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Frisoni GB, Festari C, Massa F, Cotta Ramusino M, Orini S, Aarsland D, Agosta F, Babiloni C, Borroni B, Cappa SF, Frederiksen KS, Froelich L, Garibotto V, Haliassos A, Jessen F, Kamondi A, Kessels RP, Morbelli SD, O'Brien JT, Otto M, Perret-Liaudet A, Pizzini FB, Vandenbulcke M, Vanninen R, Verhey F, Vernooij MW, Yousry T, Boada Rovira M, Dubois B, Georges J, Hansson O, Ritchie CW, Scheltens P, van der Flier WM, Nobili F. European intersocietal recommendations for the biomarker-based diagnosis of neurocognitive disorders. Lancet Neurol 2024; 23:302-312. [PMID: 38365381 DOI: 10.1016/s1474-4422(23)00447-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/30/2023] [Accepted: 11/13/2023] [Indexed: 02/18/2024]
Abstract
The recent commercialisation of the first disease-modifying drugs for Alzheimer's disease emphasises the need for consensus recommendations on the rational use of biomarkers to diagnose people with suspected neurocognitive disorders in memory clinics. Most available recommendations and guidelines are either disease-centred or biomarker-centred. A European multidisciplinary taskforce consisting of 22 experts from 11 European scientific societies set out to define the first patient-centred diagnostic workflow that aims to prioritise testing for available biomarkers in individuals attending memory clinics. After an extensive literature review, we used a Delphi consensus procedure to identify 11 clinical syndromes, based on clinical history and examination, neuropsychology, blood tests, structural imaging, and, in some cases, EEG. We recommend first-line and, if needed, second-line testing for biomarkers according to the patient's clinical profile and the results of previous biomarker findings. This diagnostic workflow will promote consistency in the diagnosis of neurocognitive disorders across European countries.
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Affiliation(s)
- Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
| | - Cristina Festari
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Matteo Cotta Ramusino
- Unit of Behavioral Neurology and Dementia Research Center (DRC), IRCCS Mondino Foundation, Pavia, Italy
| | - Stefania Orini
- Alzheimer's Unit-Memory Clinic, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Dag Aarsland
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; UK Dementia Research Institute, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V Erspamer", Sapienza University of Rome, Rome, Italy; Hospital San Raffaele of Cassino, Cassino, Italy
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Continuity of Care and Frailty, ASST Spedali Civili, Brescia, Italy
| | - Stefano F Cappa
- Centro Ricerca sulle Demenze, IRCCS Mondino Foundation, Pavia, Italy; University Institute for Advanced Studies (IUSS), Pavia, Italy
| | - Kristian S Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lutz Froelich
- Department of Geriatric Psychiatry, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland; CIBM Center for Biomedical Imaging, Geneva, Switzerland
| | | | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Anita Kamondi
- National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary; Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Roy Pc Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands; Radboud UMC Alzheimer Center and Department of Medical Psychology, Radboud University Medical Center, Nijmegen, Netherlands; Vincent van Gogh Institute for Psychiatry, Venray, Netherlands
| | - Silvia D Morbelli
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - John T O'Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Markus Otto
- Department of Neurology, Martin Luther University of Halle-Wittenberg, Halle (Saale), Germany
| | | | - Francesca B Pizzini
- Department of Diagnostic and Public Health, Verona University Hospital, Verona University, Verona, Italy
| | - Mathieu Vandenbulcke
- Department of Neurosciences, KU Leuven, Leuven, Belgium; Department of Geriatric Psychiatry, University Psychiatric Centre KU Leuven, Leuven-Kortenberg, Belgium
| | - Ritva Vanninen
- University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Frans Verhey
- Department of Psychiatry and Neuropsychology-Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Meike W Vernooij
- Department of Epidemiology and Department of Radiology and Nuclear Medicine Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Tarek Yousry
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, University College London Hospitals NHS Foundation Trust National Hospital for Neurology and Neurosurgery, London, UK
| | - Mercè Boada Rovira
- Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Bruno Dubois
- Institut de La Mémoire et de La Maladie d'Alzheimer, Neurology Department, Salpêtrière Hospital, Assistance Publique-Hôpital de Paris, Paris, France; Sorbonne University, Paris, France
| | | | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Craig W Ritchie
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, Western General Hospital, University of Edinburgh, Edinburgh, UK; Brain Health Scotland, Edinburgh, UK
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands; Amsterdam Neuroscience-Neurodegeneration, Amsterdam, Netherlands; Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, Netherlands
| | - Flavio Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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2
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Sexton CE, Bitan G, Bowles KR, Brys M, Buée L, Maina MB, Clelland CD, Cohen AD, Crary JF, Dage JL, Diaz K, Frost B, Gan L, Goate AM, Golbe LI, Hansson O, Karch CM, Kolb HC, La Joie R, Lee SE, Matallana D, Miller BL, Onyike CU, Quiroz YT, Rexach JE, Rohrer JD, Rommel A, Sadri‐Vakili G, Schindler SE, Schneider JA, Sperling RA, Teunissen CE, Weninger SC, Worley SL, Zheng H, Carrillo MC. Novel avenues of tau research. Alzheimers Dement 2024; 20:2240-2261. [PMID: 38170841 PMCID: PMC10984447 DOI: 10.1002/alz.13533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 10/03/2023] [Accepted: 10/05/2023] [Indexed: 01/05/2024]
Abstract
INTRODUCTION The pace of innovation has accelerated in virtually every area of tau research in just the past few years. METHODS In February 2022, leading international tau experts convened to share selected highlights of this work during Tau 2022, the second international tau conference co-organized and co-sponsored by the Alzheimer's Association, CurePSP, and the Rainwater Charitable Foundation. RESULTS Representing academia, industry, and the philanthropic sector, presenters joined more than 1700 registered attendees from 59 countries, spanning six continents, to share recent advances and exciting new directions in tau research. DISCUSSION The virtual meeting provided an opportunity to foster cross-sector collaboration and partnerships as well as a forum for updating colleagues on research-advancing tools and programs that are steadily moving the field forward.
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Affiliation(s)
| | - Gal Bitan
- Department of NeurologyDavid Geffen School of MedicineBrain Research InstituteMolecular Biology InstituteUniversity of California Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | - Kathryn R. Bowles
- UK Dementia Research Institute at the University of EdinburghCentre for Discovery Brain SciencesUniversity of EdinburghEdinburghUK
| | | | - Luc Buée
- Univ LilleInsermCHU‐LilleLille Neuroscience and CognitionLabEx DISTALZPlace de VerdunLilleFrance
| | - Mahmoud Bukar Maina
- Sussex NeuroscienceSchool of Life SciencesUniversity of SussexFalmerUK
- Biomedical Science Research and Training CentreYobe State UniversityDamaturuNigeria
| | - Claire D. Clelland
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Ann D. Cohen
- University of PittsburghSchool of MedicineDepartment of Psychiatry and Alzheimer's disease Research CenterPittsburghPennsylvaniaUSA
| | - John F. Crary
- Departments of PathologyNeuroscience, and Artificial Intelligence & Human HealthIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Jeffrey L. Dage
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Bess Frost
- Sam & Ann Barshop Institute for Longevity & Aging Studies Glenn Biggs Institute for Alzheimer's & Neurodegenerative Disorders Department of Cell Systems and Anatomy University of Texas Health San AntonioSan AntonioTexasUSA
| | - Li Gan
- Helen and Robert Appel Alzheimer Disease Research InstituteFeil Family Brain and Mind Research InstituteWeill Cornell MedicineNew YorkNew YorkUSA
| | - Alison M Goate
- Department of Genetics & Genomic SciencesRonald M. Loeb Center for Alzheimer's diseaseIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Lawrence I. Golbe
- CurePSPIncNew YorkNew YorkUSA
- Rutgers Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
| | - Oskar Hansson
- Clinical Memory Research UnitDepartment of Clinical Sciences MalmöLund UniversityLundSweden
| | - Celeste M. Karch
- Department of PsychiatryWashington University in St. LouisSt. LouisMissouriUSA
| | | | - Renaud La Joie
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Suzee E. Lee
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Diana Matallana
- Aging InstituteNeuroscience ProgramPsychiatry DepartmentSchool of MedicinePontificia Universidad JaverianaBogotáColombia
- Mental Health DepartmentHospital Universitario Fundaciòn Santa FeBogotaColombia
| | - Bruce L. Miller
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Chiadi U. Onyike
- Division of Geriatric Psychiatry and NeuropsychiatryJohns Hopkins University School of MedicineBaltimoreBaltimoreMarylandUSA
| | - Yakeel T. Quiroz
- Departments of Psychiatry and NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Jessica E. Rexach
- Program in NeurogeneticsDepartment of NeurologyDavid Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Jonathan D. Rohrer
- Department of Neurodegenerative DiseaseDementia Research CentreUniversity College London Institute of Neurology, Queen SquareLondonUK
| | - Amy Rommel
- Rainwater Charitable FoundationFort WorthTexasUSA
| | - Ghazaleh Sadri‐Vakili
- Sean M. Healey &AMG Center for ALS at Mass GeneralMassachusetts General HospitalBostonMassachusettsUSA
| | - Suzanne E. Schindler
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
| | | | - Reisa A. Sperling
- Center for Alzheimer Research and TreatmentBrigham and Women's HospitalMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Charlotte E. Teunissen
- Neurochemistry LaboratoryClinical Chemistry departmentAmsterdam NeuroscienceProgram NeurodegenerationAmsterdam University Medical CentersVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | | | | | - Hui Zheng
- Huffington Center on AgingBaylor College of MedicineHoustonTexasUSA
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Kim MS, Park DG, Shin IJ, An YS, Yoon JH. The Role of Dual-Phase 18 F-FP-CIT PET to Early Diagnosis of Corticobasal Syndrome. Clin Nucl Med 2024; 49:124-130. [PMID: 38015725 DOI: 10.1097/rlu.0000000000004979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
BACKGROUND Corticobasal syndrome (CBS) is a neurodegeneration characterized by asymmetric parkinsonism, dystonia, myoclonus, and apraxia. In the early stage, CBS presents with asymmetric parkinsonism and cortical symptoms (apraxia and alien hand), and neuroimaging finding is often vague, making early clinical differentiation from idiopathic Parkinson disease (IPD) challenging. This study was performed to delineate the specific patterns of cortical hypoperfusion, dopamine transporter (DAT) uptake using dual-phase FP-CIT PET in discriminating between CBS and IPD at early stage. PATIENTS AND METHODS The study enrolled clinically diagnosed CBS (n = 11) and IPD (n = 22) patients (age and sex matched). All participants underwent dual-phase 18 F-FP-CIT PET, and regional SUV ratio (SUVR) was obtained by semiquantitative analysis. The early perfusion imaging and DAT imaging were compared between groups. RESULTS The regional SUVRs (early phase) of the frontal lobe, thalamus, cingulate, and caudate were significantly lower in patients with CBS, whereas the SUVR of occipital lobe was lower in the IPD group. The CBS group exhibited more prominent asymmetry than the IPD group, particularly in the perirolandic area, superior frontal gyrus, and anterior parietal lobe in early phase PET. Striatal DAT uptake (delayed phase) revealed that the caudate showed lower SUVR and prominent asymmetry in the CBS group, and the caudate-to-putamen ratio (CP ratio) was significantly lower in CBS patients ( P < 0.001). Among the parameters (early and delayed), the CP ratio in DAT exhibited the most powerful discriminative power from receiver operating characteristic curve comparison (area under curve = 0.983). CONCLUSIONS This study demonstrated that the dual-phase FP-CIT PET is useful in differentiating CBS and IPD in the early stage of the disease, and a lower CP ratio of DAT imaging is highly informative for distinguishing between corticobasal degeneration and IPD.
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Affiliation(s)
| | - Dong Gueu Park
- From the Department of Neurology, Ajou University School of Medicine, Suwon
| | - In Ja Shin
- From the Department of Neurology, Ajou University School of Medicine, Suwon
| | - Young Sil An
- Department of Nuclear Medicine, Ajou University School of Medicine, Suwon, South Korea
| | - Jung Han Yoon
- From the Department of Neurology, Ajou University School of Medicine, Suwon
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4
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Finze A, Biechele G, Rauchmann BS, Franzmeier N, Palleis C, Katzdobler S, Weidinger E, Guersel S, Schuster S, Harris S, Schmitt J, Beyer L, Gnörich J, Lindner S, Albert NL, Wetzel CH, Rupprecht R, Rominger A, Danek A, Burow L, Kurz C, Tato M, Utecht J, Papazov B, Zaganjori M, Trappmann LK, Goldhardt O, Grimmer T, Haeckert J, Janowitz D, Buerger K, Keeser D, Stoecklein S, Dietrich O, Morenas-Rodriguez E, Barthel H, Sabri O, Bartenstein P, Simons M, Haass C, Höglinger GU, Levin J, Perneczky R, Brendel M. Individual regional associations between Aβ-, tau- and neurodegeneration (ATN) with microglial activation in patients with primary and secondary tauopathies. Mol Psychiatry 2023; 28:4438-4450. [PMID: 37495886 PMCID: PMC10827660 DOI: 10.1038/s41380-023-02188-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 06/27/2023] [Accepted: 07/10/2023] [Indexed: 07/28/2023]
Abstract
β-amyloid (Aβ) and tau aggregation as well as neuronal injury and atrophy (ATN) are the major hallmarks of Alzheimer's disease (AD), and biomarkers for these hallmarks have been linked to neuroinflammation. However, the detailed regional associations of these biomarkers with microglial activation in individual patients remain to be elucidated. We investigated a cohort of 55 patients with AD and primary tauopathies and 10 healthy controls that underwent TSPO-, Aβ-, tau-, and perfusion-surrogate-PET, as well as structural MRI. Z-score deviations for 246 brain regions were calculated and biomarker contributions of Aβ (A), tau (T), perfusion (N1), and gray matter atrophy (N2) to microglial activation (TSPO, I) were calculated for each individual subject. Individual ATN-related microglial activation was correlated with clinical performance and CSF soluble TREM2 (sTREM2) concentrations. In typical and atypical AD, regional tau was stronger and more frequently associated with microglial activation when compared to regional Aβ (AD: βT = 0.412 ± 0.196 vs. βA = 0.142 ± 0.123, p < 0.001; AD-CBS: βT = 0.385 ± 0.176 vs. βA = 0.131 ± 0.186, p = 0.031). The strong association between regional tau and microglia reproduced well in primary tauopathies (βT = 0.418 ± 0.154). Stronger individual associations between tau and microglial activation were associated with poorer clinical performance. In patients with 4RT, sTREM2 levels showed a positive association with tau-related microglial activation. Tau pathology has strong regional associations with microglial activation in primary and secondary tauopathies. Tau and Aβ related microglial response indices may serve as a two-dimensional in vivo assessment of neuroinflammation in neurodegenerative diseases.
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Grants
- EXC 2145 SyNergy - ID 390857198 Deutsche Forschungsgemeinschaft (German Research Foundation)
- EXC 2155 - project number 39087428 Deutsche Forschungsgemeinschaft (German Research Foundation)
- HO2402/18-1 Deutsche Forschungsgemeinschaft (German Research Foundation)
- FOR-2858 project numbers 403161218, 421887978 and 422188432 Deutsche Forschungsgemeinschaft (German Research Foundation)
- 19063p Alzheimer Forschung Initiative (Alzheimer Forschung Initiative e.V.)
- GUH was additionally funded by the German Federal Ministry of Education and Research (BMBF, 01KU1403A EpiPD; 01EK1605A HitTau; 01DH18025 TauTherapy); European Joint Programme on Rare Diseases (Improve-PSP); VolkswagenStiftung (Niedersächsisches Vorab); Petermax-Müller Foundation (Etiology and Therapy of Synucleinopathies and Tauopathies). The Lüneburg Heritage and Friedrich-Baur-Stiftung have supported the work of CP. The Hirnliga e.V. supported recruitment and imaging of the ActiGliA cohort (Manfred-Strohscheer-Stiftung) by a grant to BSR and MB.
- TG received consulting fees from AbbVie, Alector, Anavex, Biogen, Eli Lilly, Functional Neuromodulation, Grifols, Iqvia, Noselab, Novo Nordisk, NuiCare, Orphanzyme, Roche Diagnostics, Roche Pharma, UCB, and Vivoryon; lecture fees from Grifols, Medical Tribune, Novo Nordisk, Roche Pharma, and Schwabe; and has received grants to his institution from Roche Diagnostics.
- CH collaborates with Denali Therapeutics. CH is chief advisor of ISAR Bioscience and a member of the advisory board of AviadoBio.
- Günter Höglinger participated in industry-sponsored research projects from Abbvie, Biogen, Biohaven, Novartis, Roche, Sanofi, UCB; serves as a consultant for Abbvie, Alzprotect, Aprineua, Asceneuron, Bial, Biogen, Biohaven, Kyowa Kirin, Lundbeck, Novartis, Retrotope, Roche, Sanofi, UCB; received honoraria for scientific presentations from Abbvie, Bayer Vital, Bial, Biogen, Bristol Myers Squibb, Kyowa Kirin, Roche, Teva, UCB, Zambon; holds a patent on Treatment of Synucleinopathies. United States Patent No.: US 10,918,628 B2: EP 17 787 904.6-1109 / 3 525 788; received publication royalties from Academic Press, Kohlhammer, and Thieme.
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Affiliation(s)
- 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
| | - Boris-Stephan Rauchmann
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
- NeuroImaging Core Unit Munich (NICUM), LMU University Hospital, LMU Munich, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - 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
- 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
| | - Endy Weidinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Selim Guersel
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sebastian Schuster
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Stefanie Harris
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Julia Schmitt
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Johannes Gnörich
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Christian H Wetzel
- Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany
| | - Rainer Rupprecht
- Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Department of Nuclear Medicine, University Hospital, Inselspital Bern, Bern, Switzerland
| | - Adrian Danek
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Lena Burow
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Carolin Kurz
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Maia Tato
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Julia Utecht
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Boris Papazov
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
- NeuroImaging Core Unit Munich (NICUM), LMU University Hospital, LMU Munich, Munich, Germany
| | - Mirlind Zaganjori
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Lena-Katharina Trappmann
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Oliver Goldhardt
- Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Jan Haeckert
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Augsburg, Augsburg, Germany
| | | | | | - Daniel Keeser
- NeuroImaging Core Unit Munich (NICUM), LMU University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sophia Stoecklein
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Olaf Dietrich
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | | | - Henryk Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mikael Simons
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Institute of Neuronal Cell Biology, Technical University of Munich, Munich, Germany
| | - Christian Haass
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Chair of Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, 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
- Department of Neurology, Hannover Medical School, Hannover, 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
| | - Robert Perneczky
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
- Sheffield Institute for Translational Neurosciences (SITraN), University of Sheffield, Sheffield, UK
| | - 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.
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5
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Aghakhanyan G, Rullmann M, Rumpf J, Schroeter ML, Scherlach C, Patt M, Brendel M, Koglin N, Stephens AW, Classen J, Hoffmann KT, Sabri O, Barthel H. Interplay of tau and functional network connectivity in progressive supranuclear palsy: a [ 18F]PI-2620 PET/MRI study. Eur J Nucl Med Mol Imaging 2022; 50:103-114. [PMID: 36048259 DOI: 10.1007/s00259-022-05952-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 08/23/2022] [Indexed: 01/18/2023]
Abstract
PURPOSE Progressive supranuclear palsy (PSP) is primary 4-repeat tauopathy. Evidence spanning from imaging studies indicate aberrant connectivity in PSPs. Our goal was to assess functional connectivity network alterations in PSP patients and the potential link between regional tau-burden and network-level functional connectivity using the next-generation tau PET tracer [18F]PI-2620 and resting-state functional MRI (fMRI). MATERIAL AND METHODS Twenty-four probable PSP patients (70.9 ± 6.9 years, 13 female), including 14 Richardson syndrome (RS) and 10 non-RS phenotypes, underwent [18F]PI-2620 PET/MRI imaging. Distribution volume ratios (DVRs) were estimated using non-invasive pharmacokinetic modeling. Resting-state fMRI was also acquired in these patients as well as in thirteen older non-AD MCI reference group (64 ± 9 years, 4 female). The functional network was constructed using 141 by 141 region-to-region functional connectivity metrics (RRC) and network-based statistic was carried out (connection threshold p < 0.001, cluster threshold pFDR < 0.05). RESULTS In total, 9870 functional connections were analyzed. PSPs compared to aged non-AD MCI reference group expressed aberrant connectivity evidenced by the significant NBS network consisting of 89 ROIs and 118 connections among them (NBS mass 4226, pFDR < 0.05). Tau load in the right globus pallidus externus (GPe) and left dentate nucleus (DN) showed significant effects on functional network connectivity. The network linked with increased tau load in the right GPe was associated with hyperconnectivity of low-range intra-opercular connections (NBS mass 356, pFDR < 0.05), while the network linked with increased tau load in the left cerebellar DN was associated with cerebellar hyperconnectivity and cortico-cerebellar hypoconnectivity (NBS mass 517, pFDR < 0.05). CONCLUSIONS PSP patients show altered functional connectivity. Network incorporating deep gray matter structures demonstrate hypoconnectivity, cerebellum hyperconnectivity, while cortico-cortical connections show variable changes. Tau load in the right GPe and left DN is associated with functional networks which strengthen low-scale intra-opercular and intra-cerebellar connections and weaken opercular-cerebellar connections. These findings support the concept of tau load-dependent functional network changes in PSP, by that providing evidence for downstream effects of neuropathology on brain functionality in this primary tauopathy.
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Affiliation(s)
- Gayane Aghakhanyan
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany. .,Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
| | - M Rullmann
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - J Rumpf
- Department of Neurology, University of Leipzig, Leipzig, Germany
| | - M L Schroeter
- Max Planck Institute for Human Cognitive and Brain Sciences & Clinic for Cognitive Neurology, University of Leipzig, Leipzig, Germany
| | - C Scherlach
- Department of Neuroradiology, University of Leipzig, Leipzig, Germany
| | - M Patt
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - M Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - N Koglin
- Life Molecular Imaging GmbH, Berlin, Germany
| | | | - J Classen
- Department of Neurology, University of Leipzig, Leipzig, Germany
| | - K T Hoffmann
- Department of Neuroradiology, University of Leipzig, Leipzig, Germany
| | - O Sabri
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - H Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
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6
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Stamelou M, Respondek G, Giagkou N, Whitwell JL, Kovacs GG, Höglinger GU. Evolving concepts in progressive supranuclear palsy and other 4-repeat tauopathies. Nat Rev Neurol 2021; 17:601-620. [PMID: 34426686 DOI: 10.1038/s41582-021-00541-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2021] [Indexed: 02/07/2023]
Abstract
Tauopathies are classified according to whether tau deposits predominantly contain tau isoforms with three or four repeats of the microtubule-binding domain. Those in which four-repeat (4R) tau predominates are known as 4R-tauopathies, and include progressive supranuclear palsy, corticobasal degeneration, argyrophilic grain disease, globular glial tauopathies and conditions associated with specific MAPT mutations. In these diseases, 4R-tau deposits are found in various cell types and anatomical regions of the brain and the conditions share pathological, pathophysiological and clinical characteristics. Despite being considered 'prototype' tauopathies and, therefore, ideal for studying neuroprotective agents, 4R-tauopathies are still severe and untreatable diseases for which no validated biomarkers exist. However, advances in research have addressed the issues of phenotypic overlap, early clinical diagnosis, pathophysiology and identification of biomarkers, setting a road map towards development of treatments. New clinical criteria have been developed and large cohorts with early disease are being followed up in prospective studies. New clinical trial readouts are emerging and biomarker research is focused on molecular pathways that have been identified. Lessons learned from failed trials of neuroprotective drugs are being used to design new trials. In this Review, we present an overview of the latest research in 4R-tauopathies, with a focus on progressive supranuclear palsy, and discuss how current evidence dictates ongoing and future research goals.
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Affiliation(s)
- Maria Stamelou
- Parkinson's Disease and Movement Disorders Dept, HYGEIA Hospital, Athens, Greece. .,European University of Cyprus, Nicosia, Cyprus. .,Philipps University, Marburg, Germany.
| | - Gesine Respondek
- Department of Neurology, Hanover Medical School, Hanover, Germany
| | - Nikolaos Giagkou
- Parkinson's Disease and Movement Disorders Dept, HYGEIA Hospital, Athens, Greece
| | | | - Gabor G Kovacs
- Department of Laboratory Medicine and Pathobiology and Tanz Centre for Research in Neurodegenerative Disease (CRND), University of Toronto, Toronto, Ontario, Canada.,Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Günter U Höglinger
- Department of Neurology, Hanover Medical School, Hanover, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
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7
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Abstract
The brain is the most energy-consuming organ of the body and impairments in brain energy metabolism will affect neuronal functionality and viability. Brain aging is marked by defects in energetic metabolism. Abnormal tau protein is a hallmark of tauopathies, including Alzheimer's disease (AD). Pathological tau was shown to induce bioenergetic impairments by affecting mitochondrial function. Although it is now clear that mutations in the tau-coding gene lead to tau pathology, the causes of abnormal tau phosphorylation and aggregation in non-familial tauopathies, such as sporadic AD, remain elusive. Strikingly, both tau pathology and brain hypometabolism correlate with cognitive impairments in AD. The aim of this review is to discuss the link between age-related decrease in brain metabolism and tau pathology. In particular, the following points will be discussed: (i) the common bioenergetic features observed during brain aging and tauopathies; (ii) how age-related bioenergetic defects affect tau pathology; (iii) the influence of lifestyle factors known to modulate brain bioenergetics on tau pathology. The findings compiled here suggest that age-related bioenergetic defects may trigger abnormal tau phosphorylation/aggregation and cognitive impairments after passing a pathological threshold. Understanding the effects of aging on brain metabolism may therefore help to identify disease-modifying strategies against tau-induced neurodegeneration.
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Affiliation(s)
- Amandine Grimm
- Transfaculty Research Platform Molecular and Cognitive Neuroscience, University of Basel, 4002 Basel, Switzerland;
- Neurobiology Lab for Brain Aging and Mental Health, Psychiatric University Clinics, 4002 Basel, Switzerland
- Life Sciences Training Facility, University of Basel, 4055 Basel, Switzerland
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8
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Schmitt J, Palleis C, Sauerbeck J, Unterrainer M, Harris S, Prix C, Weidinger E, Katzdobler S, Wagemann O, Danek A, Beyer L, Rauchmann BS, Rominger A, Simons M, Bartenstein P, Perneczky R, Haass C, Levin J, Höglinger GU, Brendel M. Dual-Phase β-Amyloid PET Captures Neuronal Injury and Amyloidosis in Corticobasal Syndrome. Front Aging Neurosci 2021; 13:661284. [PMID: 34054506 PMCID: PMC8155727 DOI: 10.3389/fnagi.2021.661284] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 04/06/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: In recent years several 18F-labeled amyloid PET (Aβ-PET) tracers have been developed and have obtained clinical approval. There is evidence that Aβ-PET perfusion can provide surrogate information about neuronal injury in neurodegenerative diseases when compared to conventional blood flow and glucose metabolism assessment. However, this paradigm has not yet been tested in neurodegenerative disorders with cortical and subcortical affection. Therefore, we investigated the performance of early acquisition 18F-flutemetamol Aβ-PET in comparison to 18F-fluorodeoxyglucose (FDG)-PET in corticobasal syndrome (CBS). Methods: Subjects with clinically possible or probable CBS were recruited within the prospective Activity of Cerebral Networks, Amyloid and Microglia in Aging and Alzheimer's Disease (ActiGliA) observational study and all CBS cases with an available FDG-PET prior to Aβ-PET were selected. Aβ-PET was acquired 0-10 min p.i. (early-phase) and 90-110 min p.i. (late-phase) whereas FDG-PET was recorded statically from 30 to 50 min p.i. Semiquantitative regional values and asymmetry indices (AI) were compared between early-phase Aβ-PET and FDG-PET. Visual assessments of hypoperfusion and hypometabolism were compared between both methods. Late-phase Aβ-PET was evaluated visually for assessment of Aβ-positivity. Results: Among 20 evaluated patients with CBS, 5 were Aβ-positive. Early-phase Aβ-PET and FDG-PET SUVr correlated highly in cortical (mean R = 0.86, range 0.77-0.92) and subcortical brain regions (mean R = 0.84, range 0.79-0.90). Strong asymmetry was observed in FDG-PET for the motor cortex (mean |AI| = 2.9%), the parietal cortex (mean |AI| = 2.9%), and the thalamus (mean |AI| = 5.5%), correlating well with AI of early-phase Aβ-PET (mean R = 0.87, range 0.62-0.98). Visual assessments of hypoperfusion and hypometabolism were highly congruent. Conclusion: Early-phase Aβ-PET facilitates assessment of neuronal injury in CBS for cortical and subcortical areas. Known asymmetries in CBS are captured by this method, enabling assessment of Aβ-status and neuronal injury with a single radiation exposure at a single visit.
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Affiliation(s)
- Julia Schmitt
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Carla Palleis
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Julia Sauerbeck
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Stefanie Harris
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Catharina Prix
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Endy Weidinger
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Sabrina Katzdobler
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Olivia Wagemann
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Adrian Danek
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.,Department of Radiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,Department of Nuclear Medicine, University of Bern, Inselspital, Bern, Switzerland.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mikael Simons
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Robert Perneczky
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, United Kingdom
| | - Christian Haass
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Faculty of Medicine, Chair of Metabolic Biochemistry, Biomedical Center (BMC), Ludwig-Maximilians-Universtität München, Munich, Germany
| | - Johannes Levin
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, Medizinische Hochschule Hannover, Hanover, Germany.,Department of Neurology, Technical University Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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9
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Palleis C, Brendel M, Finze A, Weidinger E, Bötzel K, Danek A, Beyer L, Nitschmann A, Kern M, Biechele G, Rauchmann BS, Häckert J, Höllerhage M, Stephens AW, Drzezga A, van Eimeren T, Villemagne VL, Schildan A, Barthel H, Patt M, Sabri O, Bartenstein P, Perneczky R, Haass C, Levin J, Höglinger GU. Cortical [ 18 F]PI-2620 Binding Differentiates Corticobasal Syndrome Subtypes. Mov Disord 2021; 36:2104-2115. [PMID: 33951244 DOI: 10.1002/mds.28624] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/23/2021] [Accepted: 04/05/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Corticobasal syndrome is associated with cerebral protein aggregates composed of 4-repeat (~50% of cases) or mixed 3-repeat/4-repeat tau isoforms (~25% of cases) or nontauopathies (~25% of cases). OBJECTIVES The aim of this single-center study was to investigate the diagnostic value of the tau PET-ligand [18 F]PI-2620 in patients with corticobasal syndrome. METHODS Forty-five patients (71.5 ± 7.6 years) with corticobasal syndrome and 14 age-matched healthy controls underwent [18 F]PI-2620-PET. Beta-amyloid status was determined by cerebral β-amyloid PET and/or CSF analysis. Subcortical and cortical [18 F]PI-2620 binding was quantitatively and visually compared between β-amyloid-positive and -negative patients and controls. Regional [18 F]PI-2620 binding was correlated with clinical and demographic data. RESULTS Twenty-four percent (11 of 45) were β-amyloid-positive. Significantly elevated [18 F]PI-2620 distribution volume ratios were observed in both β-amyloid-positive and β-amyloid-negative patients versus controls in the dorsolateral prefrontal cortex and basal ganglia. Cortical [18 F]PI-2620 PET positivity was distinctly higher in β-amyloid-positive compared with β-amyloid-negative patients with pronounced involvement of the dorsolateral prefrontal cortex. Semiquantitative analysis of [18 F]PI-2620 PET revealed a sensitivity of 91% for β-amyloid-positive and of 65% for β-amyloid-negative cases, which is in excellent agreement with prior clinicopathological data. Regardless of β-amyloid status, hemispheric lateralization of [18 F]PI-2620 signal reflected contralateral predominance of clinical disease severity. CONCLUSIONS Our data indicate a value of [18 F]PI-2620 for evaluating corticobasal syndrome, providing quantitatively and regionally distinct signals in β-amyloid-positive as well as β-amyloid-negative corticobasal syndrome. In corticobasal syndrome, [18 F]PI-2620 may potentially serve for a differential diagnosis and for monitoring disease progression. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Carla Palleis
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Anika Finze
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany
| | - Endy Weidinger
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Kai Bötzel
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany
| | | | - Maike Kern
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany
| | - Gloria Biechele
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Radiology, Ludwig-Maximilians-University, Munich, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | - Jan Häckert
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | | | | | - Alexander Drzezga
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn-Cologne, Germany.,Institute of Neuroscience and Medicine (INM-2), Molecular Organization of the Brain, Forschungszentrum Jülich, Julich, Germany
| | - Thilo van Eimeren
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn-Cologne, Germany.,Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Victor L Villemagne
- Department of Psychiatry, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Andreas Schildan
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Marianne Patt
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | | | - Peter Bartenstein
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany.,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College, London, United Kingdom
| | - Christian Haass
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Chair of Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-University, Munich, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Department of Neurology, Hannover Medical School, Hannover, Germany
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10
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Abstract
Two pathologically distinct neurodegenerative conditions, progressive supranuclear palsy and corticobasal degeneration, share in common deposits of tau proteins that differ both molecularly and ultrastructurally from the common tau deposits diagnostic of Alzheimer disease. The proteinopathy in these disorders is characterized by fibrillary aggregates of 4R tau proteins. The clinical presentations of progressive supranuclear palsy and of corticobasal degeneration are often confused with more common disorders such as Parkinson disease or subtypes of frontotemporal lobar degeneration. Neither of these 4R tau disorders has effective therapy, and while there are emerging molecular imaging approaches to identify patients earlier in the course of disease, there are as yet no reliably sensitive and specific approaches to diagnoses in life. In this review, aspects of the clinical syndromes, neuropathology, and molecular biomarker imaging studies applicable to progressive supranuclear palsy and to corticobasal degeneration will be presented. Future development of more accurate molecular imaging approaches is proposed.
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Affiliation(s)
- Kirk A Frey
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, The University of Michigan Health System, Ann Arbor, MI.
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11
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López-González FJ, Silva-Rodríguez J, Paredes-Pacheco J, Niñerola-Baizán A, Efthimiou N, Martín-Martín C, Moscoso A, Ruibal Á, Roé-Vellvé N, Aguiar P. Intensity normalization methods in brain FDG-PET quantification. Neuroimage 2020; 222:117229. [PMID: 32771619 DOI: 10.1016/j.neuroimage.2020.117229] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 07/28/2020] [Accepted: 07/31/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The lack of standardization of intensity normalization methods and its unknown effect on the quantification output is recognized as a major drawback for the harmonization of brain FDG-PET quantification protocols. The aim of this work is the ground truth-based evaluation of different intensity normalization methods on brain FDG-PET quantification output. METHODS Realistic FDG-PET images were generated using Monte Carlo simulation from activity and attenuation maps directly derived from 25 healthy subjects (adding theoretical relative hypometabolisms on 6 regions of interest and for 5 hypometabolism levels). Single-subject statistical parametric mapping (SPM) was applied to compare each simulated FDG-PET image with a healthy database after intensity normalization based on reference regions methods such as the brain stem (RRBS), cerebellum (RRC) and the temporal lobe contralateral to the lesion (RRTL), and data-driven methods, such as proportional scaling (PS), histogram-based method (HN) and iterative versions of both methods (iPS and iHN). The performance of these methods was evaluated in terms of the recovery of the introduced theoretical hypometabolic pattern and the appearance of unspecific hypometabolic and hypermetabolic findings. RESULTS Detected hypometabolic patterns had significantly lower volumes than the introduced hypometabolisms for all intensity normalization methods particularly for slighter reductions in metabolism . Among the intensity normalization methods, RRC and HN provided the largest recovered hypometabolic volumes, while the RRBS showed the smallest recovery. In general, data-driven methods overcame reference regions and among them, the iterative methods overcame the non-iterative ones. Unspecific hypermetabolic volumes were similar for all methods, with the exception of PS, where it became a major limitation (up to 250 cm3) for extended and intense hypometabolism. On the other hand, unspecific hypometabolism was similar far all methods, and usually solved with appropriate clustering. CONCLUSIONS Our findings showed that the inappropriate use of intensity normalization methods can provide remarkable bias in the detected hypometabolism and it represents a serious concern in terms of false positives. Based on our findings, we recommend the use of histogram-based intensity normalization methods. Reference region methods performance was equivalent to data-driven methods only when the selected reference region is large and stable.
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Affiliation(s)
- Francisco J López-González
- Molecular Imaging Group, Radiology Department, Faculty of Medicine, Universidade de Santiago de Compostela, Galicia, Spain; Molecular Imaging Unit, Centro de Investigaciones Médico-Sanitarias, General Foundation of the University of Málaga, Málaga, Spain
| | - Jesús Silva-Rodríguez
- R&D Department, Qubiotech Health Intelligence, SL., Rúa Real n° 24, Planta 1, A Coruña, Galicia, Spain; Nuclear Medicine Department & Molecular Imaging Group, University Hospital (SERGAS) & Health Research Institute of Santiago de Compostela (IDIS), Travesía da Choupana S/N 15706, Santiago de Compostela, Galicia, Spain.
| | - José Paredes-Pacheco
- Molecular Imaging Group, Radiology Department, Faculty of Medicine, Universidade de Santiago de Compostela, Galicia, Spain; Molecular Imaging Unit, Centro de Investigaciones Médico-Sanitarias, General Foundation of the University of Málaga, Málaga, Spain
| | - Aida Niñerola-Baizán
- Nuclear Medicine Department, Hospital Clínic, Barcelona, Spain; Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain
| | - Nikos Efthimiou
- Positron Emission Tomography Research Centre, University of Hull, Hull HU6 7RX, United Kingdom
| | | | - Alexis Moscoso
- Molecular Imaging Group, Radiology Department, Faculty of Medicine, Universidade de Santiago de Compostela, Galicia, Spain; Nuclear Medicine Department & Molecular Imaging Group, University Hospital (SERGAS) & Health Research Institute of Santiago de Compostela (IDIS), Travesía da Choupana S/N 15706, Santiago de Compostela, Galicia, Spain
| | - Álvaro Ruibal
- Molecular Imaging Group, Radiology Department, Faculty of Medicine, Universidade de Santiago de Compostela, Galicia, Spain; Nuclear Medicine Department & Molecular Imaging Group, University Hospital (SERGAS) & Health Research Institute of Santiago de Compostela (IDIS), Travesía da Choupana S/N 15706, Santiago de Compostela, Galicia, Spain
| | - Núria Roé-Vellvé
- Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain
| | - Pablo Aguiar
- Molecular Imaging Group, Radiology Department, Faculty of Medicine, Universidade de Santiago de Compostela, Galicia, Spain; Nuclear Medicine Department & Molecular Imaging Group, University Hospital (SERGAS) & Health Research Institute of Santiago de Compostela (IDIS), Travesía da Choupana S/N 15706, Santiago de Compostela, Galicia, Spain.
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12
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Bremova-Ertl T, Sztatecsny C, Brendel M, Moser M, Möller B, Clevert DA, Beck-Wödl S, Kun-Rodrigues C, Bras J, Rominger A, Ninov D, Strupp M, Schneider SA. Clinical, ocular motor, and imaging profile of Niemann-Pick type C heterozygosity. Neurology 2020; 94:e1702-e1715. [DOI: 10.1212/wnl.0000000000009290] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Accepted: 11/01/2019] [Indexed: 11/15/2022] Open
Abstract
ObjectiveTo characterize subclinical abnormalities in asymptomatic heterozygote NPC1 mutation carriers as markers of neurodegeneration.MethodsMotor function, cognition, mood, sleep, and smell function were assessed in 20 first-degree heterozygous relatives of patients with Niemann-Pick disease type C (NPC) (13 male, age 52.7 ± 9.9 years). Video-oculography and abdominal ultrasound with volumetry were performed to assess oculomotor function and size of liver and spleen. NPC biomarkers in blood were analyzed. 18F-fluorodesoxyglucose PET was performed (n = 16) to detect patterns of brain hypometabolism.ResultsNPC heterozygotes recapitulated characteristic features of symptomatic NPC disease and demonstrated the oculomotor abnormalities typical of NPC. Hepatosplenomegaly (71%) and increased cholestantriol (33%) and plasma chitotriosidase (17%) levels were present. The patients also showed signs seen in other neurodegenerative diseases, including hyposmia (20%) or pathologic screening for REM sleep behavior disorder (24%). Cognitive function was frequently impaired, especially affecting visuoconstructive function, verbal fluency, and executive function. PET imaging revealed significantly decreased glucose metabolic rates in 50% of participants, affecting cerebellar, anterior cingulate, parieto-occipital, and temporal regions, including 1 with bilateral abnormalities.ConclusionNPC heterozygosity, which has a carrier frequency of 1:200 in the general population, is associated with abnormal brain metabolism and functional consequences. Clinically silent heterozygous gene variations in NPC1 may be a risk factor for late-onset neurodegeneration, similar to the concept of heterozygous GBA mutations underlying Parkinson disease.
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Raffa S, Donegani MI, Borra A, Miceli A, Balma M, Bauckneht M, Morbelli S. Role of [18F]-FDG PET in patients with atypical parkinsonism associated with dementia. Clin Transl Imaging 2020; 8:107-22. [DOI: 10.1007/s40336-020-00360-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Leuzy A, Chiotis K, Lemoine L, Gillberg PG, Almkvist O, Rodriguez-Vieitez E, Nordberg A. Tau PET imaging in neurodegenerative tauopathies-still a challenge. Mol Psychiatry 2019; 24:1112-1134. [PMID: 30635637 PMCID: PMC6756230 DOI: 10.1038/s41380-018-0342-8] [Citation(s) in RCA: 350] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 10/19/2018] [Accepted: 11/26/2018] [Indexed: 12/14/2022]
Abstract
The accumulation of pathological misfolded tau is a feature common to a collective of neurodegenerative disorders known as tauopathies, of which Alzheimer's disease (AD) is the most common. Related tauopathies include progressive supranuclear palsy (PSP), corticobasal syndrome (CBS), Down's syndrome (DS), Parkinson's disease (PD), and dementia with Lewy bodies (DLB). Investigation of the role of tau pathology in the onset and progression of these disorders is now possible due the recent advent of tau-specific ligands for use with positron emission tomography (PET), including first- (e.g., [18F]THK5317, [18F]THK5351, [18F]AV1451, and [11C]PBB3) and second-generation compounds [namely [18F]MK-6240, [18F]RO-948 (previously referred to as [18F]RO69558948), [18F]PI-2620, [18F]GTP1, [18F]PM-PBB3, and [18F]JNJ64349311 ([18F]JNJ311) and its derivative [18F]JNJ-067)]. In this review we describe and discuss findings from in vitro and in vivo studies using both initial and new tau ligands, including their relation to biomarkers for amyloid-β and neurodegeneration, and cognitive findings. Lastly, methodological considerations for the quantification of in vivo ligand binding are addressed, along with potential future applications of tau PET, including therapeutic trials.
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Affiliation(s)
- Antoine Leuzy
- 0000 0004 1937 0626grid.4714.6Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Konstantinos Chiotis
- 0000 0004 1937 0626grid.4714.6Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden ,0000 0000 9241 5705grid.24381.3cTheme Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Laetitia Lemoine
- 0000 0004 1937 0626grid.4714.6Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Per-Göran Gillberg
- 0000 0004 1937 0626grid.4714.6Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Ove Almkvist
- 0000 0004 1937 0626grid.4714.6Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden ,0000 0004 1936 9377grid.10548.38Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Elena Rodriguez-Vieitez
- 0000 0004 1937 0626grid.4714.6Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Agneta Nordberg
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. .,Theme Aging, Karolinska University Hospital, Stockholm, Sweden.
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