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Almeida FC, Jesus T, Coelho A, Quintas-Neves M, Gauthreaux K, Teylan MA, Mock CN, Kukull WA, Crary JF, Oliveira TG. Psychosis in Alzheimer's disease is associated with specific changes in brain MRI volume, cognition and neuropathology. Neurobiol Aging 2024; 138:10-18. [PMID: 38471417 DOI: 10.1016/j.neurobiolaging.2024.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 02/25/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024]
Abstract
Psychosis in Alzheimer's Disease (AD) is prevalent and indicates poor prognosis. However, the neuropathological, cognitive and brain atrophy patterns underlying these symptoms have not been fully elucidated. In this study, we evaluated 178 patients with AD neuropathological change (ADNC) and ante-mortem volumetric brain magnetic resonance imaging (MRI). Presence of psychosis was determined using the Neuropsychiatric Inventory Questionnaire. Clinical Dementia Rating Sum-of-boxes (CDR-SB) was longitudinally compared between groups with a follow-up of 3000 days using mixed-effects multiple linear regression. Neuropsychological tests closest to the time of MRI and brain regional volumes were cross-sectionally compared. Psychosis was associated with lower age of death, higher longitudinal CDR-SB scores, multi-domain cognitive deficits, higher neuritic plaque severity, Braak stage, Lewy Body pathology (LB) and right temporal lobe regional atrophy. Division according to the presence of LB showed differential patterns of AD-typical pathology, cognitive deficits and regional atrophy. In conclusion, psychosis in ADNC with and without LB has clinical value and associates with subgroup patterns of neuropathology, cognition and regional atrophy.
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Affiliation(s)
- Francisco C Almeida
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Department of Neuroradiology, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Tiago Jesus
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Center Algoritmi, LASI, University of Minho, Braga 4710-057, Portugal
| | - Ana Coelho
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal
| | - Miguel Quintas-Neves
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Department of Neuroradiology, Hospital de Braga, Braga, Portugal
| | - Kathryn Gauthreaux
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Merilee A Teylan
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Charles N Mock
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Walter A Kukull
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - John F Crary
- Neuropathology Brain Bank & Research Core, Department of Pathology, Nash Family Department of Neuroscience, Department of Artificial Intelligence & Human Health, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tiago Gil Oliveira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Department of Neuroradiology, Hospital de Braga, Braga, Portugal.
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Wang HP, Scalco R, Saito N, Beckett L, Nguyen ML, Huie EZ, Honig LS, DeCarli C, Rissman RA, Teich AF, Mungas DM, Jin LW, Dugger BN. The neuropathological landscape of small vessel disease and Lewy pathology in a cohort of Hispanic and non-Hispanic White decedents with Alzheimer disease. Acta Neuropathol Commun 2024; 12:81. [PMID: 38790074 PMCID: PMC11127432 DOI: 10.1186/s40478-024-01773-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/03/2024] [Indexed: 05/26/2024] Open
Abstract
Cerebrovascular and α-synuclein pathologies are frequently observed alongside Alzheimer disease (AD). The heterogeneity of AD necessitates comprehensive approaches to postmortem studies, including the representation of historically underrepresented ethnic groups. In this cohort study, we evaluated small vessel disease pathologies and α-synuclein deposits among Hispanic decedents (HD, n = 92) and non-Hispanic White decedents (NHWD, n = 184) from three Alzheimer's Disease Research Centers: Columbia University, University of California San Diego, and University of California Davis. The study included cases with a pathological diagnosis of Intermediate/High AD based on the National Institute on Aging- Alzheimer's Association (NIA-AA) and/or NIA-Reagan criteria. A 2:1 random comparison sample of NHWD was frequency-balanced and matched with HD by age and sex. An expert blinded to demographics and center origin evaluated arteriolosclerosis, cerebral amyloid angiopathy (CAA), and Lewy bodies/Lewy neurites (LBs/LNs) with a semi-quantitative approach using established criteria. There were many similarities and a few differences among groups. HD showed more severe Vonsattel grading of CAA in the cerebellum (p = 0.04), higher CAA density in the posterior hippocampus and cerebellum (ps = 0.01), and increased LBs/LNs density in the frontal (p = 0.01) and temporal cortices (p = 0.03), as determined by Wilcoxon's test. Ordinal logistic regression adjusting for age, sex, and center confirmed these findings except for LBs/LNs in the temporal cortex. Results indicate HD with AD exhibit greater CAA and α-synuclein burdens in select neuroanatomic regions when compared to age- and sex-matched NHWD with AD. These findings aid in the generalizability of concurrent arteriolosclerosis, CAA, and LBs/LNs topography and severity within the setting of pathologically confirmed AD, particularly in persons of Hispanic descent, showing many similarities and a few differences to those of NHW descent and providing insights into precision medicine approaches.
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Affiliation(s)
- Hsin-Pei Wang
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Rebeca Scalco
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Naomi Saito
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Laurel Beckett
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - My-Le Nguyen
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Emily Z Huie
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Lawrence S Honig
- Taub Institute for Research on Alzheimer's Disease and Aging Brain, Department of Neurology, Columbia University Medical Center, New York, USA
| | - Charles DeCarli
- Alzheimer's Disease Research Center, Department of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Robert A Rissman
- Department of Neurosciences, University of California San Diego, San Diego, La Jolla, CA, USA
| | - Andrew F Teich
- Taub Institute for Research on Alzheimer's Disease and Aging Brain, Department of Neurology, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, USA
| | - Dan M Mungas
- Alzheimer's Disease Research Center, Department of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Lee-Way Jin
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
- Alzheimer's Disease Research Center, Department of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Brittany N Dugger
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.
- Alzheimer's Disease Research Center, Department of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA.
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3
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Nelson PT, Fardo DW, Wu X, Aung KZ, Cykowski MD, Katsumata Y. Limbic-predominant age-related TDP-43 encephalopathy (LATE-NC): Co-pathologies and genetic risk factors provide clues about pathogenesis. J Neuropathol Exp Neurol 2024; 83:396-415. [PMID: 38613823 PMCID: PMC11110076 DOI: 10.1093/jnen/nlae032] [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: 04/15/2024] Open
Abstract
Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) is detectable at autopsy in more than one-third of people beyond age 85 years and is robustly associated with dementia independent of other pathologies. Although LATE-NC has a large impact on public health, there remain uncertainties about the underlying biologic mechanisms. Here, we review the literature from human studies that may shed light on pathogenetic mechanisms. It is increasingly clear that certain combinations of pathologic changes tend to coexist in aging brains. Although "pure" LATE-NC is not rare, LATE-NC often coexists in the same brains with Alzheimer disease neuropathologic change, brain arteriolosclerosis, hippocampal sclerosis of aging, and/or age-related tau astrogliopathy (ARTAG). The patterns of pathologic comorbidities provide circumstantial evidence of mechanistic interactions ("synergies") between the pathologies, and also suggest common upstream influences. As to primary mediators of vulnerability to neuropathologic changes, genetics may play key roles. Genes associated with LATE-NC include TMEM106B, GRN, APOE, SORL1, ABCC9, and others. Although the anatomic distribution of TDP-43 pathology defines the condition, important cofactors for LATE-NC may include Tau pathology, endolysosomal pathways, and blood-brain barrier dysfunction. A review of the human phenomenology offers insights into disease-driving mechanisms, and may provide clues for diagnostic and therapeutic targets.
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Affiliation(s)
- Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, Kentucky, USA
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
| | - David W Fardo
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Xian Wu
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Khine Zin Aung
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Matthew D Cykowski
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA
| | - Yuriko Katsumata
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
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Chemparathy A, Le Guen Y, Chen S, Lee EG, Leong L, Gorzynski JE, Jensen TD, Ferrasse A, Xu G, Xiang H, Belloy ME, Kasireddy N, Peña-Tauber A, Williams K, Stewart I, Talozzi L, Wingo TS, Lah JJ, Jayadev S, Hales CM, Peskind E, Child DD, Roeber S, Keene CD, Cong L, Ashley EA, Yu CE, Greicius MD. APOE loss-of-function variants: Compatible with longevity and associated with resistance to Alzheimer's disease pathology. Neuron 2024; 112:1110-1116.e5. [PMID: 38301647 PMCID: PMC10994769 DOI: 10.1016/j.neuron.2024.01.008] [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: 05/31/2023] [Revised: 10/31/2023] [Accepted: 01/08/2024] [Indexed: 02/03/2024]
Abstract
The ε4 allele of apolipoprotein E (APOE) is the strongest genetic risk factor for sporadic Alzheimer's disease (AD). Knockdown of ε4 may provide a therapeutic strategy for AD, but the effect of APOE loss of function (LoF) on AD pathogenesis is unknown. We searched for APOE LoF variants in a large cohort of controls and patients with AD and identified seven heterozygote carriers of APOE LoF variants. Five carriers were controls (aged 71-90 years), one carrier was affected by progressive supranuclear palsy, and one carrier was affected by AD with an unremarkable age at onset of 75 years. Two APOE ε3/ε4 controls carried a stop-gain affecting ε4: one was cognitively normal at 90 years and had no neuritic plaques at autopsy; the other was cognitively healthy at 79 years, and lumbar puncture at 76 years showed normal levels of amyloid. These results suggest that ε4 drives AD risk through the gain of abnormal function and support ε4 knockdown as a viable therapeutic option.
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Affiliation(s)
- Augustine Chemparathy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Sunny Chen
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Eun-Gyung Lee
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Lesley Leong
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - John E Gorzynski
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Tanner D Jensen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexis Ferrasse
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Guangxue Xu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Hong Xiang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Andrés Peña-Tauber
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Kennedy Williams
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Ilaria Stewart
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lia Talozzi
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Thomas S Wingo
- Emory University School of Medicine, Atlanta, GA, USA; Goizueta Alzheimer's Disease Center, Emory University School of Medicine, Atlanta, GA, USA
| | - James J Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Chadwick M Hales
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, University of Washington, Seattle, WA, USA
| | - Elaine Peskind
- Veterans Affairs Northwest Network Mental Illness Research, Education, and Clinical Center, Veteran Affairs Puget Sound Health Care System, Seattle, WA, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Daniel D Child
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Sigrun Roeber
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Le Cong
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Euan A Ashley
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA, USA; Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Chang-En Yu
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
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Ruthirakuhan M, Swardfager W, Xiong L, MacIntosh BJ, Rabin JS, Lanctôt KL, Ottoy J, Ramirez J, Keith J, Black SE. Investigating the impact of hypertension with and without diabetes on Alzheimer's disease risk: A clinico-pathological study. Alzheimers Dement 2024; 20:2766-2778. [PMID: 38425134 PMCID: PMC11032528 DOI: 10.1002/alz.13717] [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: 08/04/2023] [Revised: 01/02/2024] [Accepted: 01/04/2024] [Indexed: 03/02/2024]
Abstract
INTRODUCTION Hypertension and diabetes are common cardiovascular risk factors that increase Alzheimer's disease (AD) risk. However, it is unclear whether AD risk differs in hypertensive individuals with and without diabetes. METHODS Cognitively normal individuals (N = 11,074) from the National Alzheimer's Coordinating Center (NACC) were categorized as having (1) hypertension with diabetes (HTN+/DM+), (2) hypertension without diabetes (HTN+/DM-), or (3) neither (HTN-/DM-). AD risk in HTN+/DM+ and HTN+/DM- was compared to HTN-/DM-. This risk was then investigated in those with AD neuropathology (ADNP), cerebral amyloid angiopathy (CAA), cerebrovascular neuropathology (CVNP), arteriolosclerosis, and atherosclerosis. Finally, AD risk in HTN-/DM+ was compared to HTN-/DM-. RESULTS Seven percent (N = 830) of individuals developed AD. HTN+/DM+ (hazard ratio [HR] = 1.31 [1.19-1.44]) and HTN+/DM- (HR = 1.24 [1.17-1.32]) increased AD risk compared to HTN-/DM-. AD risk was greater in HTN+/DM+ with ADNP (HR = 2.10 [1.16-3.79]) and CAA (HR = 1.52 [1.09-2.12]), and in HTN+/DM- with CVNP (HR = 1.54 [1.17-2.03]). HTN-/DM+ also increased AD risk (HR = 1.88 [1.30-2.72]) compared to HTN-/DM-. DISCUSSION HTN+/DM+ and HTN+/DM- increased AD risk compared to HTN-/DM-, but pathological differences between groups suggest targeted therapies may be warranted based on cardiovascular risk profiles. HIGHLIGHTS AD risk was studied in hypertensive (HTN+) individuals with/without diabetes (DM+/-). HTN+/DM+ and HTN+/DM- both had an increased risk of AD compared to HTN-/DM-. Post mortem analysis identified neuropathological differences between HTN+/DM+ and HTN+/DM-. In HTN+/DM+, AD risk was greater in those with AD neuropathology and CAA. In HTN+/DM-, AD risk was greater in those with cerebrovascular neuropathology.
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Affiliation(s)
- Myuri Ruthirakuhan
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
| | - Walter Swardfager
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
- Department of Pharmacology and ToxicologyUniversity of TorontoTorontoOntarioCanada
| | - Lisa Xiong
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
- Department of Pharmacology and ToxicologyUniversity of TorontoTorontoOntarioCanada
| | - Bradley J. MacIntosh
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Jennifer S. Rabin
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineSunnybrook Health Sciences CentreTorontoOntarioCanada
- Harquail Centre for NeuromodulationSunnybrook Research InstituteTorontoOntarioCanada
| | - Krista L. Lanctôt
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
- Department of Pharmacology and ToxicologyUniversity of TorontoTorontoOntarioCanada
- Department of PsychiatrySunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Julie Ottoy
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
| | - Joel Ramirez
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
| | - Julia Keith
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
- Department of Anatomic PathologySunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Sandra E. Black
- Dr. Sandra Black Centre for Brain Resilience and RecoveryHurvitz Brain Sciences Research ProgramSunnybrook Research InstituteTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineSunnybrook Health Sciences CentreTorontoOntarioCanada
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6
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Kanakaraj P, Yao T, Cai LY, Lee HH, Newlin NR, Kim ME, Gao C, Pechman KR, Archer D, Hohman T, Jefferson A, Beason-Held LL, Resnick SM, Garyfallidis E, Anderson A, Schilling KG, Landman BA, Moyer D. DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. Neuroinformatics 2024; 22:193-205. [PMID: 38526701 DOI: 10.1007/s12021-024-09655-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 03/27/2024]
Abstract
T1-weighted (T1w) MRI has low frequency intensity artifacts due to magnetic field inhomogeneities. Removal of these biases in T1w MRI images is a critical preprocessing step to ensure spatially consistent image interpretation. N4ITK bias field correction, the current state-of-the-art, is implemented in such a way that makes it difficult to port between different pipelines and workflows, thus making it hard to reimplement and reproduce results across local, cloud, and edge platforms. Moreover, N4ITK is opaque to optimization before and after its application, meaning that methodological development must work around the inhomogeneity correction step. Given the importance of bias fields correction in structural preprocessing and flexible implementation, we pursue a deep learning approximation / reinterpretation of the N4ITK bias fields correction to create a method which is portable, flexible, and fully differentiable. In this paper, we trained a deep learning network "DeepN4" on eight independent cohorts from 72 different scanners and age ranges with N4ITK-corrected T1w MRI and bias field for supervision in log space. We found that we can closely approximate N4ITK bias fields correction with naïve networks. We evaluate the peak signal to noise ratio (PSNR) in test dataset against the N4ITK corrected images. The median PSNR of corrected images between N4ITK and DeepN4 was 47.96 dB. In addition, we assess the DeepN4 model on eight additional external datasets and show the generalizability of the approach. This study establishes that incompatible N4ITK preprocessing steps can be closely approximated by naïve deep neural networks, facilitating more flexibility. All code and models are released at https://github.com/MASILab/DeepN4 .
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Affiliation(s)
- Praitayini Kanakaraj
- Department of Computer Science, Vanderbilt University, 400 24th Ave S, Nashville, TN, 37240, USA.
| | - Tianyuan Yao
- Department of Computer Science, Vanderbilt University, 400 24th Ave S, Nashville, TN, 37240, USA
| | - Leon Y Cai
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Ho Hin Lee
- Department of Computer Science, Vanderbilt University, 400 24th Ave S, Nashville, TN, 37240, USA
| | - Nancy R Newlin
- Department of Computer Science, Vanderbilt University, 400 24th Ave S, Nashville, TN, 37240, USA
| | - Michael E Kim
- Department of Computer Science, Vanderbilt University, 400 24th Ave S, Nashville, TN, 37240, USA
| | - Chenyu Gao
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kimberly R Pechman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Derek Archer
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Timothy Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Angela Jefferson
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lori L Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute On Aging, National Institutes of Health, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute On Aging, National Institutes of Health, Baltimore, MD, USA
| | | | - Adam Anderson
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Radiology and Radiological Services, Vanderbilt University Medical Center, Vanderbilt University Medical, Nashville, TN, USA
| | - Kurt G Schilling
- Vanderbilt University Institute for Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bennett A Landman
- Department of Computer Science, Vanderbilt University, 400 24th Ave S, Nashville, TN, 37240, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Radiology and Radiological Services, Vanderbilt University Medical Center, Vanderbilt University Medical, Nashville, TN, USA
- Vanderbilt University Institute for Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel Moyer
- Department of Computer Science, Vanderbilt University, 400 24th Ave S, Nashville, TN, 37240, USA
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7
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Li Z, Liang D, Ebelt S, Gearing M, Kobor MS, Konwar C, Maclsaac JL, Dever K, Wingo AP, Levey AI, Lah JJ, Wingo TS, Hüls A. Differential DNA methylation in the brain as potential mediator of the association between traffic-related PM 2.5 and neuropathology markers of Alzheimer's disease. Alzheimers Dement 2024; 20:2538-2551. [PMID: 38345197 PMCID: PMC11032571 DOI: 10.1002/alz.13650] [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: 05/31/2023] [Revised: 09/29/2023] [Accepted: 11/30/2023] [Indexed: 02/27/2024]
Abstract
INTRODUCTION Growing evidence indicates that fine particulate matter (PM2.5) is a risk factor for Alzheimer's disease (AD), but the underlying mechanisms have been insufficiently investigated. We hypothesized differential DNA methylation (DNAm) in brain tissue as a potential mediator of this association. METHODS We assessed genome-wide DNAm (Illumina EPIC BeadChips) in prefrontal cortex tissue and three AD-related neuropathological markers (Braak stage, CERAD, ABC score) for 159 donors, and estimated donors' residential traffic-related PM2.5 exposure 1, 3, and 5 years prior to death. We used a combination of the Meet-in-the-Middle approach, high-dimensional mediation analysis, and causal mediation analysis to identify potential mediating CpGs. RESULTS PM2.5 was significantly associated with differential DNAm at cg25433380 and cg10495669. Twenty-four CpG sites were identified as mediators of the association between PM2.5 exposure and neuropathology markers, several located in genes related to neuroinflammation. DISCUSSION Our findings suggest differential DNAm related to neuroinflammation mediates the association between traffic-related PM2.5 and AD. HIGHLIGHTS First study to evaluate the potential mediation effect of DNA methylation for the association between PM2.5 exposure and neuropathological changes of Alzheimer's disease. Study was based on brain tissues rarely investigated in previous air pollution research. Cg10495669, assigned to RBCK1 gene playing a role in inflammation, was associated consistently with 1-year, 3-year, and 5-year traffic-related PM2.5 exposures prior to death. Meet-in-the-middle approach and high-dimensional mediation analysis were used simultaneously to increase the potential of identifying the differentially methylated CpGs. Differential DNAm related to neuroinflammation was found to mediate the association between traffic-related PM2.5 and Alzheimer's disease.
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Affiliation(s)
- Zhenjiang Li
- Gangarosa Department of Environmental HealthRollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
| | - Donghai Liang
- Gangarosa Department of Environmental HealthRollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
- Department of EpidemiologyRollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
| | - Stefanie Ebelt
- Gangarosa Department of Environmental HealthRollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
- Department of EpidemiologyRollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
| | - Marla Gearing
- Department of Pathology and Laboratory MedicineEmory UniversityAtlantaGeorgiaUSA
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Michael S. Kobor
- Department of Medical GeneticsUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- BC Children's Hospital Research InstituteVancouverBritish ColumbiaCanada
- Centre for Molecular Medicine and TherapeuticsVancouverBritish ColumbiaCanada
| | - Chaini Konwar
- Department of Medical GeneticsUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- BC Children's Hospital Research InstituteVancouverBritish ColumbiaCanada
| | - Julie L. Maclsaac
- Department of Medical GeneticsUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- BC Children's Hospital Research InstituteVancouverBritish ColumbiaCanada
- Centre for Molecular Medicine and TherapeuticsVancouverBritish ColumbiaCanada
| | - Kristy Dever
- Department of Medical GeneticsUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- BC Children's Hospital Research InstituteVancouverBritish ColumbiaCanada
- Centre for Molecular Medicine and TherapeuticsVancouverBritish ColumbiaCanada
| | - Aliza P. Wingo
- Division of Mental HealthAtlanta VA Medical CenterDecaturGeorgiaUSA
- Department of PsychiatryEmory University School of MedicineAtlantaGeorgiaUSA
| | - Allan I. Levey
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - James J. Lah
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Thomas S. Wingo
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
- Department of Human GeneticsEmory UniversityAtlantaGeorgiaUSA
| | - Anke Hüls
- Gangarosa Department of Environmental HealthRollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
- Department of EpidemiologyRollins School of Public HealthEmory UniversityAtlantaGeorgiaUSA
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Hsu CC, Wang SI, Lin HC, Lin ES, Yang FP, Chang CM, Wei JCC. Difference of Cerebrospinal Fluid Biomarkers and Neuropsychiatric Symptoms Profiles among Normal Cognition, Mild Cognitive Impairment, and Dementia Patient. Int J Mol Sci 2024; 25:3919. [PMID: 38612729 PMCID: PMC11012002 DOI: 10.3390/ijms25073919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
The delineation of biomarkers and neuropsychiatric symptoms across normal cognition, mild cognitive impairment (MCI), and dementia stages holds significant promise for early diagnosis and intervention strategies. This research investigates the association of neuropsychiatric symptoms, evaluated via the Neuropsychiatric Inventory (NPI), with cerebrospinal fluid (CSF) biomarkers (Amyloid-β42, P-tau, T-tau) across a spectrum of cognitive states to enhance diagnostic accuracy and treatment approaches. Drawing from the National Alzheimer's Coordinating Center's Uniform Data Set Version 3, comprising 977 individuals with normal cognition, 270 with MCI, and 649 with dementia. To assess neuropsychiatric symptoms, we employed the NPI to understand the behavioral and psychological symptoms associated with each cognitive category. For the analysis of CSF biomarkers, we measured levels of Amyloid-β42, P-tau, and T-tau using the enzyme-linked immunosorbent assay (ELISA) and Luminex multiplex xMAP assay protocols. These biomarkers are critical in understanding the pathophysiological underpinnings of Alzheimer's disease and its progression, with specific patterns indicative of disease stage and severity. This study cohort consists of 1896 participants, which is composed of 977 individuals with normal cognition, 270 with MCI, and 649 with dementia. Dementia is characterized by significantly higher NPI scores, which are largely reflective of mood-related symptoms (p < 0.001). In terms of biomarkers, normal cognition shows median Amyloid-β at 656.0 pg/mL, MCI at 300.6 pg/mL, and dementia at 298.8 pg/mL (p < 0.001). Median P-tau levels are 36.00 pg/mL in normal cognition, 49.12 pg/mL in MCI, and 58.29 pg/mL in dementia (p < 0.001). Median T-tau levels are 241.0 pg/mL in normal cognition, 140.6 pg/mL in MCI, and 298.3 pg/mL in dementia (p < 0.001). Furthermore, the T-tau/Aβ-42 ratio increases progressively from 0.058 in the normal cognition group to 0.144 in the MCI group, and to 0.209 in the dementia group (p < 0.001). Similarly, the P-tau/Aβ-42 ratio also escalates from 0.305 in individuals with normal cognition to 0.560 in MCI, and to 0.941 in dementia (p < 0.001). The notable disparities in NPI and CSF biomarkers among normal, MCI and Alzheimer's patients underscore their diagnostic potential. Their combined assessment could greatly improve early detection and precise diagnosis of MCI and dementia, facilitating more effective and timely treatment strategies.
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Affiliation(s)
- Ching-Chi Hsu
- Board of Directors, Wizcare Medical Corporation Aggregate, Taichung 404, Taiwan;
- International Intercollegiate Ph.D. Program, National Tsing Hua University, Hsinchu 300, Taiwan
| | - Shiow-Ing Wang
- Center for Health Data Science, Department of Medical Research, Chung Shan Medical University Hospital, Taichung 402, Taiwan;
- Institute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan
| | - Hong-Chun Lin
- Center for Traditional Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan;
- Institute of Traditional Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Eric S. Lin
- Department of Economics, National Tsing Hua University, Hsinchu 300, Taiwan;
- EMBA/MBA/MFB/MPM/HBA Programs, National Tsing Hua University, Hsinchu 300, Taiwan
| | - Fan-Pei Yang
- Department of Foreign Languages and Literatures, National Tsinghua University, Hsinchu 300, Taiwan;
- Department of Oral and Maxillofacial Radiology, Graduate School of Dentistry, Osaka University, Osaka 565-0871, Japan
| | - Ching-Mao Chang
- Center for Traditional Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan;
- Institute of Traditional Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - James Cheng-Chung Wei
- Institute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan
- Department of Nursing, Chung Shan Medical University, Taichung 402, Taiwan
- Department of Allergy, Immunology and Rheumatology, Chung Shan Medical University Hospital, Taichung 402, Taiwan
- Graduate Institute of Integrated Medicine, China Medical University, Taichung 402, Taiwan
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9
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Christensen GM, Li Z, Liang D, Ebelt S, Gearing M, Levey AI, Lah JJ, Wingo A, Wingo T, Hüls A. Association of PM 2.5 Exposure and Alzheimer Disease Pathology in Brain Bank Donors-Effect Modification by APOE Genotype. Neurology 2024; 102:e209162. [PMID: 38382009 DOI: 10.1212/wnl.0000000000209162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/07/2023] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Fine particulate matter (PM2.5) exposure has been found to be associated with Alzheimer disease (AD) and is hypothesized to cause inflammation and oxidative stress in the brain, contributing to neuropathology. The APOE gene, a major genetic risk factor of AD, has been hypothesized to modify the association between PM2.5 and AD. However, little prior research exists to support these hypotheses. This study investigates the association between traffic-related PM2.5 and AD hallmark pathology, including effect modification by APOE genotype, in an autopsy cohort. METHODS A cross-sectional study was conducted using brain tissue donors enrolled in the Emory Goizueta AD Research Center who died before 2020 (n = 224). Donors were assessed for AD pathology including the Braak stage, Consortium to Establish a Registry for AD (CERAD) score, and combined AD neuropathologic change (ABC) score. Traffic-related PM2.5 concentrations were modeled for the metro-Atlanta area during 2002-2019 with a spatial resolution of 200-250 m. One-year, 3-year, and 5-year average PM2.5 concentrations before death were matched to participants' home address. We assessed the association between traffic-related PM2.5 and AD hallmark pathology and effect modification by APOE genotype, using adjusted ordinal logistic regression models. RESULTS Among the 224 participants, the mean age of death was 76 years, and 57% had at least 1 APOE ε4 copy. Traffic-related PM2.5 was significantly associated with the CERAD score for the 1-year exposure window (odds ratio [OR] 1.92; 95% CI 1.12-3.30) and the 3-year exposure window (OR 1.87; 95% CI 1.01-3.17). PM2.5 was also associated with higher Braak stage and ABC score albeit nonsignificantly. The strongest associations between PM2.5 and neuropathology markers were among those without APOE ε4 alleles (e.g., for the CERAD score and 1-year exposure window, OR 2.31; 95% CI 1.36-3.94), though interaction between PM2.5 and APOE genotype was not statistically significant. DISCUSSION Our study found traffic-related PM2.5 exposure was associated with the CERAD score in an autopsy cohort, contributing to epidemiologic evidence that PM2.5 affects β-amyloid deposition in the brain. This association was particularly strong among donors without APOE ε4 alleles. Future studies should further investigate the biological mechanisms behind this association.
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Affiliation(s)
- Grace M Christensen
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Zhenjiang Li
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Donghai Liang
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Stefanie Ebelt
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Marla Gearing
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Allan I Levey
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - James J Lah
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Aliza Wingo
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Thomas Wingo
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
| | - Anke Hüls
- From the Department of Epidemiology (G.M.C., D.L., S.E., A.H.), Gangarosa Department of Environmental Health (Z.L., D.L., S.E., A.H.), Rollins School of Public Health, and Department of Pathology and Laboratory Medicine (M.G.), Emory University; Department of Neurology (M.G., A.I.L., J.J.L., T.W.), Emory University School of Medicine, Atlanta; Division of Mental Health (A.W.), Atlanta VA Medical Center, Decatur; Department of Psychiatry (A.W.), Emory University School of Medicine; and Department of Human Genetics (T.W.), Emory University, Atlanta, GA
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10
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Zhang J, Song L, Miller Z, Chan KCG, Huang KL. Machine learning models identify predictive features of patient mortality across dementia types. COMMUNICATIONS MEDICINE 2024; 4:23. [PMID: 38418871 PMCID: PMC10901806 DOI: 10.1038/s43856-024-00437-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 01/11/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Dementia care is challenging due to the divergent trajectories in disease progression and outcomes. Predictive models are needed to flag patients at risk of near-term mortality and identify factors contributing to mortality risk across different dementia types. METHODS Here, we developed machine-learning models predicting dementia patient mortality at four different survival thresholds using a dataset of 45,275 unique participants and 163,782 visit records from the U.S. National Alzheimer's Coordinating Center (NACC). We built multi-factorial XGBoost models using a small set of mortality predictors and conducted stratified analyses with dementiatype-specific models. RESULTS Our models achieved an area under the receiver operating characteristic curve (AUC-ROC) of over 0.82 utilizing nine parsimonious features for all 1-, 3-, 5-, and 10-year thresholds. The trained models mainly consisted of dementia-related predictors such as specific neuropsychological tests and were minimally affected by other age-related causes of death, e.g., stroke and cardiovascular conditions. Notably, stratified analyses revealed shared and distinct predictors of mortality across eight dementia types. Unsupervised clustering of mortality predictors grouped vascular dementia with depression and Lewy body dementia with frontotemporal lobar dementia. CONCLUSIONS This study demonstrates the feasibility of flagging dementia patients at risk of mortality for personalized clinical management. Parsimonious machine-learning models can be used to predict dementia patient mortality with a limited set of clinical features, and dementiatype-specific models can be applied to heterogeneous dementia patient populations.
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Affiliation(s)
- Jimmy Zhang
- Department of Genetics and Genomic Sciences, Center for Transformative Disease Modeling, Tisch Cancer Institute, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Columbia University, New York, NY, 10027, USA
| | - Luo Song
- School of Medicine, The University of Queensland, Herston, QLD, 4006, Australia
| | - Zachary Miller
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, 98195, USA
| | - Kwun C G Chan
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, 98195, USA
| | - Kuan-Lin Huang
- Department of Genetics and Genomic Sciences, Center for Transformative Disease Modeling, Tisch Cancer Institute, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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11
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Katsumata Y, Wu X, Aung KZ, Gauthreaux K, Mock C, Forrest SL, Kovacs GG, Nelson PT. Pathologic correlates of aging-related tau astrogliopathy: ARTAG is associated with LATE-NC and cerebrovascular pathologies, but not with ADNC. Neurobiol Dis 2024; 191:106412. [PMID: 38244935 PMCID: PMC10892903 DOI: 10.1016/j.nbd.2024.106412] [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: 11/15/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 01/22/2024] Open
Abstract
Age-related tau astrogliopathy (ARTAG) is detectable in the brains of over one-third of autopsied persons beyond age 80, but the pathoetiology of ARTAG is poorly understood. Insights can be gained by analyzing risk factors and comorbid pathologies. Here we addressed the question of which prevalent co-pathologies are observed with increased frequency in brains with ARTAG. The study sample was the National Alzheimer's Coordinating Center (NACC) data set, derived from multiple Alzheimer's disease research centers (ADRCs) in the United States. Data from persons with unusual conditions (e.g. frontotemporal dementia) were excluded leaving 504 individual autopsied research participants, clustering from 20 different ADRCs, autopsied since 2020; ARTAG was reported in 222 (44.0%) of included participants. As has been shown previously, ARTAG was increasingly frequent with older age and in males. The presence and severity of other common subtypes of pathology that were previously linked to dementia were analyzed, stratifying for the presence of ARTAG. In logistical regression-based statistical models that included age and sex as covariates, ARTAG was relatively more likely to be found in brains with limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC), and in brains with comorbid cerebrovascular pathology (arteriolosclerosis and/or brain infarcts). However, ARTAG was not associated with severe Alzheimer's disease neuropathologic change (ADNC), or primary age-related tauopathy (PART). In a subset analysis of 167 participants with neurocognitive testing data, there was a marginal trend for ARTAG pathology to be associated with cognitive impairment as assessed with MMSE scores (P = 0.07, adjusting for age, sex, interval between final clinic visit and death, and ADNC severity). A limitation of the study was that there were missing data about ARTAG pathologies, with incomplete operationalization of ARTAG according to anatomic region and pathologic subtypes (e.g., thorn-shaped or granular-fuzzy astrocytes). In summary, ARTAG was not associated with ADNC, whereas prior observations about ARTAG occurring with increased frequency in aging, males, and brains with LATE-NC were replicated. It remains to be determined whether the increased frequency of ARTAG in brains with comorbid cerebrovascular pathology is related to local infarctions or neuroinflammatory signaling, or with some other set of correlated factors including blood-brain barrier dysfunction.
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Affiliation(s)
- Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, United States of America
| | - Xian Wu
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, United States of America
| | - Khine Zin Aung
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, United States of America
| | - Kathryn Gauthreaux
- National Alzheimer's Coordinating Center, Department of Epidemiology, University of Washington, Seattle, WA 98105, United States of America
| | - Charles Mock
- National Alzheimer's Coordinating Center, Department of Epidemiology, University of Washington, Seattle, WA 98105, United States of America
| | - Shelley L Forrest
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Canada; Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Canada
| | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Canada; Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Canada
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Pathology, Division of Neuropathology, University of Kentucky, Lexington, KY, United States of America.
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12
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Archer DB, Eissman JM, Mukherjee S, Lee ML, Choi S, Scollard P, Trittschuh EH, Mez JB, Bush WS, Kunkle BW, Naj AC, Gifford KA, Cuccaro ML, Pericak‐Vance MA, Farrer LA, Wang L, Schellenberg GD, Mayeux RP, Haines JL, Jefferson AL, Kukull WA, Keene CD, Saykin AJ, Thompson PM, Martin ER, Bennett DA, Barnes LL, Schneider JA, Crane PK, Dumitrescu L, Hohman TJ. Longitudinal change in memory performance as a strong endophenotype for Alzheimer's disease. Alzheimers Dement 2024; 20:1268-1283. [PMID: 37985223 PMCID: PMC10896586 DOI: 10.1002/alz.13508] [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: 06/19/2023] [Revised: 08/28/2023] [Accepted: 08/29/2023] [Indexed: 11/22/2023]
Abstract
INTRODUCTION Although large-scale genome-wide association studies (GWAS) have been conducted on AD, few have been conducted on continuous measures of memory performance and memory decline. METHODS We conducted a cross-ancestry GWAS on memory performance (in 27,633 participants) and memory decline (in 22,365 participants; 129,201 observations) by leveraging harmonized cognitive data from four aging cohorts. RESULTS We found high heritability for two ancestry backgrounds. Further, we found a novel ancestry locus for memory decline on chromosome 4 (rs6848524) and three loci in the non-Hispanic Black ancestry group for memory performance on chromosomes 2 (rs111471504), 7 (rs4142249), and 15 (rs74381744). In our gene-level analysis, we found novel genes for memory decline on chromosomes 1 (SLC25A44), 11 (BSX), and 15 (DPP8). Memory performance and memory decline shared genetic architecture with AD-related traits, neuropsychiatric traits, and autoimmune traits. DISCUSSION We discovered several novel loci, genes, and genetic correlations associated with late-life memory performance and decline. HIGHLIGHTS Late-life memory has high heritability that is similar across ancestries. We discovered four novel variants associated with late-life memory. We identified four novel genes associated with late-life memory. Late-life memory shares genetic architecture with psychiatric/autoimmune traits.
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13
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Bayram E, Coughlin DG, Rajmohan R, Litvan I. Sex differences for clinical correlates of substantia nigra neuron loss in people with Lewy body pathology. Biol Sex Differ 2024; 15:8. [PMID: 38243325 PMCID: PMC10797801 DOI: 10.1186/s13293-024-00583-6] [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: 10/06/2023] [Accepted: 01/08/2024] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND Lewy body dementia (LBD) phenotype is associated with the presence and degree of Lewy body, Alzheimer's pathologies, and substantia nigra neuron loss. Nigral neuron loss is associated with parkinsonism in LBD, and females with LBD are less likely than males to have parkinsonism. As sex differences were reported for clinical correlates of Lewy body and Alzheimer's pathologies, we aimed to investigate whether there are also sex differences for correlates of nigral neuron loss. METHODS Data were obtained from the National Alzheimer's Coordinating Center for females (n = 159) and males (n = 263) with brainstem, limbic, and neocortical Lewy body pathology. Sex differences for the nigral neuron loss' association with Lewy body pathology staging and core clinical LBD features (cognitive fluctuations, visual hallucinations, rapid eye movement sleep behavior disorder, parkinsonism) during follow-up were analyzed with generalized linear models adjusting for age and Alzheimer's pathology staging. Whether any of the core clinical features at the time of dementia onset can predict underlying nigral neuron loss for females and males were also analyzed with generalized linear models. RESULTS Compared to males, females died older and had higher levels of Braak tau staging, but had similar levels of Lewy body pathology staging and nigral neuron loss. Females were less likely than males to have a clinical Lewy body disease diagnosis during follow-up. More advanced Lewy body pathology staging was associated with more nigral neuron loss, more so for males than females. More nigral neuron loss was associated with parkinsonism and clinical LBD diagnosis during follow-up, more so for males than females. Across the subgroup with dementia (40 females, 58 males), core LBD features at first visit with dementia were not associated with nigral neuron loss. CONCLUSIONS Nigral neuron loss' association with Lewy body pathology staging and core LBD features can differ by sex. Compared to males, females with Lewy body pathology have a higher risk of underdiagnosis. There is a need to elucidate the mechanisms underlying sex differences for pathology and clinicopathological correlations to advance diagnostic and therapeutic efforts in LBD.
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Affiliation(s)
- Ece Bayram
- Department of Neurosciences, Parkinson and other Movement Disorders Center, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093-0886, USA.
| | - David G Coughlin
- Department of Neurosciences, Parkinson and other Movement Disorders Center, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093-0886, USA
| | - Ravi Rajmohan
- Department of Neurology, University of California Irvine, 1001 Health Sciences Road, Irvine, CA, 92697-3950, USA
| | - Irene Litvan
- Department of Neurosciences, Parkinson and other Movement Disorders Center, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093-0886, USA
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14
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Tosun D, Yardibi O, Benzinger TLS, Kukull WA, Masters CL, Perrin RJ, Weiner MW, Simen A, Schwarz AJ. Identifying individuals with non-Alzheimer's disease co-pathologies: A precision medicine approach to clinical trials in sporadic Alzheimer's disease. Alzheimers Dement 2024; 20:421-436. [PMID: 37667412 PMCID: PMC10843695 DOI: 10.1002/alz.13447] [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: 05/09/2023] [Revised: 07/14/2023] [Accepted: 08/04/2023] [Indexed: 09/06/2023]
Abstract
INTRODUCTION Biomarkers remain mostly unavailable for non-Alzheimer's disease neuropathological changes (non-ADNC) such as transactive response DNA-binding protein 43 (TDP-43) proteinopathy, Lewy body disease (LBD), and cerebral amyloid angiopathy (CAA). METHODS A multilabel non-ADNC classifier using magnetic resonance imaging (MRI) signatures was developed for TDP-43, LBD, and CAA in an autopsy-confirmed cohort (N = 214). RESULTS A model using demographic, genetic, clinical, MRI, and ADNC variables (amyloid positive [Aβ+] and tau+) in autopsy-confirmed participants showed accuracies of 84% for TDP-43, 81% for LBD, and 81% to 93% for CAA, outperforming reference models without MRI and ADNC biomarkers. In an ADNI cohort (296 cognitively unimpaired, 401 mild cognitive impairment, 188 dementia), Aβ and tau explained 33% to 43% of variance in cognitive decline; imputed non-ADNC explained an additional 16% to 26%. Accounting for non-ADNC decreased the required sample size to detect a 30% effect on cognitive decline by up to 28%. DISCUSSION Our results lead to a better understanding of the factors that influence cognitive decline and may lead to improvements in AD clinical trial design.
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Affiliation(s)
- Duygu Tosun
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Ozlem Yardibi
- Takeda Pharmaceutical Company LtdCambridgeMassachusettsUSA
| | | | - Walter A. Kukull
- Department of EpidemiologyNational Alzheimer's Coordinating CenterUniversity of WashingtonSeattleWashingtonUSA
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Richard J. Perrin
- Department of Pathology & ImmunologyWashington University in St. LouisSt. LouisMissouriUSA
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Michael W. Weiner
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Arthur Simen
- Takeda Pharmaceutical Company LtdCambridgeMassachusettsUSA
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15
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Gauthreaux K, Kukull WA, Nelson KB, Mock C, Chen Y, Chan KCG, Fardo DW, Katsumata Y, Abner EL, Nelson PT. Different cohort, disparate results: Selection bias is a key factor in autopsy cohorts. Alzheimers Dement 2024; 20:266-277. [PMID: 37592813 PMCID: PMC10843760 DOI: 10.1002/alz.13422] [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: 03/16/2023] [Revised: 06/14/2023] [Accepted: 07/10/2023] [Indexed: 08/19/2023]
Abstract
INTRODUCTION Research-oriented autopsy cohorts provide critical insights into dementia pathobiology. However, different studies sometimes report disparate findings, partially because each study has its own recruitment biases. We hypothesized that a straightforward metric, related to the percentage of research volunteers cognitively normal at recruitment, would predict other inter-cohort differences. METHODS The National Alzheimer's Coordinating Center (NACC) provided data on N = 7178 autopsied participants from 28 individual research centers. Research cohorts were grouped based on the proportion of participants with normal cognition at initial clinical visit. RESULTS Cohorts with more participants who were cognitively normal at recruitment contained more individuals who were older, female, had lower frequencies of apolipoprotein E ε4, Lewy body disease, and frontotemporal dementia, but higher rates of cerebrovascular disease. Alzheimer's disease (AD) pathology was little different between groups. DISCUSSION The percentage of participants recruited while cognitively normal predicted differences in findings in autopsy research cohorts. Most differences were in non-AD pathologies. HIGHLIGHTS Systematic differences exist between autopsy cohorts that serve dementia research. We propose a metric to use for gauging a research-oriented autopsy cohort. It is essential to consider the characteristics of autopsy cohorts.
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Affiliation(s)
- Kathryn Gauthreaux
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Walter A. Kukull
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Karin B. Nelson
- National Institute on Neurological Disease and Stroke, National Institutes of HealthWashington, DCUSA
| | - Charles Mock
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Yen‐Chi Chen
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
- Department of StatisticsUniversity of WashingtonSeattleWashingtonUSA
| | - Kwun C. G. Chan
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
- Department of BiostatisticsUniversity of WashingtonSeattleWashingtonUSA
| | - David W. Fardo
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of BiostatisticsUniversity of KentuckyLexingtonKentuckyUSA
| | - Yuriko Katsumata
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of BiostatisticsUniversity of KentuckyLexingtonKentuckyUSA
| | - Erin L. Abner
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of BiostatisticsUniversity of KentuckyLexingtonKentuckyUSA
- Department of Epidemiology and Environmental HealthCollege of Public HealthUniversity of KentuckyLexingtonKentuckyUSA
| | - Peter T. Nelson
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of PathologyDivision of NeuropathologyUniversity of KentuckyLexingtonKentuckyUSA
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16
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Montoliu-Gaya L, Alosco ML, Yhang E, Tripodis Y, Sconzo D, Ally M, Grötschel L, Ashton NJ, Lantero-Rodriguez J, Sauer M, Gomes B, Nilsson J, Brinkmalm G, Sugarman MA, Aparicio HJ, Martin B, Palmisano JN, Steinberg EG, Simkin I, Turk KW, Budson AE, Au R, Farrer L, Jun GR, Kowall NW, Stern RA, Goldstein LE, Qiu WQ, Mez J, Huber BR, Alvarez VE, McKee AC, Zetterberg H, Gobom J, Stein TD, Blennow K. Optimal blood tau species for the detection of Alzheimer's disease neuropathology: an immunoprecipitation mass spectrometry and autopsy study. Acta Neuropathol 2023; 147:5. [PMID: 38159140 PMCID: PMC10757700 DOI: 10.1007/s00401-023-02660-3] [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: 09/07/2023] [Revised: 11/16/2023] [Accepted: 11/16/2023] [Indexed: 01/03/2024]
Abstract
Plasma-to-autopsy studies are essential for validation of blood biomarkers and understanding their relation to Alzheimer's disease (AD) pathology. Few such studies have been done on phosphorylated tau (p-tau) and those that exist have made limited or no comparison of the different p-tau variants. This study is the first to use immunoprecipitation mass spectrometry (IP-MS) to compare the accuracy of eight different plasma tau species in predicting autopsy-confirmed AD. The sample included 123 participants (AD = 69, non-AD = 54) from the Boston University Alzheimer's disease Research Center who had an available ante-mortem plasma sample and donated their brain. Plasma samples proximate to death were analyzed by targeted IP-MS for six different tryptic phosphorylated (p-tau-181, 199, 202, 205, 217, 231), and two non-phosphorylated tau (195-205, 212-221) peptides. NIA-Reagan Institute criteria were used for the neuropathological diagnosis of AD. Binary logistic regressions tested the association between each plasma peptide and autopsy-confirmed AD status. Area under the receiver operating curve (AUC) statistics were generated using predicted probabilities from the logistic regression models. Odds Ratio (OR) was used to study associations between the different plasma tau species and CERAD and Braak classifications. All tau species were increased in AD compared to non-AD, but p-tau217, p-tau205 and p-tau231 showed the highest fold-changes. Plasma p-tau217 (AUC = 89.8), p-tau231 (AUC = 83.4), and p-tau205 (AUC = 81.3) all had excellent accuracy in discriminating AD from non-AD brain donors, even among those with CDR < 1). Furthermore, p-tau217, p-tau205 and p-tau231 showed the highest ORs with both CERAD (ORp-tau217 = 15.29, ORp-tau205 = 5.05 and ORp-tau231 = 3.86) and Braak staging (ORp-tau217 = 14.29, ORp-tau205 = 5.27 and ORp-tau231 = 4.02) but presented increased levels at different amyloid and tau stages determined by neuropathological examination. Our findings support plasma p-tau217 as the most promising p-tau species for detecting AD brain pathology. Plasma p-tau231 and p-tau205 may additionally function as markers for different stages of the disease.
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Affiliation(s)
- Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
| | - Michael L Alosco
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Eukyung Yhang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Daniel Sconzo
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | | | - Lana Grötschel
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Mathias Sauer
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Bárbara Gomes
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Johanna Nilsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Gunnar Brinkmalm
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Michael A Sugarman
- Department of Neurology, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Hugo J Aparicio
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Brett Martin
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Joseph N Palmisano
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Eric G Steinberg
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Irene Simkin
- Department of Medicine, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Katherine W Turk
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, 02130, USA
| | - Andrew E Budson
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, 02130, USA
| | - Rhoda Au
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Medicine, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Lindsay Farrer
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Medicine, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Gyungah R Jun
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Medicine, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Neil W Kowall
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Robert A Stern
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Neurosurgery, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Lee E Goldstein
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Psychiatry and Ophthalmology, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Biomedical, Electrical and Computer Engineering, Boston University College of Engineering, Boston, MA, 02215, USA
| | - Wei Qiao Qiu
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Pharmacology and Experimental Therapeutics, Boston University, Chobanian an Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Psychiatry, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Bertrand Russell Huber
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, 02130, USA
| | - Victor E Alvarez
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, 02130, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA, 01730, USA
| | - Ann C McKee
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, 02130, USA
- Department of Psychiatry and Ophthalmology, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- UW Department of Medicine, School of Medicine and Public Health, Madison, WI, USA
| | - Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Thor D Stein
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Psychiatry and Ophthalmology, Boston University School of Medicine, Boston, MA, 02118, USA
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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17
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Kanakaraj P, Yao T, Cai LY, Lee HH, Newlin NR, Kim ME, Gao C, Pechman KR, Archer D, Hohman T, Jefferson A, Beason-Held LL, Resnick SM, Garyfallidis E, Anderson A, Schilling KG, Landman BA, Moyer D. DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. RESEARCH SQUARE 2023:rs.3.rs-3585882. [PMID: 38014176 PMCID: PMC10680935 DOI: 10.21203/rs.3.rs-3585882/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
T1-weighted (T1w) MRI has low frequency intensity artifacts due to magnetic field inhomogeneities. Removal of these biases in T1w MRI images is a critical preprocessing step to ensure spatially consistent image interpretation. N4ITK bias field correction, the current state-of-the-art, is implemented in such a way that makes it difficult to port between different pipelines and workflows, thus making it hard to reimplement and reproduce results across local, cloud, and edge platforms. Moreover, N4ITK is opaque to optimization before and after its application, meaning that methodological development must work around the inhomogeneity correction step. Given the importance of bias fields correction in structural preprocessing and flexible implementation, we pursue a deep learning approximation / reinterpretation of the N4ITK bias fields correction to create a method which is portable, flexible, and fully differentiable. In this paper, we trained a deep learning network "DeepN4" on eight independent cohorts from 72 different scanners and age ranges with N4ITK-corrected T1w MRI and bias field for supervision in log space. We found that we can closely approximate N4ITK bias fields correction with naïve networks. We evaluate the peak signal to noise ratio (PSNR) in test dataset against the N4ITK corrected images. The median PSNR of corrected images between N4ITK and DeepN4 was 47.96 dB. In addition, we assess the DeepN4 model on eight additional external datasets and show the generalizability of the approach. This study establishes that incompatible N4ITK preprocessing steps can be closely approximated by naïve deep neural networks, facilitating more flexibility. All code and models are released at https://github.com/MASILab/DeepN4.
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Affiliation(s)
| | - Tianyuan Yao
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Leon Y. Cai
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Ho Hin Lee
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Nancy R. Newlin
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Michael E. Kim
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | | | - Kimberly R. Pechman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Derek Archer
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Timothy Hohman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Angela Jefferson
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lori L. Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | | | | | | | - Adam Anderson
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Radiology and Radiological Services, Vanderbilt University Medical Center, Vanderbilt University Medical, Nashville, TN, USA
| | - Kurt G. Schilling
- Vanderbilt University Institute for Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bennett A. Landman
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Radiology and Radiological Services, Vanderbilt University Medical Center, Vanderbilt University Medical, Nashville, TN, USA
- Vanderbilt University Institute for Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daniel Moyer
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
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18
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Freeze WM, van Veluw SJ, Jansen WJ, Bennett DA, Jacobs HIL. Locus coeruleus pathology is associated with cerebral microangiopathy at autopsy. Alzheimers Dement 2023; 19:5023-5035. [PMID: 37095709 PMCID: PMC10593911 DOI: 10.1002/alz.13096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 03/10/2023] [Accepted: 03/27/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION We investigated the link between locus coeruleus (LC) pathology and cerebral microangiopathy in two large neuropathology datasets. METHODS We included data from the National Alzheimer's Coordinating Center (NACC) database (n = 2197) and Religious Orders Study and Rush Memory and Aging Project (ROSMAP; n = 1637). Generalized estimating equations and logistic regression were used to examine associations between LC hypopigmentation and presence of cerebral amyloid angiopathy (CAA) or arteriolosclerosis, correcting for age at death, sex, cortical Alzheimer's disease (AD) pathology, ante mortem cognitive status, and presence of vascular and genetic risk factors. RESULTS LC hypopigmentation was associated with higher odds of overall CAA in the NACC dataset, leptomeningeal CAA in the ROSMAP dataset, and arteriolosclerosis in both datasets. DISCUSSION LC pathology is associated with cerebral microangiopathy, independent of cortical AD pathology. LC degeneration could potentially contribute to the pathways relating vascular pathology to AD. Future studies of the LC-norepinephrine system on cerebrovascular health are warranted. HIGHLIGHTS We associated locus coeruleus (LC) pathology and cerebral microangiopathy in two large autopsy datasets. LC hypopigmentation was consistently related to arteriolosclerosis in both datasets. LC hypopigmentation was related to cerebral amyloid angiopathy (CAA) presence in the National Alzheimer's Coordinating Center dataset. LC hypopigmentation was related to leptomeningeal CAA in the Religious Orders Study and Rush Memory and Aging Project dataset. LC degeneration may play a role in the pathways relating vascular pathology to Alzheimer's disease.
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Affiliation(s)
- WM Freeze
- Department of Radiology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, 6229 ET, Maastricht, the Netherlands
| | - SJ van Veluw
- Department of Radiology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands
- Department of Neurology, J. Philip Kistler Stroke Research Center, MGH, Boston, MA 02114, USA
| | - WJ Jansen
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, 6229 ET, Maastricht, the Netherlands
- Banner Alzheimer’s Institute, Phoenix, AZ 85006, USA
| | - DA Bennett
- Department of Neurological Sciences, Rush Alzheimer’s Disease Center, Rush University Medical Center; Chicago, IL 60612, USA
| | - HIL Jacobs
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, 6229 ET, Maastricht, the Netherlands
- Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
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19
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Torso M, Ridgway GR, Valotti M, Hardingham I, Chance SA. In vivo cortical diffusion imaging relates to Alzheimer's disease neuropathology. Alzheimers Res Ther 2023; 15:165. [PMID: 37794477 PMCID: PMC10548768 DOI: 10.1186/s13195-023-01309-3] [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: 03/20/2023] [Accepted: 09/17/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND There has been increasing interest in cortical microstructure as a complementary and earlier measure of neurodegeneration than macrostructural atrophy, but few papers have related cortical diffusion imaging to post-mortem neuropathology. This study aimed to characterise the associations between the main Alzheimer's disease (AD) neuropathological hallmarks and multiple cortical microstructural measures from in vivo diffusion MRI. Comorbidities and co-pathologies were also investigated. METHODS Forty-three autopsy cases (8 cognitively normal, 9 mild cognitive impairment, 26 AD) from the National Alzheimer's Coordinating Center and Alzheimer's Disease Neuroimaging Initiative databases were included. Structural and diffusion MRI scans were analysed to calculate cortical minicolumn-related measures (AngleR, PerpPD+, and ParlPD) and mean diffusivity (MD). Neuropathological hallmarks comprised Thal phase, Braak stage, neuritic plaques, and combined AD neuropathological changes (ADNC-the "ABC score" from NIA-AA recommendations). Regarding comorbidities, relationships between cortical microstructure and severity of white matter rarefaction (WMr), cerebral amyloid angiopathy (CAA), atherosclerosis of the circle of Willis (ACW), and locus coeruleus hypopigmentation (LCh) were investigated. Finally, the effect of coexistent pathologies-Lewy body disease and TAR DNA-binding protein 43 (TDP-43)-on cortical microstructure was assessed. RESULTS Cortical diffusivity measures were significantly associated with Thal phase, Braak stage, ADNC, and LCh. Thal phase was associated with AngleR in temporal areas, while Braak stage was associated with PerpPD+ in a wide cortical pattern, involving mainly temporal and limbic areas. A similar association was found between ADNC (ABC score) and PerpPD+. LCh was associated with PerpPD+, ParlPD, and MD. Co-existent neuropathologies of Lewy body disease and TDP-43 exhibited significantly reduced AngleR and MD compared to ADNC cases without co-pathology. CONCLUSIONS Cortical microstructural diffusion MRI is sensitive to AD neuropathology. The associations with the LCh suggest that cortical diffusion measures may indirectly reflect the severity of locus coeruleus neuron loss, perhaps mediated by the severity of microglial activation and tau spreading across the brain. Recognizing the impact of co-pathologies is important for diagnostic and therapeutic decision-making. Microstructural markers of neurodegeneration, sensitive to the range of histopathological features of amyloid, tau, and monoamine pathology, offer a more complete picture of cortical changes across AD than conventional structural atrophy.
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Le Guen Y, Luo G, Ambati A, Damotte V, Jansen I, Yu E, Nicolas A, de Rojas I, Peixoto Leal T, Miyashita A, Bellenguez C, Lian MM, Parveen K, Morizono T, Park H, Grenier-Boley B, Naito T, Küçükali F, Talyansky SD, Yogeshwar SM, Sempere V, Satake W, Alvarez V, Arosio B, Belloy ME, Benussi L, Boland A, Borroni B, Bullido MJ, Caffarra P, Clarimon J, Daniele A, Darling D, Debette S, Deleuze JF, Dichgans M, Dufouil C, During E, Düzel E, Galimberti D, Garcia-Ribas G, García-Alberca JM, García-González P, Giedraitis V, Goldhardt O, Graff C, Grünblatt E, Hanon O, Hausner L, Heilmann-Heimbach S, Holstege H, Hort J, Jung YJ, Jürgen D, Kern S, Kuulasmaa T, Lee KH, Lin L, Masullo C, Mecocci P, Mehrabian S, de Mendonça A, Boada M, Mir P, Moebus S, Moreno F, Nacmias B, Nicolas G, Niida S, Nordestgaard BG, Papenberg G, Papma J, Parnetti L, Pasquier F, Pastor P, Peters O, Pijnenburg YAL, Piñol-Ripoll G, Popp J, Porcel LM, Puerta R, Pérez-Tur J, Rainero I, Ramakers I, Real LM, Riedel-Heller S, Rodriguez-Rodriguez E, Ross OA, Luís Royo J, Rujescu D, Scarmeas N, Scheltens P, Scherbaum N, Schneider A, Seripa D, Skoog I, Solfrizzi V, Spalletta G, Squassina A, van Swieten J, Sánchez-Valle R, Tan EK, Tegos T, Teunissen C, Thomassen JQ, Tremolizzo L, Vyhnalek M, Verhey F, Waern M, Wiltfang J, Zhang J, Zetterberg H, Blennow K, He Z, Williams J, Amouyel P, Jessen F, Kehoe PG, Andreassen OA, Van Duin C, Tsolaki M, Sánchez-Juan P, Frikke-Schmidt R, Sleegers K, Toda T, Zettergren A, Ingelsson M, Okada Y, Rossi G, Hiltunen M, Gim J, Ozaki K, Sims R, Foo JN, van der Flier W, Ikeuchi T, Ramirez A, Mata I, Ruiz A, Gan-Or Z, Lambert JC, Greicius MD, Mignot E. Multiancestry analysis of the HLA locus in Alzheimer's and Parkinson's diseases uncovers a shared adaptive immune response mediated by HLA-DRB1*04 subtypes. Proc Natl Acad Sci U S A 2023; 120:e2302720120. [PMID: 37643212 PMCID: PMC10483635 DOI: 10.1073/pnas.2302720120] [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: 03/02/2023] [Accepted: 05/18/2023] [Indexed: 08/31/2023] Open
Abstract
Across multiancestry groups, we analyzed Human Leukocyte Antigen (HLA) associations in over 176,000 individuals with Parkinson's disease (PD) and Alzheimer's disease (AD) versus controls. We demonstrate that the two diseases share the same protective association at the HLA locus. HLA-specific fine-mapping showed that hierarchical protective effects of HLA-DRB1*04 subtypes best accounted for the association, strongest with HLA-DRB1*04:04 and HLA-DRB1*04:07, and intermediary with HLA-DRB1*04:01 and HLA-DRB1*04:03. The same signal was associated with decreased neurofibrillary tangles in postmortem brains and was associated with reduced tau levels in cerebrospinal fluid and to a lower extent with increased Aβ42. Protective HLA-DRB1*04 subtypes strongly bound the aggregation-prone tau PHF6 sequence, however only when acetylated at a lysine (K311), a common posttranslational modification central to tau aggregation. An HLA-DRB1*04-mediated adaptive immune response decreases PD and AD risks, potentially by acting against tau, offering the possibility of therapeutic avenues.
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Affiliation(s)
- Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
- Institut du Cerveau–Paris Brain Institute–ICM, Paris75013, France
| | - Guo Luo
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Aditya Ambati
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Vincent Damotte
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Iris Jansen
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije University, 1081 HVAmsterdam, The Netherlands
| | - Eric Yu
- The Neuro (Montreal Neurological Institute-Hospital), Montreal, QuebecH3A 2B4, Canada
- Department of Human Genetics, McGill University, Montreal, QuebecH3A 0G4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QuebecH3A 0G4, Canada
| | - Aude Nicolas
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Itziar de Rojas
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
| | - Thiago Peixoto Leal
- Genomic Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland44196, OH
| | - Akinori Miyashita
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata950-218, Japan
| | - Céline Bellenguez
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Michelle Mulan Lian
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore308232, Singapore
- Laboratory of Neurogenetics, Genome Institute of Singapore, A*STAR, Singapore138672, Singapore
| | - Kayenat Parveen
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne50937, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn53127, Germany
| | - Takashi Morizono
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu474-8511, Japan
| | - Hyeonseul Park
- Department of Biomedical Science, Chosun University, Gwangju61452, Korea
| | - Benjamin Grenier-Boley
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Tatsuhiko Naito
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita565-0871, Japan
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo192-0982, Japan
| | - Fahri Küçükali
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp2610, Belgium
- Laboratory of Neurogenetics, Institute Born–Bunge, Antwerp2610, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp2000, Belgium
| | - Seth D. Talyansky
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
| | - Selina Maria Yogeshwar
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
- Department of Neurology, Charité–Universitätsmedizin, Berlin10117, Germany
- Charité–Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin10117, Germany
| | - Vicente Sempere
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Wataru Satake
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo192-0982, Japan
| | - Victoria Alvarez
- Laboratorio de Genética, Hospital Universitario Central de Asturias, Oviedo33011, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo33011, Spain
| | - Beatrice Arosio
- Department of Clinical Sciences and Community Health, University of Milan, Milan20122, Italy
| | - Michael E. Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
| | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia25125, Italy
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry91057, France
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences, Centre for Neurodegenerative Disorders, Neurology Unit, University of Brescia, Brescia25123, Italy
| | - María J. Bullido
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Centro de Biología Molecular Severo Ochoa (UAM-CSIC), Universidad Autónoma de Madrid, Madrid28049, Spain
- Instituto de Investigacion Sanitaria "Hospital la Paz" (IdIPaz), Madrid48903, Spain
| | - Paolo Caffarra
- Unit of Neurology, University of Parma and AOU, Parma43121, Italy
| | - Jordi Clarimon
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona08193, Spain
| | - Antonio Daniele
- Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome00168, Italy
- Neurology Unit, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome00168, Italy
| | - Daniel Darling
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Stéphanie Debette
- University Bordeaux, Inserm, Bordeaux Population Health Research Center, Bordeaux33000, France
- Department of Neurology, Bordeaux University Hospital, Bordeaux33400, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry91057, France
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, 81377, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich37075, Germany
- Munich Cluster for Systems Neurology, Munich81377, Germany
| | - Carole Dufouil
- Inserm, Bordeaux Population Health Research Center, UMR 1219, Univ. Bordeaux, ISPED, CIC 1401-EC, Université de Bordeaux, Bordeaux33405, France
- CHU de Bordeaux, Pole santé publique, Bordeaux33400, France
| | - Emmanuel During
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases, Magdeburg39120, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg39106, Germany
| | - Daniela Galimberti
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, Milan20122, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan20122, Italy
| | | | - José María García-Alberca
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Alzheimer Research Center and Memory Clinic, Andalusian Institute for Neuroscience, Málaga29012, Spain
| | - Pablo García-González
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala751 22, Sweden
- Geriatrics, Uppsala University, Uppsala751 22, Sweden
| | - Oliver Goldhardt
- Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Klinikum recs der Isar, Munich80333, Germany
| | - Caroline Graff
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital-Solna, Stockholm171 64, Swdeen
| | - Edna Grünblatt
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich8032, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich8057, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich8057, Switzerland
| | - Olivier Hanon
- Université de Paris, EA 4468, APHP, Hôpital Broca, Paris75013, France
| | - Lucrezia Hausner
- Department of Geriatric Psychiatry, Central Institute for Mental Health Mannheim, Faculty Mannheim, University of Heidelberg, Heidelberg68159, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn53127, Germany
| | - Henne Holstege
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
- Department of Clinical Genetics, VU University Medical Centre, Amsterdam1081 HV, The Netherlands
| | - Jakub Hort
- Department of Neurology, Memory Clinic, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Prague150 06, Czech Republic
- International Clinical Research Center, St. Anne’s University Hospital Brno, Brno656 91, Czech Republic
| | - Yoo Jin Jung
- Stanford Neurosciences Interdepartmental Program, Stanford University School of Medicine, Stanford94305, CA
| | - Deckert Jürgen
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg97080, Germany
| | - Silke Kern
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg405 30, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg413 45, Sweden
| | - Teemu Kuulasmaa
- Institute of Biomedicine, University of Eastern Finland, Joensuu, Kuopio, Eastern Finland80101, Finland
| | - Kun Ho Lee
- Department of Biomedical Science, Chosun University, Gwangju61452, Republic of Korea
- Department of Integrative Biological Sciences, Chosun University, Gwangju61452, Republic of Korea
- Gwangju Alzheimer's and Related Dementias Cohort Research Center, Chosun University, Gwangju61452, Republic of Korea
- Korea Brain Research Institute, Daegu41062, Republic of Korea
- Neurozen Inc., Seoul06236, Republic of Korea
| | - Ling Lin
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Carlo Masullo
- Institute of Neurology, Catholic University of the Sacred Heart, Rome20123, Italy
| | - Patrizia Mecocci
- Department of Medicine and Surgery, Institute of Gerontology and Geriatrics, University of Perugia, Perugia06123, Italy
| | - Shima Mehrabian
- Clinic of Neurology, UH “Alexandrovska”, Medical University–Sofia, Sofia1431, Bulgaria
| | | | - Mercè Boada
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
| | - Pablo Mir
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville41013, Spain
| | - Susanne Moebus
- Institute for Urban Public Health, University Hospital of University Duisburg-Essen, Essen45147, Germany
| | - Fermin Moreno
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Department of Neurology, Hospital Universitario Donostia, San Sebastian20014, Spain
- Neurosciences Area, Instituto Biodonostia, San Sebastian20014, Spain
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health University of Florence, Florence50121, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence20162, Italy
| | - Gael Nicolas
- Department of Genetics and CNR-MAJ, Normandie Univ, UNIROUEN, Inserm U1245 and CHU Rouen, RouenF-76000, France
| | - Shumpei Niida
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu474-8511, Japan
| | - Børge G. Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital-Herlev Gentofte, Copenhagen2730, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen1172, Denmark
| | - Goran Papenberg
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm171 77, Sweden
| | - Janne Papma
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam3000, The Netherlands
| | - Lucilla Parnetti
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, University of Perugia, Perugia06123, Italy
| | - Florence Pasquier
- Université de Lille, Inserm 1172, CHU Clinical and Research Memory Research Centre of Distalz, Lille59000, France
| | - Pau Pastor
- Fundació Docència i Recerca MútuaTerrassa, Terrassa, Barcelona08221, Spain
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Barcelona08221, Spain
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin37075, Germany
- Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Berlin12203, Germany
| | - Yolande A. L. Pijnenburg
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Hospital Universitari Santa Maria de Lleida, Lleida25198, Spain
- Institut de Recerca Biomedica de Lleida, Lleida25198, Spain
| | - Julius Popp
- Department of Psychiatry, Old Age Psychiatry, Lausanne University Hospital, Lausanne1005, Switzerland
- Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich, Zürich8032, Switzerland
- Institute for Regenerative Medicine, University of Zürich, Zürich8952, Switzerland
| | - Laura Molina Porcel
- Neurological Tissue Bank–Biobanc- Hospital Clinic-Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona08036, Spain
- Alzheimer’s disease and other cognitive disorders Unit, Neurology Department, Hospital Clinic, Barcelona08036, Spain
| | - Raquel Puerta
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
| | - Jordi Pérez-Tur
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Unitat de Genètica Molecular, Institut de Biomedicina de València-Consejo Superior de Investigaciones CientíficasValencia46010, Spain
- Unidad Mixta de Neurologia Genètica, Instituto de Investigación Sanitaria La Fe, Valencia46026, Spain
| | - Innocenzo Rainero
- Department of Neuroscience “Rita Levi Montalcini”, University of Torino, Torino10126, Italy
| | - Inez Ramakers
- Department of Psychiatry and Neuropsychologie, Alzheimer Center Limburg, Maastricht University, Maastricht6229 GS, The Netherlands
| | - Luis M. Real
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla41014, Spain
- Depatamento de Especialidades Quirúrgicas, Bioquímica e Inmunología, Facultad de Medicina, Universidad de Málaga, Málaga29010, Spain
| | - Steffi Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig04109, Germany
| | - Eloy Rodriguez-Rodriguez
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander39011, Spain
| | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic-Florida, Jacksonville32224, FL
- Department of Clinical Genomics, Mayo Clinic-Florida, Jacksonville32224, FL
| | - Jose Luís Royo
- Depatamento de Especialidades Quirúrgicas, Bioquímica e Inmunología. Facultad de Medicina, Universidad de Málaga, Málaga29010, Spain
| | - Dan Rujescu
- Martin-Luther-University Halle-Wittenberg, University Clinic and Outpatient Clinic for Psychiatry, Psychotherapy and Psychosomatics, Halle (Saale)06120, Germany
| | - Nikolaos Scarmeas
- Department of Neurology, The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, Columbia University, New York10032, NY
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, Athens106 79, Greece
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
| | - Norbert Scherbaum
- Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Hospital Essen, University of Duisburg-Essen, 45147Duisberg, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen), 37075Göttingen, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn53127, Germany
| | - Davide Seripa
- Department of Hematology and Stem Cell Transplant, Laboratory for Advanced Hematological Diagnostics, Lecce73100, Italy
| | - Ingmar Skoog
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg405 30, Sweden
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg405 30, Sweden
| | - Vincenzo Solfrizzi
- Interdisciry Department of Medicine, Geriatric Medicine and Memory Unit, University of Bari “A. Moro, Bari70121, Italy
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome00179, Italy
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston77030, TX
| | - Alessio Squassina
- Department of Biomedical Sciences, University of Cagliari, Cagliari09124, Italy
| | - John van Swieten
- Department of Neurology, ErasmusMC, Rotterdam3000CA, Netherlands
| | - Raquel Sánchez-Valle
- Alzheimer's disease and other cognitive disorders unit, Service of Neurology, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona08036, Spain
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore308433, Singapore
- Duke-National University of Singapore Medical School, Singapore169857, Singapore
| | - Thomas Tegos
- 1st Department of Neurology, Medical school, Aristotle University of Thessaloniki, Thessaloniki541 24, Greece
| | - Charlotte Teunissen
- Neurochemistry Lab, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam1081 HV, Netherlands
| | - Jesper Qvist Thomassen
- Department of Clinical Biochemistry, Copenhagen University Hospital–Rigshospitalet, Copenhagen2100, Denmark
| | - Lucio Tremolizzo
- Neurology, "San Gerardo" hospital, Monza and University of Milano-Bicocca, Monza20900, Italy
| | - Martin Vyhnalek
- Department of Clinical Genetics, VU University Medical Centre, Amsterdam1081 HV, The Netherlands
- Department of Neurology, Memory Clinic, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Prague150 06, Czech Republic
| | - Frans Verhey
- Department of Psychiatry and Neuropsychologie, Alzheimer Center Limburg, Maastricht University, Maastricht6229 GS, Netherlands
| | - Margda Waern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg431 41, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Clinic, Gothenburg413 45, Sweden
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen37075, Germany
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen), Goettingen37075, Germany
- Department of Medical Sciences, Neurosciences and Signaling Group, Institute of Biomedicine, University of Aveiro, Aveiro3810-193, Portugal
| | - Jing Zhang
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | | | | | | | | | | | | | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal431 41, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, MölndalSE-43180, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, LondonWC1E 6BT, United Kingdom
- UK Dementia Research Institute at UCL, LondonWC1E 6BT, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal431 41, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, MölndalSE-43180, Sweden
| | - Zihuai He
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
| | - Julie Williams
- UKDRI@Cardiff, School of Medicine, Cardiff University, WalesCF14 4YS, United Kingdom
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff WalesCF14 4XN, United Kingdom
| | - Philippe Amouyel
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen), 37075Göttingen, Germany
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne50937, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases, University of Cologne, Cologne50931, Germany
| | - Patrick G. Kehoe
- Translational Health Sciences, Bristol Medical School, University of Bristol, BristolBS8 1QU, United Kingdom
| | - Ole A. Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo0450, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Cornelia Van Duin
- Department of Epidemiology, ErasmusMC, Rotterdam3000 CA, The Netherlands
- Nuffield Department of Population Health Oxford University, OxfordOX3 7LF, United Kingdom
| | - Magda Tsolaki
- 1st Department of Neurology, Medical school, Aristotle University of Thessaloniki, Thessaloniki541 24, Greece
| | - Pascual Sánchez-Juan
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Alzheimer’s Centre Reina Sofia-CIEN Foundation, Madrid, Spain
| | - Ruth Frikke-Schmidt
- Department of Clinical Medicine, University of Copenhagen, Copenhagen1172, Denmark
- Department of Clinical Biochemistry, Copenhagen University Hospital–Rigshospitalet, Copenhagen2100, Denmark
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp2610, Belgium
- Laboratory of Neurogenetics, Institute Born–Bunge, Antwerp2610, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp2000, Belgium
| | - Tatsushi Toda
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo192-0982, Japan
| | - Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg431 41, Sweden
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala751 22, Sweden
- Geriatrics, Uppsala University, Uppsala751 22, Sweden
- Krembil Brain Institute, University Health Network, TorontoM5G 2C4, Canada
- Department of Medicine and Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, TorontoM5S 1A8, Canada
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita565-0871, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita565-0871, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita565-0871, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita565-0871, Japan
| | - Giacomina Rossi
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan20133, Italy
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Joensuu, Kuopio, Eastern Finland80101, Finland
| | - Jungsoo Gim
- Department of Biomedical Science, Chosun University, Gwangju61452, Korea
- Department of Integrative Biological Sciences, Chosun University, Gwangju61452, Republic of Korea
- Gwangju Alzheimer's and Related Dementias Cohort Research Center, Chosun University, Gwangju61452, Republic of Korea
| | - Kouichi Ozaki
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu474-8511, Japan
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, WalesCF14 4YS, United Kingdom
| | - Jia Nee Foo
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore308232, Singapore
- Laboratory of Neurogenetics, Genome Institute of Singapore, A*STAR, Singapore138672, Singapore
| | - Wiesje van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata950-218, Japan
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne50937, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn53127, Germany
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen), 37075Göttingen, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases, University of Cologne, Cologne50931, Germany
- Department of Psychiatry and Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio78229, TX
| | - Ignacio Mata
- Genomic Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland44196, OH
| | - Agustín Ruiz
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
| | - Ziv Gan-Or
- The Neuro (Montreal Neurological Institute-Hospital), Montreal, QuebecH3A 2B4, Canada
- Department of Human Genetics, McGill University, Montreal, QuebecH3A 0G4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QuebecH3A 0G4, Canada
| | - Jean-Charles Lambert
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Michael D. Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
| | - Emmanuel Mignot
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
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21
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Sordo L, Qian T, Bukhari SA, Nguyen KM, Woodworth DC, Head E, Kawas CH, Corrada MM, Montine TJ, Sajjadi SA. Characterization of hippocampal sclerosis of aging and its association with other neuropathologic changes and cognitive deficits in the oldest-old. Acta Neuropathol 2023; 146:415-432. [PMID: 37382680 PMCID: PMC10412485 DOI: 10.1007/s00401-023-02606-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/16/2023] [Accepted: 06/18/2023] [Indexed: 06/30/2023]
Abstract
Hippocampal sclerosis of aging (HS-A) is a common age-related neuropathological lesion characterized by neuronal loss and astrogliosis in subiculum and CA1 subfield of hippocampus. HS-A is associated with cognitive decline that mimics Alzheimer's disease. Pathological diagnosis of HS-A is traditionally binary based on presence/absence of the lesion. We compared this traditional measure against our novel quantitative measure for studying the relationship between HS-A and other neuropathologies and cognitive impairment. We included 409 participants from The 90+ study with neuropathological examination and longitudinal neuropsychological assessments. In those with HS-A, we examined digitized H&E and LFB stained hippocampal slides. The length of HS-A in each subfield of hippocampus and subiculum, each further divided into three subregions, was measured using Aperio eSlide Manager. For each subregion, the proportion affected by HS-A was calculated. Using regression models, both traditional/binary and quantitative measures were used to study the relationship between HS-A and other neuropathological changes and cognitive outcomes. HS-A was present in 48 (12%) of participants and was always focal, primarily affecting CA1 (73%), followed by subiculum (9%); overlapping pathology (subiculum and CA1) affected 18% of individuals. HS-A was more common in the left (82%) than the right (25%) hemisphere and was bilateral in 7% of participants. HS-A traditional/binary assessment was associated with limbic-predominant age-related TDP-43 encephalopathy (LATE-NC; OR = 3.45, p < 0.001) and aging-related tau astrogliopathy (ARTAG; OR = 2.72, p = 0.008). In contrast, our quantitative approach showed associations between the proportion of HS-A (CA1/subiculum/combined) and LATE-NC (p = 0.001) and arteriolosclerosis (p = 0.005). While traditional binary assessment of HS-A was associated with impaired memory (OR = 2.60, p = 0.007), calculations (OR = 2.16, p = 0.027), and orientation (OR = 3.56, p < 0.001), our quantitative approach revealed additional associations with impairments in language (OR = 1.33, p = 0.018) and visuospatial domains (OR = 1.37, p = 0.006). Our novel quantitative method revealed associations between HS-A and vascular pathologies and impairment in cognitive domains that were not detected using traditional/binary measures.
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Affiliation(s)
- Lorena Sordo
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA
| | - Tianchen Qian
- Department of Statistics, University of California, Irvine, CA, USA
| | - Syed A Bukhari
- Department of Pathology, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Katelynn M Nguyen
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Davis C Woodworth
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Elizabeth Head
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA
| | - Claudia H Kawas
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| | - María M Corrada
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA
| | - Thomas J Montine
- Department of Pathology, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - S Ahmad Sajjadi
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA.
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA.
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22
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Nag S, Schneider JA. Limbic-predominant age-related TDP43 encephalopathy (LATE) neuropathological change in neurodegenerative diseases. Nat Rev Neurol 2023; 19:525-541. [PMID: 37563264 PMCID: PMC10964248 DOI: 10.1038/s41582-023-00846-7] [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] [Accepted: 06/26/2023] [Indexed: 08/12/2023]
Abstract
TAR DNA-binding protein 43 (TDP43) is a focus of research in late-onset dementias. TDP43 pathology in the brain was initially identified in amyotrophic lateral sclerosis and frontotemporal lobar degeneration, and later in Alzheimer disease (AD), other neurodegenerative diseases and ageing. Limbic-predominant age-related TDP43 encephalopathy (LATE), recognized as a clinical entity in 2019, is characterized by amnestic dementia resembling AD dementia and occurring most commonly in adults over 80 years of age. Neuropathological findings in LATE, referred to as LATE neuropathological change (LATE-NC), consist of neuronal and glial cytoplasmic TDP43 localized predominantly in limbic areas with or without coexisting hippocampal sclerosis and/or AD neuropathological change and without frontotemporal lobar degeneration or amyotrophic lateral sclerosis pathology. LATE-NC is frequently associated with one or more coexisting pathologies, mainly AD neuropathological change. The focus of this Review is the pathology, genetic risk factors and nature of the cognitive impairments and dementia in pure LATE-NC and in LATE-NC associated with coexisting pathologies. As the clinical and cognitive profile of LATE is currently not easily distinguishable from AD dementia, it is important to develop biomarkers to aid in the diagnosis of this condition in the clinic. The pathogenesis of LATE-NC should be a focus of future research to form the basis for the development of preventive and therapeutic strategies.
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Affiliation(s)
- Sukriti Nag
- Rush Alzheimer's Disease Center, Department of Pathology (Neuropathology), Rush University Medical Center, Chicago, IL, USA.
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Department of Pathology (Neuropathology), Rush University Medical Center, Chicago, IL, USA.
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23
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Shinohara M, Gheni G, Hitomi J, Bu G, Sato N. APOE genotypes modify the obesity paradox in dementia. J Neurol Neurosurg Psychiatry 2023; 94:670-680. [PMID: 37414536 PMCID: PMC10695687 DOI: 10.1136/jnnp-2022-331034] [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: 01/04/2023] [Accepted: 06/05/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND While obesity in midlife is a risk factor for dementia, several studies suggested that obesity also protected against dementia, hence so-called obesity paradox. The current study aims to address the relationship between apolipoprotein E (APOE) genotype and obesity in dementia. METHODS Clinical and neuropathological records of the National Alzheimer's Coordinating Center (NACC) in the USA, which longitudinally followed approximately 20 000 subjects with different cognitive statues, APOE genotype and obesity states, were reviewed. RESULTS Obesity was associated with cognitive decline in early elderly cognitively normal individuals without APOE4, especially those with APOE2. Neuropathological analyses adjusted for dementia status showed that APOE2 carriers tended to have more microinfarcts and haemorrhages due to obesity. On the other hand, obesity was associated with a lower frequency of dementia and less cognitive impairment in individuals with mild cognitive impairment or dementia. Such trends were particularly strong in APOE4 carriers. Obesity was associated with fewer Alzheimer's pathologies in individuals with dementia. CONCLUSIONS Obesity may accelerate cognitive decline in middle to early elderly cognitive normal individuals without APOE4 likely by provoking vascular impairments. On the other hand, obesity may ease cognitive impairment in both individuals with dementia and individuals at the predementia stage, especially those with APOE4, through protecting against Alzheimer's pathologies. These results support that APOE genotype modifies the obesity paradox in dementia.
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Affiliation(s)
- Mitsuru Shinohara
- Department of Aging Neurobiology, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Department of Aging Neurobiology, Osaka University, Suita, Osaka, Japan
| | - Ghupurjan Gheni
- Department of Aging Neurobiology, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Junichi Hitomi
- Department of Aging Neurobiology, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Guojun Bu
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Naoyuki Sato
- Department of Aging Neurobiology, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
- Department of Aging Neurobiology, Osaka University, Suita, Osaka, Japan
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24
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Sepulveda-Falla D, Lanau CAV, White C, Serrano GE, Acosta-Uribe J, Mejía-Cupajita B, Villalba-Moreno ND, Lu P, Glatzel M, Kofler JK, Ghetti B, Frosch MP, Restrepo FL, Kosik KS, Beach TG. Comorbidities in Early-Onset Sporadic versus Presenilin-1 Mutation-Associated Alzheimer's Disease Dementia: Evidence for Dependency on Alzheimer's Disease Neuropathological Changes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.14.23294081. [PMID: 37646002 PMCID: PMC10462216 DOI: 10.1101/2023.08.14.23294081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Autopsy studies have demonstrated that comorbid neurodegenerative and cerebrovascular disease occur in the great majority of subjects with Alzheimer disease dementia (ADD), and are likely to additively alter the rate of decline or severity of cognitive impairment. The most important of these are Lewy body disease (LBD), TDP-43 proteinopathy and cerebrovascular disease, including white matter rarefaction (WMR) and cerebral infarcts. Comorbidities may interfere with ADD therapeutic trials evaluation of ADD clinical trials as they may not respond to AD-specific molecular therapeutics. It is possible, however, that at least some comorbidities may be, to some degree, secondary consequences of AD pathology, and if this were true then effective AD-specific therapeutics might also reduce the extent or severity of comorbid pathology. Comorbidities in ADD caused by autosomal dominant mutations such as those in the presenilin-1 (PSEN1) gene may provide an advantageous perspective on their pathogenesis, and deserve attention because these subjects are increasingly being entered into clinical trials. As ADD associated with PSEN1 mutations has a presumed single-cause etiology, and the average age at death is under 60, any comorbidities in this setting may be considered as at least partially secondary to the causative AD mechanisms rather than aging, and thus indicate whether effective ADD therapeutics may also be effective for comorbidities. In this study, we sought to compare the rates and types of ADD comorbidities between subjects with early-onset sporadic ADD (EOSADD; subjects dying under age 60) versus ADD associated with different types of PSEN1 mutations, the most common cause of early-onset autosomal dominant ADD. In particular, we were able to ascertain, for the first time, the prevalences of a fairly complete set of ADD comorbidities in United States (US) PSEN1 cases as well as the Colombian E280A PSEN1 kindred. Data for EOSADD and US PSEN1 subjects (with multiple different mutation types) was obtained from the National Alzheimer Coordinating Center (NACC). Colombian cases all had the E280A mutation and had a set of neuropathological observations classified, like the US cases according to the NACC NP10 definitions. Confirmatory of earlier reports, NACC-defined Alzheimer Disease Neuropathological Changes (ADNC) were consistently very severe in early-onset cases, whether sporadic or in PSEN1 cases, but were slightly less severe in EOSADD. Amyloid angiopathy was the only AD-associated pathology type with widely-differing severity scores between the 3 groups, with median scores of 3, 2 and 1 in the PSEN1 Colombia, PSEN1 US and EOSADD cases, respectively. Apoliprotein E genotype did not show significant proportional group differences for the possession of an E-4 or E-2 allele. Of ADD comorbidities, LBD was most common, being present in more than half of all cases in all 3 groups. For TDP-43 co-pathology, the Colombian PSEN1 group was the most affected, at about 27%, vs 16% and 11% for the US PSEN1 and sporadic US cases, respectively. Notably, hippocampal sclerosis and non-AD tau pathological conditions were not present in any of the US or Colombian PSEN1 cases, and was seen in only 3% of the EOSADD cases. Significant large-vessel atherosclerosis was present in a much larger percentage of Colombian PSEN1 cases, at almost 20% as compared to 0% and 3% of the US PSEN1 and EOSADD cases, respectively. Small-vessel disease, or arteriolosclerosis, was much more common than large vessel disease, being present in all groups between 18% and 37%. Gross and microscopic infarcts, however, as well as gross or microscopic hemorrhages, were generally absent or present at very low percentages in all groups. White matter rarefaction (WMR) was remarkably common, at almost 60%, in the US PSEN1 group, as compared to about 18% in the EOSADD cases, a significant difference. White matter rarefaction was not assessed in the Colombian PSEN1 cases. The results presented here, as well as other evidence, indicates that LBD, TDP-43 pathology and WMR, as common comorbidities with autosomal dominant and early-onset sporadic ADD, should be considered when planning clinical trials with such subjects as they may increase variability in response rates. However, they may be at least partially dependent on ADNC and thus potentially addressable by anti-amyloid or and/anti-tau therapies.
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Affiliation(s)
- Diego Sepulveda-Falla
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistraße 52 20246 Hamburg, Gebäude Nord 27 / Raum 02.005
| | | | - Charles White
- Neuropathology Section, Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Geidy E Serrano
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, 10515 W Santa Fe Drive, Sun City, AZ 85351
| | - Juliana Acosta-Uribe
- Faculty of Medicine, Neuroscience Group of Antioquia, University of Antioquia, Medellin, Colombia
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California Santa Barbara
| | - Barbara Mejía-Cupajita
- Faculty of Medicine, Neuroscience Group of Antioquia, University of Antioquia, Medellin, Colombia
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California Santa Barbara
| | - Nelson David Villalba-Moreno
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistraße 52 20246 Hamburg, Gebäude Nord 27 / Raum 02.005
| | - Pinzhang Lu
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistraße 52 20246 Hamburg, Gebäude Nord 27 / Raum 02.005
| | - Markus Glatzel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistraße 52 20246 Hamburg, Gebäude Nord 27 / Raum 02.005
| | - Julia K Kofler
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA
| | - Bernardino Ghetti
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN
| | - Matthew P Frosch
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | | | - Kenneth S Kosik
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California Santa Barbara
| | - Thomas G Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, 10515 W Santa Fe Drive, Sun City, AZ 85351
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25
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Chemparathy A, Guen YL, Chen S, Lee EG, Leong L, Gorzynski J, Xu G, Belloy M, Kasireddy N, Tauber AP, Williams K, Stewart I, Wingo T, Lah J, Jayadev S, Hales C, Peskind E, Child DD, Keene CD, Cong L, Ashley E, Yu CE, Greicius MD. APOE loss-of-function variants: Compatible with longevity and associated with resistance to Alzheimer's Disease pathology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.20.23292771. [PMID: 37547016 PMCID: PMC10402217 DOI: 10.1101/2023.07.20.23292771] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
The ε4 allele of apolipoprotein E (APOE) is the strongest genetic risk factor for sporadic Alzheimer's Disease (AD). Knockdown of this allele may provide a therapeutic strategy for AD, but the effect of APOE loss-of-function (LoF) on AD pathogenesis is unknown. We searched for APOE LoF variants in a large cohort of older controls and patients with AD and identified six heterozygote carriers of APOE LoF variants. Five carriers were controls (ages 71-90) and one was an AD case with an unremarkable age-at-onset between 75-79. Two APOE ε3/ε4 controls (Subjects 1 and 2) carried a stop-gain affecting the ε4 allele. Subject 1 was cognitively normal at 90+ and had no neuritic plaques at autopsy. Subject 2 was cognitively healthy within the age range 75-79 and underwent lumbar puncture at between ages 75-79 with normal levels of amyloid. The results provide the strongest human genetics evidence yet available suggesting that ε4 drives AD risk through a gain of abnormal function and support knockdown of APOE ε4 or its protein product as a viable therapeutic option.
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Affiliation(s)
- Augustine Chemparathy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Sunny Chen
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA
| | - Eun-Gyung Lee
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA
| | - Lesley Leong
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA
| | - John Gorzynski
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Guangxue Xu
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Michael Belloy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Andrés Peña Tauber
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Kennedy Williams
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Ilaria Stewart
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Thomas Wingo
- Emory University School of Medicine, Atlanta, GA
- Goizueta Alzheimer’s Disease Center, Emory University School of Medicine, Atlanta, GA
| | - James Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA
| | - Chad Hales
- Emory University School of Medicine, Atlanta, GA
- Goizueta Alzheimer’s Disease Center, Emory University School of Medicine, Atlanta, GA
| | - Elaine Peskind
- Veterans Affairs Northwest Network Mental Illness Research, Education, and Clinical Center, Veteran Affairs Puget Sound Health Care System, Seattle, WA
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Daniel D Child
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA
| | - Le Cong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Euan Ashley
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
- Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Chang-En Yu
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA
- Department of Medicine, University of Washington, Seattle, WA
| | - Michael D. Greicius
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
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26
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Li Z, Liang D, Ebelt S, Gearing M, Kobor MS, Konwar C, Maclsaac JL, Dever K, Wingo A, Levey A, Lah JJ, Wingo T, Huels A. Differential DNA Methylation in the Brain as Potential Mediator of the Association between Traffic-related PM 2.5 and Neuropathology Markers of Alzheimer's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.30.23292085. [PMID: 37425713 PMCID: PMC10327281 DOI: 10.1101/2023.06.30.23292085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
INTRODUCTION Growing evidence indicates fine particulate matter (PM2.5) as risk factor for Alzheimer's' disease (AD), but the underlying mechanisms have been insufficiently investigated. We hypothesized differential DNA methylation (DNAm) in brain tissue as potential mediator of this association. METHODS We assessed genome-wide DNAm (Illumina EPIC BeadChips) in prefrontal cortex tissue and three AD-related neuropathological markers (Braak stage, CERAD, ABC score) for 159 donors, and estimated donors' residential traffic-related PM2.5 exposure 1, 3 and 5 years prior to death. We used a combination of the Meet-in-the-Middle approach, high-dimensional mediation analysis, and causal mediation analysis to identify potential mediating CpGs. RESULTS PM2.5 was significantly associated with differential DNAm at cg25433380 and cg10495669. Twenty-six CpG sites were identified as mediators of the association between PM2.5 exposure and neuropathology markers, several located in genes related to neuroinflammation. DISCUSSION Our findings suggest differential DNAm related to neuroinflammation mediates the association between traffic-related PM2.5 and AD.
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Affiliation(s)
- Zhenjiang Li
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
| | - Stefanie Ebelt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
| | - Marla Gearing
- Department of Pathology and Laboratory Medicine, Emory University, 1364 Clifton Rd, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA 30322, USA
| | - Michael S. Kobor
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, 938 W 28th Ave, Vancouver, BC V5Z 4H4, Canada
- Centre for Molecular Medicine and Therapeutics, 950 W 28th Ave, Vancouver, BC V6H 0B3, Canada
| | - Chaini Konwar
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, 938 W 28th Ave, Vancouver, BC V5Z 4H4, Canada
| | - Julie L Maclsaac
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, 938 W 28th Ave, Vancouver, BC V5Z 4H4, Canada
- Centre for Molecular Medicine and Therapeutics, 950 W 28th Ave, Vancouver, BC V6H 0B3, Canada
| | - Kristy Dever
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, 938 W 28th Ave, Vancouver, BC V5Z 4H4, Canada
- Centre for Molecular Medicine and Therapeutics, 950 W 28th Ave, Vancouver, BC V6H 0B3, Canada
| | - Aliza Wingo
- Division of Mental Health, Atlanta VA Medical Center, 1670 Clairmont Rd, Decatur, GA 30033, USA
- Department of Psychiatry, Emory University School of Medicine, 12 Executive Park Dr NE #200, Atlanta, GA 30329, USA
| | - Allan Levey
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA 30322, USA
| | - James J. Lah
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA 30322, USA
| | - Thomas Wingo
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA 30322, USA
- Department of Human Genetics, Emory University, 615 Michael Street Suite 301, Atlanta, GA 30322, USA
| | - Anke Huels
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
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Scalco R, Saito N, Beckett L, Nguyen ML, Huie E, Wang HP, Flaherty DA, Honig LS, DeCarli C, Rissman RA, Teich AF, Jin LW, Dugger BN. The neuropathological landscape of Hispanic and non-Hispanic White decedents with Alzheimer disease. Acta Neuropathol Commun 2023; 11:105. [PMID: 37386610 PMCID: PMC10311731 DOI: 10.1186/s40478-023-01574-1] [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: 03/14/2023] [Accepted: 04/30/2023] [Indexed: 07/01/2023] Open
Abstract
Despite the increasing demographic diversity of the United States' aging population, there remain significant gaps in post-mortem research investigating the ethnoracial heterogeneity in the neuropathological landscape of Alzheimer Disease (AD). Most autopsy-based studies have focused on cohorts of non-Hispanic White decedents (NHWD), with few studies including Hispanic decedents (HD). We aimed to characterize the neuropathologic landscape of AD in NHWD (n = 185) and HD (n = 92) evaluated in research programs across three institutions: University of California San Diego, University of California Davis, and Columbia University. Only persons with a neuropathologic diagnosis of intermediate/high AD determined by NIA Reagan and/or NIA-AA criteria were included. A frequency-balanced random sample without replacement was drawn from the NHWD group using a 2:1 age and sex matching scheme with HD. Four brain areas were evaluated: posterior hippocampus, frontal, temporal, and parietal cortices. Sections were stained with antibodies against Aβ (4G8) and phosphorylated tau (AT8). We compared the distribution and semi-quantitative densities for neurofibrillary tangles (NFTs), neuropil threads, core, diffuse, and neuritic plaques. All evaluations were conducted by an expert blinded to demographics and group status. Wilcoxon's two-sample test revealed higher levels of neuritic plaques in the frontal cortex (p = 0.02) and neuropil threads (p = 0.02) in HD, and higher levels of cored plaques in the temporal cortex in NHWD (p = 0.02). Results from ordinal logistic regression controlling for age, sex, and site of origin were similar. In other evaluated brain regions, semi-quantitative scores of plaques, tangles, and threads did not differ statistically between groups. Our results demonstrate HD may be disproportionately burdened by AD-related pathologies in select anatomic regions, particularly tau deposits. Further research is warranted to understand the contributions of demographic, genetic, and environmental factors to heterogeneous pathological presentations.
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Affiliation(s)
- Rebeca Scalco
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California Davis, 4645 2Nd Ave, 3400A Research Building III, Sacramento, CA, 95817, USA
| | - Naomi Saito
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Laurel Beckett
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - My-Le Nguyen
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California Davis, 4645 2Nd Ave, 3400A Research Building III, Sacramento, CA, 95817, USA
| | - Emily Huie
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California Davis, 4645 2Nd Ave, 3400A Research Building III, Sacramento, CA, 95817, USA
| | - Hsin-Pei Wang
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California Davis, 4645 2Nd Ave, 3400A Research Building III, Sacramento, CA, 95817, USA
| | - Delaney A Flaherty
- Taub Institute for Research On Alzheimer's Disease and Aging Brain, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Lawrence S Honig
- Taub Institute for Research On Alzheimer's Disease and Aging Brain, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Charles DeCarli
- Alzheimer's Disease Research Center, Department of Neurology, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Robert A Rissman
- Department of Neurosciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Andrew F Teich
- Taub Institute for Research On Alzheimer's Disease and Aging Brain, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
- Taub Institute for Research On Alzheimer's Disease and Aging Brain, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Lee-Way Jin
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California Davis, 4645 2Nd Ave, 3400A Research Building III, Sacramento, CA, 95817, USA
| | - Brittany N Dugger
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California Davis, 4645 2Nd Ave, 3400A Research Building III, Sacramento, CA, 95817, USA.
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Nelson RS, Abner EL, Jicha GA, Schmitt FA, Di J, Wilcock DM, Barber JM, Van Eldik LJ, Katsumata Y, Fardo DW, Nelson PT. Neurodegenerative pathologies associated with behavioral and psychological symptoms of dementia in a community-based autopsy cohort. Acta Neuropathol Commun 2023; 11:89. [PMID: 37269007 PMCID: PMC10236713 DOI: 10.1186/s40478-023-01576-z] [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: 04/25/2023] [Accepted: 04/30/2023] [Indexed: 06/04/2023] Open
Abstract
In addition to the memory disorders and global cognitive impairment that accompany neurodegenerative diseases, behavioral and psychological symptoms of dementia (BPSD) commonly impair quality of life and complicate clinical management. To investigate clinical-pathological correlations of BPSD, we analyzed data from autopsied participants from the community-based University of Kentucky Alzheimer's Disease Research Center longitudinal cohort (n = 368 research volunteers met inclusion criteria, average age at death 85.4 years). Data assessing BPSD were obtained approximately annually, including parameters for agitation, anxiety, apathy, appetite problems, delusions, depression, disinhibition, hallucinations, motor disturbance, and irritability. Each BPSD was scored on a severity scale (0-3) via the Neuropsychiatric Inventory Questionnaire (NPI-Q). Further, Clinical Dementia Rating (CDR)-Global and -Language evaluations (also scored on 0-3 scales) were used to indicate the degree of global cognitive and language impairment. The NPI-Q and CDR ratings were correlated with neuropathology findings at autopsy: Alzheimer's disease neuropathological changes (ADNC), neocortical and amygdala-only Lewy bodies (LBs), limbic predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC), primary age-related tauopathy (PART), hippocampal sclerosis, and cerebrovascular pathologies. Combinations of pathologies included the quadruple misfolding proteinopathy (QMP) phenotype with co-occurring ADNC, neocortical LBs, and LATE-NC. Statistical models were used to estimate the associations between BPSD subtypes and pathologic patterns. Individuals with severe ADNC (particularly those with Braak NFT stage VI) had more BPSD, and the QMP phenotype was associated with the highest mean number of BPSD symptoms: > 8 different BPSD subtypes per individual. Disinhibition and language problems were common in persons with severe ADNC but were not specific to any pathology. "Pure" LATE-NC was associated with global cognitive impairment, apathy, and motor disturbance, but again, these were not specific associations. In summary, Braak NFT stage VI ADNC was strongly associated with BPSD, but no tested BPSD subtype was a robust indicator of any particular "pure" or mixed pathological combination.
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Affiliation(s)
| | - Erin L Abner
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Epidemiology and Environmental Health, University of Kentucky, Lexington, KY, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Jing Di
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, USA
| | - Donna M Wilcock
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Physiology, University of Kentucky, Lexington, KY, USA
| | - Justin M Barber
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, USA.
- University of Kentucky, Rm 575 Todd Building, Lexington, KY, 40536, USA.
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Nagaraja N, DeKosky S, Duara R, Kong L, Wang WE, Vaillancourt D, Albayram M. Imaging features of small vessel disease in cerebral amyloid angiopathy among patients with Alzheimer's disease. Neuroimage Clin 2023; 38:103437. [PMID: 37245492 PMCID: PMC10236212 DOI: 10.1016/j.nicl.2023.103437] [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: 09/06/2022] [Revised: 05/07/2023] [Accepted: 05/14/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND AND PURPOSE Cerebral small vessel disease biomarkers including white matter hyperintensities (WMH), lacunes, and enlarged perivascular spaces (ePVS) are under investigation to identify those specific to cerebral amyloid angiopathy (CAA). In subjects with Alzheimer's disease (AD), we assessed characteristic features and amounts of WMH, lacunes, and ePVS in four CAA categories (no, mild, moderate and severe CAA) and correlated these with Clinical Dementia Rating sum of boxes (CDRsb) score, ApoE genotype, and neuropathological changes at autopsy. METHODS The study included patients with a clinical diagnosis of dementia due to AD and neuropathological confirmation of AD and CAA in the National Alzheimer's Coordinating Center (NACC) database. The WMH, lacunes, and ePVS were evaluated using semi-quantitative scales. Statistical analyses compared the WMH, lacunes, and ePVS values in the four CAA groups with vascular risk factors and AD severity treated as covariates, and to correlate the imaging features with CDRsb score, ApoE genotype, and neuropathological findings. RESULTS The study consisted of 232 patients, of which 222 patients had FLAIR data available and 105 patients had T2-MRI. Occipital predominant WMH were significantly associated with the presence of CAA (p = 0.007). Among the CAA groups, occipital predominant WMH was associated with severe CAA (β = 1.22, p = 0.0001) compared with no CAA. Occipital predominant WMH were not associated with the CDRsb score performed at baseline (p = 0.68) or at follow-up 2-4 years after the MRI (p = 0.92). There was no significant difference in high grade ePVS in the basal ganglia (p = 0.63) and centrum semiovale (p = 0.95) among the four CAA groups. The WMH and ePVS on imaging did not correlate with the number of ApoE ε4 alleles but the WMH (periventricular and deep) correlated with the presence of infarcts, lacunes and microinfarcts on neuropathology. CONCLUSION Among patients with AD, occipital predominant WMH is more likely to be found in patients with severe CAA than in those without CAA. The high-grade ePVS in centrum semiovale were common in all AD patients regardless of CAA severity.
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Affiliation(s)
- Nandakumar Nagaraja
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA.
| | - Steven DeKosky
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA; McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Ranjan Duara
- Department of Neurology, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - Lan Kong
- Department of Public Health Sciences, Penn State University College of Medicine, Hershey, PA, USA
| | - Wei-En Wang
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - David Vaillancourt
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA; Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Mehmet Albayram
- Department of Radiology, College of Medicine, University of Florida, Gainesville, FL, USA
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Butler Pagnotti RM, Pudumjee SB, Cross CL, Miller JB. Cognitive and Clinical Characteristics of Patients With Limbic-Predominant Age-Related TDP-43 Encephalopathy. Neurology 2023; 100:e2027-e2035. [PMID: 36941071 PMCID: PMC10186224 DOI: 10.1212/wnl.0000000000207159] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 01/20/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Limbic-predominant age-related TDP-43 encephalopathy (LATE) affects similar neuroanatomical networks as Alzheimer disease (AD) and is often comorbid with AD, though frequently missed in clinical diagnosis. The primary aim of this study was to elucidate the clinical and cognitive differences at baseline between patients with autopsy-confirmed LATE and patients with AD and comorbid LATE + AD. METHODS Clinical and neuropathologic datasets were requested from the National Alzheimer Coordination Center. Baseline data from individuals older than 75 years during death without neuropathologic indication of frontotemporal lobar degeneration were included in analyses. Pathologically defined groups reflecting LATE, AD, and comorbid LATE + AD were identified. Group differences in clinical characteristics and cognition were explored through analysis of variance and the χ2 using measures from the Uniform Data Set measures. RESULTS Pathology groups included 31 individuals with LATE (mean age: 80.6 ± 5.4 years), 393 with AD (mean age: 77.8 ± 6.4 years), and 262 with LATE + AD (mean age: 77.8 ± 6.6 years) without significant differences in sex, education, or race. Compared with participants with AD and LATE + AD pathology, participants with LATE pathology lived significantly longer (mean visits: LATE = 7.3 ± 3.7; AD = 5.8 ± 3.0; and LATE + AD = 5.8 ± 3.0; F(2,683) = 3.7, p < 0.05), reported later onset of cognitive decline (mean onset: LATE = 78.8 ± 5.7; AD = 72.5 ± 7.0; and LATE + AD = 72.9 ± 7.0; F(2,516) = 6.2, p < 0.01), and were more likely to be diagnosed as cognitively normal at baseline (LATE = 41.9%; AD = 25.4%; and LATE + AD = 12%; χ2 = 38.7, p < 0.001). Individuals with LATE (45.2%) also reported fewer memory complaints than those with AD (74.4%) or LATE + AD (66.4%; χ2 = 13.3, p = 0.001) and were less likely to be classified as impaired on the Mini-Mental State Examination (LATE = 6.5%; AD = 24.2%; and LATE + AD = 40.1%; χ2 = 29.20, p < 0.001). Across all neuropsychological measures, participants with LATE + AD pathology performed significantly worse than the AD and LATE groups. DISCUSSION Those with LATE pathology were older when cognitive symptoms began and lived longer than participants with AD or LATE + AD pathology. Participants with LATE pathology were also more likely to be classified as "cognitively normal" based on objective screening and self-report measures, and they had higher scores on neuropsychological testing. Consistent with prior literature, comorbid pathologies led to more significant cognitive and functional impairment. Early disease characteristics based on clinical presentation alone were insufficient for differentiating LATE from AD, reiterating the need for a validated biomarker.
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Affiliation(s)
- Rachel M Butler Pagnotti
- From the Cleveland Clinic Lou Ruvo Center for Brain Health (R.M.B.P., S.B.P., J.B.M.), Las Vegas; and Department of Epidemiology & Biostatistics (C.L.C.), School of Public Health, University of Nevada, Las Vegas
| | - Shehroo B Pudumjee
- From the Cleveland Clinic Lou Ruvo Center for Brain Health (R.M.B.P., S.B.P., J.B.M.), Las Vegas; and Department of Epidemiology & Biostatistics (C.L.C.), School of Public Health, University of Nevada, Las Vegas
| | - Chad L Cross
- From the Cleveland Clinic Lou Ruvo Center for Brain Health (R.M.B.P., S.B.P., J.B.M.), Las Vegas; and Department of Epidemiology & Biostatistics (C.L.C.), School of Public Health, University of Nevada, Las Vegas
| | - Justin B Miller
- From the Cleveland Clinic Lou Ruvo Center for Brain Health (R.M.B.P., S.B.P., J.B.M.), Las Vegas; and Department of Epidemiology & Biostatistics (C.L.C.), School of Public Health, University of Nevada, Las Vegas.
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31
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Teipel S, Grothe MJ. MRI-based basal forebrain atrophy and volumetric signatures associated with limbic TDP-43 compared to Alzheimer's disease pathology. Neurobiol Dis 2023; 180:106070. [PMID: 36898615 DOI: 10.1016/j.nbd.2023.106070] [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: 01/04/2023] [Revised: 02/23/2023] [Accepted: 03/05/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND It is not clear to which degree limbic TDP-43 pathology associates with a cholinergic deficit in the absence of Alzheimer's disease (AD) pathology. OBJECTIVE Replicate and extend recent evidence on cholinergic basal forebrain atrophy in limbic TDP-43 and evaluate MRI based patterns of atrophy as a surrogate marker for TDP-43. METHODS We studied ante-mortem MRI data of 11 autopsy cases with limbic TDP-43 pathology, 47 cases with AD pathology, and 26 mixed AD/TDP-43 cases from the ADNI autopsy sample, and 17 TDP-43, 170 AD, and 58 mixed AD/TDP-43 cases from the NACC autopsy sample. Group differences in basal forebrain and other brain volumes of interest were assessed using Bayesian ANCOVA. We assessed the diagnostic utility of MRI based patterns of brain atrophy using voxel-based receiver operating characteristics and random forest analyses. RESULTS In the NACC sample, we found moderate evidence for the absence of a difference in basal forebrain volumes between AD, TDP-43, and mixed pathologies (Bayes factor(BF)10 = 0.324), and very strong evidence for lower hippocampus volume in TDP-43 and mixed cases compared with AD cases (BF10 = 156.1). The ratio of temporal to hippocampus volume reached an AUC of 75% for separating pure TDP-43 from pure AD cases. Random-forest analysis between TDP-43, AD, and mixed pathology reached only a multiclass AUC of 0.63 based on hippocampus, middle-inferior temporal gyrus, and amygdala volumes. Findings in the ADNI sample were consistent with these results. CONCLUSION A comparable degree of basal forebrain atrophy in pure TDP-43 cases compared to AD cases encourages studies on the effect of cholinergic treatment in amnestic dementia due to TDP-43. A distinct pattern of temporo-limbic brain atrophy may serve as a surrogate marker to enrich samples in clinical trials for the presence of TDP-43 pathology.
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Affiliation(s)
- Stefan Teipel
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock/Greifswald, Rostock, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany.
| | - Michel J Grothe
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
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32
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Scambray KA, Nguyen HL, Sajjadi SA. Association of vascular and degenerative brain pathologies and past medical history from the National Alzheimer's Coordinating Center Database. J Neuropathol Exp Neurol 2023; 82:390-401. [PMID: 36947583 PMCID: PMC10117154 DOI: 10.1093/jnen/nlad020] [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: 03/23/2023] Open
Abstract
The relationship between past medical histories (PMH) and dementia-related neuropathologies is not well understood. Using the National Alzheimer's Coordinating Center (NACC) database, we explored the relationship between patient-reported PMH and various vascular and degenerative neuropathologies. We examined the following PMH: transient ischemic attack (TIA), stroke, traumatic brain injury, seizures, hypertension, cardiovascular events, hypercholesterolemia, B12 deficiency, diabetes mellitus, and thyroid disease. We dichotomized the following neuropathologies: atherosclerosis, arteriolosclerosis, cerebral amyloid angiopathy (CAA), Alzheimer disease neuropathology (ADNP), Lewy bodies (LB), hippocampal sclerosis, frontotemporal lobar degeneration (FTLD), and TAR DNA-binding protein-43 (TDP-43). Separate logistic regression models assessed the relationship between the outcome of individual neuropathologies and all PMHs. Additional logistic regressions were stratified by sex to further examine these associations. Hypertension history was associated with an increased likelihood of atherosclerosis (OR = 1.7) and arteriolosclerosis (OR = 1.3), but decreased odds of ADNP (OR = 0.81), CAA (OR = 0.79), and LB (OR = 0.78). History of TIA was associated with an increased likelihood of atherosclerosis (OR = 1.3) and arteriolosclerosis (OR = 1.4) and lower odds of ADNP (OR = 0.72). Seizure history was associated with an increased likelihood of ADNP (OR = 1.9) and lower odds of FTLD (OR = 0.49). Hypertension history was associated with a greater likelihood of vascular pathologies yet a lower likelihood of ADNP and other neurodegenerative pathologies.
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Affiliation(s)
- Kiana A Scambray
- Department of Neurology, University of California, Irvine, Irvine, California, USA
| | - Hannah L Nguyen
- Department of Neurology, University of California, Irvine, Irvine, California, USA
| | - S Ahmad Sajjadi
- Department of Neurology, University of California, Irvine, Irvine, California, USA
- Department of Pathology, University of California, Irvine, Irvine, California, USA
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Christensen GM, Li Z, Liang D, Ebelt S, Gearing M, Levey AI, Lah JJ, Wingo AP, Wingo TS, Huels A. Fine particulate air pollution and neuropathology markers of Alzheimer's disease in donors with and without APOE ε4 alleles - results from an autopsy cohort. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.07.23288288. [PMID: 37066193 PMCID: PMC10104229 DOI: 10.1101/2023.04.07.23288288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Introduction Higher fine particulate matter (PM2.5) exposure has been found to be associated with Alzheimer's disease (AD). PM2.5 has been hypothesized to cause inflammation and oxidative stress in the brain, contributing to neuropathology. A major genetic risk factor of AD, the apolipoprotein E (APOE) gene, has also been hypothesized to modify the association between PM2.5 and AD. However, little prior research exisits to support these hypotheses. Therefore, this paper aims to investigate the association between traffic-related PM2.5 and AD hallmark pathology, including effect modification by APOE genotype, in an autopsy cohort. Methods Brain tissue donors enrolled in the Emory Goizueta Alzheimer's Disease Research Center (ADRC) who died before 2020 (n=224) were assessed for AD pathology including Braak Stage, Consortium to Establish a Registry for AD (CERAD) score, and the combined AD neuropathologic change (ABC score). Traffic-related PM2.5 concentrations were modeled for the metro-Atlanta area during 2002-2019 with a spatial resolution of 200-250m. One-, 3-, and 5-year average PM2.5 concentrations prior to death were matched to participants home address. We assessed the association between traffic-related PM2.5 and AD hallmark pathology, as well as effect modification by APOE genotype, using adjusted ordinal logistic regression models. Results Traffic-related PM2.5 was significantly associated with CERAD score for the 1-year exposure window (OR: 1.92; 95% CI: 1.12, 3.30), and the 3-year exposure window (OR: 1.87; 95%-CI: 1.01, 3.17). PM2.5 had harmful, but non-significant associations on Braak Stage and ABC score. The strongest associations between PM2.5 and neuropathology markers were among those without APOE ε4 alleles (e.g., for CERAD and 1-year exposure window, OR: 2.31; 95% CI: 1.36, 3.94), though interaction between PM2.5 and APOE genotype was not statistically significant. Conclusions Our study found traffic-related PM2.5 exposure was associated with CERAD score in an autopsy cohort, contributing to epidemiologic evidence that PM2.5 affects Aβ deposition in the brain. This association was particularly strong among donors without APOE ε4 alleles. Future studies should further investigate the biological mechanisms behind this assocation.
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Affiliation(s)
- Grace M Christensen
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Zhenjiang Li
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Donghai Liang
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Stefanie Ebelt
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Marla Gearing
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Allan I Levey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - James J Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Aliza P Wingo
- Division of Mental Health, Atlanta VA Medical Center, Decatur, GA, USA
- Department of Psychiatry, Emory University School of Medicine, Atlanta, GA, USA
| | - Thomas S Wingo
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Department of Human Genetics, Emory University, Atlanta, Georgia, USA
| | - Anke Huels
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Chandler J, Georgieva M, Desai U, Kirson N, Lane H, Cheung HC, Westermeyer B, Biglan K. Disease Progression and Longitudinal Clinical Outcomes of Lewy Body Dementia in the NACC Database. Neurol Ther 2023; 12:177-195. [PMID: 36378462 PMCID: PMC9837351 DOI: 10.1007/s40120-022-00417-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 10/24/2022] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION As the identification of Lewy body dementia (LBD) is often confirmed postmortem, there is a paucity of evidence on the progression of disease antemortem. This study aimed to comprehensively assess the course of LBD over time across cognitive, functional, and neuropsychiatric outcomes using real-world data. METHODS Adults with at least one visit to an Alzheimer's Disease Center with a diagnosis of mild cognitive impairment/dementia (index date), indication of LBD, and at least one follow-up visit were identified in the National Alzheimer's Coordinating Center database (September 2005-June 2020). Participant characteristics, medication use, comorbidities, and changes in outcomes were assessed over a 5-year follow-up period and stratified by disease severity based on the Clinical Dementia Rating (CDR®) Dementia Staging Instrument-Sum of Boxes (CDR-SB) score at index. RESULTS A total of 2052 participants with LBD (mean age at index 73.4 years) were included (mild, 219; moderate, 988; severe, 845). Mean annualized increase over 5 years was 0.9 points for CDR-Global Score, 5.6 points for CDR-SB, 10.4 points for the Functional Activities Questionnaire, and 2.0 points for the Neuropsychiatric Inventory-Questionnaire. Disease progression was greater among participants with moderate and severe LBD at index compared with those with mild LBD. CONCLUSION Participants with LBD experienced decline across all outcomes over time, and impairment increased with disease severity. Findings highlight the substantial clinical burden associated with LBD and the importance of earlier diagnosis and effective treatment. Further research is needed to understand the predictors of cognitive and functional decline in LBD which may help inform clinical trials.
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Affiliation(s)
| | - Mihaela Georgieva
- Analysis Group, Inc, 111 Huntington Avenue, Floor 14, Boston, MA, 02199, USA
| | - Urvi Desai
- Analysis Group, Inc, 111 Huntington Avenue, Floor 14, Boston, MA, 02199, USA.
| | - Noam Kirson
- Analysis Group, Inc, 111 Huntington Avenue, Floor 14, Boston, MA, 02199, USA
| | - Henry Lane
- Analysis Group, Inc, 111 Huntington Avenue, Floor 14, Boston, MA, 02199, USA
| | - Hoi Ching Cheung
- Analysis Group, Inc, 111 Huntington Avenue, Floor 14, Boston, MA, 02199, USA
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Zhang J, Song L, Chan K, Miller Z, Huang KL. Predictive Models and Features of Patient Mortality across Dementia Types. RESEARCH SQUARE 2023:rs.3.rs-2350961. [PMID: 36711767 PMCID: PMC9882612 DOI: 10.21203/rs.3.rs-2350961/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Dementia care is challenging due to the divergent trajectories in disease progression and outcomes. Predictive models are needed to identify patients at risk of near-term mortality. Here, we developed machine learning models predicting survival using a dataset of 45,275 unique participants and 163,782 visit records from the U.S. National Alzheimer's Coordinating Center (NACC). Our models achieved an AUC-ROC of over 0.82 utilizing nine parsimonious features for all one-, three-, five-, and ten-year thresholds. The trained models mainly consisted of dementia-related predictors such as specific neuropsychological tests and were minimally affected by other age-related causes of death, e.g., stroke and cardiovascular conditions. Notably, stratified analyses revealed shared and distinct predictors of mortality across eight dementia types. Unsupervised clustering of mortality predictors grouped vascular dementia with depression and Lewy body dementia with frontotemporal lobar dementia. This study demonstrates the feasibility of flagging dementia patients at risk of mortality for personalized clinical management.
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Affiliation(s)
| | - Luo Song
- School of Medicine, The University of Queensland
| | - Kwun Chan
- National Alzheimer's Coordinating Center, University of Washington
| | - Zachary Miller
- National Alzheimer's Coordinating Center, University of Washington
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Qian J, Zhang Y, Betensky RA, Hyman BT, Serrano-Pozo A. Neuropathology-Independent Association Between APOE Genotype and Cognitive Decline Rate in the Normal Aging-Early Alzheimer Continuum. Neurol Genet 2023; 9:e200055. [PMID: 36698453 PMCID: PMC9869750 DOI: 10.1212/nxg.0000000000200055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 11/16/2022] [Indexed: 01/22/2023]
Abstract
Background and Objectives We previously found that the APOE genotype affects the rate of cognitive decline in mild-to-moderate Alzheimer disease (AD) dementia independently of its effects on AD neuropathologic changes (ADNC) and copathologies. In this study, we tested the hypothesis that the APOE alleles differentially affect the rate of cognitive decline at the normal aging-early AD continuum and that this association is independent of their effects on classical ADNC and copathologies. Methods We analyzed APOE associations with the cognitive trajectories (Clinical Dementia Rating scale Sum of Boxes [CDR-SOB] and Mini-Mental State Examination [MMSE]) of more than 1,000 individuals from a national clinicopathologic sample who had either no, mild (sparse neuritic plaques and the Braak neurofibrillary tangle [NFT] stage I/II), or intermediate (moderate neuritic plaques and the Braak NFT stage III/IV) ADNC levels at autopsy via 2 latent classes reverse-time longitudinal modeling. Results Carrying the APOEε4 allele was associated with a faster rate of cognitive decline by both CDR-SOB and MMSE relative to APOEε3 homozygotes. This association remained statistically significant after adjusting for ADNC severity, comorbid pathologies, and the effects of ADNC on the slope of cognitive decline. Our modeling strategy identified 2 latent classes in which APOEε4 carriers declined faster than APOEε3 homozygotes, with latent class 1 members representing slow decliners (CDR-SOB: 76.7% of individuals, 0.195 vs 0.146 points/y in APOEε4 vs APOEε3/ε3; MMSE: 88.6% of individuals, -0.303 vs -0.153 points/y in APOEε4 vs APOEε3/ε3), whereas latent class 2 members were fast decliners (CDR-SOB: 23.3% of participants, 1.536 vs 1.487 points/y in APOEε4 vs APOEε3/ε3; MMSE: 11.4% of participants, -2.538 vs -2.387 points/y in APOEε4 vs APOEε3/ε3). Compared with slow decliners, fast decliners were more likely to carry the APOEε4 allele, younger at initial visit and death, more impaired at initial and last visits, and more likely to have intermediate (vs none or mild) ADNC levels, as well as concurrent Lewy bodies and hippocampal sclerosis at autopsy. Discussion In a large national sample selected to represent the normal aging-early AD continuum, the APOEε4 allele is associated with a modest but statistically significant acceleration of the cognitive decline rate even after controlling for its effects on ADNC and comorbid pathologies.
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Affiliation(s)
- Jing Qian
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
| | - Yiding Zhang
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
| | - Rebecca A Betensky
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
| | - Bradley T Hyman
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
| | - Alberto Serrano-Pozo
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
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Yang D, Masurkar AV, Khasiyev F, Rundek T, Wright CB, Elkind MSV, Sacco RL, Gutierrez J. Intracranial artery stenosis is associated with cortical thinning in stroke-free individuals of two longitudinal cohorts. J Neurol Sci 2023; 444:120533. [PMID: 36577280 PMCID: PMC9880900 DOI: 10.1016/j.jns.2022.120533] [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: 09/26/2022] [Revised: 12/16/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND We examined the association between asymptomatic intracranial artery stenosis (aICAS) and cortical thickness using brain magnetic resonance morphometry in two cohorts. METHODS This cross-sectional study included stroke-free participants from the Northern Manhattan Study (NOMAS) and the National Alzheimer's Coordinating Center (NACC). We represented the predictor aICAS in NOMAS as a continuous global stenosis score reflecting an overall burden of stenosis (possible range 0-44) assessed by magnetic resonance angiography and in NACC as a dichotomous autopsy-determined Circle of Willis (CoW) atherosclerosis (none-mild vs moderate-severe). The primary outcome of interest was total cortical thickness. We analyzed each dataset separately using multivariable linear regression. RESULTS The analysis included 1209 NOMAS (46% had any stenosis, 5% had ≥70% stenosis of at least one vessel; stenosis score range 0-11) and 392 NACC (36% moderate-severe CoW atherosclerosis) participants. We found an inverse relationship between stenosis score and total cortical thickness (β-estimate [95% confidence interval (CI)]: -2.98 [-5.85, -0.11]) in adjusted models. We replicated these results in NACC (β-estimate [95% CI]: -0.06 [-0.11, -0.003]). Post-hoc, we segregated stenosis scores by location and only posterior circulation stenosis score was associated with total cortical thickness (anterior β-estimate [95% CI]: -0.90 [-5.16, 3.36], posterior β-estimate [95% CI]: -7.25 [-14.30, -0.20]). CONCLUSION We found both radiographically and neuropathologically determined aICAS to be associated with global cortical thinning. Interestingly, posterior circulation stenoses appeared to drive this association with global cortical thinning, raising the possibility of pathophysiologic mechanisms for cortical thinning other than impaired hemodynamics.
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Affiliation(s)
- Dixon Yang
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Arjun V Masurkar
- Department of Neurology, Center for Cognitive Neurology, New York University Grossman School of Medicine, New York, NY, USA; Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY, USA; Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA
| | - Farid Khasiyev
- Department of Neurology, Saint Louis University, Saint Louis, MO, USA
| | - Tatjana Rundek
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA; Evelyn McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Clinton B Wright
- National Institute of Neurologic Disorders and Stroke, Bethesda, MD, USA
| | - Mitchell S V Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ralph L Sacco
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA; Evelyn McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jose Gutierrez
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
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Bayram E, Holden SK, Fullard M, Armstrong MJ. Race and Ethnicity in Lewy Body Dementia: A Narrative Review. J Alzheimers Dis 2023; 94:861-878. [PMID: 37355902 PMCID: PMC10448838 DOI: 10.3233/jad-230207] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2023]
Abstract
Lewy body dementia is the third most common and costliest type of dementia. It is an umbrella term for dementia with Lewy bodies and Parkinson's disease dementia, both of which place a substantial burden on the person and society. Recent findings outline ethnoracial differences in dementia risk. Delayed and misdiagnosis across ethnoracial groups contribute to higher levels of burden. In this context, we aimed to summarize current knowledge, gaps, and unmet needs relating to race and ethnicity in Lewy body dementia. In this narrative review, we provide an overview of studies on Lewy body dementia focusing on differences across ethnoracial groups and outline several recommendations for future studies. The majority of the findings comparing different ethnoracial groups were from North American sites. There were no differences in clinical prevalence and progression across ethnoracial groups. Compared to people identifying as non-Hispanic White, co-pathologies were more common and clinical diagnostic accuracy was lower for people identifying as Black. Co-morbidities (e.g., diabetes, hypertension) were more common and medication use rates (e.g., antidepressants, antiparkinsonian agents) were lower for people identifying as Black or Hispanic compared to people identifying as White. More than 90% of clinical trial participants identified as non-Hispanic White. Despite increasing efforts to overcome disparities in Alzheimer's disease and related dementias, inclusion of individuals from minoritized communities in Lewy body dementia studies continues to be limited and the findings are inconclusive. Representation of diverse populations is crucial to improve the diagnostic and therapeutic efforts in Lewy body dementia.
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Affiliation(s)
- Ece Bayram
- Parkinson and Other Movement Disorders Center, Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Samantha K. Holden
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Michelle Fullard
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Melissa J. Armstrong
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA
- Fixel Institute for Neurological Diseases, Gainesville, FL, USA
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Nagaraja N, Wang WE, Duara R, DeKosky ST, Vaillancourt D. Mediation of Reduced Hippocampal Volume by Cerebral Amyloid Angiopathy in Pathologically Confirmed Patients with Alzheimer's Disease. J Alzheimers Dis 2023; 93:495-507. [PMID: 37038809 DOI: 10.3233/jad-220624] [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: 04/07/2023]
Abstract
BACKGROUND Hippocampal atrophy in cerebral amyloid angiopathy (CAA) has been reported to be similar to that in Alzheimer's disease (AD). OBJECTIVE To evaluate if CAA pathology partly mediates reduced hippocampal volume in patients with AD. METHODS Patients with a clinical diagnosis of AD and neuropathological confirmation of AD+/-CAA in the National Alzheimer's Coordinating Center database were included in the study. The volumes of temporal lobe structures were calculated on T1-weighted imaging (T1-MRI) using automated FreeSurfer software, from images acquired on average 5 years prior to death. Multivariate regression analysis was performed to compare brain volumes in four CAA groups. The hippocampal volume on T1-MRI was correlated with Clinical Dementia Rating sum of boxes (CDRsb) score, apolipoprotein E (APOE) genotype, and hippocampal atrophy at autopsy. RESULTS The study included 231 patients with no (n = 45), mild (n = 70), moderate (n = 67), and severe (n = 49) CAA. Among the four CAA groups, patients with severe CAA had a smaller mean left hippocampal volume (p = 0.023) but this was not significant when adjusted for APOE ɛ4 (p = 0.07). The left hippocampal volume on MRI correlated significantly with the hippocampal atrophy grading on neuropathology (p = 0.0003). Among patients with severe CAA, the left hippocampal volume on T1-MRI: (a) decreased with an increase in the number of APOE ɛ4 alleles (p = 0.04); but (b) had no evidence of correlation with CDRsb score (p = 0.57). CONCLUSION Severe CAA was associated with smaller left hippocampal volume on T1-MRI up to five years prior to death among patients with neuropathologically confirmed AD. This relationship was dependent on APOE ɛ4 genotype.
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Affiliation(s)
- Nandakumar Nagaraja
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Wei-En Wang
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Ranjan Duara
- Department of Neurology, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - Steven T DeKosky
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
- McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - David Vaillancourt
- Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
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Di J, Nelson RS, Jicha GA, Moga DC, Barber JM, Cykowski MD, Fardo DW, Abner EL, Nelson PT. Urinary Incontinence in a Community-Based Autopsy Cohort Is Associated with Limbic Predominant Age-Related TDP-43 Encephalopathy Neuropathologic Changes. J Alzheimers Dis 2023; 94:333-346. [PMID: 37248909 PMCID: PMC10618953 DOI: 10.3233/jad-230425] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
BACKGROUND Dementia and urinary incontinence (UI) are etiologically complex clinical syndromes. Dementia and UI often occur in the same individuals, but underlying factors connecting them are incompletely understood. OBJECTIVE Query data from a community-based autopsy series to assess pathologies that underlie UI. METHODS Included research subjects came to autopsy from the University of Kentucky Alzheimer's Disease Research Center longitudinal cohort. A total of 368 research volunteers met inclusion criteria for this cross-sectional study. The average age at death was 85.3 years and the average number of annual clinic visits was 5.2 visits. Statistical models were run to evaluate which pathologies were associated with UI. Data included pathologies scored according to conventional stage-based systems, and these studies were complemented by quantitative digital neuropathology. RESULTS Dementia was diagnosed at the final clinical visit in 208 (56.7% of the sample) and UI was documented in 156 (42.7%). UI was associated with depression and dementia (both p < 0.001). More women than men had a history of UI (p < 0.04), and women with UI had had more biological children than those without UI (p < 0.005). Participants with limbic predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC) were more likely to have UI than those without LATE-NC (p < 0.001). The presence of LATE-NC (Stage > 1) was associated with UI with or without severe Alzheimer's disease neuropathologic changes and/or Lewy body pathology. CONCLUSION In this community-based autopsy cohort, multiple factors were associated with UI, but the neuropathologic change most robustly associated with UI was LATE-NC.
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Affiliation(s)
- Jing Di
- University of Kentucky Department of Pathology and Laboratory Medicine, Lexington, KY
| | | | - Gregory A. Jicha
- Sanders-Brown Center on Aging Lexington, KY
- Department of Neurology, Lexington, KY
| | - Daniela C. Moga
- Sanders-Brown Center on Aging Lexington, KY
- Department of Pharmacology, Lexington, KY
| | | | | | - David W. Fardo
- Sanders-Brown Center on Aging Lexington, KY
- Department of Biostatistics, Lexington, KY
| | - Erin L. Abner
- Sanders-Brown Center on Aging Lexington, KY
- College of Public Health, Lexington, KY
| | - Peter T. Nelson
- University of Kentucky Department of Pathology and Laboratory Medicine, Lexington, KY
- Sanders-Brown Center on Aging Lexington, KY
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Blusztajn JK, Aytan N, Rajendiran T, Mellott TJ, Soni T, Burant CF, Serrano GE, Beach TG, Lin H, Stein TD. Cerebral Gray and White Matter Monogalactosyl Diglyceride Levels Rise with the Progression of Alzheimer's Disease. J Alzheimers Dis 2023; 95:1623-1634. [PMID: 37718815 PMCID: PMC10911245 DOI: 10.3233/jad-230543] [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: 09/19/2023]
Abstract
BACKGROUND Multiple studies have reported brain lipidomic abnormalities in Alzheimer's disease (AD) that affect glycerophospholipids, sphingolipids, and fatty acids. However, there is no consensus regarding the nature of these abnormalities, and it is unclear if they relate to disease progression. OBJECTIVE Monogalactosyl diglycerides (MGDGs) are a class of lipids which have been recently detected in the human brain. We sought to measure their levels in postmortem human brain and determine if these levels correlate with the progression of the AD-related traits. METHODS We measured MGDGs by ultrahigh performance liquid chromatography tandem mass spectrometry in postmortem dorsolateral prefrontal cortex gray matter and subcortical corona radiata white matter samples derived from three cohorts of participants: the Framingham Heart Study, the Boston University Alzheimer's Disease Research Center, and the Arizona Study of Aging and Neurodegenerative Disorders/Brain and Body Donation Program (total n = 288). RESULTS We detected 40 molecular species of MGDGs (including diacyl and alkyl/acyl compounds) and found that the levels of 29 of them, as well as total MGDG levels, are positively associated with AD-related traits including pathologically confirmed AD diagnosis, clinical dementia rating, Braak and Braak stage, neuritic plaque score, phospho-Tau AT8 immunostaining density, levels of phospho-Tau396 and levels of Aβ40. Increased MGDG levels were present in both gray and white matter, indicating that they are widespread and likely associated with myelin-producing oligodendrocytes-the principal cell type of white matter. CONCLUSIONS Our data implicate the MGDG metabolic defect as a central correlate of clinical and pathological progression in AD.
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Affiliation(s)
- Jan Krzysztof Blusztajn
- Boston University Chobanian & Avedisian School of Medicine
- Boston University Alzheimer’s Disease Research Center
| | - Nurgul Aytan
- Boston University Chobanian & Avedisian School of Medicine
- Boston University Alzheimer’s Disease Research Center
| | | | | | | | | | | | | | | | - Thor D. Stein
- Boston University Chobanian & Avedisian School of Medicine
- Boston University Alzheimer’s Disease Research Center
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
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Huie EZ, Escudero A, Saito N, Harvey D, Nguyen ML, Lucot KL, LaGrande J, Mungas D, DeCarli C, Lamar M, Schneider JA, Kapasi A, Rissman RA, Teich AF, Dugger BN. TDP-43 Pathology in the Setting of Intermediate and High Alzheimer's Disease Neuropathologic Changes: A Preliminary Evaluation Across Ethnoracial Groups. J Alzheimers Dis 2023; 91:1291-1301. [PMID: 36617779 PMCID: PMC9974776 DOI: 10.3233/jad-220558] [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: 01/10/2023]
Abstract
BACKGROUND Transactive Response DNA Binding Protein 43 kDa (TDP-43) pathology is frequently found in cases with Alzheimer's disease (AD). TDP-43 pathology is associated with hippocampal atrophy and greater AD severity denoted by cognition and clinical representation. Current TDP-43 pathology studies are predominantly based on non-Hispanic White cohorts. OBJECTIVE We sought to evaluate the presence of TDP-43 pathology across ethnoracial groups utilizing the National Alzheimer's Coordinating Center; a database containing data from over 29 institutions across the United States. Cases (N = 1135: Hispanics/Latinos = 29, African Americans/Black Americans = 51, Asians/Asian Americans = 10, American Indians/Alaskan Natives = 2, non-Hispanic White = 1043) with intermediate/high AD having data on TDP-43 pathology in the amygdala, hippocampus, entorhinal cortex, and neocortex were included. METHODS TDP-43 pathology frequency in each neuroanatomic region among ethnoracial groups were compared using generalized linear mixed effects models with center as a random effect adjusting for age at death, education, and gender. RESULTS Although groups were imbalanced, there was no significant difference across ethnoracial groups based on TDP-43 pathology (p = 0.84). With respect to neuroanatomical regions evaluated, there were no significant differences across ethnoracial groups (p-values > 0.06). There were also no significant differences for age at death and gender ratios across ethnoracial groups based on TDP-43 pathology. Although not statistically significant, TDP-43 pathology was present less often in Hispanic/Latinos (34%) when compared to non-Hispanic Whites (46%). CONCLUSION While this is a preliminary evaluation, it highlights the need for diverse cohorts and on TDP-43 pathology research across ethnoracial groups. This is the first study to our knowledge having a focus on the neuroanatomical distribution of TDP-43 deposits in Hispanic/Latino decedents with AD.
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Affiliation(s)
- Emily Z. Huie
- Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Sacramento, California
| | - Anthony Escudero
- Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Sacramento, California
- Alzheimer’s Disease Research Center, Department of Neurology, University of California Davis, School of Medicine, Sacramento, California
| | - Naomi Saito
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, California
| | - Danielle Harvey
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, California
- Alzheimer’s Disease Research Center, Department of Neurology, University of California Davis, School of Medicine, Sacramento, California
| | - My-Le Nguyen
- Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Sacramento, California
| | - Katherine L. Lucot
- Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Sacramento, California
| | - Jayne LaGrande
- Alzheimer’s Disease Research Center, Department of Neurology, University of California Davis, School of Medicine, Sacramento, California
| | - Dan Mungas
- Alzheimer’s Disease Research Center, Department of Neurology, University of California Davis, School of Medicine, Sacramento, California
| | - Charles DeCarli
- Alzheimer’s Disease Research Center, Department of Neurology, University of California Davis, School of Medicine, Sacramento, California
| | - Melissa Lamar
- Department of Psychiatry and Behavioral Sciences, Rush Medical College, Chicago, Illinois
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois
- Department of Pathology, Rush University Medical Center, Chicago, Illinois
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois
| | - Alifiya Kapasi
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois
- Department of Pathology, Rush University Medical Center, Chicago, Illinois
| | - Robert A. Rissman
- Department of Neurosciences, University of California San Diego, San Diego, La Jolla, California
| | - Andrew F. Teich
- Taub Institute for Research on Alzheimer’s Disease and Aging Brain, Department of Neurology, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, New York
| | - Brittany N. Dugger
- Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Sacramento, California
- Alzheimer’s Disease Research Center, Department of Neurology, University of California Davis, School of Medicine, Sacramento, California
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Leiby AMC, Scambray KA, Nguyen HL, Basith F, Fakhraee S, Melikyan ZA, Bukhari SA, Montine TJ, Corrada MM, Kawas CH, Sajjadi SA. Characterizing Limbic-Predominant Age-Related TDP-43 Encephalopathy Without Alzheimer's Disease and Lewy Body Dementia in the Oldest Old: A Case Series. J Alzheimers Dis 2023; 96:113-124. [PMID: 37742640 PMCID: PMC10615772 DOI: 10.3233/jad-230238] [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: 09/26/2023]
Abstract
BACKGROUND Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) is a clinicopathological construct proposed to facilitate studying TDP-43 pathology in older individuals. OBJECTIVE Our aim was to describe clinical and cognitive characteristics of LATE-NC without Alzheimer's disease neuropathologic change (ADNC) and Lewy body (LB) and to compare this with ADNC and primary age related tauopathy (PART). METHODS In 364 autopsies of the oldest old of The 90+ Study, we identified those with LATE-NC without ADNC and LB. Control groups were participants with ADNC and PART. RESULTS Of 31% of participants who had LATE-NC, only 5 (1.4%) had LATE-NC without ADNC and LB, all of whom had tau. These participants had a gradual and progressive cognitive decline. Four (80%) had dementia at death, a rate that was higher than ADNC (50%) and PART (21.7%). Mean duration of cognitive impairment was twice as long in LATE-NC without ADNC and LB (6.2 years) compared to ADNC (2.9 years) and PART (3 years). LATE-NC without ADNC and LB group had a higher prevalence of syncope, depression, and extrapyramidal signs than the ADNC and PART groups. CONCLUSIONS Despite the high prevalence of LATE-NC, LATE-NC without ADNC and LB was rare in this large oldest-old cohort, highlighting the very high prevalence of multiple pathologic changes in the oldest old. Slowly progressive cognitive decline, ubiquitous memory impairment, history of syncope and depression, and extrapyramidal signs were prominent features among our LATE-NC without ADNC and LB group.
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Affiliation(s)
| | | | - Hannah L. Nguyen
- Department of Neurology, University of California, Irvine, CA, USA
| | - Farheen Basith
- Department of Neurology, University of California, Irvine, CA, USA
| | | | - Zarui A. Melikyan
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Syed A. Bukhari
- Department of Pathology, Stanford University, Palo Alto, CA, USA
| | | | - María M. Corrada
- Department of Neurology, University of California, Irvine, CA, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA
| | - Claudia H. Kawas
- Department of Neurology, University of California, Irvine, CA, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Pathology, University of California, Irvine, CA, USA
| | - S. Ahmad Sajjadi
- Department of Neurology, University of California, Irvine, CA, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
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Journe‐Mallet I, Gouju J, Etcharry‐Bouyx F, Chauvire V, Guillet‐Pichon V, Scherer‐Gagou C, Prundean A, Godard S, Lecluse A, Cassereau J, Verny C, Letournel F, Codron P. Design and application of a customizable relational
DataBase
to assess clinicopathological correlations and concomitant pathology in neurodegenerative diseases. Brain Pathol 2022; 33:e13138. [PMID: 36536531 PMCID: PMC10154372 DOI: 10.1111/bpa.13138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
The diagnosis of neurodegenerative diseases is made complex by the heterogenous phenotype of the patients and the regular occurrence of concomitant pathology. Studying clinicopathological correlations in autopsy series is a central approach to improve pathological prediction in clinical practice. However, such method requires a wealth of information, and the use of standard spreadsheet software is hardly suitable. To overcome this constraint, we designed a customizable and freely available neuropathology form with 456 data entry fields driven by an open-source DataBase Management Systems (DBMS) using Structured Query Language (SQL). This approach allowed us to optimize the compilation of clinical and pathological data from our brain collection (264 autopsied patients, 22,885 data points). Information was then easily retrieved using general and specific queries, facilitating the analysis of demographics, clinicopathological correlations, and incidental and concomitant proteinopathies. Tau, amyloid-β and α-synuclein incidental pathology was observed in respectively 78.1%, 42.8%, and 10.7% of all the patients. These proportions increased with age, reaching 100% for Tau pathology after 80. Concomitant proteinopathy was observed in 46.4% of the patients diagnosed with neurodegenerative diseases and prion disease. We observed a particularly high rate of co-pathology in patients with Dementia with Lewy bodies (81.3% of associated Tau and amyloid-β pathology) and Creutzfeldt-Jakob disease (68.4% of associated Tau pathology). Finally, we used specific queries to identify old cases that could meet newly defined neuropathological criteria and revised the diagnosis of a 90-year-old patient to LATE Stage 2. Increasing our understanding of clinicopathological correlations in neurodegenerative diseases is crucial given the implications in clinical diagnosis, biomarker identification and targeted therapies assessment. The precise characterization of clinical and pathological data of autopsy series remains a central approach but the large amount of generated data should encourage a more systematic use of DBMS.
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Affiliation(s)
- Isabelle Journe‐Mallet
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | - Julien Gouju
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | | | - Valérie Chauvire
- Centre mémoire de ressource et de recherche Centre Hospitalier Universitaire d'Angers Angers France
| | - Virginie Guillet‐Pichon
- Centre mémoire de ressource et de recherche Centre Hospitalier Universitaire d'Angers Angers France
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
| | - Clarisse Scherer‐Gagou
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
| | - Adriana Prundean
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
| | - Sophie Godard
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
| | - Aldéric Lecluse
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
| | - Julien Cassereau
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
- Centre de référence des maladies neuromusculaires AOC Centre Hospitalier Universitaire d'Angers Angers France
- Centre de ressources et de compétences sur la SLA Centre Hospitalier Universitaire d'Angers Angers France
| | - Christophe Verny
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
| | - Franck Letournel
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | - Philippe Codron
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
- Centre de référence des maladies neuromusculaires AOC Centre Hospitalier Universitaire d'Angers Angers France
- Centre de ressources et de compétences sur la SLA Centre Hospitalier Universitaire d'Angers Angers France
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45
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Lahna D, Roese N, Woltjer R, Boespflug EL, Schwartz D, Grinstead J, Dodge HH, Wall R, Kaye JA, Rooney WD, Silbert LC. Postmortem 7T MRI for guided histopathology and evaluation of cerebrovascular disease. J Neuropathol Exp Neurol 2022; 82:57-70. [PMID: 36343095 PMCID: PMC9764082 DOI: 10.1093/jnen/nlac103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Postmortem (PM) magnetic resonance imaging (MRI) can serve as a bridge between in vivo imaging and histology by connecting MRI observed macrostructural findings to histological staining and microstructural changes. Data were acquired from 20 formalin-fixed brains including T2, T1, PD, and T2*-weighted images of left hemispheres and 6-mm-thick coronal slices. Tissue slices were bisected, aligned to MR images and used to guide histological sampling. Markers of myelin and oligodendroglia alterations were semiquantitatively rated and compared within white matter hyperintensities (WMHs) and normal-appearing white matter. Tissue priors were created from 3T in vivo data and used to guide segmentation of WMH. PM WMH and hemisphere volumes were compared to volumes derived from in vivo data. PM T2 WMH and T1 hemisphere volumes were correlated with in vivo 3T FLAIR WMH and T1 hemisphere volumes. WMH showed significant myelin loss, decreased GFAP expression and increased vimentin expression. MR-visible perivascular spaces and cortical microvascular lesions were successfully captured on histopathological sections. PM MRI can quantify cerebrovascular disease burden and guide tissue sampling, allowing for more comprehensive characterization of cerebrovascular disease that may be used to study etiologies of age-related cognitive change.
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Affiliation(s)
- David Lahna
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Natalie Roese
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Randy Woltjer
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
- Department of Pathology, Oregon Health & Science University, Portland, Oregon, USA
| | - Erin L Boespflug
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Daniel Schwartz
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | | | - Hiroko H Dodge
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Rachel Wall
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
- Veterans Affairs Portland Health Care System, Portland, Oregon, USA
| | - Jeffrey A Kaye
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Lisa C Silbert
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
- Veterans Affairs Portland Health Care System, Portland, Oregon, USA
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46
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Godrich D, Martin ER, Schellenberg G, Pericak‐Vance MA, Cuccaro M, Scott WK, Kukull W, Montine T, Beecham GW. Neuropathological lesions and their contribution to dementia and cognitive impairment in a heterogeneous clinical population. Alzheimers Dement 2022; 18:2403-2412. [PMID: 35142102 PMCID: PMC9360193 DOI: 10.1002/alz.12516] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 09/14/2021] [Accepted: 09/22/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Alzheimer disease (AD) and related dementias are characterized by damage caused by neuropathological lesions in the brain. These include AD lesions (plaques and tangles) and non-AD lesions such as vascular injury or Lewy bodies. We report here an assessment of lesion association to dementia in a large clinic-based population. METHODS We identified 5272 individuals with neuropathological data from the National Alzheimer's Coordinating Center. Individual lesions, as well as a neuropathological composite score (NPCS) were tested for association with dementia, and both functional and neurocognitive impairment using regression models. RESULTS Most individuals exhibited mixed pathologies, especially AD lesions in combination with non-AD lesions. All lesion types were associated with one or more clinical outcomes; most even while controlling for AD pathology. The NPCS was also associated with clinical outcomes. DISCUSSION These data suggest mixed-type pathologies are extremely common in a clinic-based population and may contribute to dementia and cognitive impairment.
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Affiliation(s)
- Dana Godrich
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Eden R. Martin
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Gerard Schellenberg
- Penn Neurodegeneration Genomics CenterDepartment of Pathology and Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Margaret A. Pericak‐Vance
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Michael Cuccaro
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - William K. Scott
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Walter Kukull
- Department of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Thomas Montine
- Department of PathologyStanford UniversityStanfordCaliforniaUSA
| | - Gary W. Beecham
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
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47
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Mazumder S, Kiernan MC, Halliday GM, Timmins HC, Mahoney CJ. The contribution of brain banks to knowledge discovery in amyotrophic lateral sclerosis: A systematic review. Neuropathol Appl Neurobiol 2022; 48:e12845. [PMID: 35921237 PMCID: PMC9804699 DOI: 10.1111/nan.12845] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/17/2022] [Accepted: 07/23/2022] [Indexed: 01/09/2023]
Abstract
Over the past decade, considerable efforts have been made to accelerate pathophysiological understanding of fatal neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) with brain banks at the forefront. In addition to exploratory disease mechanisms, brain banks have aided our understanding with regard to clinical diagnosis, genetics and cell biology. Across neurodegenerative disorders, the impact of brain tissue in ALS research has yet to be quantified. This review aims to outline (i) how postmortem tissues from brain banks have influenced our understanding of ALS over the last 15 years, (ii) correlate the location of dedicated brain banks with the geographical prevalence of ALS, (iii) identify the frequency of features reported from postmortem studies and (iv) propose common reporting standards for materials obtained from dedicated brain banks. A systematic review was conducted using PubMed and Web of Science databases using key words. From a total of 1439 articles, 73 articles were included in the final review, following PRISMA guidelines. Following a thematic analysis, articles were categorised into five themes; clinico-pathological (13), genetic (20), transactive response DNA binding protein 43 (TDP-43) pathology (12), non-TDP-43 neuronal pathology (nine) and extraneuronal pathology (19). Research primarily focused on the genetics of ALS, followed by protein pathology. About 63% of the brain banks were in the United States of America and United Kingdom. The location of brain banks overall aligned with the incidence of ALS worldwide with 88% of brain banks situated in Europe and North America. An overwhelming lack of consistency in reporting and replicability was observed, strengthening the need for a standardised reporting system. Overall, postmortem material from brain banks generated substantial new knowledge in areas of genetics and proteomics and supports their ongoing role as an important research tool.
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Affiliation(s)
- Srestha Mazumder
- ForeFront Clinic, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Matthew C. Kiernan
- ForeFront Clinic, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Glenda M. Halliday
- Frontier, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Hannah C. Timmins
- ForeFront Clinic, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Colin J. Mahoney
- ForeFront Clinic, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
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48
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Gauthreaux K, Mock C, Teylan MA, Culhane JE, Chen YC, Chan KCG, Katsumata Y, Nelson PT, Kukull WA. Symptomatic Profile and Cognitive Performance in Autopsy-Confirmed Limbic-Predominant Age-Related TDP-43 Encephalopathy With Comorbid Alzheimer Disease. J Neuropathol Exp Neurol 2022; 81:975-987. [PMID: 36264254 PMCID: PMC9677237 DOI: 10.1093/jnen/nlac093] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Transactive response DNA-binding protein 43 kDa (TDP-43) proteinopathy is the hallmark of limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC). LATE-NC is a common copathology with Alzheimer disease neuropathologic change (ADNC). Data from the National Alzheimer's Coordinating Center were analyzed to compare clinical features and copathologies of autopsy-confirmed ADNC with versus without comorbid LATE-NC. A total of 735 participants with ADNC alone and 365 with ADNC with LATE-NC were included. Consistent with prior work, brains with LATE-NC had more severe ADNC, more hippocampal sclerosis, and more brain arteriolosclerosis copathologies. Behavioral symptoms and cognitive performance on neuropsychological tests were compared, stratified by ADNC severity (low/intermediate vs high). Participants with ADNC and LATE-NC were older, had higher ADNC burden, and had worse cognitive performance than participants with ADNC alone. In the low/intermediate ADNC strata, participants with comorbid LATE-NC had higher prevalence of behavioral symptoms (apathy, disinhibition, agitation, personality change). They also had worsened performance in episodic memory and language/semantic memory. Differences narrowed in the high ADNC strata, with worsened performance in only episodic memory in the comorbid LATE-NC group. The co-occurrence of LATE-NC with ADNC is associated with a different pattern of behavioral and cognitive performance than ADNC alone, particularly in people with low/intermediate ADNC burden.
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Affiliation(s)
- Kathryn Gauthreaux
- From the Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington, USA
| | - Charles Mock
- From the Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington, USA
| | - Merilee A Teylan
- From the Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington, USA
| | - Jessica E Culhane
- From the Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington, USA
| | - Yen-Chi Chen
- From the Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Kwun C G Chan
- From the Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Division of Neuropathology, Department of Pathology, University of Kentucky, Lexington, Kentucky, USA
| | - Walter A Kukull
- From the Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington, USA
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Ruthirakuhan M, Ismail Z, Herrmann N, Gallagher D, Lanctot KL. Mild behavioral impairment is associated with progression to Alzheimer's disease: A clinicopathological study. Alzheimers Dement 2022; 18:2199-2208. [PMID: 35103400 PMCID: PMC9339594 DOI: 10.1002/alz.12519] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 09/24/2021] [Accepted: 09/28/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Mild behavioral impairment (MBI) is characterized by later-life emergence of neuropsychiatric symptoms. Investigating its relationship with progression to Alzheimer's disease (AD) would provide insight on its importance as a predictor of AD. METHODS Cognitively normal participants (N = 11,372) from the National Alzheimer's Coordinating Center were stratified by MBI status, using the Neuropsychiatric Inventory-Questionnaire. We investigated whether MBI and its domains were predictors of progression to clinically-diagnosed AD. MBI as a predictor of progression to neuropathology-confirmed AD was also investigated in those with neuropathological data. RESULTS Six percent (N = 671) of participants progressed to AD. MBI (N = 2765) was a significant predictor of progression to clinically-diagnosed (hazard ratio [HR] = 1.75) and neuropathology-confirmed AD (HR = 1.59). MBI domains were also associated with clinically-diagnosed AD, with psychosis having the greatest effect (HR = 6.49). DISCUSSION These findings support the biological underpinnings of MBI, emphasizing the importance of later life behavioral changes in dementia detection and prognostication.
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Affiliation(s)
- Myuri Ruthirakuhan
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, Hotchkiss Brain Institute and O’Brien Institute for Public Health University of Calgary, Calgary, Canada
| | - Nathan Herrmann
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Damien Gallagher
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Krista L. Lanctot
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
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50
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Katsumata Y, Shade LM, Hohman TJ, Schneider JA, Bennett DA, Farfel JM, Kukull WA, Fardo DW, Nelson PT. Multiple gene variants linked to Alzheimer's-type clinical dementia via GWAS are also associated with non-Alzheimer's neuropathologic entities. Neurobiol Dis 2022; 174:105880. [PMID: 36191742 PMCID: PMC9641973 DOI: 10.1016/j.nbd.2022.105880] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/27/2022] [Accepted: 09/29/2022] [Indexed: 11/26/2022] Open
Abstract
The classic pathologic hallmarks of Alzheimer's disease (AD) are amyloid plaques and neurofibrillary tangles (AD neuropathologic changes, or ADNC). However, brains from individuals clinically diagnosed with "AD-type" (amnestic) dementia usually harbor heterogeneous neuropathologies in addition to, or other than, ADNC. We hypothesized that some AD-type dementia associated genetic single nucleotide variants (SNVs) identified from large genomewide association studies (GWAS) were associated with non-ADNC neuropathologies. To test this hypothesis, we analyzed data from multiple studies with available genotype and neuropathologic phenotype information. Clinical AD/dementia risk alleles of interest were derived from the very large GWAS by Bellenguez et al. (2022) who reported 83 clinical AD/dementia-linked SNVs in addition to the APOE risk alleles. To query the pathologic phenotypes associated with variation of those SNVs, National Alzheimer's disease Coordinating Center (NACC) neuropathologic data were linked to AD Sequencing Project (ADSP) and AD Genomics Consortium (ADGC) data. Separate data were obtained from the harmonized Religious Orders Study and the Rush Memory and Aging Project (ROSMAP). A total of 4811 European participants had at least ADNC neuropathology data and also genotype data available; data were meta-analyzed across cohorts. As expected, a subset of dementia-associated SNVs were associated with ADNC risk in Europeans-e.g., BIN1, PICALM, CR1, MME, and COX7C. Other gene variants linked to (clinical) AD dementia were associated with non-ADNC pathologies. For example, the associations of GRN and TMEM106B SNVs with limbic-predominant age-related TDP-43 neuropathologic changes (LATE-NC) were replicated. In addition, SNVs in TNIP1 and WNT3 previously reported as AD-related were instead associated with hippocampal sclerosis pathology. Some genotype/neuropathology association trends were not statistically significant at P < 0.05 after correcting for multiple testing, but were intriguing. For example, variants in SORL1 and TPCN1 showed trends for association with LATE-NC whereas Lewy body pathology trended toward association with USP6NL and BIN1 gene variants. A smaller cohort of non-European subjects (n = 273, approximately one-half of whom were African-Americans) provided the basis for additional exploratory analyses. Overall, these findings were consistent with the hypothesis that some genetic variants linked to AD dementia risk exert their affect by influencing non-ADNC neuropathologies.
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Affiliation(s)
- Yuriko Katsumata
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA; Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Lincoln M Shade
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Julie A Schneider
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Jose M Farfel
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Walter A Kukull
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - David W Fardo
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA; Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA; Department of Pathology, University of Kentucky, Lexington, KY 40536, USA.
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