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Malpetti M, Roemer SN, Harris S, Gross M, Gnörich J, Stephens A, Dewenter A, Steward A, Biel D, Dehsarvi A, Wagner F, Müller A, Koglin N, Weidinger E, Palleis C, Katzdobler S, Rupprecht R, Perneczky R, Rauchmann BS, Levin J, Höglinger GU, Brendel M, Franzmeier N. Neuroinflammation Parallels 18F-PI-2620 Positron Emission Tomography Patterns in Primary 4-Repeat Tauopathies. Mov Disord 2024. [PMID: 39022835 DOI: 10.1002/mds.29924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 06/25/2024] [Accepted: 06/26/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Preclinical, postmortem, and positron emission tomography (PET) imaging studies have pointed to neuroinflammation as a key pathophysiological hallmark in primary 4-repeat (4R) tauopathies and its role in accelerating disease progression. OBJECTIVE We tested whether microglial activation (1) progresses in similar spatial patterns as the primary pathology tau spreads across interconnected brain regions, and (2) whether the degree of microglial activation parallels tau pathology spreading. METHODS We examined in vivo associations between tau aggregation and microglial activation in 31 patients with clinically diagnosed 4R tauopathies, using 18F-PI-2620 PET and 18F-GE180 (translocator protein [TSPO]) PET. We determined tau epicenters, defined as subcortical brain regions with highest tau PET signal, and assessed the connectivity of tau epicenters to cortical regions of interest using a 3-T resting-state functional magnetic resonance imaging template derived from age-matched healthy elderly controls. RESULTS In 4R tauopathy patients, we found that higher regional tau PET covaries with elevated TSPO-PET across brain regions that are functionally connected to each other (β = 0.414, P < 0.001). Microglial activation follows similar distribution patterns as tau and distributes primarily across brain regions strongly connected to patient-specific tau epicenters (β = -0.594, P < 0.001). In these regions, microglial activation spatially parallels tau distribution detectable with 18F-PI-2620 PET. CONCLUSIONS Our findings indicate that the spatial expansion of microglial activation parallels tau distribution across brain regions that are functionally connected to each other, suggesting that tau and inflammation are closely interrelated in patients with 4R tauopathies. The combination of in vivo tau and inflammatory biomarkers could therefore support the development of immunomodulatory strategies for disease-modifying treatments in these conditions. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Maura Malpetti
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Sebastian N Roemer
- Department of Neurology, LMU Hospital, LMU Hospital, LMU Munich, Munich, Germany
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
| | - Stefanie Harris
- Department of Nuclear Medicine, LMU Hospital, LMU Munich, Munich, Germany
| | - Mattes Gross
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
- Department of Nuclear Medicine, LMU Hospital, LMU Munich, Munich, Germany
| | - Johannes Gnörich
- Department of Nuclear Medicine, LMU Hospital, LMU Munich, Munich, Germany
| | | | - Anna Dewenter
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
| | - Anna Steward
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
| | - Davina Biel
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
| | - Amir Dehsarvi
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
| | - Fabian Wagner
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
| | | | | | - Endy Weidinger
- Department of Neurology, LMU Hospital, LMU Hospital, LMU Munich, Munich, Germany
| | - Carla Palleis
- Department of Neurology, LMU Hospital, LMU Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
| | - Sabrina Katzdobler
- Department of Neurology, LMU Hospital, LMU Hospital, LMU Munich, Munich, Germany
| | - Rainer Rupprecht
- Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany
| | - Robert Perneczky
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU Hospital, LMU Munich, Munich, Germany
- Aging Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, LMU Hospital, LMU Munich, Munich, Germany
- Department of Neuroradiology, LMU Hospital, LMU Munich, Munich, Germany
| | - Johannes Levin
- Department of Neurology, LMU Hospital, LMU Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
| | - Günter U Höglinger
- Department of Neurology, LMU Hospital, LMU Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, LMU Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, The Sahlgrenska Academy, Gothenburg, Sweden
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Roemer SN, Brendel M, Gnörich J, Malpetti M, Zaganjori M, Quattrone A, Gross M, Steward A, Dewenter A, Wagner F, Dehsarvi A, Ferschmann C, Wall S, Palleis C, Rauchmann BS, Katzdobler S, Jäck A, Stockbauer A, Fietzek UM, Bernhardt AM, Weidinger E, Zwergal A, Stöcklein S, Perneczky R, Barthel H, Sabri O, Levin J, Höglinger GU, Franzmeier N. Subcortical tau is linked to hypoperfusion in connected cortical regions in 4-repeat tauopathies. Brain 2024; 147:2428-2439. [PMID: 38842726 DOI: 10.1093/brain/awae174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/07/2024] [Accepted: 04/28/2024] [Indexed: 06/07/2024] Open
Abstract
Four-repeat (4R) tauopathies are neurodegenerative diseases characterized by cerebral accumulation of 4R tau pathology. The most prominent 4R tauopathies are progressive supranuclear palsy (PSP) and corticobasal degeneration characterized by subcortical tau accumulation and cortical neuronal dysfunction, as shown by PET-assessed hypoperfusion and glucose hypometabolism. Yet, there is a spatial mismatch between subcortical tau deposition patterns and cortical neuronal dysfunction, and it is unclear how these two pathological brain changes are interrelated. Here, we hypothesized that subcortical tau pathology induces remote neuronal dysfunction in functionally connected cortical regions to test a pathophysiological model that mechanistically links subcortical tau accumulation to cortical neuronal dysfunction in 4R tauopathies. We included 51 Aβ-negative patients with clinically diagnosed PSP variants (n = 26) or corticobasal syndrome (n = 25) who underwent structural MRI and 18F-PI-2620 tau-PET. 18F-PI-2620 tau-PET was recorded using a dynamic one-stop-shop acquisition protocol to determine an early 0.5-2.5 min post tracer-injection perfusion window for assessing cortical neuronal dysfunction, as well as a 20-40 min post tracer-injection window to determine 4R-tau load. Perfusion-PET (i.e. early window) was assessed in 200 cortical regions, and tau-PET was assessed in 32 subcortical regions of established functional brain atlases. We determined tau epicentres as subcortical regions with the highest 18F-PI-2620 tau-PET signal and assessed the connectivity of tau epicentres to cortical regions of interest using a resting-state functional MRI-based functional connectivity template derived from 69 healthy elderly controls from the ADNI cohort. Using linear regression, we assessed whether: (i) higher subcortical tau-PET was associated with reduced cortical perfusion; and (ii) cortical perfusion reductions were observed preferentially in regions closely connected to subcortical tau epicentres. As hypothesized, higher subcortical tau-PET was associated with overall lower cortical perfusion, which remained consistent when controlling for cortical tau-PET. Using group-average and subject-level PET data, we found that the seed-based connectivity pattern of subcortical tau epicentres aligned with cortical perfusion patterns, where cortical regions that were more closely connected to the tau epicentre showed lower perfusion. Together, subcortical tau-accumulation is associated with remote perfusion reductions indicative of neuronal dysfunction in functionally connected cortical regions in 4R-tauopathies. This suggests that subcortical tau pathology may induce cortical dysfunction, which may contribute to clinical disease manifestation and clinical heterogeneity.
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Affiliation(s)
- Sebastian N Roemer
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Matthias Brendel
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany
| | - Johannes Gnörich
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Maura Malpetti
- Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 1TN, UK
| | - Mirlind Zaganjori
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Andrea Quattrone
- Institute of Neurology, Magna Graecia University, 88100 Catanzaro, Italy
| | - Mattes Gross
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Anna Steward
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Fabian Wagner
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Amir Dehsarvi
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Christian Ferschmann
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Stephan Wall
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Carla Palleis
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany
| | - Boris S Rauchmann
- Department of Neuroradiology, University Hospital, LMU Munich, 81377 Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336 Munich, Germany
| | - Sabrina Katzdobler
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Alexander Jäck
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Anna Stockbauer
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Urban M Fietzek
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Alexander M Bernhardt
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany
| | - Endy Weidinger
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Andreas Zwergal
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
- German Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, 81377 Munich, Germany
| | - Sophia Stöcklein
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Robert Perneczky
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 80336 Munich, Germany
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London SW7 2BX, UK
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield S10 2HQ, UK
| | - Henryk Barthel
- Department of Nuclear Medicine, University Hospital of Leipzig, 04103 Leipzig, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University Hospital of Leipzig, 04103 Leipzig, Germany
| | - Johannes Levin
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany
| | - Günter U Höglinger
- Department of Neurology, University Hospital, LMU Munich, 81377 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
- Department of Psychiatry and Neurochemistry, University of Gothenburg, The Sahlgrenska Academy, Institute of Neuroscience and Physiology, SE 413 90 Mölndal and Gothenburg, Sweden
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Bhattarai A, Holy EN, Wang Y, Spencer BA, Wang G, DeCarli C, Fan AP. Kinetic modeling of 18 F-PI-2620 binding in the brain using an image-derived input function with total-body PET. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.02.601764. [PMID: 39005369 PMCID: PMC11245027 DOI: 10.1101/2024.07.02.601764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Accurate quantification of tau binding from 18 F-PI-2620 PET requires kinetic modeling and an input function. Here, we implemented a non-invasive Image-derived input function (IDIF) derived using the state-of-the-art total-body uEXPLORER PET/CT scanner to quantify tau binding and tracer delivery rate from 18 F-PI-2620 in the brain. Additionally, we explored the impact of scan duration on the quantification of kinetic parameters. Total-body PET dynamic data from 15 elderly participants were acquired. Time-activity curves from the grey matter regions of interest (ROIs) were fitted to the two-tissue compartmental model (2TCM) using a subject-specific IDIF derived from the descending aorta. ROI-specific kinetic parameters were estimated for different scan durations ranging from 10 to 90 minutes. Logan graphical analysis was also used to estimate the total distribution volume (V T ). Differences in kinetic parameters were observed between ROIs, including significant reduction in tracer delivery rate (K 1 ) in the medial temporal lobe. All kinetic parameters remained relatively stable after the 60-minute scan window across all ROIs, with K 1 showing high stability after 30 minutes of scan duration. Excellent correlation was observed between V T estimated using 2TCM and Logan plot analysis. This study demonstrated the utility of IDIF with total-body PET in investigating 18 F-PI-2620 kinetics in the brain.
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Strobel J, Yousefzadeh-Nowshahr E, Deininger K, Bohn KP, von Arnim CAF, Otto M, Solbach C, Anderl-Straub S, Polivka D, Fissler P, Glatting G, Riepe MW, Higuchi M, Beer AJ, Ludolph A, Winter G. Exploratory Tau PET/CT with [11C]PBB3 in Patients with Suspected Alzheimer's Disease and Frontotemporal Lobar Degeneration: A Pilot Study on Correlation with PET Imaging and Cerebrospinal Fluid Biomarkers. Biomedicines 2024; 12:1460. [PMID: 39062033 DOI: 10.3390/biomedicines12071460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 06/13/2024] [Accepted: 06/25/2024] [Indexed: 07/28/2024] Open
Abstract
Accurately diagnosing Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD) is challenging due to overlapping symptoms and limitations of current imaging methods. This study investigates the use of [11C]PBB3 PET/CT imaging to visualize tau pathology and improve diagnostic accuracy. Given diagnostic challenges with symptoms and conventional imaging, [11C]PBB3 PET/CT's potential to enhance accuracy was investigated by correlating tau pathology with cerebrospinal fluid (CSF) biomarkers, positron emission tomography (PET), computed tomography (CT), amyloid-beta, and Mini-Mental State Examination (MMSE). We conducted [11C]PBB3 PET/CT imaging on 24 patients with suspected AD or FTLD, alongside [11C]PiB PET/CT (13 patients) and [18F]FDG PET/CT (15 patients). Visual and quantitative assessments of [11C]PBB3 uptake using standardized uptake value ratios (SUV-Rs) and correlation analyses with clinical assessments were performed. The scans revealed distinct tau accumulation patterns; 13 patients had no or faint uptake (PBB3-negative) and 11 had moderate to pronounced uptake (PBB3-positive). Significant inverse correlations were found between [11C]PBB3 SUV-Rs and MMSE scores, but not with CSF-tau or CSF-amyloid-beta levels. Here, we show that [11C]PBB3 PET/CT imaging can reveal distinct tau accumulation patterns and correlate these with cognitive impairment in neurodegenerative diseases. Our study demonstrates the potential of [11C]PBB3-PET imaging for visualizing tau pathology and assessing disease severity, offering a promising tool for enhancing diagnostic accuracy in AD and FTLD. Further research is essential to validate these findings and refine the use of tau-specific PET imaging in clinical practice, ultimately improving patient care and treatment outcomes.
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Affiliation(s)
- Joachim Strobel
- Department of Nuclear Medicine, Ulm University Medical Center, 89081 Ulm, Germany
| | | | - Katharina Deininger
- Department of Nuclear Medicine, Ulm University Medical Center, 89081 Ulm, Germany
| | - Karl Peter Bohn
- Department of Nuclear Medicine, Ulm University Medical Center, 89081 Ulm, Germany
| | | | - Markus Otto
- Department of Neurology, Halle University, 06120 Halle, Germany
| | - Christoph Solbach
- Department of Nuclear Medicine, Ulm University Medical Center, 89081 Ulm, Germany
| | | | - Dörte Polivka
- Department of Neurology, Ulm University Medical Center, 89081 Ulm, Germany
| | - Patrick Fissler
- Psychiatric Services Thurgau (Academic Teaching Hospital of the University of Konstanz), 8596 Münsterlingen, Switzerland
| | - Gerhard Glatting
- Department of Nuclear Medicine, Ulm University Medical Center, 89081 Ulm, Germany
| | - Matthias W Riepe
- Department of Psychiatry and Psychotherapy II, Ulm University, 89075 Ulm, Germany
| | - Makoto Higuchi
- National Institute of Radiological Sciences, Chiba 263-8555, Japan
| | - Ambros J Beer
- Department of Nuclear Medicine, Ulm University Medical Center, 89081 Ulm, Germany
| | - Albert Ludolph
- Department of Neurology, Ulm University Medical Center, 89081 Ulm, Germany
| | - Gordon Winter
- Department of Nuclear Medicine, Ulm University Medical Center, 89081 Ulm, Germany
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Bischof GN, Brendel M, Barthel H, Theis H, Barbe M, Bartenstein P, Claasen J, Danek A, Höglinger G, Levin J, Marek K, Neumaier B, Palleis C, Patt M, Rullmann M, Saur D, Schroeter ML, Seibyl J, Song M, Stephens A, Sabri O, Drzezga A, van Eimeren T. Improved Tau PET SUVR Quantification in 4-Repeat Tau Phenotypes with [ 18F]PI-2620. J Nucl Med 2024; 65:952-955. [PMID: 38575191 PMCID: PMC11149601 DOI: 10.2967/jnumed.123.265930] [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: 10/17/2023] [Revised: 02/20/2024] [Indexed: 04/06/2024] Open
Abstract
We used a new data-driven methodology to identify a set of reference regions that enhanced the quantification of the SUV ratio of the second-generation tau tracer 2-(2-([18F]fluoro)pyridin-4-yl)-9H-pyrrolo[2,3-b:4,5-c']dipyridine ([18F]PI-2620) in a group of patients clinically diagnosed with 4-repeat tauopathy, specifically progressive supranuclear palsy or cortical basal syndrome. The study found that SUV ratios calculated using the identified reference regions (i.e., fusiform gyrus and crus-cerebellum) were significantly associated with symptom severity and disease duration. This establishes, for the first time to our knowledge, the suitability of [18F]PI-2620 for tracking disease progression in this 4-repeat disease population. This is an important step toward increased clinical utility, such as patient stratification and monitoring in disease-modifying treatment trials. Additionally, the applied methodology successfully optimized reference regions for automated detection of brain imaging tracers. This approach may also hold value for other brain imaging tracers.
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Affiliation(s)
- Gérard N Bischof
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany;
- Molecular Organization of the Brain, Institute for Neuroscience and Medicine, Jülich, Germany
| | - Matthias Brendel
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany
| | - Hendrik Theis
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Michael Barbe
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Peter Bartenstein
- Munich Cluster for Systems Neurology, Munich, Germany
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Joseph Claasen
- Department of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany
| | - Adrian Danek
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Günter Höglinger
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Johannes Levin
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Ken Marek
- InviCRO, LLC, Boston, Massachusetts
- Molecular Neuroimaging, a division of inviCRO, New Haven, Connecticut
| | - Bernd Neumaier
- Institute of Radiochemistry and Experimental Molecular Imaging, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine, Nuclear Chemistry, Research Center Jülich, Jülich, Germany
| | - Carla Palleis
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Marianne Patt
- Department of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany
| | - Michael Rullmann
- Clinic for Cognitive Neurology, University Hospital of Leipzig, and Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Dorothee Saur
- Department of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany
| | - Matthias L Schroeter
- Clinic for Cognitive Neurology, University Hospital of Leipzig, and Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - John Seibyl
- InviCRO, LLC, Boston, Massachusetts
- Molecular Neuroimaging, a division of inviCRO, New Haven, Connecticut
| | - Mengmeng Song
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | | | - Osama Sabri
- Department of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany
| | - Alexander Drzezga
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
- Molecular Organization of the Brain, Institute for Neuroscience and Medicine, Jülich, Germany
- German Center for Neurodegenerative Diseases, Bonn/Cologne, Germany
| | - Thilo van Eimeren
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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6
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Ferschmann C, Messerschmidt K, Gnörich J, Barthel H, Marek K, Palleis C, Katzdobler S, Stockbauer A, Fietzek U, Finze A, Biechele G, Rumpf JJ, Saur D, Schroeter ML, Rullmann M, Beyer L, Eckenweber F, Wall S, Schildan A, Patt M, Stephens A, Classen J, Bartenstein P, Seibyl J, Franzmeier N, Levin J, Höglinger GU, Sabri O, Brendel M, Scheifele M. Tau accumulation is associated with dopamine deficiency in vivo in four-repeat tauopathies. Eur J Nucl Med Mol Imaging 2024; 51:1909-1922. [PMID: 38366196 PMCID: PMC11139736 DOI: 10.1007/s00259-024-06637-6] [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: 07/11/2023] [Accepted: 02/04/2024] [Indexed: 02/18/2024]
Abstract
PURPOSE We hypothesized that severe tau burden in brain regions involved in direct or indirect pathways of the basal ganglia correlate with more severe striatal dopamine deficiency in four-repeat (4R) tauopathies. Therefore, we correlated [18F]PI-2620 tau-positron-emission-tomography (PET) imaging with [123I]-Ioflupane single-photon-emission-computed tomography (SPECT) for dopamine transporter (DaT) availability. METHODS Thirty-eight patients with clinically diagnosed 4R-tauopathies (21 male; 69.0 ± 8.5 years) and 15 patients with clinically diagnosed α-synucleinopathies (8 male; 66.1 ± 10.3 years) who underwent [18F]PI-2620 tau-PET and DaT-SPECT imaging with a time gap of 3 ± 5 months were evaluated. Regional Tau-PET signals and DaT availability as well as their principal components were correlated in patients with 4R-tauopathies and α-synucleinopathies. Both biomarkers and the residuals of their association were correlated with clinical severity scores in 4R-tauopathies. RESULTS In patients with 4R-tauopathies, [18F]PI-2620 binding in basal ganglia and midbrain regions was negatively associated with striatal DaT availability (i.e. globus pallidus internus and putamen (β = - 0.464, p = 0.006, Durbin-Watson statistics = 1.824) in a multiple regression model. Contrarily, [18F]PI-2620 binding in the dentate nucleus showed no significant regression factor with DaT availability in the striatum (β = 0.078, p = 0.662, Durbin-Watson statistics = 1.686). Patients with α-synucleinopathies did not indicate any regional associations between [18F]PI-2620-binding and DaT availability. Higher DaT-SPECT binding relative to tau burden was associated with better clinical performance (β = - 0.522, p = 0.011, Durbin-Watson statistics = 2.663) in patients with 4R-tauopathies. CONCLUSION Tau burden in brain regions involved in dopaminergic pathways is associated with aggravated dopaminergic dysfunction in patients with clinically diagnosed primary tauopathies. The ability to sustain dopamine transmission despite tau accumulation may preserve motor function.
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Affiliation(s)
- Christian Ferschmann
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | | | - Johannes Gnörich
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Ken Marek
- InviCRO, LLC, Boston, MA, USA
- Molecular Neuroimaging, A Division of inviCRO, New Haven, CT, USA
| | - Carla Palleis
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sabrina Katzdobler
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Anna Stockbauer
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Urban Fietzek
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Anika Finze
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Gloria Biechele
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Jost-Julian Rumpf
- Department of Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Dorothee Saur
- Department of Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Matthias L Schroeter
- Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
- LIFE - Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Michael Rullmann
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Florian Eckenweber
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Stephan Wall
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Andreas Schildan
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Marianne Patt
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | | | - Joseph Classen
- Department of Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - John Seibyl
- InviCRO, LLC, Boston, MA, USA
- Molecular Neuroimaging, A Division of inviCRO, New Haven, CT, USA
| | - Nicolai Franzmeier
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
| | - Johannes Levin
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Maximilian Scheifele
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
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7
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Symons GF, Gregg MC, Hicks AJ, Rowe CC, Shultz SR, Ponsford JL, Spitz G. Altered grey matter structural covariance in chronic moderate-severe traumatic brain injury. Sci Rep 2024; 14:1728. [PMID: 38242923 PMCID: PMC10799053 DOI: 10.1038/s41598-023-50396-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/19/2023] [Indexed: 01/21/2024] Open
Abstract
Traumatic brain injury (TBI) alters brain network connectivity. Structural covariance networks (SCNs) reflect morphological covariation between brain regions. SCNs may elucidate how altered brain network topology in TBI influences long-term outcomes. Here, we assessed whether SCN organisation is altered in individuals with chronic moderate-severe TBI (≥ 10 years post-injury) and associations with cognitive performance. This case-control study included fifty individuals with chronic moderate-severe TBI compared to 75 healthy controls recruited from an ongoing longitudinal head injury outcome study. SCNs were constructed using grey matter volume measurements from T1-weighted MRI images. Global and regional SCN organisation in relation to group membership and cognitive ability was examined using regression analyses. Globally, TBI participants had reduced small-worldness, longer characteristic path length, higher clustering, and higher modularity globally (p < 0.05). Regionally, TBI participants had greater betweenness centrality (p < 0.05) in frontal and central areas of the cortex. No significant associations were observed between global network measures and cognitive ability in participants with TBI (p > 0.05). Chronic moderate-severe TBI was associated with a shift towards a more segregated global network topology and altered organisation in frontal and central brain regions. There was no evidence that SCNs are associated with cognition.
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Affiliation(s)
- Georgia F Symons
- Department of Neuroscience, Monash University, 6th Floor, The Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
| | - Matthew C Gregg
- Monash-Epworth Rehabilitation Research Centre, Ground Floor, 185-187 Hoddle St, Richmond, 3121, Australia
| | - Amelia J Hicks
- Monash-Epworth Rehabilitation Research Centre, Ground Floor, 185-187 Hoddle St, Richmond, 3121, Australia
| | - Christopher C Rowe
- Department of Molecular Imaging and Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Sandy R Shultz
- Department of Neuroscience, Monash University, 6th Floor, The Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Health Sciences, Vancouver Island University, 900 Fifth Street, Nanaimo, BC, V9R 5S5, Canada
| | - Jennie L Ponsford
- Monash-Epworth Rehabilitation Research Centre, Ground Floor, 185-187 Hoddle St, Richmond, 3121, Australia
| | - Gershon Spitz
- Department of Neuroscience, Monash University, 6th Floor, The Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Monash-Epworth Rehabilitation Research Centre, Ground Floor, 185-187 Hoddle St, Richmond, 3121, Australia
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8
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Palleis C, Franzmeier N, Weidinger E, Bernhardt AM, Katzdobler S, Wall S, Ferschmann C, Harris S, Schmitt J, Schuster S, Gnörich J, Finze A, Biechele G, Lindner S, Albert NL, Bartenstein P, Sabri O, Barthel H, Rupprecht R, Nuscher B, Stephens AW, Rauchmann BS, Perneczky R, Haass C, Brendel M, Levin J, Höglinger GU. Association of Neurofilament Light Chain, [ 18F]PI-2620 Tau-PET, TSPO-PET, and Clinical Progression in Patients With β-Amyloid-Negative CBS. Neurology 2024; 102:e207901. [PMID: 38165362 PMCID: PMC10834119 DOI: 10.1212/wnl.0000000000207901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Corticobasal syndrome (CBS) with underlying 4-repeat tauopathy is a progressive neurodegenerative disease characterized by declining cognitive and motor functions. Biomarkers for assessing pathologic brain changes in CBS including tau-PET, 18 kDa translocator protein (TSPO)-PET, structural MRI, neurofilament light chain (NfL), or glial fibrillary acidic protein (GFAP) have recently been evaluated for differential diagnosis and disease staging, yet their association with disease trajectories remains unclear. Therefore, we performed a head-to-head comparison of neuroimaging (tau-PET, TSPO-PET, structural MRI) and plasma biomarkers (NfL, GFAP) as prognostic tools for longitudinal clinical trajectories in β-amyloid (Aβ)-negative CBS. METHODS We included patients with clinically diagnosed Aβ-negative CBS with clinical follow-up data who underwent baseline structural MRI and plasma-NfL analysis for assessing neurodegeneration, [18F]PI-2620-PET for assessing tau pathology, [18F]GE-180-PET for assessing microglia activation, and plasma-GFAP analysis for assessing astrocytosis. To quantify tau and microglia load, we assessed summary scores of whole-brain, cortical, and subcortical PET signal. For structural MRI analysis, we quantified subcortical and cortical gray matter volume. Plasma NfL and GFAP values were assessed using Simoa-based immunoassays. Symptom progression was determined using a battery of cognitive and motor tests (i.e., Progressive Supranuclear Palsy Rating Scale [PSPRS]). Using linear mixed models, we tested whether the assessed biomarkers at baseline were associated with faster symptom progression over time (i.e., time × biomarker interaction). RESULTS Overall, 21 patients with Aβ-negative CBS with ∼2-year clinical follow-up data were included. Patients with CBS with more widespread global tau-PET signal showed faster clinical progression (PSPRS: B/SE = 0.001/0.0005, p = 0.025), driven by cortical rather than subcortical tau-PET. By contrast, patients with higher global [18F]GE-180-PET readouts showed slower clinical progression (PSPRS: B/SE = -0.056/0.023, p = 0.019). No association was found between gray matter volume and clinical progression. Concerning fluid biomarkers, only higher plasma-NfL (PSPRS: B/SE = 0.176/0.046, p < 0.001) but not GFAP was associated with faster clinical deterioration. In a subsequent sensitivity analysis, we found that tau-PET, TSPO-PET, and plasma-NfL showed significant interaction effects with time on clinical trajectories when tested in the same model. DISCUSSION [18F]PI-2620 tau-PET, [18F]GE-180 TSPO-PET, and plasma-NfL show prognostic potential for clinical progression in patients with Aβ-negative CBS with probable 4-repeat tauopathy, which can be useful for clinical decision-making and stratifying patients in clinical trials.
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Affiliation(s)
- Carla Palleis
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Nicolai Franzmeier
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Endy Weidinger
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Alexander M Bernhardt
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Sabrina Katzdobler
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Stephan Wall
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Christian Ferschmann
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Stefanie Harris
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Julia Schmitt
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Sebastian Schuster
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Johannes Gnörich
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Anika Finze
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Gloria Biechele
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Simon Lindner
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Nathalie L Albert
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Peter Bartenstein
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Osama Sabri
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Henryk Barthel
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Rainer Rupprecht
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Brigitte Nuscher
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Andrew W Stephens
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Boris-Stephan Rauchmann
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Robert Perneczky
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Christian Haass
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Matthias Brendel
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Johannes Levin
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Günter U Höglinger
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
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Theis H, Bischof GN, Brüggemann N, Dargvainiene J, Drzezga A, Grüter T, Lewerenz J, Leypoldt F, Neumaier B, Wandinger KP, Ayzenberg I, van Eimeren T. In Vivo Measurement of Tau Depositions in Anti-IgLON5 Disease Using [18F]PI-2620 PET. Neurology 2023; 101:e2325-e2330. [PMID: 37879939 PMCID: PMC10727210 DOI: 10.1212/wnl.0000000000207870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/22/2023] [Indexed: 10/27/2023] Open
Abstract
OBJECTIVES Anti-IgLON5 disease is a recently discovered neurologic disorder combining autoimmunity and neurodegeneration. Core manifestations include sleep disorders, bulbar symptoms, gait abnormalities, and cognitive dysfunction, but other presentations have been reported. Hallmarks are autoantibodies targeting the neuronal surface protein IgLON5, a strong human leukocyte antigen system Class II association, and brainstem and hypothalamus-dominant tau deposits. The purpose of this cohort study was to visualize tau deposition in vivo with the second-generation tau-PET tracer. METHODS A cohort of 4 patients with anti-IgLON5 disease underwent a dynamic PET scan with [18F]PI-2620. One patient received a follow-up scan. Z-deviation maps and a 2-sample t test in comparison with healthy controls (n = 10) were performed. Antibody titers, neurofilament light chain, and disease duration were correlated with brainstem binding potentials. RESULTS Patients demonstrated increased [18F]PI2620 tau binding potentials in the pons, dorsal medulla, and cerebellum. The longitudinal scan after 28 months showed an increase of tracer uptake in the medulla despite immunotherapy. Higher antibody titers and neurofilament light chain correlated with higher tracer retention. DISCUSSION The results indicate that tau depositions in anti-IgLON5 disease can be visualized with [18F]PI-2620 and might correlate with the extent of disease. For validation, a larger longitudinal study is necessary.
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Affiliation(s)
- Hendrik Theis
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Gérard N Bischof
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Norbert Brüggemann
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Justina Dargvainiene
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Alexander Drzezga
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Thomas Grüter
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Jan Lewerenz
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Frank Leypoldt
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Bernd Neumaier
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Klaus-Peter Wandinger
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Ilya Ayzenberg
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Thilo van Eimeren
- From the Multimodal Neuroimaging Group (H.T., G.N.B., A.D., T.v.E.), Department of Nuclear Medicine, and Department of Neurology (H.T., T.v.E.), Faculty of Medicine and University Hospital Cologne, University of Cologne; Molecular Organization of the Brain (G.N.B., A.D.), Institute for Neuroscience and Medicine (INM-2), Forschungszentrum J̈lich; Department of Neurology (N.B.), Faculty of Medicine and University Hospital Schleswig Holstein (Lübeck), University of Lübeck; Institute of Clinical Chemistry (J.D., F.L., K.-P.W.), University Hospital Schleswig Holstein, Kiel/Lübeck German Center for Neurodegenerative Diseases (DZNE) (A.D.), Bonn-Cologne; Department of Neurology (T.G., I.A.), Faculty of Medicine and St. Josef-Hospital, Ruhr University Bochum; Department of Neurology (J.L.), Faculty of Medicine and University Hospital Ulm, Ulm University; Department of Neurology (F.L.), Faculty of Medicine and University Hospital Schleswig Holstein, Kiel University; Nuclear Chemistry (B.N.), Institute for Neuroscience and Medicine (INM-5), Forschungszentrum Jülich; and Institute of Radiochemistry and Experimental Molecular Imaging (B.N.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.
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Li J, Kumar A, Långström B, Nordberg A, Ågren H. Insight into the Binding of First- and Second-Generation PET Tracers to 4R and 3R/4R Tau Protofibrils. ACS Chem Neurosci 2023; 14:3528-3539. [PMID: 37639522 PMCID: PMC10515481 DOI: 10.1021/acschemneuro.3c00437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 08/14/2023] [Indexed: 08/31/2023] Open
Abstract
Primary supranuclear palsy (PSP) is a rare neurodegenerative disease that perturbs body movement, eye movement, and walking balance. Similar to Alzheimer's disease (AD), the abnormal aggregation of tau fibrils in the central neuronal and glial cells is a major hallmark of PSP disease. In this study, we use multiple approaches, including docking, molecular dynamics, and metadynamics simulations, to investigate the binding mechanism of 10 first- and second-generations of PET tracers for PSP tau and compare their binding in cortical basal degeneration (CBD) and AD tauopathies. Structure-activity relationships, binding preferences, the nature of ligand binding in terms of basic intermolecular interactions, the role of polar/charged residues, induced-fit mechanisms, grove closures, and folding patterns for the binding of these tracers in PSP, CBD, and AD tau fibrils are evaluated and discussed in detail in order to build a holistic picture of what is essential for the binding and also to rank the potency of the different tracers. For example, we found that the same tracer shows different binding preferences for the surface sites of tau fibrils that are intrinsically distinct in the folding patterns. Results from the metadynamics simulations predict that PMPBB3 and PBB3 exhibit the strongest binding free energies onto the Q276[I277]I278, Q351[S352]K353, and N368[K369]K370 sites of PSP than the other explored tracers, indicating a solid preference for vdW and cation-π interactions. Our results also reproduced known preferences of tracers, namely, that MK6240 binds better to AD tau than CBD tau and PSP tau and that CBD2115, PI2620, and PMPBB3 are 4R tau binders. These findings fill in the well-sought-after knowledge gap in terms of these tracers' potential binding mechanisms and will be important for the design of highly selective novel PET tracers for tauopathies.
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Affiliation(s)
- Junhao Li
- Department
of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden
| | - Amit Kumar
- Department
of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Neo, 141 84 Stockholm, Sweden
| | - Bengt Långström
- Department
of Chemistry - BMC, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden
| | - Agneta Nordberg
- Department
of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Neo, 141 84 Stockholm, Sweden
- Theme
Inflammation and Aging, Karolinska University
Hospital, S-141 86 Stockholm, Sweden
| | - Hans Ågren
- Department
of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden
- College
of Chemistry and Chemical Engineering, Henan
University, Kaifeng, Henan 475004, P. R. China
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11
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Houssein NJ, Henriksen AC, Hejl AM, Marner L. Diagnostic accuracy of cerebral [ 18F]FDG PET in atypical parkinsonism. EJNMMI Res 2023; 13:74. [PMID: 37572162 PMCID: PMC10423182 DOI: 10.1186/s13550-023-01025-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 08/03/2023] [Indexed: 08/14/2023] Open
Abstract
BACKGROUND Atypical parkinsonism (AP) often presents with Parkinson's symptoms but has a much worse long-term prognosis. The diagnosis is presently based on clinical criteria, but a cerebral positron emission tomography (PET) scan with [18F]fluoro-2-deoxy-2-D-glucose ([18F]FDG) may assist in the diagnosis of AP such as multiple system atrophy (MSA), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and Lewy body dementia (DLB). Only few studies have evaluated the sensitivity and specificity of [18F]FDG PET for separating the diseases in a mixed patient population, which we aim to assess in a retrospective material. RESULTS We identified 156 patients referred for a cerebral [18F]FDG PET for suspicion of AP during 2017-2019. The [18F]FDG PET was analysed by a nuclear medicine specialist blinded to clinical information but with access to dopamine transporter imaging. The reference standard was the follow-up clinical diagnosis (follow-up: 6-72 months). The overall accuracy for correct classification was 74%. Classification sensitivity (95% confidence interval, CI) and specificity (95% CI) for MSA (n = 20) were 1.00 (0.83-1.00) and 0.91 (0.85-0.95), for DLB/Parkinson with dementia (PDD) (n = 26) were 0.81 (0.61-0.93) and 0.97 (0.92-0.99) and for CBD/PSP (n = 68) were 0.62 (0.49-0.73) and 0.97 (0.90-0.99). CONCLUSIONS Our results support the additional use of [18F]FDG PET for the clinical diagnosis of AP with moderate to high sensitivity and specificity. Use of [18F]FDG PET may be beneficial for prognosis and supportive treatment of the patients and useful for future clinical treatment trials.
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Affiliation(s)
- Naba Jawad Houssein
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Bispebjerg, Bispebjerg Bakke 23, Copenhagen, Denmark.
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Alexander Cuculiza Henriksen
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Bispebjerg, Bispebjerg Bakke 23, Copenhagen, Denmark
| | - Anne-Mette Hejl
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Bispebjerg, Bispebjerg Bakke 23, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Sasikumar S, Strafella AP. Structural and Molecular Imaging for Clinically Uncertain Parkinsonism. Semin Neurol 2023; 43:95-105. [PMID: 36878467 DOI: 10.1055/s-0043-1764228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
Neuroimaging is an important adjunct to the clinical assessment of Parkinson disease (PD). Parkinsonism can be challenging to differentiate, especially in early disease stages, when it mimics other movement disorders or when there is a poor response to dopaminergic therapies. There is also a discrepancy between the phenotypic presentation of degenerative parkinsonism and the pathological outcome. The emergence of more sophisticated and accessible neuroimaging can identify molecular mechanisms of PD, the variation between clinical phenotypes, and the compensatory mechanisms that occur with disease progression. Ultra-high-field imaging techniques have improved spatial resolution and contrast that can detect microstructural changes, disruptions in neural pathways, and metabolic and blood flow alterations. We highlight the imaging modalities that can be accessed in clinical practice and recommend an approach to the diagnosis of clinically uncertain parkinsonism.
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Affiliation(s)
- Sanskriti Sasikumar
- Morton and Gloria Shulman Movement Disorder Unit and Edmond J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, University of Toronto, Toronto Western Hospital, UHN, Ontario, Canada
| | - Antonio P Strafella
- Morton and Gloria Shulman Movement Disorder Unit and Edmond J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, University of Toronto, Toronto Western Hospital, UHN, Ontario, Canada.,Krembil Brain Institute, University Health Network and Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
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13
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The challenging quest of neuroimaging: From clinical to molecular-based subtyping of Parkinson disease and atypical parkinsonisms. HANDBOOK OF CLINICAL NEUROLOGY 2023; 192:231-258. [PMID: 36796945 DOI: 10.1016/b978-0-323-85538-9.00004-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
The current framework of Parkinson disease (PD) focuses on phenotypic classification despite its considerable heterogeneity. We argue that this method of classification has restricted therapeutic advances and therefore limited our ability to develop disease-modifying interventions in PD. Advances in neuroimaging have identified several molecular mechanisms relevant to PD, variation within and between clinical phenotypes, and potential compensatory mechanisms with disease progression. Magnetic resonance imaging (MRI) techniques can detect microstructural changes, disruptions in neural pathways, and metabolic and blood flow alterations. Positron emission tomography (PET) and single-photon emission computed tomography (SPECT) imaging have informed the neurotransmitter, metabolic, and inflammatory dysfunctions that could potentially distinguish disease phenotypes and predict response to therapy and clinical outcomes. However, rapid advancements in imaging techniques make it challenging to assess the significance of newer studies in the context of new theoretical frameworks. As such, there needs to not only be a standardization of practice criteria in molecular imaging but also a rethinking of target approaches. In order to harness precision medicine, a coordinated shift is needed toward divergent rather than convergent diagnostic approaches that account for interindividual differences rather than similarities within an affected population, and focus on predictive patterns rather than already lost neural activity.
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14
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Shimohama S, Tezuka T, Takahata K, Bun S, Tabuchi H, Seki M, Momota Y, Suzuki N, Morimoto A, Iwabuchi Y, Kubota M, Yamamoto Y, Sano Y, Shikimoto R, Funaki K, Mimura Y, Nishimoto Y, Ueda R, Jinzaki M, Nakahara J, Mimura M, Ito D. Impact of Amyloid and Tau PET on Changes in Diagnosis and Patient Management. Neurology 2023; 100:e264-e274. [PMID: 36175151 DOI: 10.1212/wnl.0000000000201389] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 08/26/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Previous studies have evaluated the diagnostic effect of amyloid PET in selected research cohorts. However, these studies did not assess the clinical impact of the combination of amyloid and tau PETs. Our objective was to evaluate the association of the combination of 2 PETs with changes in diagnosis, treatment, and management in a memory clinic cohort. METHODS All participants underwent amyloid [18F]florbetaben PET and tau PET using [18F]PI-2620 or [18F]Florzolotau, which are potentially useful for the diagnosis of non-Alzheimer disease (AD) tauopathies. Dementia specialists determined a pre- and post-PET diagnosis that existed in both a clinical syndrome (cognitive normal [CN], mild cognitive impairment [MCI], and dementia) and suspected etiology, with a confidence level. In addition, the dementia specialists determined patient treatment in terms of ancillary investigations and management. RESULTS Among 126 registered participants, 84.9% completed the study procedures and were included in the analysis (CN [n = 40], MCI [n = 25], AD [n = 20], and non-AD dementia [n = 22]). The etiologic diagnosis changed in 25.0% in the CN, 68.0% in the MCI, and 23.8% with dementia. Overall changes in management between pre- and post-PET occurred in 5.0% of CN, 52.0% of MCI, and 38.1% of dementia. Logistic regression analysis revealed that tau PET has stronger associations with change management than amyloid PET in all participants and dementia groups. DISCUSSION The combination of amyloid and tau PETs was associated with changes in management and diagnosis of MCI and dementia, and the second-generation tau PET has a strong impact on the changes in diagnosis and management in memory clinics. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that the combination of amyloid and tau PETs was associated with changes in management and diagnosis of MCI and dementia.
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Affiliation(s)
- Sho Shimohama
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Toshiki Tezuka
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Keisuke Takahata
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Shogyoku Bun
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Hajime Tabuchi
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Morinobu Seki
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Yuki Momota
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Natsumi Suzuki
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Ayaka Morimoto
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Yu Iwabuchi
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Masahito Kubota
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Yasuharu Yamamoto
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Yasunori Sano
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Ryo Shikimoto
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Kei Funaki
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Yu Mimura
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Yoshinori Nishimoto
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Ryo Ueda
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Masahiro Jinzaki
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Jin Nakahara
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Masaru Mimura
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan
| | - Daisuke Ito
- From the Departments of Neurology (S.S., T.T., M.S., M.K., Y.N., J.N.), Neuropsychiatry (T.K., S.B., H.T., Yuki Momota, N.S., A.M., Y.Y., Y.S., R.S., K.F., Yu Mimura, M.M.), Radiology (Y.I., M.J.), Physiology (D.I.), and Memory Center (D.I.), Keio University School of Medicine, Tokyo; Department of Functional Brain Imaging (T.K.), Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology (QST), Chiba; and Office of Radiation Technology (R.U.), Keio University Hospital, Tokyo, Japan.
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15
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Seibyl JP. Imaging Biomarkers for Central Nervous System Drug Development and Future Clinical Utility: Lessons from Neurodegenerative Disorders. J Nucl Med 2023; 64:12-19. [PMID: 36302659 DOI: 10.2967/jnumed.122.264773] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/28/2022] [Accepted: 09/28/2022] [Indexed: 01/07/2023] Open
Abstract
Diseases of the central nervous system are common and often chronic conditions associated with significant morbidity. In particular, neurodegenerative disorders including Alzheimer and Parkinson disease constitute a major health and socioeconomic challenge, with an increasing incidence in many industrialized countries with aging populations. Recent work has established the primary role of abnormal protein accumulation and the spread of disease-specific deposits in brain as a factor in neurotoxicity and disruption of functional networks. A range of therapeutics from small molecules to antibodies targeting these proteinopathies are now in phase 2 and phase 3 clinical trials. These studies are methodologically challenging because of difficulty in accurately diagnosing early disease, the slow and variable rates of progression between individuals, and efficacy measures that may be cofounded by symptomatic improvements due to treatment but not reflecting disease course modification. Further, the ideal candidates for these treatments would be at-risk, or premanifest, persons in whom the pathologic process of the neurodegenerative disorder has begun but who are clinically normal and extremely difficult to identify. Scintigraphic imaging with PET and SPECT in trials offers the opportunity to interrogate pathophysiologic processes such as protein deposition with high specificity. This review summarizes the current implementation of these imaging biomarkers and the implications for future management of neurodegenerative disorders and central nervous system drug development in general.
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Affiliation(s)
- John P Seibyl
- Institute for Neurodegenerative Disorders, New Haven, Connecticut
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16
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Madetko-Alster N, Alster P, Migda B, Nieciecki M, Koziorowski D, Królicki L. The Use of Cerebellar Hypoperfusion Assessment in the Differential Diagnosis of Multiple System Atrophy with Parkinsonism and Progressive Supranuclear Palsy-Parkinsonism Predominant. Diagnostics (Basel) 2022; 12:diagnostics12123022. [PMID: 36553028 PMCID: PMC9776891 DOI: 10.3390/diagnostics12123022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/21/2022] [Accepted: 11/29/2022] [Indexed: 12/05/2022] Open
Abstract
The differential diagnosis of MSA-P and PSP-P remains a difficult issue in clinical practice due to their overlapping clinical manifestation and the lack of tools enabling a definite diagnosis ante-mortem. This paper describes the usefulness of SPECT HMPAO in MSA-P and PSP-P differentiation through the analysis of cerebellar perfusion of small ROIs. Thirty-one patients were included in the study—20 with MSA-P and 11 with PSP-P; the analysis performed indicated that the most significant difference in perfusion was observed in the anterior quadrangular lobule (H IV and V) on the left side (p < 0.0026). High differences in the median perfusion between the groups were also observed in a few other regions, with p < 0.05, but higher than premised p = 0.0026 (the Bonferroni correction was used in the statistical analysis). The assessment of the perfusion may be interpreted as a promising method of additional examination of atypical parkinsonisms with overlapping clinical manifestation, as in the case of PSP-P and MSA-P. The results obtained suggest that the interpretation of the differences in perfusion of the cerebellum should be made by evaluating the subregions of the cerebellum rather than the hemispheres. Further research is required.
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Affiliation(s)
- Natalia Madetko-Alster
- Department of Neurology, Medical University of Warsaw, Kondratowicza 8, 03-242 Warsaw, Poland
- Correspondence:
| | - Piotr Alster
- Department of Neurology, Medical University of Warsaw, Kondratowicza 8, 03-242 Warsaw, Poland
| | - Bartosz Migda
- Diagnostic Ultrasound Lab, Department of Pediatric Radiology, Medical University of Warsaw, ul. Kondratowicza 8, 03-242 Warsaw, Poland
| | - Michał Nieciecki
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation, st. Spartańska 1, 02-637 Warsaw, Poland
| | - Dariusz Koziorowski
- Department of Neurology, Medical University of Warsaw, Kondratowicza 8, 03-242 Warsaw, Poland
| | - Leszek Królicki
- Department of Nuclear Medicine, Medical University of Warsaw, ul. Banacha 1a, 02-097 Warsaw, Poland
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17
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Endo H, Tagai K, Ono M, Ikoma Y, Oyama A, Matsuoka K, Kokubo N, Hirata K, Sano Y, Oya M, Matsumoto H, Kurose S, Seki C, Shimizu H, Kakita A, Takahata K, Shinotoh H, Shimada H, Tokuda T, Kawamura K, Zhang M, Oishi K, Mori S, Takado Y, Higuchi M. A Machine Learning-Based Approach to Discrimination of Tauopathies Using [ 18 F]PM-PBB3 PET Images. Mov Disord 2022; 37:2236-2246. [PMID: 36054492 PMCID: PMC9805085 DOI: 10.1002/mds.29173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/03/2022] [Accepted: 07/10/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND We recently developed a positron emission tomography (PET) probe, [18 F]PM-PBB3, to detect tau lesions in diverse tauopathies, including mixed three-repeat and four-repeat (3R + 4R) tau fibrils in Alzheimer's disease (AD) and 4R tau aggregates in progressive supranuclear palsy (PSP). For wider availability of this technology for clinical settings, bias-free quantitative evaluation of tau images without a priori disease information is needed. OBJECTIVE We aimed to establish tau PET pathology indices to characterize PSP and AD using a machine learning approach and test their validity and tracer capabilities. METHODS Data were obtained from 50 healthy control subjects, 46 patients with PSP Richardson syndrome, and 37 patients on the AD continuum. Tau PET data from 114 regions of interest were subjected to Elastic Net cross-validation linear classification analysis with a one-versus-the-rest multiclass strategy to obtain a linear function that discriminates diseases by maximizing the area under the receiver operating characteristic curve. We defined PSP- and AD-tau scores for each participant as values of the functions optimized for differentiating PSP (4R) and AD (3R + 4R), respectively, from others. RESULTS The discriminatory ability of PSP- and AD-tau scores assessed as the area under the receiver operating characteristic curve was 0.98 and 1.00, respectively. PSP-tau scores correlated with the PSP rating scale in patients with PSP, and AD-tau scores correlated with Mini-Mental State Examination scores in healthy control-AD continuum patients. The globus pallidus and amygdala were highlighted as regions with high weight coefficients for determining PSP- and AD-tau scores, respectively. CONCLUSIONS These findings highlight our technology's unbiased capability to identify topologies of 3R + 4R versus 4R tau deposits. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Hironobu Endo
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Kenji Tagai
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Maiko Ono
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Yoko Ikoma
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Asaka Oyama
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Kiwamu Matsuoka
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Naomi Kokubo
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Kosei Hirata
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Yasunori Sano
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Masaki Oya
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Hideki Matsumoto
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan,Department of Oral and Maxillofacial RadiologyTokyo Dental CollegeTokyoJapan
| | - Shin Kurose
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Chie Seki
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Hiroshi Shimizu
- Department of Pathology, Brain Research InstituteNiigata UniversityNiigataJapan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research InstituteNiigata UniversityNiigataJapan
| | - Keisuke Takahata
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | | | - Hitoshi Shimada
- Department of Functional Neurology & Neurosurgery, Center for Integrated Human Brain Science, Brain Research InstituteNiigata UniversityNiigataJapan
| | - Takahiko Tokuda
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Kazunori Kawamura
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Ming‐Rong Zhang
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Kenichi Oishi
- The Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Susumu Mori
- The Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Yuhei Takado
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
| | - Makoto Higuchi
- Institute for Quantum Medical Science, Quantum Life and Medical Science DirectorateNational Institutes for Quantum Science and TechnologyChibaJapan
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18
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Bartos LM, Kunte ST, Beumers P, Xiang X, Wind K, Ziegler S, Bartenstein P, Choi H, Lee DS, Haass C, von Baumgarten L, Tahirovic S, Albert NL, Lindner S, Brendel M. Single-Cell Radiotracer Allocation via Immunomagnetic Sorting to Disentangle PET Signals at Cellular Resolution. J Nucl Med 2022; 63:1459-1462. [PMID: 35589403 PMCID: PMC9536696 DOI: 10.2967/jnumed.122.264171] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 05/16/2022] [Indexed: 11/16/2022] Open
Abstract
With great interest, our independent groups of scientists located in Korea and Germany recognized the use of a very similar methodologic approach to quantify the uptake of radioactive glucose (18F-FDG) at the cellular level. The focus of our investigations was to disentangle microglial 18F-FDG uptake. To do so, CD11b immunomagnetic cell sorting was applied to isolate microglia cells after in vivo 18F-FDG injection, to allow simple quantification via a γ-counter. Importantly, this technique reveals a snapshot of cellular glucose uptake in living mice at the time of injection since 18F-FDG is trapped by hexokinase phosphorylation without a further opportunity to be metabolized. Both studies indicated high 18F-FDG uptake of single CD11b-positive microglia cells and a significant increase in microglial 18F-FDG uptake when this cell type is activated in the presence of amyloid pathology. Furthermore, another study noticed that immunomagnetic cell sorting after tracer injection facilitated determination of high 18F-FDG uptake in myeloid cells in a range of tumor models. Here, we aim to discuss the rationale for single-cell radiotracer allocation via immunomagnetic cell sorting (scRadiotracing) by providing examples of promising applications of this innovative technology in neuroscience, oncology, and radiochemistry.
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Affiliation(s)
- Laura M Bartos
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Sebastian T Kunte
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Philipp Beumers
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Xianyuan Xiang
- Biomedical Center, Division of Metabolic Biochemistry, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, and Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Karin Wind
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Sibylle Ziegler
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
| | - Hongyoon Choi
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Soo Lee
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
| | - Christian Haass
- Biomedical Center, Division of Metabolic Biochemistry, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, and Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - Louisa von Baumgarten
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany; and
- German Cancer Consortium, Munich, Germany
| | | | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany;
- Munich Cluster for Systems Neurology, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
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19
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Prange S, Theis H, Banwinkler M, van Eimeren T. Molecular Imaging in Parkinsonian Disorders—What’s New and Hot? Brain Sci 2022; 12:brainsci12091146. [PMID: 36138882 PMCID: PMC9496752 DOI: 10.3390/brainsci12091146] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 12/02/2022] Open
Abstract
Highlights Abstract Neurodegenerative parkinsonian disorders are characterized by a great diversity of clinical symptoms and underlying neuropathology, yet differential diagnosis during lifetime remains probabilistic. Molecular imaging is a powerful method to detect pathological changes in vivo on a cellular and molecular level with high specificity. Thereby, molecular imaging enables to investigate functional changes and pathological hallmarks in neurodegenerative disorders, thus allowing to better differentiate between different forms of degenerative parkinsonism, improve the accuracy of the clinical diagnosis and disentangle the pathophysiology of disease-related symptoms. The past decade led to significant progress in the field of molecular imaging, including the development of multiple new and promising radioactive tracers for single photon emission computed tomography (SPECT) and positron emission tomography (PET) as well as novel analytical methods. Here, we review the most recent advances in molecular imaging for the diagnosis, prognosis, and mechanistic understanding of parkinsonian disorders. First, advances in imaging of neurotransmission abnormalities, metabolism, synaptic density, inflammation, and pathological protein aggregation are reviewed, highlighting our renewed understanding regarding the multiplicity of neurodegenerative processes involved in parkinsonian disorders. Consequently, we review the role of molecular imaging in the context of disease-modifying interventions to follow neurodegeneration, ensure stratification, and target engagement in clinical trials.
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Affiliation(s)
- Stéphane Prange
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
- Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, Université de Lyon, 69675 Bron, France
- Correspondence: (S.P.); (T.v.E.); Tel.: +49-221-47882843 (T.v.E.)
| | - Hendrik Theis
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
- Department of Neurology, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
| | - Magdalena Banwinkler
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
| | - Thilo van Eimeren
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
- Department of Neurology, Faculty of Medicine, University Hospital of Cologne, University of Cologne, 50937 Cologne, Germany
- Correspondence: (S.P.); (T.v.E.); Tel.: +49-221-47882843 (T.v.E.)
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20
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Li Y, Liu T, Cui M. Recent development in selective Tau tracers for PET imaging in the brain. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.03.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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21
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Künze G, Kümpfel R, Rullmann M, Barthel H, Brendel M, Patt M, Sabri O. Molecular Simulations Reveal Distinct Energetic and Kinetic Binding Properties of [ 18F]PI-2620 on Tau Filaments from 3R/4R and 4R Tauopathies. ACS Chem Neurosci 2022; 13:2222-2234. [PMID: 35762647 DOI: 10.1021/acschemneuro.2c00291] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Tauopathies are a class of neurodegenerative disorders characterized by the accumulation of tau protein filaments in the brain. On the basis of isoforms with three or four microtubule-binding repeats (3R or 4R) that constitute tau filaments, tauopathies can be divided into 3R, 4R, and 3R/4R tauopathies. [18F]PI-2620 is a tau-positron emission tomography (PET) tracer that detects tau filaments in the 3R/4R tauopathy Alzheimer's disease (AD) and the 4R tauopathies corticobasal degeneration (CBD) and progressive supranuclear palsy (PSP) with differential binding characteristics. A multiscale simulation workflow, including molecular docking, molecular dynamics simulation, metadynamics, and Brownian dynamics, was applied to uncover the molecular basis for the different binding properties of [18F]PI-2620 in these tauopathies. The energetically best binding sites of [18F]PI-2620 in the AD-tau filament are located in the C-shaped groove of the filament core structure that is accessible to the outside. The most favorable binding sites in CBD-tau and PSP-tau filaments are localized to cavities in the inner filament core. Sites on the outer surface have higher binding free energies, and interaction of [18F]PI-2620 at these sites was short-lived in the molecular dynamics simulations. Computationally predicted associated rates of [18F]PI-2620 with the groove sites in the AD-tau filament were higher than association rates with the cavity sites in the CBD- and PSP-tau filaments. The results indicate that tau filaments in AD combine favorable energetic and kinetic properties with regard to tracer binding, while the binding of [18F]PI-2620 to filaments in CBD and PSP is kinetically restricted. Our findings reveal that distinct structural, energetic, and kinetic properties of tau filaments from AD, CBD, and PSP govern their interaction with PET tracers, which highlights the possibility to achieve tau isoform specificity in future tracer developments.
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Affiliation(s)
- Georg Künze
- Institute for Drug Discovery, University of Leipzig, 04103 Leipzig, Germany
| | - Richy Kümpfel
- Institute for Drug Discovery, University of Leipzig, 04103 Leipzig, Germany
| | - Michael Rullmann
- Department of Nuclear Medicine, University of Leipzig, Leipzig 04103, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig 04103, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, 81377 Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich 81377, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich 81377, Germany
| | - Marianne Patt
- Department of Nuclear Medicine, University of Leipzig, Leipzig 04103, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University of Leipzig, Leipzig 04103, Germany
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22
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Combined CSF α-SYN RT-QuIC, CSF NFL and midbrain-pons planimetry in degenerative parkinsonisms: From bedside to bench, and back again. Parkinsonism Relat Disord 2022; 99:33-41. [PMID: 35594661 DOI: 10.1016/j.parkreldis.2022.05.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/29/2022] [Accepted: 05/08/2022] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Differential diagnosis between Parkinson's disease (PD) and atypical parkinsonisms (APs: multiple system atrophy[MSA], progressive supranuclear palsy[PSP], corticobasal degeneration[CBD]) remains challenging. Lately, cerebrospinal fluid (CSF) studies of neurofilament light-chain (NFL) and RT-QuIC of alpha-synuclein (α-SYN) have shown promise, but data on their combination with MRI measures is lacking. OBJECTIVE (1) to assess the combined diagnostic ability of CSF RT-QuIC α-SYN, CSF NFL and midbrain/pons MRI planimetry in degenerative parkinsonisms; (2) to evaluate if biomarker-signatures relate to clinical diagnoses and whether or not unexpected findings can guide diagnostic revision. METHODS We collected demographic and clinical data and set up α-SYN RT-QuIC at our lab in a cross-sectional cohort of 112 participants: 19 control subjects (CSs), 20PD, 37MSA, 23PSP, and 13CBD cases. We also determined CSF NFL by ELISA and, in 74 participants (10CSs, 9PD, 26MSA, 19PSP, 10CBD), automatized planimetric midbrain/pons areas from 3T-MRI. RESULTS Sensitivity of α-SYN RT-QuIC for PD was 75% increasing to 81% after revisiting clinical diagnoses with aid of biomarkers. Sensitivity for MSA was 12% but decreased to 9% with diagnostic revision. Specificities were 100% against CSs, and 89% against tauopathies raising to 91% with diagnostic revision. CSF NFL was significantly higher in APs. The combination of biomarkers yielded high diagnostic accuracy (PD vs. non-PD AUC = 0.983; MSA vs. non-MSA AUC = 0.933; tauopathies vs. non-tauopathies AUC = 0.924). Biomarkers-signatures fitted in most cases with clinical classification. CONCLUSIONS The combination of CSF NFL, CSF RT-QuIC α-SYN and midbrain/pons MRI measures showed high discriminant ability across all groups. Results opposite to expected can assist diagnostic reclassification.
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23
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Nakano Y, Shimada H, Shinotoh H, Hirano S, Tagai K, Sano Y, Yamamoto Y, Endo H, Matsuoka K, Takahata K, Kubota M, Takado Y, Kimura Y, Ichise M, Ono M, Sahara N, Kawamura K, Zhang MR, Kuwabara S, Suhara T, Higuchi M. PET-based classification of corticobasal syndrome. Parkinsonism Relat Disord 2022; 98:92-98. [PMID: 35533530 DOI: 10.1016/j.parkreldis.2022.04.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 03/16/2022] [Accepted: 04/21/2022] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Corticobasal degeneration (CBD) is the most common neuropathological substrate for clinically diagnosed corticobasal syndrome (CBS), while identifying CBD pathology in living individuals has been challenging. This study aimed to examine the capability of positron emission tomography (PET) to detect CBD-type tau depositions and neuropathological classification of CBS. METHODS Sixteen CBS cases diagnosed by Cambridge's criteria and 12 cognitively healthy controls (HCs) underwent PET scans with 11C-PiB, 11C-PBB3, and 18F-FDG, along with T1-weighted magnetic resonance imaging. Amyloid positivity was assessed by visual inspection of 11C-PiB retentions. Tau positivity was judged by quantitative comparisons of 11C-PBB3 binding to HCs. RESULTS Sixteen CBS cases consisted of two cases (13%) with amyloid and tau positivities indicative of Alzheimer's disease (AD) pathologies, 11 cases (69%) with amyloid negativity and tau positivity, and three cases (19%) with amyloid and tau negativities. Amyloid(-), tau(+) CBS cases showed increased retentions of 11C-PBB3 in the frontoparietal areas, basal ganglia, and midbrain, and reduced metabolism in the precentral gyrus and thalamus relative to HCs. The enhanced tau probe retentions in the frontal gray and white matters partially overlapped with metabolic deficits and atrophy and correlated with Clinical Dementia Rating scores. CONCLUSIONS PET-based classification of CBS was in accordance with previous neuropathological reports on the prevalences of AD, non-AD tauopathies, and others in CBS. The current work suggests that 11C-PBB3-PET may assist the biological classification of CBS and understanding of links between CBD-type tau depositions and neuronal deteriorations leading to cognitive declines.
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Affiliation(s)
- Yoshikazu Nakano
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan; Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan; Department of Neurology, Chibaken Saiseikai Narashino Hospital, Narashino, Japan
| | - Hitoshi Shimada
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan; Department of Functional Neurology & Neurosurgery, Brain Research Institute, Niigata University, Niigata, Japan
| | - Hitoshi Shinotoh
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan; Neurology Clinic Chiba, Chiba, Japan
| | - Shigeki Hirano
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan; Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Kenji Tagai
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yasunori Sano
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yasuharu Yamamoto
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Hironobu Endo
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Kiwamu Matsuoka
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Keisuke Takahata
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Manabu Kubota
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yuhei Takado
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yasuyuki Kimura
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan; National Center for Geriatrics and Gerontology, Obu, Japan
| | - Masanori Ichise
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Maiko Ono
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Naruhiko Sahara
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Kazunori Kawamura
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Ming-Rong Zhang
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Tetsuya Suhara
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Makoto Higuchi
- National Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan.
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24
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Maschio C, Ni R. Amyloid and Tau Positron Emission Tomography Imaging in Alzheimer’s Disease and Other Tauopathies. Front Aging Neurosci 2022; 14:838034. [PMID: 35527737 PMCID: PMC9074832 DOI: 10.3389/fnagi.2022.838034] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/24/2022] [Indexed: 12/11/2022] Open
Abstract
The detection and staging of Alzheimer’s disease (AD) using non-invasive imaging biomarkers is of substantial clinical importance. Positron emission tomography (PET) provides readouts to uncover molecular alterations in the brains of AD patients with high sensitivity and specificity. A variety of amyloid-β (Aβ) and tau PET tracers are already available for the clinical diagnosis of AD, but there is still a lack of imaging biomarkers with high affinity and selectivity for tau inclusions in primary tauopathies, such as progressive supranuclear palsy (PSP), corticobasal degeneration (CBD) and Pick’s disease (PiD). This review aims to provide an overview of the existing Aβ and tau PET imaging biomarkers and their binding properties from in silico, in vitro, and in vivo assessment. Imaging biomarkers for pathologic proteins are vital for clinical diagnosis, disease staging and monitoring of the potential therapeutic approaches of AD. Off-target binding of radiolabeled tracers to white matter or other neural structures is one confounding factor when interpreting images. To improve binding properties such as binding affinity and to eliminate off-target binding, second generation of tau PET tracers have been developed. To conclude, we further provide an outlook for imaging tauopathies and other pathological features of AD and primary tauopathies.
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Affiliation(s)
- Cinzia Maschio
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
- *Correspondence: Cinzia Maschio,
| | - Ruiqing Ni
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering, ETH Zürich and University of Zurich, Zurich, Switzerland
- Ruiqing Ni,
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25
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Zhang Y, Wu KM, Yang L, Dong Q, Yu JT. Tauopathies: new perspectives and challenges. Mol Neurodegener 2022; 17:28. [PMID: 35392986 PMCID: PMC8991707 DOI: 10.1186/s13024-022-00533-z] [Citation(s) in RCA: 94] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/23/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Tauopathies are a class of neurodegenerative disorders characterized by neuronal and/or glial tau-positive inclusions. MAIN BODY Clinically, tauopathies can present with a range of phenotypes that include cognitive/behavioral-disorders, movement disorders, language disorders and non-specific amnestic symptoms in advanced age. Pathologically, tauopathies can be classified based on the predominant tau isoforms that are present in the inclusion bodies (i.e., 3R, 4R or equal 3R:4R ratio). Imaging, cerebrospinal fluid (CSF) and blood-based tau biomarkers have the potential to be used as a routine diagnostic strategy and in the evaluation of patients with tauopathies. As tauopathies are strongly linked neuropathologically and genetically to tau protein abnormalities, there is a growing interest in pursuing of tau-directed therapeutics for the disorders. Here we synthesize emerging lessons on tauopathies from clinical, pathological, genetic, and experimental studies toward a unified concept of these disorders that may accelerate the therapeutics. CONCLUSIONS Since tauopathies are still untreatable diseases, efforts have been made to depict clinical and pathological characteristics, identify biomarkers, elucidate underlying pathogenesis to achieve early diagnosis and develop disease-modifying therapies.
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Affiliation(s)
- Yi Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, 12th Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Kai-Min Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, 12th Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Liu Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, 12th Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, 12th Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, 12th Wulumuqi Zhong Road, Shanghai, 200040 China
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26
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Levy JP, Bezgin G, Savard M, Pascoal TA, Finger E, Laforce R, Sonnen JA, Soucy JP, Gauthier S, Rosa-Neto P, Ducharme S. 18F-MK-6240 tau-PET in genetic frontotemporal dementia. Brain 2021; 145:1763-1772. [PMID: 34664612 PMCID: PMC9166561 DOI: 10.1093/brain/awab392] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 08/25/2021] [Accepted: 09/10/2021] [Indexed: 11/28/2022] Open
Abstract
Tau is one of several proteins associated with frontotemporal dementia. While knowing which protein is causing a patient’s disease is crucial, no biomarker currently exists for identifying tau in vivo in frontotemporal dementia. The objective of this study was to investigate the potential for the promising 18F-MK-6240 PET tracer to bind to tau in vivo in genetic frontotemporal dementia. We enrolled subjects with genetic frontotemporal dementia, who constitute an ideal population for testing because their pathology is already known based on their mutation. Ten participants (three with symptomatic P301L and R406W MAPT mutations expected to show tau binding, three with presymptomatic MAPT mutations and four with non-tau mutations who acted as disease controls) underwent clinical characterization, tau-PET scanning with 18F-MK-6240, amyloid-PET imaging with 18F-NAV-4694 to rule out confounding Alzheimer’s pathology, and high-resolution structural MRI. Tau-PET scans of all three symptomatic MAPT carriers demonstrated at least mild 18F-MK-6240 binding in expected regions, with particularly strong binding in a subject with an R406W MAPT mutation (known to be associated with Alzheimer’s like neurofibrillary tangles). Two asymptomatic MAPT carriers estimated to be 5 years from disease onset both showed modest 18F-MK-6240 binding, while one ∼30 years from disease onset did not exhibit any binding. Additionally, four individuals with symptomatic frontotemporal dementia caused by a non-tau mutation were scanned (two C9orf72; one GRN; one VCP): 18F-MK-6240 scans were negative for three subjects, while one advanced C9orf72 case showed minimal regionally non-specific binding. All 10 amyloid-PET scans were negative. Furthermore, a general linear model contrasting genetic frontotemporal dementia subjects to a set of 83 age-matched controls showed significant binding only in the MAPT carriers in selected frontal, temporal and subcortical regions. In summary, our findings demonstrate mild but significant binding of MK-6240 in amyloid-negative P301L and R406W MAPT mutation subjects, with higher standardized uptake value ratio in the R406W mutation associated with the presence of NFTs, and little non-specific binding. These results highlight that a positive 18F-MK-6240 tau-PET does not necessarily imply a diagnosis of Alzheimer’s disease and point towards a potential use for 18F-MK-6240 as a biomarker in certain tauopathies beyond Alzheimer’s, although further patient recruitment and autopsy studies will be necessary to determine clinical applicability.
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Affiliation(s)
- Jake P Levy
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Gleb Bezgin
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Montreal, QC H4H 1R3, Canada
| | - Melissa Savard
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Montreal, QC H4H 1R3, Canada
| | - Tharick A Pascoal
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Montreal, QC H4H 1R3, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Parkwood Institute, Lawson Health Research Institute, University of Western Ontario, London, ON, Canada
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques du CHU de Québec, Faculté de Médecine, Université Laval, QC, Canada
| | - Joshua A Sonnen
- Departments of Pathology, Neurology and Neurosurgery, Montreal Neurological Institute, McGill University
| | - Jean-Paul Soucy
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Serge Gauthier
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Montreal, QC H4H 1R3, Canada
| | - Pedro Rosa-Neto
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.,Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Montreal, QC H4H 1R3, Canada
| | - Simon Ducharme
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.,Douglas Mental Health University Institute, Department of Psychiatry, Montreal, QC H4H 1R3, Canada
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27
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Zhou Y, Li J, Nordberg A, Ågren H. Dissecting the Binding Profile of PET Tracers to Corticobasal Degeneration Tau Fibrils. ACS Chem Neurosci 2021; 12:3487-3496. [PMID: 34464084 PMCID: PMC8447187 DOI: 10.1021/acschemneuro.1c00536] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
![]()
Alzheimer’s
disease and primary tauopathies are characterized
by the presence of tau pathology in brain. Several tau positron emission
tomography (PET) tracers have been developed and studied in Alzheimer’s
disease (AD), but there is still a lack of 4R-tau specific tracers
for non-AD tauopathies. We here present the first computational study
on the binding profiles of four tau different PET tracers, PI2620,
CBD2115, PM-PBB3, and MK6240, to corticobasal degeneration (CBD) tau.
The in silico results showed different preferences
for the various binding sites on the 4R fibril, and especially an
entry site, a concave site, and a core site showed high binding affinity
to these tracers. The core site and entry site both showed higher
binding affinity than the surface sites, but the tracers were less
likely to enter these sites. PI2620, CBD2115, and PM-PBB3 all showed
higher binding affinities to CBD tau than the 3R/4R tracer MK6240.
The same strategy has also been applied to AD tau fibrils, and significant
differences in selectivity of binding sites were also observed. A
higher binding affinity was observed for CBD2115 and PM-PBB3 to AD
tau compared to PI2620. None of the studied tracers showed a selectivity
for 4R compared to 3R/4R tau. This study clearly shows that identified
binding sites from cryo-EM with low resolution can be further refined
by metadynamics simulations in order to provide atomic resolution
of the binding modes as well as of the thermodynamic properties.
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Affiliation(s)
- Yang Zhou
- Department of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden
| | - Junhao Li
- Department of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden
| | - Agneta Nordberg
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 84, Stockholm, Sweden
- Theme Aging Karolinska University Hospital, S-141 86 Stockholm, Sweden
| | - Hans Ågren
- Department of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden
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The Evaluation of Tau Deposition with [ 18F]PI-2620 by Using a Semiquantitative Method in Cognitively Normal Subjects and Patients with Mild Cognitive Impairment and Alzheimer's Disease. Mol Imaging 2021; 2021:6640054. [PMID: 34381315 PMCID: PMC8328488 DOI: 10.1155/2021/6640054] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 05/18/2021] [Accepted: 06/22/2021] [Indexed: 11/18/2022] Open
Abstract
Background Some studies have reported the effectiveness of [18F]PI-2620 as an effective tau-binding radiotracer; however, few reports have applied semiquantitative analysis to the tracer. Therefore, this study's aim was to perform a semiquantitative analysis of [18F]PI-2620 in individuals with normal cognition and patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Methods Twenty-six cognitively normal (CN) subjects, 7 patients with AD, and 36 patients with MCI were enrolled. A dynamic positron emission tomography (PET) scan was performed 30–75 min postinjection. PET and T1-weighted magnetic resonance imaging scans were coregistered. The standardized uptake value ratio (SUVr) was used for semiquantitative analysis. The P-Mod software was applied to create volumes of interest. The ANOVA and post hoc Tukey HSD were used for statistical analysis. Results In the AD group, the occipital lobe had a significantly higher mean SUVr (1.46 ± 0.57) than in the CN and MCI groups. Compared with the CN group, the AD group showed significantly higher mean SUVr in the fusiform gyrus (1.06 ± 0.09 vs. 1.49 ± 0.86), inferior temporal (1.07 ± 0.07 vs. 1.46 ± 0.08), parietal lobe, lingual gyrus, and precuneus regions. Similarly, the AD group demonstrated a higher mean SUVr than the MCI group in the precuneus, lingual, inferior temporal, fusiform, supramarginal, orbitofrontal, and superior temporal regions. The remaining observed regions, including the striatum, basal ganglia, thalamus, and white matter, showed a low SUVr across all groups with no statistically significant differences. Conclusion A significantly higher mean SUVr of [18F]PI-2620 was observed in the AD group; a significant area of the brain in the AD group demonstrated tau protein deposit in concordance with Braak Stages III–V, providing useful information to differentiate AD from CN and MCI. Moreover, the low SUVr in the deep striatum and thalamus could be useful for excluding primary tauopathies.
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29
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Feasibility of short imaging protocols for [ 18F]PI-2620 tau-PET in progressive supranuclear palsy. Eur J Nucl Med Mol Imaging 2021; 48:3872-3885. [PMID: 34021393 PMCID: PMC8484138 DOI: 10.1007/s00259-021-05391-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 04/26/2021] [Indexed: 11/08/2022]
Abstract
Purpose Dynamic 60-min positron emission tomography (PET) imaging with the novel tau radiotracer [18F]PI-2620 facilitated accurate discrimination between patients with progressive supranuclear palsy (PSP) and healthy controls (HCs). This study investigated if truncated acquisition and static time windows can be used for [18F]PI-2620 tau-PET imaging of PSP. Methods Thirty-seven patients with PSP Richardson syndrome (PSP-RS) were evaluated together with ten HCs. [18F]PI-2620 PET was performed by a dynamic 60-min scan. Distribution volume ratios (DVRs) were calculated using full and truncated scan durations (0–60, 0–50, 0–40, 0–30, and 0–20 min p.i.). Standardized uptake value ratios (SUVrs) were obtained 20–40, 30–50, and 40–60 min p.i.. All DVR and SUVr data were compared with regard to their potential to discriminate patients with PSP-RS from HCs in predefined subcortical and cortical target regions (effect size, area under the curve (AUC), multi-region classifier). Results 0–50 and 0–40 DVR showed equivalent effect sizes as 0–60 DVR (averaged Cohen’s d: 1.22 and 1.16 vs. 1.26), whereas the performance dropped for 0–30 or 0–20 DVR. The 20–40 SUVr indicated the best performance of all static acquisition windows (averaged Cohen’s d: 0.99). The globus pallidus internus discriminated patients with PSP-RS and HCs at a similarly high level for 0–60 DVR (AUC: 0.96), 0–40 DVR (AUC: 0.96), and 20–40 SUVr (AUC: 0.94). The multi-region classifier sensitivity of these time windows was consistently 86%. Conclusion Truncated and static imaging windows can be used for [18F]PI-2620 PET imaging of PSP. 0–40 min dynamic scanning offers the best balance between accuracy and economic scanning. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05391-3.
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