, University of Turku, Tykistökatu 6 A, Turku 20520, Finland
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