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Taghvaei M, Mechanic-Hamilton DJ, Sadaghiani S, Shakibajahromi B, Dolui S, Das S, Brown C, Tackett W, Khandelwal P, Cook P, Shinohara RT, Yushkevich P, Bassett DS, Wolk DA, Detre JA. Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI participants. Neurobiol Aging 2024; 135:79-90. [PMID: 38262221 PMCID: PMC10872454 DOI: 10.1016/j.neurobiolaging.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 10/19/2023] [Accepted: 10/22/2023] [Indexed: 01/25/2024]
Abstract
We used indirect brain mapping with virtual lesion tractography to test the hypothesis that the extent of white matter tract disconnection due to white matter hyperintensities (WMH) is associated with corresponding tract-specific cognitive performance decrements. To estimate tract disconnection, WMH masks were extracted from FLAIR MRI data of 481 cognitively intact participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) and used as regions of avoidance for fiber tracking in diffusion MRI data from 50 healthy young participants from the Human Connectome Project. Estimated tract disconnection in the right inferior fronto-occipital fasciculus, right frontal aslant tract, and right superior longitudinal fasciculus mediated the effects of WMH volume on executive function. Estimated tract disconnection in the left uncinate fasciculus mediated the effects of WMH volume on memory and in the right frontal aslant tract on language. In a subset of ADNI control participants with amyloid data, positive status increased the probability of periventricular WMH and moderated the relationship between WMH burden and tract disconnection in executive function performance.
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Affiliation(s)
- Mohammad Taghvaei
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | - Sudipto Dolui
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sandhitsu Das
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Brown
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - William Tackett
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Pulkit Khandelwal
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip Cook
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul Yushkevich
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle S Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
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Luo J, Ma Y, Agboola FJ, Grant E, Morris JC, McDade E, Fagan AM, Benzinger TLS, Hassenstab J, Bateman RJ, Perrin RJ, Gordon BA, Goyal M, Strain JF, Yakushev I, Day GS, Xiong C. Longitudinal Relationships of White Matter Hyperintensities and Alzheimer Disease Biomarkers Across the Adult Life Span. Neurology 2023; 101:e164-e177. [PMID: 37202169 PMCID: PMC10351551 DOI: 10.1212/wnl.0000000000207378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 03/20/2023] [Indexed: 05/20/2023] Open
Abstract
BACKGROUND AND OBJECTIVES White matter hyperintensities (WMH) correlate with Alzheimer disease (AD) biomarkers cross-sectionally and modulate AD pathogenesis. Longitudinal changes have been reported for AD biomarkers, including concentrations of CSF β-amyloid (Aβ) 42, Aβ40, total tau and phosphorylated tau181, standardized uptake value ratio from the molecular imaging of cerebral fibrillar Aβ with PET using [11C] Pittsburgh Compound-B, MRI-based hippocampal volume, and cortical thickness. Correlations between established AD biomarkers and the longitudinal change for WMH have not been fully evaluated, especially among cognitively normal individuals across the adult life span. METHODS We jointly analyzed the longitudinal data of WMH volume and each of the established AD biomarkers and cognition from 371 cognitively normal individuals whose baseline age spanned from 19.6 to 88.20 years from 4 longitudinal studies of aging and AD. A 2-stage algorithm was applied to identify the inflection point of baseline age whereby older participants had an accelerated longitudinal change in WMH volume, in comparison with the younger participants. The longitudinal correlations between WMH volume and AD biomarkers were estimated from the bivariate linear mixed-effects models. RESULTS A longitudinal increase in WMH volume was associated with a longitudinal increase in PET amyloid uptake and a decrease in MRI hippocampal volume, cortical thickness, and cognition. The inflection point of baseline age in WMH volume was identified at 60.46 (95% CI 56.43-64.49) years, with the annual increase for the older participants (83.12 [SE = 10.19] mm3 per year) more than 13 times faster (p < 0.0001) than that for the younger participants (6.35 [SE = 5.63] mm3 per year). Accelerated rates of change among the older participants were similarly observed in almost all the AD biomarkers. Longitudinal correlations of WMH volume with MRI, PET amyloid biomarkers, and cognition seemed to be numerically stronger for the younger participants, but not significantly different from those for the older participants. Carrying APOE ε4 alleles did not alter the longitudinal correlations between WMH and AD biomarkers. DISCUSSION Longitudinal increases in WMH volume started to accelerate around a baseline age of 60.46 years and correlated with the longitudinal change in PET amyloid uptake, MRI structural outcomes, and cognition.
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Affiliation(s)
- Jingqin Luo
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Yinjiao Ma
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Folasade Jane Agboola
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Elizabeth Grant
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - John C Morris
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Eric McDade
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Anne M Fagan
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Tammie L S Benzinger
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Jason Hassenstab
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Randall J Bateman
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Richard J Perrin
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Brian A Gordon
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Manu Goyal
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Jeremy F Strain
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Igor Yakushev
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Gregory S Day
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL
| | - Chengjie Xiong
- From the Division of Public Health Sciences (J.L.), Department of Surgery, Siteman Cancer Center Biostatistics Core (J.L.), Division of Biostatistics (J.L., Y.M., F.J.A., E.G., C.X.), Knight Alzheimer Disease Research Center (Y.M., F.J.A., E.G., J.C.M., A.M.F., T.L.S.B., J.H., R.J.B., R.J.P., B.A.G., C.X.), Department of Neurology (J.C.M., E.M., A.M.F., J.H., R.J.B., R.J.P., M.G., J.F.S.), Department of Pathology and Immunology (J.C.M., R.J.P.), and Department of Radiology (T.L.S.B., B.A.G., M.G.), Washington University School of Medicine, St. Louis, MO; Department of Nuclear Medicine (I.Y.), and Klinikum rechts der Isar (I.Y.), School of Medicine, Neuroimaging Center (TUM-NIC), Technical University of Munich, Germany; and Department of Neurology (G.S.D.), Mayo Clinic, Jacksonville, FL.
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Park HJ, Lee JY, Yang JJ, Kim HJ, Kim YS, Kim JY, Choi YY. Prediction of Amyloid β-Positivity with both MRI Parameters and Cognitive Function Using Machine Learning. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2023; 84:638-652. [PMID: 37325007 PMCID: PMC10265247 DOI: 10.3348/jksr.2022.0084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 09/05/2022] [Accepted: 10/02/2022] [Indexed: 06/17/2023]
Abstract
Purpose To investigate the MRI markers for the prediction of amyloid β (Aβ)-positivity in mild cognitive impairment (MCI) and Alzheimer's disease (AD), and to evaluate the differences in MRI markers between Aβ-positive (Aβ [+]) and -negative groups using the machine learning (ML) method. Materials and Methods This study included 139 patients with MCI and AD who underwent amyloid PET-CT and brain MRI. Patients were divided into Aβ (+) (n = 84) and Aβ-negative (n = 55) groups. Visual analysis was performed with the Fazekas scale of white matter hyperintensity (WMH) and cerebral microbleeds (CMB) scores. The WMH volume and regional brain volume were quantitatively measured. The multivariable logistic regression and ML using support vector machine, and logistic regression were used to identify the best MRI predictors of Aβ-positivity. Results The Fazekas scale of WMH (p = 0.02) and CMB scores (p = 0.04) were higher in Aβ (+). The volumes of hippocampus, entorhinal cortex, and precuneus were smaller in Aβ (+) (p < 0.05). The third ventricle volume was larger in Aβ (+) (p = 0.002). The logistic regression of ML showed a good accuracy (81.1%) with mini-mental state examination (MMSE) and regional brain volumes. Conclusion The application of ML using the MMSE, third ventricle, and hippocampal volume is helpful in predicting Aβ-positivity with a good accuracy.
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Wu M, Schweitzer N, Iordanova BE, Halligan-Eddy E, Tudorascu DL, Mathis CA, Lopresti BJ, Kamboh MI, Cohen AD, Snitz BE, Klunk WE, Aizenstein HJ. In Pre-Clinical AD Small Vessel Disease is Associated With Altered Hippocampal Connectivity and Atrophy. Am J Geriatr Psychiatry 2023; 31:112-123. [PMID: 36274019 PMCID: PMC10768933 DOI: 10.1016/j.jagp.2022.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 09/16/2022] [Accepted: 09/20/2022] [Indexed: 01/25/2023]
Abstract
OBJECTIVE Small Vessel Disease (SVD) is known to be associated with higher AD risk, but its relationship to amyloidosis in the progression of AD is unclear. In this cross-sectional study of cognitively normal older adults, we explored the interactive effects of SVD and amyloid-beta (Aβ) pathology on hippocampal functional connectivity during an associative encoding task and on hippocampal volume. METHODS This study included 61 cognitively normal older adults (age range: 65-93 years, age mean ± standard deviation: 75.8 ± 6.4, 41 [67.2%] female). PiB PET, T2-weighted FLAIR, T1-weighted and face-name fMRI images were acquired on each participant to evaluate brain Aβ, white matter hyperintensities (WMH+/- status), gray matter density, and hippocampal functional connectivity. RESULTS We found that, in WMH (+) older adults greater Aβ burden was associated with greater hippocampal local connectivity (i.e., hippocampal-parahippocampal connectivity) and lower gray matter density in medial temporal lobe (MTL), whereas in WMH (-) older adults greater Aβ burden was associated with greater hippocampal distal connectivity (i.e., hippocampal-prefrontal connectivity) and no changes in MTL gray matter density. Moreover, greater hippocampal local connectivity was associated with MTL atrophy. CONCLUSION These observations support a hippocampal excitotoxicity model linking SVD to neurodegeneration in preclinical AD. This may explain how SVD may accelerate the progression from Aβ positivity to neurodegeneration, and subsequent AD.
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Affiliation(s)
- Minjie Wu
- Department of Psychiatry (MW, EHE, DLT, ADC, WEK, HJA), University of Pittsburgh, Pittsburgh, PA.
| | - Noah Schweitzer
- Department of Bioengineering (NS, BEI, HJA), University of Pittsburgh, Pittsburgh, PA
| | - Bistra E Iordanova
- Department of Bioengineering (NS, BEI, HJA), University of Pittsburgh, Pittsburgh, PA
| | - Edythe Halligan-Eddy
- Department of Psychiatry (MW, EHE, DLT, ADC, WEK, HJA), University of Pittsburgh, Pittsburgh, PA
| | - Dana L Tudorascu
- Department of Psychiatry (MW, EHE, DLT, ADC, WEK, HJA), University of Pittsburgh, Pittsburgh, PA; Departments of Medicine and Biostatistics (DLT), University of Pittsburgh, Pittsburgh, PA
| | - Chester A Mathis
- Department of Radiology (CAM, BJL), University of Pittsburgh, Pittsburgh, PA
| | - Brian J Lopresti
- Department of Radiology (CAM, BJL), University of Pittsburgh, Pittsburgh, PA
| | - M Ilyas Kamboh
- Department of Human Genetics (MIK), University of Pittsburgh, Pittsburgh, PA
| | - Ann D Cohen
- Department of Psychiatry (MW, EHE, DLT, ADC, WEK, HJA), University of Pittsburgh, Pittsburgh, PA
| | - Beth E Snitz
- Department of Neurology (BES), University of Pittsburgh, Pittsburgh, PA
| | - William E Klunk
- Department of Psychiatry (MW, EHE, DLT, ADC, WEK, HJA), University of Pittsburgh, Pittsburgh, PA
| | - Howard J Aizenstein
- Department of Psychiatry (MW, EHE, DLT, ADC, WEK, HJA), University of Pittsburgh, Pittsburgh, PA; Department of Bioengineering (NS, BEI, HJA), University of Pittsburgh, Pittsburgh, PA
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Edwards L, Thomas KR, Weigand AJ, Edmonds EC, Clark AL, Walker KS, Brenner EK, Nation DA, Maillard P, Bondi MW, Bangen KJ. White Matter Hyperintensity Volume and Amyloid-PET Synergistically Impact Memory Independent of Tau-PET in Older Adults Without Dementia. J Alzheimers Dis 2023; 94:695-707. [PMID: 37302031 PMCID: PMC10357163 DOI: 10.3233/jad-221209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/06/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) and cerebrovascular disease are common, co-existing pathologies in older adults. Whether the effects of cerebrovascular disease and AD biomarkers on cognition are additive or synergistic remains unclear. OBJECTIVE To examine whether white matter hyperintensity (WMH) volume moderates the independent association between each AD biomarker and cognition. METHODS In 586 older adults without dementia, linear regressions tested the interaction between amyloid-β (Aβ) positron emission tomography (PET) and WMH volume on cognition, independent of tau-PET. We also tested the interaction between tau-PET and WMH volume on cognition, independent of Aβ-PET. RESULTS Adjusting for tau-PET, the quadratic effect of WMH interacted with Aβ-PET to impact memory. There was no interaction between either the linear or quadratic effect of WMH and Aβ-PET on executive function. There was no interaction between WMH volume and tau-PET on either cognitive measure. CONCLUSION Results suggest that cerebrovascular lesions act synergistically with Aβ to affect memory, independent of tau, highlighting the importance of incorporating vascular pathology into biomarker assessment of AD.
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Affiliation(s)
- Lauren Edwards
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Kelsey R. Thomas
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Alexandra J. Weigand
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Emily C. Edmonds
- Banner Alzheimer’s Institute, Tucson, AZ, USA
- Department of Psychology, University of Arizona, Tucson, AZ, USA
| | - Alexandra L. Clark
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | | | - Einat K. Brenner
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Daniel A. Nation
- Department of Psychology, University of California Irvine, Irvine, CA, USA
| | - Pauline Maillard
- Department of Neurology, University of California, Davis, Davis, CA, USA
| | - Mark W. Bondi
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Psychology Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Katherine J. Bangen
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
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6
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Gao Y, Duan X, Li W, Zhang X, Xian X, Zhu Y, Wang H. Elevated Homocysteine Levels and Hypertension Relate to Cognitive Impairment via Increased White Matter Hyperintensity Volume. J Alzheimers Dis 2023; 96:1739-1746. [PMID: 38007660 DOI: 10.3233/jad-230687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
BACKGROUND Recent studies have identified a relationship between elevated homocysteine levels and hypertension (HTN) with Alzheimer's disease (AD), but its pathogenesis remains unclear. OBJECTIVE To evaluate elevated homocysteine levels and HTN as risk factors for cognitive impairment (CI) and determine their relationship with white matter hyperintensity (WMH) volume. METHODS A total of 521 subjects were selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database and divided into two groups according to the diagnostic criteria of the ADNI database. The CI group included 370 subjects, consisting of 122 with AD and 248 with mild CI, while the cognitively normal (CN) group contained 151 subjects. The history of HTN, homocysteine levels, WMH volume and Mini-Mental State Examination (MMSE) scores were analyzed. RESULTS The study found that patients with CI had higher homocysteine levels than those with CN. Additionally, WMH volume was significantly correlated with homocysteine levels in CI patients, and MMSE scores decreased as WMH volume increased. Further analysis revealed that CI patients with HTN had significantly higher homocysteine levels than those without HTN. Furthermore, the correlation between WMH volume and homocysteine levels was significant only in CI patients with HTN and not in those without HTN. In CN patients, there was no correlation between WMH volume and homocysteine levels in either the HTN or non-HTN groups, and no difference was observed in homocysteine levels. CONCLUSIONS It is indicated that elevated homocysteine levels in conjunction with HTN are associated with the increased volume of WMHs and CI.
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Affiliation(s)
- Yuan Gao
- Department of Neurology, The First Hospital of Hebei Medical University, Brain Aging and Cognitive Neuroscience Laboratory of Hebei Province, Shijiazhuang, Hebei, China
- Department of Cell Biology, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xiaocui Duan
- Department of Cell Biology, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Wanlin Li
- Department of Neurology, The First Hospital of Hebei Medical University, Brain Aging and Cognitive Neuroscience Laboratory of Hebei Province, Shijiazhuang, Hebei, China
| | - Xiaoyu Zhang
- Department of Neurology, The First Hospital of Hebei Medical University, Brain Aging and Cognitive Neuroscience Laboratory of Hebei Province, Shijiazhuang, Hebei, China
| | - Xiaohui Xian
- Department of Pathophysiology, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yuan Zhu
- Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine Geriatrics Department, Shanghai, China
| | - Hualong Wang
- Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine Geriatrics Department, Shanghai, China
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7
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Keuss SE, Coath W, Nicholas JM, Poole T, Barnes J, Cash DM, Lane CA, Parker TD, Keshavan A, Buchanan SM, Wagen AZ, Storey M, Harris M, Malone IB, Sudre CH, Lu K, James SN, Street R, Thomas DL, Dickson JC, Murray-Smith H, Wong A, Freiberger T, Crutch S, Richards M, Fox NC, Schott JM. Associations of β-Amyloid and Vascular Burden With Rates of Neurodegeneration in Cognitively Normal Members of the 1946 British Birth Cohort. Neurology 2022; 99:e129-e141. [PMID: 35410910 PMCID: PMC9280996 DOI: 10.1212/wnl.0000000000200524] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 03/01/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The goals of this work were to quantify the independent and interactive associations of β-amyloid (Aβ) and white matter hyperintensity volume (WMHV), a marker of presumed cerebrovascular disease (CVD), with rates of neurodegeneration and to examine the contributions of APOE ε4 and vascular risk measured at different stages of adulthood in cognitively normal members of the 1946 British Birth Cohort. METHODS Participants underwent brain MRI and florbetapir-Aβ PET as part of Insight 46, an observational population-based study. Changes in whole-brain, ventricular, and hippocampal volume were directly measured from baseline and repeat volumetric T1 MRI with the boundary shift integral. Linear regression was used to test associations with baseline Aβ deposition, baseline WMHV, APOE ε4, and office-based Framingham Heart Study Cardiovascular Risk Score (FHS-CVS) and systolic blood pressure (BP) at ages 36, 53, and 69 years. RESULTS Three hundred forty-six cognitively normal participants (mean [SD] age at baseline scan 70.5 [0.6] years; 48% female) had high-quality T1 MRI data from both time points (mean [SD] scan interval 2.4 [0.2] years). Being Aβ positive at baseline was associated with 0.87-mL/y faster whole-brain atrophy (95% CI 0.03, 1.72), 0.39-mL/y greater ventricular expansion (95% CI 0.16, 0.64), and 0.016-mL/y faster hippocampal atrophy (95% CI 0.004, 0.027), while each 10-mL additional WMHV at baseline was associated with 1.07-mL/y faster whole-brain atrophy (95% CI 0.47, 1.67), 0.31-mL/y greater ventricular expansion (95% CI 0.13, 0.60), and 0.014-mL/y faster hippocampal atrophy (95% CI 0.006, 0.022). These contributions were independent, and there was no evidence that Aβ and WMHV interacted in their effects. There were no independent associations of APOE ε4 with rates of neurodegeneration after adjustment for Aβ status and WMHV, no clear relationships between FHS-CVS or systolic BP and rates of neurodegeneration when assessed across the whole sample, and no evidence that FHS-CVS or systolic BP acted synergistically with Aβ. DISCUSSION Aβ and presumed CVD have distinct and additive effects on rates of neurodegeneration in cognitively normal elderly. These findings have implications for the use of MRI measures as biomarkers of neurodegeneration and emphasize the importance of risk management and early intervention targeting both pathways.
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Affiliation(s)
- Sarah E Keuss
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - William Coath
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Jennifer M Nicholas
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Teresa Poole
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Josephine Barnes
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - David M Cash
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Christopher A Lane
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Thomas D Parker
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Ashvini Keshavan
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Sarah M Buchanan
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Aaron Z Wagen
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Mathew Storey
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Matthew Harris
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Ian B Malone
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Carole H Sudre
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Kirsty Lu
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Sarah-Naomi James
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Rebecca Street
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - David L Thomas
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - John C Dickson
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Heidi Murray-Smith
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Andrew Wong
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Tamar Freiberger
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Sebastian Crutch
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Marcus Richards
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Nick C Fox
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Jonathan M Schott
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK.
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Cao Z, Mai Y, Fang W, Lei M, Luo Y, Zhao L, Liao W, Yu Q, Xu J, Ruan Y, Xiao S, Mok VCT, Shi L, Liu J. The Correlation Between White Matter Hyperintensity Burden and Regional Brain Volumetry in Patients With Alzheimer's Disease. Front Hum Neurosci 2022; 16:760360. [PMID: 35774484 PMCID: PMC9237397 DOI: 10.3389/fnhum.2022.760360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
Background White matter hyperintensities (WMHs) and regional brain lobe atrophy coexist in the brain of patients with Alzheimer's disease (AD), but the association between them in patients with AD still lacks comprehensive investigation and solid imaging data support. Objective We explored whether WMHs can promote the pathological process of AD by aggravating atrophy in specific brain regions and tried to explain the regional specificity of these relationships. Methods A sample of 240 adults including 180 normal controls (NCs) and 80 cases with AD were drawn from the ADNI database. T1-weighted magnetic resonance imaging (MRI) and T2-weighted fluid-attenuated MRI of the participants were downloaded and were analyzed using AccuBrain® to generate the quantitative ratio of WMHs (WMHr, WMH volumes corrected by intracranial volume) and regional brain atrophy. We also divided WMHr into periventricular WMHr (PVWMHr) and deep WMHr (DWMHr) for the purpose of this study. The Cholinergic Pathways Hyperintensities Scale (CHIPS) scores were conducted by two evaluators. Independent t-test, Mann–Whitney U test, or χ2 test were used to compare the demographic characteristics, and Spearman correlation coefficient values were used to determine the association between WMHs and different regions of brain atrophy. Results Positive association between WMHr and quantitative medial temporal lobe atrophy (QMTA) (rs = 0.281, p = 0.011), temporal lobe atrophy (rs = 0.285, p = 0.011), and insular atrophy (rs = 0.406, p < 0.001) was found in the AD group before Bonferroni correction. PVWMHr contributed to these correlations. By separately analyzing the relationship between PVWMHr and brain atrophy, we found that there were still positive correlations after correction in QMTA (rs = 0.325, p = 0.003), temporal lobe atrophy (rs = 0.298, p = 0.007), and insular atrophy (rs = 0.429, p < 0.001) in AD group. Conclusion WMH severity tends to be associated with regional brain atrophy in patients with AD, especially with medial temporal lobe, temporal lobe, and insular lobe atrophy. PVWMHs were devoted to these correlations.
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Affiliation(s)
- Zhiyu Cao
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yingren Mai
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Wenli Fang
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ming Lei
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yishan Luo
- BrainNow Research Institute, Shenzhen, China
| | - Lei Zhao
- BrainNow Research Institute, Shenzhen, China
| | - Wang Liao
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qun Yu
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiaxin Xu
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yuting Ruan
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Songhua Xiao
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Vincent C. T. Mok
- BrainNow Research Institute, Shenzhen, China
- Division of Neurology, Department of Medicine and Therapeutics, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Lin Shi
- BrainNow Research Institute, Shenzhen, China
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- *Correspondence: Lin Shi
| | - Jun Liu
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Jun Liu
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Kuriyama N, Koyama T, Ozaki E, Saito S, Ihara M, Matsui D, Watanabe I, Kondo M, Marunaka Y, Takada A, Akazawa K, Tomida S, Nagamitsu R, Miyatani F, Miyake M, Nakano E, Kobayashi D, Watanabe Y, Mizuno S, Maekawa M, Yoshida T, Nukaya Y, Mizuno T, Yamada K, Uehara R. Association Between Cerebral Microbleeds and Circulating Levels of Mid-Regional Pro-Adrenomedullin. J Alzheimers Dis 2022; 88:731-741. [DOI: 10.3233/jad-220195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Mid-regional pro-adrenomedullin (MR-proADM) is a novel biomarker for cognitive decline based on its association with cerebral small vessel disease (SVD). Cerebral microbleeds (MBs) are characteristic of SVD; however, a direct association between MR-proADM and MBs has not been explored. Objective: We aimed to examine whether circulating levels of MR-proADM are associated with the identification of MBs by brain magnetic resonance imaging (MRI) and whether this association could be linked with cognitive impairment. Methods: In total, 214 participants (mean age: 75.9 years) without history of cerebral infarction or dementia were prospectively enrolled. All participants underwent brain MRI, higher cognitive function testing, blood biochemistry evaluation, lifestyle examination, and blood MR-proADM measurement using a time-resolved amplified cryptate emission technology assay. For between-group comparisons, the participants were divided into two groups according to whether their levels of MR-proADM were normal (< 0.65 nmol/L) or high (≥0.65 nmol/L). Results: The mean MR-proADM level was 0.515±0.127 nmol/L. There were significant between-group differences in age, hypertension, and HbA1c levels (p < 0.05). In the high MR-proADM group, the MR-proADM level was associated with the identification of MBs on brain MR images and indications of mild cognitive impairment (MCI). In participants with ≥3 MBs and MCI, high MR-proADM levels remained a risk factor after multivariate adjustment (OR: 2.94; p < 0.05). Conclusion: High levels of MR-proADM may be a surrogate marker for the early detection of cognitive decline associated with the formation of cerebral MBs. This marker would be valuable during routine clinical examinations of geriatric patients.
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Affiliation(s)
- Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Social Health Medicine, Shizuoka Graduate University of Public Health
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satoshi Saito
- Department of Stroke and Cerebrovascular Diseases, Division of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Masafumi Ihara
- Department of Stroke and Cerebrovascular Diseases, Division of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Isao Watanabe
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masaki Kondo
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yoshinori Marunaka
- Medical Research Institute, Kyoto Industrial Health Association, Kyoto, Japan
- Research Center for Drug Discovery and Pharmaceutical Development Science, Research Organization of Science and Technology, Ritsumeikan University, Kusatsu, Japan
| | - Akihiro Takada
- Medical Research Institute, Kyoto Industrial Health Association, Kyoto, Japan
| | - Kentaro Akazawa
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satomi Tomida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Reo Nagamitsu
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Fumitaro Miyatani
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masahiro Miyake
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Eri Nakano
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Daiki Kobayashi
- Division of General Internal Medicine, Department of Medicine, St. Luke’s International Hospital, Tokyo, Japan
| | - Yoshiyuki Watanabe
- Faculty of Health and Medical Sciences, Kyoto University of Advanced Science
| | - Shigeto Mizuno
- Department of Endoscopy, Kindai University Nara Hospital, Nara Prefecture, Japan
| | - Mizuho Maekawa
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tamami Yoshida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yukiko Nukaya
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Toshiki Mizuno
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kei Yamada
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Ritei Uehara
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Differential Effects of White Matter Hyperintensities and Regional Amyloid Deposition on Regional Cortical Thickness. Neurobiol Aging 2022; 115:12-19. [DOI: 10.1016/j.neurobiolaging.2022.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 03/12/2022] [Accepted: 03/17/2022] [Indexed: 11/22/2022]
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Wong FCC, Saffari SE, Yatawara C, Ng KP, Kandiah N. Influence of White Matter Hyperintensities on Baseline and Longitudinal Amyloid-β in Cognitively Normal Individuals. J Alzheimers Dis 2021; 84:91-101. [PMID: 34511497 DOI: 10.3233/jad-210333] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The associations between small vessel disease (SVD) and cerebrospinal amyloid-β1-42 (Aβ1-42) pathology have not been well-elucidated. OBJECTIVE Baseline (BL) white matter hyperintensities (WMH) were examined for associations with month-24 (M24) and longitudinal Aβ1-42 change in cognitively normal (CN) subjects. The interaction of WMH and Aβ1-42 on memory and executive function were also examined. METHODS This study included 72 subjects from the Alzheimer's Disease Neuroimaging Initiative. Multivariable linear regression models evaluated associations between baseline WMH/intracranial volume ratio, M24 and change in Aβ1-42 over two years. Linear mixed effects models evaluated interactions between BL WMH/ICV and Aβ1-42 on memory and executive function. RESULTS Mean age of the subjects (Nmales = 36) = 73.80 years, SD = 6.73; mean education years = 17.1, SD = 2.4. BL WMH was significantly associated with M24 Aβ1-42 (p = 0.008) and two-year change in Aβ1-42 (p = 0.006). Interaction between higher WMH and lower Aβ1-42 at baseline was significantly associated with worse memory at baseline and M24 (p = 0.003). CONCLUSION BL WMH was associated with M24 and longitudinal Aβ1-42 change in CN. The interaction between higher WMH and lower Aβ1-42 was associated with poorer memory. Since SVD is associated with longitudinal Aβ1-42 pathology, and the interaction of both factors is linked to poorer cognitive outcomes, the mitigation of SVD may be correlated with reduced amyloid pathology and milder cognitive deterioration in Alzheimer's disease.
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Affiliation(s)
| | - Seyed Ehsan Saffari
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.,Centre for Quantitative Medicine, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Chathuri Yatawara
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Kok Pin Ng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Nagaendran Kandiah
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
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Development of a protocol to assess within-subject, regional white matter hyperintensity changes in aging and dementia. J Neurosci Methods 2021; 360:109270. [PMID: 34171312 DOI: 10.1016/j.jneumeth.2021.109270] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 06/14/2021] [Accepted: 06/18/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND White matter hyperintensities (WMH), associated with both dementia risk and progression, can individually progress, remain stable, or even regress influencing cognitive decline related to specific cerebrovascular-risks. This study details the development and validation of a registration protocol to assess regional, within-subject, longitudinal WMH changes (ΔWMH) that is currently lacking in the field. NEW METHOD 3D-FLAIR images (baseline and one-year-visit) were used for protocol development and validation. The method was validated by assessing the correlation between forward and reverse longitudinal registration, and between summated regional progression-regression volumes and Global ΔWMH. The clinical relevance of growth-regression ΔWMH were explored in relation to an executive function test. RESULTS MRI scans for 79 participants (73.5 ± 8.8 years) were used in this study. Global ΔWMH vs. summated regional progression-regression volumes were highly associated (r2 = 0.90; p-value < 0.001). Bi-directional registration validated the registration method (r2 = 0.999; p-value < 0.001). Growth and regression, but not overall ΔWMH, were associated with one-year declines in performance on Trial-Making-Test-B. COMPARISON WITH EXISTING METHOD(S) This method presents a unique registration protocol for maximum tissue alignment, demonstrating three distinct patterns of longitudinal within-subject ΔWMH (stable, growth and regression). CONCLUSIONS These data detail the development and validation of a registration protocol for use in assessing within-subject, voxel-level alterations in WMH volume. The methods developed for registration and intensity correction of longitudinal within-subject FLAIR images allow regional and within-lesion characterization of longitudinal ΔWMH. Assessing the impact of associated cerebrovascular-risks and longitudinal clinical changes in relation to dynamic regional ΔWMH is needed in future studies.
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Kim JS, Lee S, Kim GE, Oh DJ, Moon W, Bae JB, Han JW, Byun S, Suh SW, Choi YY, Choi KY, Lee KH, Kim JH, Kim KW. Construction and validation of a cerebral white matter hyperintensity probability map of older Koreans. NEUROIMAGE-CLINICAL 2021; 30:102607. [PMID: 33711622 PMCID: PMC7972979 DOI: 10.1016/j.nicl.2021.102607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 02/09/2021] [Accepted: 02/15/2021] [Indexed: 12/04/2022]
Abstract
We constructed WPM from healthy elderly Koreans. WPM may serve as a tool to study pathology and normal aging of distribution of WMH. WPM provides a prominent atlas of the age related distribution of WMH.
Background and purpose Although two white matter hyperintensity (WMH) probability maps of healthy older adults already exist, they have several limitations in representing the distribution of WMH in healthy older adults, especially Asian older adults. We constructed and validated a WMH probability map (WPM) of healthy older Koreans and examined the age-associated differences of WMH. Methods We constructed WPM using development dataset that consisted of high-resolution 3D fluid-attenuated inversion recovery images of 5 age groups (60–64 years, 65–69 years, 70–74 years, 75–79 years, and 80+ years). Each age group included 30 age-matched men and women each. We tested the validity of the WPM by comparing WMH ages estimated by the WPM and the chronological ages of 30 healthy controls, 30 hypertension patients, and 30 S patients. Results Older age groups showed a higher volume of WMH in both hemispheres (p < 0.001). About 90% of the WMH were periventricular in all age groups. With advancing age, the peak of the distance histogram from the ventricular wall of the periventricular WMH shifted away from the ventricular wall, while that of deep WMH shifted toward the ventricular wall. The estimated WMH ages were comparable to the chronological ages in the healthy controls, while being higher than the chronological ages in hypertension and stroke patients. Conclusions This WPM may serve as a standard atlas in research on WMH of older adults, especially Asians.
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Affiliation(s)
- Jun Sung Kim
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Subin Lee
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Grace Eun Kim
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Dae Jong Oh
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Woori Moon
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Jong Bin Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Seonjeong Byun
- Department of Neuropsychiatry, National Medical Center, Seoul, South Korea
| | - Seung Wan Suh
- Department of Psychiatry, College of Medicine, Hallym University, Kangdong Sacred Heart Hospital, Seoul, South Korea
| | - Yu Yong Choi
- National Research Center for Dementia, Chosun University, Gwangju, South Korea; Biomedical Technology Center, Chosun University Hospital, Gwangju, South Korea
| | - Kyu Yeong Choi
- National Research Center for Dementia, Chosun University, Gwangju, South Korea
| | - Kun Ho Lee
- National Research Center for Dementia, Chosun University, Gwangju, South Korea; Department of Biomedical Science, Chosun University, Gwangju, South Korea
| | - Jae Hyoung Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggido, South Korea
| | - Ki Woong Kim
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea; Department of Neuropsychiatry, Seoul National University Bundang Hospital, Gyeonggido, South Korea; Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea.
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14
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Garnier-Crussard A, Bougacha S, Wirth M, André C, Delarue M, Landeau B, Mézenge F, Kuhn E, Gonneaud J, Chocat A, Quillard A, Ferrand-Devouge E, de La Sayette V, Vivien D, Krolak-Salmon P, Chételat G. White matter hyperintensities across the adult lifespan: relation to age, Aβ load, and cognition. ALZHEIMERS RESEARCH & THERAPY 2020; 12:127. [PMID: 33032654 PMCID: PMC7545576 DOI: 10.1186/s13195-020-00669-4] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 08/17/2020] [Indexed: 11/16/2022]
Abstract
Background White matter hyperintensities (WMH) are very frequent in older adults and associated with worse cognitive performance. Little is known about the links between WMH and vascular risk factors, cortical β-amyloid (Aβ) load, and cognition in cognitively unimpaired adults across the entire lifespan, especially in young and middle-aged adults. Methods One hundred and thirty-seven cognitively unimpaired adults from the community were enrolled (IMAP cohort). Participants underwent (i) a comprehensive neuropsychological assessment of episodic memory, processing speed, working memory, and executive functions; (ii) brain structural T1 and FLAIR MRI scans used for the automatic segmentation of total and regional (frontal, parietal, temporal, occipital, and corpus callosum) WMH; and (iii) a Florbetapir-PET scan to measure cortical Aβ. The relationships of total and regional WMH to age, vascular risk factors, cortical Aβ, and cognition were assessed within the whole sample, but also splitting the sample in two age groups (≤ or > 60 years old). Results WMH increased with age across the adult lifespan, i.e., even in young and middle-aged adults. Systolic blood pressure, diastolic blood pressure, and glycated hemoglobin were all associated with higher WMH before, but not after, adjusting for age and the other vascular risk factors. Higher frontal, temporal, and occipital WMH were associated with greater Aβ, but this association was no longer significant when adjusting for age and vascular risk factors. Higher total and frontal WMH were associated with worse performance in executive functions, with no interactive effect of the age group. In contrast, there was a significant interaction of the age group on the link between WMH and working memory, which was significant within the subgroup of young/middle-aged adults only. Adding cortical Aβ load in the models did not alter the results, and there was no interaction between WMH and Aβ on cognition. Conclusion WMH increased with age and were associated with worse executive functions across the adult lifespan and with worse working memory in young/middle-aged adults. Aβ load was weakly associated with WMH and did not change the relationship found between WMH and executive functions. This study argues for the clinical relevance of WMH across the adult lifespan, even in young and middle-aged adults with low WMH.
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Affiliation(s)
- Antoine Garnier-Crussard
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France.,Clinical and Research Memory Center of Lyon, Lyon Institute For Elderly, Charpennes Hospital, Hospices Civils de Lyon, Lyon, France.,Claude Bernard University Lyon 1, Lyon, France
| | - Salma Bougacha
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Claire André
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France.,Normandie Univ, UNICAEN, PSL Université, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, NIMH, Caen, France
| | - Marion Delarue
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France
| | - Brigitte Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France
| | - Florence Mézenge
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France
| | - Elizabeth Kuhn
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France
| | - Julie Gonneaud
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France
| | - Anne Chocat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France
| | - Anne Quillard
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France
| | - Eglantine Ferrand-Devouge
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France.,Department of General Practice, Normandie Univ, UNIROUEN, Rouen, France.,Rouen University Hospital, Inserm CIC-CRB 1404, F-76 000, Rouen, France
| | - Vincent de La Sayette
- Normandie Univ, UNICAEN, PSL Université, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, NIMH, Caen, France.,Department of Neurology, CHU de Caen, Caen, France
| | - Denis Vivien
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France.,Department of Clinical Research, CHU de Caen, Caen, France
| | - Pierre Krolak-Salmon
- Clinical and Research Memory Center of Lyon, Lyon Institute For Elderly, Charpennes Hospital, Hospices Civils de Lyon, Lyon, France.,Claude Bernard University Lyon 1, Lyon, France.,Lyon Neuroscience Research Centre, INSERM 1028, CNRS 5292, Lyon, France
| | - Gaël Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, 14000, Caen, France.
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15
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Miller KB, Fields JA, Harvey RE, Lahr BD, Bailey KR, Joyner MJ, Miller VM, Barnes JN. Aortic Hemodynamics and Cognitive Performance in Postmenopausal Women: Impact of Pregnancy History. Am J Hypertens 2020; 33:756-764. [PMID: 32421781 PMCID: PMC7402228 DOI: 10.1093/ajh/hpaa081] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 04/25/2020] [Accepted: 05/12/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Studies demonstrate an association between aortic hemodynamics and cognitive function. The impact of pregnancy history on this association is unknown. METHODS Postmenopausal women (age 59 ± 5 years; years since last pregnancy 35 ± 3) with either a history of preeclampsia (PE; n = 34) or a history of a normotensive pregnancy (NP; n = 30) underwent cognitive testing: Letter-Number Sequencing, Digit Span, Trail Making Test, and letter and category fluency. Applanation tonometry was used to derive aortic systolic and diastolic blood pressure and augmentation index. RESULTS Distribution of cognitive scores and aortic hemodynamic measures was similar between the PE and NP groups. Principal component (PC) analysis was used to reduce the 3 aortic hemodynamic measures and the 5 cognitive variables to single summary indices, each representing a weighted average of their respective constituent variables. Using a multivariable linear model based on these PCs that adjusted for pregnancy history and body mass index, the composite index of aortic hemodynamics was associated with the summary cognitive index, whether taking into account a potential interaction with pregnancy history (P = 0.035) or not (P = 0.026) (interaction P = 0.178). Multivariable modeling of individual cognitive tests revealed a differential association for letter fluency by pregnancy history (test for interaction P = 0.023); this score correlated with the aortic hemodynamic index in the PE (partial R2 = 0.20), but not the NP (partial R2 = 0.00) group. CONCLUSIONS Elevated aortic hemodynamics may negatively impact cognitive function in postmenopausal women with specific executive functions, such as letter fluency, being impacted more by a pregnancy history of PE.
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Affiliation(s)
- Kathleen B Miller
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ronée E Harvey
- Department of Internal Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Brian D Lahr
- Department of Health Science Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Kent R Bailey
- Department of Health Science Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Michael J Joyner
- Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Virginia M Miller
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA
- Department of Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Jill N Barnes
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
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16
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Walsh P, Sudre CH, Fiford CM, Ryan NS, Lashley T, Frost C, Barnes J. CSF amyloid is a consistent predictor of white matter hyperintensities across the disease course from aging to Alzheimer's disease. Neurobiol Aging 2020; 91:5-14. [PMID: 32305782 DOI: 10.1016/j.neurobiolaging.2020.03.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 03/05/2020] [Accepted: 03/10/2020] [Indexed: 01/06/2023]
Abstract
This study investigated the relationship between white matter hyperintensities (WMH) and cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers. Subjects included 180 controls, 107 individuals with a significant memory concern, 320 individuals with early mild cognitive impairment, 171 individuals with late mild cognitive impairment, and 151 individuals with AD, with 3T MRI and CSF Aβ1-42, total tau (t-tau), and phosphorylated tau (p-tau) data. Multiple linear regression models assessed the relationship between WMH and CSF Aβ1-42, t-tau, and p-tau. Directionally, a higher WMH burden was associated with lower CSF Aβ1-42 within each diagnostic group, with no evidence for a difference in the slope of the association across diagnostic groups (p = 0.4). Pooling all participants, this association was statistically significant after adjustment for t-tau, p-tau, age, diagnostic group, and APOE-ε4 status (p < 0.001). Age was the strongest predictor of WMH (partial R2~16%) compared with CSF Aβ1-42 (partial R2~5%). There was no evidence for an association with WMH and either t-tau or p-tau. These data are supportive of a link between amyloid burden and presumed vascular pathology.
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Affiliation(s)
- Phoebe Walsh
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
| | - Carole H Sudre
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Centre for Medical Image Computing, University College London, London, UK
| | - Cassidy M Fiford
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Natalie S Ryan
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Tammaryn Lashley
- Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK; Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Chris Frost
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; Department of Medical Statistics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Josephine Barnes
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
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17
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Tubi MA, Feingold FW, Kothapalli D, Hare ET, King KS, Thompson PM, Braskie MN. White matter hyperintensities and their relationship to cognition: Effects of segmentation algorithm. Neuroimage 2020; 206:116327. [PMID: 31682983 PMCID: PMC6981030 DOI: 10.1016/j.neuroimage.2019.116327] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 10/29/2019] [Accepted: 10/30/2019] [Indexed: 12/31/2022] Open
Abstract
White matter hyperintensities (WMHs) are brain white matter lesions that are hyperintense on fluid attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) scans. Larger WMH volumes have been associated with Alzheimer's disease (AD) and with cognitive decline. However, the relationship between WMH volumes and cross-sectional cognitive measures has been inconsistent. We hypothesize that this inconsistency may arise from 1) the presence of AD-specific neuropathology that may obscure any WMH effects on cognition, and 2) varying criteria for creating a WMH segmentation. Manual and automated programs are typically used to determine segmentation boundaries, but criteria for those boundaries can differ. It remains unclear whether WMH volumes are associated with cognitive deficits, and which segmentation criteria influence the relationships between WMH volumes and clinical outcomes. In a sample of 260 non-demented participants (ages 55-90, 141 males, 119 females) from the Alzheimer's Disease Neuroimaging Initiative (ADNI), we compared the performance of five WMH segmentation methods, by relating the WMH volumes derived using each method to both clinical diagnosis and composite measures of executive function and memory. To separate WMH effects on cognition from effects related to AD-specific processes, we performed analyses separately in people with and without abnormal cerebrospinal fluid amyloid levels. WMH volume estimates that excluded more diffuse, lower-intensity lesions were more strongly correlated with clinical diagnosis and cognitive performance, and only in those without abnormal amyloid levels. These findings may inform best practices for WMH segmentation, and suggest that AD neuropathology may mask WMH effects on clinical diagnosis and cognition.
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Affiliation(s)
- Meral A Tubi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, 90292, USA
| | - Franklin W Feingold
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, 90292, USA; Stanford University, Stanford, CA, 94305, USA
| | - Deydeep Kothapalli
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, 90292, USA
| | - Evan T Hare
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, 90292, USA
| | - Kevin S King
- Huntington Medical Research Institute, Imaging Division, Pasadena, CA, 91105, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, 90292, USA
| | - Meredith N Braskie
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, 90292, USA.
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18
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Dupont PS, Bocti C, Joannette M, Lavallée MM, Nikelski J, Vallet GT, Chertkow H, Joubert S. Amyloid burden and white matter hyperintensities mediate age-related cognitive differences. Neurobiol Aging 2020; 86:16-26. [DOI: 10.1016/j.neurobiolaging.2019.08.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 08/07/2019] [Accepted: 08/09/2019] [Indexed: 12/17/2022]
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19
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Lim EY, Ryu SY, Shim YS, Yang DW, Cho AH. Coexistence of Cerebral Microbleeds and Amyloid Pathology in Patients with Cognitive Complaints. J Clin Neurol 2020; 16:83-89. [PMID: 31942762 PMCID: PMC6974843 DOI: 10.3988/jcn.2020.16.1.83] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 09/07/2019] [Accepted: 09/10/2019] [Indexed: 01/01/2023] Open
Abstract
Background and Purpose We investigated the prevalence of amyloid positivity and cerebral microbleeds (CMBs) in subjects with cognitive complaints with the aim of identifying differences in clinical parameters and cognitive function according to the pattern of coexistence. Methods We retrospectively enrolled 200 subjects with memory impairment and applied both standardized 18F-florbetaben PET and brain MRI, including susceptibility-weighted imaging. The amyloid burden was visually classified as positive or negative, and the number and location of CMBs were also analyzed visually. Descriptive analysis was performed for the prevalence of amyloid positivity and CMBs. The relationship between the coexisting pattern of those two findings and clinical parameters including the results of neuropsychiatric tests was analyzed. Results Positive amyloid PET scans were exhibited by 102 (51.5%) of the 200 patients, and 51 (25.5%) of them had CMBs, which were mostly located in lobar areas in the patients with positive amyloid scans. The patients with CMBs were older and had a higher burden of white-matter hyperintensities than the patients without CMBs. The patients with CMBs also performed worse in confrontation naming and frontal/executive function. When classified by topographical region, parietal CMBs (odds ratio=3.739, p=0.024) were significantly associated with amyloid positivity. Conclusions The prevalence of CMBs was higher in patients with cognitive decline than in the general population. CMBs play distinctive roles in affecting clinical parameters and neuropsychological profiles according to the coexistence of amyloid pathology.
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Affiliation(s)
- Eun Ye Lim
- Department of Neurology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seon Young Ryu
- Department of Neurology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yong S Shim
- Department of Neurology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Korea
| | - Dong Won Yang
- Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - A Hyun Cho
- Department of Neurology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
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20
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Sichler ME, Löw MJ, Schleicher EM, Bayer TA, Bouter Y. Reduced Acoustic Startle Response and Prepulse Inhibition in the Tg4-42 Model of Alzheimer's Disease. J Alzheimers Dis Rep 2019; 3:269-278. [PMID: 31867566 PMCID: PMC6918877 DOI: 10.3233/adr-190132] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Sensorimotor deficits have been described in several neuropsychiatric disorders including Alzheimer’s disease. The aim of the present study was to evaluate possible sensorimotor gating deficits in the Tg4-42 mouse model of Alzheimer’s disease using the prepulse inhibition task (PPI). Previous studies indicated that the hippocampus is essentially involved in the regulation of PPI. We analyzed 7-month-old homozygous Tg4-42 mice as mice at this age display severe neuron loss especially in the CA1 region of the hippocampus. Our results revealed a reduced startle response and PPI in Tg4-42 mice. The observed deficits in startle response and PPI are likely due to altered sensory processing abilities rather than hearing deficits as Tg4-42 displayed intact hearing in the fear conditioning task. The present study demonstrates for the first time that sensorimotor gating is impaired in Tg4-42 mice. Analyzing startle response as well as the PPI may offer valuable measurements to assess the efficacy of therapeutic strategies in the future in this Alzheimer’s disease model.
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Affiliation(s)
- Marius E Sichler
- Division of Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
| | - Maximilian J Löw
- Division of Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
| | - Eva M Schleicher
- Division of Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
| | - Thomas A Bayer
- Division of Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
| | - Yvonne Bouter
- Division of Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August-University, Goettingen, Germany
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21
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Pelkmans W, Dicks E, Barkhof F, Vrenken H, Scheltens P, van der Flier WM, Tijms BM. Gray matter T1-w/T2-w ratios are higher in Alzheimer's disease. Hum Brain Mapp 2019; 40:3900-3909. [PMID: 31157938 PMCID: PMC6771703 DOI: 10.1002/hbm.24638] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 05/16/2019] [Accepted: 05/17/2019] [Indexed: 01/18/2023] Open
Abstract
Myelin determines the conduction of neuronal signals along axonal connections in networks of the brain. Loss of myelin integrity in neuronal circuits might result in cognitive decline in Alzheimer's disease (AD). Recently, the ratio of T1-weighted by T2-weighted MRI has been used as a proxy for myelin content in gray matter of the cortex. With this approach, we investigated whether AD dementia patients show lower cortical myelin content (i.e., a lower T1-w/T2-w ratio value). We selected structural T1-w and T2-w MR images of 293 AD patients and 172 participants with normal cognition (NC). T1-w/T2-w ratios were computed for the whole brain and within 90 automated anatomical labeling atlas regions using SPM12, compared between groups and correlated with the neuronal injury marker tau in cerebrospinal fluid (CSF) and Mini Mental State Examination (MMSE). In contrast to our hypothesis, AD patients showed higher whole brain T1-w/T2-w ratios than NC, and regionally in 31 anatomical areas (p < .0005; d = 0.21 to 0.48), predominantly in the inferior parietal lobule, angular gyrus, anterior cingulate, and precuneus. Regional higher T1-w/T2-w values were associated with higher CSF tau concentrations (p < .0005; r = .16 to .22) and worse MMSE scores (p < .0005; r = -.16 to -.21). These higher T1-w/T2-w values in AD seem to contradict previous pathological findings of demyelination and disconnectivity in AD. Future research should further investigate the biological processes reflected by increases in T1-w/T2-w values.
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Affiliation(s)
- Wiesje Pelkmans
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ellen Dicks
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Hugo Vrenken
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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22
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Parnetti L, Chipi E, Salvadori N, D'Andrea K, Eusebi P. Prevalence and risk of progression of preclinical Alzheimer's disease stages: a systematic review and meta-analysis. ALZHEIMERS RESEARCH & THERAPY 2019; 11:7. [PMID: 30646955 PMCID: PMC6334406 DOI: 10.1186/s13195-018-0459-7] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 12/10/2018] [Indexed: 01/10/2023]
Abstract
Background Alzheimer’s disease (AD) pathology begins several years before the clinical onset. The long preclinical phase is composed of three stages according to the 2011National Institute on Aging and Alzheimer’s Association (NIA-AA) criteria, followed by mild cognitive impairment (MCI), a featured clinical entity defined as “due to AD”, or “prodromal AD”, when pathophysiological biomarkers (i.e., cerebrospinal fluid or positron emission tomography with amyloid tracer) are positive. In the clinical setting, there is a clear need to detect the earliest symptoms not yet fulfilling MCI criteria, in order to proceed to biomarker assessment for diagnostic definition, thus offering treatment with disease-modifying drugs to patients as early as possible. According to the available evidence, we thus estimated the prevalence and risk of progression at each preclinical AD stage, with special interest in Stage 3. Methods Cross-sectional and longitudinal studies published from April 2008 to May 2018 were obtained through MEDLINE-PubMed, screened, and systematically reviewed by four independent reviewers. Data from included studies were meta-analyzed using random-effects models. Heterogeneity was assessed by I2 statistics. Results Estimated overall prevalence of preclinical AD was 22% (95% CI = 18–26%). Rate of biomarker positivity overlapped in cognitively normal individuals and people with subjective cognitive decline. The risk of progression increases across preclinical AD stages, with individuals classified as NIA-AA Stage 3 showing the highest risk (73%, 95% CI = 40–92%) compared to those in Stage 2 (38%, 95% CI = 21–59%) and Stage 1 (20%, 95% CI = 10–34%). Conclusion Available data consistently show that risk of progression increases across the preclinical AD stages, where Stage 3 shows a risk of progression comparable to MCI due to AD. Accordingly, an effort should be made to also operationalize the diagnostic work-up in subjects with subtle cognitive deficits not yet fulfilling MCI criteria. The possibility to define, in the clinical routine, a patient as “pre-MCI due to AD” could offer these subjects the opportunity to use disease-modifying drugs at best. Electronic supplementary material The online version of this article (10.1186/s13195-018-0459-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lucilla Parnetti
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy.
| | - Elena Chipi
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Nicola Salvadori
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Katia D'Andrea
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Paolo Eusebi
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
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White matter involvement in young non-demented Down's syndrome subjects: a tract-based spatial statistic analysis. Neuroradiology 2018; 60:1335-1341. [PMID: 30264168 DOI: 10.1007/s00234-018-2102-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 09/17/2018] [Indexed: 10/28/2022]
Abstract
PURPOSE Cognitive decline in Down syndrome generally shows neurodegenerative aspects similar to what is observed in Alzheimer's disease. Few studies reported information on white matter integrity. The aim of this study was to evaluate white matter alterations in a cohort of young Down subjects, without dementia, by means of DTI technique, compared to a normal control group. METHODS The study group consisted of 17 right-handed subjects with DS and many control subjects. All individuals participating in this study were examined by MR exam including DTI acquisition (32 non-coplanar directions); image processing and analysis were performed using FMRIB Software Library (FSL version 4.1.9, http://www.fmrib.ox.ac.uk/fsl )) software package. Finally, the diffusion tensor was estimated voxel by voxel and the FA map derived from the tensor. A two-sample t test was performed to assess differences between DS and control subjects. RESULTS The FA is decreased in DS subjects, compared to control subjects, in the region of the anterior thalamic radiation, the inferior fronto-occipital fasciculum, the inferior longitudinal fasciculum, and the cortico-spinal tract, bilaterally. CONCLUSIONS The early white matter damage visible in our DS subjects could have great impact in the therapeutic management, in particular in better adapting the timing of therapies to counteract the toxic effect of the deposition of amyloid that leads to oxidative stress.
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Widespread distribution of tauopathy in preclinical Alzheimer's disease. Neurobiol Aging 2018; 72:177-185. [PMID: 30292840 DOI: 10.1016/j.neurobiolaging.2018.08.022] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 08/24/2018] [Accepted: 08/25/2018] [Indexed: 02/07/2023]
Abstract
The objective of this study was to examine the distribution and severity of tau-PET binding in cognitively normal adults with preclinical Alzheimer's disease as determined by positive beta-amyloid PET. 18F-AV-1451 tau-PET data from 109 cognitively normal older adults were processed with 34 cortical and 9 subcortical FreeSurfer regions and averaged across both hemispheres. Individuals were classified as being beta-amyloid positive (N = 25, A+) or negative (N = 84, A-) based on a 18F-AV-45 beta-amyloid-PET standardized uptake value ratio of 1.22. We compared the tau-PET binding in the 2 groups using covariate-adjusted linear regressions. The A+ cohort had higher tau-PET binding within 8 regions: precuneus, amygdala, banks of the superior temporal sulcus, entorhinal cortex, fusiform gyrus, inferior parietal cortex, inferior temporal cortex, and middle temporal cortex. These findings, consistent with preclinical involvement of the medial temporal lobe and parietal lobe and association regions by tauopathy, emphasize that therapies targeting tauopathy in Alzheimer's disease could be considered before the onset of symptoms to prevent or ameliorate cognitive decline.
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25
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Stopping Cognitive Decline in Patients With Late-Life Depression: A New Front in the Fight Against Dementia. Am J Geriatr Psychiatry 2018; 26:828-834. [PMID: 30049598 PMCID: PMC6633901 DOI: 10.1016/j.jagp.2018.05.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 05/30/2018] [Indexed: 01/11/2023]
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26
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Kuriyama N, Ozaki E, Mizuno T, Ihara M, Mizuno S, Koyama T, Matsui D, Watanabe I, Akazawa K, Takeda K, Takada A, Inaba M, Yamada S, Motoyama K, Takeshita W, Iwai K, Hashiguchi K, Kobayashi D, Kondo M, Tamura A, Yamada K, Nakagawa M, Watanabe Y. Association between α-Klotho and Deep White Matter Lesions in the Brain: A Pilot Case Control Study Using Brain MRI. J Alzheimers Dis 2018; 61:145-155. [PMID: 29154273 DOI: 10.3233/jad-170466] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND The anti-aging protein, α-Klotho, may be involved in cognitive decline and has potential as a surrogate marker that reflects dementia. However, the role of α-Klotho in the brain has not been sufficiently investigated. OBJECTIVE Here, we investigated the association between α-Klotho and cognitive decline that is associated with cerebral deep white matter lesions (DWMLs). METHODS Two hundred-eighty participants (187 males and 93 females, mean age: 70.8 years old) were evaluated for DWMLs, and the Fazekas scale (Grade) was assessed following brain magnetic resonance imaging. A questionnaire concerning lifestyle and neuropsychological tests was administered, and their associations with the blood α-Klotho level were retrospectively investigated. RESULTS The α-Klotho level was 685.1 pg/mL in Grade 0 (68 subjects), 634.1 in G1 (134), 596.0 in G2 (62), and 571.6 in G3 (16), showing that the level significantly decreased with advanced grades. Significant correlations were noted between the α-Klotho level and higher brain function tests including the Mini-Mental State Examination and word fluency tests (p < 0.05). When a 90th percentile value of the level in the G0 group (400 pg/mL) or lower was defined as a low α-Klotho level, the odds ratio of the high-grade G3 group was 2.9 (95% confidence interval: 1.4-7.8) (after correction for age, sex, hypertension, and chronic kidney disease), which was significant. CONCLUSION A reduced blood α-Klotho level was correlated with grading of cerebral DWMLs and was accompanied by cognitive decline as an independent risk factor. The α-Klotho level may serve as a useful clinical index of vascular cognitive impairment.
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Affiliation(s)
- Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.,Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Toshiki Mizuno
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masafumi Ihara
- Division of Neurology, Department of Stroke and Cerebrovascular Diseases, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Shigeto Mizuno
- Department of Endoscopy, Kindai University Nara Hospital, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Isao Watanabe
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kentaro Akazawa
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kazuo Takeda
- Kyoto Industrial Health Association, Kyoto, Japan
| | | | - Masaaki Inaba
- Department of Metabolism, Endocrinology, and Molecular Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Shinsuke Yamada
- Department of Metabolism, Endocrinology, and Molecular Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Koka Motoyama
- Department of Metabolism, Endocrinology, and Molecular Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Wakiko Takeshita
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Komei Iwai
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kanae Hashiguchi
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daiki Kobayashi
- Department of Medicine, Division of General Internal Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Masaki Kondo
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Aiko Tamura
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kei Yamada
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masanori Nakagawa
- North Medical Center, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yoshiyuki Watanabe
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Mishra S, Blazey TM, Holtzman DM, Cruchaga C, Su Y, Morris JC, Benzinger TLS, Gordon BA. Longitudinal brain imaging in preclinical Alzheimer disease: impact of APOE ε4 genotype. Brain 2018; 141:1828-1839. [PMID: 29672664 PMCID: PMC5972633 DOI: 10.1093/brain/awy103] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 01/29/2018] [Accepted: 02/17/2018] [Indexed: 02/07/2023] Open
Abstract
While prior work reliably demonstrates that the APOE ɛ4 allele has deleterious group level effects on Alzheimer disease pathology, the homogeneity of its influence across the lifespan and spatially in the brain remains unknown. Further it is unclear what combinations of factors at an individual level lead to observed group level effects of APOE genotype. To evaluate the impact of the APOE genotype on disease trajectories, we examined longitudinal MRI and PET imaging in a cohort of 497 cognitively normal middle and older aged participants. A whole-brain regional approach was used to evaluate the spatial effects of genotype on longitudinal change of amyloid-β pathology and cortical atrophy. Carriers of the ɛ4 allele had increased longitudinal accumulation of amyloid-β pathology diffusely through the cortex, but the emergence of this effect across the lifespan differed greatly by region (e.g. age 49 in precuneus, but 65 in the visual cortex) with the detrimental influence already being evident in some regions in middle age. This increased group level effect on accumulation was due to a greater proportion of ɛ4 carriers developing amyloid-β pathology, on average doing so at an earlier age, and having faster amyloid-β accumulation even after accounting for baseline amyloid-β levels. APOE ɛ4 carriers displayed faster rates of structural loss in primarily constrained to the medial temporal lobe structures at around 50 years, although this increase was modest and proportional to the elevated disease severity in APOE ɛ4 carriers. This work indicates that influence of the APOE gene on pathology can be detected starting in middle age.
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Affiliation(s)
- Shruti Mishra
- Department of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Tyler M Blazey
- Department of Radiology, 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’s Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - Carlos Cruchaga
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - Yi Su
- Department of Radiology, 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’s 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’s 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
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
- Department of Psychological and Brain Sciences, Washington University School of Medicine, St Louis, MO, USA
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28
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Carlier A, van Exel E, Dols A, Bouckaert F, Sienaert P, Ten Kate M, Wattjes MP, Vandenbulcke M, Stek ML, Rhebergen D. The course of apathy in late-life depression treated with electroconvulsive therapy; a prospective cohort study. Int J Geriatr Psychiatry 2018; 33:1253-1259. [PMID: 29851173 DOI: 10.1002/gps.4917] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 04/17/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVES Apathy, a lack of motivation, is frequently seen in older individuals, with and without depression, with substantial impact on quality of life. This prospective cohort study of patients with severe late-life depression treated with electroconvulsive therapy (ECT) aims to study the course of apathy and the predictive value of vascular burden and in particular white matter hyperintensities on apathy course. METHODS Information on apathy (defined by a score of >13 on the Apathy Scale), depression severity, vascular burden, and other putative confounders was collected in at 2 psychiatric hospitals on patients with late-life depression (aged 55 to 87 years, N = 73). MRI data on white matter hyperintensities were available in 52 patients. Possible risk factors for apathy post-ECT were determined using regression analyses. RESULTS After treatment with ECT, 52.0% (26/50) of the depression remitters still suffered from clinically relevant apathy symptoms. In the entire cohort, more patients remained apathetic (58.9%) than depressed (31.5%). Presence of apathy post-ECT was not associated with higher age, use of benzodiazepines, or severity of apathy and depression at baseline. Less response in depressive symptomatology after ECT predicted post-treatment apathy. The presence of vascular disease, diabetes mellitus and smoking, and white matter hyperintensities in the brain was not associated with post-treatment apathy. CONCLUSIONS Apathy may perpetuate in individual patients, despite remission of depressive symptoms. In this cohort of patients with late-life depression, post-ECT apathy is not associated with white matter hyperintensities.
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Affiliation(s)
- A Carlier
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, The Netherlands
| | - E van Exel
- Department of Old Age Psychiatry, GGZ inGeest/VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Public Health research institute and NCA Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - A Dols
- Department of Old Age Psychiatry, GGZ inGeest/VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Public Health research institute and NCA Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - F Bouckaert
- Old-age Psychiatry, KU Leuven, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium
- Academic Center for ECT and Neuromodulation, KU Leuven, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - P Sienaert
- Academic Center for ECT and Neuromodulation, KU Leuven, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - M Ten Kate
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - M P Wattjes
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - M Vandenbulcke
- Old-age Psychiatry, KU Leuven, University Psychiatric Center KU Leuven, Leuven/Kortenberg, Belgium
| | - M L Stek
- Department of Old Age Psychiatry, GGZ inGeest/VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Public Health research institute and NCA Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - D Rhebergen
- Department of Old Age Psychiatry, GGZ inGeest/VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Public Health research institute and NCA Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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Abstract
PURPOSE OF REVIEW Alzheimer's disease and cerebrovascular disease (CVD) commonly co-occur. Whether CVD promotes the progression of Alzheimer's disease pathology remains a source of great interest. Recent technological developments have enabled us to examine their inter-relationship using quantifiable, biomarker-based approaches. We provide an overview of advances in understanding the relationship between vascular and Alzheimer's disease pathologies, with particular emphasis on β-amyloid and tau as measured by positron emission tomography and cerebrospinal fluid (CSF) concentration, and magnetic resonance imaging markers of small vessel disease (SVD). RECENT FINDINGS The relationship between cerebral β-amyloid and various markers of SVD has been widely studied, albeit with somewhat mixed results. Significant associations have been elucidated, particularly between β-amyloid burden and white matter hyperintensities (WMH), as well as lobar cerebral microbleeds (CMB), with additive effects on cognition. There is preliminary evidence for an association between SVD and tau burden in vivo, although compared with β-amyloid, fewer studies have examined this relationship. SUMMARY The overlap between Alzheimer's disease and cerebrovascular pathologies is now being increasingly supported by imaging and CSF biomarkers, indicating a synergistic effect of these co-pathologies on cognition. The association of WMH and CMB with Alzheimer's disease pathology does not establish direction of causality, for which long-term longitudinal studies are needed.
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30
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Todd KL, Brighton T, Norton ES, Schick S, Elkins W, Pletnikova O, Fortinsky RH, Troncoso JC, Molfese PJ, Resnick SM, Conover JC. Ventricular and Periventricular Anomalies in the Aging and Cognitively Impaired Brain. Front Aging Neurosci 2018; 9:445. [PMID: 29379433 PMCID: PMC5771258 DOI: 10.3389/fnagi.2017.00445] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 12/26/2017] [Indexed: 12/14/2022] Open
Abstract
Ventriculomegaly (expansion of the brain’s fluid-filled ventricles), a condition commonly found in the aging brain, results in areas of gliosis where the ependymal cells are replaced with dense astrocytic patches. Loss of ependymal cells would compromise trans-ependymal bulk flow mechanisms required for clearance of proteins and metabolites from the brain parenchyma. However, little is known about the interplay between age-related ventricle expansion, the decline in ependymal integrity, altered periventricular fluid homeostasis, abnormal protein accumulation and cognitive impairment. In collaboration with the Baltimore Longitudinal Study of Aging (BLSA) and Alzheimer’s Disease Neuroimaging Initiative (ADNI), we analyzed longitudinal structural magnetic resonance imaging (MRI) and subject-matched fluid-attenuated inversion recovery (FLAIR) MRI and periventricular biospecimens to map spatiotemporally the progression of ventricle expansion and associated periventricular edema and loss of transependymal exchange functions in healthy aging individuals and those with varying degrees of cognitive impairment. We found that the trajectory of ventricle expansion and periventricular edema progression correlated with degree of cognitive impairment in both speed and severity, and confirmed that areas of expansion showed ventricle surface gliosis accompanied by edema and periventricular accumulation of protein aggregates, suggesting impaired clearance mechanisms in these regions. These findings reveal pathophysiological outcomes associated with normal brain aging and cognitive impairment, and indicate that a multifactorial analysis is best suited to predict and monitor cognitive decline.
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Affiliation(s)
- Krysti L Todd
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States
| | - Tessa Brighton
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States
| | - Emily S Norton
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States
| | - Samuel Schick
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States
| | - Wendy Elkins
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD, United States
| | - Olga Pletnikova
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Richard H Fortinsky
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
| | - Juan C Troncoso
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Peter J Molfese
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD, United States
| | - Joanne C Conover
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States
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Gu L, Wu D, Tang X, Qi X, Li X, Bai F, Chen X, Ren Q, Zhang Z. Myelin changes at the early stage of 5XFAD mice. Brain Res Bull 2017; 137:285-293. [PMID: 29288735 DOI: 10.1016/j.brainresbull.2017.12.013] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 12/08/2017] [Accepted: 12/26/2017] [Indexed: 02/08/2023]
Abstract
Previous studies have demonstrated myelin deficits in Alzheimer's disease (AD). However, it is still unclear whether myelin deficits occur at early stage of AD. Our study aimed to investigate myelin deficits in 5XFAD mice dynamically in different cognition-associated brain regions at early stage of AD. Transmission electron microscopy (TEM) was applied to detect myelin changes in late-myelinating regions such as prelimbic area (PrL), retrosplenial granular cortex (Rsg), field CA1 of hippocampus (CA1) and entorhinal cortex (ERC) respectively at different stages (1, 2, 3 and 5 months of age) in 5XFAD mouse model. In addition, we assessed spatial learning and memory with Morris water maze (MWM) in 5XFAD mice. Myelin deficits in 5XFAD mice started from 1 month of age and this deterioration continued during ageing, whereas the same myelin abnormality could only be observed in 5-month-old wild-type mice. Additionally, the g-ratio (an index associated with myelin thickness) was increased in 1-month-old 5XFAD mice in the regions including PrL, CA1 and ERC, compared to wild-type mice. As animals aged, the increased g-ratio in 5XFAD appeared in more regions of the brain. Moreover, 5XFAD mice showed spatial memory deficits from 1 month of age and spatial learning deficits from 2 months of age. In conclusion, myelin deficits occurred at an early stage and progressed with ageing in 5XFAD mouse model. Notably, a sequential myelin change was detected in cognition-associated brain regions. Combined with cognitive examinations, this study suggests that myelin changes might contribute to cognitive dysfunction.
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Affiliation(s)
- Lihua Gu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Di Wu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Xiang Tang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Xinyang Qi
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Xiaoli Li
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Feng Bai
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Xiaochun Chen
- Department of Neurology, Fujian Institute of Geriatrics, the Affiliated Union Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Qingguo Ren
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
| | - Zhijun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
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Yeh JJ, Wei YF, Lin CL, Hsu WH. Effect of the asthma-chronic obstructive pulmonary disease syndrome on the stroke, Parkinson's disease, and dementia: a national cohort study. Oncotarget 2017; 9:12418-12431. [PMID: 29552322 PMCID: PMC5844758 DOI: 10.18632/oncotarget.23811] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 11/10/2017] [Indexed: 12/13/2022] Open
Abstract
Background To evaluate the association of asthma–chronic obstructive pulmonary disease syndrome (ACOS) with neurodegenerative diseases (stroke, Parkinson's disease and dementia) and the role of the steroids in the neurodegenerative diseases among the ACOS cohort. Materials and Methods Comparison of the ACOS cohort (N = 10,260) with the non-ACOS cohort (n = 20,513) based on the patients aged ≧40 years in the National Health Insurance Research Database from January 1, 2000 to December 31, 2010. These patients follow up to diagnosis of neurodegenerative diseases or the December 31, 2011; using multivariable Cox proportional hazards models. Results After adjustment for potential confounders, the [adjusted hazard ratio (aHR), 95% confidence interval (CI)] in the ACOS cohort were [1.39, 1.28–1.50] [1.56, 1.34–1.81] and [1.43, 1.29–1.59] for stroke, Parkinson's disease, dementia; respectively. The [aHR, 95% CI] for ACOS cohort with (inhaler corticosteroids ≧0.13 gram/ oral steroids ≧0.08gram) were with less risk (all aHR<1, p values <0.05) for these 3 neurodegenerative diseases except Parkinson's disease with inhaler corticosteroids >0.43 gram. The risk of stroke and dementia were the lower in patients with < 250 μg/d of a fluticasone equivalent inhaler corticosteroids (aHR = 0.53, 95% CI = 0.35–0.79; aHR = 0.53, 95% CI = 0.31–0.90, respectively). Conclusions The ACOS cohort had a higher risk of the neurodegenerative diseases. The lower dose of the inhaler corticosteroids with cumulative dose ≧0.13 gram have the less risk of stroke and dementia.
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Affiliation(s)
- Jun-Jun Yeh
- Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan.,Chia Nan University of Pharmacy and Science, Tainan, Taiwan.,Meiho University, Pingtung, Taiwan.,Pingtung Christian Hospital, Pingtung, Taiwan
| | - Yu-Feng Wei
- Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Cheng-Li Lin
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan.,College of Medicine, China Medical University, Taichung, Taiwan
| | - Wu-Huei Hsu
- Graduate Institute of Clinical Medical Science and School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan
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Schreiner SJ, Kirchner T, Narkhede A, Wyss M, Van Bergen JMG, Steininger SC, Gietl A, Leh SE, Treyer V, Buck A, Pruessmann KP, Nitsch RM, Hock C, Henning A, Brickman AM, Unschuld PG. Brain amyloid burden and cerebrovascular disease are synergistically associated with neurometabolism in cognitively unimpaired older adults. Neurobiol Aging 2017; 63:152-161. [PMID: 29310864 DOI: 10.1016/j.neurobiolaging.2017.12.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 11/16/2017] [Accepted: 12/04/2017] [Indexed: 01/08/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of cognitive dysfunction in older adults. The pathological hallmarks of AD such as beta amyloid (Aβ) aggregation and neurometabolic change, as indicated by altered myo-inositol (mI) and N-acetylaspartate (NAA) levels, typically precede the onset of cognitive dysfunction by years. Furthermore, cerebrovascular disease occurs early in AD, but the interplay between vascular and neurometabolic brain change is largely unknown. Thirty cognitively normal older adults (age = 70 ± 5.6 years, Mini-Mental State Examination = 29.2 ± 1) received 11-C-Pittsburgh Compound B positron emission tomography for estimating Aβ-plaque density, 7 Tesla fluid-attenuated inversion recovery magnetic resonance imaging for quantifying white matter hyperintensity volume as a marker of small vessel cerebrovascular disease and high-resolution magnetic resonance spectroscopic imaging at 7 Tesla, based on free induction decay acquisition localized by outer volume suppression to investigate tissue-specific neurometabolism in the posterior cingulate and precuneus. Aβ (β = 0.45, p = 0.018) and white matter hyperintensities (β = 0.40, p = 0.046) were independently and interactively (β = -0.49, p = 0.026) associated with a higher ratio of mI over NAA (mI/NAA) in the posterior cingulate and precuneus gray matter but not in the white matter. Our data suggest that cerebrovascular disease and Aβ burden are synergistically associated with AD-related gray matter neurometabolism in older adults.
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Affiliation(s)
- Simon J Schreiner
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Hospital for Psychogeriatric Medicine, University of Zurich, Zurich, Switzerland
| | - Thomas Kirchner
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Atul Narkhede
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, College of Physicians and Surgeons, Columbia University, NY
| | - Michael Wyss
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Jiri M G Van Bergen
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Hospital for Psychogeriatric Medicine, University of Zurich, Zurich, Switzerland
| | - Stephanie C Steininger
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Hospital for Psychogeriatric Medicine, University of Zurich, Zurich, Switzerland
| | - Anton Gietl
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Hospital for Psychogeriatric Medicine, University of Zurich, Zurich, Switzerland
| | - Sandra E Leh
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Hospital for Psychogeriatric Medicine, University of Zurich, Zurich, Switzerland
| | - Valerie Treyer
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Alfred Buck
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Klaas P Pruessmann
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Roger M Nitsch
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Hospital for Psychogeriatric Medicine, University of Zurich, Zurich, Switzerland
| | - Christoph Hock
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Hospital for Psychogeriatric Medicine, University of Zurich, Zurich, Switzerland
| | - Anke Henning
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland; Max Planck Institute for Biological Cybernetics, Tubingen, Germany
| | - Adam M Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, College of Physicians and Surgeons, Columbia University, NY.
| | - Paul G Unschuld
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland; Hospital for Psychogeriatric Medicine, University of Zurich, Zurich, Switzerland
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Holz MR, Kochhann R, Ferreira P, Tarrasconi M, Chaves MLF, Fonseca RP. Cognitive performance in patients with Mild Cognitive Impairment and Alzheimer's disease with white matter hyperintensities: An exploratory analysis. Dement Neuropsychol 2017; 11:426-433. [PMID: 29354224 PMCID: PMC5770002 DOI: 10.1590/1980-57642016dn11-040013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 11/13/2017] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND White matter hyperintensities (WMH) are commonly associated with vascular dementia and poor executive functioning. Notwithstanding, recent findings have associated WMH with Alzheimer's disease as well as other cognitive functions, but there is no consensus. OBJECTIVE This study aimed to verify the relationship between WMH and cognitive performance in Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) patients. The study also sought to identify cognitive and demographic/cultural factors that might explain variability of WMH. METHODS The sample was composed of 40 participants (18 MCI and 22 AD patients) aged ≥ 65 years. Spearman's correlation was performed among cognitive performance (memory, language, visuospatial ability, and executive function) and WMH evaluated by the Fazekas and ARWMC scales. Two stepwise linear regressions were carried out, one with cognitive and the other with demographic/cultural variables as predictors. RESULTS Only naming showed significant correlation with ARWMC. Fazekas score exhibited significant correlation with all cognitive domains evaluated. Fazekas score was better predicted by episodic visual memory and age. CONCLUSION This study found that the most relevant cognitive profile in MCI and AD patients with WMH was related to episodic memory. And, without taking clinical aspects into consideration, age was the best predictor of WMH.
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Affiliation(s)
- Maila Rossato Holz
- Mestranda do Programa de Pós-Graduação em Psicologia – Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), RS, Brazil
| | - Renata Kochhann
- Aluna de Pós-doutorado do Programa de Pós-Graduação em Psicologia – PUCRS, RS, Brazil
| | - Patrícia Ferreira
- Aluna de Graduação em Psicologia – Universidade do Vale do Rio dos Sinos, RS, Brazil
| | | | - Márcia Lorena Fagundes Chaves
- Professora Titular do Departamento de Medicina Interna – Faculdade de Medicina da Universidade Federal do Rio Grande do Sul, RS, Brazil
| | - Rochele Paz Fonseca
- Professora Adjunta do Programa de Pós-Graduação em Psicologia – PUCRS, RS, Brazil
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Abstract
PET/MR imaging benefits neurologic clinical care and research by providing spatially and temporally matched anatomic MR imaging, advanced MR physiologic imaging, and metabolic PET imaging. MR imaging sequences and PET tracers can be modified to target physiology specific to a neurologic disease process, with applications in neurooncology, epilepsy, dementia, cerebrovascular disease, and psychiatric and neurologic research. Simultaneous PET/MR imaging provides efficient acquisition of multiple temporally matched datasets, and opportunities for motion correction and improved anatomic assignment of PET data. Current challenges include optimizing MR imaging-based attenuation correction and necessity for dual expertise in PET and MR imaging.
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Affiliation(s)
- Michelle M Miller-Thomas
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, Campus Box 8131, St Louis, MO 63110, USA.
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, Campus Box 8131, St Louis, MO 63110, USA
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Roseborough A, Ramirez J, Black SE, Edwards JD. Associations between amyloid β and white matter hyperintensities: A systematic review. Alzheimers Dement 2017; 13:1154-1167. [PMID: 28322203 DOI: 10.1016/j.jalz.2017.01.026] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 01/27/2017] [Accepted: 01/30/2017] [Indexed: 11/25/2022]
Abstract
INTRODUCTION This systematic review synthesizes current evidence for associations between cortical amyloid β, visualized on amyloid positron emission tomography imaging, and white matter hyperintensity (WMH) burden on magnetic resonance imaging in healthy elderly adults and individuals with cognitive impairment and dementia. METHODS Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) systematic review guidelines, we systematically searched MEDLINE, Embase, Cochrane, and PsycINFO databases from January 2000 to September 2015. RESULTS Our search returned 492 articles, 34 of which met criteria for inclusion in the final selection. Most studies reported no significant relationships between amyloid β and WMH burden across diagnostic groups. DISCUSSION Findings of this systematic review suggest that amyloid accumulation and WMH are independent but additive processes. The limited number of independent cohorts, lack of longitudinal data, and exclusion of individuals with mixed dementia limit the generalizability of these findings. Further studies are required to elucidate the putative contributions of vascular processes to neurodegenerative pathology.
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Affiliation(s)
- Austyn Roseborough
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Sandra E Black
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada; Department of Medicine, Neurology, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Jodi D Edwards
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada.
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WAKABAYASHI YUICHI, ISHII KAZUNARI, HOSOKAWA CHISA, HYODO TOMOKO, KAIDA HAYATO, YAMADA MINORU, YAGYU YUKINOBU, TSURUSAKI MASAKATSU, KOZUKA TAKENORI, SUGIMURA KAZURO, MURAKAMI TAKAMICHI. Increased Pittsburgh Compound-B Accumulation in the Subcortical White Matter of Alzheimer's Disease Brain. THE KOBE JOURNAL OF MEDICAL SCIENCES 2017; 62:E136-E141. [PMID: 28289271 PMCID: PMC5436534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Accepted: 12/19/2016] [Indexed: 06/06/2023]
Abstract
Using 11C-Pittsburgh compound B (PiB)-PET and MRI volume data, we investigated whether white matter (WM) PiB uptake in Alzheimer's disease (AD) brain is larger than that of cortical PiB uptake-negative (PiB-negative) brain. Forty-five subjects who underwent both PiB-PET and MRI were included in the study (32 AD patients with cortical PiB-positive and 13 cortical amyloid -negative patients). Individual areas of gray matter (GM) and WM were segmented, then regional GM and WM standard uptake value ratio (SUVR) normalized to cerebellar GM with partial volume effects correction was calculated. Three regional SUVRs except WM in the centrum semiovale in the AD group were significantly larger than those in the PiB-negative groups. Frontal WM SUVR in the AD group vs frontal WM SUVR in the PiB-negative group was 2.57 ± 0.55 vs 1.64 ± 0.22; parietal, 2.50 ± 0.52 vs 1.74 ± 0.22; posterior cingulate, 2.84 ± 0.59 vs 1.73 ± 0.22; and WM in the centrum semiovale, 2.21 ± 0.53 vs 2.42 ± 0.36, respectively. We found that PiB uptake in AD brain is significantly larger than that in PiB-negative brain in the frontal, parietal and posterior cingulate subcortical WM, except in the centrum semiovale.
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Affiliation(s)
- YUICHI WAKABAYASHI
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - KAZUNARI ISHII
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - CHISA HOSOKAWA
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - TOMOKO HYODO
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - HAYATO KAIDA
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - MINORU YAMADA
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - YUKINOBU YAGYU
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - MASAKATSU TSURUSAKI
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - TAKENORI KOZUKA
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
| | - KAZURO SUGIMURA
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - TAKAMICHI MURAKAMI
- Department of Radiology, Kindai University Faculty of Medicine, Osakasayama, Osaka, Japan
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Kuriyama N, Ihara M, Mizuno T, Ozaki E, Matsui D, Watanabe I, Koyama T, Kondo M, Tokuda T, Tamura A, Yamada K, Akazawa K, Takeda K, Takada A, Mizuno S, Nakagawa M, Watanabe Y. Association between Mid-Regional Proadrenomedullin Levels and Progression of Deep White Matter Lesions in the Brain Accompanying Cognitive Decline. J Alzheimers Dis 2017; 56:1253-1262. [DOI: 10.3233/jad-160901] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Nagato Kuriyama
- Departments of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masafumi Ihara
- Department of Stroke and Cerebrovascular Diseases, Division of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Toshiki Mizuno
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Etsuko Ozaki
- Departments of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Matsui
- Departments of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Isao Watanabe
- Departments of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Teruhide Koyama
- Departments of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masaki Kondo
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Takahiko Tokuda
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Aiko Tamura
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kei Yamada
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kentaro Akazawa
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kazuo Takeda
- Kyoto Industrial Health Association, Kyoto, Japan
| | | | - Shigeto Mizuno
- Department of Endoscopy, Kindai University Nara Hospital, Japan
| | - Masanori Nakagawa
- North Medical Center, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yoshiyuki Watanabe
- Departments of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Oral Cnm-positive Streptococcus Mutans Expressing Collagen Binding Activity is a Risk Factor for Cerebral Microbleeds and Cognitive Impairment. Sci Rep 2016; 6:38561. [PMID: 27934941 PMCID: PMC5146923 DOI: 10.1038/srep38561] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 11/10/2016] [Indexed: 12/23/2022] Open
Abstract
Cerebral microbleeds (CMBs) are an important risk factor for stroke and dementia. We have shown that the collagen binding surface Cnm protein expressed on cnm-positive Streptococcus mutans is involved in the development of CMBs. However, whether the collagen binding activity of cnm-positive S. mutans is related to the nature of the CMBs or to cognitive impairment is unclear. Two-hundred seventy nine community residents (70.0 years) were examined for the presence or absence of cnm-positive S. mutans in the saliva by PCR and collagen binding activity, CMBs, and cognitive function were evaluated. Cnm-positive S. mutans was detected more often among subjects with CMBs (p < 0.01) than those without. The risk of CMBs was significantly higher (odds ratio = 14.3) in the group with S. mutans expressing collagen binding activity, as compared to the group without that finding. Deep CMBs were more frequent (67%) and cognitive function was lower among subjects with cnm-positive S. mutans expressing collagen binding activity. This work supports the role of oral health in stroke and dementia and proposes a molecular mechanism for the interaction.
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40
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Cerebral amyloid is associated with greater white-matter hyperintensity accrual in cognitively normal older adults. Neurobiol Aging 2016; 48:48-52. [PMID: 27639120 DOI: 10.1016/j.neurobiolaging.2016.08.014] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 07/29/2016] [Accepted: 08/13/2016] [Indexed: 11/20/2022]
Abstract
Cross-sectional studies show that elevated cerebral amyloid is associated with greater white-matter hyperintensity (WMH) burden in cognitively normal (CN) older adults. However, the relative time courses of amyloid and WMH accrual are unclear. To address this, we tested the associations between known WMH correlates-age, hypertension, and amyloid-with WMH accrual rate. We used brain magnetic resonance imaging to measure WMH change in 112 CN Alzheimer's Disease Neuroimaging Initiative (GO/2) participants over a 2-year period. A linear mixed effects model assessed baseline cerebrospinal fluid amyloid beta (Aβ) 1-42, hypertension, age, and their interactions, as predictors of greater WMH accrual. Greater amyloid burden was associated with greater WMH accrual over time. Those with hypertension showed a stronger association between greater amyloid burden and WMH accrual rate. Greater age was not significantly associated with greater WMH accrual in this model. Although the direction of the relationship cannot be tested in this model, CN individuals harboring cerebral amyloid had greater accrual of WMH over a 2-year period after accounting for hypertension and age. Impaired amyloid clearance and cerebral small vessel disease may both underlie the more rapid emergence of WM lesions. The role of cerebral amyloid burden in white-matter injury should thus be considered as a relevant factor when WMHs are detected clinically.
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Gordon BA, Friedrichsen K, Brier M, Blazey T, Su Y, Christensen J, Aldea P, McConathy J, Holtzman DM, Cairns NJ, Morris JC, Fagan AM, Ances BM, Benzinger TLS. The relationship between cerebrospinal fluid markers of Alzheimer pathology and positron emission tomography tau imaging. Brain 2016; 139:2249-60. [PMID: 27286736 PMCID: PMC4958902 DOI: 10.1093/brain/aww139] [Citation(s) in RCA: 125] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 04/25/2016] [Accepted: 04/26/2016] [Indexed: 12/20/2022] Open
Abstract
The two primary molecular pathologies in Alzheimer's disease are amyloid-β plaques and tau-immunoreactive neurofibrillary tangles. Investigations into these pathologies have been restricted to cerebrospinal fluid assays, and positron emission tomography tracers that can image amyloid-β plaques. Tau tracers have recently been introduced into the field, although the utility of the tracer and its relationship to other Alzheimer biomarkers are still unknown. Here we examined tau deposition in 41 cognitively normal and 11 cognitively impaired older adults using the radioactive tau ligand (18)F-AV-1451 (previously known as T807) who also underwent a lumbar puncture to assess cerebrospinal fluid levels of total tau (t-tau), phosphorylated tau181 (p-tau181) and amyloid-β42 Voxel-wise statistical analyses examined spatial patterns of tau deposition associated with cognitive impairment. We then related the amount of tau tracer uptake to levels of cerebrospinal fluid biomarkers. All analyses controlled for age and gender and, when appropriate, the time between imaging and lumbar puncture assessments. Symptomatic individuals (Clinical Dementia Rating > 0) demonstrated markedly increased levels of tau tracer uptake. This elevation was most prominent in the temporal lobe and temporoparietal junction, but extended more broadly into parietal and frontal cortices. In the entire cohort, there were significant relationships among all cerebrospinal fluid biomarkers and tracer uptake, notably for tau-related cerebrospinal fluid markers. After controlling for levels of amyloid-β42, the correlations with tau uptake were r = 0.490 (P < 0.001) for t-tau and r = 0.492 (P < 0.001) for p-tau181 Within the cognitively normal cohort, levels of amyloid-β42, but not t-tau or p-tau181, were associated with elevated tracer binding that was confined primarily to the medial temporal lobe and adjacent neocortical regions. AV-1451 tau binding in the medial temporal, parietal, and frontal cortices is correlated with tau-related cerebrospinal fluid measures. In preclinical Alzheimer's disease, there is focal tauopathy in the medial temporal lobes and adjacent cortices.
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Affiliation(s)
- Brian A Gordon
- 1 Department of Radiology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA 2 Knight Alzheimer's Disease Research Center, Washington University in St. Louis, 4488 Forest Park Avenue, St. Louis, Missouri 63110, USA
| | - Karl Friedrichsen
- 1 Department of Radiology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Matthew Brier
- 3 Department of Neurology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Tyler Blazey
- 4 Division of Biology and Biomedical Sciences, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Yi Su
- 1 Department of Radiology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Jon Christensen
- 1 Department of Radiology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Patricia Aldea
- 1 Department of Radiology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Jonathan McConathy
- 1 Department of Radiology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - David M Holtzman
- 2 Knight Alzheimer's Disease Research Center, Washington University in St. Louis, 4488 Forest Park Avenue, St. Louis, Missouri 63110, USA 3 Department of Neurology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA 4 Division of Biology and Biomedical Sciences, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA 5 The Hope Center for Neurological Disorders, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Nigel J Cairns
- 2 Knight Alzheimer's Disease Research Center, Washington University in St. Louis, 4488 Forest Park Avenue, St. Louis, Missouri 63110, USA 3 Department of Neurology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA 5 The Hope Center for Neurological Disorders, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - John C Morris
- 2 Knight Alzheimer's Disease Research Center, Washington University in St. Louis, 4488 Forest Park Avenue, St. Louis, Missouri 63110, USA 3 Department of Neurology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Anne M Fagan
- 2 Knight Alzheimer's Disease Research Center, Washington University in St. Louis, 4488 Forest Park Avenue, St. Louis, Missouri 63110, USA 3 Department of Neurology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA 5 The Hope Center for Neurological Disorders, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Beau M Ances
- 2 Knight Alzheimer's Disease Research Center, Washington University in St. Louis, 4488 Forest Park Avenue, St. Louis, Missouri 63110, USA 3 Department of Neurology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA 5 The Hope Center for Neurological Disorders, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA
| | - Tammie L S Benzinger
- 1 Department of Radiology, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA 2 Knight Alzheimer's Disease Research Center, Washington University in St. Louis, 4488 Forest Park Avenue, St. Louis, Missouri 63110, USA 6 Department of Neurological Surgery, Washington University in St. Louis, 660 South Euclid Avenue, St. Louis, Missouri 63108, USA
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Mou C, Han T, Wang M, Jiang M, Liu B, Hu J. Correlation of polymorphism of APOE and LRP genes to cognitive impairment and behavioral and psychological symptoms of dementia in Alzheimer's disease and vascular dementia. Int J Clin Exp Med 2015; 8:21679-21683. [PMID: 26885125 PMCID: PMC4723970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Accepted: 10/28/2015] [Indexed: 06/05/2023]
Abstract
OBJECTIVE To discuss the correlation of polymorphism of APOE and LRP genes to cognitive impairment and behavioral and psychological symptoms of dementia (BPSD) in Alzheimer's disease (AD) and vascular dementia (VD). METHOD AD cases, VD cases and healthy control cases totaling 237, 255 and 234 were recruited, respectively. The mini-mental state examination (MMSE) was performed to evaluate cognitive impairment. Hamilton Depression Rating Scale (HAMD) and Hamilton Anxiety Scale (HAMA) were adopted to evaluate BPSD. Apolipoprotein E (APOE) and Low-density lipoprotein receptor-related protein gene (LRP) genotyping was carried out using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). RESULTS (1) Frequencies of APOEε4 allele in AD group and VD group were significantly higher than that of the control (P<0.05); (2) MMSE scores of APOEε4 carriers in AD group and VD group were lower than that of non-APOEε4 carriers in the same group (P<0.05); (3) The proportion of APOEε4 carriers presenting with BPSD in AD group was considerably higher that of non-APOEε4 carriers (P<0.05). CONCLUSION APOEε4 may be the common risk factor for cognitive impairment in AD and VD and the risk factor for BPSD in AD.
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Affiliation(s)
- Chengzhi Mou
- Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong UniversityNo. 9677, Jingshi Road, Jinan 250021, Shandong, China
| | - Tao Han
- Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong UniversityNo. 9677, Jingshi Road, Jinan 250021, Shandong, China
| | - Min Wang
- Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong UniversityNo. 9677, Jingshi Road, Jinan 250021, Shandong, China
| | - Meng Jiang
- Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong UniversityNo. 9677, Jingshi Road, Jinan 250021, Shandong, China
| | - Bin Liu
- Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong UniversityNo. 9677, Jingshi Road, Jinan 250021, Shandong, China
| | - Jia Hu
- Department of Neurosurgery, Yantaishan HospitalNo. 91, Jiefang Road, Zhifu, Yantai 264000, Shandong, China
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