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van der Veere PJ, Hoogland J, Visser LNC, Van Harten AC, Rhodius-Meester HF, Sikkes SAM, Venkatraghavan V, Barkhof F, Teunissen CE, van de Giessen E, Berkhof J, Van Der Flier WM. Predicting Cognitive Decline in Amyloid-Positive Patients With Mild Cognitive Impairment or Mild Dementia. Neurology 2024; 103:e209605. [PMID: 38986053 PMCID: PMC11238942 DOI: 10.1212/wnl.0000000000209605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Cognitive decline rates in Alzheimer disease (AD) vary greatly. Disease-modifying treatments may alter cognitive decline trajectories, rendering their prediction increasingly relevant. We aimed to construct clinically applicable prediction models of cognitive decline in amyloid-positive patients with mild cognitive impairment (MCI) or mild dementia. METHODS From the Amsterdam Dementia Cohort, we selected amyloid-positive participants with MCI or mild dementia and at least 2 longitudinal Mini-Mental State Examination (MMSE) measurements. Amyloid positivity was based on CSF AD biomarker concentrations or amyloid PET. We used linear mixed modeling to predict MMSE over time, describing trajectories using a cubic time curve and interactions between linear time and the baseline predictors age, sex, baseline MMSE, APOE ε4 dose, CSF β-amyloid (Aβ) 1-42 and pTau, and MRI total brain and hippocampal volume. Backward selection was used to reduce model complexity. These models can predict MMSE over follow-up or the time to an MMSE value. MCI and mild dementia were modeled separately. Internal 5-fold cross-validation was performed to calculate the explained variance (R2). RESULTS In total, 961 participants were included (age 65 ± 7 years, 49% female), 310 had MCI (MMSE 26 ± 2) and 651 had mild dementia (MMSE 22 ± 4), with 4 ± 2 measurements over 2 (interquartile range 1-4) years. Cognitive decline rates increased over time for both MCI and mild dementia (model comparisons linear vs squared vs cubic time fit; p < 0.05 favoring a cubic fit). For MCI, backward selection retained age, sex, and CSF Aβ1-42 and pTau concentrations as time-varying effects altering the MMSE trajectory. For mild dementia, retained time-varying effects were Aβ1-42, age, APOE ε4, and baseline MMSE. R2 was 0.15 for the MCI model and 0.26 for mild dementia in internal cross-validation. A hypothetical patient with MCI, baseline MMSE 28, and CSF Aβ1-42 of 925 pg/mL was predicted to reach an MMSE of 20 after 6.0 years (95% CI 5.4-6.7) and after 8.6 years with a hypothetical treatment reducing decline by 30%. DISCUSSION We constructed models for MCI and mild dementia that predict MMSE over time. These models could inform patients about their potential cognitive trajectory and the remaining uncertainty and aid in conversations about individualized potential treatment effects.
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Affiliation(s)
- Pieter J van der Veere
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Jeroen Hoogland
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Leonie N C Visser
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Argonde C Van Harten
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Hanneke F Rhodius-Meester
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Sietske A M Sikkes
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Vikram Venkatraghavan
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Frederik Barkhof
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Charlotte E Teunissen
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Elsmarieke van de Giessen
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Johannes Berkhof
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
| | - Wiesje M Van Der Flier
- From the Alzheimer Center and Department of Neurology (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., S.A.M.S., V.V., W.M.V.D.F.), and Department of Epidemiology and Biostatistics (P.J.v.d.V., J.H., L.N.C.V., J.B., W.M.V.D.F.), Amsterdam Neuroscience, VU University Medical Center; Amsterdam Neuroscience (P.J.v.d.V., L.N.C.V., A.C.V.H., H.F.R.-M., V.V., C.E.T., E.G., W.M.V.D.F.), Neurodegeneration the Netherlands; Division of Clinical Geriatrics (L.N.C.V.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Medical Psychology (L.N.C.V.), Amsterdam UMC Location AMC, University of Amsterdam; Amsterdam Public Health (L.N.C.V.), Quality of Care, Personalized Medicine; Internal Medicine (H.F.R.-M.), Geriatric Medicine Section, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC Location VUmc; Department of Clinical, Neuro and Developmental Psychology (S.A.M.S.), Faculty of Movement and Behavioral Sciences, VU University; Department of Radiology & Nuclear Medicine (F.B., E.G.), Amsterdam UMC, Vrije Universiteit, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing (F.B.), University College London, United Kingdom; and Neurochemistry Laboratory and Biobank (C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, the Netherlands
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Falcon C, Montesinos P, Václavů L, Kassinopoulos M, Minguillon C, Fauria K, Cascales-Lahoz D, Contador J, Fernández-Lebrero A, Navalpotro I, Puig-Pijoan A, Grau-Rivera O, Kollmorgen G, Quijano-Rubio C, Molinuevo JL, Zetterberg H, Blennow K, Suárez-Calvet M, Van Osch MJP, Sanchez-Gonzalez J, Gispert JD. Time-encoded ASL reveals lower cerebral blood flow in the early AD continuum. Alzheimers Dement 2024. [PMID: 38958557 DOI: 10.1002/alz.14059] [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: 12/21/2023] [Revised: 04/08/2024] [Accepted: 04/08/2024] [Indexed: 07/04/2024]
Abstract
INTRODUCTION Cerebral blood flow (CBF) is reduced in cognitively impaired (CI) Alzheimer's disease (AD) patients. We checked the sensitivity of time-encoded arterial spin labeling (te-ASL) in measuring CBF alterations in individuals with positive AD biomarkers and associations with relevant biomarkers in cognitively unimpaired (CU) individuals. METHODS We compared te-ASL with single-postlabel delay (PLD) ASL in measuring CBF in 59 adults across the AD continuum, classified as CU amyloid beta (Aβ) negative (-), CU Aβ positive (+), and CI Aβ+. We sought associations of CBF with biomarkers of AD, cerebrovascular disease, synaptic dysfunction, neurodegeneration, and cognition in CU participants. RESULTS te-ASL was more sensitive at detecting CBF reduction in the CU Aβ+ and CI Aβ+ groups. In CU participants, lower CBF was associated with altered biomarkers of Aβ, tau, synaptic dysfunction, and neurodegeneration. DISCUSSION CBF reduction occurs early in the AD continuum. te-ASL is more sensitive than single-PLD ASL at detecting CBF changes in AD. HIGHLIGHTS Lower CBF can be detected in CU subjects in the early AD continuum. te-ASL is more sensitive than single-PLD ASL at detecting CBF alterations in AD. CBF is linked to biomarkers of AD, synaptic dysfunction, and neurodegeneration.
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Affiliation(s)
- Carles Falcon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain
- Neuroimagen de Enfermedades Neurodegenerativas y Envejecimiento Saludable, Hospital del Mar Research Institute, Barcelona, Spain
| | | | - Lena Václavů
- Department of Radiology, C. J. Gorter MRI Center, Leiden University Medical Center, Leiden, Netherlands
| | - Michalis Kassinopoulos
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Neuroimagen de Enfermedades Neurodegenerativas y Envejecimiento Saludable, Hospital del Mar Research Institute, Barcelona, Spain
| | - Karine Fauria
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Neuroimagen de Enfermedades Neurodegenerativas y Envejecimiento Saludable, Hospital del Mar Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Diego Cascales-Lahoz
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Servei de Neurologia, Hospital del Mar, Pg. Marítim de la Barceloneta, Barcelona, Spain
| | - José Contador
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Servei de Neurologia, Hospital del Mar, Pg. Marítim de la Barceloneta, Barcelona, Spain
| | - Aida Fernández-Lebrero
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Servei de Neurologia, Hospital del Mar, Pg. Marítim de la Barceloneta, Barcelona, Spain
| | - Irene Navalpotro
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Servei de Neurologia, Hospital del Mar, Pg. Marítim de la Barceloneta, Barcelona, Spain
| | - Albert Puig-Pijoan
- Servei de Neurologia, Hospital del Mar, Pg. Marítim de la Barceloneta, Barcelona, Spain
| | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Neuroimagen de Enfermedades Neurodegenerativas y Envejecimiento Saludable, Hospital del Mar Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
- Servei de Neurologia, Hospital del Mar, Pg. Marítim de la Barceloneta, Barcelona, Spain
| | | | | | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- UK Dementia Research Institute at University College London (UCL), London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Neuroimagen de Enfermedades Neurodegenerativas y Envejecimiento Saludable, Hospital del Mar Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
- Servei de Neurologia, Hospital del Mar, Pg. Marítim de la Barceloneta, Barcelona, Spain
| | - Matthias J P Van Osch
- Department of Radiology, C. J. Gorter MRI Center, Leiden University Medical Center, Leiden, Netherlands
| | | | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain
- Neuroimagen de Enfermedades Neurodegenerativas y Envejecimiento Saludable, Hospital del Mar Research Institute, Barcelona, Spain
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Singh NA, Alnobani A, Graff‐Radford J, Machulda MM, Mielke MM, Schwarz CG, Senjem ML, Jack CR, Lowe VJ, Kanekiyo T, Josephs KA, Whitwell JL. Relationships between PET and blood plasma biomarkers in corticobasal syndrome. Alzheimers Dement 2024; 20:4765-4774. [PMID: 38885334 PMCID: PMC11247700 DOI: 10.1002/alz.13914] [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: 02/22/2024] [Revised: 04/26/2024] [Accepted: 04/28/2024] [Indexed: 06/20/2024]
Abstract
INTRODUCTION Corticobasal syndrome (CBS) can result from underlying Alzheimer's disease (AD) pathologies. Little is known about the utility of blood plasma metrics to predict positron emission tomography (PET) biomarker-confirmed AD in CBS. METHODS A cohort of eighteen CBS patients (8 amyloid beta [Aβ]+; 10 Aβ-) and 8 cognitively unimpaired (CU) individuals underwent PET imaging and plasma analysis. Plasma concentrations were compared using a Kruskal-Wallis test. Spearman correlations assessed relationships between plasma concentrations and PET uptake. RESULTS CBS Aβ+ group showed a reduced Aβ42/40 ratio, with elevated phosphorylated tau (p-tau)181, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) concentrations, while CBS Aβ- group only showed elevated NfL concentration compared to CU. Both p-tau181 and GFAP were able to differentiate CBS Aβ- from CBS Aβ+ and showed positive associations with Aβ and tau PET uptake. DISCUSSION This study supports use of plasma p-tau181 and GFAP to detect AD in CBS. NfL shows potential as a non-specific disease biomarker of CBS regardless of underlying pathology. HIGHLIGHTS Plasma phosphorylated tau (p-tau)181 and glial fibrillary acidic protein (GFAP) concentrations differentiate corticobasal syndrome (CBS) amyloid beta (Aβ)- from CBS Aβ+. Plasma neurofilament light concentrations are elevated in CBS Aβ- and Aβ+ compared to controls. Plasma p-tau181 and GFAP concentrations were associated with Aβ and tau positron emission tomography (PET) uptake. Aβ42/40 ratio showed a negative correlation with Aβ PET uptake.
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Affiliation(s)
| | - Alla Alnobani
- Department of Neuroscience, Mayo ClinicJacksonvilleFloridaUSA
| | | | - Mary M. Machulda
- Department of Psychiatry & Psychology, Mayo ClinicRochesterMinnesotaUSA
| | - Michelle M. Mielke
- Department of Epidemiology and PreventionWake Forest UniversityWinston‐SalemNorth CarolinaUSA
| | | | | | | | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
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Thananthirige KPM, Chitranshi N, Basavarajappa D, Rajput R, Abbasi M, Palanivel V, Gupta VB, Paulo JA, Koronyo-Hamaoui M, Mirzaei M, Graham SL, Gupta V. Tau modulation through AAV9 therapy augments Akt/Erk survival signalling in glaucoma mitigating the retinal degenerative phenotype. Acta Neuropathol Commun 2024; 12:89. [PMID: 38845058 PMCID: PMC11158005 DOI: 10.1186/s40478-024-01804-0] [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: 12/07/2023] [Accepted: 05/27/2024] [Indexed: 06/09/2024] Open
Abstract
The microtubule-associated protein Tau is a key player in various neurodegenerative conditions, including Alzheimer's disease (AD) and Tauopathies, where its hyperphosphorylation disrupts neuronal microtubular lattice stability. Glaucoma, a neurodegenerative disorder affecting the retina, leads to irreversible vision loss by damaging retinal ganglion cells and the optic nerve, often associated with increased intraocular pressure. Prior studies have indicated Tau expression and phosphorylation alterations in the retina in both AD and glaucoma, yet the causative or downstream nature of Tau protein changes in these pathologies remains unclear. This study investigates the impact of Tau protein modulation on retinal neurons under normal and experimental glaucoma conditions. Employing AAV9-mediated gene therapy for Tau overexpression and knockdown, both manipulations were found to adversely affect retinal structural and functional measures as well as neuroprotective Akt/Erk survival signalling in healthy conditions. In the experimental glaucoma model, Tau overexpression intensified inner retinal degeneration, while Tau silencing provided significant protection against these degenerative changes. These findings underscore the critical role of endogenous Tau protein levels in preserving retinal integrity and emphasize the therapeutic potential of targeting Tau in glaucoma pathology.
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Affiliation(s)
| | - Nitin Chitranshi
- Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, 2109, Australia
| | - Devaraj Basavarajappa
- Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, 2109, Australia
| | - Rashi Rajput
- Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, 2109, Australia
| | - Mojdeh Abbasi
- Division of Ophthalmology, Department of Biomedical and Clinical Sciences, Linköping University, 58183, Linköping, Sweden
| | - Viswanthram Palanivel
- Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, 2109, Australia
| | - Veer Bala Gupta
- School of Medicine, Deakin University, Melbourne, VIC, 3220, Australia
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Maya Koronyo-Hamaoui
- Department of Neurosurgery, Cedars-Sinai Medical Center, Maxine Dunitz Neurosurgical Research Institute, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
- Division of Applied Cell Biology and Physiology, Departments of Neurology and Biomedical Sciences, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, USA
| | - Mehdi Mirzaei
- Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, 2109, Australia
| | - Stuart L Graham
- Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, 2109, Australia
| | - Vivek Gupta
- Faculty of Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, 2109, Australia.
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Jácome D, Cotrufo T, Andrés-Benito P, Lidón L, Martí E, Ferrer I, Del Río JA, Gavín R. miR-519a-3p, found to regulate cellular prion protein during Alzheimer's disease pathogenesis, as a biomarker of asymptomatic stages. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167187. [PMID: 38653354 DOI: 10.1016/j.bbadis.2024.167187] [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: 12/14/2023] [Revised: 04/11/2024] [Accepted: 04/16/2024] [Indexed: 04/25/2024]
Abstract
Clinical relevance of miRNAs as biomarkers is growing due to their stability and detection in biofluids. In this, diagnosis at asymptomatic stages of Alzheimer's disease (AD) remains a challenge since it can only be made at autopsy according to Braak NFT staging. Achieving the objective of detecting AD at early stages would allow possible therapies to be addressed before the onset of cognitive impairment. Many studies have determined that the expression pattern of some miRNAs is dysregulated in AD patients, but to date, none has been correlated with downregulated expression of cellular prion protein (PrPC) during disease progression. That is why, by means of cross studies of miRNAs up-regulated in AD with in silico identification of potential miRNAs-binding to 3'UTR of human PRNP gene, we selected miR-519a-3p for our study. Then, in vitro experiments were carried out in two ways. First, we validated miR-519a-3p target on 3'UTR-PRNP, and second, we analyzed the levels of PrPC expression after using of mimic technology on cell culture. In addition, RT-qPCR was performed to analyzed miR-519a-3p expression in human cerebral samples of AD at different stages of disease evolution. Additionally, samples of other neurodegenerative diseases such as other non-AD tauopathies and several synucleinopathies were included in the study. Our results showed that miR-519a-3p overlaps with PRNP 3'UTR in vitro and promotes downregulation of PrPC. Moreover, miR-519a-3p was found to be up-regulated exclusively in AD samples from stage I to VI, suggesting its potential use as a novel label of preclinical stages of the disease.
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Affiliation(s)
- Dayaneth Jácome
- Molecular and Cellular Neurobiotechnology, Institute for Bioengineering of Catalonia, Barcelona, Spain; Department of Cell Biology, Physiology and Immunology, University of Barcelona, Barcelona, Spain.
| | - Tiziana Cotrufo
- Molecular and Cellular Neurobiotechnology, Institute for Bioengineering of Catalonia, Barcelona, Spain; Department of Cell Biology, Physiology and Immunology, University of Barcelona, Barcelona, Spain; Institute of Neuroscience, University of Barcelona, Barcelona, Spain.
| | - Pol Andrés-Benito
- Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Barcelona, Madrid, Spain; Neurologic Diseases and Neurogenetics Group, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
| | - Laia Lidón
- Molecular and Cellular Neurobiotechnology, Institute for Bioengineering of Catalonia, Barcelona, Spain; Department of Cell Biology, Physiology and Immunology, University of Barcelona, Barcelona, Spain; Institute of Neuroscience, University of Barcelona, Barcelona, Spain; Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Barcelona, Madrid, Spain.
| | - Eulàlia Martí
- Institute of Neuroscience, University of Barcelona, Barcelona, Spain; Functional Genomics of Neurodegenerative Diseases, Department of Biomedical Sciences, University of Barcelona, Barcelona, Spain; CIBERESP (Centro en Red de Epidemiología y Salud Pública), Spain.
| | - Isidre Ferrer
- Institute of Neuroscience, University of Barcelona, Barcelona, Spain; Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Barcelona, Madrid, Spain; Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain; Senior Consultant Neuropathology, Service of Pathology, Bellvitge University Hospital, Hospitalet de Llobregat, Spain.
| | - José Antonio Del Río
- Molecular and Cellular Neurobiotechnology, Institute for Bioengineering of Catalonia, Barcelona, Spain; Department of Cell Biology, Physiology and Immunology, University of Barcelona, Barcelona, Spain; Institute of Neuroscience, University of Barcelona, Barcelona, Spain; Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Barcelona, Madrid, Spain.
| | - Rosalina Gavín
- Molecular and Cellular Neurobiotechnology, Institute for Bioengineering of Catalonia, Barcelona, Spain; Department of Cell Biology, Physiology and Immunology, University of Barcelona, Barcelona, Spain; Institute of Neuroscience, University of Barcelona, Barcelona, Spain; Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Barcelona, Madrid, Spain.
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6
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Antonioni A, Raho EM, Di Lorenzo F. Is blood pTau a reliable indicator of the CSF status? A narrative review. Neurol Sci 2024; 45:2471-2487. [PMID: 38129590 DOI: 10.1007/s10072-023-07258-x] [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: 10/03/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The identification of biomarkers for the early diagnosis of Alzheimer's disease (AD) is a crucial goal of the current research. Blood biomarkers are less invasive, easier to obtain and achievable by a cheaper means than those on cerebrospinal fluid (CSF) and significantly more economic than functional neuroimaging investigations; thus, a great interest is focused on blood isoforms of the phosphorylated Tau protein (pTau), indicators of ongoing tau pathology (i.e. neurofibrillary tangles, NFTs, an AD neuropathological hallmark) in the central nervous system (CNS). However, current data often highlight discordant results about the ability of blood pTau to predict CSF status. OBJECTIVE We aim to synthesise the studies that compared pTau levels on CSF and blood to assess their correlation in AD continuum. METHODS We performed a narrative literature review using, first, MEDLINE (via PubMed) by means of MeSH terms, and then, we expanded the reults by means of Scopus and Web of Sciences to be as inclusive as possible. Finally, we added work following an expert opinion. Only papers presenting original data on pTau values on both blood and CSF were included. RESULTS The 33 included studies show an extreme heterogeneity in terms of pTau isoform (pTau181, 217 and 231), laboratory methods, diagnostic criteria and choice of comparison groups. Most studies evaluated plasma pTau181, while data on other isoforms and serum are scarcer. DISCUSSION Most papers identify a correlation between CSF and blood measurements. Furthermore, even when not specified, it is often possible to show an increase in blood pTau values as AD-related damage progresses in the AD continuum and higher values in AD than in other neurodegenerative diseases. Notably, plasma pTau231 seems the first biomarker to look for in the earliest and pre-clinical stages, quickly followed by pTau217 and, finally, by pTau181. CONCLUSIONS Our results encourage the use of blood pTau for the early identification of patients with AD continuum.
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Affiliation(s)
- Annibale Antonioni
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121, Ferrara, Italy
- Doctoral Program in Translational Neurosciences and Neurotechnologies, University of Ferrara, 44121, Ferrara, Italy
| | - Emanuela Maria Raho
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121, Ferrara, Italy
| | - Francesco Di Lorenzo
- Non Invasive Brain Stimulation Unit, Istituto Di Ricovero E Cura a Carattere Scientifico Santa Lucia, 00179, Rome, Italy.
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7
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Therriault J, Schindler SE, Salvadó G, Pascoal TA, Benedet AL, Ashton NJ, Karikari TK, Apostolova L, Murray ME, Verberk I, Vogel JW, La Joie R, Gauthier S, Teunissen C, Rabinovici GD, Zetterberg H, Bateman RJ, Scheltens P, Blennow K, Sperling R, Hansson O, Jack CR, Rosa-Neto P. Biomarker-based staging of Alzheimer disease: rationale and clinical applications. Nat Rev Neurol 2024; 20:232-244. [PMID: 38429551 DOI: 10.1038/s41582-024-00942-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/05/2024] [Indexed: 03/03/2024]
Abstract
Disease staging, whereby the spatial extent and load of brain pathology are used to estimate the severity of Alzheimer disease (AD), is pivotal to the gold-standard neuropathological diagnosis of AD. Current in vivo diagnostic frameworks for AD are based on abnormal concentrations of amyloid-β and tau in the cerebrospinal fluid or on PET scans, and breakthroughs in molecular imaging have opened up the possibility of in vivo staging of AD. Focusing on the key principles of disease staging shared across several areas of medicine, this Review highlights the potential for in vivo staging of AD to transform our understanding of preclinical AD, refine enrolment criteria for trials of disease-modifying therapies and aid clinical decision-making in the era of anti-amyloid therapeutics. We provide a state-of-the-art review of recent biomarker-based AD staging systems and highlight their contributions to the understanding of the natural history of AD. Furthermore, we outline hypothetical frameworks to stage AD severity using more accessible fluid biomarkers. In addition, by applying amyloid PET-based staging to recently published anti-amyloid therapeutic trials, we highlight how biomarker-based disease staging frameworks could illustrate the numerous pathological changes that have already taken place in individuals with mildly symptomatic AD. Finally, we discuss challenges related to the validation and standardization of disease staging and provide a forward-looking perspective on potential clinical applications.
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Affiliation(s)
- Joseph Therriault
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montreal, Quebec, Canada.
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.
| | - Suzanne E Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Gemma Salvadó
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Tharick A Pascoal
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andréa Lessa Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- NIHR Biomedical Research Centre, South London and Maudsley NHS Foundation, London, UK
| | - Thomas K Karikari
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Liana Apostolova
- Department of Neurology, University of Indiana School of Medicine, Indianapolis, IN, USA
| | | | - Inge Verberk
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Jacob W Vogel
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Clinical Sciences, Malmö, SciLifeLab, Lund University, Lund, Sweden
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Serge Gauthier
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family SILQ Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Philip Scheltens
- Alzheimer Centre Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Reisa Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | | | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
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8
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Mendes AJ, Ribaldi F, Lathuiliere A, Ashton NJ, Janelidze S, Zetterberg H, Scheffler M, Assal F, Garibotto V, Blennow K, Hansson O, Frisoni GB. Head-to-head study of diagnostic accuracy of plasma and cerebrospinal fluid p-tau217 versus p-tau181 and p-tau231 in a memory clinic cohort. J Neurol 2024; 271:2053-2066. [PMID: 38195896 PMCID: PMC10972950 DOI: 10.1007/s00415-023-12148-5] [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: 10/27/2023] [Revised: 12/01/2023] [Accepted: 12/03/2023] [Indexed: 01/11/2024]
Abstract
BACKGROUND AND OBJECTIVE Phosphorylated tau (p-tau) 217 has recently received attention because it seems more reliable than other p-tau variants for identifying Alzheimer's disease (AD) pathology. Thus, we aimed to compare the diagnostic accuracy of plasma and CSF p-tau217 with p-tau181 and p-tau231 in a memory clinic cohort. METHODS The study included 114 participants (CU = 33; MCI = 67; Dementia = 14). The p-tau variants were correlated versus continuous measures of amyloid (A) and tau (T)-PET. The p-tau phospho-epitopes were assessed through: (i) effect sizes (δ) between diagnostic and A ± and T ± groups; (ii) receiver operating characteristic (ROC) analyses in A-PET and T-PET. RESULTS The correlations between both plasma and CSF p-tau217 with A-PET and T-PET (r range 0.64-0.83) were stronger than those of p-tau181 (r range 0.44-0.79) and p-tau231 (r range 0.46-0.76). Plasma p-tau217 showed significantly higher diagnostic accuracy than p-tau181 and p-tau231 in (i) differences between diagnostic and biomarker groups (δrange: p-tau217 = 0.55-0.96; p-tau181 = 0.51-0.67; p-tau231 = 0.53-0.71); (ii) ROC curves to identify A-PET and T-PET positivity (AUCaverage: p-tau217 = 0.96; p-tau181 = 0.76; p-tau231 = 0.79). On the other hand, CSF p-tau217 (AUCaverage = 0.95) did not reveal significant differences in A-PET and T-PET AUC than p-tau181 (AUCaverage = 0.88) and p-tau231 (AUCaverage = 0.89). DISCUSSION Plasma p-tau217 demonstrated better performance in the identification of AD pathology and clinical phenotypes in comparison with other variants of p-tau in a memory clinic cohort. Furthermore, p-tau217 had comparable performance in plasma and CSF. Our findings suggest the potential of plasma p-tau217 in the diagnosis and screening for AD, which could allow for a decreased use of invasive biomarkers in the future.
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Affiliation(s)
- Augusto J Mendes
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
| | - Federica Ribaldi
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland
| | - Aurelien Lathuiliere
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- King's College London, Institute of Psychiatry, Psychology and Neuroscience Maurice Wohl Institute Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Max Scheffler
- Division of Radiology, Geneva University Hospitals, Geneva, Switzerland
| | - Frédéric Assal
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - 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
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, People's Republic of China
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - 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
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9
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Kourti M, Metaxas A. A systematic review and meta-analysis of tau phosphorylation in mouse models of familial Alzheimer's disease. Neurobiol Dis 2024; 192:106427. [PMID: 38307366 DOI: 10.1016/j.nbd.2024.106427] [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: 12/07/2023] [Revised: 01/17/2024] [Accepted: 01/30/2024] [Indexed: 02/04/2024] Open
Abstract
Transgenic models of familial Alzheimer's disease (AD) serve as valuable tools for probing the molecular mechanisms associated with amyloid-beta (Aβ)-induced pathology. In this meta-analysis, we sought to evaluate levels of phosphorylated tau (p-tau) and explore potential age-related variations in tau hyperphosphorylation, within mouse models of AD. The PubMed and Scopus databases were searched for studies measuring soluble p-tau in 5xFAD, APPswe/PSEN1de9, J20 and APP23 mice. Data were extracted and analyzed using standardized procedures. For the 5xFAD model, the search yielded 36 studies eligible for meta-analysis. Levels of p-tau were higher in 5xFAD mice relative to control, a difference that was evident in both the carboxy-terminal (CT) and proline-rich (PR) domains of tau. Age negatively moderated the relationship between genotype and CT phosphorylated tau in studies using hybrid mice, female mice, and preparations from the neocortex. For the APPswe/PSEN1de9 model, the search yielded 27 studies. Analysis showed tau hyperphosphorylation in transgenic vs. control animals, evident in both the CT and PR regions of tau. Age positively moderated the relationship between genotype and PR domain phosphorylated tau in the neocortex of APPswe/PSEN1de9 mice. A meta-analysis was not performed for the J20 and APP23 models, due to the limited number of studies measuring p-tau levels in these mice (<10 studies). Although tau is hyperphosphorylated in both 5xFAD and APPswe/PSEN1de9 mice, the effects of ageing on p-tau are contingent upon the model being examined. These observations emphasize the importance of tailoring model selection to the appropriate disease stage when considering the relationship between Aβ and tau, and suggest that there are optimal intervention points for the administration of both anti-amyloid and anti-tau therapies.
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Affiliation(s)
- Malamati Kourti
- School of Sciences, Department of Life Sciences, European University Cyprus, 2404 Egkomi, Nicosia, Cyprus; Angiogenesis and Cancer Drug Discovery Group, Basic and Translational Cancer Research Centre, Department of Life Sciences, European University Cyprus, 2404 Egkomi, Nicosia, Cyprus.
| | - Athanasios Metaxas
- School of Sciences, Department of Life Sciences, European University Cyprus, 2404 Egkomi, Nicosia, Cyprus; Department of Neurobiology, Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
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10
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Therriault J, Woo MS, Salvadó G, Gobom J, Karikari TK, Janelidze S, Servaes S, Rahmouni N, Tissot C, Ashton NJ, Benedet AL, Montoliu-Gaya L, Macedo AC, Lussier FZ, Stevenson J, Vitali P, Friese MA, Massarweh G, Soucy JP, Pascoal TA, Stomrud E, Palmqvist S, Mattsson-Carlgren N, Gauthier S, Zetterberg H, Hansson O, Blennow K, Rosa-Neto P. Comparison of immunoassay- with mass spectrometry-derived p-tau quantification for the detection of Alzheimer's disease pathology. Mol Neurodegener 2024; 19:2. [PMID: 38185677 PMCID: PMC10773025 DOI: 10.1186/s13024-023-00689-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 11/28/2023] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND Antibody-based immunoassays have enabled quantification of very low concentrations of phosphorylated tau (p-tau) protein forms in cerebrospinal fluid (CSF), aiding in the diagnosis of AD. Mass spectrometry enables absolute quantification of multiple p-tau variants within a single run. The goal of this study was to compare the performance of mass spectrometry assessments of p-tau181, p-tau217 and p-tau231 with established immunoassay techniques. METHODS We measured p-tau181, p-tau217 and p-tau231 concentrations in CSF from 173 participants from the TRIAD cohort and 394 participants from the BioFINDER-2 cohort using both mass spectrometry and immunoassay methods. All subjects were clinically evaluated by dementia specialists and had amyloid-PET and tau-PET assessments. Bland-Altman analyses evaluated the agreement between immunoassay and mass spectrometry p-tau181, p-tau217 and p-tau231. P-tau associations with amyloid-PET and tau-PET uptake were also compared. Receiver Operating Characteristic (ROC) analyses compared the performance of mass spectrometry and immunoassays p-tau concentrations to identify amyloid-PET positivity. RESULTS Mass spectrometry and immunoassays of p-tau217 were highly comparable in terms of diagnostic performance, between-group effect sizes and associations with PET biomarkers. In contrast, p-tau181 and p-tau231 concentrations measured using antibody-free mass spectrometry had lower performance compared with immunoassays. CONCLUSIONS Our results suggest that while similar overall, immunoassay-based p-tau biomarkers are slightly superior to antibody-free mass spectrometry-based p-tau biomarkers. Future work is needed to determine whether the potential to evaluate multiple biomarkers within a single run offsets the slightly lower performance of antibody-free mass spectrometry-based p-tau quantification.
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Affiliation(s)
- Joseph Therriault
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Marcel S Woo
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada
- Department of Neurology, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, 20251, Germany
| | - Gemma Salvadó
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, S-431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, S-431 80, Sweden
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, S-431 80, Sweden
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, 15213, USA
| | - Shorena Janelidze
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Stijn Servaes
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Nesrine Rahmouni
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Cécile Tissot
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, S-431 80, Sweden
- Wallenberg Centre for Molecular Medicine, University of Gothenburg, Gothenburg, S-413 45, Sweden
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, London, SE5 9RT, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, SE5 8AF, UK
| | - Andréa Lessa Benedet
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, S-431 80, Sweden
| | - Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, S-431 80, Sweden
| | - Arthur C Macedo
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Firoza Z Lussier
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, 15213, USA
| | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada
| | - Paolo Vitali
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Manuel A Friese
- Department of Neurology, Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, 20251, Germany
| | - Gassan Massarweh
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Jean-Paul Soucy
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Tharick A Pascoal
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, 15213, USA
| | - Erik Stomrud
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Sebastian Palmqvist
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Niklas Mattsson-Carlgren
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Serge Gauthier
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, S-431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, S-431 80, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 6BG, UK
- UK Dementia Research Institute at UCL, London, WC1N 6BG, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA
| | - Oskar Hansson
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, S-431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, S-431 80, Sweden
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSSS) de l'Ouest-de-L'Île-de-Montréal, 6875 La Salle Blvd - FBC Room 3149, Montréal, Québec, H4H 1R3, Canada.
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada.
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11
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Veitch DP, Weiner MW, Miller M, Aisen PS, Ashford MA, Beckett LA, Green RC, Harvey D, Jack CR, Jagust W, Landau SM, Morris JC, Nho KT, Nosheny R, Okonkwo O, Perrin RJ, Petersen RC, Rivera Mindt M, Saykin A, Shaw LM, Toga AW, Tosun D. The Alzheimer's Disease Neuroimaging Initiative in the era of Alzheimer's disease treatment: A review of ADNI studies from 2021 to 2022. Alzheimers Dement 2024; 20:652-694. [PMID: 37698424 PMCID: PMC10841343 DOI: 10.1002/alz.13449] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/27/2023] [Accepted: 08/01/2023] [Indexed: 09/13/2023]
Abstract
The Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to improve Alzheimer's disease (AD) clinical trials. Since 2006, ADNI has shared clinical, neuroimaging, and cognitive data, and biofluid samples. We used conventional search methods to identify 1459 publications from 2021 to 2022 using ADNI data/samples and reviewed 291 impactful studies. This review details how ADNI studies improved disease progression understanding and clinical trial efficiency. Advances in subject selection, detection of treatment effects, harmonization, and modeling improved clinical trials and plasma biomarkers like phosphorylated tau showed promise for clinical use. Biomarkers of amyloid beta, tau, neurodegeneration, inflammation, and others were prognostic with individualized prediction algorithms available online. Studies supported the amyloid cascade, emphasized the importance of neuroinflammation, and detailed widespread heterogeneity in disease, linked to genetic and vascular risk, co-pathologies, sex, and resilience. Biological subtypes were consistently observed. Generalizability of ADNI results is limited by lack of cohort diversity, an issue ADNI-4 aims to address by enrolling a diverse cohort.
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Affiliation(s)
- Dallas P. Veitch
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Melanie Miller
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Paul S. Aisen
- Alzheimer's Therapeutic Research InstituteUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Miriam A. Ashford
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Laurel A. Beckett
- Division of BiostatisticsDepartment of Public Health SciencesUniversity of CaliforniaDavisCaliforniaUSA
| | - Robert C. Green
- Division of GeneticsDepartment of MedicineBrigham and Women's HospitalBroad Institute Ariadne Labs and Harvard Medical SchoolBostonMassachusettsUSA
| | - Danielle Harvey
- Division of BiostatisticsDepartment of Public Health SciencesUniversity of CaliforniaDavisCaliforniaUSA
| | | | - William Jagust
- Helen Wills Neuroscience InstituteUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - Susan M. Landau
- Helen Wills Neuroscience InstituteUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - John C. Morris
- Knight Alzheimer's Disease Research CenterWashington University School of MedicineSaint LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSaint LouisMissouriUSA
- Department of Pathology and ImmunologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Kwangsik T. Nho
- Department of Radiology and Imaging Sciences and the Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Center for Computational Biology and BioinformaticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Rachel Nosheny
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Ozioma Okonkwo
- Wisconsin Alzheimer's Disease Research Center and Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Richard J. Perrin
- Knight Alzheimer's Disease Research CenterWashington University School of MedicineSaint LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSaint LouisMissouriUSA
- Department of Pathology and ImmunologyWashington University School of MedicineSaint LouisMissouriUSA
| | | | - Monica Rivera Mindt
- Department of PsychologyLatin American and Latino Studies InstituteAfrican and African American StudiesFordham UniversityNew YorkNew YorkUSA
- Department of NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Andrew Saykin
- Department of Radiology and Imaging Sciences and the Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine and the PENN Alzheimer's Disease Research CenterCenter for Neurodegenerative ResearchPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Arthur W. Toga
- Laboratory of Neuro ImagingInstitute of Neuroimaging and InformaticsKeck School of Medicine of University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Duygu Tosun
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
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12
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Wang Y, Zhang Y, Yu E. Targeted examination of amyloid beta and tau protein accumulation via positron emission tomography for the differential diagnosis of Alzheimer's disease based on the A/T(N) research framework. Clin Neurol Neurosurg 2024; 236:108071. [PMID: 38043158 DOI: 10.1016/j.clineuro.2023.108071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 11/24/2023] [Accepted: 11/25/2023] [Indexed: 12/05/2023]
Abstract
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases among the older population. Its main pathological features include the abnormal deposition of extracellular amyloid-β plaques and the intracellular neurofibrillary tangles of tau proteins. Its clinical presentation is complex. This review introduces the pathological processes in AD and other common neurodegenerative diseases. It then discusses the positron emission tomography (PET) probes that target amyloid-β plaques and tau proteins for diagnosing AD. According to the A/T(N) research framework, combined targeted amyloid-β and tau protein detection via PET to further improve the diagnostic accuracy of AD. In particular, the properties of the 18F-flortaucipir and 18F-MK6240 tracers-may be more beneficial in helping to differentiate AD from other common neurodegenerative diseases, such as dementia with Lewy bodies, Parkinson's disease dementia, and frontotemporal dementia. Furthermore, the A/T(N) research framework should be used as the clinical diagnosis model of AD in the future.
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Affiliation(s)
- Ye Wang
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou 310053, China; Department of Psychiatry, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), 310022, China
| | - Yuhan Zhang
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Enyan Yu
- Department of Psychiatry, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), 310022, China.
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13
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Burnham SC, Iaccarino L, Pontecorvo MJ, Fleisher AS, Lu M, Collins EC, Devous MD. A review of the flortaucipir literature for positron emission tomography imaging of tau neurofibrillary tangles. Brain Commun 2023; 6:fcad305. [PMID: 38187878 PMCID: PMC10768888 DOI: 10.1093/braincomms/fcad305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/13/2023] [Accepted: 11/14/2023] [Indexed: 01/09/2024] Open
Abstract
Alzheimer's disease is defined by the presence of β-amyloid plaques and neurofibrillary tau tangles potentially preceding clinical symptoms by many years. Previously only detectable post-mortem, these pathological hallmarks are now identifiable using biomarkers, permitting an in vivo definitive diagnosis of Alzheimer's disease. 18F-flortaucipir (previously known as 18F-T807; 18F-AV-1451) was the first tau positron emission tomography tracer to be introduced and is the only Food and Drug Administration-approved tau positron emission tomography tracer (Tauvid™). It has been widely adopted and validated in a number of independent research and clinical settings. In this review, we present an overview of the published literature on flortaucipir for positron emission tomography imaging of neurofibrillary tau tangles. We considered all accessible peer-reviewed literature pertaining to flortaucipir through 30 April 2022. We found 474 relevant peer-reviewed publications, which were organized into the following categories based on their primary focus: typical Alzheimer's disease, mild cognitive impairment and pre-symptomatic populations; atypical Alzheimer's disease; non-Alzheimer's disease neurodegenerative conditions; head-to-head comparisons with other Tau positron emission tomography tracers; and technical considerations. The available flortaucipir literature provides substantial evidence for the use of this positron emission tomography tracer in assessing neurofibrillary tau tangles in Alzheimer's disease and limited support for its use in other neurodegenerative disorders. Visual interpretation and quantitation approaches, although heterogeneous, mostly converge and demonstrate the high diagnostic and prognostic value of flortaucipir in Alzheimer's disease.
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Affiliation(s)
| | | | | | | | - Ming Lu
- Avid, Eli Lilly and Company, Philadelphia, PA 19104, USA
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14
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Ramanan VK, Gebre RK, Graff-Radford J, Hofrenning E, Algeciras-Schimnich A, Figdore DJ, Lowe VJ, Mielke MM, Knopman DS, Ross OA, Jack CR, Petersen RC, Vemuri P. Genetic risk scores enhance the diagnostic value of plasma biomarkers of brain amyloidosis. Brain 2023; 146:4508-4519. [PMID: 37279785 PMCID: PMC10629762 DOI: 10.1093/brain/awad196] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 05/02/2023] [Accepted: 05/14/2023] [Indexed: 06/08/2023] Open
Abstract
Blood-based biomarkers offer strong potential to revolutionize diagnosis, trial enrolment and treatment monitoring in Alzheimer's disease (AD). However, further advances are needed before these biomarkers can achieve wider deployment beyond selective research studies and specialty memory clinics, including the development of frameworks for optimal interpretation of biomarker profiles. We hypothesized that integrating Alzheimer's disease genetic risk score (AD-GRS) data would enhance the diagnostic value of plasma AD biomarkers by better capturing extant disease heterogeneity. Analysing 962 individuals from a population-based sample, we observed that an AD-GRS was independently associated with amyloid PET levels (an early marker of AD pathophysiology) over and above APOE ε4 or plasma p-tau181, amyloid-β42/40, glial fibrillary acidic protein or neurofilament light chain. Among individuals with a high or moderately high plasma p-tau181, integrating AD-GRS data significantly improved classification accuracy of amyloid PET positivity, including the finding that the combination of a high AD-GRS and high plasma p-tau181 outperformed p-tau181 alone in classifying amyloid PET positivity (88% versus 68%; P = 0.001). A machine learning approach incorporating plasma biomarkers, demographics and the AD-GRS was highly accurate in predicting amyloid PET levels (90% training set; 89% test set) and Shapley value analyses (an explainer method based in cooperative game theory) indicated that the AD-GRS and plasma biomarkers had differential importance in explaining amyloid deposition across individuals. Polygenic risk for AD dementia appears to account for a unique portion of disease heterogeneity, which could non-invasively enhance the interpretation of blood-based AD biomarker profiles in the population.
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Affiliation(s)
- Vijay K Ramanan
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Robel K Gebre
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Ekaterina Hofrenning
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Daniel J Figdore
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Michelle M Mielke
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Owen A Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
- Department of Clinical Genomics, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ronald C Petersen
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
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15
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Monteiro C, Toth B, Brunstein F, Bobbala A, Datta S, Ceniceros R, Sanabria Bohorquez SM, Anania VG, Wildsmith KR, Schauer SP, Lee J, Dolton MJ, Ramakrishnan V, Abramzon D, Teng E. Randomized Phase II Study of the Safety and Efficacy of Semorinemab in Participants With Mild-to-Moderate Alzheimer Disease: Lauriet. Neurology 2023; 101:e1391-e1401. [PMID: 37643887 PMCID: PMC10573141 DOI: 10.1212/wnl.0000000000207663] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/02/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Accumulation of tau pathology in Alzheimer disease (AD) correlates with cognitive decline. Anti-tau immunotherapies were proposed as potential interventions in AD. While antibodies targeting N-terminal tau failed to demonstrate clinical efficacy in prodromal-to-mild AD, their utility at other disease stages was not evaluated in prior studies. Lauriet is a phase 2 study of an anti-tau monoclonal antibody, semorinemab, in patients with mild-to-moderate AD. METHODS The phase 2 Lauriet study included a randomized, placebo-controlled, double-blind period, during which participants with mild-to-moderate AD received 4,500 mg of IV semorinemab or placebo every 4 weeks for 48 or 60 weeks. Participants who chose to continue in the subsequent optional open-label extension received 4,500 mg of semorinemab every 4 weeks for up to 96 weeks. Coprimary efficacy endpoints were change from baseline to week 49 or 61 on the 11-item version of the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog11) and the Alzheimer's Disease Cooperative Study-Activities of Daily Living (ADCS-ADL) scale. Secondary efficacy endpoints included change from baseline on the Mini-Mental State Examination (MMSE) and Clinical Dementia Rating-Sum of Boxes (CDR-SB). Safety, pharmacokinetics, and pharmacodynamic effects were also evaluated. RESULTS Between December 3, 2018, and February 27, 2020, 624 individuals were screened, 272 participants were randomized, and 238 were included in the modified intent-to-treat population (received ≥1 dose(s) of study medication and underwent baseline and ≥1 postbaseline assessment(s)). Baseline characteristics were well balanced. At week 49, the semorinemab arm demonstrated a 42.2% reduction (-2.89 points, 95% CI -4.56 to -1.21, p = 0.0008) in decline on the ADAS-Cog11 (coprimary endpoint) relative to the placebo arm. However, no treatment effects were observed on the ADCS-ADL scale (coprimary endpoint; absolute difference between the 2 treatment arms in the ADCS-ADL score change from baseline of -0.83 points, 95% CI -3.39 to 1.72, p = 0.52) or on the MMSE or CDR-SB (secondary endpoints). Semorinemab was safe and well tolerated. DISCUSSION Based on the results of the prespecified coprimary endpoints, this study was negative. While semorinemab had a significant effect on cognition measured by the ADAS-Cog11, this effect did not extend to improved functional or global outcomes. These results may warrant further exploration of semorinemab or other anti-tau therapies in mild-to-moderate AD. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that semorinemab does not slow functional decline in patients with mild-to-moderate AD. TRIAL REGISTRATION INFORMATION The Lauriet study is registered on ClinicalTrials.gov, NCT03828747, and EudraCT 2018-003398-87.
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Affiliation(s)
| | - Balazs Toth
- From Genentech, Inc., South San Francisco, CA
| | | | | | - Seema Datta
- From Genentech, Inc., South San Francisco, CA
| | | | | | | | | | | | - Julie Lee
- From Genentech, Inc., South San Francisco, CA
| | | | | | | | - Edmond Teng
- From Genentech, Inc., South San Francisco, CA
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16
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Cook BE, Nag S, Arakawa R, Lin EYS, Stratman N, Guckian K, Hering H, Lulla M, Choi J, Salinas C, Genung NE, Morén AF, Bolin M, Boscutti G, Plisson C, Martarello L, Halldin C, Kaliszczak MA. Development of a PET Tracer for OGA with Improved Kinetics in the Living Brain. J Nucl Med 2023; 64:1588-1593. [PMID: 37934021 PMCID: PMC10586483 DOI: 10.2967/jnumed.122.265225] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/31/2023] [Indexed: 07/08/2023] Open
Abstract
O-GlcNAcylation is thought to play a role in the development of tau pathology in Alzheimer's disease because of its ability to modulate tau's aggregation propensity. O-GlcNAcylation is regulated by 2 enzymes: O-GlcNAc transferase and O-GlcNAcase (OGA). Development of a PET tracer would therefore be an essential tool for developing therapeutic small-molecule inhibitors of OGA, enabling clinical testing of target engagement and dose selection. Methods: A collection of small-molecule compounds was screened for inhibitory activity and high-affinity binding to OGA, as well as favorable PET tracer attributes (multidrug resistance protein 1 efflux, central nervous system PET multiparameter optimization, etc.). Two lead compounds with high affinity and selectivity for OGA were selected for further profiling, including OGA binding to tissue homogenate using a radioligand competition binding assay. In vivo pharmacokinetics were established using a microdosing approach with unlabeled compounds in rats. In vivo imaging studies were performed in rodents and nonhuman primates (NHPs) with 11C-labeled compounds. Results: Two selected candidates, BIO-735 and BIO-578, displayed promising attributes in vitro. After radiolabeling with tritium, [3H]BIO-735 and [3H]BIO-578 binding in rodent brain homogenates demonstrated dissociation constants of 0.6 and 2.3 nM, respectively. Binding was inhibited, concentration-dependently, by homologous compounds and thiamet G, a well-characterized and structurally diverse OGA inhibitor. Imaging studies in rats and NHPs showed both tracers had high uptake in the brain and inhibition of binding to OGA in the presence of a nonradioactive compound. However, only BIO-578 demonstrated reversible binding kinetics within the time frame of a PET study with a 11C-labeled molecule to enable quantification using kinetic modeling. Specificity of tracer uptake was confirmed with a 10 mg/kg blocking dose of thiamet G. Conclusion: We describe the development and testing of 2 11C PET tracers targeting the protein OGA. The lead compound BIO-578 demonstrated high affinity and selectivity for OGA in rodent and human postmortem brain tissue, leading to its further testing in NHPs. NHP PET imaging studies showed that the tracer had excellent brain kinetics, with full inhibition of specific binding by thiamet G. These results suggest that the tracer [11C]BIO-578 is well suited for further characterization in humans.
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Affiliation(s)
| | - Sangram Nag
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm County Council, Stockholm, Sweden; and
| | - Ryosuke Arakawa
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm County Council, Stockholm, Sweden; and
| | | | | | | | | | | | | | | | | | - Anton Forsberg Morén
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm County Council, Stockholm, Sweden; and
| | - Martin Bolin
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm County Council, Stockholm, Sweden; and
| | | | | | | | - Christer Halldin
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm County Council, Stockholm, Sweden; and
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17
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Lepinay E, Cicchetti F. Tau: a biomarker of Huntington's disease. Mol Psychiatry 2023; 28:4070-4083. [PMID: 37749233 DOI: 10.1038/s41380-023-02230-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 07/31/2023] [Accepted: 08/11/2023] [Indexed: 09/27/2023]
Abstract
Developing effective treatments for patients with Huntington's disease (HD)-a neurodegenerative disorder characterized by severe cognitive, motor and psychiatric impairments-is proving extremely challenging. While the monogenic nature of this condition enables to identify individuals at risk, robust biomarkers would still be extremely valuable to help diagnose disease onset and progression, and especially to confirm treatment efficacy. If measurements of cerebrospinal fluid neurofilament levels, for example, have demonstrated use in recent clinical trials, other proteins may prove equal, if not greater, relevance as biomarkers. In fact, proteins such as tau could specifically be used to detect/predict cognitive affectations. We have herein reviewed the literature pertaining to the association between tau levels and cognitive states, zooming in on Alzheimer's disease, Parkinson's disease and traumatic brain injury in which imaging, cerebrospinal fluid, and blood samples have been interrogated or used to unveil a strong association between tau and cognition. Collectively, these areas of research have accrued compelling evidence to suggest tau-related measurements as both diagnostic and prognostic tools for clinical practice. The abundance of information retrieved in this niche of study has laid the groundwork for further understanding whether tau-related biomarkers may be applied to HD and guide future investigations to better understand and treat this disease.
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Affiliation(s)
- Eva Lepinay
- Centre de Recherche du CHU de Québec, Axe Neurosciences, Québec, QC, Canada
- Département de Psychiatrie & Neurosciences, Université Laval, Québec, QC, Canada
| | - Francesca Cicchetti
- Centre de Recherche du CHU de Québec, Axe Neurosciences, Québec, QC, Canada.
- Département de Psychiatrie & Neurosciences, Université Laval, Québec, QC, Canada.
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18
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Mundada NS, Rojas JC, Vandevrede L, Thijssen EH, Iaccarino L, Okoye OC, Shankar R, Soleimani-Meigooni DN, Lago AL, Miller BL, Teunissen CE, Heuer H, Rosen HJ, Dage JL, Jagust WJ, Rabinovici GD, Boxer AL, La Joie R. Head-to-head comparison between plasma p-tau217 and flortaucipir-PET in amyloid-positive patients with cognitive impairment. Alzheimers Res Ther 2023; 15:157. [PMID: 37740209 PMCID: PMC10517500 DOI: 10.1186/s13195-023-01302-w] [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: 04/06/2023] [Accepted: 09/07/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND Plasma phosphorylated tau (p-tau) has emerged as a promising biomarker for Alzheimer's disease (AD). Studies have reported strong associations between p-tau and tau-PET that are mainly driven by differences between amyloid-positive and amyloid-negative patients. However, the relationship between p-tau and tau-PET is less characterized within cognitively impaired patients with a biomarker-supported diagnosis of AD. We conducted a head-to-head comparison between plasma p-tau217 and tau-PET in patients at the clinical stage of AD and further assessed their relationships with demographic, clinical, and biomarker variables. METHODS We retrospectively included 87 amyloid-positive patients diagnosed with MCI or dementia due to AD who underwent structural MRI, amyloid-PET (11C-PIB), tau-PET (18F-flortaucipir, FTP), and blood draw assessments within 1 year (age = 66 ± 10, 48% female). Amyloid-PET was quantified in Centiloids (CL) while cortical tau-PET binding was measured using standardized uptake value ratios (SUVRs) referenced against inferior cerebellar cortex. Plasma p-tau217 concentrations were measured using an electrochemiluminescence-based assay on the Meso Scale Discovery platform. MRI-derived cortical volume was quantified with FreeSurfer. Mini-Mental State Examination (MMSE) scores were available at baseline (n = 85) and follow-up visits (n = 28; 1.5 ± 0.7 years). RESULTS Plasma p-tau217 and cortical FTP-SUVR were correlated (r = 0.61, p < .001), especially in temporo-parietal and dorsolateral frontal cortices. Both higher p-tau217 and FTP-SUVR values were associated with younger age, female sex, and lower cortical volume, but not with APOE-ε4 carriership. PIB-PET Centiloids were weakly correlated with FTP-SUVR (r = 0.26, p = 0.02), but not with p-tau217 (r = 0.10, p = 0.36). Regional PET-plasma associations varied with amyloid burden, with p-tau217 being more strongly associated with tau-PET in temporal cortex among patients with moderate amyloid-PET burden, and with tau-PET in primary cortices among patients with high amyloid-PET burden. Higher p-tau217 and FTP-SUVR values were independently associated with lower MMSE scores cross-sectionally, while only baseline FTP-SUVR predicted longitudinal MMSE decline when both biomarkers were included in the same model. CONCLUSION Plasma p-tau217 and tau-PET are strongly correlated in amyloid-PET-positive patients with MCI or dementia due to AD, and they exhibited comparable patterns of associations with demographic variables and with markers of downstream neurodegeneration.
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Affiliation(s)
- Nidhi S Mundada
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Julio C Rojas
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Lawren Vandevrede
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Elisabeth H Thijssen
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Neurodegeneration, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Leonardo Iaccarino
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Eli Lilly and Company, Indianapolis, IN, USA
| | | | - Ranjani Shankar
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - David N Soleimani-Meigooni
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Argentina L Lago
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Neurodegeneration, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Hillary Heuer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Howie J Rosen
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey L Dage
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Adam L Boxer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
- Global Brain Health Institute, San Francisco, CA, USA.
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19
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Erickson P, Simrén J, Brum WS, Ennis GE, Kollmorgen G, Suridjan I, Langhough R, Jonaitis EM, Van Hulle CA, Betthauser TJ, Carlsson CM, Asthana S, Ashton NJ, Johnson SC, Shaw LM, Blennow K, Andreasson U, Bendlin BB, Zetterberg H. Prevalence and Clinical Implications of a β-Amyloid-Negative, Tau-Positive Cerebrospinal Fluid Biomarker Profile in Alzheimer Disease. JAMA Neurol 2023; 80:2807607. [PMID: 37523162 PMCID: PMC10391361 DOI: 10.1001/jamaneurol.2023.2338] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 05/05/2023] [Indexed: 08/01/2023]
Abstract
Importance Knowledge is lacking on the prevalence and prognosis of individuals with a β-amyloid-negative, tau-positive (A-T+) cerebrospinal fluid (CSF) biomarker profile. Objective To estimate the prevalence of a CSF A-T+ biomarker profile and investigate its clinical implications. Design, Setting, and Participants This was a retrospective cohort study of the cross-sectional multicenter University of Gothenburg (UGOT) cohort (November 2019-January 2021), the longitudinal multicenter Alzheimer Disease Neuroimaging Initiative (ADNI) cohort (individuals with mild cognitive impairment [MCI] and no cognitive impairment; September 2005-May 2022), and 2 Wisconsin cohorts, Wisconsin Alzheimer Disease Research Center and Wisconsin Registry for Alzheimer Prevention (WISC; individuals without cognitive impairment; February 2007-November 2020). This was a multicenter study, with data collected from referral centers in clinical routine (UGOT) and research settings (ADNI and WISC). Eligible individuals had 1 lumbar puncture (all cohorts), 2 or more cognitive assessments (ADNI and WISC), and imaging (ADNI only) performed on 2 separate occasions. Data were analyzed on August 2022 to April 2023. Exposures Baseline CSF Aβ42/40 and phosphorylated tau (p-tau)181; cognitive tests (ADNI: modified preclinical Alzheimer cognitive composite [mPACC]; WISC: modified 3-test PACC [PACC-3]). Exposures in the ADNI cohort included [18F]-florbetapir amyloid positron emission tomography (PET), magnetic resonance imaging (MRI), [18F]-fluorodeoxyglucose PET (FDG-PET), and cross-sectional tau-PET (ADNI: [18F]-flortaucipir, WISC: [18F]-MK6240). Main Outcomes and Measures Primary outcomes were the prevalence of CSF AT biomarker profiles and continuous longitudinal global cognitive outcome and imaging biomarker trajectories in A-T+ vs A-T- groups. Secondary outcomes included cross-sectional tau-PET. Results A total of 7679 individuals (mean [SD] age, 71.0 [8.4] years; 4101 male [53%]) were included in the UGOT cohort, 970 individuals (mean [SD] age, 73 [7.0] years; 526 male [54%]) were included in the ADNI cohort, and 519 individuals (mean [SD] age, 60 [7.3] years; 346 female [67%]) were included in the WISC cohort. The prevalence of an A-T+ profile in the UGOT cohort was 4.1% (95% CI, 3.7%-4.6%), being less common than the other patterns. Longitudinally, no significant differences in rates of worsening were observed between A-T+ and A-T- profiles for cognition or imaging biomarkers. Cross-sectionally, A-T+ had similar tau-PET uptake to individuals with an A-T- biomarker profile. Conclusion and Relevance Results suggest that the CSF A-T+ biomarker profile was found in approximately 5% of lumbar punctures and was not associated with a higher rate of cognitive decline or biomarker signs of disease progression compared with biomarker-negative individuals.
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Affiliation(s)
- Pontus Erickson
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Joel Simrén
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Wagner S. Brum
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Gilda E. Ennis
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | | | | | - Rebecca Langhough
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Erin M. Jonaitis
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Carol A. Van Hulle
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Tobey J. Betthauser
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Cynthia M. Carlsson
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, Wisconsin
| | - Sanjay Asthana
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, Wisconsin
| | - Nicholas J. Ashton
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, King’s College London, London, England
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, England
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Sterling C. Johnson
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Ulf Andreasson
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Barbara B. Bendlin
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Institute of Neurology, Department of Neurodegenerative Disease, University College London, London, England
- UK Dementia Research Institute, University College London, London, England
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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20
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Lu J, Ma X, Zhang H, Xiao Z, Li M, Wu J, Ju Z, Chen L, Zheng L, Ge J, Liang X, Bao W, Wu P, Ding D, Yen TC, Guan Y, Zuo C, Zhao Q. Head-to-head comparison of plasma and PET imaging ATN markers in subjects with cognitive complaints. Transl Neurodegener 2023; 12:34. [PMID: 37381042 PMCID: PMC10308642 DOI: 10.1186/s40035-023-00365-x] [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: 02/19/2023] [Accepted: 06/02/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND Gaining more information about the reciprocal associations between different biomarkers within the ATN (Amyloid/Tau/Neurodegeneration) framework across the Alzheimer's disease (AD) spectrum is clinically relevant. We aimed to conduct a comprehensive head-to-head comparison of plasma and positron emission tomography (PET) ATN biomarkers in subjects with cognitive complaints. METHODS A hospital-based cohort of subjects with cognitive complaints with a concurrent blood draw and ATN PET imaging (18F-florbetapir for A, 18F-Florzolotau for T, and 18F-fluorodeoxyglucose [18F-FDG] for N) was enrolled (n = 137). The β-amyloid (Aβ) status (positive versus negative) and the severity of cognitive impairment served as the main outcome measures for assessing biomarker performances. RESULTS Plasma phosphorylated tau 181 (p-tau181) level was found to be associated with PET imaging of ATN biomarkers in the entire cohort. Plasma p-tau181 level and PET standardized uptake value ratios of AT biomarkers showed a similarly excellent diagnostic performance for distinguishing between Aβ+ and Aβ- subjects. An increased tau burden and glucose hypometabolism were significantly associated with the severity of cognitive impairment in Aβ+ subjects. Additionally, glucose hypometabolism - along with elevated plasma neurofilament light chain level - was related to more severe cognitive impairment in Aβ- subjects. CONCLUSION Plasma p-tau181, as well as 18F-florbetapir and 18F-Florzolotau PET imaging can be considered as interchangeable biomarkers in the assessment of Aβ status in symptomatic stages of AD. 18F-Florzolotau and 18F-FDG PET imaging could serve as biomarkers for the severity of cognitive impairment. Our findings have implications for establishing a roadmap to identifying the most suitable ATN biomarkers for clinical use.
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Affiliation(s)
- Jiaying Lu
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoxi Ma
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Huiwei Zhang
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhenxu Xiao
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ming Li
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jie Wu
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zizhao Ju
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Chen
- Department of Ultrasound, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Zheng
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingjie Ge
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weiqi Bao
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Ping Wu
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
| | - Ding Ding
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | | | - Yihui Guan
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China.
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.
| | - Chuantao Zuo
- Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, Shanghai, China.
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.
- Human Phenome Institute, Fudan University, Shanghai, China.
| | - Qianhua Zhao
- National Clinical Research Center for Aging and Medicine and National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, China.
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
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21
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Telser J, Grossmann K, Wohlwend N, Risch L, Saely CH, Werner P. Phosphorylated tau in Alzheimer's disease. Adv Clin Chem 2023; 116:31-111. [PMID: 37852722 DOI: 10.1016/bs.acc.2023.05.001] [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] [Indexed: 10/20/2023]
Abstract
There is a need for blood biomarkers to detect individuals at different Alzheimer's disease (AD) stages because obtaining cerebrospinal fluid-based biomarkers is invasive and costly. Plasma phosphorylated tau proteins (p-tau) have shown potential as such biomarkers. This systematic review was conducted according to the PRISMA guidelines and aimed to determine whether quantification of plasma tau phosphorylated at threonine 181 (p-tau181), threonine 217 (p-tau217) and threonine 231 (p-tau231) is informative in the diagnosis of AD. All p-tau isoforms increase as a function of Aβ-accumulation and discriminate healthy individuals from those at preclinical AD stages with high accuracy. P-tau231 increases earliest, followed by p-tau181 and p-tau217. In advanced stages, all p-tau isoforms are associated with the clinical classification of AD and increase with disease severity, with the greatest increase seen for p-tau217. This is also reflected by a better correlation of p-tau217 with Aβ scans, whereas both, p-tau217 and p-tau181 correlated equally with tau scans. However, at the very advanced stages, p-tau181 begins to plateau, which may mirror the trajectory of the Aβ pathology and indicate an association with a more intermediate risk of AD. Across the AD continuum, the incremental increase in all biomarkers is associated with structural changes in widespread brain regions and underlying cognitive decline. Furthermore, all isoforms differentiate AD from non-AD neurodegenerative disorders, making them specific for AD. Incorporating p-tau181, p-tau217 and p-tau231 in clinical use requires further studies to examine ideal cut-points and harmonize assays.
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Affiliation(s)
- Julia Telser
- Faculty of Medical Science, Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Laboratory Dr. Risch, Vaduz, Liechtenstein
| | - Kirsten Grossmann
- Faculty of Medical Science, Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Laboratory Dr. Risch, Vaduz, Liechtenstein
| | - Niklas Wohlwend
- Laboratory Dr. Risch, Vaduz, Liechtenstein; Department of Internal Medicine Spital Grabs, Spitalregion Rheintal Werdenberg Sarganserland, Grabs, Switzerland
| | - Lorenz Risch
- Faculty of Medical Science, Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Laboratory Dr. Risch, Vaduz, Liechtenstein; University Institute of Clinical Chemistry, University Hospital and University of Bern, Inselspital, Bern, Switzerland
| | - Christoph H Saely
- Faculty of Medical Science, Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Vorarlberg Institute for Vascular Investigation and Treatment (VIVIT), Feldkirch, Austria
| | - Philipp Werner
- Department of Neurology, State Hospital of Rankweil, Academic Teaching Hospital, Rankweil, Austria.
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22
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Horie K, Li Y, Barthélemy NR, Gordon BA, Hassenstab J, Benzinger TL, Fagan AM, Morris JC, Karch CM, Xiong C, Allegri R, Mendez PC, Ikeuchi T, Kasuga K, Noble J, Farlow M, Chhatwal J, Day GS, Schofield PR, Masters CL, Levin J, Jucker M, Lee JH, Hoon Roh J, Sato C, Sachdev P, Koyama A, Reyderman L, Bateman RJ, McDade E. Change in Cerebrospinal Fluid Tau Microtubule Binding Region Detects Symptom Onset, Cognitive Decline, Tangles, and Atrophy in Dominantly Inherited Alzheimer's Disease. Ann Neurol 2023; 93:1158-1172. [PMID: 36843330 PMCID: PMC10238659 DOI: 10.1002/ana.26620] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/28/2023]
Abstract
OBJECTIVE Identifying cerebrospinal fluid measures of the microtubule binding region of tau (MTBR-tau) species that reflect tau aggregation could provide fluid biomarkers that track Alzheimer's disease related neurofibrillary tau pathological changes. We examined the cerebrospinal fluid (CSF) MTBR-tau species in dominantly inherited Alzheimer's disease (DIAD) mutation carriers to assess the association with Alzheimer's disease (AD) biomarkers and clinical symptoms. METHODS Cross-sectional and longitudinal CSF from 229 DIAD mutation carriers and 130 mutation non-carriers had sequential characterization of N-terminal/mid-domain phosphorylated tau (p-tau) followed by MTBR-tau species and tau positron emission tomography (tau PET), other soluble tau and amyloid biomarkers, comprehensive clinical and cognitive assessments, and brain magnetic resonance imaging of atrophy. RESULTS CSF MTBR-tau species located within the putative "border" region and one species corresponding to the "core" region of aggregates in neurofibrillary tangles (NFTs) increased during the presymptomatic stage and decreased during the symptomatic stage. The "border" MTBR-tau species were associated with amyloid pathology and CSF p-tau; whereas the "core" MTBR-tau species were associated stronger with tau PET and CSF measures of neurodegeneration. The ratio of the border to the core species provided a continuous measure of increasing amounts that tracked clinical progression and NFTs. INTERPRETATION Changes in CSF soluble MTBR-tau species preceded the onset of dementia, tau tangle increase, and atrophy in DIAD. The ratio of 4R-specific MTBR-tau (border) to the NFT (core) MTBR-tau species corresponds to the pathology of NFTs in DIAD and change with disease progression. The dynamics between different MTBR-tau species in the CSF may serve as a marker of tau-related disease progression and target engagement of anti-tau therapeutics. ANN NEUROL 2023;93:1158-1172.
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Affiliation(s)
- Kanta Horie
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Eisai Inc., Nutley, NJ, 07110, USA
- The Tracy Family SILQ Center, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Yan Li
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Nicolas R. Barthélemy
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- The Tracy Family SILQ Center, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Brian A. Gordon
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Tammie. L.S. Benzinger
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Anne M. Fagan
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - John C. Morris
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Celeste M. Karch
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Chengjie Xiong
- Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Ricardo Allegri
- Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina
| | - Patricio Chrem Mendez
- Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina
| | | | | | - James Noble
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, G.H. Sergievsky Center, Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032 USA
| | - Martin Farlow
- Department of Neurology, Indiana University, Indianapolis, IN 46202, USA
| | - Jasmeer Chhatwal
- Massachusetts General Hospital, Harvard Medical School Boston, MA 02114, USA
| | - Gregory S. Day
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, FL 32224, USA
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney, 2031 NSW, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, 2052 NSW, Australia
| | - Colin L. Masters
- The Florey Institute and the University of Melbourne, Parkville, Victoria 3010, Australia
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE) Munich, Marchioninistr 15, D-83177 Munchen, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Neurology, Ludwig-Maximilians Universität München, Marchioninistr 15, 83177 Munich, Germany
| | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE) Tübingen; and Hertie-Institute for Clinical Brain Research, University of Tübingen, D-72076 Tübingen, Germany
| | - Jae-Hong Lee
- Department of Neurology, Asan Medical Center, Seoul 05505, Korea
| | - Jee Hoon Roh
- Departments of Biomedical Sciences, Physiology, and Neurology, Korea University College of Medicine, Seoul 02841, Korea
| | - Chihiro Sato
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- The Tracy Family SILQ Center, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | | | | | | | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- The Tracy Family SILQ Center, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Eric McDade
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
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23
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Aguillon D, Langella S, Chen Y, Sanchez J, Su Y, Vila-Castelar C, Vasquez D, Zetterberg H, Hansson O, Dage JL, Janelidze S, Chen K, Fox-Fuller JT, Aduen P, Martinez JE, Garcia G, Baena A, Guzman C, Johnson K, Sperling RA, Blennow K, Reiman EM, Lopera F, Quiroz YT. Plasma p-tau217 predicts in vivo brain pathology and cognition in autosomal dominant Alzheimer's disease. Alzheimers Dement 2023; 19:2585-2594. [PMID: 36571821 PMCID: PMC10271963 DOI: 10.1002/alz.12906] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Plasma-measured tau phosphorylated at threonine 217 (p-tau217) is a potential non-invasive biomarker of Alzheimer's disease (AD). We investigated whether plasma p-tau217 predicts subsequent cognition and positron emission tomography (PET) markers of pathology in autosomal dominant AD. METHODS We analyzed baseline levels of plasma p-tau217 and its associations with amyloid PET, tau PET, and word list delayed recall measured 7.61 years later in non-demented age- and education-matched presenilin-1 E280A carriers (n = 24) and non-carrier (n = 20) family members. RESULTS Carriers had higher plasma p-tau217 levels than non-carriers. Baseline plasma p-tau217 was associated with subsequent amyloid and tau PET pathology levels and cognitive function. DISCUSSION Our findings suggest that plasma p-tau217 predicts subsequent brain pathological burden and memory performance in presenilin-1 E280A carriers. These results provide support for plasma p-tau217 as a minimally invasive diagnostic and prognostic biomarker for AD, with potential utility in clinical practice and trials. HIGHLIGHTS Non-demented presenilin-1 E280A carriers have higher plasma tau phosphorylated at threonine 217 (p-tau217) than do age-matched non-carriers. Higher baseline p-tau217 is associated with greater future amyloid positron emission tomography (PET) pathology burden. Higher baseline p-tau217 is associated with greater future tau PET pathology burden. Higher baseline p-tau217 is associated with worse future memory performance.
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Affiliation(s)
- David Aguillon
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | | | | | - Justin Sanchez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Yi Su
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
| | | | - Daniel Vasquez
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Oskar Hansson
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Sweden
| | - Jeffrey L. Dage
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Kewei Chen
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
| | - Joshua T. Fox-Fuller
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychological and Brain Sciences, Boston University, Boston, USA
| | - Paula Aduen
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jairo E. Martinez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychological and Brain Sciences, Boston University, Boston, USA
| | - Gloria Garcia
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Ana Baena
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Claudia Guzman
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Keith Johnson
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Reisa A. Sperling
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
| | - Yakeel T. Quiroz
- Grupo de Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellin, Colombia
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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24
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Prajjwal P, Marsool MDM, Inban P, Sharma B, Asharaf S, Aleti S, Gadam S, Al Sakini AS, Hadi DD. Vascular dementia subtypes, pathophysiology, genetics, neuroimaging, biomarkers, and treatment updates along with its association with Alzheimer's dementia and diabetes mellitus. Dis Mon 2023; 69:101557. [PMID: 37031059 DOI: 10.1016/j.disamonth.2023.101557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2023]
Abstract
Dementia is a chronic progressive cognitive decline illness that results in functional impairment. Vascular dementia (VaD), second only to Alzheimer's disease (AD), is one of the most prevalent forms of dementia in the elderly (aged over 65 years), with a varied presentation and unpredictable disease development caused by cerebrovascular or cardiovascular illness. To get a better understanding of the changes occurring in the brain and to drive therapy efforts, new biomarkers for early and precise diagnosis of AD and VaD are required. In this review, Firstly, we describe the subtypes of vascular dementia, their clinical features, pathogenesis, genetics implemented, and their associated neuroimaging and biomarkers, while describing extensively the recent biomarkers discovered in the literature. Secondly, we describe some of the well-documented and other less-defined risk factors and their association and pathophysiology in relation to vascular dementia. Finally, we follow recent updates in the management of vascular dementia along with its association and differentiation from Alzheimer's disease. The aim of this review is to gather the scattered updates and the most recent changes in blood, CSF, and neuroimaging biomarkers related to the multiple subtypes of vascular dementia along with its association with Alzheimer's dementia and diabetes mellitus.
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Affiliation(s)
| | | | - Pugazhendi Inban
- Internal Medicine, Government Medical College, Omandurar, Chennai, India
| | | | - Shahnaz Asharaf
- Internal Medicine, Travancore Medical College, Kollam, Kerala, India
| | - Soumya Aleti
- PGY-2, Internal Medicine, Berkshire Medical Center, Pittsfield, MA, USA
| | - Srikanth Gadam
- Internal Medicine, Postdoctoral Research Fellow, Mayo Clinic, USA
| | | | - Dalia Dhia Hadi
- University of Baghdad, Al-Kindy College of Medicine, Baghdad, Iraq
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25
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Barthélemy NR, Saef B, Li Y, Gordon BA, He Y, Horie K, Stomrud E, Salvadó G, Janelidze S, Sato C, Ovod V, Henson RL, Fagan AM, Benzinger TLS, Xiong C, Morris JC, Hansson O, Bateman RJ, Schindler SE. CSF tau phosphorylation occupancies at T217 and T205 represent improved biomarkers of amyloid and tau pathology in Alzheimer's disease. NATURE AGING 2023; 3:391-401. [PMID: 37117788 PMCID: PMC10154225 DOI: 10.1038/s43587-023-00380-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 02/03/2023] [Indexed: 04/30/2023]
Abstract
Cerebrospinal fluid (CSF) amyloid-β peptide (Aβ)42/Aβ40 and the concentration of tau phosphorylated at site 181 (p-tau181) are well-established biomarkers of Alzheimer's disease (AD). The present study used mass spectrometry to measure concentrations of nine phosphorylated and five nonphosphorylated tau species and phosphorylation occupancies (percentage phosphorylated/nonphosphorylated) at ten sites. In the present study we show that, in 750 individuals with a median age of 71.2 years, CSF pT217/T217 predicted the presence of brain amyloid by positron emission tomography (PET) slightly better than Aβ42/Aβ40 (P = 0.02). Furthermore, for individuals with positive brain amyloid by PET (n = 263), CSF pT217/T217 was more strongly correlated with the amount of amyloid (Spearman's ρ = 0.69) than Aβ42/Aβ40 (ρ = -0.42, P < 0.0001). In two independent cohorts of participants with symptoms of AD dementia (n = 55 and n = 90), CSF pT217/T217 and pT205/T205 were better correlated with tau PET measures than CSF p-tau181 concentration. These findings suggest that CSF pT217/T217 and pT205/T205 represent improved CSF biomarkers of amyloid and tau pathology in AD.
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Affiliation(s)
- Nicolas R Barthélemy
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO, USA.
| | - Benjamin Saef
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Yan Li
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian A Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Yingxin He
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO, USA
| | - Kanta Horie
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO, USA
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Gemma Salvadó
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Chihiro Sato
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO, USA
| | - Vitaliy Ovod
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO, USA
| | - Rachel L Henson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Anne M Fagan
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L S Benzinger
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Chengjie Xiong
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Suzanne E Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
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26
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Therriault J, Vermeiren M, Servaes S, Tissot C, Ashton NJ, Benedet AL, Karikari TK, Lantero-Rodriguez J, Brum WS, Lussier FZ, Bezgin G, Stevenson J, Rahmouni N, Kunach P, Wang YT, Fernandez-Arias J, Socualaya KQ, Macedo AC, Ferrari-Souza JP, Ferreira PCL, Bellaver B, Leffa DT, Zimmer ER, Vitali P, Soucy JP, Triana-Baltzer G, Kolb HC, Pascoal TA, Saha-Chaudhuri P, Gauthier S, Zetterberg H, Blennow K, Rosa-Neto P. Association of Phosphorylated Tau Biomarkers With Amyloid Positron Emission Tomography vs Tau Positron Emission Tomography. JAMA Neurol 2023; 80:188-199. [PMID: 36508198 PMCID: PMC9856704 DOI: 10.1001/jamaneurol.2022.4485] [Citation(s) in RCA: 58] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Importance The recent proliferation of phosphorylated tau (p-tau) biomarkers has raised questions about their preferential association with the hallmark pathologies of Alzheimer disease (AD): amyloid-β plaques and tau neurofibrillary tangles. Objective To determine whether cerebrospinal fluid (CSF) and plasma p-tau biomarkers preferentially reflect cerebral β-amyloidosis or neurofibrillary tangle aggregation measured with positron emission tomography (PET). Design, Setting, and Participants This was a cross-sectional study of 2 observational cohorts: the Translational Biomarkers in Aging and Dementia (TRIAD) study, with data collected between October 2017 and August 2021, and the Alzheimer's Disease Neuroimaging Initiative (ADNI), with data collected between September 2015 and November 2019. TRIAD was a single-center study, and ADNI was a multicenter study. Two independent subsamples were derived from TRIAD. The first TRIAD subsample comprised individuals assessed with CSF p-tau (p-tau181, p-tau217, p-tau231, p-tau235), [18F]AZD4694 amyloid PET, and [18F]MK6240 tau PET. The second TRIAD subsample included individuals assessed with plasma p-tau (p-tau181, p-tau217, p-tau231), [18F]AZD4694 amyloid PET, and [18F]MK6240 tau PET. An independent cohort from ADNI comprised individuals assessed with CSF p-tau181, [18F]florbetapir PET, and [18F]flortaucipir PET. Participants were included based on the availability of p-tau and PET biomarker assessments collected within 9 months of each other. Exclusion criteria were a history of head trauma or magnetic resonance imaging/PET safety contraindications. No participants who met eligibility criteria were excluded. Exposures Amyloid PET, tau PET, and CSF and plasma assessments of p-tau measured with single molecule array (Simoa) assay or enzyme-linked immunosorbent assay. Main Outcomes and Measures Associations between p-tau biomarkers with amyloid PET and tau PET. Results A total of 609 participants (mean [SD] age, 66.9 [13.6] years; 347 female [57%]; 262 male [43%]) were included in the study. For all 4 phosphorylation sites assessed in CSF, p-tau was significantly more closely associated with amyloid-PET values than tau-PET values (p-tau181 difference, 13%; 95% CI, 3%-22%; P = .006; p-tau217 difference, 11%; 95% CI, 3%-20%; P = .003; p-tau231 difference, 15%; 95% CI, 5%-22%; P < .001; p-tau235 difference, 9%; 95% CI, 1%-19%; P = .02) . These results were replicated with plasma p-tau181 (difference, 11%; 95% CI, 1%-22%; P = .02), p-tau217 (difference, 9%; 95% CI, 1%-19%; P = .02), p-tau231 (difference, 13%; 95% CI, 3%-24%; P = .009), and CSF p-tau181 (difference, 9%; 95% CI, 1%-21%; P = .02) in independent cohorts. Conclusions and Relevance Results of this cross-sectional study of 2 observational cohorts suggest that the p-tau abnormality as an early event in AD pathogenesis was associated with amyloid-β accumulation and highlights the need for careful interpretation of p-tau biomarkers in the context of the amyloid/tau/neurodegeneration, or A/T/(N), framework.
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Affiliation(s)
- Joseph Therriault
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Marie Vermeiren
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Erasmus Medical Center, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Stijn Servaes
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Cécile Tissot
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
| | - Nicholas J. Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden,Wallenberg Centre for Molecular Medicine, University of Gothenburg, Gothenburg, Sweden,King’s College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, London, United Kingdom,NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, United Kingdom
| | - Andréa Lessa Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Thomas K. Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden,Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Wagner S. Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden,Department of Pharmacology, Graduate Program in Biological Sciences: Biochemistry and Pharmacology and Therapeutics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Firoza Z. Lussier
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Gleb Bezgin
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
| | - Nesrine Rahmouni
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
| | - Peter Kunach
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Yi-Ting Wang
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Jaime Fernandez-Arias
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Kely Quispialaya Socualaya
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Arthur C. Macedo
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - João Pedro Ferrari-Souza
- Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Pâmela C. L. Ferreira
- Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Bruna Bellaver
- Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Douglas T. Leffa
- Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Eduardo R. Zimmer
- Department of Pharmacology, Graduate Program in Biological Sciences: Biochemistry and Pharmacology and Therapeutics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Paolo Vitali
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Jean-Paul Soucy
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | | | - Hartmuth C. Kolb
- Neuroscience Biomarkers, Janssen Research & Development, La Jolla, California
| | - Tharick A. Pascoal
- Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Serge Gauthier
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, United Kingdom,UK Dementia Research Institute at UCL, London, United Kingdom,Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
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Planche V, Bouteloup V, Pellegrin I, Mangin JF, Dubois B, Ousset PJ, Pasquier F, Blanc F, Paquet C, Hanon O, Bennys K, Ceccaldi M, Annweiler C, Krolak-Salmon P, Godefroy O, Wallon D, Sauvee M, Boutoleau-Bretonnière C, Bourdel-Marchasson I, Jalenques I, Chene G, Dufouil C. Validity and Performance of Blood Biomarkers for Alzheimer Disease to Predict Dementia Risk in a Large Clinic-Based Cohort. Neurology 2023; 100:e473-e484. [PMID: 36261295 PMCID: PMC9931079 DOI: 10.1212/wnl.0000000000201479] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 09/13/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Blood biomarkers for Alzheimer disease (AD) have consistently proven to be associated with CSF or PET biomarkers and effectively discriminate AD from other neurodegenerative diseases. Our aim was to test their utility in clinical practice, from a multicentric unselected prospective cohort where patients presented with a large spectrum of cognitive deficits or complaints. METHODS The MEMENTO cohort enrolled 2,323 outpatients with subjective cognitive complaint (SCC) or mild cognitive impairment (MCI) consulting in 26 French memory clinics. Participants had neuropsychological assessments, MRI, and blood sampling at baseline. CSF sampling and amyloid PET were optional. Baseline blood Aβ42/40 ratio, total tau, p181-tau, and neurofilament light chain (NfL) were measured using a Simoa HD-X analyzer. An expert committee validated incident dementia cases during a 5-year follow-up period. RESULTS Overall, 2,277 individuals had at least 1 baseline blood biomarker available (n = 357 for CSF subsample, n = 649 for PET subsample), among whom 257 were diagnosed with clinical AD/mixed dementia during follow-up. All blood biomarkers but total tau were mildly correlated with their equivalence in the CSF (r = 0.33 to 0.46, p < 0.0001) and were associated with amyloid-PET status (p < 0.0001). Blood p181-tau was the best blood biomarker to identify amyloid-PET positivity (area under the curve = 0.74 [95% CI = 0.69; 0.79]). Higher blood and CSF p181-tau and NfL concentrations were associated with accelerated time to AD dementia onset with similar incidence rates, whereas blood Aβ42/40 was less efficient than CSF Aβ42/40. Blood p181-tau alone was the best blood predictor of 5-year AD/mixed dementia risk (c-index = 0.73 [95% CI = 0.69; 0.77]); its accuracy was higher in patients with clinical dementia rating (CDR) = 0 (c-index = 0.83 [95% CI = 0.69; 0.97]) than in patients with CDR = 0.5 (c-index = 0.70 [95% CI = 0.66; 0.74]). A "clinical" reference model (combining demographics and neuropsychological assessment) predicted AD/mixed dementia risk with a c-index = 0.88 [95% CI = 0.86-0.91] and performance increased to 0.90 [95% CI = 0.88; 0.92] when adding blood p181-tau + Aβ42/40. A "research" reference model (clinical model + apolipoprotein E genotype and AD signature on MRI) had a c-index = 0.91 [95% CI = 0.89-0.93] increasing to 0.92 [95% CI = 0.90; 0.93] when adding blood p181-tau + Aβ42/40. Chronic kidney disease and vascular comorbidities did not affect predictive performances. DISCUSSION In a clinic-based cohort of patients with SCC or MCI, blood biomarkers may be good hallmarks of underlying pathology but add little to 5-year dementia risk prediction models including traditional predictors.
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Affiliation(s)
- Vincent Planche
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand.
| | - Vincent Bouteloup
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Isabelle Pellegrin
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Jean-Francois Mangin
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Bruno Dubois
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Pierre-Jean Ousset
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Florence Pasquier
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Frederic Blanc
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Claire Paquet
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Olivier Hanon
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Karim Bennys
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Mathieu Ceccaldi
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Cédric Annweiler
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Pierre Krolak-Salmon
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Olivier Godefroy
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - David Wallon
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Mathilde Sauvee
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Claire Boutoleau-Bretonnière
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Isabelle Bourdel-Marchasson
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Isabelle Jalenques
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Genevieve Chene
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Carole Dufouil
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
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Biel D, Suárez‐Calvet M, Hager P, Rubinski A, Dewenter A, Steward A, Roemer S, Ewers M, Haass C, Brendel M, Franzmeier N. sTREM2 is associated with amyloid-related p-tau increases and glucose hypermetabolism in Alzheimer's disease. EMBO Mol Med 2023; 15:e16987. [PMID: 36620941 PMCID: PMC9906389 DOI: 10.15252/emmm.202216987] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 01/10/2023] Open
Abstract
Microglial activation occurs early in Alzheimer's disease (AD) and previous studies reported both detrimental and protective effects of microglia on AD progression. Here, we used CSF sTREM2 to investigate disease stage-dependent drivers of microglial activation and to determine downstream consequences on AD progression. We included 402 patients with measures of earliest beta-amyloid (CSF Aβ1-42 ) and late-stage fibrillary Aβ pathology (amyloid-PET centiloid), as well as sTREM2, p-tau181 , and FDG-PET. To determine disease stage, we stratified participants into early Aβ-accumulators (Aβ CSF+/PET-; n = 70) or late Aβ-accumulators (Aβ CSF+/PET+; n = 201) plus 131 controls. In early Aβ-accumulators, higher centiloid was associated with cross-sectional/longitudinal sTREM2 and p-tau181 increases. Further, higher sTREM2 mediated the association between centiloid and cross-sectional/longitudinal p-tau181 increases and higher sTREM2 was associated with FDG-PET hypermetabolism. In late Aβ-accumulators, we found no association between centiloid and sTREM2 but a cross-sectional association between higher sTREM2, higher p-tau181 and glucose hypometabolism. Our findings suggest that a TREM2-related microglial response follows earliest Aβ fibrillization, manifests in inflammatory glucose hypermetabolism and may facilitate subsequent p-tau181 increases in earliest AD.
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Affiliation(s)
- Davina Biel
- Institute for Stroke and Dementia Research (ISD), University HospitalLMU MunichMunichGermany
| | - Marc Suárez‐Calvet
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain,IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain,Servei de NeurologiaHospital del MarBarcelonaSpain,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES)MadridSpain
| | - Paul Hager
- Institute of Radiology and Artificial Intelligence and Informatics in MedicineTU MunichMunichGermany
| | - Anna Rubinski
- Institute for Stroke and Dementia Research (ISD), University HospitalLMU MunichMunichGermany
| | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University HospitalLMU MunichMunichGermany
| | - Anna Steward
- Institute for Stroke and Dementia Research (ISD), University HospitalLMU MunichMunichGermany
| | - Sebastian Roemer
- Institute for Stroke and Dementia Research (ISD), University HospitalLMU MunichMunichGermany,Department of Neurology, University HospitalLMU MunichMunichGermany
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University HospitalLMU MunichMunichGermany,German Center for Neurodegenerative Diseases (DZNE)MunichGermany
| | - Christian Haass
- German Center for Neurodegenerative Diseases (DZNE)MunichGermany,Munich Cluster for Systems Neurology (SyNergy)MunichGermany,Chair of Metabolic Biochemistry, Biomedical Center (BMC), Faculty of MedicineLMU MunichMunichGermany
| | - Matthias Brendel
- German Center for Neurodegenerative Diseases (DZNE)MunichGermany,Munich Cluster for Systems Neurology (SyNergy)MunichGermany,Department of Nuclear Medicine, University HospitalLMU MunichMunichGermany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD), University HospitalLMU MunichMunichGermany,Munich Cluster for Systems Neurology (SyNergy)MunichGermany,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska AcademyUniversity of GothenburgGothenburgGermany
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Chen CD, Ponisio MR, Lang JA, Flores S, Schindler SE, Fagan AM, Morris JC, Benzinger TL. Comparing Tau PET Visual Interpretation with Tau PET Quantification, Cerebrospinal Fluid Biomarkers, and Longitudinal Clinical Assessment. J Alzheimers Dis 2023; 93:765-777. [PMID: 37092225 PMCID: PMC10200228 DOI: 10.3233/jad-230032] [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] [Accepted: 03/14/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND 18F-flortaucipir PET received FDA approval to visualize aggregated neurofibrillary tangles (NFTs) in brains of adult patients with cognitive impairment being evaluated for Alzheimer's disease (AD). However, manufacturer's guidelines for visual interpretation of 18F-flortaucipir PET differ from how 18F-flortaucipir PET has been measured in research settings using standardized uptake value ratios (SUVRs). How visual interpretation relates to 18F-flortaucipir PET SUVR, cerebrospinal fluid (CSF) biomarkers, or longitudinal clinical assessment is not well understood. OBJECTIVE We compare various diagnostic methods in participants enrolled in longitudinal observational studies of aging and memory (n = 189, 23 were cognitively impaired). METHODS Participants had tau PET, Aβ PET, MRI, and clinical and cognitive evaluation within 18 months (n = 189); the majority (n = 144) also underwent lumbar puncture. Two radiologists followed manufacturer's guidelines for 18F-flortaucipir PET visual interpretation. RESULTS Visual interpretation had high agreement with SUVR (98.4%)and moderate agreement with CSF p-tau181 (86.1%). Two participants demonstrated 18F-flortaucipir uptake from meningiomas. Visual interpretation could not predict follow-up clinical assessment in 9.52% of cases. CONCLUSION Visual interpretation was highly consistent with SUVR (discordant participants had hemorrhagic infarcts or occipital-predominant AD NFT deposition) and moderately consistent with CSF p-tau181 (discordant participants had AD pathophysiology not detectable on tau PET). However, close association between AD NFT deposition and clinical onset in group-level studies does not necessarily hold at the individual level, with discrepancies arising from atypical AD, vascular dementia, or frontotemporal dementia. A better understanding of relationships across imaging, CSF biomarkers, and clinical assessment is needed to provide appropriate diagnoses for these individuals.
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Affiliation(s)
- Charles D. Chen
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Maria Rosana Ponisio
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Jordan A. Lang
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Shaney Flores
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Anne M. Fagan
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - John C. Morris
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
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30
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Simrén J, Brum WS, Ashton NJ, Benedet AL, Karikari TK, Kvartsberg H, Sjons E, Lussier FZ, Chamoun M, Stevenson J, Hopewell R, Pallen V, Ye K, Pascoal TA, Zetterberg H, Rosa-Neto P, Blennow K. CSF tau368/total-tau ratio reflects cognitive performance and neocortical tau better compared to p-tau181 and p-tau217 in cognitively impaired individuals. Alzheimers Res Ther 2022; 14:192. [PMID: 36544221 PMCID: PMC9773470 DOI: 10.1186/s13195-022-01142-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Cerebrospinal fluid (CSF) tau biomarkers are reliable diagnostic markers for Alzheimer's disease (AD). However, their strong association with amyloid pathology may limit their reliability as specific markers of tau neurofibrillary tangles. A recent study showed evidence that a ratio of CSF C-terminally truncated tau (tau368, a tangle-enriched tau species), especially in ratio with total tau (t-tau), correlates strongly with tau PET tracer uptake. In this study, we set to evaluate the performance of the tau368/t-tau ratio in capturing tangle pathology, as indexed by a high-affinity tau PET tracer, as well as its association with severity of clinical symptoms. METHODS In total, 125 participants were evaluated cross-sectionally from the Translational Biomarkers of Aging and Dementia (TRIAD) cohort (21 young, 60 cognitively unimpaired [CU] elderly [15 Aβ+], 10 Aβ+ with mild cognitive impairment [MCI], 14 AD dementia patients, and 20 Aβ- individuals with non-AD cognitive disorders). All participants underwent amyloid and tau PET scanning, with [18F]-AZD4694 and [18F]-MK6240, respectively, and had CSF measurements of p-tau181, p-tau217, and t-tau. CSF concentrations of tau368 were quantified in all individuals with an in-house single molecule array assay. RESULTS CSF tau368 concentration was not significantly different across the diagnostic groups, although a modest increase was observed in all groups as compared with healthy young individuals (all P < 0.01). In contrast, the CSF tau368/t-tau ratio was the lowest in AD dementia, being significantly lower than in CU individuals (Aβ-, P < 0.001; Aβ+, P < 0.01), as well as compared to those with non-AD cognitive disorders (P < 0.001). Notably, in individuals with symptomatic AD, tau368/t-tau correlated more strongly with [18F]-MK6240 PET SUVR as compared to the other CSF tau biomarkers, with increasing associations being seen in brain regions associated with more advanced disease (isocortical regions > limbic regions > transentorhinal regions). Importantly, linear regression models indicated that these associations were not confounded by Aβ PET SUVr. CSF tau368/t-tau also tended to continue to become more abnormal with higher tau burden, whereas the other biomarkers plateaued after the limbic stage. Finally, the tau368/t-tau ratio correlated more strongly with cognitive performance in individuals with symptomatic AD as compared to t-tau, p-tau217 and p-tau181. CONCLUSION The tau368/t-tau ratio captures novel aspects of AD pathophysiology and disease severity in comparison to established CSF tau biomarkers, as it is more closely related to tau PET SUVR and cognitive performance in the symptomatic phase of the disease.
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Affiliation(s)
- Joel Simrén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Wagner S Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, London, UK
| | - Andrea L Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Hlin Kvartsberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Emma Sjons
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Firoza Z Lussier
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
- Montreal Neurological Institute, Montreal, QC, Canada
| | - Mira Chamoun
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
- Montreal Neurological Institute, Montreal, QC, Canada
| | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
- Montreal Neurological Institute, Montreal, QC, Canada
| | - Robert Hopewell
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
- Montreal Neurological Institute, Montreal, QC, Canada
| | - Vanessa Pallen
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
- Montreal Neurological Institute, Montreal, QC, Canada
| | - Keqiang Ye
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Tharick A Pascoal
- Department of Neurology and Psychiatry, University of Pittsburgh, Pittsburgh, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurodegenerative Disease, Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
- Montreal Neurological Institute, Montreal, QC, Canada
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
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31
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Lan G, Cai Y, Li A, Liu Z, Ma S, Guo T. Association of Presynaptic Loss with Alzheimer's Disease and Cognitive Decline. Ann Neurol 2022; 92:1001-1015. [PMID: 36056679 DOI: 10.1002/ana.26492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 08/22/2022] [Accepted: 08/24/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Increased presynaptic dysfunction measured by cerebrospinal fluid (CSF) growth-associated protein-43 (GAP43) may be observed in Alzheimer's disease (AD), but how CSF GAP43 increases relate to AD-core pathologies, neurodegeneration, and cognitive decline in AD requires further investigation. METHODS We analyzed 731 older adults with baseline β-amyloid (Aβ) positron emission tomography (PET), CSF GAP43, CSF phosphorylated tau181 (p-Tau181 ), and 18 F-fluorodeoxyglucose PET, and longitudinal residual hippocampal volume and cognitive assessments. Among them, 377 individuals had longitudinal 18 F-fluorodeoxyglucose PET, and 326 individuals had simultaneous longitudinal CSF GAP43, Aβ PET, and CSF p-Tau181 data. We compared baseline and slopes of CSF GAP43 among different stages of AD, as well as their associations with Aβ PET, CSF p-Tau181 , residual hippocampal volume, 18 F-fluorodeoxyglucose PET, and cognition cross-sectionally and longitudinally. RESULTS Regardless of Aβ positivity and clinical diagnosis, CSF p-Tau181 -positive individuals showed higher CSF GAP43 concentrations (p < 0.001) and faster rates of CSF GAP43 increases (p < 0.001) compared with the CSF p-Tau181 -negative individuals. Moreover, higher CSF GAP43 concentrations and faster rates of CSF GAP43 increases were strongly related to CSF p-Tau181 independent of Aβ PET. They were related to more rapid hippocampal atrophy, hypometabolism, and cognitive decline (p < 0.001), and predicted the progression from MCI to dementia (area under the curve for baseline 0.704; area under the curve for slope 0.717) over a median 4 years of follow up. INTERPRETATION Tau aggregations rather than Aβ plaques primarily drive presynaptic dysfunction measured by CSF GAP43, which may lead to sequential neurodegeneration and cognitive impairment in AD or neurodegenerative diseases. ANN NEUROL 2022;92:1001-1015.
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Affiliation(s)
- Guoyu Lan
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China.,Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen, China
| | - Yue Cai
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China.,Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen, China
| | - Anqi Li
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Zhen Liu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Shaohua Ma
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen, China
| | - Tengfei Guo
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China.,Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, China
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32
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Toledo JB, Rashid T, Liu H, Launer L, Shaw LM, Heckbert SR, Weiner M, Seshadri S, Habes M. SPARE-Tau: A flortaucipir machine-learning derived early predictor of cognitive decline. PLoS One 2022; 17:e0276392. [PMID: 36327215 PMCID: PMC9632811 DOI: 10.1371/journal.pone.0276392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/05/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Recently, tau PET tracers have shown strong associations with clinical outcomes in individuals with cognitive impairment and cognitively unremarkable elderly individuals. flortaucipir PET scans to measure tau deposition in multiple brain areas as the disease progresses. This information needs to be summarized to evaluate disease severity and predict disease progression. We, therefore, sought to develop a machine learning-derived index, SPARE-Tau, which successfully detects pathology in the earliest disease stages and accurately predicts progression compared to a priori-based region of interest approaches (ROI). METHODS 587 participants of the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort had flortaucipir scans, structural MRI scans, and an Aβ biomarker test (CSF or florbetapir PET) performed on the same visit. We derived the SPARE-Tau index in a subset of 367 participants. We evaluated associations with clinical measures for CSF p-tau, SPARE-MRI, and flortaucipir PET indices (SPARE-Tau, meta-temporal, and average Braak ROIs). Bootstrapped multivariate adaptive regression splines linear regression analyzed the association between the biomarkers and baseline ADAS-Cog13 scores. Bootstrapped multivariate linear regression models evaluated associations with clinical diagnosis. Cox-hazards and mixed-effects models investigated clinical progression and longitudinal ADAS-Cog13 changes. The Aβ positive cognitively unremarkable participants, not included in the SPARE-Tau training, served as an independent validation group. RESULTS Compared to CSF p-tau, meta-temporal, and averaged Braak tau PET ROIs, SPARE-Tau showed the strongest association with baseline ADAS-cog13 scores and diagnosis. SPARE-Tau also presented the strongest association with clinical progression in cognitively unremarkable participants and longitudinal ADAS-Cog13 changes. Results were confirmed in the Aβ+ cognitively unremarkable hold-out sample participants. CSF p-tau showed the weakest cross-sectional associations and longitudinal prediction. DISCUSSION Flortaucipir indices showed the strongest clinical association among the studied biomarkers (flortaucipir, florbetapir, structural MRI, and CSF p-tau) and were predictive in the preclinical disease stages. Among the flortaucipir indices, the machine-learning derived SPARE-Tau index was the most sensitive clinical progression biomarker. The combination of different biomarker modalities better predicted cognitive performance.
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Affiliation(s)
- Jon B. Toledo
- Department of Neurology, University of Florida College of Medicine, Gainesville, Florida, United States of America
- Department of Neurology Houston Methodist Hospital, Houston, Texas, United States of America
| | - Tanweer Rashid
- Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), San Antonio, Texas, United States of America
| | - Hangfan Liu
- Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), San Antonio, Texas, United States of America
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, United States of America
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Susan R. Heckbert
- Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America
| | - Michael Weiner
- Department of Veterans Affairs Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, California, United States of America
- Department of Radiology, University of California, San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
- Department of Neurology, University of California, San Francisco, California, United States of America
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas, United States of America
| | - Mohamad Habes
- Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), San Antonio, Texas, United States of America
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas, United States of America
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33
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Oeckl P, Anderl-Straub S, Danek A, Diehl-Schmid J, Fassbender K, Fliessbach K, Halbgebauer S, Huppertz HJ, Jahn H, Kassubek J, Kornhuber J, Landwehrmeyer B, Lauer M, Prudlo J, Schneider A, Schroeter ML, Steinacker P, Volk AE, Wagner M, Winkelmann J, Wiltfang J, Ludolph AC, Otto M. Relationship of serum beta-synuclein with blood biomarkers and brain atrophy. Alzheimers Dement 2022; 19:1358-1371. [PMID: 36129098 DOI: 10.1002/alz.12790] [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] [Received: 05/26/2022] [Revised: 07/21/2022] [Accepted: 08/09/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Recent data support beta-synuclein as a blood biomarker to study synaptic degeneration in Alzheimer's disease (AD). METHODS We provide a detailed comparison of serum beta-synuclein immunoprecipitation - mass spectrometry (IP-MS) with the established blood markers phosphorylated tau 181 (p-tau181) (Simoa) and neurofilament light (NfL) (Ella) in the German FTLD consortium cohort (n = 374) and its relation to brain atrophy (magnetic resonance imaging) and cognitive scores. RESULTS Serum beta-synuclein was increased in AD but not in frontotemporal lobar degeneration (FTLD) syndromes. Beta-synuclein correlated with atrophy in temporal brain structures and was associated with cognitive impairment. Serum p-tau181 showed the most specific changes in AD but the lowest correlation with structural alterations. NfL was elevated in all diseases and correlated with frontal and temporal brain atrophy. DISCUSSION Serum beta-synuclein changes differ from those of NfL and p-tau181 and are strongly related to AD, most likely reflecting temporal synaptic degeneration. Beta-synuclein can complement the existing panel of blood markers, thereby providing information on synaptic alterations. HIGHLIGHTS Blood beta-synuclein is increased in Alzheimer's disease (AD) but not in frontotemporal lobar degeneration (FTLD) syndromes. Blood beta-synuclein correlates with temporal brain atrophy in AD. Blood beta-synuclein correlates with cognitive impairment in AD. The pattern of blood beta-synuclein changes in the investigated diseases is different to phosphorylated tau 181 (p-tau181) and neurofilament light (NfL).
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Affiliation(s)
- Patrick Oeckl
- Department of Neurology, Ulm University Hospital, Ulm, Germany.,German Center for Neurodegenerative Diseases (DZNE e.V.), Ulm, Germany
| | | | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians-University Munich, Germany
| | | | | | - Klaus Fliessbach
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn and DZNE Bonn, Bonn, Germany
| | | | | | - Holger Jahn
- Department of Psychiatry, University Hospital Hamburg, Germany
| | - Jan Kassubek
- Department of Neurology, Ulm University Hospital, Ulm, Germany.,German Center for Neurodegenerative Diseases (DZNE e.V.), Ulm, Germany
| | - Johannes Kornhuber
- Department of Psychiatry, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | | | - Martin Lauer
- Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Johannes Prudlo
- Department of Neurology, University of Rostock, and German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Anja Schneider
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn and DZNE Bonn, Bonn, Germany
| | - Matthias L Schroeter
- Clinic for Cognitive Neurology, University Clinic Leipzig, and Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | | | - Alexander E Volk
- Institute for Human Genetics, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Matias Wagner
- Institut für Neurogenomik, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Juliane Winkelmann
- Institut für Neurogenomik, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, and DZNE, Goettingen, Germany
| | - Albert C Ludolph
- Department of Neurology, Ulm University Hospital, Ulm, Germany.,German Center for Neurodegenerative Diseases (DZNE e.V.), Ulm, Germany
| | - Markus Otto
- Department of Neurology, Ulm University Hospital, Ulm, Germany.,Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
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34
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Botella Lucena P, Vanherle S, Lodder C, Gutiérrez de Ravé M, Stancu IC, Lambrichts I, Vangheluwe R, Bruffaerts R, Dewachter I. Blood-based Aβ42 increases in the earliest pre-pathological stage before decreasing with progressive amyloid pathology in preclinical models and human subjects: opening new avenues for prevention. Acta Neuropathol 2022; 144:489-508. [PMID: 35796870 PMCID: PMC9381631 DOI: 10.1007/s00401-022-02458-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 11/27/2022]
Abstract
Blood-based (BB) biomarkers for Aβ and tau can indicate pathological processes in the brain, in the early pathological, even pre-symptomatic stages in Alzheimer’s disease. However, the relation between BB biomarkers and AD-related processes in the brain in the earliest pre-pathology stage before amyloid pathology develops, and their relation with total brain concentrations of Aβ and tau, is poorly understood. This stage presents a critical window for the earliest prevention of AD. Preclinical models with well-defined temporal progression to robust amyloid and tau pathology provide a unique opportunity to study this relation and were used here to study the link between BB biomarkers with AD-related processes in pre- and pathological stages. We performed a cross-sectional study at different ages assessing the link between BB concentrations and AD-related processes in the brain. This was complemented with a longitudinal analysis and with analysis of age-related changes in a small cohort of human subjects. We found that BB-tau concentrations increased in serum, correlating with progressive development of tau pathology and with increasing tau aggregates and p-tau concentrations in brain in TauP301S mice (PS19) developing tauopathy. BB-Aβ42 concentrations in serum decreased between 4.5 and 9 months of age, correlating with the progressive development of robust amyloid pathology in APP/PS1 (5xFAD) mice, in line with previous findings. Most importantly, BB-Aβ42 concentrations significantly increased between 1.5 and 4.5 months, i.e., in the earliest pre-pathological stage, before robust amyloid pathology develops in the brain, indicating biphasic BB-Aβ42 dynamics. Furthermore, increasing BB-Aβ42 in the pre-pathological phase, strongly correlated with increasing Aβ42 concentrations in brain. Our subsequent longitudinal analysis of BB-Aβ42 in 5xFAD mice, confirmed biphasic BB-Aβ42, with an initial increase, before decreasing with progressive robust pathology. Furthermore, in human samples, BB-Aβ42 concentrations were significantly higher in old (> 60 years) compared to young (< 50 years) subjects, as well as to age-matched AD patients, further supporting age-dependent increase of Aβ42 concentrations in the earliest pre-pathological phase, before amyloid pathology. Also BB-Aβ40 concentrations were found to increase in the earliest pre-pathological phase both in preclinical models and human subjects, while subsequent significantly decreasing concentrations in the pathological phase were characteristic for BB-Aβ42. Together our data indicate that BB biomarkers reflect pathological processes in brain of preclinical models with amyloid and tau pathology, both in the pathological and pre-pathological phase. Our data indicate a biphasic pattern of BB-Aβ42 in preclinical models and a human cohort. And most importantly, we here show that BB-Aβ increased and correlated with increasing concentrations of Aβ in the brain, in the earliest pre-pathological stage in a preclinical model. Our data thereby identify a novel critical window for prevention, using BB-Aβ as marker for accumulating Aβ in the brain, in the earliest pre-pathological stage, opening new avenues for personalized early preventive strategies against AD, even before amyloid pathology develops.
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Affiliation(s)
- Pablo Botella Lucena
- Biomedical Research Institute, BIOMED, Hasselt University, 3590, Diepenbeek, Belgium
| | - Sarah Vanherle
- Biomedical Research Institute, BIOMED, Hasselt University, 3590, Diepenbeek, Belgium
| | - Chritica Lodder
- Biomedical Research Institute, BIOMED, Hasselt University, 3590, Diepenbeek, Belgium
| | | | - Ilie-Cosmin Stancu
- Biomedical Research Institute, BIOMED, Hasselt University, 3590, Diepenbeek, Belgium
| | - Ivo Lambrichts
- Biomedical Research Institute, BIOMED, Hasselt University, 3590, Diepenbeek, Belgium
| | - Riet Vangheluwe
- Neurology Department, ZOL Genk General Hospital, Genk, Belgium
| | - Rose Bruffaerts
- Biomedical Research Institute, BIOMED, Hasselt University, 3590, Diepenbeek, Belgium.,Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute (LBI), KU, 3000, Leuven, Belgium.,Department of Neurology, University Hospitals, 3000, Leuven, Belgium.,Computational Neurology, Experimental Neurobiology Unit, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Ilse Dewachter
- Biomedical Research Institute, BIOMED, Hasselt University, 3590, Diepenbeek, Belgium.
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35
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Banote RK, Håkansson S, Zetterberg H, Zelano J. CSF biomarkers in patients with epilepsy in Alzheimer’s disease: a nation-wide study. Brain Commun 2022; 4:fcac210. [PMID: 36043137 PMCID: PMC9419062 DOI: 10.1093/braincomms/fcac210] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/24/2022] [Accepted: 08/15/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Alzheimer’s disease is the most common neurodegenerative dementia. A subset of Alzheimer’s disease patients develop epilepsy. The risk is higher in young-onset Alzheimer’s disease, but pathophysiological mechanisms remain elusive. The purpose of this study was to assess biomarkers reflecting neurodegeneration in Alzheimer’s disease patients with and without epilepsy. By cross-referencing the largest national laboratory database with Swedish National Patient Register, we could identify CSF biomarker results from 17901 Alzheimer’s disease patients, and compare levels of neurofilament light, glial fibrillary acidic protein, total tau, phosphorylated tau and amyloid beta 42 in patients with (n = 851) and without epilepsy. The concentrations of total tau and phosphorylated tau were higher in Alzheimer’s disease patients with epilepsy than Alzheimer’s disease patients without epilepsy and amyloid beta 42 levels were significantly lower in Alzheimer’s disease patients with epilepsy. No differences in the levels of neurofilament light and glial fibrillary acidic protein were observed. Our study suggests that epilepsy is more common in Alzheimer’s disease patients with more pronounced Alzheimer’s pathology, as determined by the CSF biomarkers. Further studies are needed to investigate the biomarker potential of these CSF markers as predictors of epilepsy course or as indicators of epileptogenesis in Alzheimer’s disease.
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Affiliation(s)
- Rakesh Kumar Banote
- Department of Neurology, Sahlgrenska University Hospital , Gothenburg 41345 , Sweden
- Department of Clinical Neuroscience, Sahlgrenska Academy, University of Gothenburg , Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg , Sweden
| | - Samuel Håkansson
- Department of Neurology, Sahlgrenska University Hospital , Gothenburg 41345 , Sweden
- Department of Clinical Neuroscience, Sahlgrenska Academy, University of Gothenburg , Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg , Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg , Mölndal 43180 , Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital , Mölndal 43180 , Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology , Queen Square, London WC1E 6BT , UK
- UK Dementia Research Institute at UCL , London WC1E 6BT , UK
- Hong Kong Center for Neurodegenerative Diseases , Clear Water Bay , Hong Kong , China
| | - Johan Zelano
- Department of Neurology, Sahlgrenska University Hospital , Gothenburg 41345 , Sweden
- Department of Clinical Neuroscience, Sahlgrenska Academy, University of Gothenburg , Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg , Sweden
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36
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Mielke MM, Dage JL, Frank RD, Algeciras-Schimnich A, Knopman DS, Lowe VJ, Bu G, Vemuri P, Graff-Radford J, Jack CR, Petersen RC. Performance of plasma phosphorylated tau 181 and 217 in the community. Nat Med 2022; 28:1398-1405. [PMID: 35618838 PMCID: PMC9329262 DOI: 10.1038/s41591-022-01822-2] [Citation(s) in RCA: 126] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/11/2022] [Indexed: 01/03/2023]
Abstract
Plasma phosphorylated tau 181 (P-tau181) and 217 (P-tau217) are indicators of both amyloid and tau pathology in clinical settings, but their performance in heterogeneous community-based populations is unclear. We examined P-tau181 and P-tau217 (n = 1,329, aged 30-98 years), in the population-based Mayo Clinic Study of Aging. Continuous, unadjusted plasma P-tau181 and P-tau217 predicted abnormal amyloid positron-emission tomography (PET) (area under the receiver operating characteristic curve (AUROC) = 0.81-0.86) and tau PET entorhinal cortex (AUROC > 0.80), but was less predictive of a tau PET temporal region of interest (AUROC < 0.70). Multiple comorbidities were associated with higher plasma P-tau181 and P-tau217 levels; the difference between participants with and without chronic kidney disease (CKD) was similar to the difference between participants with and without elevated brain amyloid. The exclusion of participants with CKD and other comorbidities affected the establishment of a normal reference range and cutpoints. Understanding the effect of comorbidities on P-tau181 and P-tau217 levels is important for their future interpretation in the context of clinical screening, diagnosis or prognosis at the population level.
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Affiliation(s)
- Michelle M. Mielke
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.,Department of Neurology, Mayo Clinic, Rochester, MN, USA.,Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Jeffrey L. Dage
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ryan D. Frank
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | - Val J. Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Guojun Bu
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | | | | | - Ronald C. Petersen
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.,Department of Neurology, Mayo Clinic, Rochester, MN, USA
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37
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Staging of Alzheimer's disease: past, present, and future perspectives. Trends Mol Med 2022; 28:726-741. [PMID: 35717526 DOI: 10.1016/j.molmed.2022.05.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/15/2022] [Accepted: 05/16/2022] [Indexed: 01/01/2023]
Abstract
For many years Alzheimer's disease (AD) was associated with the dementia stage of the disease, the tail end of a pathophysiological process that lasts approximately two decades. Whereas early disease staging assessments focused on progressive deterioration of clinical functioning, brain imaging with positron emission tomography (PET) and cerebrospinal fluid (CSF) biomarker studies highlighted the long preclinical phase of AD in which a cascade of detectable biological abnormalities precede cognitive decline. The recent proliferation of imaging and fluid biomarkers of AD pathophysiology provide an opportunity for the identification of several biological stages in the preclinical phase of AD. We discuss the use of clinical and biomarker information in past, present, and future staging of AD. We highlight potential applications of PET, CSF, and plasma biomarkers for staging AD severity in vivo.
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Wilson H, de Natale ER, Politis M. Concise Review: Recent advances in neuroimaging techniques to assist clinical trials on cell-based therapies in neurodegenerative diseases. Stem Cells 2022; 40:724-735. [PMID: 35671344 DOI: 10.1093/stmcls/sxac039] [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: 11/16/2021] [Accepted: 05/17/2022] [Indexed: 11/14/2022]
Abstract
Neurodegenerative diseases, such as Alzheimer's disease (AD) and Parkinson's disease (PD), are progressive disorders for which a curative therapy is still lacking. Cell-based therapy aims at replacing dysfunctional cellular populations by repairing damaged tissue and by enriching the microenvironment of selective brain areas, and thus constitutes a promising disease-modifying treatment of neurodegenerative diseases. Scientific research has engineered a wide range of human-derived cellular populations to help overcome some of the logistical, safety, and ethical issues associated with this approach. Open-label studies and clinical trials in human participants have employed neuroimaging techniques, such as positron emission tomography (PET) and magnetic resonance imaging (MRI), to assess the success of the transplantation, to evaluate the functional integration of the implanted tissue into the host environment and to understand the pathophysiological changes associated with the therapy. Neuroimaging has constituted an outcome measure of large, randomized clinical trials, and has given answers to clarify the pathophysiology underlying some of the complications linked with this therapy. Novel PET radiotracers and MRI sequences for the staging of neurodegenerative diseases and to study alterations at molecular level significantly expands the translational potential of neuroimaging to assist pre-clinical and clinical research on cell-based therapy in these disorders. This concise review summarizes the current use of neuroimaging in human studies of cell-based replacement therapy and focuses on future application of PET and MRI techniques to evaluate the pathophysiology and treatment efficacy, as well as to aid patient selection and as an outcome measure to improve treatment success.
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Affiliation(s)
- Heather Wilson
- Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK
| | | | - Marios Politis
- Neurodegeneration Imaging Group, University of Exeter Medical School, London, UK
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Gao F, Lv X, Dai L, Wang Q, Wang P, Cheng Z, Xie Q, Ni M, Wu Y, Chai X, Wang W, Li H, Yu F, Cao Y, Tang F, Pan B, Wang G, Deng K, Wang S, Tang Q, Shi J, Shen Y. A combination model of AD biomarkers revealed by machine learning precisely predicts Alzheimer's dementia: China Aging and Neurodegenerative Initiative (CANDI) study. Alzheimers Dement 2022; 19:749-760. [PMID: 35668045 DOI: 10.1002/alz.12700] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 04/02/2022] [Accepted: 04/29/2022] [Indexed: 12/31/2022]
Abstract
INTRODUCTION To test the utility of the "A/T/N" system in the Chinese population, we study core Alzheimer's disease (AD) biomarkers in a newly established Chinese cohort. METHODS A total of 411 participants were selected, including 96 cognitively normal individuals, 94 patients with mild cognitive impairment (MCI) patients, 173 patients with AD, and 48 patients with non-AD dementia. Fluid biomarkers were measured with single molecule array. Amyloid beta (Aβ) deposition was determined by 18 F-Flobetapir positron emission tomography (PET), and brain atrophy was quantified using magnetic resonance imaging (MRI). RESULTS Aβ42/Aβ40 was decreased, whereas levels of phosphorylated tau (p-tau) were increased in cerebrospinal fluid (CSF) and plasma from patients with AD. CSF Aβ42/Aβ40, CSF p-tau, and plasma p-tau showed a high concordance in discriminating between AD and non-AD dementia or elderly controls. A combination of plasma p-tau, apolipoprotein E (APOE) genotype, and MRI measures accurately predicted amyloid PET status. DISCUSSION These results revealed a universal applicability of the "A/T/N" framework in a Chinese population and established an optimal diagnostic model consisting of cost-effective and non-invasive approaches for diagnosing AD.
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Affiliation(s)
- Feng Gao
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Neurodegenerative Disorder Research Center, Anhui Province Key Laboratory of Biomedical Aging Research, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xinyi Lv
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Linbin Dai
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Neurodegenerative Disorder Research Center, Anhui Province Key Laboratory of Biomedical Aging Research, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Qiong Wang
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Neurodegenerative Disorder Research Center, Anhui Province Key Laboratory of Biomedical Aging Research, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Peng Wang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Zhaozhao Cheng
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Qiang Xie
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Ming Ni
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Yan Wu
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xianliang Chai
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Wenjing Wang
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Huaiyu Li
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Feng Yu
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Yuqin Cao
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Fang Tang
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Bo Pan
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Guoping Wang
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Kexue Deng
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Shicun Wang
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Qiqiang Tang
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Jiong Shi
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yong Shen
- Department of Neurology, Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Neurodegenerative Disorder Research Center, Anhui Province Key Laboratory of Biomedical Aging Research, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
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Ossenkoppele R, van der Kant R, Hansson O. Tau biomarkers in Alzheimer's disease: towards implementation in clinical practice and trials. Lancet Neurol 2022; 21:726-734. [DOI: 10.1016/s1474-4422(22)00168-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 03/30/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
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Smirnov DS, Ashton NJ, Blennow K, Zetterberg H, Simrén J, Lantero-Rodriguez J, Karikari TK, Hiniker A, Rissman RA, Salmon DP, Galasko D. Plasma biomarkers for Alzheimer's Disease in relation to neuropathology and cognitive change. Acta Neuropathol 2022; 143:487-503. [PMID: 35195758 PMCID: PMC8960664 DOI: 10.1007/s00401-022-02408-5] [Citation(s) in RCA: 90] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 02/08/2022] [Accepted: 02/09/2022] [Indexed: 12/14/2022]
Abstract
Plasma biomarkers related to amyloid, tau, and neurodegeneration (ATN) show great promise for identifying these pathological features of Alzheimer's Disease (AD) as shown by recent clinical studies and selected autopsy studies. We have evaluated ATN plasma biomarkers in a series of 312 well-characterized longitudinally followed research subjects with plasma available within 5 years or less before autopsy and examined these biomarkers in relation to a spectrum of AD and related pathologies. Plasma Aβ42, Aβ40, total Tau, P-tau181, P-tau231 and neurofilament light (NfL) were measured using Single molecule array (Simoa) assays. Neuropathological findings were assessed using standard research protocols. Comparing plasma biomarkers with pathology diagnoses and ratings, we found that P-tau181 (AUC = 0.856) and P-tau231 (AUC = 0.773) showed the strongest overall sensitivity and specificity for AD neuropathological change (ADNC). Plasma P-tau231 showed increases at earlier ADNC stages than other biomarkers. Plasma Aβ42/40 was decreased in relation to amyloid and AD pathology, with modest diagnostic accuracy (AUC = 0.601). NfL was increased in non-AD cases and in a subset of those with ADNC. Plasma biomarkers did not show changes in Lewy body disease (LBD), hippocampal sclerosis of aging (HS) or limbic-predominant age-related TDP-43 encephalopathy (LATE) unless ADNC was present. Higher levels of P-tau181, 231 and NfL predicted faster cognitive decline, as early as 10 years prior to autopsy, even among people with normal cognition or mild cognitive impairment. These results support plasma P-tau181 and 231 as diagnostic biomarkers related to ADNC that also can help to predict future cognitive decline, even in predementia stages. Although NfL was not consistently increased in plasma in AD and shows increases in several neurological disorders, it had utility to predict cognitive decline. Plasma Aβ42/40 as measured in this study was a relatively weak predictor of amyloid pathology, and different assay methods may be needed to improve on this. Additional plasma biomarkers are needed to detect the presence and impact of LBD and LATE pathology.
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Affiliation(s)
- Denis S Smirnov
- University of California, San Diego and Shiley-Marcos Alzheimer's Disease Research Center, La Jolla, CA, USA
| | - Nicholas J Ashton
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
- Wallenberg Centre for Molecular and Translational Medicine, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Joel Simrén
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Juan Lantero-Rodriguez
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Thomas K Karikari
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Annie Hiniker
- University of California, San Diego and Shiley-Marcos Alzheimer's Disease Research Center, La Jolla, CA, USA
| | - Robert A Rissman
- University of California, San Diego and Shiley-Marcos Alzheimer's Disease Research Center, La Jolla, CA, USA
| | - David P Salmon
- University of California, San Diego and Shiley-Marcos Alzheimer's Disease Research Center, La Jolla, CA, USA
| | - Douglas Galasko
- University of California, San Diego and Shiley-Marcos Alzheimer's Disease Research Center, La Jolla, CA, USA.
- Department of Neurosciences, UC San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0624, USA.
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Giliberto L. Editorial: Degenerative and cognitive diseases. Curr Opin Neurol 2022; 35:208-211. [PMID: 35232933 DOI: 10.1097/wco.0000000000001037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Luca Giliberto
- Litwin-Zucker Center for the Study of Alzheimer's Diseases and Memory Disorders, Feinstein Institutes for Medical Research and Institute for Neurology and Neurosurgery, Northwell Health System, Manhasset, New York, USA
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Oeckl P, Wagemann O, Halbgebauer S, Anderl-Straub S, Nuebling G, Prix C, Loosli SV, Wlasich E, Danek A, Steinacker P, Ludolph AC, Levin J, Otto M. Serum Beta-Synuclein is higher in Down syndrome and precedes rise of pTau181. Ann Neurol 2022; 92:6-10. [PMID: 35340050 DOI: 10.1002/ana.26360] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/01/2022] [Accepted: 03/17/2022] [Indexed: 11/09/2022]
Abstract
This exploratory case-control study investigates the synaptic marker Beta-Synuclein in serum and plasma pTau181 in adults with Down syndrome (DS) with (sDS, n=14) and without (aDS, n=47) clinical symptoms of Alzheimer´s disease (AD) as well as euploid controls (HC, n=23). Beta-Synuclein was higher in aDS and more pronounced in sDS (p<0.0001) whereas pTau181 was only higher in sDS (p<0.0001). Both markers showed good discriminatory power (AUC>0.90) to distinguish symptomatic from asymptomatic AD. The data indicate that synaptic alterations belong to the earliest AD-associated events in DS and highlight the value of serum Beta-Synuclein as a potential early marker of AD. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Patrick Oeckl
- Department of Neurology, Ulm University Hospital, Ulm, Germany.,German Center for Neurodegenerative Diseases (DZNE e.V.), Ulm, Germany
| | - Olivia Wagemann
- Department of Neurology, Ludwig-Maximilians University Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE e.V.), Munich, Germany
| | | | | | - Georg Nuebling
- Department of Neurology, Ludwig-Maximilians University Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE e.V.), Munich, Germany
| | - Catharina Prix
- Department of Neurology, Ludwig-Maximilians University Munich, Munich, Germany
| | - Sandra V Loosli
- Department of Neurology, Ludwig-Maximilians University Munich, Munich, Germany
| | - Elisabeth Wlasich
- Department of Neurology, Ludwig-Maximilians University Munich, Munich, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians University Munich, Munich, Germany
| | | | - Albert C Ludolph
- Department of Neurology, Ulm University Hospital, Ulm, Germany.,German Center for Neurodegenerative Diseases (DZNE e.V.), Ulm, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians University Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE e.V.), Munich, Germany.,Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Markus Otto
- Department of Neurology, Ulm University Hospital, Ulm, Germany.,Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
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Telser J, Risch L, Saely CH, Grossmann K, Werner P. P-tau217 in Alzheimer's Disease. Clin Chim Acta 2022; 531:100-111. [PMID: 35341762 DOI: 10.1016/j.cca.2022.03.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/19/2022] [Accepted: 03/21/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND AIMS The potential of disease-modifying therapies for Alzheimer's disease has greatly stimulated interest in the development of minimally invasive testing for early identification of at-risk individuals. Accordingly, identification of blood-based biomarkers is paramount. The recent discovery of plasma phosphorylated at threonine217 (p-tau217) may provide a turning point in Alzheimer's disease detection. This systematic review aims to evaluate the available evidence on the use of plasma p-tau217 as a marker to predict Alzheimer's disease and to monitor disease progression. MATERIAL AND METHODS This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Study quality was assessed using the QUADAS-2 tool. In total, 676 publications were identified, of which 16 were in accordance with the pre-defined eligibility criteria. RESULTS Current evidence shows that plasma p-tau217 is a sensitive maker of the clinical manifestation and progression of Alzheimer's disease and of pathological changes associated with this condition, including amyloid accumulation, tau burden, brain atrophy and physical degradation. Moreover, given that plasma p-tau217 does not predict such changes in patients with other neurodegenerative disorders, plasma p-tau217 is also specific to Alzheimer's disease. CONCLUSION More large, diverse community studies are needed to harmonize plasma p-tau217 measurements and to determine widely applicable diagnostic cut-off values.
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Affiliation(s)
- Julia Telser
- Faculty of Medical Science, Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Laboratory Dr. Risch, Vaduz, Liechtenstein
| | | | - Christoph H Saely
- Faculty of Medical Science, Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Vorarlberg Institute for Vascular Investigation and Treatment (VIVIT), Feldkirch, Austria.
| | - Kirsten Grossmann
- Faculty of Medical Science, Private University in the Principality of Liechtenstein, Triesen, Liechtenstein; Laboratory Dr. Risch, Vaduz, Liechtenstein
| | - Philipp Werner
- Department of Neurology, State Hospital of Rankweil, Academic Teaching Hospital, Rankweil, Austria
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Tau proteins in blood as biomarkers of Alzheimer's disease and other proteinopathies. J Neural Transm (Vienna) 2022; 129:239-259. [PMID: 35175385 DOI: 10.1007/s00702-022-02471-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 02/02/2022] [Indexed: 12/13/2022]
Abstract
Alzheimer's disease (AD), the most common age-dependent neurodegenerative disorder, is characterized neuropathologically by extracellular Aβ plaques and intracellular tau neurofibrillary tangles. While in AD tau pathology probably follows early alterations in Aβ metabolism, it develops independently in the so-called primary tauopathies, the main form being frontotemporal lobar degeneration with tau pathology. Tau pathology in AD brain is reflected in the cerebrospinal fluid (CSF) by elevated levels of the two AD tau biomarkers total and phosphorylated tau, which are now used for routine diagnostic purposes. On the contrary, no established neurochemical biomarkers exist for tau pathology in primary tauopathies. Thanks to recent technological advances, total and phosphorylated tau can now be quantified also on peripheral blood, and accumulating evidence shows that measurement of plasma phosphorylated tau species (P-tau181, P-tau217, and P-tau231) has high performances in discriminating AD patients from cognitively unimpaired subjects but also from patients with other dementias. Moreover, plasma P-tau levels are associated with tracer uptake on tau- and amyloid-PET as well as with brain atrophy, cognitive measures and longitudinal changes of these parameters. These features, together with the low invasiveness, scalability, and ease of longitudinal sampling, which differentiate plasma P-tau species from their CSF counterparts, make these proteins promising peripheral biomarkers for AD in both research and clinical setting. This review discusses the recent developments in the field of plasma tau proteins as diagnostic, pathophysiological and prognostic biomarkers of Alzheimer's disease; additional findings from the fields of genetic forms of AD and of non-AD proteinopathies are also summarized.
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Petersen RC. Are plasma markers for Alzheimer's disease ready for clinical use? NATURE AGING 2022; 2:94-96. [PMID: 37117758 DOI: 10.1038/s43587-022-00176-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- Ronald C Petersen
- Mayo Clinic Alzheimer's Disease Research Center and Mayo Clinic Study of Aging, Mayo Clinic, Rochester, MN, USA.
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Meyer PF, Ashton NJ, Karikari TK, Strikwerda-Brown C, Köbe T, Gonneaud J, Pichet Binette A, Ozlen H, Yakoub Y, Simrén J, Pannee J, Lantero-Rodriguez J, Labonté A, Baker SL, Schöll M, Vanmechelen E, Breitner JCS, Zetterberg H, Blennow K, Poirier J, Villeneuve S. Plasma p-tau231, p-tau181, PET biomarkers and cognitive change in older adults. Ann Neurol 2022; 91:548-560. [PMID: 35084051 DOI: 10.1002/ana.26308] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To evaluate novel plasma p-tau231, p-tau181 as well as Aβ40 and Aβ42 assays as indicators of tau and Aβ pathologies measured with positron emission tomography (PET), and their association with cognitive change, in cognitively unimpaired older adults. METHODS In a cohort of 244 older adults at risk of AD owing to a family history of AD dementia, we measured single molecule array (Simoa)-based plasma tau biomarkers (p-tau231, p-tau181), Aβ40 and Aβ42 with immunoprecipitation mass spectrometry, and Simoa NfL. A subset of 129 participants underwent amyloid-β (18 F-NAV4694) and tau (18 F-flortaucipir) PET assessments. We investigated plasma biomarker associations with Aβ and tau PET at the global and voxel level and tested plasma biomarker combinations for improved detection of Aβ-PET positivity. We also investigated associations with 8-year cognitive change. RESULTS Plasma p-tau biomarkers correlated with flortaucipir binding in medial temporal, parietal and inferior temporal regions. P-tau231 showed further associations in lateral parietal and occipital cortices. Plasma Aβ42/40 explained more variance in global Aβ-PET binding than Aβ42 alone. P-tau231 also showed strong and widespread associations with cortical Aβ-PET binding. Combining Aβ42/40 with p-tau231 or p-tau181 allowed for good distinction between Aβ-negative and -positive participants (AUC range 0.81-0.86). Individuals with low plasma Aβ42/40 and high p-tau experienced faster cognitive decline. INTERPRETATION Plasma p-tau231 showed more robust associations with PET biomarkers than p-tau181 in pre-symptomatic individuals. The combination of p-tau and Aβ42/40 biomarkers detected early AD pathology and cognitive decline. Such markers could be used as pre-screening tools to reduce the cost of prevention trials. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Pierre-François Meyer
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden.,King's College London, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Cherie Strikwerda-Brown
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Theresa Köbe
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Julie Gonneaud
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Alexa Pichet Binette
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,McGill Centre for Integrative Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Hazal Ozlen
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Yara Yakoub
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Joel Simrén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Josef Pannee
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anne Labonté
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Suzanne L Baker
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Michael Schöll
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden.,Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | | | - John C S Breitner
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,McGill Centre for Integrative Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Judes Poirier
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Sylvia Villeneuve
- Douglas Mental Health University Institute, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,McGill Centre for Integrative Neuroscience, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
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48
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Fowler CJ, Stoops E, Rainey‐Smith SR, Vanmechelen E, Vanbrabant J, Dewit N, Mauroo K, Maruff P, Rowe CC, Fripp J, Li Q, Bourgeat P, Collins SJ, Martins RN, Masters CL, Doecke JD. Plasma p‐tau181/Aβ
1‐42
ratio predicts Aβ‐PET status and correlates with CSF‐p‐tau181/Aβ
1‐42
and future cognitive decline. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2022; 14:e12375. [DOI: 10.1002/dad2.12375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 09/28/2022] [Indexed: 11/26/2022]
Affiliation(s)
| | | | - Stephanie R. Rainey‐Smith
- School of Medical and Health Sciences Centre of Excellence for Alzheimer's Disease Research & Care Edith Cowan University Joondalup Western Australia Australia
| | | | | | | | | | | | - Christopher C. Rowe
- The Florey Institute of Neuroscience and Mental Health Melbourne Victoria Australia
- Austin Health, Molecular Imaging Research and The Florey Department of Neuroscience University of Melbourne Melbourne Victoria Australia
| | - Jurgen Fripp
- Australian E‐Health Research Centre CSIRO Herston Queensland Australia
| | - Qiao‐Xin Li
- The Florey Institute of Neuroscience and Mental Health Melbourne Victoria Australia
| | - Pierrick Bourgeat
- Australian E‐Health Research Centre CSIRO Herston Queensland Australia
| | - Steven J. Collins
- Department of Medicine (RMH) The University of Melbourne Melbourne Victoria Australia
| | - Ralph N. Martins
- School of Medical and Health Sciences Centre of Excellence for Alzheimer's Disease Research & Care Edith Cowan University Joondalup Western Australia Australia
- Department of Biological Sciences Macquarie University North Ryde New South Wales Australia
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental Health Melbourne Victoria Australia
| | - James D. Doecke
- Australian E‐Health Research Centre CSIRO Herston Queensland Australia
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49
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MicroRNA-Target Interaction Regulatory Network in Alzheimer's Disease. J Pers Med 2021; 11:jpm11121275. [PMID: 34945753 PMCID: PMC8708198 DOI: 10.3390/jpm11121275] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/20/2021] [Accepted: 11/26/2021] [Indexed: 12/19/2022] Open
Abstract
Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia; however, early diagnosis of the disease is challenging. Research suggests that biomarkers found in blood, such as microRNAs (miRNA), may be promising for AD diagnostics. Experimental data on miRNA–target interactions (MTI) associated with AD are scattered across databases and publications, thus making the identification of promising miRNA biomarkers for AD difficult. In response to this, a list of experimentally validated AD-associated MTIs was obtained from miRTarBase. Cytoscape was used to create a visual MTI network. STRING software was used for protein–protein interaction analysis and mirPath was used for pathway enrichment analysis. Several targets regulated by multiple miRNAs were identified, including: BACE1, APP, NCSTN, SP1, SIRT1, and PTEN. The miRNA with the highest numbers of interactions in the network were: miR-9, miR-16, miR-34a, miR-106a, miR-107, miR-125b, miR-146, and miR-181c. The analysis revealed seven subnetworks, representing disease modules which have a potential for further biomarker development. The obtained MTI network is not yet complete, and additional studies are needed for the comprehensive understanding of the AD-associated miRNA targetome.
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50
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Ossenkoppele R, Reimand J, Smith R, Leuzy A, Strandberg O, Palmqvist S, Stomrud E, Zetterberg H, Scheltens P, Dage JL, Bouwman F, Blennow K, Mattsson-Carlgren N, Janelidze S, Hansson O. Tau PET correlates with different Alzheimer's disease-related features compared to CSF and plasma p-tau biomarkers. EMBO Mol Med 2021; 13:e14398. [PMID: 34254442 PMCID: PMC8350902 DOI: 10.15252/emmm.202114398] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/15/2021] [Accepted: 06/16/2021] [Indexed: 12/13/2022] Open
Abstract
PET, CSF and plasma biomarkers of tau pathology may be differentially associated with Alzheimer's disease (AD)‐related demographic, cognitive, genetic and neuroimaging markers. We examined 771 participants with normal cognition, mild cognitive impairment or dementia from BioFINDER‐2 (n = 400) and ADNI (n = 371). All had tau‐PET ([18F]RO948 in BioFINDER‐2, [18F]flortaucipir in ADNI) and CSF p‐tau181 biomarkers available. Plasma p‐tau181 and plasma/CSF p‐tau217 were available in BioFINDER‐2 only. Concordance between PET, CSF and plasma tau biomarkers ranged between 66 and 95%. Across the whole group, ridge regression models showed that increased CSF and plasma p‐tau181 and p‐tau217 levels were independently of tau PET associated with higher age, and APOEɛ4‐carriership and Aβ‐positivity, while increased tau‐PET signal in the temporal cortex was associated with worse cognitive performance and reduced cortical thickness. We conclude that biofluid and neuroimaging markers of tau pathology convey partly independent information, with CSF and plasma p‐tau181 and p‐tau217 levels being more tightly linked with early markers of AD (especially Aβ‐pathology), while tau‐PET shows the strongest associations with cognitive and neurodegenerative markers of disease progression.
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Affiliation(s)
- Rik Ossenkoppele
- Clinical Memory Research Unit, Lund University, Lund, Sweden.,Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Juhan Reimand
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Health Technologies, Tallinn University of Technology, Tallinn, Estonia.,Radiology Centre, North Estonia Medical Centre, Tallinn, Estonia
| | - Ruben Smith
- Clinical Memory Research Unit, Lund University, Lund, Sweden.,Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Antoine Leuzy
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Olof Strandberg
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | | | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | | | - Femke Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Lund University, Lund, Sweden.,Department of Neurology, Skåne University Hospital, Lund, Sweden.,Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden
| | | | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
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