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Skampardoni I, Nasrallah IM, Abdulkadir A, Wen J, Melhem R, Mamourian E, Erus G, Doshi J, Singh A, Yang Z, Cui Y, Hwang G, Ren Z, Pomponio R, Srinivasan D, Govindarajan ST, Parmpi P, Wittfeld K, Grabe HJ, Bülow R, Frenzel S, Tosun D, Bilgel M, An Y, Marcus DS, LaMontagne P, Heckbert SR, Austin TR, Launer LJ, Sotiras A, Espeland MA, Masters CL, Maruff P, Fripp J, Johnson SC, Morris JC, Albert MS, Bryan RN, Yaffe K, Völzke H, Ferrucci L, Benzinger TL, Ezzati A, Shinohara RT, Fan Y, Resnick SM, Habes M, Wolk D, Shou H, Nikita K, Davatzikos C. Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals. JAMA Psychiatry 2024; 81:456-467. [PMID: 38353984 PMCID: PMC10867779 DOI: 10.1001/jamapsychiatry.2023.5599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 11/29/2023] [Indexed: 02/17/2024]
Abstract
Importance Brain aging elicits complex neuroanatomical changes influenced by multiple age-related pathologies. Understanding the heterogeneity of structural brain changes in aging may provide insights into preclinical stages of neurodegenerative diseases. Objective To derive subgroups with common patterns of variation in participants without diagnosed cognitive impairment (WODCI) in a data-driven manner and relate them to genetics, biomedical measures, and cognitive decline trajectories. Design, Setting, and Participants Data acquisition for this cohort study was performed from 1999 to 2020. Data consolidation and harmonization were conducted from July 2017 to July 2021. Age-specific subgroups of structural brain measures were modeled in 4 decade-long intervals spanning ages 45 to 85 years using a deep learning, semisupervised clustering method leveraging generative adversarial networks. Data were analyzed from July 2021 to February 2023 and were drawn from the Imaging-Based Coordinate System for Aging and Neurodegenerative Diseases (iSTAGING) international consortium. Individuals WODCI at baseline spanning ages 45 to 85 years were included, with greater than 50 000 data time points. Exposures Individuals WODCI at baseline scan. Main Outcomes and Measures Three subgroups, consistent across decades, were identified within the WODCI population. Associations with genetics, cardiovascular risk factors (CVRFs), amyloid β (Aβ), and future cognitive decline were assessed. Results In a sample of 27 402 individuals (mean [SD] age, 63.0 [8.3] years; 15 146 female [55%]) WODCI, 3 subgroups were identified in contrast with the reference group: a typical aging subgroup, A1, with a specific pattern of modest atrophy and white matter hyperintensity (WMH) load, and 2 accelerated aging subgroups, A2 and A3, with characteristics that were more distinct at age 65 years and older. A2 was associated with hypertension, WMH, and vascular disease-related genetic variants and was enriched for Aβ positivity (ages ≥65 years) and apolipoprotein E (APOE) ε4 carriers. A3 showed severe, widespread atrophy, moderate presence of CVRFs, and greater cognitive decline. Genetic variants associated with A1 were protective for WMH (rs7209235: mean [SD] B = -0.07 [0.01]; P value = 2.31 × 10-9) and Alzheimer disease (rs72932727: mean [SD] B = 0.1 [0.02]; P value = 6.49 × 10-9), whereas the converse was observed for A2 (rs7209235: mean [SD] B = 0.1 [0.01]; P value = 1.73 × 10-15 and rs72932727: mean [SD] B = -0.09 [0.02]; P value = 4.05 × 10-7, respectively); variants in A3 were associated with regional atrophy (rs167684: mean [SD] B = 0.08 [0.01]; P value = 7.22 × 10-12) and white matter integrity measures (rs1636250: mean [SD] B = 0.06 [0.01]; P value = 4.90 × 10-7). Conclusions and Relevance The 3 subgroups showed distinct associations with CVRFs, genetics, and subsequent cognitive decline. These subgroups likely reflect multiple underlying neuropathologic processes and affect susceptibility to Alzheimer disease, paving pathways toward patient stratification at early asymptomatic stages and promoting precision medicine in clinical trials and health care.
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Affiliation(s)
- Ioanna Skampardoni
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
- School of Electrical and Computer Engineering, National Technical University of Athens, Greece
| | - Ilya M. Nasrallah
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Ahmed Abdulkadir
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Junhao Wen
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
- Laboratory of AI and Biomedical Science, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles
| | - Randa Melhem
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Elizabeth Mamourian
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Guray Erus
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Jimit Doshi
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Ashish Singh
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Zhijian Yang
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Yuhan Cui
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Gyujoon Hwang
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Zheng Ren
- Laboratory of AI and Biomedical Science, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles
| | - Raymond Pomponio
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Dhivya Srinivasan
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | | | - Paraskevi Parmpi
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
- German Centre for Neurodegenerative Diseases, Site Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
- German Centre for Neurodegenerative Diseases, Site Greifswald, Greifswald, Germany
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Daniel S. Marcus
- Department of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Pamela LaMontagne
- Department of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Susan R. Heckbert
- Cardiovascular Health Research Unit, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
| | - Thomas R. Austin
- Cardiovascular Health Research Unit, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
| | - Lenore J. Launer
- Neuroepidemiology Section, Intramural Research Program, National Institute on Aging, Bethesda, Maryland
| | - Aristeidis Sotiras
- Department of Radiology and Institute of Informatics, Washington University in St Louis, St Louis, Missouri
| | - Mark A. Espeland
- Sticht Centre for Healthy Aging and Alzheimer’s Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Colin L. Masters
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul Maruff
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, Australian e-Health Research Centre CSIRO, Brisbane, Queensland, Australia
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison
| | - John C. Morris
- Knight Alzheimer Disease Research Centre, Washington University in St Louis, St Louis, Missouri
| | - Marilyn S. Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - R. Nick Bryan
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Kristine Yaffe
- Departments of Neurology, Psychiatry and Epidemiology and Biostatistics, University of California San Francisco, San Francisco
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Ali Ezzati
- Department of Neurology, University of California, Irvine
| | - Russell T. Shinohara
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia
| | - Yong Fan
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Mohamad Habes
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, San Antonio
| | - David Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Haochang Shou
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia
| | - Konstantina Nikita
- School of Electrical and Computer Engineering, National Technical University of Athens, Greece
| | - Christos Davatzikos
- Centre for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia
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Li Y, Yen D, Hendrix RD, Gordon BA, Dlamini S, Barthélemy NR, Aschenbrenner AJ, Henson RL, Herries EM, Volluz K, Kirmess K, Eastwood S, Meyer M, Heller M, Jarrett L, McDade E, Holtzman DM, Benzinger TL, Morris JC, Bateman RJ, Xiong C, Schindler SE. Timing of Biomarker Changes in Sporadic Alzheimer's Disease in Estimated Years from Symptom Onset. Ann Neurol 2024; 95:951-965. [PMID: 38400792 PMCID: PMC11060905 DOI: 10.1002/ana.26891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/26/2023] [Accepted: 01/30/2024] [Indexed: 02/26/2024]
Abstract
OBJECTIVE A clock relating amyloid positron emission tomography (PET) to time was used to estimate the timing of biomarker changes in sporadic Alzheimer disease (AD). METHODS Research participants were included who underwent cerebrospinal fluid (CSF) collection within 2 years of amyloid PET. The ages at amyloid onset and AD symptom onset were estimated for each individual. The timing of change for plasma, CSF, imaging, and cognitive measures was calculated by comparing restricted cubic splines of cross-sectional data from the amyloid PET positive and negative groups. RESULTS The amyloid PET positive sub-cohort (n = 118) had an average age of 70.4 ± 7.4 years (mean ± standard deviation) and 16% were cognitively impaired. The amyloid PET negative sub-cohort (n = 277) included individuals with low levels of amyloid plaque burden at all scans who were cognitively unimpaired at the time of the scans. Biomarker changes were detected 15-19 years before estimated symptom onset for CSF Aβ42/Aβ40, plasma Aβ42/Aβ40, CSF pT217/T217, and amyloid PET; 12-14 years before estimated symptom onset for plasma pT217/T217, CSF neurogranin, CSF SNAP-25, CSF sTREM2, plasma GFAP, and plasma NfL; and 7-9 years before estimated symptom onset for CSF pT205/T205, CSF YKL-40, hippocampal volumes, and cognitive measures. INTERPRETATION The use of an amyloid clock enabled visualization and analysis of biomarker changes as a function of estimated years from symptom onset in sporadic AD. This study demonstrates that estimated years from symptom onset based on an amyloid clock can be used as a continuous staging measure for sporadic AD and aligns with findings in autosomal dominant AD. ANN NEUROL 2024;95:951-965.
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Affiliation(s)
- Yan Li
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel Yen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Rachel D. Hendrix
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian A. Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Sibonginkhosi Dlamini
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Nicolas R. Barthélemy
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Rachel L. Henson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Elizabeth M. Herries
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Katherine Volluz
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | | | | | | | - Maren Heller
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Lea Jarrett
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric McDade
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - David M. Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C. Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Chengjie Xiong
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Suzanne E. Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
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3
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Yang Z, Wen J, Erus G, Govindarajan ST, Melhem R, Mamourian E, Cui Y, Srinivasan D, Abdulkadir A, Parmpi P, Wittfeld K, Grabe HJ, Bülow R, Frenzel S, Tosun D, Bilgel M, An Y, Yi D, Marcus DS, LaMontagne P, Benzinger TL, Heckbert SR, Austin TR, Waldstein SR, Evans MK, Zonderman AB, Launer LJ, Sotiras A, Espeland MA, Masters CL, Maruff P, Fripp J, Toga A, O’Bryant S, Chakravarty MM, Villeneuve S, Johnson SC, Morris JC, Albert MS, Yaffe K, Völzke H, Ferrucci L, Bryan NR, Shinohara RT, Fan Y, Habes M, Lalousis PA, Koutsouleris N, Wolk DA, Resnick SM, Shou H, Nasrallah IM, Davatzikos C. Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures. medRxiv 2023:2023.12.29.23300642. [PMID: 38234857 PMCID: PMC10793523 DOI: 10.1101/2023.12.29.23300642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Brain aging is a complex process influenced by various lifestyle, environmental, and genetic factors, as well as by age-related and often co-existing pathologies. MRI and, more recently, AI methods have been instrumental in understanding the neuroanatomical changes that occur during aging in large and diverse populations. However, the multiplicity and mutual overlap of both pathologic processes and affected brain regions make it difficult to precisely characterize the underlying neurodegenerative profile of an individual from an MRI scan. Herein, we leverage a state-of-the art deep representation learning method, Surreal-GAN, and present both methodological advances and extensive experimental results that allow us to elucidate the heterogeneity of brain aging in a large and diverse cohort of 49,482 individuals from 11 studies. Five dominant patterns of neurodegeneration were identified and quantified for each individual by their respective (herein referred to as) R-indices. Significant associations between R-indices and distinct biomedical, lifestyle, and genetic factors provide insights into the etiology of observed variances. Furthermore, baseline R-indices showed predictive value for disease progression and mortality. These five R-indices contribute to MRI-based precision diagnostics, prognostication, and may inform stratification into clinical trials.
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Affiliation(s)
- Zhijian Yang
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Graduate Group in Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Junhao Wen
- Laboratory of AI and Biomedical Science (LABS), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Guray Erus
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sindhuja T. Govindarajan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Randa Melhem
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Mamourian
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yuhan Cui
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dhivya Srinivasan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ahmed Abdulkadir
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Paraskevi Parmpi
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University of Greifswald, Germany
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea
| | - Daniel S. Marcus
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Pamela LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Susan R. Heckbert
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Thomas R. Austin
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Shari R. Waldstein
- Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD, USA
| | - Michele K. Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Alan B. Zonderman
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Lenore J. Launer
- Neuroepidemiology Section, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, USA
| | - Aristeidis Sotiras
- Department of Radiology and Institute of Informatics, Washington University in St. Luis, St. Luis, MO63110, USA
| | - Mark A. Espeland
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Colin L. Masters
- Florey Institute, The University of Melbourne, Parkville, VIC, 3052, Australia
| | - Paul Maruff
- Florey Institute, The University of Melbourne, Parkville, VIC, 3052, Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, Australian e-Health Research Centre CSIRO, Brisbane, Queensland, Australia
| | - Arthur Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Sid O’Bryant
- Institute for Translational Research University of North Texas Health Science Center Fort Worth Texas USA
| | - Mallar M. Chakravarty
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
| | - Sylvia Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - John C. Morris
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Marilyn S. Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kristine Yaffe
- Departments of Neurology, Psychiatry and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Luigi Ferrucci
- Translational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital, 3001 S. Hanover Street, Baltimore, MD, USA
| | - Nick R. Bryan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Russell T. Shinohara
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Yong Fan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mohamad Habes
- Biggs Alzheimer’s Institute, University of Texas San Antonio Health Science Center, USA
| | - Paris Alexandros Lalousis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Nikolaos Koutsouleris
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Section for Precision Psychiatry, Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - David A. Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Haochang Shou
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ilya M. Nasrallah
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Li M, Li Y, Schindler SE, Yen D, Sutcliffe S, Babulal GM, Benzinger TL, Lenze EJ, Bateman RJ. Design and feasibility of an Alzheimer's disease blood test study in a diverse community-based population. Alzheimers Dement 2023; 19:5387-5398. [PMID: 37204806 PMCID: PMC10657331 DOI: 10.1002/alz.13125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/06/2023] [Accepted: 04/07/2023] [Indexed: 05/20/2023]
Abstract
INTRODUCTION Alzheimer's disease (AD) blood tests are likely to become increasingly important in clinical practice, but they need to be evaluated in diverse groups before use in the general population. METHODS This study enrolled a community-based sample of older adults in the St. Louis, Missouri, USA area. Participants completed a blood draw, Eight-Item Informant Interview to Differentiate Aging and Dementia (AD8® ), Montreal Cognitive Assessment (MoCA), and survey about their perceptions of the blood test. A subset of participants completed additional blood collection, amyloid positron emission tomography (PET), magnetic resonance imaging (MRI), and Clinical Dementia Rating (CDR® ). RESULTS Of the 859 participants enrolled in this ongoing study, 20.6% self-identified as Black or African American. The AD8 and MoCA correlated moderately with the CDR. The blood test was well accepted by the cohort, but it was perceived more positively by White and highly educated individuals. DISCUSSION Studying an AD blood test in a diverse population is feasible and may accelerate accurate diagnosis and implementation of effective treatments. HIGHLIGHTS A diverse group of older adults was recruited to evaluate a blood amyloid test. The enrollment rate was high and the blood test was well accepted by participants. Cognitive impairment screens have moderate performance in a diverse population. Alzheimer's disease blood tests are likely to be feasible for use in real-world settings.
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Affiliation(s)
- Melody Li
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- The Tracy Family Stable Isotope Labeling Quantitation Center for Neurodegenerative Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Yan Li
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- The Tracy Family Stable Isotope Labeling Quantitation Center for Neurodegenerative Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Suzanne E. Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Daniel Yen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Siobhan Sutcliffe
- Department of Surgery – Public Health Sciences, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Ganesh M. Babulal
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Tammie L.S. Benzinger
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Eric J. Lenze
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- The Tracy Family Stable Isotope Labeling Quantitation Center for Neurodegenerative Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
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5
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Nazeri A, Dehkharghanian T, Lindsay KE, LaMontagne P, Shimony JS, Benzinger TL, Sotiras A. The Spatial Patterns and Determinants of Cerebrospinal Fluid Circulation in the Human Brain. bioRxiv 2023:2023.08.13.553149. [PMID: 37645835 PMCID: PMC10462043 DOI: 10.1101/2023.08.13.553149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
The circulation of cerebrospinal fluid (CSF) is essential for maintaining brain homeostasis and clearance, and impairments in its flow can lead to various brain disorders. Recent studies have shown that CSF circulation can be interrogated using low b-value diffusion magnetic resonance imaging (low-b dMRI). Nevertheless, the spatial organization of intracranial CSF flow dynamics remains largely elusive. Here, we developed a whole-brain voxel-based analysis framework, termed CSF pseudo-diffusion spatial statistics (C Ψ SS ), to examine CSF mean pseudo-diffusivity (M Ψ ), a measure of CSF flow magnitude derived from low-b dMRI. We showed that intracranial CSF M Ψ demonstrates characteristic covariance patterns by employing seed-based correlation analysis. Importantly, we applied non-negative matrix factorization analysis to further elucidate the covariance patterns of CSF M Ψ in a hypothesis-free, data-driven way. We identified distinct CSF spaces that consistently displayed unique pseudo-diffusion characteristics across multiple imaging datasets. Our study revealed that age, sex, brain atrophy, ventricular anatomy, and cerebral perfusion differentially influence M Ψ across these CSF spaces. Notably, individuals with anomalous CSF flow patterns displayed incidental findings on multimodal neuroradiological examinations. Our work sets forth a new paradigm to study CSF flow, with potential applications in clinical settings.
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Affiliation(s)
- Arash Nazeri
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | | | - Kevin E. Lindsay
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Pamela LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Joshua S. Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Aristeidis Sotiras
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Institute of Informatics, Washington University School of Medicine, St. Louis, MO, USA
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6
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Salvadó G, Horie K, Barthélemy NR, Vogel JW, Binette AP, Chen CD, Aschenbrenner AJ, Gordon BA, Benzinger TL, Holtzman DM, Morris JC, Palmqvist S, Stomrud E, Janelidze S, Ossenkoppele R, Schindler SE, Bateman RJ, Hansson O. Novel CSF tau biomarkers can be used for disease staging of sporadic Alzheimer's disease. medRxiv 2023:2023.07.14.23292650. [PMID: 37503281 PMCID: PMC10370223 DOI: 10.1101/2023.07.14.23292650] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Biological staging of individuals with Alzheimer's disease (AD) may improve diagnostic and prognostic work-up of dementia in clinical practice and the design of clinical trials. Here, we created a staging model using the Subtype and Stage Inference (SuStaIn) algorithm by evaluating cerebrospinal fluid (CSF) amyloid-β (Aβ) and tau biomarkers in 426 participants from BioFINDER-2, that represent the entire spectrum of AD. The model composition and main analyses were replicated in 222 participants from the Knight ADRC cohort. SuStaIn revealed in the two cohorts that the data was best explained by a single biomarker sequence (one subtype), and that five CSF biomarkers (ordered: Aβ42/40, tau phosphorylation occupancies at the residues 217 and 205 [pT217/T217 and pT205/T205], microtubule-binding region of tau containing the residue 243 [MTBR-tau243], and total tau) were sufficient to create an accurate disease staging model. Increasing CSF stages (0-5) were associated with increased abnormality in other AD-related biomarkers, such as Aβ- and tau-PET, and aligned with different phases of longitudinal biomarker changes consistent with current models of AD progression. Higher CSF stages at baseline were associated with higher hazard ratio of clinical decline. Our findings indicate that a common pathophysiologic molecular pathway develops across all AD patients, and that a single CSF collection is sufficient to reliably indicate the presence of both AD pathologies and the degree and stage of disease progression.
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Affiliation(s)
- Gemma Salvadó
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Kanta Horie
- The Tracy Family SILQ Center, Washington University School of Medicine, St Louis, MO, United States
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Eisai Inc., Nutley, NJ, United States
| | - Nicolas R. Barthélemy
- The Tracy Family SILQ Center, Washington University School of Medicine, St Louis, MO, United States
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Jacob W. Vogel
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Clinical Science, Malmö, SciLifeLab, Lund University, Lund, Sweden
| | - Alexa Pichet Binette
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Charles D. Chen
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew J Aschenbrenner
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian A. Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - David M. Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C. Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Suzanne E. Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J. Bateman
- The Tracy Family SILQ Center, Washington University School of Medicine, St Louis, MO, United States
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
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7
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Xiong C, McCue LM, Buckles V, Grant E, Agboola F, Coble D, Bateman RJ, Fagan AM, Benzinger TL, Hassenstab J, Schindler SE, McDade E, Moulder K, Gordon BA, Cruchaga C, Day GS, Ikeuchi T, Suzuki K, Allegri RF, Vöglein J, Levin J, Morris JC. Cross-sectional and longitudinal comparisons of biomarkers and cognition among asymptomatic middle-aged individuals with a parental history of either autosomal dominant or late-onset Alzheimer's disease. Alzheimers Dement 2023; 19:2923-2932. [PMID: 36640138 PMCID: PMC10345163 DOI: 10.1002/alz.12912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 11/21/2022] [Accepted: 11/23/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND Comparisons of late-onset Alzheimer's disease (LOAD) and autosomal dominant AD (ADAD) are confounded by age. METHODS We compared biomarkers from cerebrospinal fluid (CSF), magnetic resonance imaging, and amyloid imaging with Pittsburgh Compound-B (PiB) across four groups of 387 cognitively normal participants, 42 to 65 years of age, in the Dominantly Inherited Alzheimer Network (DIAN) and the Adult Children Study (ACS) of LOAD: DIAN mutation carriers (MCs) and non-carriers (NON-MCs), and ACS participants with a positive (FH+) and negative (FH-) family history of LOAD. RESULTS At baseline, MCs had the lowest age-adjusted level of CSF Aβ42 and the highest levels of total and phosphorylated tau-181, and PiB uptake. Longitudinally, MC had similar increase in PiB uptake to FH+, but drastically faster decline in hippocampal volume than others, and was the only group showing cognitive decline. DISCUSSION Preclinical ADAD and LOAD share many biomarker signatures, but cross-sectional and longitudinal differences may exist.
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Affiliation(s)
- Chengjie Xiong
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Lena M. McCue
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Virginia Buckles
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Elizabeth Grant
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Folasade Agboola
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Dean Coble
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Randall J. Bateman
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Anne M Fagan
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Tammie L.S. Benzinger
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Radiology, Washington University, St. Louis, Missouri, USA
- Department of Neurological Surgery, Washington University, St. Louis, Missouri, USA
| | - Jason Hassenstab
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
- Department of Psychology, Washington University, St. Louis, Missouri, USA
| | - Suzanne E. Schindler
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Eric McDade
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Krista Moulder
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Brian A. Gordon
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Psychology, Washington University, St. Louis, Missouri, USA
- Department of Radiology, Washington University, St. Louis, Missouri, USA
| | - Carlos Cruchaga
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- Department of Psychiatry, Washington University, St. Louis, Missouri, USA
| | - Gregory S. Day
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, FL, USA
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, JAPAN
| | | | | | - Jonathan Vöglein
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - John C. Morris
- Knight Alzheimer Disease Research Center, Washington University, St. Louis, Missouri, USA
- The Dominantly Inherited Alzheimer Network, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
- Department of Pathology and Immunology, Washington University, St. Louis, Missouri, USA
- Department of Physical Therapy, Washington University, St. Louis, Missouri, USA
- Department of Occupational Therapy, Washington University, St. Louis, Missouri, USA
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8
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Chatterjee P, Vermunt L, Gordon BA, Pedrini S, Boonkamp L, Armstrong NJ, Xiong C, Singh AK, Li Y, Sohrabi HR, Taddei K, Molloy MP, Benzinger TL, Morris JC, Karch CM, Berman SB, Chhatwal J, Cruchaga C, Graff-Radford NR, Day GS, Farlow M, Fox NC, Goate AM, Hassenstab J, Lee JH, Levin J, McDade E, Mori H, Perrin RJ, Sanchez-Valle R, Schofield PR, Levey A, Jucker M, Masters CL, Fagan AM, Bateman RJ, Martins RN, Teunissen CE. Plasma glial fibrillary acidic protein in autosomal dominant Alzheimer's disease: Associations with Aβ-PET, neurodegeneration, and cognition. Alzheimers Dement 2023; 19:2790-2804. [PMID: 36576155 PMCID: PMC10300233 DOI: 10.1002/alz.12879] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/22/2022] [Accepted: 10/21/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND Glial fibrillary acidic protein (GFAP) is a promising candidate blood-based biomarker for Alzheimer's disease (AD) diagnosis and prognostication. The timing of its disease-associated changes, its clinical correlates, and biofluid-type dependency will influence its clinical utility. METHODS We evaluated plasma, serum, and cerebrospinal fluid (CSF) GFAP in families with autosomal dominant AD (ADAD), leveraging the predictable age at symptom onset to determine changes by stage of disease. RESULTS Plasma GFAP elevations appear a decade before expected symptom onset, after amyloid beta (Aβ) accumulation and prior to neurodegeneration and cognitive decline. Plasma GFAP distinguished Aβ-positive from Aβ-negative ADAD participants and showed a stronger relationship with Aβ load in asymptomatic than symptomatic ADAD. Higher plasma GFAP was associated with the degree and rate of neurodegeneration and cognitive impairment. Serum GFAP showed similar relationships, but these were less pronounced for CSF GFAP. CONCLUSION Our findings support a role for plasma GFAP as a clinical biomarker of Aβ-related astrocyte reactivity that is associated with cognitive decline and neurodegeneration. HIGHLIGHTS Plasma glial fibrillary acidic protein (GFAP) elevations appear a decade before expected symptom onset in autosomal dominant Alzheimer's disease (ADAD). Plasma GFAP was associated to amyloid positivity in asymptomatic ADAD. Plasma GFAP increased with clinical severity and predicted disease progression. Plasma and serum GFAP carried similar information in ADAD, while cerebrospinal fluid GFAP did not.
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Affiliation(s)
- Pratishtha Chatterjee
- Macquarie Medical School, Macquarie University, North Ryde, NSW 2019, Australia; School of Medical Sciences, Edith Cowan University, Sarich Neuroscience Research Institute, Nedlands, WA 6009, Australia
| | - Lisa Vermunt
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, programme Neurodegeneration, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Brian A. Gordon
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Steve Pedrini
- School of Medical Sciences, Edith Cowan University, Sarich Neuroscience Research Institute, Nedlands, WA 6009, Australia
| | - Lynn Boonkamp
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, programme Neurodegeneration, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Nicola J. Armstrong
- Department of Mathematics & Statistics, Curtin University, Bentley, WA, Australia
| | - Chengjie Xiong
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA; Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Abhay K. Singh
- Macquarie Business School, Macquarie University, North Ryde, NSW, Australia
| | - Yan Li
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Hamid R. Sohrabi
- Department of Biomedical Sciences, Macquarie University, North Ryde, NSW 2019, Australia; School of Medical Sciences, Edith Cowan University, Sarich Neuroscience Research Institute, Nedlands, WA 6009, Australia; School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, WA, Australia; Australian Alzheimer’s Research Foundation, Nedlands, WA, Australia; Centre for Healthy Ageing, Health Future Institute, Murdoch University, Murdoch, WA, Australia
| | - Kevin Taddei
- School of Medical Sciences, Edith Cowan University, Sarich Neuroscience Research Institute, Nedlands, WA 6009, Australia; Australian Alzheimer’s Research Foundation, Nedlands, WA, Australia
| | - Mark P. Molloy
- Bowel Cancer and Biomarker Laboratory, Kolling Institute, The University of Sydney, St Leonards, NSW, Australia; Australian Proteome Analysis Facility, Macquarie University, North Ryde, NSW, Australia
| | - Tammie L.S. Benzinger
- Department of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - John C. Morris
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Celeste M. Karch
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Sarah B. Berman
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jasmeer Chhatwal
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Carlos Cruchaga
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Gregory S Day
- Department of Neurology, Mayo Clinic Jacksonville, Jacksonville, FL, USA
| | - Martin Farlow
- Department of Neurology, Indiana University, Indianapolis, IN, USA
| | - Nick C. Fox
- Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Alison M. Goate
- Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Jae-Hong Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul05505, Republic of Korea
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Eric McDade
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Hiroshi Mori
- Osaka Metropolitan University, Nagaoka Sutoku University, Osaka, Japan
| | - Richard J. Perrin
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA; Dominantly Inherited Alzheimer Network, Washington University School of Medicine, St. Louis, MO, USA; Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Raquel Sanchez-Valle
- Alzheimer’s Disease and other Cognitive Disorders Unit, Neurology Service, Hospital Clinic, Barcelona, Spain
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia; School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Allan Levey
- Department of Neurology, Emory University, Atlanta, GA, USA
| | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany. Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; University of Melbourne, Melbourne, Victoria, Australia
| | - Anne M. Fagan
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Randall J. Bateman
- Dominantly Inherited Alzheimer Network, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Ralph N. Martins
- Macquarie Medical School, Macquarie University, North Ryde, NSW 2019, Australia; School of Medical Sciences, Edith Cowan University, Sarich Neuroscience Research Institute, Nedlands, WA 6009, Australia; The Cooperative Research Centre for Mental Health, Carlton South, Australia; KaRa Institute of Neurological Disease, Sydney, Macquarie Park, Australia; Australian Alzheimer’s Research Foundation, Nedlands, WA, Australia
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, programme Neurodegeneration, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
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9
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Hartz SM, Mozersky J, Schindler SE, Linnenbringer E, Wang J, Gordon BA, Raji CA, Moulder KL, West T, Benzinger TL, Cruchaga C, Hassenstab JJ, Bierut LJ, Xiong C, Morris JC. A flexible modeling approach for biomarker-based computation of absolute risk of Alzheimer's disease dementia. Alzheimers Dement 2023; 19:1452-1465. [PMID: 36178120 PMCID: PMC10060442 DOI: 10.1002/alz.12781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 06/15/2022] [Accepted: 07/21/2022] [Indexed: 01/19/2023]
Abstract
INTRODUCTION As Alzheimer's disease (AD) biomarkers rapidly develop, tools are needed that accurately and effectively communicate risk of AD dementia. METHODS We analyzed longitudinal data from >10,000 cognitively unimpaired older adults. Five-year risk of AD dementia was modeled using survival analysis. RESULTS A demographic model was developed and validated on independent data with area under the receiver operating characteristic curve (AUC) for 5-year prediction of AD dementia of 0.79. Clinical and cognitive variables (AUC = 0.79), and apolipoprotein E genotype (AUC = 0.76) were added to the demographic model. We then incorporated the risk computed from the demographic model with hazard ratios computed from independent data for amyloid positron emission tomography status and magnetic resonance imaging hippocampal volume (AUC = 0.84), and for plasma amyloid beta (Aβ)42/Aβ40 (AUC = 0.82). DISCUSSION An adaptive tool was developed and validated to compute absolute risks of AD dementia. This approach allows for improved accuracy and communication of AD risk among cognitively unimpaired older adults.
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Affiliation(s)
- Sarah M. Hartz
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jessica Mozersky
- Washington University School of Medicine, St. Louis, Missouri, USA
| | | | | | - Junwei Wang
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Brian A. Gordon
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Cyrus A. Raji
- Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Tim West
- C2N Diagnostics, St. Louis, Missouri USA
| | | | - Carlos Cruchaga
- Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Laura J. Bierut
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Chengjie Xiong
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - John C. Morris
- Washington University School of Medicine, St. Louis, Missouri, USA
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10
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Chen CD, Ponisio MR, Lang JA, Flores S, Schindler SE, Fagan AM, Morris JC, Benzinger TL. Comparing Tau PET Visual Interpretation with Tau PET Quantification, Cerebrospinal Fluid Biomarkers, and Longitudinal Clinical Assessment. J Alzheimers Dis 2023; 93:765-777. [PMID: 37092225 PMCID: PMC10200228 DOI: 10.3233/jad-230032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND 18F-flortaucipir PET received FDA approval to visualize aggregated neurofibrillary tangles (NFTs) in brains of adult patients with cognitive impairment being evaluated for Alzheimer's disease (AD). However, manufacturer's guidelines for visual interpretation of 18F-flortaucipir PET differ from how 18F-flortaucipir PET has been measured in research settings using standardized uptake value ratios (SUVRs). How visual interpretation relates to 18F-flortaucipir PET SUVR, cerebrospinal fluid (CSF) biomarkers, or longitudinal clinical assessment is not well understood. OBJECTIVE We compare various diagnostic methods in participants enrolled in longitudinal observational studies of aging and memory (n = 189, 23 were cognitively impaired). METHODS Participants had tau PET, Aβ PET, MRI, and clinical and cognitive evaluation within 18 months (n = 189); the majority (n = 144) also underwent lumbar puncture. Two radiologists followed manufacturer's guidelines for 18F-flortaucipir PET visual interpretation. RESULTS Visual interpretation had high agreement with SUVR (98.4%)and moderate agreement with CSF p-tau181 (86.1%). Two participants demonstrated 18F-flortaucipir uptake from meningiomas. Visual interpretation could not predict follow-up clinical assessment in 9.52% of cases. CONCLUSION Visual interpretation was highly consistent with SUVR (discordant participants had hemorrhagic infarcts or occipital-predominant AD NFT deposition) and moderately consistent with CSF p-tau181 (discordant participants had AD pathophysiology not detectable on tau PET). However, close association between AD NFT deposition and clinical onset in group-level studies does not necessarily hold at the individual level, with discrepancies arising from atypical AD, vascular dementia, or frontotemporal dementia. A better understanding of relationships across imaging, CSF biomarkers, and clinical assessment is needed to provide appropriate diagnoses for these individuals.
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Affiliation(s)
- Charles D. Chen
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Maria Rosana Ponisio
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Jordan A. Lang
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Shaney Flores
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Anne M. Fagan
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - John C. Morris
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
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Wisch JK, Gordon BA, Boerwinkle AH, Luckett PH, Bollinger JG, Ovod V, Li Y, Henson RL, West T, Meyer MR, Kirmess KM, Benzinger TL, Fagan AM, Morris JC, Bateman RJ, Ances BM, Schindler SE. Predicting continuous amyloid PET values with CSF and plasma Aβ42/Aβ40. Alzheimers Dement (Amst) 2023; 15:e12405. [PMID: 36874595 PMCID: PMC9980305 DOI: 10.1002/dad2.12405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/14/2022] [Accepted: 01/19/2023] [Indexed: 03/06/2023]
Abstract
Introduction Continuous measures of amyloid burden as measured by positron emission tomography (PET) are being used increasingly to stage Alzheimer's disease (AD). This study examined whether cerebrospinal fluid (CSF) and plasma amyloid beta (Aβ)42/Aβ40 could predict continuous values for amyloid PET. Methods CSF Aβ42 and Aβ40 were measured with automated immunoassays. Plasma Aβ42 and Aβ40 were measured with an immunoprecipitation-mass spectrometry assay. Amyloid PET was performed with Pittsburgh compound B (PiB). The continuous relationships of CSF and plasma Aβ42/Aβ40 with amyloid PET burden were modeled. Results Most participants were cognitively normal (427 of 491 [87%]) and the mean age was 69.0 ± 8.8 years. CSF Aβ42/Aβ40 predicted amyloid PET burden until a relatively high level of amyloid accumulation (69.8 Centiloids), whereas plasma Aβ42/Aβ40 predicted amyloid PET burden until a lower level (33.4 Centiloids). Discussion CSF Aβ42/Aβ40 predicts the continuous level of amyloid plaque burden over a wider range than plasma Aβ42/Aβ40 and may be useful in AD staging. Highlights Cerebrospinal fluid (CSF) amyloid beta (Aβ)42/Aβ40 predicts continuous amyloid positron emission tomography (PET) values up to a relatively high burden.Plasma Aβ42/Aβ40 is a comparatively dichotomous measure of brain amyloidosis.Models can predict regional amyloid PET burden based on CSF Aβ42/Aβ40.CSF Aβ42/Aβ40 may be useful in staging AD.
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Affiliation(s)
- Julie K. Wisch
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
| | - Brian A. Gordon
- Department of RadiologyWashington University in Saint LouisSt. LouisMissouriUSA
- Hope CenterWashington University in Saint LouisSt. LouisMissouriUSA
- Knight Alzheimer Disease Research CenterWashington University School of MedicineSt LouisMissouriUSA
| | - Anna H. Boerwinkle
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
| | - Patrick H. Luckett
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
| | - James G. Bollinger
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
- The Tracy Family SILQ Center for Neurodegenerative BiologySt. LouisMissouriUSA
| | - Vitaliy Ovod
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
- The Tracy Family SILQ Center for Neurodegenerative BiologySt. LouisMissouriUSA
| | - Yan Li
- Department of RadiologyWashington University in Saint LouisSt. LouisMissouriUSA
| | - Rachel L. Henson
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
| | - Tim West
- C2N DiagnosticsSt. LouisMissouriUSA
| | | | | | - Tammie L.S. Benzinger
- Department of RadiologyWashington University in Saint LouisSt. LouisMissouriUSA
- Knight Alzheimer Disease Research CenterWashington University School of MedicineSt LouisMissouriUSA
| | - Anne M. Fagan
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
- Knight Alzheimer Disease Research CenterWashington University School of MedicineSt LouisMissouriUSA
| | - John C. Morris
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
- Knight Alzheimer Disease Research CenterWashington University School of MedicineSt LouisMissouriUSA
| | - Randall J. Bateman
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
- The Tracy Family SILQ Center for Neurodegenerative BiologySt. LouisMissouriUSA
| | - Beau M. Ances
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
- Department of RadiologyWashington University in Saint LouisSt. LouisMissouriUSA
- Hope CenterWashington University in Saint LouisSt. LouisMissouriUSA
- Knight Alzheimer Disease Research CenterWashington University School of MedicineSt LouisMissouriUSA
| | - Suzanne E. Schindler
- Department of NeurologyWashington University in Saint LouisSt. LouisMissouriUSA
- Knight Alzheimer Disease Research CenterWashington University School of MedicineSt LouisMissouriUSA
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12
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Luckett PH, Chen C, Gordon BA, Wisch J, Berman SB, Chhatwal JP, Cruchaga C, Fagan AM, Farlow MR, Fox NC, Jucker M, Levin J, Masters CL, Mori H, Noble JM, Salloway S, Schofield PR, Brickman AM, Brooks WS, Cash DM, Fulham MJ, Ghetti B, Jack CR, Vöglein J, Klunk WE, Koeppe R, Su Y, Weiner M, Wang Q, Marcus D, Koudelis D, Mathurin NJ, Cash L, Hornbeck R, Xiong C, Perrin RJ, Karch CM, Hassenstab J, McDade E, Morris JC, Benzinger TL, Bateman RJ, Ances BM. Biomarker clustering in autosomal dominant Alzheimer's disease. Alzheimers Dement 2023; 19:274-284. [PMID: 35362200 PMCID: PMC9525451 DOI: 10.1002/alz.12661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 02/20/2022] [Accepted: 02/22/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION As the number of biomarkers used to study Alzheimer's disease (AD) continues to increase, it is important to understand the utility of any given biomarker, as well as what additional information a biomarker provides when compared to others. METHODS We used hierarchical clustering to group 19 cross-sectional biomarkers in autosomal dominant AD. Feature selection identified biomarkers that were the strongest predictors of mutation status and estimated years from symptom onset (EYO). Biomarkers identified included clinical assessments, neuroimaging, cerebrospinal fluid amyloid, and tau, and emerging biomarkers of neuronal integrity and inflammation. RESULTS Three primary clusters were identified: neurodegeneration, amyloid/tau, and emerging biomarkers. Feature selection identified amyloid and tau measures as the primary predictors of mutation status and EYO. Emerging biomarkers of neuronal integrity and inflammation were relatively weak predictors. DISCUSSION These results provide novel insight into our understanding of the relationships among biomarkers and the staging of biomarkers based on disease progression.
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Affiliation(s)
| | - Charlie Chen
- Washington University in St. Louis, St. Louis, Missouri, USA
| | - Brian A. Gordon
- Washington University in St. Louis, St. Louis, Missouri, USA
| | - Julie Wisch
- Washington University in St. Louis, St. Louis, Missouri, USA
| | | | - Jasmeer P. Chhatwal
- Brigham and Women’s Hospital, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Carlos Cruchaga
- Washington University in St. Louis, St. Louis, Missouri, USA
| | - Anne M. Fagan
- Washington University in St. Louis, St. Louis, Missouri, USA
| | | | - Nick C. Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Mathias Jucker
- German Center for Neurodegenerative Disease, Tübingen, Germany
- Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Colin L. Masters
- Florey Institute, The University of Melbourne, Parkville, Victoria, Australia
| | - Hiroshi Mori
- Osaka City University Medical School, Nagaoka Sutoku University, Abenoku, Osaka, Japan
| | - James M. Noble
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, G.H. Sergievsky Center, and Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Stephen Salloway
- Butler Hospital and Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Peter R. Schofield
- Neuroscience Research Australia, Randwick, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Adam M. Brickman
- Department of Molecular Imaging, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - William S. Brooks
- Neuroscience Research Australia, Randwick, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - David M. Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Michael J. Fulham
- Department of Molecular Imaging, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | | | | | - Jonathan Vöglein
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | | | | | - Yi Su
- Banner Alzheimer Institute, Phoenix, Arizona, USA
| | - Michael Weiner
- University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Qing Wang
- Washington University in St. Louis, St. Louis, Missouri, USA
| | - Daniel Marcus
- Washington University in St. Louis, St. Louis, Missouri, USA
| | | | | | - Lisa Cash
- Washington University in St. Louis, St. Louis, Missouri, USA
| | - Russ Hornbeck
- Washington University in St. Louis, St. Louis, Missouri, USA
| | - Chengjie Xiong
- Washington University in St. Louis, St. Louis, Missouri, USA
| | | | | | | | - Eric McDade
- Washington University in St. Louis, St. Louis, Missouri, USA
| | - John C. Morris
- Washington University in St. Louis, St. Louis, Missouri, USA
| | | | | | - Beau M. Ances
- Washington University in St. Louis, St. Louis, Missouri, USA
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Rahmani F, Ghezzi L, Tosti V, Liu J, Song SK, Wu AT, Rajamanickam J, Obert KA, Benzinger TL, Mittendorfer B, Piccio L, Raji CA. Twelve Weeks of Intermittent Caloric Restriction Diet Mitigates Neuroinflammation in Midlife Individuals with Multiple Sclerosis: A Pilot Study with Implications for Prevention of Alzheimer's Disease. J Alzheimers Dis 2023; 93:263-273. [PMID: 37005885 PMCID: PMC10460547 DOI: 10.3233/jad-221007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is a prototype neuroinflammatory disorder with increasingly recognized role for neurodegeneration. Most first-line treatments cannot prevent the progression of neurodegeneration and the resultant disability. Interventions can improve symptoms of MS and might provide insights into the underlying pathology. OBJECTIVE To investigate the effect of intermittent caloric restriction on neuroimaging markers of MS. METHODS We randomized ten participants with relapsing remitting MS to either a 12-week intermittent calorie restriction (iCR) diet (n = 5) or control (n = 5). Cortical thickness and volumes were measured through FreeSurfer, cortical perfusion was measured by arterial spin labeling and neuroinflammation through diffusion basis spectrum imaging. RESULTS After 12 weeks of iCR, brain volume increased in the left superior and inferior parietal gyri (p: 0.050 and 0.049, respectively) and the banks of the superior temporal sulcus (p: 0.01). Similarly in the iCR group, cortical thickness improved in the bilateral medial orbitofrontal gyri (p: 0.04 and 0.05 in right and left, respectively), the left superior temporal gyrus (p: 0.03), and the frontal pole (p: 0.008) among others. Cerebral perfusion decreased in the bilateral fusiform gyri (p: 0.047 and 0.02 in right and left, respectively) and increased in the bilateral deep anterior white matter (p: 0.03 and 0.013 in right and left, respectively). Neuroinflammation, demonstrated through hindered and restricted water fractions (HF and RF), decreased in the left optic tract (HF p: 0.02), and the right extreme capsule (RF p: 0.007 and HF p: 0.003). CONCLUSION These pilot data suggest therapeutic effects of iCR in improving cortical volume and thickness and mitigating neuroinflammation in midlife adults with MS.
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Affiliation(s)
- Farzaneh Rahmani
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Laura Ghezzi
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Valeria Tosti
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Jingxia Liu
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Sheng-Kwei Song
- Department of Physics, Washington University in St. Louis, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | - Anthony T. Wu
- Department of Physics, Washington University in St. Louis, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | - Jayashree Rajamanickam
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Kathleen A. Obert
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in St Louis, St. Louis, MO, USA
| | - Bettina Mittendorfer
- Department of Medicine, Division of Geriatrics and Nutritional Science, Washington University in St. Louis, St. Louis, MO, USA
| | - Laura Piccio
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
- Brain and Mind Centre, School of Medical Sciences, The University of Sydney, NSW, Australia
- Charles Perkin Centre, The University of Sydney NSW, Australia
| | - Cyrus A. Raji
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in St Louis, St. Louis, MO, USA
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14
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Gordon BA, Flores S, Dincer A, Keefe SJ, McKay NS, Hobbs DA, Wisch JK, Hornbeck RC, Franklin EE, Jack CR, Koeppe RA, Xiong C, McDade E, van Dyck CH, Klein G, Pariente J, Bateman RJ, Morris JC, Perrin RJ, Benzinger TL. Examining the effects of age and sex on tau PET binding in the absence of beta‐amyloid pathology. Alzheimers Dement 2022. [DOI: 10.1002/alz.063285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Shaney Flores
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Aylin Dincer
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Sarah J. Keefe
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Diana A. Hobbs
- Washington University School of Medicine St. Louis MO USA
| | - Julie K. Wisch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Russ C. Hornbeck
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Erin E. Franklin
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | - Chengjie Xiong
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Eric McDade
- Washington University School of Medicine St. Louis MO USA
| | | | - Gregory Klein
- Pharma Research and Early Development, F. Hoffmann‐La Roche Ltd. Basel Switzerland
| | | | | | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Richard J. Perrin
- Washington University in St. Louis School of Medicine St. Louis MO USA
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15
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Gordon BA, Wisch JK, Hobbs DA, McKay NS, Schultz SA, Flores S, Dincer A, Keefe SJ, Ances BM, Morris JC, Schindler SE, Fagan AM, Benzinger TL. Comparing neuroimaging and cerebrospinal fluid markers of amyloid, tau, and neurodegenerative biomarkers: implications for understanding the biology of the disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.062634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Julie K. Wisch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Diana A. Hobbs
- Washington University School of Medicine St. Louis MO USA
| | | | - Stephanie A. Schultz
- Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
| | - Shaney Flores
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Aylin Dincer
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Sarah J. Keefe
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Beau M Ances
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Anne M. Fagan
- Washington University in St. Louis School of Medicine St. Louis MO USA
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16
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McKay NS, Hobbs DA, Doering S, Campbell CC, Kwak I, Mei B, Keefe SJ, Flores S, Hornbeck RC, Chen G, Renton AE, Cruchaga C, Bateman RJ, McDade E, Hassenstab JJ, Morris JC, Gordon BA, Benzinger TL. Differential impact of APOE genetic variants on autosomal dominant‐ and sporadic‐ Alzheimer disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.068309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Nicole S. McKay
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Diana A. Hobbs
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Stephanie Doering
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | | | - Iris Kwak
- New York Medical College New York NY USA
| | - Bochun Mei
- Washington University in St. Louis St. Louis MO USA
| | - Sarah J. Keefe
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Shaney Flores
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Russ C. Hornbeck
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Gengsheng Chen
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Alan E. Renton
- Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York NY USA
| | - Carlos Cruchaga
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Randall J. Bateman
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Eric McDade
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Jason J. Hassenstab
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - John C. Morris
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Brian A. Gordon
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Tammie L.S. Benzinger
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
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17
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Xiong C, Wolk DA, Lah JJ, Gleason CE, Roberson ED, Benzinger TL, Schindler SE, Fagan AM, Hassenstab JJ, Moulder KL, Balls‐Berry JE, Sperling RA, Johnson KA, Levey AI, Johnson SC, Luo J, Gremminger E, Agboola F, Grant EA, Ances BM, Gordon BA, Hornbeck RC, Massoumzadeh P, Keefe SJ, Dierker D, Gray JD, Andrews J, Henson RL, Streitz M, Manzanares C, Qiu D, Mechanic‐Hamilton D, Stites SD, Shaw LM, Midgett S, Morris JC. SORTOUT‐AB: A Study of Race to Understand Alzheimer Biomarkers. Alzheimers Dement 2022. [DOI: 10.1002/alz.066301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Chengjie Xiong
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Department of Biostatistics, Washington University St. Louis MO USA
| | - David A. Wolk
- Penn Alzheimer’s Disease Research Center, University of Pennsylvania Philadelphia PA USA
| | - James J. Lah
- Emory Goizueta Alzheimer's Disease Research Center Atlanta GA USA
| | - Carey E. Gleason
- University of Wisconsin School of Medicine and Public Health Madison WI USA
- Geriatric Research, Education, and Clinical Center (GRECC), Middleton Memorial Veterans Hospital Madison WI USA
- University of Wisconsin School of Medicine and Public Health Alzheimer's Disease Research Center Madison WI USA
| | - Erik D Roberson
- Department of Neurology, University of Alabama at Birmingham Birmingham AL USA
| | - Tammie L.S. Benzinger
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Mallinckrodt Institute of Radiology Saint Louis MO USA
| | | | - Anne M. Fagan
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | | | | | | | | | | | - Allan I. Levey
- Emory Goizueta Alzheimer's Disease Research Center Atlanta GA USA
| | - Sterling C. Johnson
- William S. Middleton Memorial Veterans Hospital Madison WI USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin‐Madison Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Jingqin Luo
- Department of Surgery, Washington University St. Louis MO USA
| | - Emily Gremminger
- Division of Biostatistics, Washington University School of Medic St. Louis MO USA
| | | | | | - Beau M Ances
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University at St. Louis, Department of Neurology St. Louis MO USA
| | - Brian A. Gordon
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Washington University School of Medicine St. Louis MO USA
| | - Russ C. Hornbeck
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Sarah J. Keefe
- Washington University School of Medicine St. Louis MO USA
| | - Donna Dierker
- Washington University School of Medic St. Louis MO USA
| | - Julia D Gray
- Washington University School of Medicine St. Louis MO USA
| | | | | | | | - Cecelia Manzanares
- Emory University Goizueta Alzheimer’s Disease Research Center Atlanta GA USA
| | - Deqiang Qiu
- Emory University School of Medicine Atlanta GA USA
| | - Dawn Mechanic‐Hamilton
- Penn Alzheimer’s Disease Research Center, University of Pennsylvania Philadelphia PA USA
| | | | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine Philadelphia PA USA
- Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | | | - John C. Morris
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Washington University School of Medicine St. Louis MO USA
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18
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Shah J, Gao F, Li B, Ghisays V, Luo J, Chen Y, Lee W, Zhou Y, Benzinger TL, Reiman EM, Chen K, Su Y, Wu T. Deep residual inception encoder-decoder network for amyloid PET harmonization. Alzheimers Dement 2022; 18:2448-2457. [PMID: 35142053 PMCID: PMC9360199 DOI: 10.1002/alz.12564] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 12/02/2021] [Accepted: 12/05/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Multiple positron emission tomography (PET) tracers are available for amyloid imaging, posing a significant challenge to consensus interpretation and quantitative analysis. We accordingly developed and validated a deep learning model as a harmonization strategy. METHOD A Residual Inception Encoder-Decoder Neural Network was developed to harmonize images between amyloid PET image pairs made with Pittsburgh Compound-B and florbetapir tracers. The model was trained using a dataset with 92 subjects with 10-fold cross validation and its generalizability was further examined using an independent external dataset of 46 subjects. RESULTS Significantly stronger between-tracer correlations (P < .001) were observed after harmonization for both global amyloid burden indices and voxel-wise measurements in the training cohort and the external testing cohort. DISCUSSION We proposed and validated a novel encoder-decoder based deep model to harmonize amyloid PET imaging data from different tracers. Further investigation is ongoing to improve the model and apply to additional tracers.
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Affiliation(s)
- Jay Shah
- ASU‐Mayo Center for Innovative ImagingArizona State University699 S. Mill Ave.TempeArizona85287USA
- School of Computing and Augmented IntelligenceArizona State University699 S. Mill Ave.TempeArizona85287USA
| | - Fei Gao
- ASU‐Mayo Center for Innovative ImagingArizona State University699 S. Mill Ave.TempeArizona85287USA
- School of Computing and Augmented IntelligenceArizona State University699 S. Mill Ave.TempeArizona85287USA
| | - Baoxin Li
- ASU‐Mayo Center for Innovative ImagingArizona State University699 S. Mill Ave.TempeArizona85287USA
- School of Computing and Augmented IntelligenceArizona State University699 S. Mill Ave.TempeArizona85287USA
| | - Valentina Ghisays
- Banner Alzheimer's Institute901 E. Willetta StreetPhoenixArizona85006USA
| | - Ji Luo
- Banner Alzheimer's Institute901 E. Willetta StreetPhoenixArizona85006USA
| | - Yinghua Chen
- Banner Alzheimer's Institute901 E. Willetta StreetPhoenixArizona85006USA
| | - Wendy Lee
- Banner Alzheimer's Institute901 E. Willetta StreetPhoenixArizona85006USA
| | - Yuxiang Zhou
- Department of RadiologyMayo Clinic at Arizona5777 E Mayo BlvdPhoenixArizona85054USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of RadiologyWashington University School of Medicine in St. Louis510 South Kingshighway BoulevardSt. LouisMissouri63110USA
| | - Eric M. Reiman
- Banner Alzheimer's Institute901 E. Willetta StreetPhoenixArizona85006USA
| | - Kewei Chen
- Banner Alzheimer's Institute901 E. Willetta StreetPhoenixArizona85006USA
| | - Yi Su
- ASU‐Mayo Center for Innovative ImagingArizona State University699 S. Mill Ave.TempeArizona85287USA
- School of Computing and Augmented IntelligenceArizona State University699 S. Mill Ave.TempeArizona85287USA
- Banner Alzheimer's Institute901 E. Willetta StreetPhoenixArizona85006USA
| | - Teresa Wu
- ASU‐Mayo Center for Innovative ImagingArizona State University699 S. Mill Ave.TempeArizona85287USA
- School of Computing and Augmented IntelligenceArizona State University699 S. Mill Ave.TempeArizona85287USA
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19
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Li Y, Wang G, Xiong C, Moulder KL, McDade E, Hassenstab JJ, Aschenbrenner AJ, Benzinger TL, Gordon BA, Fagan AM, Chatterjee S, Cheng Y, Bateman RJ, Morris JC. A More Efficient Outcome for Alzheimer Disease Research: the Item Response Theory Based Score for the Clinical Dementia Rating (CDR
®
). Alzheimers Dement 2022. [DOI: 10.1002/alz.062591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Yan Li
- Washington University in St. Louis St. Louis MO USA
| | - Guoqiao Wang
- Washington University in St. Louis St. Louis MO USA
| | | | | | - Eric McDade
- Washington University in St. Louis School of Medicine St. Louis MO USA
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20
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Saef BA, Henson RL, Volluz K, Yarasheski KE, West T, Kirmess K, Meyer MR, Gordon BA, Benzinger TL, Morris JC, Fagan AM, Schindler SE. Raindrop animation: Visualizing change in longitudinal biomarker data. Alzheimers Dement 2022. [DOI: 10.1002/alz.067300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Benjamin A. Saef
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Washington University in St. Louis Saint Louis MO USA
| | - Rachel L. Henson
- Washington University in St. Louis Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
| | - Katherine Volluz
- Washington University in St. Louis Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
| | - Kevin E. Yarasheski
- Washington University School of Medicine St. Louis MO USA
- C2N Diagnostics, LLC Saint Louis MO USA
| | - Tim West
- C2N Diagnostics, LLC Saint Louis MO USA
| | | | | | | | - Tammie L.S. Benzinger
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Hope Center for Neurological Disorders Saint Louis MO USA
- Mallinckrodt Institute of Radiology Saint Louis MO USA
- Washington University School of Medicine St. Louis MO USA
| | - John C. Morris
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Hope Center for Neurological Disorders Saint Louis MO USA
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Anne M. Fagan
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Hope Center for Neurological Disorders Saint Louis MO USA
- Washington University in St. Louis St. Louis MO USA
| | - Suzanne E. Schindler
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Hope Center for Neurological Disorders Saint Louis MO USA
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Washington University in St. Louis St. Louis MO USA
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21
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Meeker KL, Barthélemy NR, Gordon BA, McDade E, Karch CM, Fagan AM, Strain JF, Luckett PH, Benzinger TL, Bateman RJ, Holtzman DM, Ances BM. CSF tau phosphorylation at sites 217 and 205 mediate the relationship between PET amyloid and downstream AD markers. Alzheimers Dement 2022. [DOI: 10.1002/alz.065718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | | | - Eric McDade
- Washington University School of Medicine St. Louis MO USA
| | - Celeste M. Karch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Anne M. Fagan
- Washington University School of Medicine St. Louis MO USA
| | | | | | | | | | | | - Beau M Ances
- Washington University in St. Louis School of Medicine St. Louis MO USA
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22
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Shirzadi Z, Schultz SA, Yau WW, Joseph‐Mathurin N, Kantarci K, Preboske GM, Jack CR, Farlow MR, Fagan AM, Hassenstab JJ, Jucker M, Morris JC, Xiong C, Karch CM, Fitzpatrick CD, Levey AI, Gordon BA, Schofield PW, Salloway SP, Perrin RJ, McDade E, Levin J, Cruchaga C, Allegri RF, Fox NC, Goate A, Graff‐Radford NR, Koeppe R, Noble JM, Chui HC, Berman S, Mori H, Sanchez‐Valle R, Lee J, Rosa‐Neto P, Benzinger TL, Sohrabi HR, Martins RN, Schultz AP, Bateman RJ, Johnson KA, Sperling RA, Greenberg SM, Chhatwal JP. Progressive white matter injury in autosomal dominant Alzheimer’s disease is strongly associated with cerebral microbleeds and neurodegeneration. Alzheimers Dement 2022. [DOI: 10.1002/alz.066715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Zahra Shirzadi
- Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
| | - Stephanie A. Schultz
- Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
| | | | | | | | | | | | | | - Anne M. Fagan
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE) Tuebingen Germany
| | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Chengjie Xiong
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Celeste M. Karch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | - Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | - Richard J. Perrin
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Eric McDade
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | | | | | - Nick C Fox
- UK Dementia Research Institute, UCL London United Kingdom
| | - Alison Goate
- Icahn School of Medicine at Mount Sinai New York City NY USA
| | | | | | | | - Helena C Chui
- University of Southern California Los Angeles CA USA
| | | | - Hiroshi Mori
- Osaka City University Medical School Osaka Japan
| | | | - Jae‐Hong Lee
- Asan Medical Center, University of Ulsan College of Medicine Seoul Korea, Republic of (South)
| | - Pedro Rosa‐Neto
- Montreal Neurological Institute, McGill University Montreal QC Canada
| | | | - Hamid R Sohrabi
- Department of Biomedical Sciences, Macquarie University Sydney NSW Australia
| | - Ralph N Martins
- Edith Cowan University Joondalup Western Australia Australia
| | - Aaron P. Schultz
- Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | | | - Keith A. Johnson
- Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
| | - Reisa A. Sperling
- Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
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23
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Gordon BA, Wisch JK, Hobbs DA, McKay NS, Schultz SA, Flores S, Keefe SJ, Dincer A, Ances BM, Morris JC, Schindler SE, Fagan AM, Benzinger TL. Comparing neuroimaging and cerebrospinal fluid markers of amyloid, tau, and neurodegenerative biomarkers: implications for understanding the biology of the disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.062589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Julie K. Wisch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Diana A. Hobbs
- Washington University School of Medicine St. Louis MO USA
| | | | - Stephanie A. Schultz
- Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
| | - Shaney Flores
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Sarah J. Keefe
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Aylin Dincer
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Beau M Ances
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Anne M. Fagan
- Washington University in St. Louis School of Medicine St. Louis MO USA
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24
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Wu W, Wang Q, Sun Z, Flores S, Hobbs DA, Franklin EE, Perrin RJ, Benzinger TL, Wang Y. Initial Correlation Analysis of Diffusion Basis Spectrum Imaging of Alzheimer's Brain and Quantitative Histology. Alzheimers Dement 2022. [DOI: 10.1002/alz.064265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Wenjie Wu
- Washington University School of Medicine Saint Louis MO USA
| | - Qing Wang
- Washington University School of Medicine Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
| | - Zhexian Sun
- Washington University School of Medicine Saint Louis MO USA
| | - Shaney Flores
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Diana A. Hobbs
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Washington University School of Medicine St. Louis MO USA
| | - Erin E. Franklin
- Washington University School of Medicine Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
| | - Richard J. Perrin
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Hope Center for Neurological Disorders Saint Louis MO USA
| | - Tammie L.S. Benzinger
- Washington University School of Medicine Saint Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Hope Center for Neurological Disorders Saint Louis MO USA
| | - Yong Wang
- Washington University School of Medicine Saint Louis MO USA
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25
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Horie K, Barthélemy NR, Li Y, Sato C, Gordon BA, Benzinger TL, Sachdev P, McDade E, Bateman RJ. Comprehensive CSF Tau Profiling Identifies Soluble Tau Pathophysiological Stages in Dominantly Inherited Alzheimer Network (DIAN): Implications for the DIAN‐TU Tau Next Generation Platform. Alzheimers Dement 2022. [DOI: 10.1002/alz.065313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Kanta Horie
- Eisai Inc Nutley NJ USA
- Washington University School of Medicine St. Louis MO USA
| | | | - Yan Li
- Washington University School of Medicine St. Louis MO USA
| | - Chihiro Sato
- Washington University School of Medicine St. Louis MO USA
| | | | | | | | - Eric McDade
- Washington University School of Medicine St. Louis MO USA
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26
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Wang Q, Wang W, Schindler SE, McKay NS, Chen G, Liu J, Wang S, Sun Z, Hassenstab JJ, Fagan AM, Morris JC, Wang Y, Benzinger TL. Baseline White Matter Neuroinflammation Predicts Cognitive Decline in Alzheimer Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.063781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Qing Wang
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Wenshang Wang
- Washington University School of Medicine St. Louis MO USA
| | - Suzanne E. Schindler
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Hope Center for Neurological Disorders St. Louis MO USA
| | - Nicole S. McKay
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Gengsheng Chen
- Washington University School of Medicine St. Louis MO USA
| | - Jingxia Liu
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Sicheng Wang
- Washington University School of Medicine St. Louis MO USA
| | - Zhexian Sun
- Washington University School of Medicine St. Louis MO USA
| | - Jason J. Hassenstab
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Anne M. Fagan
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Yong Wang
- Washington University School of Medicine St. Louis MO USA
| | - Tammie L.S. Benzinger
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
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27
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Boerwinkle AH, Gordon BA, Wisch JK, Flores S, Henson RL, Butt OH, Chen CD, Benzinger TL, Fagan AM, Handen BL, Christian BT, Head E, Mapstone M, Klunk WE, Rafii MS, O'Bryant SE, Price JC, Schupf N, Laymon CM, Krinsky‐McHale SJ, Lai F, Rosas HD, Hartley SL, Zaman S, Lott IT, Silverman W, Brickman AM, Lee JH, Allegri RF, Berman S, Chhatwal JP, Chui HC, Cruchaga C, Farlow MR, Fox NC, Goate A, Day GS, Graff‐Radford NR, Jucker M, Lee J, Levin J, Martins RN, Mori H, Perrin RJ, Salloway SP, Sanchez‐Valle R, Schofield PR, Xiong C, Karch CM, Hassenstab JJ, McDade E, Bateman RJ, Ances BM. Comparison of amyloid accumulation between Down syndrome and autosomal‐dominant Alzheimer disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.064684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | - Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Julie K. Wisch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Shaney Flores
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Omar Hameed Butt
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Charles D. Chen
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Anne M. Fagan
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | | | | | | | | | - Sid E. O'Bryant
- University of North Texas Health Science Center Fort Worth TX USA
| | - Julie C Price
- Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | - Nicole Schupf
- Columbia University Irving Medical Center New York NY USA
| | | | - Sharon J Krinsky‐McHale
- New York State Institute for Basic Research in Developmental Disabilities Staten Island NY USA
| | | | | | - Sigan L Hartley
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Shahid Zaman
- University of Cambridge Cambridge United Kingdom
| | - Ira T Lott
- University of California, Irvine Irvine CA USA
| | | | | | - Joseph H. Lee
- Columbia University Irving Medical Center New York NY USA
| | | | | | | | - Helena C Chui
- University of Southern California Los Angeles CA USA
| | | | | | - Nick C Fox
- University College London Institute of Neurology London United Kingdom
| | - Alison Goate
- Icahn School of Medicine at Mount Sinai New York NY USA
| | | | | | | | - Jae‐Hong Lee
- Asan Medical Center, University of Ulsan College of Medicine Seoul Republic of South Korea
| | | | - Ralph N Martins
- Edith Cowan University, Joondalup Western Australia Australia
| | - Hiroshi Mori
- Osaka City University Medical School Osaka Japan
| | - Richard J. Perrin
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | | | - Chengjie Xiong
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Celeste M. Karch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Eric McDade
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Beau M Ances
- Washington University in St. Louis School of Medicine St. Louis MO USA
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28
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Cox T, Bourgeat P, Dore V, Doecke JD, Fripp J, Chatterjee P, Schindler EE, Benzinger TL, Rowe C, Villemagne VL, Weiner MW, Morris JC, Masters CL. Comparing the longitudinal progression of CSF biomarkers with PET Amyloid biomarkers for Alzheimer’s disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.068082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Timothy Cox
- The Australian e‐Health Research Centre, CSIRO Canberra ACT Australia
| | - Pierrick Bourgeat
- CSIRO Health and Biosecurity, Australian E‐Health Research Centre Brisbane QLD Australia
| | - Vincent Dore
- Department of Molecular Imaging & Therapy, Austin Health Heidelberg VIC Australia
- Australian E‐Health Research Centre, CSIRO Parkville VIC Australia
| | - James D Doecke
- Australian E‐Health Research Centre, CSIRO Herston QLD Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, Australian E‐Health Research Centre Brisbane QLD Australia
| | | | | | | | - Christopher Rowe
- Department of Molecular Imaging, Austin Health Melbourne VIC Australia
- Florey Institute of Neuroscience and Mental Health Parkville VIC Australia
- The University of Melbourne Melbourne VIC Australia
| | | | | | - John C. Morris
- Washington University School of Medicine St. Louis MO USA
| | - Colin L. Masters
- Florey Institute of Neuroscience and Mental Health Parkville VIC Australia
- The University of Melbourne Melbourne VIC Australia
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29
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Flores S, Chen CD, Su Y, Dincer A, Keefe SJ, Perez‐Carrillo GG, Hornbeck RC, Goyal MS, Vlassenko AG, Schwarz S, Nickels ML, Wong DF, Tu Z, McConathy J, Morris JC, Benzinger TL, Gordon BA. Characteristics and quantitative impact of off‐target skull binding in tau PET studies of Alzheimer disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.063405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Shaney Flores
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Charles D. Chen
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Yi Su
- Banner Alzheimer's Institute Phoenix AZ USA
| | - Aylin Dincer
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Sarah J. Keefe
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Russ C. Hornbeck
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Manu S. Goyal
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Sally Schwarz
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Dean F Wong
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Zhude Tu
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Tammie L.S. Benzinger
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
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30
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Schultz SA, Allegri RF, Schultz AP, Goate A, Levey AI, Fagan AM, Hanseeuw BJ, Koeppe RA, Gordon BA, Cruchaga C, Karch CM, Chen CD, Xiong C, Jack CR, Fitzpatrick CD, McDade E, Chui HC, Mori H, Lee J, Noble JM, Hassenstab JJ, Levin J, Morris JC, Johnson KA, Liu L, Farlow MR, Jucker M, Farrell ME, Graff‐Radford NR, Joseph‐Mathurin N, Fox NC, Schofield PR, Martins RN, Sanchez‐Valle R, Perrin RJ, Berman S, Salloway SP, Shirzadi Z, Rosa‐Neto P, Benzinger TL, Bateman RJ, Sperling RA, Chhatwal JP. AD‐causing variants that affect
PSEN1
transmembrane domains are associated with faster neurodegeneration and cognitive decline compared to those affecting cytoplasmic domains. Alzheimers Dement 2022. [DOI: 10.1002/alz.068221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Stephanie A. Schultz
- Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
| | | | - Aaron P. Schultz
- Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | - Alison Goate
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai New York NY USA
| | - Allan I. Levey
- Emory Goizueta Alzheimer's Disease Research Center Atlanta GA USA
| | - Anne M. Fagan
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Bernard J Hanseeuw
- Institute of Neuroscience, UCLouvain Brussels Belgium
- Massachussets General Hospital, Harvard Medical School Boston USA
| | | | - Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Celeste M. Karch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Charles D. Chen
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Chengjie Xiong
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | - Eric McDade
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Helena C Chui
- Department of Neurology, Keck School of Medicine, University of Southern California Los Angeles CA USA
| | - Hiroshi Mori
- Osaka City University Medical School Osaka Japan
| | - Jae‐Hong Lee
- Asan Medical Center, University of Ulsan College of Medicine Seoul Korea, Republic of (South)
| | | | | | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Keith A. Johnson
- Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | - Lei Liu
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
| | | | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE) Tuebingen Germany
| | | | | | | | - Nick C Fox
- University College London Institute of Neurology London United Kingdom
| | | | - Ralph N Martins
- Edith Cowan University Joondalup Western Australia Australia
| | - Raquel Sanchez‐Valle
- Neurology Department, Hospital Clínic. Institut d'Investigacions Biomediques Barcelona Spain
| | - Richard J. Perrin
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | - Zahra Shirzadi
- Massachusetts General Hospital, Brigham and Women’s Hospital,Harvard Medical School Boston MA USA
| | | | | | | | - Reisa A. Sperling
- Massachusetts General Hospital, Harvard Medical School Boston MA USA
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Schultz SA, Allegri RF, Schultz AP, Goate A, Levey AI, Fagan AM, Hanseeuw BJ, Koeppe RA, Gordon BA, Cruchaga C, Karch CM, Chen CD, Xiong C, Jack CR, Fitzpatrick CD, McDade E, Chui HC, Mori H, Lee J, Noble JM, Hassenstab JJ, Levin J, Morris JC, Johnson KA, Liu L, Farlow MR, Jucker M, Farrell ME, Graff‐Radford NR, Joseph‐Mathurin N, Fox NC, Schofield PR, Martins RN, Sanchez‐Valle R, Perrin RJ, Berman S, Salloway SP, Shirzadi Z, Rosa‐Neto P, Benzinger TL, Bateman RJ, Sperling RA, Chhatwal JP. AD‐causing variants that affect
PSEN1
transmembrane domains are associated with faster neurodegeneration and cognitive decline compared to those affecting cytoplasmic domains. Alzheimers Dement 2022. [DOI: 10.1002/alz.067186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Stephanie A. Schultz
- Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
| | | | | | - Alison Goate
- Icahn School of Medicine at Mount Sinai New York NY USA
| | - Allan I. Levey
- Emory Goizueta Alzheimer's Disease Research Center Atlanta GA USA
| | - Anne M. Fagan
- Washington University in St. Louis, St. Louis MO USA
- Knight Alzheimer Disease Research Center, St. Louis MO USA
| | | | | | - Brian A. Gordon
- Knight Alzheimer Disease Research Center, St. Louis MO USA
- Washington University School of Medicine, St. Louis MO USA
| | - Carlos Cruchaga
- Knight Alzheimer Disease Research Center, St. Louis MO USA
- Washington University School of Medicine St Louis MO USA
| | - Celeste M. Karch
- Washington University in St. Louis School of Medicine, St. Louis MO USA
| | | | - Chengjie Xiong
- Washington University in St. Louis, St. Louis MO USA
- Knight Alzheimer Disease Research Center, St. Louis MO USA
| | | | | | - Eric McDade
- Washington University School of Medicine, St. Louis MO USA
| | | | - Hiroshi Mori
- Osaka City University Medical School Osaka Japan
| | - Jae‐Hong Lee
- Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of (South)
| | | | | | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - John C. Morris
- Washington University School of Medicine, St. Louis MO USA
| | - Keith A. Johnson
- Massachusetts General Hospital, Brigham and Women’s Hospital,Harvard Medical School Boston MA USA
| | - Lei Liu
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
| | | | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE) Tuebingen Germany
| | | | | | | | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology London United Kingdom
| | | | - Ralph N Martins
- Edith Cowan University, Joondalup Western Australia Australia
| | - Raquel Sanchez‐Valle
- Neurology Department, Hospital Clínic. Institut d'Investigacions Biomediques Barcelona Spain
| | - Richard J. Perrin
- Washington University in St. Louis School of Medicine, St. Louis MO USA
| | | | | | - Zahra Shirzadi
- Massachusetts General Hospital, Brigham and Women’s Hospital,Harvard Medical School Boston MA USA
| | - Pedro Rosa‐Neto
- Montreal Neurological Institute, McGill University Montreal QC Canada
| | - Tammie L.S. Benzinger
- Knight Alzheimer Disease Research Center, St. Louis MO USA
- Washington University School of Medicine, St. Louis MO USA
| | | | | | - Jasmeer P. Chhatwal
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School Boston MA USA
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32
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Boerwinkle AH, Gordon BA, Wisch JK, Flores S, Henson RL, Butt OH, Chen CD, Benzinger TL, Fagan AM, Handen BL, Christian BT, Head E, Mapstone M, Klunk WE, Rafii MS, O'Bryant SE, Price JC, Schupf N, Laymon CM, Krinsky‐McHale SJ, Lai F, Rosas HD, Hartley SL, Zaman S, Lott IT, Silverman W, Brickman AM, Lee JH, Allegri RF, Berman S, Chhatwal JP, Chui HC, Cruchaga C, Farlow MR, Fox NC, Goate A, Day GS, Graff‐Radford NR, Jucker M, Lee J, Levin J, Martins RN, Mori H, Perrin RJ, Salloway SP, Sanchez‐Valle R, Schofield PR, Xiong C, Karch CM, Hassenstab JJ, McDade E, Bateman RJ, Ances BM. Comparison of amyloid accumulation between Down syndrome and autosomal‐dominant Alzheimer disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.063959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | - Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Julie K. Wisch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Shaney Flores
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Omar Hameed Butt
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Charles D. Chen
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Anne M. Fagan
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | | | | | | | | | - Sid E. O'Bryant
- University of North Texas Health Science Center Fort Worth TX USA
| | - Julie C Price
- Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | - Nicole Schupf
- Columbia University Irving Medical Center New York NY USA
| | | | - Sharon J Krinsky‐McHale
- New York State Institute for Basic Research in Developmental Disabilities Staten Island NY USA
| | | | | | - Sigan L Hartley
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Shahid Zaman
- University of Cambridge Cambridge United Kingdom
| | - Ira T Lott
- University of California, Irvine Irvine CA USA
| | | | | | - Joseph H. Lee
- Columbia University Irving Medical Center New York NY USA
| | | | | | | | - Helena C Chui
- University of Southern California Los Angeles CA USA
| | - Carlos Cruchaga
- Washington University School of Medicine Los Angeles CA USA
- Hope Center for Neurological Disorders Los Angeles CA USA
| | | | - Nick C Fox
- University College London Institute of Neurology London United Kingdom
| | - Alison Goate
- Icahn School of Medicine at Mount Sinai New York NY USA
| | | | | | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE) Tuebingen Germany
| | - Jae‐Hong Lee
- Asan Medical Center, University of Ulsan College of Medicine Seoul Korea, Republic of (South)
| | | | - Ralph N Martins
- Edith Cowan University Joondalup Western Australia Australia
| | - Hiroshi Mori
- Osaka City University Medical School Osaka Japan
| | - Richard J. Perrin
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Hope Center for Neurological Disorders Los Angeles CA USA
| | | | | | | | - Chengjie Xiong
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Celeste M. Karch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Eric McDade
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Beau M Ances
- Washington University in St. Louis School of Medicine St. Louis MO USA
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33
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Bourgeat P, Dore V, Benzinger TL, Tosun D, Li S, Goyal MS, LaMontagne P, Jin L, Rowe C, Weiner MW, Morris JC, Masters CL, Fripp J, Villemagne VL. Investigating a new neocortical mask for Centiloid quantification. Alzheimers Dement 2022. [DOI: 10.1002/alz.069029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Pierrick Bourgeat
- CSIRO Health and Biosecurity, Australian E‐Health Research Centre Brisbane QLD Australia
| | - Vincent Dore
- CSIRO Health and Biosecurity, Australian E‐Health Research Centre Parkville VIC Australia
- Austin Health Melbourne Australia
| | | | - Duygu Tosun
- University of California, San Francisco San Francisco CA USA
| | - Shenpeng Li
- CSIRO Health and Biosecurity, Australian E‐Health Research Centre Parkville VIC Australia
| | | | | | - Liang Jin
- Florey Institute of Neuroscience and Mental Health Parkville VIC Australia
| | - Christopher Rowe
- Florey Institute of Neuroscience and Mental Health Parkville VIC Australia
- Department of Molecular Imaging, Austin Health Melbourne VIC Australia
| | | | - John C. Morris
- Washington University School of Medicine St. Louis MO USA
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne Parkville VIC Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, Australian E‐Health Research Centre Brisbane QLD Australia
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34
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McDade E, Wang G, Li Y, Gordon BA, Benzinger TL, Fagan AM, Llibre‐Guerra JJ, Cruchaga C, Clifford DB, Xiong C, Perrin RJ, Bittner T, Holdridge KC, Yaari R, Bateman RJ. Longitudinal cerebrospinal fluid phosphorylated tau181 and total tau do not reflect tau PET retention in dominantly inherited Alzheimer disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.067151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Eric McDade
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Guoqiao Wang
- Washington University in St. Louis St. Louis MO USA
- Division of Biostatistics, Washington University School of Medicine St. Louis MO USA
| | - Yan Li
- Washington University School of Medicine St. Louis MO USA
| | | | - Tammie L.S. Benzinger
- Washington University School of Medicine St. Louis MO USA
- Mallinckrodt Institute of Radiology Saint Louis MO USA
| | | | | | | | - David B. Clifford
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Richard J. Perrin
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | - Roy Yaari
- Eli Lilly and Company Indianapolis IN USA
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35
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Meeker KL, Barthélemy NR, Gordon BA, McDade E, Karch CM, Fagan AM, Strain JF, Luckett PH, Benzinger TL, Bateman RJ, Holtzman DM, Ances BM. CSF tau phosphorylation at sites 217 and 181 are associated with preclinical and biphasic alterations in resting‐state functional connectivity in Autosomal Dominant AD. Alzheimers Dement 2022. [DOI: 10.1002/alz.065641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | | | - Eric McDade
- Washington University School of Medicine St. Louis MO USA
| | | | - Anne M. Fagan
- Washington University School of Medicine St. Louis MO USA
| | | | | | | | | | | | - Beau M Ances
- Washington University in St. Louis School of Medicine St. Louis MO USA
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36
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Fan S, Ha SM, Chakrabarty S, Lee J, Flores S, LaMontagne P, Gordon BA, Raji CA, Benzinger TL, Morris JC, Ances BM, Marcus DS, Sotiras A. Classification of amyloid positivity in PET imaging using end‐to‐end deep learning: a multi‐cohort, multi‐tracer analysis. Alzheimers Dement 2022. [DOI: 10.1002/alz.067404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Shuyang Fan
- Washington University in St. Louis St. Louis MO USA
- Duke‐NUS Medical School Singapore Singapore
| | - Sung Min Ha
- Washington University in St. Louis St. Louis MO USA
| | | | - John Lee
- Washington University in St. Louis St. Louis MO USA
- Mallinckrodt Institute of Radiology, Washington University St. Louis MO USA
| | - Shaney Flores
- Washington University in St. Louis St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | | | - Brian A. Gordon
- Washington University in St. Louis St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Cyrus A. Raji
- Mallinckrodt Institute of Radiology, Washington University St. Louis MO USA
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Tammie L.S. Benzinger
- Washington University in St. Louis St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - John C. Morris
- Washington University in St. Louis St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Beau M Ances
- Washington University in St. Louis St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Daniel S. Marcus
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Institute for Informatics, Washington University St. Louis MO USA
| | - Aristeidis Sotiras
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Institute for Informatics, Washington University St. Louis MO USA
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37
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Gordon BA, Flores S, Dincer A, Keefe SJ, McKay NS, Hobbs DA, Wisch JK, Hornbeck RC, Franklin EE, Jack CR, Koeppe RA, Xiong C, van Dyck CH, McDade E, Klein G, Pariente J, Bateman RJ, Morris JC, Ances BM, Benzinger TL, Perrin RJ. Examining the effects of sex and age on tau PET binding in the absence of beta‐amyloid pathology. Alzheimers Dement 2022. [DOI: 10.1002/alz.061090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Shaney Flores
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Aylin Dincer
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Sarah J. Keefe
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Diana A. Hobbs
- Washington University School of Medicine St. Louis MO USA
| | - Julie K. Wisch
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Russ C. Hornbeck
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Erin E. Franklin
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | - Chengjie Xiong
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Eric McDade
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Gregory Klein
- Pharma Research and Early Development, F. Hoffmann‐La Roche Ltd. Basel Switzerland
| | | | | | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Beau M Ances
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Richard J. Perrin
- Washington University in St. Louis School of Medicine St. Louis MO USA
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38
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Wang Q, Wang W, Schindler SE, McKay NS, Chen G, Liu J, Wang S, Sun Z, Hassenstab JJ, Fagan AM, Morris JC, Wang Y, Benzinger TL. Baseline White Matter Neuroinflammation Predicts Cognitive Decline in Alzheimer Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.063755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Qing Wang
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Wenshang Wang
- Washington University School of Medicine Saint Louis MO USA
| | - Suzanne E. Schindler
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Hope Center for Neurological Disorders Saint Louis MO USA
| | - Nicole S. McKay
- Washington University School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Gengsheng Chen
- Washington University School of Medicine St. Louis MO USA
| | - Jingxia Liu
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Sicheng Wang
- Washington University School of Medicine Saint Louis MO USA
| | - Zhexian Sun
- Washington University School of Medicine Saint Louis MO USA
| | - Jason J. Hassenstab
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Washington University in St. Louis St. Louis MO USA
| | - Anne M. Fagan
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Hope Center for Neurological Disorders Saint Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Yong Wang
- Washington University School of Medicine Saint Louis MO USA
| | - Tammie L.S. Benzinger
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
- Mallinckrodt Institute of Radiology Saint Louis MO USA
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39
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Llibre‐Guerra JJ, Ma Y, Aschenbrenner AJ, Xiong C, Hassenstab JJ, Gordon BA, Benzinger TL, Fagan AM, Perrin RJ, Morris JC, McDade E, Bateman RJ. Resilience and Reserve mechanisms underlying clinical‐cognitive progression in Dominant Inherited Alzheimer’s Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.068763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | - Yinjiao Ma
- Washington University in St. Louis St. Louis MO USA
| | | | | | | | | | | | | | - Richard J. Perrin
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | - Eric McDade
- Washington University in St. Louis School of Medicine St. Louis MO USA
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40
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Millar PR, Luckett PH, Gordon BA, Benzinger TL, Fagan AM, Hassenstab JJ, Schindler SE, Morris JC, Ances BM. Modeling functional and structural brain‐predicted age in relation to Alzheimer disease and cognition. Alzheimers Dement 2022. [DOI: 10.1002/alz.060606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | - Patrick H Luckett
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | | | | | | | - John C. Morris
- Washington University School of Medicine St. Louis MO USA
| | - Beau M Ances
- Washington University in St. Louis School of Medicine St. Louis MO USA
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41
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Rahmani M, McAvoy M, Chang R, Raichle ME, Benzinger TL, Morris JC, Vlassenko AG, Goyal MS. Hippocampal metabolism in preclinical Alzheimer’s disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.066140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Maryam Rahmani
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Mark McAvoy
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Ryan Chang
- Washington University School of Medicine St. Louis MO USA
| | - Marcus E. Raichle
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Tammie L.S. Benzinger
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - John C. Morris
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Andrei G. Vlassenko
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Manu S. Goyal
- Washington University in St. Louis School of Medicine St. Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
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42
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Joseph‐Mathurin N, Llibre‐Guerra JJ, Li Y, McCullough AA, Hofmann C, Wojtowicz J, Park E, Wang G, Preboske GM, Wang Q, Gordon BA, Chen CD, Flores S, Aggarwal NT, Berman SB, Bird TD, Black SE, Borowski B, Brooks WS, Chhatwal JP, Clarnette R, Cruchaga C, Fagan AM, Farlow M, Fox NC, Gauthier S, Hassenstab J, Hobbs DA, Holdridge KC, Honig LS, Hornbeck RC, Hsiung GR, Jack CR, Jimenez‐Velazquez IZ, Jucker M, Klein G, Levin J, Mancini M, Masellis M, McKay NS, Mummery CJ, Ringman JM, Shimada H, Snider BJ, Suzuki K, Wallon D, Xiong C, Yaari R, McDade E, Perrin RJ, Bateman RJ, Salloway SP, Benzinger TL, Clifford DB. Amyloid-Related Imaging Abnormalities in the DIAN-TU-001 Trial of Gantenerumab and Solanezumab: Lessons from a Trial in Dominantly Inherited Alzheimer Disease. Ann Neurol 2022; 92:729-744. [PMID: 36151869 PMCID: PMC9828339 DOI: 10.1002/ana.26511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 09/12/2022] [Accepted: 09/15/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVE To determine the characteristics of participants with amyloid-related imaging abnormalities (ARIA) in a trial of gantenerumab or solanezumab in dominantly inherited Alzheimer disease (DIAD). METHODS 142 DIAD mutation carriers received either gantenerumab SC (n = 52), solanezumab IV (n = 50), or placebo (n = 40). Participants underwent assessments with the Clinical Dementia Rating® (CDR®), neuropsychological testing, CSF biomarkers, β-amyloid positron emission tomography (PET), and magnetic resonance imaging (MRI) to monitor ARIA. Cross-sectional and longitudinal analyses evaluated potential ARIA-related risk factors. RESULTS Eleven participants developed ARIA-E, including 3 with mild symptoms. No ARIA-E was reported under solanezumab while gantenerumab was associated with ARIA-E compared to placebo (odds ratio [OR] = 9.1, confidence interval [CI][1.2, 412.3]; p = 0.021). Under gantenerumab, APOE-ɛ4 carriers were more likely to develop ARIA-E (OR = 5.0, CI[1.0, 30.4]; p = 0.055), as were individuals with microhemorrhage at baseline (OR = 13.7, CI[1.2, 163.2]; p = 0.039). No ARIA-E was observed at the initial 225 mg/month gantenerumab dose, and most cases were observed at doses >675 mg. At first ARIA-E occurrence, all ARIA-E participants were amyloid-PET+, 60% were CDR >0, 60% were past their estimated year to symptom onset, and 60% had also incident ARIA-H. Most ARIA-E radiologically resolved after dose adjustment and developing ARIA-E did not significantly increase odds of trial discontinuation. ARIA-E was more frequently observed in the occipital lobe (90%). ARIA-E severity was associated with age at time of ARIA-E. INTERPRETATION In DIAD, solanezumab was not associated with ARIA. Gantenerumab dose over 225 mg increased ARIA-E risk, with additional risk for individuals APOE-ɛ4(+) or with microhemorrhage. ARIA-E was reversible on MRI in most cases, generally asymptomatic, without additional risk for trial discontinuation. ANN NEUROL 2022;92:729-744.
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Affiliation(s)
- Nelly Joseph‐Mathurin
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | | | - Yan Li
- Department of NeurologyWashington University School of MedicineSt. LouisMO
| | - Austin A. McCullough
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | - Carsten Hofmann
- Pharmaceutical Sciences, Roche Innovation Center BaselF. Hoffmann‐La Roche Ltd.BaselSwitzerland
| | - Jakub Wojtowicz
- Product Development, Clinical SafetyF. Hoffmann‐La Roche Ltd.BaselSwitzerland
| | - Ethan Park
- Division of BiostatisticsWashington University School of MedicineSt. LouisMO
| | - Guoqiao Wang
- Division of BiostatisticsWashington University School of MedicineSt. LouisMO
| | | | - Qing Wang
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | - Brian A. Gordon
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | - Charles D. Chen
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | - Shaney Flores
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | - Neelum T. Aggarwal
- Department of Neurological SciencesRush University Medical CenterChicagoIL
| | - Sarah B. Berman
- Departments of Neurology and Clinical and Translational ScienceUniversity of PittsburghPittsburghPA
| | - Thomas D. Bird
- Department of NeurologyUniversity of WashingtonSeattleWA
| | - Sandra E. Black
- Department of Medicine (Neurology), Sunnybrook Health Sciences CentreSunnybrook Research Institute, University of TorontoTorontoOntarioCanada
| | | | - William S. Brooks
- Neuroscience Research AustraliaUniversity of New South WalesNew South WalesAustralia
| | - Jasmeer P. Chhatwal
- Department of NeurologyBrigham and Women's Hospital, Massachusetts General HospitalBostonMA
| | - Roger Clarnette
- Department of Internal Medicine, Medical SchoolUniversity of Western AustraliaCrawleyAustralia
| | - Carlos Cruchaga
- Department of PsychiatryWashington University School of MedicineSt. LouisMO
| | - Anne M. Fagan
- Department of NeurologyWashington University School of MedicineSt. LouisMO
| | - Martin Farlow
- Department of NeurologyIndiana University School of MedicineIndianapolisIN
| | - Nick C. Fox
- UCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
| | - Serge Gauthier
- McGill Center for Studies in AgingMcGill UniversityMontrealQuebecCanada
| | - Jason Hassenstab
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
- Psychological and Brain SciencesWashington University School of MedicineSt. LouisMO
| | - Diana A. Hobbs
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | | | | | - Russ C. Hornbeck
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | - Ging‐Yuek R. Hsiung
- Department of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | | | | | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE)Hertie Institute for Clinical Brain Research, University of TübingenTübingenGermany
| | - Gregory Klein
- Clinical Imaging, Biomarkers & Translational TechnologiesF. Hoffmann‐La Roche Ltd.BaselSwitzerland
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Department of Neurology, Ludwig‐Maximilians‐Universität MünchenMunich Cluster for Systems Neurology (SyNergy)MunichGermany
| | | | - Mario Masellis
- Department of Medicine (Neurology), Sunnybrook Health Sciences CentreSunnybrook Research Institute, University of TorontoTorontoOntarioCanada
| | - Nicole S. McKay
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | | | - John M. Ringman
- Department of Neurology, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
| | - Hiroyuki Shimada
- Diagnostic and Interventional Radiology, Graduate School of MedicineOsaka City UniversityOsakaJapan
| | - B. Joy Snider
- Department of NeurologyWashington University School of MedicineSt. LouisMO
| | - Kazushi Suzuki
- Department of Internal MedicineNational Defense Medical CollegeSaitamaJapan
| | | | - Chengjie Xiong
- Division of BiostatisticsWashington University School of MedicineSt. LouisMO
| | | | - Eric McDade
- Department of NeurologyWashington University School of MedicineSt. LouisMO
| | - Richard J. Perrin
- Department of NeurologyWashington University School of MedicineSt. LouisMO
- Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMO
| | - Randall J. Bateman
- Department of NeurologyWashington University School of MedicineSt. LouisMO
| | - Stephen P. Salloway
- Department of NeurologyAlpert Medical School of Brown University, Butler HospitalProvidenceRI
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMO
| | - David B. Clifford
- Department of NeurologyWashington University School of MedicineSt. LouisMO
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Strain JF, Brier MR, Tanenbaum A, Gordon BA, McCarthy JE, Dincer A, Marcus DS, Chhatwal JP, Graff-Radford NR, Day GS, la Fougère C, Perrin RJ, Salloway S, Schofield PR, Yakushev I, Ikeuchi T, Vöglein J, Morris JC, Benzinger TL, Bateman RJ, Ances BM, Snyder AZ. Covariance-based vs. correlation-based functional connectivity dissociates healthy aging from Alzheimer disease. Neuroimage 2022; 261:119511. [PMID: 35914670 PMCID: PMC9750733 DOI: 10.1016/j.neuroimage.2022.119511] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 07/04/2022] [Accepted: 07/22/2022] [Indexed: 01/05/2023] Open
Abstract
Prior studies of aging and Alzheimer disease have evaluated resting state functional connectivity (FC) using either seed-based correlation (SBC) or independent component analysis (ICA), with a focus on particular functional systems. SBC and ICA both are insensitive to differences in signal amplitude. At the same time, accumulating evidence indicates that the amplitude of spontaneous BOLD signal fluctuations is physiologically meaningful. We systematically compared covariance-based FC, which is sensitive to amplitude, vs. correlation-based FC, which is not, in affected individuals and controls drawn from two cohorts of participants including autosomal dominant Alzheimer disease (ADAD), late onset Alzheimer disease (LOAD), and age-matched controls. Functional connectivity was computed over 222 regions of interest and group differences were evaluated in terms of components projected onto a space of lower dimension. Our principal observations are: (1) Aging is associated with global loss of resting state fMRI signal amplitude that is approximately uniform across resting state networks. (2) Thus, covariance FC measures decrease with age whereas correlation FC is relatively preserved in healthy aging. (3) In contrast, symptomatic ADAD and LOAD both lead to loss of spontaneous activity amplitude as well as severely degraded correlation structure. These results demonstrate a double dissociation between age vs. Alzheimer disease and the amplitude vs. correlation structure of resting state BOLD signals. Modeling results suggest that the AD-associated loss of correlation structure is attributable to a relative increase in the fraction of locally restricted as opposed to widely shared variance.
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Affiliation(s)
- Jeremy F. Strain
- Department of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA
| | - Matthew R. Brier
- Department of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA
| | - Aaron Tanenbaum
- Department of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA
| | - Brian A. Gordon
- Department of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA,Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA,Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA
| | - John E. McCarthy
- Department of Mathematics and Statistics, Washington University, St. Louis, MO 63130, USA
| | - Aylin Dincer
- Department of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA
| | - Daniel S. Marcus
- Department of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA,Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Jasmeer P. Chhatwal
- Martinos Center, Massachusetts General Hospital, 149 13th St Room 2662, Charlestown, MA 02129, USA
| | - Neill R. Graff-Radford
- Department of Neurology, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, Fl 32224, USA
| | - Gregory S. Day
- Department of Neurology, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, Fl 32224, USA
| | - Christian la Fougère
- Department of Nuclear Medicine and Clinical Molecular Imaging, Universityhospital Tübingen, Tübingen, Germany,German Center for Neurodegenerative Diseases (DZNE) Tübingen, Germany
| | - Richard J. Perrin
- Department of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA,Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO 63110, USA,Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Stephen Salloway
- Alpert Medical School of Brown University, 345 Blackstone Boulevard, Providence, RI 02906, USA
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney, NSW 2131, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Igor Yakushev
- Department of Nuclear Medicine, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, Munich 81675, Germany
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Japan
| | - Jonathan Vöglein
- Department of Neurology, Ludwig-Maximilians-Universität Munich, Germany
| | - John C. Morris
- Department of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA,Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Tammie L.S. Benzinger
- Department of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA,Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Randall J. Bateman
- Department of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA,Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO 63110, USA,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Beau M. Ances
- Department of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA,Department of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Abraham Z. Snyder
- Department of Neurology, Washington University in Saint Louis, St. Louis, MO 63110, USA,Department of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA,Corresponding author at: Department of Radiology, Washington University in Saint Louis, Box 8225, 660 South Euclid Ave, St. Louis, MO 63110, USA., (A.Z. Snyder)
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44
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Wang Q, Chen G, Schindler SE, Christensen J, McKay NS, Liu J, Wang S, Sun Z, Hassenstab J, Su Y, Flores S, Hornbeck R, Cash L, Cruchaga C, Fagan AM, Tu Z, Morris JC, Mintun MA, Wang Y, Benzinger TL. Baseline Microglial Activation Correlates With Brain Amyloidosis and Longitudinal Cognitive Decline in Alzheimer Disease. Neurol Neuroimmunol Neuroinflamm 2022; 9:e1152. [PMID: 35260470 PMCID: PMC8906187 DOI: 10.1212/nxi.0000000000001152] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 01/06/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND OBJECTIVES This study aims to quantify microglial activation in individuals with Alzheimer disease (AD) using the 18-kDa translocator protein (TSPO) PET imaging in the hippocampus and precuneus, the 2 AD-vulnerable regions, and to evaluate the association of baseline neuroinflammation with amyloidosis, tau, and longitudinal cognitive decline. METHODS Twenty-four participants from the Knight Alzheimer Disease Research Center (Knight ADRC) were enrolled and classified into stable cognitively normal, progressor, and symptomatic AD groups based on clinical dementia rating (CDR) at 2 or more clinical assessments. The baseline TSPO radiotracer [11C]PK11195 was used to image microglial activation. Baseline CSF concentrations of Aβ42, Aβ42/Aβ40 ratio, tau phosphorylated at position 181 (p-tau181), and total tau (t-tau) were measured. Clinical and cognitive decline were examined with longitudinal CDR and cognitive composite scores (Global and Knight ADRC-Preclinical Alzheimer Cognitive Composite [Knight ADRC-PACC] Score). RESULTS Participants in the progressor and symptomatic AD groups had significantly elevated [11C]PK11195 standard uptake value ratios (SUVRs) in the hippocampus but not in the precuneus region. In the subcohort with CSF biomarkers (16 of the 24), significant negative correlations between CSF Aβ42 or Aβ42/Aβ40 and [11C]PK11195 SUVR were observed in the hippocampus and precuneus. No correlations were observed between [11C]PK11195 SUVR and CSF p-tau181 or t-tau at baseline in those regions. Higher baseline [11C]PK11195 SUVR averaged in the whole cortical regions predicted longitudinal decline on cognitive tests. DISCUSSION Microglial activation is increased in individuals with brain amyloidosis and predicts worsening cognition in AD. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that in patients with AD, higher baseline [11C]PK11195 SUVR averaged in the whole cortical regions was associated with longitudinal decline on cognitive tests.
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Affiliation(s)
- Qing Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Gengsheng Chen
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Suzanne E. Schindler
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Jon Christensen
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Nicole S. McKay
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Jingxia Liu
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Sicheng Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Zhexian Sun
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Jason Hassenstab
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Yi Su
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Shaney Flores
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Russ Hornbeck
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Lisa Cash
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Carlos Cruchaga
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Anne M. Fagan
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Zhude Tu
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - John C. Morris
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Mark A. Mintun
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Yong Wang
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
| | - Tammie L.S. Benzinger
- From the Mallinckrodt Institute of Radiology (Q.W., G.C., J.C., S.F., R.H., Z.T., Y.W., T.L.S.B.), Washington University School of Medicine; Knight Alzheimer Disease Research Center (Q.W., G.C., S.E.S., J.H., L.C., A.M.F., J.C.M., T.L.S.B.), Washington University School of Medicine; Department of Neurology (S.E.S., J.H., C.C., A.M.F., J.C.M.), Washington University School of Medicine; Department of Surgery (J.L.), Washington University School of Medicine; Department of Electrical and System Engineering (S.W., Y.W.), Washington University School of Med-icine; Department of Biomedical Engineering (Z.S., Y.W.), Washington University School of Medicine, St. Louis, MO; Banner Alzheimer's Institute and Arizona Alzheimer's Consortium (Y.S.), Phoenix, AZ; Department of Psychiatry (C.C.), Washington University School of Medicine, St. Louis, MO; Avid Radiopharmaceuticals (M.A.M.), Philadelphia, PA; Department of Obstetrics and Gynecology (Y.W.), Washington University School of Medicine; and Department of Neurosurgery (T.L.S.B.), Washington University School of Medicine, St. Louis, MO
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45
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Wang G, Li Y, Xiong C, McDade E, Clifford DB, Mills SL, Santacruz AM, Aschenbrenner AJ, Hassenstab J, Benzinger TL, Gordon BA, Fagan AM, Coalier KA, Libre‐Guerra JJ, McCullough A, Joseph‐Mathurin N, Chen CD, Mummery C, Wendelberger BA, Gauthier S, Masellis M, Holdridge KC, Yaari R, Chatterjee S, Sims J, Delmar P, Kerchner GA, Bittner T, Hofmann C, Bateman RJ. Evaluation of dose-dependent treatment effects after mid-trial dose escalation in biomarker, clinical, and cognitive outcomes for gantenerumab or solanezumab in dominantly inherited Alzheimer's disease. Alzheimers Dement (Amst) 2022; 14:e12367. [PMID: 36348972 PMCID: PMC9632865 DOI: 10.1002/dad2.12367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 09/21/2022] [Accepted: 09/28/2022] [Indexed: 11/05/2022]
Abstract
Introduction While the Dominantly Inherited Alzheimer Network Trials Unit (DIAN-TU) was ongoing, external data suggested higher doses were needed to achieve targeted effects; therefore, doses of gantenerumab were increased 5-fold, and solanezumab was increased 4-fold. We evaluated to what extent mid-trial dose increases produced a dose-dependent treatment effect. Methods Using generalized linear mixed effects (LME) models, we estimated the annual low- and high-dose treatment effects in clinical, cognitive, and biomarker outcomes. Results Both gantenerumab and solanezumab demonstrated dose-dependent treatment effects (significant for gantenerumab, non-significant for solanezumab) in their respective target amyloid biomarkers (Pittsburgh compound B positron emission tomography standardized uptake value ratio and cerebrospinal fluid amyloid beta 42), with gantenerumab demonstrating additional treatment effects in some downstream biomarkers. No dose-dependent treatment effects were observed in clinical or cognitive outcomes. Conclusions Mid-trial dose escalation can be implemented as a remedy for an insufficient initial dose and can be more cost effective and less burdensome to participants than starting a new trial with higher doses, especially in rare diseases. Highlights We evaluated the dose-dependent treatment effect of two different amyloid-specific immunotherapies.Dose-dependent treatment effects were observed in some biomarkers.No dose-dependent treatment effects were observed in clinical/cognitive outcomes, potentially due to the fact that the modified study may not have been powered to detect such treatment effects in symptomatic subjects at a mild stage of disease exposed to high (or maximal) doses of medication for prolonged durations.
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Affiliation(s)
- Guoqiao Wang
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | - Yan Li
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | - Chengjie Xiong
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | - Eric McDade
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | - David B. Clifford
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | - Susan L. Mills
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | - Anna M. Santacruz
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | | | - Jason Hassenstab
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | | | - Brian A. Gordon
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | - Anne M. Fagan
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | - Kelley A. Coalier
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | | | - Austin McCullough
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | | | - Charles D. Chen
- Washington University St LouisSchool of MedicineSt. LouisMissouriUSA
| | | | | | - Serge Gauthier
- McGill University Centre for Studies on Aging in MontrealMontrealQuebecCanada
| | - Mario Masellis
- University of TorontoSunnybrook Health Sciences CentreTorontoOntarioCanada
| | | | - Roy Yaari
- Eli Lilly and CompanyIndianapolisIndianaUSA
| | | | - John Sims
- Eli Lilly and CompanyIndianapolisIndianaUSA
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46
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Koenig LN, LaMontagne P, Glasser MF, Bateman R, Holtzman D, Yakushev I, Chhatwal J, Day GS, Jack C, Mummery C, Perrin RJ, Gordon BA, Morris JC, Shimony JS, Benzinger TL. Regional age-related atrophy after screening for preclinical alzheimer disease. Neurobiol Aging 2022; 109:43-51. [PMID: 34655980 PMCID: PMC9009406 DOI: 10.1016/j.neurobiolaging.2021.09.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/15/2021] [Accepted: 09/07/2021] [Indexed: 01/03/2023]
Abstract
Brain atrophy occurs in aging even in the absence of dementia, but it is unclear to what extent this is due to undetected preclinical Alzheimer disease. Here we examine a cross-sectional cohort (ages 18-88) free from confounding influence of preclinical Alzheimer disease, as determined by amyloid PET scans and three years of clinical evaluation post-imaging. We determine the regional strength of age-related atrophy using linear modeling of brain volumes and cortical thicknesses with age. Age-related atrophy was seen in nearly all regions, with greatest effects in the temporal lobe and subcortical regions. When modeling age with the estimated derivative of smoothed aging curves, we found that the temporal lobe declined linearly with age, subcortical regions declined faster at later ages, and frontal regions declined slower at later ages than during midlife. This age-derivative pattern was distinct from the linear measure of age-related atrophy and significantly associated with a measure of myelin. Atrophy did not detectably differ from a preclinical Alzheimer disease cohort when age ranges were matched.
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Affiliation(s)
- Lauren N. Koenig
- Department of Radiology, Washington Universit, St Louis, MO, USA
| | | | - Matthew F. Glasser
- Department of Radiology, Washington Universit, St Louis, MO, USA,Department of Neuroscience, Washington University School of Medicine, St Louis, MO USA
| | - Randall Bateman
- Department of Neurology, Washington University, St. Louis, MO, USA,Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA
| | - David Holtzman
- Department of Neurology, Washington University, St. Louis, MO, USA,Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA,Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA
| | - Igor Yakushev
- Department of Nuclear Medicine, Technical University of Munich, Munich, Germany
| | - Jasmeer Chhatwal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregory S Day
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Clifford Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Catherine Mummery
- Dementia Research Center, UCL Queen Square Institute of Neurology, London, UK
| | - Richard J. Perrin
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA,Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA,Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian A. Gordon
- Department of Neurology, Washington University, St. Louis, MO, USA,Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA,Department of Psychological & Brain Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - John C. Morris
- Department of Neurology, Washington University, St. Louis, MO, USA,Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA
| | | | - Tammie L.S. Benzinger
- Department of Radiology, Washington Universit, St Louis, MO, USA,Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA,Corresponding author at: University School of Medicine, 660 South Euclid, Campus 8131, St. Louis, MO 63110, Tel.: (314) 362-1558, fax: (314) 362-6110. (T.L.S. Benzinger)
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47
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Rahmani F, Wang Q, McKay NS, Keefe S, Hantler N, Hornbeck R, Wang Y, Hassenstab J, Schindler S, Xiong C, Morris JC, Benzinger TL, Raji CA. Sex-Specific Patterns of Body Mass Index Relationship with White Matter Connectivity. J Alzheimers Dis 2022; 86:1831-1848. [PMID: 35180116 PMCID: PMC9108572 DOI: 10.3233/jad-215329] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Obesity is an increasingly recognized modifiable risk factor for Alzheimer's disease (AD). Increased body mass index (BMI) is related to distinct changes in white matter (WM) fiber density and connectivity. OBJECTIVE We investigated whether sex differentially affects the relationship between BMI and WM structural connectivity. METHODS A cross-sectional sample of 231 cognitively normal participants were enrolled from the Knight Alzheimer Disease Research Center. Connectome analyses were done with diffusion data reconstructed using q-space diffeomorphic reconstruction to obtain the spin distribution function and tracts were selected using a deterministic fiber tracking algorithm. RESULTS We identified an inverse relationship between higher BMI and lower connectivity in the associational fibers of the temporal lobe in overweight and obese men. Normal to overweight women showed a significant positive association between BMI and connectivity in a wide array of WM fibers, an association that reversed in obese and morbidly obese women. Interaction analyses revealed that with increasing BMI, women showed higher WM connectivity in the bilateral frontoparietal and parahippocampal parts of the cingulum, while men showed lower connectivity in right sided corticostriatal and corticopontine tracts. Subgroup analyses demonstrated comparable results in participants with and without positron emission tomography or cerebrospinal fluid evidence of brain amyloidosis, indicating that the relationship between BMI and structural connectivity in men and women is independent of AD biomarker status. CONCLUSION BMI influences structural connectivity of WM differently in men and women across BMI categories and this relationship does not vary as a function of preclinical AD.
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Affiliation(s)
- Farzaneh Rahmani
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Qing Wang
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nicole S. McKay
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Sarah Keefe
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nancy Hantler
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Russ Hornbeck
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Yong Wang
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Jason Hassenstab
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Suzanne Schindler
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Chengjie Xiong
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - John C. Morris
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC), Washington University, St. Louis, MO, USA
| | - Cyrus A. Raji
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
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48
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Volluz KE, Schindler SE, Henson RL, Xiong C, Gordon BA, Benzinger TL, Holtzman DM, Morris JC, Fagan AM. Correspondence of CSF biomarkers measured by Lumipulse assays with amyloid PET. Alzheimers Dement 2021. [DOI: 10.1002/alz.051085] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Katherine E. Volluz
- Hope Center for Neurological Disorders Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Suzanne E. Schindler
- Hope Center for Neurological Disorders Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Rachel L. Henson
- Hope Center for Neurological Disorders Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Chengjie Xiong
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Brian A. Gordon
- Hope Center for Neurological Disorders Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Tammie L.S. Benzinger
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
- Mallinckrodt Institute of Radiology Saint Louis MO USA
| | - David M. Holtzman
- Hope Center for Neurological Disorders Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - John C. Morris
- Hope Center for Neurological Disorders Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Anne M. Fagan
- Hope Center for Neurological Disorders Saint Louis MO USA
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
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49
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Wilks HM, Aschenbrenner AJ, Gordon BA, Balota DA, Fagan AM, Balls‐Berry JE, Benzinger TL, Cruchaga C, Morris JC, Hassenstab J. Sharper in the morning: Cognitive sundowning revealed with high‐frequency smartphone testing. Alzheimers Dement 2021. [DOI: 10.1002/alz.054383] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Hannah M Wilks
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Andrew J. Aschenbrenner
- Washington University in St. Louis St. Louis MO USA
- Washington University in St. Louis St. Louis MO USA
| | - Brian A. Gordon
- Washington University School of Medicine Saint Louis MO USA
- Washington University in St. Louis St. Louis MO USA
| | - David A. Balota
- Washington University School of Medicine Saint Louis MO USA
- Knight Alzheimer Disease Research Center St. Louis MO USA
| | - Anne M. Fagan
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Joyce E Balls‐Berry
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University School of Medicine Saint Louis MO USA
| | - Tammie L.S. Benzinger
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University Saint Louis MO USA
| | - Carlos Cruchaga
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University St. Louis MO USA
| | - John C. Morris
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University in St. Louis Saint Louis MO USA
| | - Jason Hassenstab
- Knight Alzheimer Disease Research Center Saint Louis MO USA
- Washington University in St. Louis St. Louis MO USA
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50
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Luckett PH, Chen CD, Gordon BA, McDade E, Benzinger TL, Bateman RJ, Ances BM. Clustering biomarkers in dominantly inherited Alzheimer’s disease. Alzheimers Dement 2021. [DOI: 10.1002/alz.052149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
| | - Charles D. Chen
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Brian A. Gordon
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | - Eric McDade
- Washington University in St. Louis School of Medicine St. Louis MO USA
| | | | | | - Beau M. Ances
- Washington University in St. Louis School of Medicine St. Louis MO USA
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