101
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Gonneaud J, Baria AT, Pichet Binette A, Gordon BA, Chhatwal JP, Cruchaga C, Jucker M, Levin J, Salloway S, Farlow M, Gauthier S, Benzinger TLS, Morris JC, Bateman RJ, Breitner JCS, Poirier J, Vachon-Presseau E, Villeneuve S. Accelerated functional brain aging in pre-clinical familial Alzheimer's disease. Nat Commun 2021; 12:5346. [PMID: 34504080 PMCID: PMC8429427 DOI: 10.1038/s41467-021-25492-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 08/06/2021] [Indexed: 01/02/2023] Open
Abstract
Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid investigation of the pre-clinical phase of AD. We developed a model that predicts brain age from resting state (rs)-fMRI data, and assessed whether genetic determinants of AD, as well as beta-amyloid (Aβ) pathology, can accelerate brain aging. Using data from 1340 cognitively unimpaired participants between 18-94 years of age from multiple sites, we showed that topological properties of graphs constructed from rs-fMRI can predict chronological age across the lifespan. Application of our predictive model to the context of pre-clinical AD revealed that the pre-symptomatic phase of autosomal dominant AD includes acceleration of functional brain aging. This association was stronger in individuals having significant Aβ pathology.
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Affiliation(s)
- Julie Gonneaud
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
| | - Alex T Baria
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Alexa Pichet Binette
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Brian A Gordon
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Jasmeer P Chhatwal
- Brigham and Women's Hospital-Massachusetts General Hospital, Boston, MA, USA
| | - Carlos Cruchaga
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Mathias Jucker
- Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Johannes Levin
- Ludwig-Maximilians-Universität München, German Center for Neurodegenerative Diseases and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Martin Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Serge Gauthier
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Tammie L S Benzinger
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J Bateman
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C S Breitner
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Judes Poirier
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Etienne Vachon-Presseau
- Department of Anesthesia, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Faculty of Dentistry, McGill University, Montreal, QC, Canada
- Alan Edwards Centre for Research on Pain, McGill University, Montreal, QC, Canada
| | - Sylvia Villeneuve
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
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102
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Winer JR, Morehouse A, Fenton L, Harrison TM, Ayangma L, Reed M, Kumar S, Baker SL, Jagust WJ, Walker MP. Tau and β-Amyloid Burden Predict Actigraphy-Measured and Self-Reported Impairment and Misperception of Human Sleep. J Neurosci 2021; 41:7687-7696. [PMID: 34290080 PMCID: PMC8425979 DOI: 10.1523/jneurosci.0353-21.2021] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 05/23/2021] [Accepted: 06/30/2021] [Indexed: 11/21/2022] Open
Abstract
Alzheimer's disease is associated with poor sleep, but the impact of tau and β-amyloid (Aβ) pathology on sleep remains largely unknown. Here, we test the hypothesis that tau and Aβ predict unique impairments in objective and self-perceived human sleep under real-life, free-living conditions. Eighty-nine male and female cognitively healthy older adults received 18F-FTP-tau and 11C-PIB-Aβ PET imaging, 7 nights of sleep actigraphy and questionnaire measures, and neurocognitive assessment. Tau burden, but not Aβ, was associated with markedly worse objective sleep. In contrast, Aβ and tau were associated with worse self-reported sleep quality. Of clinical relevance, Aβ burden predicted a unique perceptual mismatch between objective and subject sleep evaluation, with individuals underestimating their sleep. The magnitude of this mismatch was further predicted by worse executive function. Thus, early-stage tau and Aβ deposition are linked with distinct phenotypes of real-world sleep impairment, one that includes a cognitive misperception of their own sleep health.SIGNIFICANCE STATEMENT Alzheimer's disease is associated with sleep disruption, often before significant memory decline. Thus, real-life patterns of sleep behavior have the potential to serve as a window into early disease progression. In 89 cognitive healthy older adults, we found that tau burden was associated with worse wristwatch actigraphy-measured sleep quality, and that both tau and β-amyloid were independently predictive of self-reported sleep quality. Furthermore, individuals with greater β-amyloid deposition were more likely to underestimate their sleep quality, and sleep quality underestimation was associated with worse executive function. These data support the role of sleep impairment as a key marker of early Alzheimer's disease, and offer the possibility that actigraphy may be an affordable and scalable tool in quantifying Alzheimer's disease-related behavioral changes.
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Affiliation(s)
- Joseph R Winer
- Center for Human Sleep Science, Department of Psychology, University of California Berkeley, Berkeley, California 94720
| | - Allison Morehouse
- Center for Human Sleep Science, Department of Psychology, University of California Berkeley, Berkeley, California 94720
| | - Laura Fenton
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Theresa M Harrison
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Lylian Ayangma
- Center for Human Sleep Science, Department of Psychology, University of California Berkeley, Berkeley, California 94720
| | - Mark Reed
- Center for Human Sleep Science, Department of Psychology, University of California Berkeley, Berkeley, California 94720
| | - Samika Kumar
- Center for Human Sleep Science, Department of Psychology, University of California Berkeley, Berkeley, California 94720
| | - Suzanne L Baker
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Matthew P Walker
- Center for Human Sleep Science, Department of Psychology, University of California Berkeley, Berkeley, California 94720
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
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103
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Lockhart SN, Schaich CL, Craft S, Sachs BC, Rapp SR, Jung Y, Whitlow CT, Solingapuram Sai KK, Cleveland M, Williams BJ, Burke GL, Bertoni A, Hayden KM, Hughes TM. Associations among vascular risk factors, neuroimaging biomarkers, and cognition: Preliminary analyses from the Multi-Ethnic Study of Atherosclerosis (MESA). Alzheimers Dement 2021; 18:551-560. [PMID: 34482601 PMCID: PMC8897510 DOI: 10.1002/alz.12429] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 06/07/2021] [Accepted: 06/24/2021] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Little is known about how antecedent vascular risk factor (VRF) profiles impact late-life brain health. METHODS We examined baseline VRFs, and cognitive testing and neuroimaging measures (β-amyloid [Aβ] PET, MRI) in a diverse longitudinal cohort (N = 159; 50% African-American, 50% White) from Wake Forest's Multi-Ethnic Study of Atherosclerosis Core. RESULTS African-Americans exhibited greater baseline Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE), Framingham stroke risk profile (FSRP), and atherosclerotic cardiovascular disease risk estimate (ASCVD) scores than Whites. We observed no significant racial differences in Aβ positivity, cortical thickness, or white matter hyperintensity (WMH) volume. Higher baseline VRF scores were associated with lower cortical thickness and greater WMH volume, and FSRP and CAIDE were associated with Aβ. Aβ was cross-sectionally associated with cognition, and all imaging biomarkers were associated with greater 6-year cognitive decline. DISCUSSION Results suggest the convergence of multiple vascular and Alzheimer's processes underlying neurodegeneration and cognitive decline.
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Affiliation(s)
- Samuel N Lockhart
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Christopher L Schaich
- Department of Surgery-Hypertension and Vascular Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Suzanne Craft
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Bonnie C Sachs
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Division of Public Health Sciences, Department of Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Stephen R Rapp
- Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Youngkyoo Jung
- Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,University of California Davis, Davis, California, USA
| | - Christopher T Whitlow
- Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Maryjo Cleveland
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Benjamin J Williams
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Gregory L Burke
- Division of Public Health Sciences, Department of Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Alain Bertoni
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kathleen M Hayden
- Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Division of Public Health Sciences, Department of Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Timothy M Hughes
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Alzheimer's Disease Research Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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104
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Cassady KE, Adams JN, Chen X, Maass A, Harrison TM, Landau S, Baker S, Jagust W. Alzheimer's Pathology Is Associated with Dedifferentiation of Intrinsic Functional Memory Networks in Aging. Cereb Cortex 2021; 31:4781-4793. [PMID: 34037210 PMCID: PMC8408467 DOI: 10.1093/cercor/bhab122] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 11/14/2022] Open
Abstract
In presymptomatic Alzheimer's disease (AD), beta-amyloid plaques (Aβ) and tau tangles accumulate in distinct spatiotemporal patterns within the brain, tracking closely with episodic memory decline. Here, we tested whether age-related changes in the segregation of the brain's intrinsic functional episodic memory networks-anterior-temporal (AT) and posterior-medial (PM) networks-are associated with the accumulation of Aβ, tau, and memory decline using fMRI and PET. We found that AT and PM networks were less segregated in older than that in younger adults and this reduced specialization was associated with more tau and Aβ in the same regions. The effect of network dedifferentiation on memory depended on the amount of Aβ and tau, with low segregation and pathology associated with better performance at baseline and low segregation and high pathology related to worse performance over time. This pattern suggests a compensation phase followed by a degenerative phase in the early, preclinical phase of AD.
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Affiliation(s)
- Kaitlin E Cassady
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Jenna N Adams
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Xi Chen
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Anne Maass
- German Center for Neurodegenerative Disease, Magdeburg 39120, Germany
| | - Theresa M Harrison
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Susan Landau
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Suzanne Baker
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - William Jagust
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
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105
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Integration of Imaging Genomics Data for the Study of Alzheimer's Disease Using Joint-Connectivity-Based Sparse Nonnegative Matrix Factorization. J Mol Neurosci 2021; 72:255-272. [PMID: 34410569 DOI: 10.1007/s12031-021-01888-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 07/06/2021] [Indexed: 10/20/2022]
Abstract
Imaging genetics reveals the connection between microscopic genetics and macroscopic imaging, enabling the identification of disease biomarkers. In this work, we make full use of prior knowledge that has significant reference value for investigating the correlation between the brain and genetics to explore more biologically substantial biomarkers. In this paper, we propose joint-connectivity-based sparse nonnegative matrix factorization (JCB-SNMF). The algorithm simultaneously projects structural magnetic resonance imaging (sMRI), single-nucleotide polymorphism sites (SNPs), and gene expression data onto a common feature space, where heterogeneous variables with large coefficients in the same projection direction form a common module. In addition, the connectivity information for each region of the brain and genetic data are added as prior knowledge to identify regions of interest (ROIs), SNPs, and gene-related risks related to Alzheimer's disease (AD) patients. GraphNet regularization increases the anti-noise performance of the algorithm and the biological interpretability of the results. The simulation results show that compared with other NMF-based algorithms (JNMF, JSNMNMF), JCB-SNMF has better anti-noise performance and can identify and predict biomarkers closely related to AD from significant modules. By constructing a protein-protein interaction (PPI) network, we identified SF3B1, RPS20, and RBM14 as potential biomarkers of AD. We also found some significant SNP-ROI and gene-ROI pairs. Among them, two SNPs rs4472239 and rs11918049 and three genes KLHL8, ZC3H11A, and OSGEPL1 may have effects on the gray matter volume of multiple brain regions. This model provides a new way to further integrate multimodal impact genetic data to identify complex disease association patterns.
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106
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Yao W, Chen H, Sheng X, Zhao H, Xu Y, Bai F. Core-Centered Connection Abnormalities Associated with Pathological Features Mediate the Progress of Cognitive Impairments in Alzheimer's Disease Spectrum Patients. J Alzheimers Dis 2021; 82:1499-1511. [PMID: 34180417 DOI: 10.3233/jad-210481] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Abnormal default mode network (DMN) was associated with the progress of Alzheimer's disease (AD). Rather than treat the DMN as a unitary network, it can be further divided into three subsystems with different functions. OBJECTIVE It remains unclear the interactions of DMN subsystems associated with the progress of cognitive impairments and AD pathological features. METHODS This study has recruited 187 participants, including test data and verification data. Firstly, an imaging analysis approach was utilized to investigate disease-related differences in the interactions of DMN subsystems in test data (n = 149), including 42 cognitively normal subjects, 43 early mild cognitive impairment (EMCI), 32 late mild cognitive impairment (LMCI), and 32 AD patients. Brain-behavior-pathological relationships regarding to the interactions among DMN subsystems were then further examined. Secondly, DMN subsystems abnormalities for classifying AD spectrum population in the independent verification data (n = 38). RESULTS This study found that the impaired cognition relates to disturbances in the interactions between DMN subsystems but preferentially in core subsystem, and the abnormal regulatory processes of core subsystem were significantly associated with the levels of cerebrospinal fluid Aβ and tau in AD-spectrum patients. Meantime, the nonlinear relationship between dysfunctional core subsystem and impaired cognition was observed as one progresses through the stages of MCI to AD. Importantly, this classification presented a higher sensitivity and specificity dependent on the core-centered connection abnormalities. CONCLUSION The abnormal interaction patterns of DMN subsystems at an early stage of AD appeared and presented as core-centered connection abnormalities, which were the potential neuroimaging features for monitoring the development of AD.
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Affiliation(s)
- Weina Yao
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Haifeng Chen
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Xiaoning Sheng
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China
| | - Hui Zhao
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
| | - Feng Bai
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, China.,The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.,Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, China.,Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, China
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107
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Strom A, Iaccarino L, Edwards L, Lesman-Segev OH, Soleimani-Meigooni DN, Pham J, Baker SL, Landau S, Jagust WJ, Miller BL, Rosen HJ, Gorno-Tempini ML, Rabinovici GD, La Joie R. Cortical hypometabolism reflects local atrophy and tau pathology in symptomatic Alzheimer's disease. Brain 2021; 145:713-728. [PMID: 34373896 PMCID: PMC9014741 DOI: 10.1093/brain/awab294] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 07/09/2021] [Accepted: 07/21/2021] [Indexed: 11/14/2022] Open
Abstract
Posterior cortical hypometabolism measured with [18F]-Fluorodeoxyglucose (FDG)-PET is a well-known marker of Alzheimer's disease-related neurodegeneration, but its associations with underlying neuropathological processes are unclear. We assessed cross-sectionally the relative contributions of three potential mechanisms causing hypometabolism in the retrosplenial and inferior parietal cortices: local molecular (amyloid and tau) pathology and atrophy, distant factors including contributions from the degenerating medial temporal lobe or molecular pathology in functionally connected regions, and the presence of the apolipoprotein E (APOE) ε4 allele. Two hundred and thirty-two amyloid-positive cognitively impaired patients from two cohorts (University of California, San Francisco, UCSF, and Alzheimer's Disease Neuroimaging Initiative, ADNI) underwent MRI and PET with FDG, amyloid-PET using [11C]-Pittsburgh Compound B, [18F]-Florbetapir, or [18F]-Florbetaben, and [18F]-Flortaucipir tau-PET within one year. Standard uptake value ratios (SUVR) were calculated using tracer-specific reference regions. Regression analyses were run within cohorts to identify variables associated with retrosplenial or inferior parietal FDG SUVR. On average, ADNI patients were older and were less impaired than UCSF patients. Regional patterns of hypometabolism were similar between cohorts, though there were cohort differences in regional gray matter atrophy. Local cortical thickness and tau-PET (but not amyloid-PET) were independently associated with both retrosplenial and inferior parietal FDG SUVR (ΔR2 = .09 to .21) across cohorts in models that also included age and disease severity (local model). Including medial temporal lobe volume improved the retrosplenial FDG model in ADNI (ΔR2 = .04, p = .008) but not UCSF (ΔR2 < .01, p = .52), and did not improve the inferior parietal models (ΔR2s < .01, ps > .37). Interaction analyses revealed that medial temporal volume was more strongly associated with retrosplenial FDG SUVR at earlier disease stages (p = .06 in UCSF, p = .046 in ADNI). Exploratory analyses across the cortex confirmed overall associations between hypometabolism and local tau pathology and thickness and revealed associations between medial temporal degeneration and hypometabolism in retrosplenial, orbitofrontal, and anterior cingulate cortices. Finally, our data did not support hypotheses of a detrimental effect of pathology in connected regions or of an effect of the APOE ε4 allele in impaired participants. Overall, in two independent groups of patients at symptomatic stages of Alzheimer's disease, cortical hypometabolism mainly reflected structural neurodegeneration and tau, but not amyloid, pathology.
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Affiliation(s)
- Amelia Strom
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Leonardo Iaccarino
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Lauren Edwards
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Orit H Lesman-Segev
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - David N Soleimani-Meigooni
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Julie Pham
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Suzanne L Baker
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Susan Landau
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
| | - William J Jagust
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, 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
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.,Department of Radiology and Biomedical Imaging, 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
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108
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Ni W, Jagust W, Wang D. Multiplex Mass Spectrometry Analysis of Amyloid Proteins in Human Plasma for Alzheimer's Disease Diagnosis. J Proteome Res 2021; 20:4106-4112. [PMID: 34314176 PMCID: PMC8699791 DOI: 10.1021/acs.jproteome.1c00424] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Direct analysis of amyloid proteins in human plasma will promote rapid screening of brain amyloidosis, the earliest pathological signature of Alzheimer's disease. We developed a microflow liquid chromatography-targeted mass spectrometry assay for quantitation of four intact β-amyloid proteins starting from 1 mL of human plasma samples. This method showed 90% accuracy for predicting brain amyloid using plasma Aβ42/Aβ40 values from 36 cognitively normal individuals in a prospective clinical study (raw data deposited in MassIVE, Data set ID MSV000087451). Our method may contribute to early diagnosis of Alzheimer's disease.
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Affiliation(s)
- Weimin Ni
- Newomics Inc., Berkeley, CA 94710, USA
| | - William Jagust
- School of Public Health and Helen Wills Neuroscience Institute, University of California at Berkeley, CA 94710, USA; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley CA 94710, USA
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109
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Milà-Alomà M, Shekari M, Salvadó G, Gispert JD, Arenaza-Urquijo EM, Operto G, Falcon C, Vilor-Tejedor N, Grau-Rivera O, Sala-Vila A, Sánchez-Benavides G, González-de-Echávarri JM, Minguillon C, Fauria K, Niñerola-Baizán A, Perissinotti A, Simon M, Kollmorgen G, Zetterberg H, Blennow K, Suárez-Calvet M, Molinuevo JL. Cognitively unimpaired individuals with a low burden of Aβ pathology have a distinct CSF biomarker profile. ALZHEIMERS RESEARCH & THERAPY 2021; 13:134. [PMID: 34315519 PMCID: PMC8314554 DOI: 10.1186/s13195-021-00863-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 06/20/2021] [Indexed: 12/25/2022]
Abstract
Background Understanding the changes that occur in the transitional stage between absent and overt amyloid-β (Aβ) pathology within the Alzheimer’s continuum is crucial to develop therapeutic and preventive strategies. The objective of this study is to test whether cognitively unimpaired individuals with a low burden of Aβ pathology have a distinct CSF, structural, and functional neuroimaging biomarker profile. Methods Cross-sectional study of 318 middle-aged, cognitively unimpaired individuals from the ALFA+ cohort. We measured CSF Aβ42/40, phosphorylated tau (p-tau), total tau (t-tau), neurofilament light (NfL), neurogranin, sTREM2, YKL40, GFAP, IL6, S100B, and α-synuclein. Participants also underwent cognitive assessments, APOE genotyping, structural MRI, [18F]-FDG, and [18F]-flutemetamol PET. To ensure the robustness of our results, we used three definitions of low burden of Aβ pathology: (1) positive CSF Aβ42/40 and < 30 Centiloids in Aβ PET, (2) positive CSF Aβ42/40 and negative Aβ PET visual read, and (3) 20–40 Centiloid range in Aβ PET. We tested CSF and neuroimaging biomarker differences between the low burden group and the corresponding Aβ-negative group, adjusted by age and sex. Results The prevalence and demographic characteristics of the low burden group differed between the three definitions. CSF p-tau and t-tau were increased in the low burden group compared to the Aβ-negative in all definitions. CSF neurogranin was increased in the low burden group definitions 1 and 3, while CSF NfL was only increased in the low burden group definition 1. None of the defined low burden groups showed signs of atrophy or glucose hypometabolism. Instead, we found slight increases in cortical thickness and metabolism in definition 2. Conclusions There are biologically meaningful Aβ-downstream effects in individuals with a low burden of Aβ pathology, while structural and functional changes are still subtle or absent. These findings support considering individuals with a low burden of Aβ pathology for clinical trials. Trial registration NCT02485730 Supplementary Information The online version contains supplementary material available at 10.1186/s13195-021-00863-y.
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Affiliation(s)
- Marta Milà-Alomà
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain.,Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, Madrid, Spain
| | - Eider M Arenaza-Urquijo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, Madrid, Spain
| | - Natalia Vilor-Tejedor
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain.,Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.,Department of Clinical Genetics, ERASMUS MC, Rotterdam, the Netherlands
| | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.,Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | - Aleix Sala-Vila
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - José Maria González-de-Echávarri
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Karine Fauria
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Aida Niñerola-Baizán
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, Madrid, Spain.,Servei de Medicina Nuclear, Hospital Clínic, Barcelona, Spain
| | - Andrés Perissinotti
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, Madrid, Spain.,Servei de Medicina Nuclear, Hospital Clínic, Barcelona, Spain
| | - Maryline Simon
- Roche Diagnostics International Ltd., Rotkreuz, Switzerland
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, 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
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain. .,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain. .,Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain. .,Servei de Neurologia, Hospital del Mar, Barcelona, Spain.
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, 08005, Barcelona, Spain. .,Present address: H. Lundbeck A/S, Copenhagen, Denmark.
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Grande X, Berron D, Maass A, Bainbridge WA, Düzel E. Content-specific vulnerability of recent episodic memories in Alzheimer's disease. Neuropsychologia 2021; 160:107976. [PMID: 34314781 PMCID: PMC8434425 DOI: 10.1016/j.neuropsychologia.2021.107976] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 11/21/2022]
Abstract
Endel Tulving's episodic memory framework emphasizes the multifaceted re-experiencing of personal events. Indeed, decades of research focused on the experiential nature of episodic memories, usually treating recent episodic memory as a coherent experiential quality. However, recent insights into the functional architecture of the medial temporal lobe show that different types of mnemonic information are segregated into distinct neural pathways in brain circuits empirically associated with episodic memory. Moreover, recent memories do not fade as a whole under conditions of progressive neurodegeneration in these brain circuits, notably in Alzheimer's disease. Instead, certain memory content seem particularly vulnerable from the moment of their encoding while other content can remain memorable consistently across individuals and contexts. We propose that these observations are related to the content-specific functional architecture of the medial temporal lobe and consequently to a content-specific impairment of memory at different stages of the neurodegeneration. To develop Endel Tulving's inspirational legacy further and to advance our understanding of how memory function is affected by neurodegenerative conditions such as Alzheimer's disease, we postulate that it is compelling to focus on the representational content of recent episodic memories. The functional anatomy of episodic memory segregates different memory content. Alzheimer's disease may cause content-specific loss of recent memories Content-specific memorability across individuals changes with Alzheimer's disease. Content-specific assessment could provide new insights into episodic memory in health and disease
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Affiliation(s)
- Xenia Grande
- German Center for Neurodegenerative Diseases, Magdeburg, Germany; Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University Magdeburg, Germany.
| | - David Berron
- German Center for Neurodegenerative Diseases, Magdeburg, Germany; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Anne Maass
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
| | | | - Emrah Düzel
- German Center for Neurodegenerative Diseases, Magdeburg, Germany; Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University Magdeburg, Germany; Institute of Cognitive Neuroscience, University College London, United Kingdom.
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111
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Dubois B, Villain N, Frisoni GB, Rabinovici GD, Sabbagh M, Cappa S, Bejanin A, Bombois S, Epelbaum S, Teichmann M, Habert MO, Nordberg A, Blennow K, Galasko D, Stern Y, Rowe CC, Salloway S, Schneider LS, Cummings JL, Feldman HH. Clinical diagnosis of Alzheimer's disease: recommendations of the International Working Group. Lancet Neurol 2021; 20:484-496. [PMID: 33933186 PMCID: PMC8339877 DOI: 10.1016/s1474-4422(21)00066-1] [Citation(s) in RCA: 403] [Impact Index Per Article: 134.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 01/21/2021] [Accepted: 02/18/2021] [Indexed: 12/13/2022]
Abstract
In 2018, the US National Institute on Aging and the Alzheimer's Association proposed a purely biological definition of Alzheimer's disease that relies on biomarkers. Although the intended use of this framework was for research purposes, it has engendered debate and challenges regarding its use in everyday clinical practice. For instance, cognitively unimpaired individuals can have biomarker evidence of both amyloid β and tau pathology but will often not develop clinical manifestations in their lifetime. Furthermore, a positive Alzheimer's disease pattern of biomarkers can be observed in other brain diseases in which Alzheimer's disease pathology is present as a comorbidity. In this Personal View, the International Working Group presents what we consider to be the current limitations of biomarkers in the diagnosis of Alzheimer's disease and, on the basis of this evidence, we propose recommendations for how biomarkers should and should not be used for diagnosing Alzheimer's disease in a clinical setting. We recommend that Alzheimer's disease diagnosis be restricted to people who have positive biomarkers together with specific Alzheimer's disease phenotypes, whereas biomarker-positive cognitively unimpaired individuals should be considered only at-risk for progression to Alzheimer's disease.
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Affiliation(s)
- Bruno Dubois
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France; Institut du Cerveau, Sorbonne University, Paris, France.
| | - Nicolas Villain
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France; Institut du Cerveau, Sorbonne University, Paris, France
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Memory Clinic, University Hospital of Geneva, Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), Saint John of God Clinical Research Centre, Brescia, Italy
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Marwan Sabbagh
- Cleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Stefano Cappa
- University School for Advanced Studies, Pavia, Italy; RCCS Mondino Foundation, Pavia, Italy
| | - Alexandre Bejanin
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain; Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain; Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Stéphanie Bombois
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France; INSERM, CHU Lille, U1171 - Degenerative and vascular cognitive disorders, University of Lille, Lille, France
| | - Stéphane Epelbaum
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France; Inria ARAMIS project team, Inria-APHP collaboratio, Sorbonne University, Paris, France; Institut du Cerveau, Sorbonne University, Paris, France
| | - Marc Teichmann
- Assistance Publique-Hôpitaux de Paris (AP-HP) Department of Neurology, Sorbonne University, Paris, France
| | - Marie-Odile Habert
- AP-HP Department of Nuclear Medicine, Sorbonne University, Paris, France; CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Sorbonne University, Paris, France; Institut du Cerveau, Sorbonne University, Paris, France
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institute, Stockholm, Sweden; Theme Aging, The Aging Brain, Karolinska University Hospital, Stockholm, Sweden
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, USA
| | - Christopher C Rowe
- Department of Molecular Imaging and Therapy, Austin Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Stephen Salloway
- Department of Neurology and Department of Psychiatry, Alpert Medical School of Brown University, Providence, RI, USA; Butler Hospital, Providence, RI, USA
| | - Lon S Schneider
- Keck School of Medicine of the University of Southern California, Los Angeles, USA
| | - Jeffrey L Cummings
- Cleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, NV, USA; Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Howard H Feldman
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA; Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego, La Jolla, CA, USA; Alzheimer Disease Cooperative Study, University of California San Diego, La Jolla, CA, USA
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112
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Pichet Binette A, Theaud G, Rheault F, Roy M, Collins DL, Levin J, Mori H, Lee JH, Farlow MR, Schofield P, Chhatwal JP, Masters CL, Benzinger T, Morris J, Bateman R, Breitner JC, Poirier J, Gonneaud J, Descoteaux M, Villeneuve S. Bundle-specific associations between white matter microstructure and Aβ and tau pathology in preclinical Alzheimer's disease. eLife 2021; 10:62929. [PMID: 33983116 PMCID: PMC8169107 DOI: 10.7554/elife.62929] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 05/12/2021] [Indexed: 12/12/2022] Open
Abstract
Beta-amyloid (Aβ) and tau proteins, the pathological hallmarks of Alzheimer's disease (AD), are believed to spread through connected regions of the brain. Combining diffusion imaging and positron emission tomography, we investigated associations between white matter microstructure specifically in bundles connecting regions where Aβ or tau accumulates and pathology. We focused on free-water-corrected diffusion measures in the anterior cingulum, posterior cingulum, and uncinate fasciculus in cognitively normal older adults at risk of sporadic AD and presymptomatic mutation carriers of autosomal dominant AD. In Aβ-positive or tau-positive groups, lower tissue fractional anisotropy and higher mean diffusivity related to greater Aβ and tau burden in both cohorts. Associations were found in the posterior cingulum and uncinate fasciculus in preclinical sporadic AD, and in the anterior and posterior cingulum in presymptomatic mutation carriers. These results suggest that microstructural alterations accompany pathological accumulation as early as the preclinical stage of both sporadic and autosomal dominant AD.
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Affiliation(s)
- Alexa Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Canada.,Douglas Mental Health University Institute, Montreal, Canada
| | - Guillaume Theaud
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada
| | - François Rheault
- Electrical Engineering, Vanderbilt University, Nashville, United States
| | - Maggie Roy
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada
| | - D Louis Collins
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Hiroshi Mori
- Department of Clinical Neuroscience, Osaka City University Medical School, Osaka, Japan
| | - Jae Hong Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | | | - Peter Schofield
- Neuroscience Research Australia, Sydney, Australia.,School of Medical Sciences, UNSW Sydney, Sydney, Australia
| | - Jasmeer P Chhatwal
- Harvard Medical School, Massachusetts General Hospital, Boston, United States
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
| | - Tammie Benzinger
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, United States.,Department of Neurology, Washington University School of Medicine, St. Louis, United States
| | - John Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, United States.,Department of Neurology, Washington University School of Medicine, St. Louis, United States
| | - Randall Bateman
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, United States.,Department of Neurology, Washington University School of Medicine, St. Louis, United States
| | - John Cs Breitner
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Canada.,Douglas Mental Health University Institute, Montreal, Canada
| | - Judes Poirier
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Canada.,Douglas Mental Health University Institute, Montreal, Canada
| | - Julie Gonneaud
- Douglas Mental Health University Institute, Montreal, Canada.,Normandie Univ, UNICAEN, INSERM, U1237, Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada
| | - Sylvia Villeneuve
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Canada.,Douglas Mental Health University Institute, Montreal, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
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113
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Elahi FM, Ashimatey SB, Bennett DJ, Walters SM, La Joie R, Jiang X, Wolf A, Cobigo Y, Staffaroni AM, Rosen HJ, Miller BL, Rabinovici GD, Kramer JH, Green AJ, Kashani AH. Retinal imaging demonstrates reduced capillary density in clinically unimpaired APOE ε4 gene carriers. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12181. [PMID: 34013017 PMCID: PMC8111703 DOI: 10.1002/dad2.12181] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 03/02/2021] [Accepted: 03/05/2021] [Indexed: 12/23/2022]
Abstract
INTRODUCTION Apolipoprotein E (APOE) ε4, the strongest non-Mendelian genetic risk factor for Alzheimer's disease (AD), has been shown to affect brain capillaries in mice, with potential implications for AD-related neurodegenerative disease. However, human brain capillaries cannot be directly visualized in vivo. We therefore used retinal imaging to test APOE ε4 effects on human central nervous system capillaries. METHODS We collected retinal optical coherence tomography angiography, cognitive testing, and brain imaging in research participants and built statistical models to test genotype-phenotype associations. RESULTS Our analyses demonstrate lower retinal capillary densities in early disease, in cognitively normal APOE ε4 gene carriers. Furthermore, through regression modeling with a measure of brain perfusion (arterial spin labeling), we provide support for the relevance of these findings to cerebral vasculature. DISCUSSION These results suggest that APOE ε4 affects capillary health in humans and that retinal capillary measures could serve as surrogates for brain capillaries, providing an opportunity to study microangiopathic contributions to neurodegenerative disorders directly in humans.
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Affiliation(s)
- Fanny M. Elahi
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
- San Francisco Veterans Affairs Health Care SystemSan FranciscoCaliforniaUSA
| | - Senyo B. Ashimatey
- Department of OphthalmologyUSC Roski Eye InstituteKeck School of Medicine of the University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Daniel J. Bennett
- Department of NeurologyDivision of Neuroimmunology and Glial BiologyWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Samantha M. Walters
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Renaud La Joie
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Xuejuan Jiang
- Department of OphthalmologyUSC Roski Eye InstituteKeck School of Medicine of the University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Amy Wolf
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Yann Cobigo
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Adam M. Staffaroni
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Howie J. Rosen
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Bruce L. Miller
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Joel H. Kramer
- Department of NeurologyMemory and Aging CenterWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Ari J. Green
- Department of NeurologyDivision of Neuroimmunology and Glial BiologyWeill Institute for NeurosciencesSan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of OphthalmologySan FranciscoUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Amir H. Kashani
- Department of OphthalmologyUSC Roski Eye InstituteKeck School of Medicine of the University of Southern CaliforniaLos AngelesCaliforniaUSA
- USC Ginsberg Institute for Biomedical TherapeuticsLos AngelesCaliforniaUSA
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114
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Wang YJ, Hu H, Yang YX, Zuo CT, Tan L, Yu JT. Regional Amyloid Accumulation and White Matter Integrity in Cognitively Normal Individuals. J Alzheimers Dis 2021; 74:1261-1270. [PMID: 32176644 DOI: 10.3233/jad-191350] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Recent studies have shown that amyloid-β (Aβ) burden influenced white matter (WM) integrity before the onset of dementia. OBJECTIVE To assess whether the effects of Aβ burden on WM integrity in cognitively normal (CN) individuals were regionally specific. METHODS Our cohort consisted of 71 CNs from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database who underwent both AV45 amyloid-PET and diffusion tensor imaging. Standardized uptake value ratio (SUVR) was computed across four bilateral regions of interest (ROIs) corresponding to four stages of in vivo amyloid staging model (Amyloid stages I-IV). Linear regression models were conducted in entire CN group and between APOEɛ4 carriers and non-carriers. RESULTS Our results indicated that higher global Aβ-SUVR was associated with higher mean diffusivity (MD) in the entire CN group (p = 0.023), and with both higher MD (p = 0.015) and lower fractional anisotropy (FA) (p = 0.026) in APOEɛ4 carriers. Subregion analysis showed that higher Amyloid stage I-II Aβ-SUVRs were associated with higher MD (Stage-1: p = 0.030; Stage-2: p = 0.016) in the entire CN group, and with both higher MD (Stage-1: p = 0.004; Stage-2: p = 0.010) and lower FA (Stage-1: p = 0.022; Stage-2: p = 0.014) in APOEɛ4 carriers. No associations were found in APOEɛ4 non-carriers and in Amyloid stage III-IV ROIs. CONCLUSIONS Our results indicated that the effects of Aβ burden on WM integrity in CNs might be regionally specific, particularly in Amyloid stage I-II ROIs, and modulated by APOEɛ4 status.
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Affiliation(s)
- Ya-Juan Wang
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, China
| | - Hao Hu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, China
| | - Yu-Xiang Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chuan-Tao Zuo
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, China.,Department of Neurology, Qingdao Municipal Hospital, Qingdao University, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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115
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Smith GS, Kuwabara H, Nandi A, Gould NF, Nassery N, Savonenko A, Joo JH, Kraut M, Brasic J, Holt DP, Hall AW, Mathews WB, Dannals RF, Avramopoulos D, Workman CI. Molecular imaging of beta-amyloid deposition in late-life depression. Neurobiol Aging 2021; 101:85-93. [PMID: 33592548 PMCID: PMC8730327 DOI: 10.1016/j.neurobiolaging.2021.01.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 12/16/2020] [Accepted: 01/06/2021] [Indexed: 12/11/2022]
Abstract
Late-life depression (LLD) is associated with an increased risk of all-cause dementia and may involve Alzheimer's disease pathology. Twenty-one LLD patients who met the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria for a current major depressive episode and 21 healthy controls underwent clinical and neuropsychological assessments, magnetic resonance imaging to measure gray matter volumes, and high-resolution positron emission tomography to measure beta-amyloid (Aβ) deposition. Clinical and neuropsychological assessments were repeated after 10-12 weeks of Citalopram or Sertraline treatment (LLD patients only). LLD patients did not differ from healthy controls in baseline neuropsychological function, although patients improved in both depressive symptoms and visual-spatial memory during treatment. Greater Aβ in the left parietal cortex was observed in LLD patients compared with controls. Greater Aβ was correlated with greater depressive symptoms and poorer visual-spatial memory, but not with improvement with treatment. The study of LLD patients with prospective measurements of mood and cognitive responses to antidepressant treatment is an opportunity to understand early neurobiological mechanisms underlying the association between depression and subsequent cognitive decline.
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Affiliation(s)
- Gwenn S Smith
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Division of Nuclear Medicine and Molecular Imaging.
| | | | - Ayon Nandi
- Division of Nuclear Medicine and Molecular Imaging
| | - Neda F Gould
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Najilla Nassery
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alena Savonenko
- Department of Pathology (Neuropathology), Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jin Hui Joo
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael Kraut
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - James Brasic
- Division of Nuclear Medicine and Molecular Imaging
| | | | | | | | | | - Dimitrios Avramopoulos
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Clifford I Workman
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Multimodal neuroimaging of sex differences in cognitively impaired patients on the Alzheimer's continuum: greater tau-PET retention in females. Neurobiol Aging 2021; 105:86-98. [PMID: 34049062 DOI: 10.1016/j.neurobiolaging.2021.04.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 04/03/2021] [Accepted: 04/05/2021] [Indexed: 12/23/2022]
Abstract
We assessed sex differences in amyloid- and tau-PET retention in 119 amyloid positive patients with mild cognitive impairment or Alzheimer's disease (AD) dementia. Patients underwent 3T-MRI, 11C-PIB amyloid-PET and 18F-Flortaucipir tau-PET. Linear ordinary least squares regression models tested sex differences in Flortaucipir-PET SUVR in a summary temporal region of interest as well as global PIB-PET. No sex differences were observed in demographics, Clinical Dementia Rating Sum of Boxes (CDR-SoB), Mini-Mental State Exam (MMSE), raw episodic memory scores, or cortical thickness. Females had higher global PIB SUVR (ηp²=.043, p=.025) and temporal Flortaucipir SUVR (ηp²=.070, p=.004), adjusting for age and CDR-SoB. Sex differences in temporal Flortaucipir-PET remained significant when controlling additionally for PIB SUVR and APOE4 status (ηp²=.055, p=.013), or when using partial volume-corrected data. No sex differences were present in areas of known Flortaucipir off-target binding. Overall, females demonstrated greater AD regional tau-PET burden than males despite clinical comparability. Further characterization of sex differences will provide insight into AD pathogenesis and support development of personalized therapeutic strategies.
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Pichet Binette A, Vachon-Presseau É, Morris J, Bateman R, Benzinger T, Collins DL, Poirier J, Breitner JCS, Villeneuve S. Amyloid and Tau Pathology Associations With Personality Traits, Neuropsychiatric Symptoms, and Cognitive Lifestyle in the Preclinical Phases of Sporadic and Autosomal Dominant Alzheimer's Disease. Biol Psychiatry 2021; 89:776-785. [PMID: 32228870 PMCID: PMC7415608 DOI: 10.1016/j.biopsych.2020.01.023] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 01/27/2020] [Accepted: 01/27/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND Major prevention trials for Alzheimer's disease (AD) are now focusing on multidomain lifestyle interventions. However, the exact combination of behavioral factors related to AD pathology remains unclear. In 2 cohorts of cognitively unimpaired individuals at risk of AD, we examined which combinations of personality traits, neuropsychiatric symptoms, and cognitive lifestyle (years of education or lifetime cognitive activity) related to the pathological hallmarks of AD, amyloid-β, and tau deposits. METHODS A total of 115 older adults with a parental or multiple-sibling family history of sporadic AD (PREVENT-AD [PRe-symptomatic EValuation of Experimental or Novel Treatments for AD] cohort) underwent amyloid and tau positron emission tomography and answered several questionnaires related to behavioral attributes. Separately, we studied 117 mutation carriers from the DIAN (Dominant Inherited Alzheimer Network) study group cohort with amyloid positron emission tomography and behavioral data. Using partial least squares analysis, we identified latent variables relating amyloid or tau pathology with combinations of personality traits, neuropsychiatric symptoms, and cognitive lifestyle. RESULTS In PREVENT-AD, lower neuroticism, neuropsychiatric burden, and higher education were associated with less amyloid deposition (p = .014). Lower neuroticism and neuropsychiatric features, along with higher measures of openness and extraversion, were related to less tau deposition (p = .006). In DIAN, lower neuropsychiatric burden and higher education were also associated with less amyloid (p = .005). The combination of these factors accounted for up to 14% of AD pathology. CONCLUSIONS In the preclinical phase of both sporadic and autosomal dominant AD, multiple behavioral features were associated with AD pathology. These results may suggest potential pathways by which multidomain interventions might help delay AD onset or progression.
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Affiliation(s)
- Alexa Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Étienne Vachon-Presseau
- Department of Anesthesia, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Faculty of Dentistry, McGill University, Montreal, Quebec, Canada; Alan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada
| | - John Morris
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, Missouri; Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Randall Bateman
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, Missouri; Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Tammie Benzinger
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, Missouri; Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - D Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Judes Poirier
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - John C S Breitner
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Sylvia Villeneuve
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada.
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Buckley RF. Recent Advances in Imaging of Preclinical, Sporadic, and Autosomal Dominant Alzheimer's Disease. Neurotherapeutics 2021; 18:709-727. [PMID: 33782864 PMCID: PMC8423933 DOI: 10.1007/s13311-021-01026-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2021] [Indexed: 12/25/2022] Open
Abstract
Observing Alzheimer's disease (AD) pathological changes in vivo with neuroimaging provides invaluable opportunities to understand and predict the course of disease. Neuroimaging AD biomarkers also allow for real-time tracking of disease-modifying treatment in clinical trials. With recent neuroimaging advances, along with the burgeoning availability of longitudinal neuroimaging data and big-data harmonization approaches, a more comprehensive evaluation of the disease has shed light on the topographical staging and temporal sequencing of the disease. Multimodal imaging approaches have also promoted the development of data-driven models of AD-associated pathological propagation of tau proteinopathies. Studies of autosomal dominant, early sporadic, and late sporadic courses of the disease have shed unique insights into the AD pathological cascade, particularly with regard to genetic vulnerabilities and the identification of potential drug targets. Further, neuroimaging markers of b-amyloid, tau, and neurodegeneration have provided a powerful tool for validation of novel fluid cerebrospinal and plasma markers. This review highlights some of the latest advances in the field of human neuroimaging in AD across these topics, particularly with respect to positron emission tomography and structural and functional magnetic resonance imaging.
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Affiliation(s)
- Rachel F Buckley
- Department of Neurology, Massachusetts General Hospital & Brigham and Women's, Harvard Medical School, Boston, MA, USA.
- Melbourne School of Psychological Sciences and Florey Institutes, University of Melbourne, Melbourne, VIC, Australia.
- Department of Neurology, Massachusetts General Hospital, 149 13th St, Charlestown, MA, 02129, USA.
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Collij LE, Ingala S, Top H, Wottschel V, Stickney KE, Tomassen J, Konijnenberg E, ten Kate M, Sudre C, Lopes Alves I, Yaqub MM, Wink AM, Van ‘t Ent D, Scheltens P, van Berckel BN, Visser PJ, Barkhof F, Braber AD. White matter microstructure disruption in early stage amyloid pathology. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12124. [PMID: 33816751 PMCID: PMC8015832 DOI: 10.1002/dad2.12124] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 09/17/2020] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Amyloid beta (Aβ) accumulation is the first pathological hallmark of Alzheimer's disease (AD), and it is associated with altered white matter (WM) microstructure. We aimed to investigate this relationship at a regional level in a cognitively unimpaired cohort. METHODS We included 179 individuals from the European Medical Information Framework for AD (EMIF-AD) preclinAD study, who underwent diffusion magnetic resonance (MR) to determine tract-level fractional anisotropy (FA); mean, radial, and axial diffusivity (MD/RD/AxD); and dynamic [18F]flutemetamol) positron emission tomography (PET) imaging to assess amyloid burden. RESULTS Regression analyses showed a non-linear relationship between regional amyloid burden and WM microstructure. Low amyloid burden was associated with increased FA and decreased MD/RD/AxD, followed by decreased FA and increased MD/RD/AxD upon higher amyloid burden. The strongest association was observed between amyloid burden in the precuneus and body of the corpus callosum (CC) FA and diffusivity (MD/RD) measures. In addition, amyloid burden in the anterior cingulate cortex strongly related to AxD and RD measures in the genu CC. DISCUSSION Early amyloid deposition is associated with changes in WM microstructure. The non-linear relationship might reflect multiple stages of axonal damage.
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Affiliation(s)
- Lyduine E. Collij
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Silvia Ingala
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Herwin Top
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Viktor Wottschel
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | | | - Jori Tomassen
- Alzheimer CenterAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | | | - Mara ten Kate
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Carole Sudre
- Alzheimer CenterAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
- Institute of Neurology and Healthcare EngineeringUniversity College LondonLondonUK
| | - Isadora Lopes Alves
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Maqsood M. Yaqub
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Alle Meije Wink
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Dennis Van ‘t Ent
- Dept. of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands
| | - Philip Scheltens
- Alzheimer CenterAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Bart N.M. van Berckel
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Pieter Jelle Visser
- Alzheimer CenterAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
- Department of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNS), Alzheimer Centrum LimburgMaastricht UniversityMaastrichtThe Netherlands
- Department of NeurobiologyCare Sciences Division of NeurogeriatricsKarolinska InstitutetStockholmSweden
| | - Frederik Barkhof
- Dept. of Radiology and Nuclear MedicineAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
- Institute of Neurology and Healthcare EngineeringUniversity College LondonLondonUK
| | - Anouk Den Braber
- Dept. of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands
- Alzheimer CenterAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
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120
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Schwarz CG. Uses of Human MR and PET Imaging in Research of Neurodegenerative Brain Diseases. Neurotherapeutics 2021; 18:661-672. [PMID: 33723751 PMCID: PMC8423895 DOI: 10.1007/s13311-021-01030-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2021] [Indexed: 01/18/2023] Open
Abstract
In the past decades, many neuroimaging studies have aimed to improve the scientific understanding of human neurodegenerative diseases using MRI and PET. This article is designed to provide an overview of the major classes of brain imaging and how/why they are used in this line of research. It is intended as a primer for individuals who are relatively unfamiliar with the methods of neuroimaging research to gain a better understanding of the vocabulary and overall methodologies. It is not intended to describe or review any research findings for any disease or biology, but rather to broadly describe the imaging methodologies that are used in conducting this neurodegeneration research. We will also review challenges and strategies for analyzing neuroimaging data across multiple sites and studies, i.e., harmonization and standardization of imaging data for multi-site and meta-analyses.
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Bullich S, Roé-Vellvé N, Marquié M, Landau SM, Barthel H, Villemagne VL, Sanabria Á, Tartari JP, Sotolongo-Grau O, Doré V, Koglin N, Müller A, Perrotin A, Jovalekic A, De Santi S, Tárraga L, Stephens AW, Rowe CC, Sabri O, Seibyl JP, Boada M. Early detection of amyloid load using 18F-florbetaben PET. ALZHEIMERS RESEARCH & THERAPY 2021; 13:67. [PMID: 33773598 PMCID: PMC8005243 DOI: 10.1186/s13195-021-00807-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 03/10/2021] [Indexed: 03/26/2023]
Abstract
BACKGROUND A low amount and extent of Aβ deposition at early stages of Alzheimer's disease (AD) may limit the use of previously developed pathology-proven composite SUVR cutoffs. This study aims to characterize the population with earliest abnormal Aβ accumulation using 18F-florbetaben PET. Quantitative thresholds for the early (SUVRearly) and established (SUVRestab) Aβ deposition were developed, and the topography of early Aβ deposition was assessed. Subsequently, Aβ accumulation over time, progression from mild cognitive impairment (MCI) to AD dementia, and tau deposition were assessed in subjects with early and established Aβ deposition. METHODS The study population consisted of 686 subjects (n = 287 (cognitively normal healthy controls), n = 166 (subjects with subjective cognitive decline (SCD)), n = 129 (subjects with MCI), and n = 101 (subjects with AD dementia)). Three categories in the Aβ-deposition continuum were defined based on the developed SUVR cutoffs: Aβ-negative subjects, subjects with early Aβ deposition ("gray zone"), and subjects with established Aβ pathology. RESULTS SUVR using the whole cerebellum as the reference region and centiloid (CL) cutoffs for early and established amyloid pathology were 1.10 (13.5 CL) and 1.24 (35.7 CL), respectively. Cingulate cortices and precuneus, frontal, and inferior lateral temporal cortices were the regions showing the initial pathological tracer retention. Subjects in the "gray zone" or with established Aβ pathology accumulated more amyloid over time than Aβ-negative subjects. After a 4-year clinical follow-up, none of the Aβ-negative or the gray zone subjects progressed to AD dementia while 91% of the MCI subjects with established Aβ pathology progressed. Tau deposition was infrequent in those subjects without established Aβ pathology. CONCLUSIONS This study supports the utility of using two cutoffs for amyloid PET abnormality defining a "gray zone": a lower cutoff of 13.5 CL indicating emerging Aβ pathology and a higher cutoff of 35.7 CL where amyloid burden levels correspond to established neuropathology findings. These cutoffs define a subset of subjects characterized by pre-AD dementia levels of amyloid burden that precede other biomarkers such as tau deposition or clinical symptoms and accelerated amyloid accumulation. The determination of different amyloid loads, particularly low amyloid levels, is useful in determining who will eventually progress to dementia. Quantitation of amyloid provides a sensitive measure in these low-load cases and may help to identify a group of subjects most likely to benefit from intervention. TRIAL REGISTRATION Data used in this manuscript belong to clinical trials registered in ClinicalTrials.gov ( NCT00928304 , NCT00750282 , NCT01138111 , NCT02854033 ) and EudraCT (2014-000798-38).
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Affiliation(s)
- Santiago Bullich
- Life Molecular Imaging GmbH, Tegeler Str. 6-7, 13353, Berlin, Germany.
| | - Núria Roé-Vellvé
- Life Molecular Imaging GmbH, Tegeler Str. 6-7, 13353, Berlin, Germany
| | - Marta Marquié
- Fundació ACE Institut Català de Neurociències Aplicades, Research Center and Memory Unit - Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Susan M Landau
- Helen Wills Neuroscience Institute, University of California, Berkeley and Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Henryk Barthel
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | - Victor L Villemagne
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.,Departments of Medicine and Molecular Imaging, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
| | - Ángela Sanabria
- Fundació ACE Institut Català de Neurociències Aplicades, Research Center and Memory Unit - Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Juan Pablo Tartari
- Fundació ACE Institut Català de Neurociències Aplicades, Research Center and Memory Unit - Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Oscar Sotolongo-Grau
- Fundació ACE Institut Català de Neurociències Aplicades, Research Center and Memory Unit - Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Vincent Doré
- Departments of Medicine and Molecular Imaging, University of Melbourne, Austin Health, Melbourne, Victoria, Australia.,The Australian e-Health Research Centre, Health and Biosecurity, CSIRO, Melbourne, Victoria, Australia
| | - Norman Koglin
- Life Molecular Imaging GmbH, Tegeler Str. 6-7, 13353, Berlin, Germany
| | - Andre Müller
- Life Molecular Imaging GmbH, Tegeler Str. 6-7, 13353, Berlin, Germany
| | - Audrey Perrotin
- Life Molecular Imaging GmbH, Tegeler Str. 6-7, 13353, Berlin, Germany
| | | | | | - Lluís Tárraga
- Fundació ACE Institut Català de Neurociències Aplicades, Research Center and Memory Unit - Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Andrew W Stephens
- Life Molecular Imaging GmbH, Tegeler Str. 6-7, 13353, Berlin, Germany
| | - Christopher C Rowe
- Departments of Medicine and Molecular Imaging, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
| | - Osama Sabri
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany
| | | | - Mercè Boada
- Fundació ACE Institut Català de Neurociències Aplicades, Research Center and Memory Unit - Universitat Internacional de Catalunya (UIC), Barcelona, Spain.,Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
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Reduced Repetition Suppression in Aging is Driven by Tau-Related Hyperactivity in Medial Temporal Lobe. J Neurosci 2021; 41:3917-3931. [PMID: 33731446 DOI: 10.1523/jneurosci.2504-20.2021] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 03/02/2021] [Accepted: 03/05/2021] [Indexed: 11/21/2022] Open
Abstract
Tau deposition begins in the medial temporal lobe (MTL) in aging and Alzheimer's disease (AD), and MTL neural dysfunction is commonly observed in these groups. However, the association between tau and MTL neural activity has not been fully characterized. We investigated the effects of tau on repetition suppression, the reduction of activity for repeated stimulus presentations compared to novel stimuli. We used task-based functional MRI (fMRI) to assess MTL subregional activity in 21 young adults (YA) and 45 cognitively normal human older adults (OA; total sample: 37 females, 29 males). AD pathology was measured with position emission tomography (PET), using 18F-Flortaucipir for tau and 11C-Pittsburgh compound B (PiB) for amyloid-β (Aβ). The MTL was segmented into six subregions using high-resolution structural images. We compared the effects of low tau pathology, restricted to entorhinal cortex and hippocampus (Tau- OA), to high tau pathology, also occurring in temporal and limbic regions (Tau+ OA). Low levels of tau (Tau- OA vs YA) were associated with reduced repetition suppression activity specifically in anterolateral entorhinal cortex (alEC) and hippocampus, the first regions to accumulate tau. High tau pathology (Tau+ vs Tau- OA) was associated with widespread reductions in repetition suppression across MTL. Further analyses indicated that reduced repetition suppression was driven by hyperactivity to repeated stimuli, rather than decreased activity to novel stimuli. Increased activation was associated with entorhinal tau, but not Aβ. These findings reveal a link between tau deposition and neural dysfunction in MTL, in which tau-related hyperactivity prevents deactivation to repeated stimuli, leading to reduced repetition suppression.SIGNIFICANCE STATEMENT Abnormal neural activity occurs in the medial temporal lobe (MTL) in aging and Alzheimer's disease (AD). Because tau pathology first deposits in the MTL in aging, this altered activity may be due to local tau pathology, and distinct MTL subregions may be differentially vulnerable. We demonstrate that in older adults (OAs) with low tau pathology, there are focal alterations in activity in MTL subregions that first develop tau pathology, while OAs with high tau pathology have aberrant activity throughout MTL. Tau was associated with hyperactivity to repeated stimulus presentations, leading to reduced repetition suppression, the discrimination between novel and repeated stimuli. Our data suggest that tau deposition is related to abnormal activity in MTL before the onset of cognitive decline.
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Kolinger GD, Vállez García D, Willemsen ATM, Reesink FE, de Jong BM, Dierckx RAJO, De Deyn PP, Boellaard R. Amyloid burden quantification depends on PET and MR image processing methodology. PLoS One 2021; 16:e0248122. [PMID: 33667281 PMCID: PMC7935288 DOI: 10.1371/journal.pone.0248122] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 02/19/2021] [Indexed: 11/19/2022] Open
Abstract
Quantification of amyloid load with positron emission tomography can be useful to assess Alzheimer's Disease in-vivo. However, quantification can be affected by the image processing methodology applied. This study's goal was to address how amyloid quantification is influenced by different semi-automatic image processing pipelines. Images were analysed in their Native Space and Standard Space; non-rigid spatial transformation methods based on maximum a posteriori approaches and tissue probability maps (TPM) for regularisation were explored. Furthermore, grey matter tissue segmentations were defined before and after spatial normalisation, and also using a population-based template. Five quantification metrics were analysed: two intensity-based, two volumetric-based, and one multi-parametric feature. Intensity-related metrics were not substantially affected by spatial normalisation and did not significantly depend on the grey matter segmentation method, with an impact similar to that expected from test-retest studies (≤10%). Yet, volumetric and multi-parametric features were sensitive to the image processing methodology, with an overall variability up to 45%. Therefore, the analysis should be carried out in Native Space avoiding non-rigid spatial transformations. For analyses in Standard Space, spatial normalisation regularised by TPM is preferred. Volumetric-based measurements should be done in Native Space, while intensity-based metrics are more robust against differences in image processing pipelines.
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Affiliation(s)
- Guilherme D. Kolinger
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - David Vállez García
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Antoon T. M. Willemsen
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Fransje E. Reesink
- Department of Neurology, Alzheimer Research Centre, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bauke M. de Jong
- Department of Neurology, Alzheimer Research Centre, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rudi A. J. O. Dierckx
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Peter P. De Deyn
- Department of Neurology, Alzheimer Research Centre, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Laboratory of Neurochemistry and Behaviour, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Ronald Boellaard
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, VU Medical Center, Amsterdam, The Netherlands
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Schoemaker D, Charidimou A, Zanon Zotin MC, Raposo N, Johnson KA, Sanchez JS, Greenberg SM, Viswanathan A. Association of Memory Impairment With Concomitant Tau Pathology in Patients With Cerebral Amyloid Angiopathy. Neurology 2021; 96:e1975-e1986. [PMID: 33627498 DOI: 10.1212/wnl.0000000000011745] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 01/13/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Relying on tau-PET imaging, this cross-sectional study explored whether memory impairment is linked to the presence of concomitant tau pathology in individuals with cerebral amyloid angiopathy (CAA). METHODS Forty-six patients with probable CAA underwent a neuropsychological examination and an MRI for quantification of structural markers of cerebral small vessel disease. A subset of these participants also completed a [11C]-Pittsburgh compound B (n = 39) and [18F]-flortaucipir (n = 40) PET for in vivo estimation of amyloid and tau burden, respectively. Participants were classified as amnestic or nonamnestic on the basis of neuropsychological performance. Statistical analyses were performed to examine differences in cognition, structural markers of cerebral small vessel disease, and amyloid- and tau-PET retention between participants with amnestic and those with nonamnestic CAA. RESULTS Patients with probable CAA with an amnestic presentation displayed a globally more severe profile of cognitive impairment, smaller hippocampal volume (p < 0.001), and increased tau-PET binding in regions susceptible to Alzheimer disease neurodegeneration (p = 0.003) compared to their nonamnestic counterparts. Amnestic and nonamnestic patients with CAA did not differ on any other MRI markers or on amyloid-PET binding. In a generalized linear model including all evaluated neuroimaging markers, tau-PET retention (β = -0.85, p = 0.001) and hippocampal volume (β = 0.64 p = 0.01) were the only significant predictors of memory performance. The cognitive profile of patients with CAA with an elevated tau-PET retention was distinctly characterized by a significantly lower performance on the memory domain (p = 0.004). CONCLUSIONS These results suggest that the presence of objective memory impairment in patients with probable CAA could serve as a marker for underlying tau pathology. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that tau-PET retention is related to the presence of objective memory impairment in patients with CAA.
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Affiliation(s)
- Dorothee Schoemaker
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston.
| | - Andreas Charidimou
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Maria Clara Zanon Zotin
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Nicolas Raposo
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Keith A Johnson
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Justin S Sanchez
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Steven M Greenberg
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
| | - Anand Viswanathan
- From the Departments of Psychiatry (D.S.), Neurology (A.C., M.C.Z.Z., K.A.J., J.S.S., S.M.G., A.V.), and Radiology (K.A.J., J.S.S.), Massachusetts General Hospital, Harvard Medical School, Boston; and Department of Neurology (N.R.), Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse (University Hospital Centre), France. M.C.Z.Z. is currently at the Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirao Preto Medical School, University of Sao Paulo, Brazil; N.R. is at Toulouse Neuroimaging Center, Université de Toulouse, INSERM, UPS, France; and K.A.J. is at the Department of Neurology, Brigham and Women's Hospital, Boston
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Liu AJ, Staffaroni AM, Rojas-Martinez JC, Olney NT, Alquezar-Burillo C, Ljubenkov PA, La Joie R, Fong JC, Taylor J, Karydas A, Ramos EM, Coppola G, Boxer AL, Rabinovici GD, Miller BL, Kao AW. Association of Cognitive and Behavioral Features Between Adults With Tuberous Sclerosis and Frontotemporal Dementia. JAMA Neurol 2021; 77:358-366. [PMID: 31860018 DOI: 10.1001/jamaneurol.2019.4284] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Importance Individuals with tuberous sclerosis complex can develop a progressive neuropsychiatric syndrome known as tuberous sclerosis-associated neuropsychiatric disorders. Tuberous sclerosis-associated neuropsychiatric disorders symptoms overlap with clinical criteria for frontotemporal dementia, yet the association between the 2 has not been explored. Objective To investigate the potential association between tuberous sclerosis-associated neuropsychiatric disorders and frontotemporal dementia. Design, Setting, and Participants Case-control study that enrolled patients with tuberous sclerosis complex with normal IQs in an observational clinical study at the University of California, San Francisco, from 2017 to 2019 where they underwent a comprehensive clinical evaluation including neuropsychologic testing, cerebral spinal fluid biomarker profiling, and structural neuroimaging. The study included adults who fulfilled the clinical criteria for tuberous sclerosis complex and had normal IQs, had frontotemporal dementia, or were healthy control individuals. Main Outcomes and Measures Tuberous sclerosis-associated neuropsychiatric disorders checklist severity score, neuropsychologic test scores, cerebral spinal fluid concentrations of phosphorylated tau181, total tau, amyloid-β 42, and neurofilament light chain. Amyloid and tau positron emission tomography scans were obtained in a subset of patients. Results Eighteen patients with tuberous sclerosis complex (mean [SD] age, 48 years [9.54]; 13 women [72%]), 16 with frontotemporal dementia (60 [6.93] years; 7 women [44%]) and 18 healthy control individuals (63 [3.85] years; 9 women [50%]) were included. The tuberous sclerosis-associated neuropsychiatric disorders checklist and neuropsychological test results were not significantly different when the tuberous sclerosis complex and frontotemporal dementia cohorts were compared. The tuberous sclerosis complex cohort exhibited elevated cerebral spinal fluid phosphorylated tau181 and neurofilament light chain with a mean of 32 pg/mL and 2300 pg/mL, respectively, when compared to healthy control individuals. All 3 patients with tuberous sclerosis complex who underwent fluorine 1B-labeled flortaucipir tau positron emission tomographic neuroimaging showed punctate foci of elevated [18F]flortaucipir binding in the frontal and temporal regions. Conclusions and Relevance Adults with tuberous sclerosis complex showed phenotypic overlap with frontotemporal dementia. The results support a possible clinical continuum between tuberous sclerosis-associated neuropsychiatric disorders and frontotemporal dementia and highlights a potential pathophysiological link between neurodevelopmental and neurodegenerative processes. Quantitative neuropsychological testing and the tuberous sclerosis-associated neuropsychiatric disorders checklist, potentially supplemented by cerebral spinal fluid and imaging biomarkers, could be used to screen and prognosticate for risk of a neurodegenerative process in adult patients with tuberous sclerosis complex.
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Affiliation(s)
- Andy J Liu
- Memory and Aging Center, University of California, San Francisco
| | | | | | | | | | | | - Renaud La Joie
- Memory and Aging Center, University of California, San Francisco
| | - Jamie C Fong
- Memory and Aging Center, University of California, San Francisco
| | - Joanne Taylor
- Memory and Aging Center, University of California, San Francisco
| | - Anna Karydas
- Memory and Aging Center, University of California, San Francisco
| | - Eliana Marisa Ramos
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles
| | - Giovanni Coppola
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles
| | - Adam L Boxer
- Memory and Aging Center, University of California, San Francisco
| | - Gil D Rabinovici
- Memory and Aging Center, University of California, San Francisco.,Associate Editor
| | - Bruce L Miller
- Memory and Aging Center, University of California, San Francisco
| | - Aimee W Kao
- Memory and Aging Center, University of California, San Francisco
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Köbe T, Binette AP, Vogel JW, Meyer PF, Breitner JCS, Poirier J, Villeneuve S. Vascular risk factors are associated with a decline in resting-state functional connectivity in cognitively unimpaired individuals at risk for Alzheimer's disease: Vascular risk factors and functional connectivity changes. Neuroimage 2021; 231:117832. [PMID: 33549747 DOI: 10.1016/j.neuroimage.2021.117832] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/25/2021] [Accepted: 01/27/2021] [Indexed: 12/12/2022] Open
Abstract
Resting-state functional connectivity is suggested to be cross-sectionally associated with both vascular burden and Alzheimer's disease (AD) pathology. However, evidence is lacking regarding longitudinal changes in functional connectivity. This study includes 247 cognitively unimpaired individuals with a family history of sporadic AD (185 women/ 62 men; mean [SD] age of 63 [5.3] years). Plasma total-, HDL-, and LDL-cholesterol and systolic and diastolic blood pressure were measured at baseline. Global (whole-brain) brain functional connectivity and connectivity from canonical functional networks were computed from resting-state functional MRI obtained at baseline and ~3.5 years of annual follow-ups, using a predefined functional parcellation. A subsample underwent Aβ- and tau-PET (n=91). Linear mixed-effects models demonstrated that global functional connectivity increased over time across the entire sample. In contrast, higher total-cholesterol and LDL-cholesterol levels were associated with greater reduction of functional connectivity in the default-mode network over time. In addition, higher diastolic blood pressure was associated with global functional connectivity reduction. The associations were similar when the analyses were repeated using two other functional brain parcellations. Aβ and tau deposition in the brain were not associated with changes in functional connectivity over time in the subsample. These findings provide evidence that vascular burden is associated with a decrease in functional connectivity over time in older adults with elevated risk for AD. Future studies are needed to determine if the impact of vascular risk factors on functional brain changes precede the impact of AD pathology on functional brain changes.
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Affiliation(s)
- Theresa Köbe
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada; German Center for Neurodegenerative Diseases (DZNE), 01307, Dresden, Germany.
| | - Alexa Pichet Binette
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada
| | - Jacob W Vogel
- Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, QC, Canada
| | - Pierre-François Meyer
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada
| | - John C S Breitner
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada
| | - Judes Poirier
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada
| | - Sylvia Villeneuve
- Department of Psychiatry, McGill University, H3A 1A1, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Studies on Prevention of Alzheimer's Disease (StoP-AD) Centre, H4H 1R3, Montreal, Quebec, Canada; Department of Neurology and Neurosurgery, McGill University, H3A 2B4, Montreal, Quebec, Canada.
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127
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Iaccarino L, La Joie R, Lesman-Segev OH, Lee E, Hanna L, Allen IE, Hillner BE, Siegel BA, Whitmer RA, Carrillo MC, Gatsonis C, Rabinovici GD. Association Between Ambient Air Pollution and Amyloid Positron Emission Tomography Positivity in Older Adults With Cognitive Impairment. JAMA Neurol 2021; 78:197-207. [PMID: 33252608 DOI: 10.1001/jamaneurol.2020.3962] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Importance Amyloid-β (Aβ) deposition is a feature of Alzheimer disease (AD) and may be promoted by exogenous factors, such as ambient air quality. Objective To examine the association between the likelihood of amyloid positron emission tomography (PET) scan positivity and ambient air quality in individuals with cognitive impairment. Design, Setting, and Participants This cross-sectional study used data from the Imaging Dementia-Evidence for Amyloid Scanning Study, which included more than 18 000 US participants with cognitive impairment who received an amyloid PET scan with 1 of 3 Aβ tracers (fluorine 18 [18F]-labeled florbetapir, 18F-labeled florbetaben, or 18F-labeled flutemetamol) between February 16, 2016, and January 10, 2018. A sample of older adults with mild cognitive impairment (MCI) or dementia was selected. Exposures Air pollution was estimated at the patient residence using predicted fine particulate matter (PM2.5) and ground-level ozone (O3) concentrations from the Environmental Protection Agency Downscaler model. Air quality was estimated at 2002 to 2003 (early, or approximately 14 [range, 13-15] years before amyloid PET scan) and 2015 to 2016 (late, or approximately 1 [range, 0-2] years before amyloid PET scan). Main Outcomes and Measures Primary outcome measure was the association between air pollution and the likelihood of amyloid PET scan positivity, which was measured as odds ratios (ORs) and marginal effects, adjusting for demographic, lifestyle, and socioeconomic factors and medical comorbidities, including respiratory, cardiovascular, cerebrovascular, psychiatric, and neurological conditions. Results The data set included 18 178 patients, of which 10 991 (60.5%) had MCI and 7187 (39.5%) had dementia (mean [SD] age, 75.8 [6.3] years; 9333 women [51.3%]). Living in areas with higher estimated biennial PM2.5 concentrations in 2002 to 2003 was associated with a higher likelihood of amyloid PET scan positivity (adjusted OR, 1.10; 95% CI, 1.05-1.15; z score = 3.93; false discovery rate [FDR]-corrected P < .001; per 4-μg/m3 increments). Results were similar for 2015 to 2016 data (OR, 1.15; 95% CI, 1.05-1.26, z score = 3.14; FDR-corrected P = .003). An average marginal effect (AME) of +0.5% (SE = 0.1%; z score, 3.93; 95% CI, 0.3%-0.7%; FDR-corrected P < .001) probability of amyloid PET scan positivity for each 1-μg/m3 increase in PM2.5 was observed for 2002 to 2003, whereas an AME of +0.8% (SE = 0.2%; z score = 3.15; 95% CI, 0.3%-1.2%; FDR-corrected P = .002) probability was observed for 2015 to 2016. Post hoc analyses showed no effect modification by sex (2002-2003: interaction term β = 1.01 [95% CI, 0.99-1.04; z score = 1.13; FDR-corrected P = .56]; 2015-2016: β = 1.02 [95% CI, 0.98-1.07; z score = 0.91; FDR-corrected P = .56]) or clinical stage (2002-2003: interaction term β = 1.01 [95% CI, 0.99-1.03; z score = 0.77; FDR-corrected P = .58]; 2015-2016: β = 1.03; 95% CI, 0.99-1.08; z score = 1.46; FDR-corrected P = .47]). Exposure to higher O3 concentrations was not associated with amyloid PET scan positivity in both time windows. Conclusions and Relevance This study found that higher PM2.5 concentrations appeared to be associated with brain Aβ plaques. These findings suggest the need to consider airborne toxic pollutants associated with Aβ pathology in public health policy decisions and to inform individual lifetime risk of developing AD and dementia.
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Affiliation(s)
- Leonardo Iaccarino
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco
| | - Orit H Lesman-Segev
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco.,Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Eunice Lee
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco
| | - Lucy Hanna
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Isabel E Allen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco
| | - Bruce E Hillner
- Department of Medicine, Virginia Commonwealth University, Richmond
| | - Barry A Siegel
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Rachel A Whitmer
- Division of Research, Kaiser Permanente, Oakland, California.,Department of Public Health Sciences, University of California, Davis, Davis
| | - Maria C Carrillo
- Medical and Scientific Relations Division, Alzheimer's Association, Chicago, Illinois
| | - Constantine Gatsonis
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island.,Department of Biostatistics, Brown University School of Public Health, Providence, Rhode Island
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco.,Associate Editor, JAMA Neurology
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Abstract
This article presents an overview of imaging agents for PET that have been applied for research and diagnostic purposes in patients affected by dementia. Classified by the target which the agents visualize, seven groups of tracers can be distinguished, namely radiopharmaceuticals for: (1) Misfolded proteins (ß-amyloid, tau, α-synuclein), (2) Neuroinflammation (overexpression of translocator protein), (3) Elements of the cholinergic system, (4) Elements of monoamine neurotransmitter systems, (5) Synaptic density, (6) Cerebral energy metabolism (glucose transport/ hexokinase), and (7) Various other proteins. This last category contains proteins involved in mechanisms underlying neuroinflammation or cognitive impairment, which may also be potential therapeutic targets. Many receptors belong to this category: AMPA, cannabinoid, colony stimulating factor 1, metabotropic glutamate receptor 1 and 5 (mGluR1, mGluR5), opioid (kappa, mu), purinergic (P2X7, P2Y12), sigma-1, sigma-2, receptor for advanced glycation endproducts, and triggering receptor expressed on myeloid cells-1, besides several enzymes: cyclooxygenase-1 and 2 (COX-1, COX-2), phosphodiesterase-5 and 10 (PDE5, PDE10), and tropomyosin receptor kinase. Significant advances in neuroimaging have been made in the last 15 years. The use of 2-[18F]-fluoro-2-deoxy-D-glucose (FDG) for quantification of regional cerebral glucose metabolism is well-established. Three tracers for ß-amyloid plaques have been approved by the Food and Drug Administration and European Medicines Agency. Several tracers for tau neurofibrillary tangles are already applied in clinical research. Since many novel agents are in the preclinical or experimental stage of development, further advances in nuclear medicine imaging can be expected in the near future. PET studies with established tracers and tracers for novel targets may result in early diagnosis and better classification of neurodegenerative disorders and in accurate monitoring of therapy trials which involve these targets. PET data have prognostic value and may be used to assess the response of the human brain to interventions, or to select the appropriate treatment strategy for an individual patient.
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Affiliation(s)
- Aren van Waarde
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, Groningen, the Netherlands.
| | - Sofia Marcolini
- University of Groningen, University Medical Center Groningen, Department of Neurology, Groningen, the Netherlands
| | - Peter Paul de Deyn
- University of Groningen, University Medical Center Groningen, Department of Neurology, Groningen, the Netherlands; University of Antwerp, Born-Bunge Institute, Neurochemistry and Behavior, Campus Drie Eiken, Wilrijk, Belgium
| | - Rudi A J O Dierckx
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, Groningen, the Netherlands; Ghent University, Ghent, Belgium
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129
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Park JE, Lee YJ, Byun MS, Yi D, Lee JH, Jeon SY, Hwang JY, Yoon H, Choe YM, Kim YK, Shin SA, Suk HW, Lee DY. Differential associations of age and Alzheimer's disease with sleep and rest-activity rhythms across the adult lifespan. Neurobiol Aging 2021; 101:141-149. [PMID: 33618266 DOI: 10.1016/j.neurobiolaging.2021.01.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 01/05/2021] [Accepted: 01/09/2021] [Indexed: 02/06/2023]
Abstract
This study aimed to identify differences between physiological age-related and Alzheimer's disease (AD)-related alterations in sleep and rest-activity rhythm. All participants (n = 280; 20-90 years) underwent clinical assessments, [11C] Pittsburgh compound B-positron emission tomography, and actigraphic monitoring. In cognitively normal adults without cerebral amyloid-β, older age was associated with earlier timing of circadian phase and robust rest-activity rhythm, but sleep quantity and quality were mostly unaffected by age. While preclinical AD was associated with earlier circadian timing, clinical AD exhibited later timing of daily rhythm and increased sleep duration. In conclusion, our findings suggest that older age itself leads to a more regular daily activity rhythm, but does not affect sleep duration. While preclinical AD made the effects of age-related phase advance more prominent, clinical AD was related to later circadian timing and increased sleep duration.
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Affiliation(s)
- Jee Eun Park
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Yu Jin Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea; Center for Sleep and Chronobiology, Seoul National University Hospital, Seoul, South Korea
| | - Min Soo Byun
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Dahyun Yi
- Medical Research Center, Institute of Human Behavioral Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Jun Ho Lee
- Department of psychiatry, National Center for Mental Health, Seoul, South Korea
| | - So Yeon Jeon
- Department of Psychiatry, Chungnam National University, Daejeon, South Korea
| | - Jeong Yeon Hwang
- Seoul National University College of Medicine, Seoul, South Korea
| | - Heenam Yoon
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea
| | - Young Min Choe
- Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, South Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, South Korea
| | - Seong A Shin
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, South Korea
| | - Hye Won Suk
- Department of Psychology, Sogang University, Seoul, South Korea
| | - Dong Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea; Medical Research Center, Institute of Human Behavioral Medicine, Seoul National University Hospital, Seoul, South Korea; Interdisiplinary Program in Cognitive science, Seoul National University, Seoul, South Korea.
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130
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Teipel SJ, Temp AGM, Levin F, Dyrba M, Grothe MJ. Association of TDP-43 Pathology with Global and Regional 18F-Florbetapir PET Signal in the Alzheimer's Disease Spectrum. J Alzheimers Dis 2021; 79:663-670. [PMID: 33337372 DOI: 10.3233/jad-201032] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND TAR DNA-binding protein 43 (TDP-43) has been recognized as a frequent co-pathology of Alzheimer's disease (AD). The effect of the presence of TDP-43 pathology on in vivo measures of AD-related amyloid pathology using amyloid sensitive PET is still unresolved. OBJECTIVE To study the association of TDP-43 pathology with antemortem amyloid PET signal. METHODS We studied 30 cases from the ADNI autopsy sample with available ratings of presence of TDP-43 and antemortem amyloid sensitive 18F-FlorbetapirPET. We used Bayesian regression to determine the effect of TDP-43 on global and regional amyloid PET signal. In a post-hoc analysis, we assessed the association of TDP-43 pathology with antemortem memory performance. RESULTS We found substantial to strong evidence for a negative effect of TDP-43 (Bayes factor against the null model (BF10) = 9.0) and hippocampal sclerosis (BF10 = 6.4) on partial volume corrected hippocampal 18F-Florbetapir uptake. This effect was only partly mediated by the negative effect of TDP-43 on hippocampal volume. In contrast, Bayesian regression supported that there is no effect of TDP-43 on global cortical PET-signal (BF10 = 0.65). We found an anecdotal level of evidence for a negative effect of TDP-43 pathology on antemortem memory performance after accounting for global amyloid PET signal (BF10 = 1.6). CONCLUSION Presence of TDP-43 pathology does not confound the global amyloid PET-signal but has a selective effect on hippocampal PET-signal that appears only partially dependent on TDP-43 mediated atrophy.
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Affiliation(s)
- Stefan J Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany
| | | | - Fedor Levin
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Martin Dyrba
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Michel J Grothe
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
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Caso F, Agosta F, Magnani G, Cardamone R, Borghesani V, Miller Z, Riva N, La Joie R, Coppola G, Grinberg LT, Seeley WW, Miller BL, Gorno-Tempini ML, Filippi M. Temporal variant of frontotemporal dementia in C9orf72 repeat expansion carriers: two case studies. Brain Imaging Behav 2021; 14:336-345. [PMID: 32180125 DOI: 10.1007/s11682-019-00253-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The temporal variant of frontotemporal dementia (tv-FTD) is a progressive neurodegenerative disease with a complex clinical picture mainly characterized by behavioral and language disorders. In this work, we describe clinical, genetic, neuroanatomical and neuropathological (only in one case) features of two patients with tv-FTD carrying C9orf72 repeat expansion. The first patient (AB) presented with a 1-year disease duration showing focal right anterior temporal lobe (ATL) atrophy on magnetic resonance imaging (MRI). The second patient (BC) came to medical attention 13 years after disease onset and showed a prominent bilateral ATL involvement. Both patients showed naming deficits, impairment in identifying known faces and proper names, and personality changes with new onset behavioral rigidity, and progressing language difficulties to single-word and sentence comprehension difficulties. They were classified as tv-FTD. Clinical, cognitive and MRI follow-up were performed. As cognitive impairment progressed, MRI atrophy worsened in ATL and frontotemporal areas in both patients. Both cases had clear family histories of neurological and/or psychiatric disease. Genetic testing revealed a C9orf72 hexanucleotide repeat expansion in both cases. BC passed away after 15 years of disease and autopsy showed the expected TDP-type B pathology. These genetic cases of tv-FTD highlight the susceptibility of ATL to C9orf72-related pathology and emphasize the importance of genetical testing in FTD-spectrum disorders, regardless of the clinical phenotype.
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Affiliation(s)
- Francesca Caso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.,Neurology Unit, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | | | | | | | - Zachary Miller
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Nilo Riva
- Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Renaud La Joie
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Giovanni Coppola
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.,Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Lea T Grinberg
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | - William W Seeley
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | | | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy. .,Neurology Unit, IRCCS Ospedale San Raffaele, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy. .,Neurophysiology Unit, IRCCS Ospedale San Raffaele, Milan, Italy.
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Teipel SJ, Temp AGM, Levin F, Dyrba M, Grothe MJ. Association of PET-based stages of amyloid deposition with neuropathological markers of Aβ pathology. Ann Clin Transl Neurol 2021; 8:29-42. [PMID: 33137247 PMCID: PMC7818279 DOI: 10.1002/acn3.51238] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 09/22/2020] [Accepted: 10/02/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To determine if PET-based stages of regional amyloid deposition are associated with neuropathological phases of Aβ pathology. METHODS We applied data-driven regional frequency-based and a-priori striatum-based PET staging approaches to ante-mortem 18F-Florbetapir-PET scans of 30 cases from the Alzheimer's Disease Neuroimaging Initiative autopsy cohort, and used Bayesian regression analysis to study the associations of these in vivo amyloid stages with neuropathological Thal phases of regional Aβ plaque distribution and with semi-quantitative ratings of neocortical and striatal plaque densities. RESULTS Bayesian regression revealed extreme evidence for an association of both PET-based staging approaches with Thal phases, and these associations were about 44 times more likely for frequency-based stages and 89 times more likely for striatum-based stages than for global cortical 18F-Florbetapir-PET signal. Early (i.e., neocortical-only) PET-based amyloid stages also predicted the absence of striatal/diencephalic cored plaques. Receiver operating characteristics curves revealed highly accurate discrimination between low/high Thal phases and the presence/absence of regional plaques. The median areas under the curve were 0.99 for frequency-based staging (95% credibility interval 0.97-1.00), 0.93 for striatum-based staging (0.83-1.00), and 0.87 for global 18F-Florbetapir-PET signal (0.72-0.98). INTERPRETATION Our data indicate that both regional frequency- and striatum-based amyloid-PET staging approaches were superior to standard global amyloid-PET signal for differentiating between low and high degrees of regional amyloid pathology spread. Despite this, we found no evidence for the ability of either staging scheme to differentiate between low and moderate degrees of amyloid pathology which may be particularly relevant for early, preclinical stages of Alzheimer's disease.
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Affiliation(s)
- Stefan J. Teipel
- German Center for Neurodegenerative Diseases (DZNE)RostockGermany
- Department of Psychosomatic MedicineUniversity Medicine RostockRostockGermany
| | - Anna G. M. Temp
- German Center for Neurodegenerative Diseases (DZNE)RostockGermany
| | - Fedor Levin
- German Center for Neurodegenerative Diseases (DZNE)RostockGermany
| | - Martin Dyrba
- German Center for Neurodegenerative Diseases (DZNE)RostockGermany
| | - Michel J. Grothe
- German Center for Neurodegenerative Diseases (DZNE)RostockGermany
- Servicio de Neurología y Neurofisiología ClínicaUnidad de Trastornos del MovimientoInstituto de Biomedicina de SevillaHospital Universitario Virgen del Rocío/CSICUniversidad de SevillaSevilleSpain
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Iaccarino L, La Joie R, Edwards L, Strom A, Schonhaut DR, Ossenkoppele R, Pham J, Mellinger T, Janabi M, Baker SL, Soleimani-Meigooni D, Rosen HJ, Miller BL, Jagust WJ, Rabinovici GD. Spatial Relationships between Molecular Pathology and Neurodegeneration in the Alzheimer's Disease Continuum. Cereb Cortex 2021; 31:1-14. [PMID: 32808011 PMCID: PMC7727356 DOI: 10.1093/cercor/bhaa184] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 06/01/2020] [Accepted: 06/08/2020] [Indexed: 12/12/2022] Open
Abstract
A deeper understanding of the spatial relationships of β-amyloid (Aβ), tau, and neurodegeneration in Alzheimer's disease (AD) could provide insight into pathogenesis and clinical trial design. We included 81 amyloid-positive patients (age 64.4 ± 9.5) diagnosed with AD dementia or mild cognitive impairment due to AD and available 11C-PiB (PIB), 18F-Flortaucipir (FTP),18F-FDG-PET, and 3T-MRI, and 31 amyloid-positive, cognitively normal participants (age 77.3 ± 6.5, no FDG-PET). W-score voxel-wise deviation maps were created and binarized for each imaging-modality (W > 1.64, P < 0.05) adjusting for age, sex, and total intracranial volume (sMRI-only) using amyloid-negative cognitively normal adults. For symptomatic patients, FDG-PET and atrophy W-maps were combined into neurodegeneration maps (ND). Aβ-pathology showed the greatest proportion of cortical gray matter suprathreshold voxels (spatial extent) for both symptomatic and asymptomatic participants (median 94-55%, respectively), followed by tau (79-11%) and neurodegeneration (41-3%). Amyloid > tau > neurodegeneration was the most frequent hierarchy for both groups (79-77%, respectively), followed by tau > amyloid > neurodegeneration (13-10%) and amyloid > neurodegeneration > tau (6-13%). For symptomatic participants, most abnormal voxels were PIB+/FTP+/ND- (median 35%), and the great majority of ND+ voxels (91%) colocalized with molecular pathology. Amyloid spatially exceeded tau and neurodegeneration, with individual heterogeneities. Molecular pathology and neurodegeneration showed a progressive overlap along AD course, indicating shared vulnerabilities or synergistic toxic mechanisms.
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Affiliation(s)
- Leonardo Iaccarino
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Lauren Edwards
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Amelia Strom
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Daniel R Schonhaut
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Rik Ossenkoppele
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam 1081 HV, The Netherlands
| | - Julie Pham
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Taylor Mellinger
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Mustafa Janabi
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Suzanne L Baker
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - David Soleimani-Meigooni
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
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Abstract
Imaging has made an immense contribution toward supporting the diagnosis of dementias, detecting preclinical and prodromal pathology, and allowing disease progression to be objectively tracked. This has led to consensus guidelines for the use of imaging in dementias to be published and a future task will be to validate these guidelines. Additionally, there needs to be standardised approaches over the use of binary thresholds when assigning an abnormality status. Other medical unmet needs include the need for specific imaging markers of (1) linear tau tangles, TDP-43 and alpha synuclein aggregates; (2) microglial phenotypes that throw light on the activity of these inflammatory cells; (3) activity of intracellular processes which normally act to clear misfolded proteins; (4) epigenetic activity which regulates gene expression. Future imaging studies are predicted to be active in all these areas. Finally, as safer and more effective immunotherapy and other protective strategies against the pathologies of dementias are developed and trialed, imaging will play a major future role in determining the efficacy of neuroprotective treatments and their mechanism of action to be examined.
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Affiliation(s)
- David J Brooks
- Translational and Clinical Research Institute, University of Newcastle upon Tyne, UK; Department of Nuclear Medicine, PET Centre, Aarhus University, Denmark; Department of Brain Sciences, Imperial College London, UK.
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Harrison TM, Du R, Klencklen G, Baker SL, Jagust WJ. Distinct effects of beta-amyloid and tau on cortical thickness in cognitively healthy older adults. Alzheimers Dement 2020; 17:1085-1096. [PMID: 33325068 PMCID: PMC8203764 DOI: 10.1002/alz.12249] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 10/22/2020] [Accepted: 11/01/2020] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Published reports of associations between β-amyloid (Aβ) and cortical integrity conflict. Tau biomarkers may help elucidate the complex relationship between pathology and neurodegeneration in aging. METHODS We measured cortical thickness using magnetic resonance imaging, Aβ using Pittsburgh compound B positron emission tomography (PiB-PET), and tau using flortaucipir (FTP)-PET in 125 cognitively normal older adults. We examined relationships among PET measures, cortical thickness, and cognition. RESULTS Cortical thickness was reduced in PiB+/FTP+ participants compared to the PiB+/FTP- and PiB-/FTP- groups. Continuous PiB associations with cortical thickness were weak but positive in FTP- participants and negative in FTP+. FTP strongly negatively predicted thickness regardless of PiB status. FTP was associated with memory and cortical thickness, and mediated the association of PiB with memory. DISCUSSION Past findings linking Aβ and cortical thickness are likely weak due to opposing effects of Aβ on cortical thickness relative to tau burden. Tau, in contrast to Aβ, is strongly related to cortical thickness and memory.
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Affiliation(s)
- Theresa M Harrison
- Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California, USA
| | - Richard Du
- Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California, USA
| | - Giuliana Klencklen
- Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California, USA
| | - Suzanne L Baker
- Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, California, USA.,Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Busatto GF, de Gobbi Porto FH, Faria DDP, Squarzoni P, Coutinho AM, Garcez AT, Rosa PGP, da Costa NA, Carvalho CL, Torralbo L, de Almeida Hernandes JR, Ono CR, Brucki SMD, Nitrini R, Buchpiguel CA, Souza Duran FL, Forlenza OV. In vivo imaging evidence of poor cognitive resilience to Alzheimer's disease pathology in subjects with very low cognitive reserve from a low-middle income environment. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12122. [PMID: 33426265 PMCID: PMC7780143 DOI: 10.1002/dad2.12122] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 09/09/2020] [Accepted: 09/16/2020] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Reduced cognitive reserve (CR) due to very low educational (VLE) levels may influence high dementia rates in low-middle income environments, leading to decreased cognitive resilience (RES) to Alzheimer´s disease (AD) pathology. However, in vivo findings in VLE groups confirming this prediction are lacking. METHODS Cognitively impaired patients (with clinically defined AD dementia or amnestic mild cognitive impairment) and cognitively unimpaired older adults (n = 126) were recruited for a positron emission tomography (PET) and magnetic resonance imaging (MRI) investigation in Brazil, including 37 VLE individuals (≤5 years of education). A CR score was generated combining educational attainment and vocabulary knowledge. RES indices to AD pathology were calculated using standardized residuals from linear regression models relating current cognitive performance (episodic memory or overall cognition) to amyloid beta (Aβ) burden Pittsburgh compound-B ([11C]PiB-PET). RESULTS Aβ burden was lower in VLE relative to highly-educated subjects (controlling for age, sex, and Mini-Mental Status Exam [MMSE] scores) in the overall cognitively impaired sample, and in dementia subjects when the three clinically defined groups were evaluated separately. In bivariate regression analyses for the overall sample, the RES index based on a composite cognitive score was predicted by CR, socioeconomic status, and hippocampal volume (but not white matter hyperintensities or intracranial volume [ICV]); in the multivariate model, only CR retained significance (and similar results were obtained in the Aβ-positive subsample). In the multivariate model for the overall sample using the RES index based on memory performance, CR, hippocampal volume, and ICV were significant predictors, whereas only CR retained significance in Aβ-positive subjects. DISCUSSION Lower CR consistently predicted less resilience to AD pathology in older adults from a low-middle income environment.
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Affiliation(s)
- Geraldo F. Busatto
- Laboratory of Psychiatric Neuroimaging (LIM 21)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Fabio Henrique de Gobbi Porto
- Laboratory of Psychiatric Neuroimaging (LIM 21)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Daniele de Paula Faria
- Laboratory of Nuclear Medicine (LIM43)Department of Radiology and OncologyFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Paula Squarzoni
- Laboratory of Psychiatric Neuroimaging (LIM 21)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Artur Martins Coutinho
- Laboratory of Nuclear Medicine (LIM43)Department of Radiology and OncologyFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Alexandre Teles Garcez
- Laboratory of Nuclear Medicine (LIM43)Department of Radiology and OncologyFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Pedro Gomes Penteado Rosa
- Laboratory of Psychiatric Neuroimaging (LIM 21)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Naomi Antunes da Costa
- Laboratory of Psychiatric Neuroimaging (LIM 21)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Cleudiana Lima Carvalho
- Laboratory of Psychiatric Neuroimaging (LIM 21)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Leticia Torralbo
- Laboratory of Psychiatric Neuroimaging (LIM 21)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Jullie Rosana de Almeida Hernandes
- Laboratory of Psychiatric Neuroimaging (LIM 21)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Carla Rachel Ono
- Laboratory of Nuclear Medicine (LIM43)Department of Radiology and OncologyFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | | | - Ricardo Nitrini
- Department of NeurologyFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Carlos Alberto Buchpiguel
- Laboratory of Nuclear Medicine (LIM43)Department of Radiology and OncologyFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Fabio Luis Souza Duran
- Laboratory of Psychiatric Neuroimaging (LIM 21)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
| | - Orestes Vicente Forlenza
- Laboratory of Neuroscience (LIM 27)Department of PsychiatryFaculdade de Medicina FMUSPUniversidade de Sao PauloSao PauloBrazil
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Increasing the reproducibility of fluid biomarker studies in neurodegenerative studies. Nat Commun 2020; 11:6252. [PMID: 33288742 PMCID: PMC7721731 DOI: 10.1038/s41467-020-19957-6] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 11/09/2020] [Indexed: 12/13/2022] Open
Abstract
Biomarkers have revolutionized scientific research on neurodegenerative diseases, in particular Alzheimer's disease, transformed drug trial design, and are also increasingly improving patient management in clinical practice. A few key cerebrospinal fluid biomarkers have been robustly associated with neurodegenerative diseases. Several novel biomarkers are very promising, especially blood-based markers. However, many biomarker findings have had low reproducibility despite initial promising results. In this perspective, we identify possible sources for low reproducibility of studies on fluid biomarkers for neurodegenerative diseases, with a focus on Alzheimer's disease. We suggest guidelines for researchers and journal editors, with the aim to improve reproducibility of findings.
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Sonni I, Lesman Segev OH, Baker SL, Iaccarino L, Korman D, Rabinovici GD, Jagust WJ, Landau SM, La Joie R. Evaluation of a visual interpretation method for tau-PET with 18F-flortaucipir. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12133. [PMID: 33313377 PMCID: PMC7699207 DOI: 10.1002/dad2.12133] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 10/13/2020] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Positron emission tomography targeting tau (tau-PET) is a promising diagnostic tool for the identification of Alzheimer's disease (AD). Currently available data rely on quantitative measures, and a visual interpretation method, critical for clinical translation, is needed. METHODS We developed a visual interpretation method for 18F-flortaucipir tau-PET and tested it on 274 individuals (cognitively normal controls, patients with mild cognitive impairment [MCI], AD dementia, and non-AD diagnoses). Two readers interpreted 18F-flortaucipir PET using two complementary indices: a global visual score and a visual distribution pattern. RESULTS Global visual scores were reliable, correlated with global cortical 18F-flortaucipir standardized uptake value ratio (SUVR) and were associated with clinical diagnosis and amyloid status. The AD-like 18F-flortaucipir pattern had good sensitivity and specificity to identify amyloid-positive patients with AD dementia or MCI. DISCUSSION This 18F-flortaucipir visual rating scheme is associated with SUVR quantification, clinical diagnosis, and amyloid status, and constitutes a promising approach to tau measurement in clinical settings.
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Affiliation(s)
- Ida Sonni
- Molecular Biophysics and Integrated BioimagingLawrence Berkeley National LabBerkeleyCaliforniaUSA
- Ahmanson Translational Theranostics Division, Department of Molecular and Medical PharmacologyUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Orit H. Lesman Segev
- Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of Diagnostic ImagingSheba Medical Center, Tel HashomerRamat GanIsrael
| | - Suzanne L. Baker
- Molecular Biophysics and Integrated BioimagingLawrence Berkeley National LabBerkeleyCaliforniaUSA
| | - Leonardo Iaccarino
- Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Deniz Korman
- Helen Wills Neuroscience InstituteUniversity of California, BerkeleyBerkeleyCaliforniaUSA
| | - Gil D. Rabinovici
- Molecular Biophysics and Integrated BioimagingLawrence Berkeley National LabBerkeleyCaliforniaUSA
- Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - William J. Jagust
- Molecular Biophysics and Integrated BioimagingLawrence Berkeley National LabBerkeleyCaliforniaUSA
- Helen Wills Neuroscience InstituteUniversity of California, BerkeleyBerkeleyCaliforniaUSA
| | - Susan M. Landau
- Helen Wills Neuroscience InstituteUniversity of California, BerkeleyBerkeleyCaliforniaUSA
| | - Renaud La Joie
- Memory and Aging CenterUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
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Regional Tau Effects on Prospective Cognitive Change in Cognitively Normal Older Adults. J Neurosci 2020; 41:366-375. [PMID: 33219003 DOI: 10.1523/jneurosci.2111-20.2020] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 10/21/2020] [Accepted: 11/12/2020] [Indexed: 11/21/2022] Open
Abstract
Studies suggest that tau deposition starts in the anterolateral entorhinal cortex (EC) with normal aging, and that the presence of β-amyloid (Aβ) facilitates its spread to neocortex, which may reflect the beginning of Alzheimer's disease (AD). Functional connectivity between the anterolateral EC and the anterior-temporal (AT) memory network appears to drive higher tau deposition in AT than in the posterior-medial (PM) memory network. Here, we investigated whether this differential vulnerability to tau deposition may predict different cognitive consequences of EC, AT, and PM tau. Using 18F-flortaucipir (FTP) and 11C-Pittsburgh compound-B (PiB) positron emission tomography (PET) imaging, we measured tau and Aβ in 124 cognitively normal human older adults (74 females, 50 males) followed for an average of 2.8 years for prospective cognition. We found that higher FTP in all three regions was individually related to faster memory decline, and that the effects of AT and PM FTP, but not EC, were driven by Aβ+ individuals. Moreover, when we included all three FTP measures competitively in the same model, only AT FTP significantly predicted memory decline. Our data support a model whereby tau, facilitated by Aβ, transits from EC to cortical regions that are most closely associated with the anterolateral EC, which specifically affects memory in the initial stage of AD. Memory also appears to be affected by EC tau in the absence of Aβ, which may be less clinically consequential. These findings may provide clarification of differences between normal aging and AD, and elucidate the transition between the two stages.SIGNIFICANCE STATEMENT Tau and β-amyloid (Aβ) are hallmarks of Alzheimer's disease (AD) but are also found in cognitively normal people. It is unclear whether, and how, this early deposition of tau and Aβ may affect cognition in normal aging and the asymptomatic stage of AD. We show that tau deposition in the entorhinal cortex (EC), which is common in advanced age, predicts memory decline in older adults independent of Aβ, likely reflecting normal, age-related memory loss. In contrast, tau in anterior-temporal (AT) regions is most predictive of memory decline in Aβ+ individuals. These data support the idea that tau preferentially spreads to specific cortical regions, likely through functional connections, which plays a primary role in memory decline in the early stage of AD.
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Farrell ME, Jiang S, Schultz AP, Properzi MJ, Price JC, Becker JA, Jacobs HIL, Hanseeuw BJ, Rentz DM, Villemagne VL, Papp KV, Mormino EC, Betensky RA, Johnson KA, Sperling RA, Buckley RF. Defining the Lowest Threshold for Amyloid-PET to Predict Future Cognitive Decline and Amyloid Accumulation. Neurology 2020; 96:e619-e631. [PMID: 33199430 DOI: 10.1212/wnl.0000000000011214] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 09/21/2020] [Indexed: 12/22/2022] Open
Abstract
INTRODUCTION As clinical trials move toward earlier intervention, we sought to redefine the β-amyloid (Aβ)-PET threshold based on the lowest point in a baseline distribution that robustly predicts future Aβ accumulation and cognitive decline in 3 independent samples of clinically normal individuals. METHODS Sequential Aβ cutoffs were tested to identify the lowest cutoff associated with future change in cognition (Preclinical Alzheimer Cognitive Composite [PACC]) and Aβ-PET in clinically normal participants from the Harvard Aging Brain Study (n = 342), Australian Imaging, Biomarker and Lifestyle study of aging (n = 157), and Alzheimer's Disease Neuroimaging Initiative (n = 356). RESULTS Within samples, cutoffs derived from future Aβ-PET accumulation and PACC decline converged on the same inflection point, beyond which trajectories diverged from normal. Across samples, optimal cutoffs fell within a short range (Centiloid 15-18.5). DISCUSSION These optimized thresholds can help to inform future research and clinical trials targeting early Aβ. Threshold convergence raises the possibility of contemporaneous early changes in Aβ and cognition. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that among clinically normal individuals a specific Aβ-PET threshold is predictive of cognitive decline.
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Affiliation(s)
- Michelle E Farrell
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Shu Jiang
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Aaron P Schultz
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Michael J Properzi
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Julie C Price
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - J Alex Becker
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Heidi I L Jacobs
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Bernard J Hanseeuw
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Dorene M Rentz
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Victor L Villemagne
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Kathryn V Papp
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Elizabeth C Mormino
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Rebecca A Betensky
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Keith A Johnson
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Reisa A Sperling
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia
| | - Rachel F Buckley
- From the Departments of Neurology (M.E.F., S.J., A.P.S., M.J.P., D.M.R., K.V.P., R.A.B., K.A.J., R.A.S., R.F.B.) and Radiology (J.C.P., J.A.B., H.I.L.J., B.J.H., K.A.J.), Massachusetts General Hospital, Harvard Medical School; Department of Biostatistics (S.J., R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; Division of Public Health Sciences (S.J.), Department of Surgery, Washington University School of Medicine in St. Louis, MO; Faculty of Health (H.I.L.J.), Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, the Netherlands; Cliniques Universitaires Saint-Luc (B.J.H.), Université Catholique de Louvain, Brussels, Belgium; Center for Alzheimer Research and Treatment (D.M.R., K.V.P., R.A.S., R.F.B.), Brigham and Women's Hospital, Boston, MA; Department of Molecular Imaging & Therapy (V.L.V.), Austin Health, Melbourne, Australia; Department of Neuroscience (E.C.M.), Stanford University, Palo Alto, CA; Department of Biostatistics (R.A.B.), New York University School of Global Public Health, NY; Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA; and Melbourne School of Psychological Sciences (R.F.B.), University of Melbourne, Australia.
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Lee JH, Byun MS, Yi D, Ko K, Jeon SY, Sohn BK, Lee JY, Lee Y, Joung H, Lee DY. Long-Term Exposure to PM10 and in vivo Alzheimer’s Disease Pathologies. J Alzheimers Dis 2020; 78:745-756. [DOI: 10.3233/jad-200694] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Previous studies indicated an association between Alzheimer’s disease (AD) dementia and air particulate matter (PM) with aerodynamic diameter <10μm (PM10), as well as smaller PM. Limited information, however, is available for the neuropathological links underlying such association. Objective: This study aimed to investigate the relationship between long-term PM10 exposure and in vivo pathologies of AD using multimodal neuroimaging. Methods: The study population consisted of 309 older adults without dementia (191 cognitively normal and 118 mild cognitive impairment individuals), who lived in Republic of Korea. Participants underwent comprehensive clinical assessments, 11C-Pittsburg compound B (PiB) positron emission tomography (PET), and magnetic resonance imaging scans. A subset of 78 participants also underwent 18F-AV-1451 tau PET evaluation. The mean concentration of PM with aerodynamic diameter <10μm over the past 5 years (PM10mean) collected from air pollution surveillance stations were matched to each participant’s residence. Results: In this non-demented study population, of which 62% were cognitively normal and 38% were in mild cognitive impairment state, exposure to the highest tertile of PM10mean was associated with increased risk of amyloid-β (Aβ) positivity (odds ratio 2.19, 95% confidence interval 1.13 to 4.26) even after controlling all potential confounders. In contrast, there was no significant associations between PM10mean exposure and tau accumulation. AD signature cortical thickness and white matter hyperintensity volume were also not associated with PM10mean exposure. Conclusion: The findings suggest that long-term exposure to PM10 may contribute to pathological Aβ deposition.
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Affiliation(s)
- Jun Ho Lee
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, National Center for Mental Health, Seoul, Republic of Korea
| | - Min Soo Byun
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University, Seoul, Republic of Korea
| | - Kang Ko
- Department of Psychiatry, National Center for Mental Health, Seoul, Republic of Korea
| | - So Yeon Jeon
- Department of Psychiatry, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Bo Kyung Sohn
- Department of Psychiatry, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Republic of Korea
| | - Jun-Young Lee
- Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Younghwa Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Haejung Joung
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Dong Young Lee
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, Seoul, Republic of Korea
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University, Seoul, Republic of Korea
- Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
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142
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Yoon B, Baker SL, Korman D, Tennant VR, Harrison TM, Landau S, Jagust WJ. Conscientiousness is associated with less amyloid deposition in cognitively normal aging. Psychol Aging 2020; 35:993-999. [PMID: 33166168 DOI: 10.1037/pag0000582] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Little is known about the association between personality and Alzheimer's disease (AD) biomarkers, and existing results are inconsistent. We aimed to determine whether personality was associated with β-amyloid (Aβ) accumulation in cognitively normal aging. One hundred twenty-nine participants were included in this cross-sectional study. Personality was measured with the Big Five Inventory (BFI) and brain Aβ deposition was assessed with [11C] Pittsburgh compound B (PiB)-positron emission tomography (PET) imaging. Conscientiousness scores had a negative association with global PiB distribution volume ratio (DVR) in all participants after adjusting for age, sex, education, and vascular risk factors (β[SE] = -0.19[0.09], 95% confidence interval [CI: -0.35, -0.02], p = .031), while agreeableness, extraversion, neuroticism, and openness had no association with global PiB DVR. Assuming the relative stability of personality traits, these findings suggest that conscientiousness may protect against Aβ accumulation in cognitively normal aging through mechanisms that are as yet unknown. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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143
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Winer JR, Mander BA, Kumar S, Reed M, Baker SL, Jagust WJ, Walker MP. Sleep Disturbance Forecasts β-Amyloid Accumulation across Subsequent Years. Curr Biol 2020; 30:4291-4298.e3. [PMID: 32888482 PMCID: PMC7642104 DOI: 10.1016/j.cub.2020.08.017] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 07/08/2020] [Accepted: 08/05/2020] [Indexed: 12/13/2022]
Abstract
Experimental sleep-wake disruption in rodents and humans causally modulates β-amyloid (Aβ) dynamics (e.g., [1-3]). This leads to the hypothesis that, beyond cross-sectional associations, impaired sleep structure and physiology could represent prospective biomarkers of the speed with which Aβ accumulates over time. Here, we test the hypothesis that initial baseline measures of non-rapid eye movement (NREM) sleep slow-wave activity (SWA) and sleep quality (efficiency) provide future forecasting sensitivity to the rate of Aβ accumulation over subsequent years. A cohort of clinically normal older adults was assessed using objective sleep polysomnography in combination with longitudinal tracking of Aβ accumulation with [11C]PiB positron emission tomography (PET) imaging. Both the proportion of NREM SWA below 1 Hz and the measure of sleep efficiency predicted the speed (slope) of subsequent Aβ deposition over time, and these associations remained robust when taking into account additional cofactors of interest (e.g., age, sex, sleep apnea). Moreover, these measures were specific, such that no other macro- and microphysiological architecture metrics of sleep demonstrated such sensitivity. Our data support the proposal that objective sleep markers could be part of a set of biomarkers that statistically forecast the longitudinal trajectory of cortical Aβ deposition in the human brain. Sleep may therefore represent a potentially affordable, scalable, repeatable, and non-invasive tool for quantifying of Aβ pathological progression, prior to cognitive symptoms of Alzheimer's disease (AD).
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Affiliation(s)
- Joseph R Winer
- Center for Human Sleep Science, Department of Psychology, University of California, Berkeley, Berkeley Way West, Berkeley, CA 94720, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, 101 The City Drive, Orange, CA 92697, USA
| | - Samika Kumar
- Center for Human Sleep Science, Department of Psychology, University of California, Berkeley, Berkeley Way West, Berkeley, CA 94720, USA
| | - Mark Reed
- Center for Human Sleep Science, Department of Psychology, University of California, Berkeley, Berkeley Way West, Berkeley, CA 94720, USA
| | - Suzanne L Baker
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - William J Jagust
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, 132 Barker Hall, Berkeley, CA 94720, USA
| | - Matthew P Walker
- Center for Human Sleep Science, Department of Psychology, University of California, Berkeley, Berkeley Way West, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, 132 Barker Hall, Berkeley, CA 94720, USA.
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144
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Chanisa C, Monchaya N, Anchisa K, Chetsadaporn P, Attapon J. Analysis of amyloid and tau deposition in Alzheimer's disease using 11C-Pittsburgh compound B and 18F-THK 5351 positron emission tomography imaging. World J Nucl Med 2020; 20:61-72. [PMID: 33850491 PMCID: PMC8034795 DOI: 10.4103/wjnm.wjnm_50_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 04/29/2020] [Accepted: 05/16/2020] [Indexed: 01/30/2023] Open
Abstract
This study aims to determine the deposition of 11C-Pittsburgh compound B (11C-PiB) and 18F-THK 5351 using a normal database of the optimal cut-off-points for standardized uptake value ratios (SUVRs) in Alzheimer's disease (AD) patients. Sixteen AD patients and 24 cognitively normal individuals were enrolled in this study. The optimal cutoff points for the SUVR from the normal database were used for quantitative analysis. P-mod software with the Automated Anatomical Labeling merged atlas was employed to generate automatic volumes of interest to identify different brain regions, and the SUVRs of AD patients were compared with those of the age-matched normal controls. The correlation between PiB and THK5351 deposition at matching brain regions was identified. The mean regional 11C-PiB SUVRs of the AD patients were significantly higher than the healthy controls (P < 0.05). The 11C-PiB SUVR cut-offs were 1.46–1.81, with sensitivity ranging from 81.25% to 93.75% and specificity of 100%. The mean SUVRs of 18F-THK 5351 in various regions were also significantly higher in the AD patients than in the healthy controls (P < 0.05). The inferior temporal gyrus yielded an optimum SUVR cut-off-points of 1.5 with 80% sensitivity and 83.33% specificity. The correlation of PiB and THK5351 SUVR was reported at precuneus, parietal, and occipital brain areas, with spearman's rho of 0.67, 0.66, and 0.72, respectively. Our findings allow determination of the SUVRs of 11C-PiB and 18F-THK-5351 amyloid and tau positron emission tomography tracers for clinical use, according to the normal database of the optimal cut-off-points for SUVRs in AD patients.
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Affiliation(s)
- Chotipanich Chanisa
- National Cyclotron and PET Centre, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand
| | - Nivorn Monchaya
- National Cyclotron and PET Centre, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand
| | - Kunawudhi Anchisa
- National Cyclotron and PET Centre, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand
| | | | - Jantarato Attapon
- National Cyclotron and PET Centre, Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand
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145
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Lopresti BJ, Campbell EM, Yu Z, Anderson SJ, Cohen AD, Minhas DS, Snitz BE, Royse SK, Becker CR, Aizenstein HJ, Mathis CA, Lopez OL, Klunk WE, Tudorascu DL. Influence of apolipoprotein-E genotype on brain amyloid load and longitudinal trajectories. Neurobiol Aging 2020; 94:111-120. [PMID: 32603776 PMCID: PMC7483397 DOI: 10.1016/j.neurobiolaging.2020.05.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 05/21/2020] [Accepted: 05/23/2020] [Indexed: 12/23/2022]
Abstract
To characterize the influence of apolipoprotein-E (APOE) genotype on cerebral Aβ load and longitudinal Aβ trajectories, [11C]Pittsburgh compound-B (PiB) positron emission tomography (PET) imaging was used to assess amyloid load in a clinically heterogeneous cohort of 428 elderly participants with known APOE genotype. Serial [11C]PiB data and a repeated measures model were used to model amyloid trajectories in a subset of 235 participants classified on the basis of APOE genotype. We found that APOE-ε4 was associated with increased Aβ burden and an earlier age of onset of Aβ positivity, whereas APOE-ε2 appeared to have modest protective effects against Aβ. APOE class did not predict rates of Aβ accumulation. The present study suggests that APOE modifies Alzheimer's disease risk through a direct influence on amyloidogenic processes, which manifests as an earlier age of onset of Aβ positivity, although it is likely that other genetic, environmental, and lifestyle factors are important.
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Affiliation(s)
- Brian J Lopresti
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Elizabeth M Campbell
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Zheming Yu
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Stewart J Anderson
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ann D Cohen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Davneet S Minhas
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Beth E Snitz
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sarah K Royse
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Carl R Becker
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Howard J Aizenstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Chester A Mathis
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Oscar L Lopez
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - William E Klunk
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dana L Tudorascu
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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146
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Gonneaud J, Bedetti C, Pichet Binette A, Benzinger TLS, Morris JC, Bateman RJ, Poirier J, Breitner JCS, Villeneuve S. Association of education with Aβ burden in preclinical familial and sporadic Alzheimer disease. Neurology 2020; 95:e1554-e1564. [PMID: 32759192 PMCID: PMC7713743 DOI: 10.1212/wnl.0000000000010314] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 03/23/2020] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE To determine whether years of education and the ε4 risk allele at APOE influence β-amyloid (Aβ) pathology similarly in asymptomatic individuals with a family history of sporadic Alzheimer disease (AD) and presymptomatic autosomal dominant AD mutation carriers. METHODS We analyzed cross-sectional data from 106 asymptomatic individuals with a parental history of sporadic AD (PREVENT-AD cohort; age 67.28 ± 4.72 years) and 117 presymptomatic autosomal dominant AD mutation carriers (DIAN cohort; age 35.04 ± 9.43 years). All participants underwent structural MRI and Aβ-PET imaging. In each cohort we investigated the influence of years of education, APOE ε4 status, and their interaction on Aβ-PET. RESULTS Asymptomatic individuals with a parental history of sporadic AD showed increased Aβ burden associated with APOE ε4 carriage and lower level of education, but no interaction between these. Presymptomatic mutation carriers of autosomal dominant AD showed no relation between APOE ε4 and Aβ burden, but increasing level of education was associated with reduced Aβ burden. The association between educational attainment and Aβ burden was similar in the 2 cohorts. CONCLUSIONS While the APOE ε4 allele confers increased tendency toward Aβ accumulation in sporadic AD only, protective environmental factors, like increased education, may promote brain resistance against Aβ pathology in both sporadic and autosomal dominant AD.
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Affiliation(s)
- Julie Gonneaud
- From the Department of Psychiatry (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), McGill University; Douglas Mental Health University Institute (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), StoP-AD Centre, Montreal, Canada; Knight Alzheimer's Disease Research Center (T.L.S.B., J.C.M., R.J.B.); and Washington University School of Medicine (T.L.S.B., J.C.M., R.J.B.), St. Louis, MO.
| | - Christophe Bedetti
- From the Department of Psychiatry (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), McGill University; Douglas Mental Health University Institute (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), StoP-AD Centre, Montreal, Canada; Knight Alzheimer's Disease Research Center (T.L.S.B., J.C.M., R.J.B.); and Washington University School of Medicine (T.L.S.B., J.C.M., R.J.B.), St. Louis, MO
| | - Alexa Pichet Binette
- From the Department of Psychiatry (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), McGill University; Douglas Mental Health University Institute (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), StoP-AD Centre, Montreal, Canada; Knight Alzheimer's Disease Research Center (T.L.S.B., J.C.M., R.J.B.); and Washington University School of Medicine (T.L.S.B., J.C.M., R.J.B.), St. Louis, MO
| | - Tammie L S Benzinger
- From the Department of Psychiatry (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), McGill University; Douglas Mental Health University Institute (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), StoP-AD Centre, Montreal, Canada; Knight Alzheimer's Disease Research Center (T.L.S.B., J.C.M., R.J.B.); and Washington University School of Medicine (T.L.S.B., J.C.M., R.J.B.), St. Louis, MO
| | - John C Morris
- From the Department of Psychiatry (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), McGill University; Douglas Mental Health University Institute (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), StoP-AD Centre, Montreal, Canada; Knight Alzheimer's Disease Research Center (T.L.S.B., J.C.M., R.J.B.); and Washington University School of Medicine (T.L.S.B., J.C.M., R.J.B.), St. Louis, MO
| | - Randall J Bateman
- From the Department of Psychiatry (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), McGill University; Douglas Mental Health University Institute (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), StoP-AD Centre, Montreal, Canada; Knight Alzheimer's Disease Research Center (T.L.S.B., J.C.M., R.J.B.); and Washington University School of Medicine (T.L.S.B., J.C.M., R.J.B.), St. Louis, MO
| | - Judes Poirier
- From the Department of Psychiatry (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), McGill University; Douglas Mental Health University Institute (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), StoP-AD Centre, Montreal, Canada; Knight Alzheimer's Disease Research Center (T.L.S.B., J.C.M., R.J.B.); and Washington University School of Medicine (T.L.S.B., J.C.M., R.J.B.), St. Louis, MO
| | - John C S Breitner
- From the Department of Psychiatry (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), McGill University; Douglas Mental Health University Institute (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), StoP-AD Centre, Montreal, Canada; Knight Alzheimer's Disease Research Center (T.L.S.B., J.C.M., R.J.B.); and Washington University School of Medicine (T.L.S.B., J.C.M., R.J.B.), St. Louis, MO
| | - Sylvia Villeneuve
- From the Department of Psychiatry (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), McGill University; Douglas Mental Health University Institute (J.G., C.B., A.P.B., J.P., J.C.S.B., S.V.), StoP-AD Centre, Montreal, Canada; Knight Alzheimer's Disease Research Center (T.L.S.B., J.C.M., R.J.B.); and Washington University School of Medicine (T.L.S.B., J.C.M., R.J.B.), St. Louis, MO.
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Grey zone amyloid burden affects memory function: the SCIENCe project. Eur J Nucl Med Mol Imaging 2020; 48:747-756. [PMID: 32888039 PMCID: PMC8036199 DOI: 10.1007/s00259-020-05012-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 08/20/2020] [Indexed: 12/24/2022]
Abstract
Purpose To determine thresholds for amyloid beta pathology and evaluate associations with longitudinal memory performance with the aim to identify a grey zone of early amyloid beta accumulation and investigate its clinical relevance. Methods We included 162 cognitively normal participants with subjective cognitive decline from the SCIENCe cohort (64 ± 8 years, 38% F, MMSE 29 ± 1). Each underwent a dynamic [18F] florbetapir PET scan, a T1-weighted MRI scan and longitudinal memory assessments (RAVLT delayed recall, n = 655 examinations). PET scans were visually assessed as amyloid positive/negative. Additionally, we calculated the mean binding potential (BPND) and standardized uptake value ratio (SUVr50–70) for an a priori defined composite region of interest. We determined six amyloid positivity thresholds using various data-driven methods (resulting thresholds: BPND 0.19/0.23/0.29; SUVr 1.28/1.34/1.43). We used Cohen’s kappa to analyse concordance between thresholds and visual assessment. Next, we used quantiles to divide the sample into two to five subgroups of equal numbers (median, tertiles, quartiles, quintiles), and operationalized a grey zone as the range between the thresholds (0.19–0.29 BPND/1.28–1.43 SUVr). We used linear mixed models to determine associations between thresholds and memory slope. Results As determined by visual assessment, 24% of 162 individuals were amyloid positive. Concordance with visual assessment was comparable but slightly higher for BPND thresholds (range kappa 0.65–0.70 versus 0.60–0.63). All thresholds predicted memory decline (range beta − 0.29 to − 0.21, all p < 0.05). Analyses in subgroups showed memory slopes gradually became steeper with higher amyloid load (all p for trend < 0.05). Participants with a low amyloid burden benefited from a practice effect (i.e. increase in memory), whilst high amyloid burden was associated with memory decline. Memory slopes of individuals in the grey zone were intermediate. Conclusion We provide evidence that not only high but also grey zone amyloid burden subtly impacts memory function. Therefore, in case a binary classification is required, we suggest using a relatively low threshold which includes grey zone amyloid pathology.
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148
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Rowley PA, Samsonov AA, Betthauser TJ, Pirasteh A, Johnson SC, Eisenmenger LB. Amyloid and Tau PET Imaging of Alzheimer Disease and Other Neurodegenerative Conditions. Semin Ultrasound CT MR 2020; 41:572-583. [PMID: 33308496 DOI: 10.1053/j.sult.2020.08.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Although diagnosing the syndrome of dementia is largely a clinical endeavor, neuroimaging plays an increasingly important role in accurately determining the underlying etiology, which extends beyond its traditional role in excluding other causes of altered cognition. New neuroimaging methods not only facilitate the diagnosis of the most common neurodegenerative conditions (particularly Alzheimer Disease [AD]) after symptom onset, but also show diagnostic promise even in the very early or presymptomatic phases of disease. Positron emission tomography (PET) is increasingly recognized as a key clinical tool for differentiating normal age-related changes in brain metabolism (using 18F-fluorodeoxyglucose [FDG]) from those seen in the earliest stages of specific forms of dementia. However, FDG PET only demonstrates nonspecific changes in altered parenchymal glucose uptake and not the specific etiologic proteinopathy causing the abnormal glucose uptake. A growing class of radiotracers targeting specific protein aggregates for amyloid-β (Aβ) and tau are changing the way AD is diagnosed, as these radiotracers directly label the underlying disease pathology. As these pathology-specific radiotracers are currently making their way to the clinic, it is important for the clinical neuroradiologist to understand the underlying patterns of Aβ and tau deposition in the context of AD (across its clinical continuum) and in other causes of dementia, as well as understand the implications of current research.
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Affiliation(s)
- Paul A Rowley
- Department of Radiology, University of Wisconsin, Madison, WI
| | | | | | - Ali Pirasteh
- Department of Radiology, University of Wisconsin, Madison, WI
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Dicks E, Vermunt L, van der Flier WM, Barkhof F, Scheltens P, Tijms BM. Grey matter network trajectories across the Alzheimer's disease continuum and relation to cognition. Brain Commun 2020; 2:fcaa177. [PMID: 33376987 PMCID: PMC7751002 DOI: 10.1093/braincomms/fcaa177] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 06/23/2020] [Accepted: 07/02/2020] [Indexed: 11/13/2022] Open
Abstract
Biomarkers are needed to monitor disease progression in Alzheimer's disease. Grey matter network measures have such potential, as they are related to amyloid aggregation in cognitively unimpaired individuals and to future cognitive decline in predementia Alzheimer's disease. Here, we investigated how grey matter network measures evolve over time within individuals across the entire Alzheimer's disease cognitive continuum and whether such changes relate to concurrent decline in cognition. We included 190 cognitively unimpaired, amyloid normal (controls) and 523 individuals with abnormal amyloid across the cognitive continuum (preclinical, prodromal, Alzheimer's disease dementia) from the Alzheimer's Disease Neuroimaging Initiative and calculated single-subject grey matter network measures (median of five networks per individual over 2 years). We fitted linear mixed models to investigate how network measures changed over time and whether such changes were associated with concurrent changes in memory, language, attention/executive functioning and on the Mini-Mental State Examination. We further assessed whether associations were modified by baseline disease stage. We found that both cognitive functioning and network measures declined over time, with steeper rates of decline in more advanced disease stages. In all cognitive stages, decline in network measures was associated with concurrent decline on the Mini-Mental State Examination, with stronger effects for individuals closer to Alzheimer's disease dementia. Decline in network measures was associated with concurrent cognitive decline in different cognitive domains depending on disease stage: In controls, decline in networks was associated with decline in memory and language functioning; preclinical Alzheimer's disease showed associations of decline in networks with memory and attention/executive functioning; prodromal Alzheimer's disease showed associations of decline in networks with cognitive decline in all domains; Alzheimer's disease dementia showed associations of decline in networks with attention/executive functioning. Decline in grey matter network measures over time accelerated for more advanced disease stages and was related to concurrent cognitive decline across the entire Alzheimer's disease cognitive continuum. These associations were disease stage dependent for the different cognitive domains, which reflected the respective cognitive stage. Our findings therefore suggest that grey matter measures are helpful to track disease progression in Alzheimer's disease.
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Affiliation(s)
- Ellen Dicks
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
| | - Lisa Vermunt
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands; Institutes of Neurology & Healthcare Engineering, UCL London, London WC1E, UK
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
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150
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Busche MA, Hyman BT. Synergy between amyloid-β and tau in Alzheimer's disease. Nat Neurosci 2020; 23:1183-1193. [PMID: 32778792 DOI: 10.1038/s41593-020-0687-6] [Citation(s) in RCA: 585] [Impact Index Per Article: 146.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 07/06/2020] [Indexed: 12/24/2022]
Abstract
Patients with Alzheimer's disease (AD) present with both extracellular amyloid-β (Aβ) plaques and intracellular tau-containing neurofibrillary tangles in the brain. For many years, the prevailing view of AD pathogenesis has been that changes in Aβ precipitate the disease process and initiate a deleterious cascade involving tau pathology and neurodegeneration. Beyond this 'triggering' function, it has been typically presumed that Aβ and tau act independently and in the absence of specific interaction. However, accumulating evidence now suggests otherwise and contends that both pathologies have synergistic effects. This could not only help explain negative results from anti-Aβ clinical trials but also suggest that trials directed solely at tau may need to be reconsidered. Here, drawing from extensive human and disease model data, we highlight the latest evidence base pertaining to the complex Aβ-tau interaction and underscore its crucial importance to elucidating disease pathogenesis and the design of next-generation AD therapeutic trials.
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Affiliation(s)
- Marc Aurel Busche
- UK Dementia Research Institute at UCL, University College London, London, UK.
| | - Bradley T Hyman
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Boston, USA
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