1
|
Agrawal S, Yu L, Leurgans SE, Kapasi A, Barnes LL, Bennett DA, Boyle PA, Schneider JA. Grey matter ageing-related tau astrogliopathy: associations with brain pathologies and cognitive decline. Brain 2024; 147:3501-3512. [PMID: 39045644 PMCID: PMC11449137 DOI: 10.1093/brain/awae250] [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: 02/28/2024] [Revised: 05/29/2024] [Accepted: 06/30/2024] [Indexed: 07/25/2024] Open
Abstract
Grey matter ageing-related tau astrogliopathy (ARTAG) pathology is common in aged brains and detected in multiple brain regions. However, the associations of grey matter ARTAG with Alzheimer's disease and other common age-related proteinopathies, in addition to clinical phenotypes, including Alzheimer's dementia and cognitive decline, remain unclear. We examined 442 decedents (mean age at death = 90 years, males = 32%) from three longitudinal community-based clinical-pathological studies. Using AT8 immunohistochemistry, grey matter ARTAG pathology was counted in the superior frontal region, anterior temporal tip and amygdala and summarized as a severity score ranging from zero (none) to six (severe). Alzheimer's disease and other common age-related neuropathologies were also evaluated. The diagnosis of Alzheimer's dementia was based on clinical evaluations; annual tests of cognitive performance were summarized as global cognition and five cognitive domains. Multivariable logistic regression tested the associations of grey matter ARTAG pathology with an array of age-related neuropathologies. To evaluate associations of grey matter ARTAG pathology with Alzheimer's dementia and cognitive decline, we used logistic regression and linear mixed-effect models. Grey matter ARTAG pathology was seen in 324 (73%) participants, of which 303 (68%) participants had ARTAG in the amygdala, 246 (56%) in the anterior temporal tip and 137 (31%) in the superior frontal region. Grey matter ARTAG pathology from each of the three regions was associated with a pathological diagnosis of Alzheimer's disease and limbic-predominant age-related TAR DNA-binding protein 43 encephalopathy-neuropathological change but not with vascular pathology. In fully adjusted models that controlled for demographics, Alzheimer's disease and common age-related pathologies, an increase in severity of grey matter ARTAG pathology in the superior frontal cortex, but not in the amygdala or the anterior temporal tip, was associated with higher odds of Alzheimer's dementia and faster decline in global cognition, episodic memory and semantic memory. These results provide compelling evidence that grey matter ARTAG, specifically in the superior frontal cortex, contributes to Alzheimer's dementia and cognitive decline in old age.
Collapse
Affiliation(s)
- Sonal Agrawal
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL 60612, USA
| | - Lei Yu
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Sue E Leurgans
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Alifiya Kapasi
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL 60612, USA
| | - Lisa L Barnes
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Patricia A Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| |
Collapse
|
2
|
Pina‐Escudero SD, La Joie R, Spina S, Hwang J, Miller ZA, Huang EJ, Grant H, Mundada NS, Boxer AL, Gorno‐Tempini ML, Rosen HJ, Kramer JH, Miller BL, Seeley WW, Rabinovici GD, Grinberg LT. Comorbid neuropathology and atypical presentation of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12602. [PMID: 39040464 PMCID: PMC11262028 DOI: 10.1002/dad2.12602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 12/07/2023] [Accepted: 01/19/2024] [Indexed: 07/24/2024]
Abstract
INTRODUCTION Alzheimer's disease (AD) neuropathological changes present with amnestic and nonamnestic (atypical) syndromes. The contribution of comorbid neuropathology as a substratum of atypical expression of AD remains under investigated. METHODS We examined whether atypical AD exhibited increased comorbid neuropathology compared to typical AD and if such neuropathologies contributed to the accelerated clinical decline in atypical AD. RESULTS We examined 60 atypical and 101 typical AD clinicopathological cases. The number of comorbid pathologies was similar between the groups (p = 0.09). Argyrophilic grain disease was associated with atypical presentation (p = 0.008) after accounting for sex, age of onset, and disease duration. Vascular brain injury was more common in typical AD (p = 0.022). Atypical cases had a steeper Mini-Mental Status Examination (MMSE) decline over time (p = 0.033). DISCUSSION Comorbid neuropathological changes are unlikely to contribute to atypical AD presentation and the steeper cognitive decline seen in this cohort. Highlights Autopsy cohort of 60 atypical and 101 typical AD; does comorbid pathology explain atypical presentation?Atypical versus Typical AD: No significant differences in comorbid neuropathologies were found (p = 0.09).Argyrophilic Grain Disease Association: significantly correlates with atypical AD presentations, suggesting a unique neuropathological pattern (p = 0.008).Vascular Brain Injury Prevalence: Vascular brain injury is more common in typical AD than in atypical AD (p = 0.022).Cognitive Decline in Atypical AD: Atypical AD patients experience a steeper cognitive decline measured by MMSE than those with typical AD despite lacking more comorbid neuropathology, highlighting the severity of atypical AD pathogenesis (p = 0.033).
Collapse
Affiliation(s)
- Stefanie D. Pina‐Escudero
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Renaud La Joie
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Salvatore Spina
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Ji‐Hye Hwang
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Zachary A. Miller
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Eric J. Huang
- Department of PathologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Harli Grant
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Nidhi S. Mundada
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Adam L. Boxer
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Maria Luisa Gorno‐Tempini
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Howard J. Rosen
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Joel H. Kramer
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Bruce L. Miller
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - William W. Seeley
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of PathologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Lea Tenenholz Grinberg
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of PathologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of PathologyUniversity of Sao PauloSao PauloSao PauloBrazil
| |
Collapse
|
3
|
Brahmi Z, Mahyoob M, Al-Sarem M, Algaraady J, Bousselmi K, Alblwi A. Exploring the Role of Machine Learning in Diagnosing and Treating Speech Disorders: A Systematic Literature Review. Psychol Res Behav Manag 2024; 17:2205-2232. [PMID: 38835654 PMCID: PMC11149643 DOI: 10.2147/prbm.s460283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 05/07/2024] [Indexed: 06/06/2024] Open
Abstract
Purpose Speech disorders profoundly impact the overall quality of life by impeding social operations and hindering effective communication. This study addresses the gap in systematic reviews concerning machine learning-based assistive technology for individuals with speech disorders. The overarching purpose is to offer a comprehensive overview of the field through a Systematic Literature Review (SLR) and provide valuable insights into the landscape of ML-based solutions and related studies. Methods The research employs a systematic approach, utilizing a Systematic Literature Review (SLR) methodology. The study extensively examines the existing literature on machine learning-based assistive technology for speech disorders. Specific attention is given to ML techniques, characteristics of exploited datasets in the training phase, speaker languages, feature extraction techniques, and the features employed by ML algorithms. Originality This study contributes to the existing literature by systematically exploring the machine learning landscape in assistive technology for speech disorders. The originality lies in the focused investigation of ML-speech recognition for impaired speech disorder users over ten years (2014-2023). The emphasis on systematic research questions related to ML techniques, dataset characteristics, languages, feature extraction techniques, and feature sets adds a unique and comprehensive perspective to the current discourse. Findings The systematic literature review identifies significant trends and critical studies published between 2014 and 2023. In the analysis of the 65 papers from prestigious journals, support vector machines and neural networks (CNN, DNN) were the most utilized ML technique (20%, 16.92%), with the most studied disease being Dysarthria (35/65, 54% studies). Furthermore, an upsurge in using neural network-based architectures, mainly CNN and DNN, was observed after 2018. Almost half of the included studies were published between 2021 and 2022).
Collapse
Affiliation(s)
- Zaki Brahmi
- Department of Computer Science, Taibah University, Madina, Kingdom of Saudi Arabia
| | - Mohammad Mahyoob
- Department of Languages and Translation, Taibah University, Madina, Kingdom of Saudi Arabia
| | - Mohammed Al-Sarem
- Department of Computer Science, Taibah University, Madina, Kingdom of Saudi Arabia
| | | | - Khadija Bousselmi
- Department of Computer Science, LISTIC, University of Savoie Mont Blanc, Chambéry, France
| | - Abdulaziz Alblwi
- Department of Computer Science, Taibah University, Madina, Kingdom of Saudi Arabia
| |
Collapse
|
4
|
Kertesz A, Finger E, Munoz DG. Progress in Primary Progressive Aphasia: A Review. Cogn Behav Neurol 2024; 37:3-12. [PMID: 38498721 DOI: 10.1097/wnn.0000000000000365] [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: 04/19/2023] [Accepted: 08/07/2023] [Indexed: 03/20/2024]
Abstract
We present a review of the definition, classification, and epidemiology of primary progressive aphasia (PPA); an update of the taxonomy of the clinical syndrome of PPA; and recent advances in the neuroanatomy, pathology, and genetics of PPA, as well as the search for biomarkers and treatment. PPA studies that have contributed to concepts of language organization and disease propagation in neurodegeneration are also reviewed. In addition, the issues of heterogeneity versus the relationships of the clinical phenotypes and their relationship to biological, pathological, and genetic advances are discussed, as is PPA's relationship to other conditions such as frontotemporal dementia, corticobasal degeneration, progressive supranuclear palsy, Pick disease, and amyotrophic lateral sclerosis. Arguments are presented in favor of considering these conditions as one entity versus many.
Collapse
Affiliation(s)
- Andrew Kertesz
- Department of Clinical Neurosciences, Western University Schulich School of Medicine & Dentistry, London, Ontario, Canada
| | - Elizabeth Finger
- Department of Clinical Neurosciences, Western University Schulich School of Medicine & Dentistry, London, Ontario, Canada
| | - David G Munoz
- Department of Pathology, St Michael's Hospital, Toronto, Ontario, Canada
| |
Collapse
|
5
|
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.
Collapse
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.
| |
Collapse
|
6
|
Chung J, Sahelijo N, Maruyama T, Hu J, Panitch R, Xia W, Mez J, Stein TD, Saykin AJ, Takeyama H, Farrer LA, Crane PK, Nho K, Jun GR. Alzheimer's disease heterogeneity explained by polygenic risk scores derived from brain transcriptomic profiles. Alzheimers Dement 2023; 19:5173-5184. [PMID: 37166019 PMCID: PMC10638468 DOI: 10.1002/alz.13069] [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: 03/23/2022] [Revised: 03/03/2023] [Accepted: 03/08/2023] [Indexed: 05/12/2023]
Abstract
INTRODUCTION Alzheimer's disease (AD) is heterogeneous, both clinically and neuropathologically. We investigated whether polygenic risk scores (PRSs) integrated with transcriptome profiles from AD brains can explain AD clinical heterogeneity. METHODS We conducted co-expression network analysis and identified gene sets (modules) that were preserved in three AD transcriptome datasets and associated with AD-related neuropathological traits including neuritic plaques (NPs) and neurofibrillary tangles (NFTs). We computed the module-based PRSs (mbPRSs) for each module and tested associations with mbPRSs for cognitive test scores, cognitively defined AD subgroups, and brain imaging data. RESULTS Of the modules significantly associated with NPs and/or NFTs, the mbPRSs from two modules (M6 and M9) showed distinct associations with language and visuospatial functioning, respectively. They matched clinical subtypes and brain atrophy at specific regions. DISCUSSION Our findings demonstrate that polygenic profiling based on co-expressed gene sets can explain heterogeneity in AD patients, enabling genetically informed patient stratification and precision medicine in AD. HIGHLIGHTS Co-expression gene-network analysis in Alzheimer's disease (AD) brains identified gene sets (modules) associated with AD heterogeneity. AD-associated modules were selected when genes in each module were enriched for neuritic plaques and neurofibrillary tangles. Polygenic risk scores from two selected modules were linked to the matching cognitively defined AD subgroups (language and visuospatial subgroups). Polygenic risk scores from the two modules were associated with cognitive performance in language and visuospatial domains and the associations were confirmed in regional-specific brain atrophy data.
Collapse
Affiliation(s)
- Jaeyoon Chung
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Nathan Sahelijo
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Toru Maruyama
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan
| | - Junming Hu
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Rebecca Panitch
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Weiming Xia
- Department of Pharmacology & Experimental Therapeutics, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Veterans Affairs Medical Center, Bedford, MA 01730, USA
| | - Jesse Mez
- Department of Neurology, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Thor D. Stein
- Department of Veterans Affairs Medical Center, Bedford, MA 01730, USA
- Department of Pathology & Laboratory Medicine, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Boston VA Healthcare Center, Boston, MA 02130, USA
| | | | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Haruko Takeyama
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan
- Computational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, Japan, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
- Research Organization for Nano and Life Innovations, Waseda University, 513, Wasedatsurumaki-cho, Shinjuku-ku, Tokyo 162-0041, Japan
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Neurology, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Ophthalmology, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA
- Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA
| | - Paul K. Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Gyungah R. Jun
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Ophthalmology, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA
| |
Collapse
|
7
|
Zhang Y, Liu J, Wei Z, Mei J, Li Q, Zhen X, Zhang Y. Elevated serum platelet count inhibits the effects of brain functional changes on cognitive function in patients with mild cognitive impairment: A resting-state functional magnetic resonance imaging study. Front Aging Neurosci 2023; 15:1088095. [PMID: 37051376 PMCID: PMC10083369 DOI: 10.3389/fnagi.2023.1088095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 02/27/2023] [Indexed: 03/29/2023] Open
Abstract
ObjectiveBrain function remodeling has been observed in patients with mild cognitive impairment (MCI) and is closely associated with cognitive performance. However, it is not clear if this relationship is influenced by complete blood counts. This study investigated the role of complete blood counts in the relationship between brain function and cognitive performance.MethodsTwenty-two MCI patients and eighteen controls were enrolled. All subjects underwent resting-state functional magnetic resonance imaging. A neuropsychological battery [Mini-Mental Status Examination, Auditory Verbal Learning Test (AVLT), Symbol Digit Modalities Test, Boston Naming Test (BNT), Shape Trails Test B (STT-B), Rey Complex Figure Test (RCFT), Hamilton Anxiety Rating Scale (HAMA), and Hamilton Depression Scale] was used to assess cognitive function, and MCI patients received complete blood counts tests for red blood cells (RBC), white blood cells, hemoglobin (HGB), monocytes, and platelet counts (PLT).ResultsCompared with controls, MCI patients demonstrated significantly decreased amplitude of low-frequency fluctuation (ALFF) values in the left dorsolateral superior frontal gyrus, left post orbitofrontal cortex, right medial superior frontal gyrus, right insula, and left triangular inferior frontal gyrus. In the MCI group, there were associations between ALFF values of the left hippocampus (HIP.L) and AVLT (p = 0.003) and AVLT-N5 scores (p = 0.001); ALFF values of the right supramarginal gyrus (SMG.R) and BNT scores (p = 0.044); ALFF values of the right superior temporal gyrus (STG.R) and BNT scores (p = 0.022); ALFF values of the left precuneus (PCUN.L) and STT-B time (p = 0.012); and ALFF values of the left caudate nucleus (CAU.L) and RCFT-time (p = 0.036). Moreover, the HAMA scores were negatively correlated with RBC and HGB levels, and positively correlated with monocyte count. The PLT count was positively correlated with STT-B time. Additionally, high PLT count inhibited the effect of ALFF values of the PCUN. L on STT-B performance in MCI patients (p = 0.0207).ConclusionALFF values of the HIP. L, SMG.R, STG. R, PCUN.L, and CAU. L were associated with decreased memory, language, executive function, and visuospatial ability in MCI patients. Notably, elevated PLT count could inhibit the effect of brain functional changes in the PCUN.L on executive function in MCI patients.
Collapse
Affiliation(s)
- Yuechan Zhang
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jing Liu
- Department of Pharmacy, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zijun Wei
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jianing Mei
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qianqian Li
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaomin Zhen
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Xiaomin Zhen, ; Yunyun Zhang,
| | - Yunyun Zhang
- Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Xiaomin Zhen, ; Yunyun Zhang,
| |
Collapse
|
8
|
Best J, Chapleau M, Rabinovici GD. Posterior cortical atrophy: clinical, neuroimaging, and neuropathological features. Expert Rev Neurother 2023; 23:227-236. [PMID: 36920752 DOI: 10.1080/14737175.2023.2190885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
INTRODUCTION Posterior Cortical Atrophy (PCA) is a neurodegenerative disorder characterized by impairment of higher-order visual processing in the setting of progressive atrophy of the parietal and occipital lobes. The underlying pathology is variable but most commonly Alzheimer's disease. The majority of individuals develop symptoms before 65 years of age; however, delayed diagnosis is common due to misattribution of symptoms to ocular rather than cortical pathology. AREAS COVERED The purpose of this review is to provide readers with an in-depth analysis of Posterior Cortical Atrophy syndrome, including clinical, imaging, pathological, and genetic features, management, and treatments. EXPERT OPINION Most patients present initially with a relatively pure visuoperceptual-visuospatial syndrome, though other cognitive domains become affected over time. Structural neuroimaging demonstrates parieto-occipital or temporo-occipital predominant atrophy. Cerebrospinal fluid Alzheimer's disease biomarkers, or amyloid/tau PET imaging can help evaluate for underlying Alzheimer's disease, which is the most common underlying neuropathology. The cornerstone of management is focused on nonpharmacologic measures. Early etiologic diagnosis is important with the arrival of disease-modifying therapies, especially for Alzheimer's disease.
Collapse
Affiliation(s)
- John Best
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Marianne Chapleau
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.,Departments of Neurology, Radiology & Biomedical Imaging, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| |
Collapse
|
9
|
I F. The unique neuropathological vulnerability of the human brain to aging. Ageing Res Rev 2023; 87:101916. [PMID: 36990284 DOI: 10.1016/j.arr.2023.101916] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 03/30/2023]
Abstract
Alzheimer's disease (AD)-related neurofibrillary tangles (NFT), argyrophilic grain disease (AGD), aging-related tau astrogliopathy (ARTAG), limbic predominant TDP-43 proteinopathy (LATE), and amygdala-predominant Lewy body disease (LBD) are proteinopathies that, together with hippocampal sclerosis, progressively appear in the elderly affecting from 50% to 99% of individuals aged 80 years, depending on the disease. These disorders usually converge on the same subject and associate with additive cognitive impairment. Abnormal Tau, TDP-43, and α-synuclein pathologies progress following a pattern consistent with an active cell-to-cell transmission and abnormal protein processing in the host cell. However, cell vulnerability and transmission pathways are specific for each disorder, albeit abnormal proteins may co-localize in particular neurons. All these alterations are unique or highly prevalent in humans. They all affect, at first, the archicortex and paleocortex to extend at later stages to the neocortex and other regions of the telencephalon. These observations show that the phylogenetically oldest areas of the human cerebral cortex and amygdala are not designed to cope with the lifespan of actual humans. New strategies aimed at reducing the functional overload of the human telencephalon, including optimization of dream repair mechanisms and implementation of artificial circuit devices to surrogate specific brain functions, appear promising.
Collapse
Affiliation(s)
- Ferrer I
- Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain; Emeritus Researcher of the Bellvitge Institute of Biomedical Research (IDIBELL), Barcelona, Spain; Biomedical Research Network of Neurodegenerative Diseases (CIBERNED), Barcelona, Spain; Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Hospitalet de Llobregat, Barcelona, Spain.
| |
Collapse
|
10
|
Mai M, Guo X, Huang Y, Zhang W, Xu Y, Zhang Y, Bai X, Wu J, Zu H. DHCR24 Knockdown Induces Tau Hyperphosphorylation at Thr181, Ser199, Ser262, and Ser396 Sites via Activation of the Lipid Raft-Dependent Ras/MEK/ERK Signaling Pathway in C8D1A Astrocytes. Mol Neurobiol 2022; 59:5856-5873. [PMID: 35804281 PMCID: PMC9395500 DOI: 10.1007/s12035-022-02945-w] [Citation(s) in RCA: 9] [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: 11/11/2021] [Accepted: 06/28/2022] [Indexed: 02/01/2023]
Abstract
The synthetase 3β-hydroxysterol-Δ24 reductase (DHCR24) is a key regulator involved in cholesterol synthesis and homeostasis. A growing body of evidence indicates that DHCR24 is downregulated in the brain of various models of Alzheimer's disease (AD), such as astrocytes isolated from AD mice. For the past decades, astrocytic tau pathology has been found in AD patients, while the origin of phosphorylated tau in astrocytes remains unknown. A previous study suggests that downregulation of DHCR24 is associated with neuronal tau hyperphosphorylation. Herein, the present study is to explore whether DHCR24 deficiency can also affect tau phosphorylation in astrocytes. Here, we showed that DHCR24 knockdown could induce tau hyperphosphorylation at Thr181, Ser199, Thr231, Ser262, and Ser396 sites in C8D1A astrocytes. Meanwhile, we found that DHCR24-silencing cells had reduced the level of free cholesterol in the plasma membrane and intracellular organelles, as well as cholesterol esters. Furthermore, reduced cellular cholesterol level caused a decreased level of the caveolae-associated protein, cavin1, which disrupted lipid rafts/caveolae and activated rafts/caveolae-dependent Ras/MEK/ERK signaling pathway. In contrast, overexpression of DHCR24 prevented the overactivation of Ras/MEK/ERK signaling by increasing cellular cholesterol content, therefore decreasing tau hyperphosphorylation in C8D1A astrocytes. Herein, we firstly found that DHCR24 knockdown can lead to tau hyperphosphorylation in the astrocyte itself by activating lipid raft-dependent Ras/MEK/ERK signaling, which might contribute to the pathogenesis of AD and other degenerative tauopathies.
Collapse
Affiliation(s)
- Meiting Mai
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, No.1508 Long-hang Road, Jinshan district, Shanghai, 201508 China
| | - Xiaorou Guo
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, No.1508 Long-hang Road, Jinshan district, Shanghai, 201508 China
| | - Yue Huang
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, No.1508 Long-hang Road, Jinshan district, Shanghai, 201508 China
| | - Wenbin Zhang
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, No.1508 Long-hang Road, Jinshan district, Shanghai, 201508 China
| | - Yixuan Xu
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, No.1508 Long-hang Road, Jinshan district, Shanghai, 201508 China
| | - Ying Zhang
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, No.1508 Long-hang Road, Jinshan district, Shanghai, 201508 China
| | - Xiaojing Bai
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, No.1508 Long-hang Road, Jinshan district, Shanghai, 201508 China
| | - Junfeng Wu
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, No.1508 Long-hang Road, Jinshan district, Shanghai, 201508 China
| | - Hengbing Zu
- Department of Neurology, Jinshan Hospital Affiliated to Fudan University, No.1508 Long-hang Road, Jinshan district, Shanghai, 201508 China
| |
Collapse
|
11
|
Forrest SL, Wagner S, Kim A, Kovacs GG. Association of glial tau pathology and LATE-NC in the ageing brain. Neurobiol Aging 2022; 119:77-88. [DOI: 10.1016/j.neurobiolaging.2022.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 07/20/2022] [Accepted: 07/27/2022] [Indexed: 11/25/2022]
|
12
|
Abstract
Neurodegenerative diseases are a pathologically, clinically and genetically diverse group of disorders without effective disease-modifying therapies. Pathologically, these disorders are characterised by disease-specific protein aggregates in neurons and/or glia and referred to as proteinopathies. Many neurodegenerative diseases show pathological overlap with the same abnormally deposited protein occurring in anatomically distinct regions, which give rise to specific patterns of cognitive and motor clinical phenotypes. Sequential distribution patterns of protein inclusions throughout the brain have been described. Rather than occurring in isolation, it is increasingly recognised that combinations of one or more proteinopathies with or without cerebrovascular disease frequently occur in individuals with neurodegenerative diseases. In addition, complex constellations of ageing-related and incidental pathologies associated with tau, TDP-43, Aβ, α-synuclein deposition have been commonly reported in longitudinal ageing studies. This review provides an overview of current classification of neurodegenerative and age-related pathologies and presents the spectrum and complexity of mixed pathologies in community-based, longitudinal ageing studies, in major proteinopathies, and genetic conditions. Mixed pathologies are commonly reported in individuals >65 years with and without cognitive impairment; however, they are increasingly recognised in younger individuals (<65 years). Mixed pathologies are thought to lower the threshold for developing cognitive impairment and dementia. Hereditary neurodegenerative diseases also show a diverse range of mixed pathologies beyond the proteinopathy primarily linked to the genetic abnormality. Cases with mixed pathologies might show a different clinical course, which has prognostic relevance and obvious implications for biomarker and therapy development, and stratifying patients for clinical trials.
Collapse
|
13
|
Yagita K, Honda H, Ohara T, Hamasaki H, Koyama S, Noguchi H, Mihara A, Nakazawa T, Hata J, Ninomiya T, Iwaki T. A Comparative Study of Site-Specific Distribution of Aging-Related Tau Astrogliopathy and Its Risk Factors Between Alzheimer Disease and Cognitive Healthy Brains: The Hisayama Study. J Neuropathol Exp Neurol 2021; 81:106-116. [PMID: 34875089 DOI: 10.1093/jnen/nlab126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Knowledge of aging-related tau astrogliopathy (ARTAG) in healthy elderly individuals remains incomplete and studies to date have not focused on the olfactory nerve, which is a vulnerable site of various neurodegenerative disease pathologies. We performed a semiquantitative evaluation of ARTAG in 110 autopsies in the Japanese general population (Hisayama study). Our analysis focused on Alzheimer disease (AD) and cognitive healthy cases (HC), including primary age-related tauopathy. Among the various diseased and nondiseased brains, ARTAG was frequently observed in the amygdala. The ARTAG of HC was exclusively limited to the amygdala whereas gray matter ARTAG in AD cases was prominent in the putamen and middle frontal gyrus following the amygdala. ARTAG of the olfactory nerve mainly consists of subpial pathology that was milder in the amygdala. A logistic regression analysis revealed that age at death and neurofibrillary tangle Braak stage significantly affected the ARTAG of HC. In AD, age at death and male gender had significant effects on ARTAG. In addition, the Thal phase significantly affected the presence of white matter ARTAG. In conclusion, our research revealed differences in the distribution of ARTAG and affected variables across AD and HC individuals.
Collapse
Affiliation(s)
- Kaoru Yagita
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Hiroyuki Honda
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Tomoyuki Ohara
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Hideomi Hamasaki
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Sachiko Koyama
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Hideko Noguchi
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Akane Mihara
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Taro Nakazawa
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Jun Hata
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Toshiharu Ninomiya
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| | - Toru Iwaki
- From the Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (KY, HHo, HHa, SK, HN, TI); Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa); Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (TO, AM, TNa, JH, TNi); Department of Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH, TNi); and Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (JH)
| |
Collapse
|
14
|
Kawakatsu S, Kobayashi R, Hayashi H, Morioka D, Utsunomiya A, Kabasawa T, Ohe R, Otani K. Clinicopathological heterogeneity of Alzheimer's disease with pure Alzheimer's disease pathology: Cases associated with dementia with Lewy bodies, very early-onset dementia, and primary progressive aphasia. Neuropathology 2021; 41:427-449. [PMID: 34816507 DOI: 10.1111/neup.12765] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 05/05/2021] [Accepted: 05/28/2021] [Indexed: 12/31/2022]
Abstract
We report four cases depicting the heterogeneity of Alzheimer's disease (AD) associated with pure AD pathology. Case 1 was a 77-year-old man with a false positive diagnosis of dementia with Lewy bodies with reduced dopamine transporter uptake activity of the striatum but no Lewy body pathology. There were tau deposits in the large neurons in the putamen, which may be related to the development of parkinsonism. Case 2 was an AD patient in his early 30s who presented with a psychotic episode and a cognitive decline, and later developed myoclonus and seizures. He demonstrated considerable amyloid-beta deposits in the cerebral cortex, including cotton wool plaques, basal ganglia, and cerebellum. Tau deposits were also abundant in the cerebral neocortex, hippocampus, basal ganglia, and brain stem. Case 3 was a 60-year-old woman who exhibited typical symptoms characteristic of the logopenic variant of primary progressive aphasia (lvPPA). Case 4 was a 68-year-old man who exhibited the semantic variant of primary progressive aphasia (svPPA) plus repetition impairment, a rare case associated with AD pathology. In addition to tau pathology, astrocytic pathology was prominent in the white matter and cortical layers of the left temporoparietal cortices. While the main AD lesion in case 4 was evaluated by tau accumulation and astrogliosis in the left temporal lobe, that in case 3 in was evaluated by the same points in the left parietal lobe. Within the spectrum of lvPPA, case 4 may be regarded as a temporal variant of lvPPA presenting svPPA. The pathology of PPA associated with AD may have broader clinical manifestations than that in previously described cases. Case 4 also showed pathological features characteristic of cerebral amyloid angiopathy throughout the cerebral cortex. The distribution of tau and astrocytic pathologies in the cerebral cortex, basal ganglia, brain stem, and cerebellum may explain the various symptoms of atypical pure AD patients.
Collapse
Affiliation(s)
- Shinobu Kawakatsu
- Department of Neuropsychiatry, Aizu Medical Center, Fukushima Medical University, Fukushima, Japan
| | - Ryota Kobayashi
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| | - Hiroshi Hayashi
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| | - Daichi Morioka
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| | - Aya Utsunomiya
- Department of Pathology, Yamagata University School of Medicine, Yamagata, Japan
| | - Takanobu Kabasawa
- Department of Pathology, Yamagata University School of Medicine, Yamagata, Japan
| | - Rintaro Ohe
- Department of Pathology, Yamagata University School of Medicine, Yamagata, Japan
| | - Koichi Otani
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| |
Collapse
|
15
|
Martersteck A, Sridhar J, Coventry C, Weintraub S, Mesulam MM, Rogalski E. Relationships among tau burden, atrophy, age, and naming in the aphasic variant of Alzheimer's disease. Alzheimers Dement 2021; 17:1788-1797. [PMID: 34494711 DOI: 10.1002/alz.12445] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 07/12/2021] [Accepted: 07/14/2021] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Examination of pathologic, anatomic, and cognitive relationships has been limited in primary progressive aphasia (PPA) with underlying Alzheimer's disease (AD) neuropathology. METHODS Spatial relationships between tau positron emission tomography (PET), cortical thickness, age, and naming on the Boston Naming Test (BNT) in PPA with biomarker evidence of AD (PPA-AD) were examined. RESULTS Higher tau PET burden was associated with atrophy and younger age. There was a significant left-lateralized relationship between lower BNT and more atrophy, and between lower BNT and increased tau burden. Variance in naming was primarily shared between tau and atrophy (51%), but naming was uniquely explained more by atrophy (32%) than tau (16%). Higher left anterior temporal tau burden was associated with greater 1-year rate of decline in naming. DISCUSSION PPA-AD has a similar relationship between abnormal biomarkers as first described in amnestic AD, with differing spatial extent, reflecting the left-lateralized nature of the language network.
Collapse
Affiliation(s)
- Adam Martersteck
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Radiology, Chicago, Illinois, USA
| | - Jaiashre Sridhar
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA
| | - Christina Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, Chicago, Illinois, USA
| | - M-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Neurology, Chicago, Illinois, USA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University (NU) Feinberg School of Medicine, Chicago, Illinois, USA.,NU Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, Chicago, Illinois, USA
| |
Collapse
|
16
|
McCann H, Durand B, Shepherd CE. Aging-Related Tau Astrogliopathy in Aging and Neurodegeneration. Brain Sci 2021; 11:brainsci11070927. [PMID: 34356161 PMCID: PMC8306417 DOI: 10.3390/brainsci11070927] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/06/2021] [Accepted: 07/07/2021] [Indexed: 12/12/2022] Open
Abstract
Astrocytes are of vital importance to neuronal function and the health of the central nervous system (CNS), and astrocytic dysfunction as a primary or secondary event may predispose to neurodegeneration. Until recently, the main astrocytic tauopathies were the frontotemporal lobar degeneration with tau (FTLD-tau) group of disorders; however, aging-related tau astrogliopathy (ARTAG) has now been defined. This condition is a self-describing neuropathology mainly found in individuals over 60 years of age. Astrocytic tau accumulates with a thorny or granular/fuzzy morphology and is commonly found in normal aging as well as coexisting with diverse neurodegenerative disorders. However, there are still many unknown factors associated with ARTAG, including the cause/s, the progression, and the nature of any clinical associations. In addition to FTLD-tau, ARTAG has recently been associated with chronic traumatic encephalopathy (CTE), where it has been proposed as a potential precursor to these conditions, with the different ARTAG morphological subtypes perhaps having separate etiologies. This is an emerging area of exciting research that encompasses complex neurobiological and clinicopathological investigation.
Collapse
Affiliation(s)
- Heather McCann
- Neuroscience Research Australia, Barker Street, Sydney, NSW 2031, Australia; (H.M.); (B.D.)
| | - Briony Durand
- Neuroscience Research Australia, Barker Street, Sydney, NSW 2031, Australia; (H.M.); (B.D.)
| | - Claire E. Shepherd
- Neuroscience Research Australia, Barker Street, Sydney, NSW 2031, Australia; (H.M.); (B.D.)
- Department of Pathology, The University of New South Wales, Kensington, Sydney, NSW 2031, Australia
- Correspondence:
| |
Collapse
|
17
|
Li P, Wu Q, Li X, Hu B, Wen W, Xu S. Shenqi Yizhi Granule attenuates Aβ 1-42 induced cognitive dysfunction via inhibiting JAK2/STAT3 activated astrocyte reactivity. Exp Gerontol 2021; 151:111400. [PMID: 33974937 DOI: 10.1016/j.exger.2021.111400] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 03/29/2021] [Accepted: 05/05/2021] [Indexed: 01/23/2023]
Abstract
Shenqi Yizhi Granule (SYG), a modern preparation herbs based on the theory of traditional Chinese medicine, has been proved to be effective against Alzheimer's disease in clinical trials, APP/PS1 mice and 5XFAD transgenic mice. But the underlying mechanism remains ambiguous. Increasing evidence supports the crucial role of astrocyte reactivity in the pathogenesis of Alzheimer's disease (AD). In the present study, we attempt to explore the underlying mechanisms of SYG from astrocyte reactivity in Aβ1-42-induced rat model of Alzheimer's disease. After SYG treatment, the impairment of learning and memory induced by Aβ1-42 was significantly improved and the hippocampal neuron damages were alleviated. Additionally, the activity of glutamine synthetase and the concentration of glutamate, which might be involved in the cognitive dysfunctions, were outstandingly reduced. Meanwhile, the astrocyte reactivity was also remarkably inhibited. The expressions of JAK2 and STAT3, key proteins in the JAK2/STAT3 signaling pathway that is tightly associated with reactive astrocytes, were clearly attenuated, too. Collectively, our data demonstrate that SYG might exert protective effects on cognitive impairment induced by amyloid-β oligomers via inhibition of astrocyte reactivity regulated by the JAK2/STAT3 signaling pathway. It may be a potential therapeutic for cognitive dysfunctions in many neurological and psychiatric disorders such as Alzheimer's disease.
Collapse
Affiliation(s)
- Ping Li
- Institute of Meterial Medica Integration and Transformation for Brain Disorders, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China
| | - Qian Wu
- Institute of Meterial Medica Integration and Transformation for Brain Disorders, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China
| | - Xiaoqiong Li
- Institute of Meterial Medica Integration and Transformation for Brain Disorders, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China
| | - Bangyan Hu
- Institute of Meterial Medica Integration and Transformation for Brain Disorders, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China
| | - Wen Wen
- Institute of Meterial Medica Integration and Transformation for Brain Disorders, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China
| | - Shijun Xu
- Institute of Meterial Medica Integration and Transformation for Brain Disorders, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, PR China.
| |
Collapse
|
18
|
Ikeda M, Kodaira S, Kasahara H, Takai E, Nagashima K, Fujita Y, Makioka K, Hirayanagi K, Furuta N, Furuta M, Sanada E, Kobayashi A, Harigaya Y, Nagamine S, Hattori N, Tashiro Y, Kishi K, Shimada H, Suto T, Tanaka H, Sakai Y, Yamazaki T, Tanaka Y, Aihara Y, Amari M, Yamaguchi H, Okamoto K, Takatama M, Ishii K, Higuchi T, Tsushima Y, Ikeda Y. Cerebral Microbleeds, Cerebrospinal Fluid, and Neuroimaging Markers in Clinical Subtypes of Alzheimer's Disease. Front Neurol 2021; 12:543866. [PMID: 33889121 PMCID: PMC8056016 DOI: 10.3389/fneur.2021.543866] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 02/26/2021] [Indexed: 12/12/2022] Open
Abstract
Lobar cerebral microbleeds (CMBs) in Alzheimer's disease (AD) are associated with cerebral amyloid angiopathy (CAA) due to vascular amyloid beta (Aβ) deposits. However, the relationship between lobar CMBs and clinical subtypes of AD remains unknown. Here, we enrolled patients with early- and late-onset amnestic dominant AD, logopenic variant of primary progressive aphasia (lvPPA) and posterior cortical atrophy (PCA) who were compatible with the AD criteria. We then examined the levels of cerebrospinal fluid (CSF) biomarkers [Aβ1-42, Aβ1-40, Aβ1-38, phosphorylated tau 181 (P-Tau), total tau (T-Tau), neurofilament light chain (NFL), and chitinase 3-like 1 protein (YKL-40)], analyzed the number and localization of CMBs, and measured the cerebral blood flow (CBF) volume by 99mTc-ethyl cysteinate dimer single photon emission computerized tomography (99mTc ECD-SPECT), as well as the mean cortical standard uptake value ratio by 11C-labeled Pittsburgh Compound B-positron emission tomography (11C PiB-PET). Lobar CMBs in lvPPA were distributed in the temporal, frontal, and parietal lobes with the left side predominance, while the CBF volume in lvPPA significantly decreased in the left temporal area, where the number of lobar CMBs and the CBF volumes showed a significant inversely correlation. The CSF levels of NFL in lvPPA were significantly higher compared to the other AD subtypes and non-demented subjects. The numbers of lobar CMBs significantly increased the CSF levels of NFL in the total AD patients, additionally, among AD subtypes, the CSF levels of NFL in lvPPA predominantly were higher by increasing number of lobar CMBs. On the other hand, the CSF levels of Aβ1-38, Aβ1-40, Aβ1-42, P-Tau, and T-Tau were lower by increasing number of lobar CMBs in the total AD patients. These findings may suggest that aberrant brain hypoperfusion in lvPPA was derived from the brain atrophy due to neurodegeneration, and possibly may involve the aberrant microcirculation causing by lobar CMBs and cerebrovascular injuries, with the left side dominance, consequently leading to a clinical phenotype of logopenic variant.
Collapse
Affiliation(s)
- Masaki Ikeda
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan.,Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan.,Division of Common Education (Neurology), Faculty of Health and Medical Care, Saitama Medical University, Hidaka, Japan
| | - Sayaka Kodaira
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hiroo Kasahara
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Eriko Takai
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Kazuaki Nagashima
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yukio Fujita
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Kouki Makioka
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Kimitoshi Hirayanagi
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Natsumi Furuta
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Minori Furuta
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Etsuko Sanada
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Ayumi Kobayashi
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yasuo Harigaya
- Department of Neurology, Maebashi Red Cross Hospital, Maebashi, Japan
| | - Shun Nagamine
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Noriaki Hattori
- Department of Neuropsychiatry, Jomo Hospital, Maebashi, Japan
| | - Yuichi Tashiro
- Department of Neurology, Mito Medical Center, Mito, Japan
| | - Kazuhiro Kishi
- Department of Radiology, Gunma University Hospital, Maebashi, Japan
| | - Hirotaka Shimada
- Department of Radiology, Gunma University Hospital, Maebashi, Japan
| | - Takayuki Suto
- Department of Radiology, Gunma University Hospital, Maebashi, Japan
| | - Hisashi Tanaka
- Department of Neuropsychiatry, Tanaka Hospital, Yoshioka, Japan
| | - Yasujiro Sakai
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Tsuneo Yamazaki
- Department of Occupational Therapy, Gunma University Graduate School of Health Sciences, Maebashi, Japan
| | - Yukiko Tanaka
- Department of Geriatric Medicine, Uchida Hospital, Numata, Japan
| | - Yuko Aihara
- Department of Neurology, Shinozuka Hospital, Fujioka, Japan
| | - Masakuni Amari
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Haruyasu Yamaguchi
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan.,Tokyo Center for Dementia Research and Practices, Tokyo, Japan
| | - Koichi Okamoto
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Masamitsu Takatama
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Kenji Ishii
- Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Tetsuya Higuchi
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yoshito Tsushima
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yoshio Ikeda
- Department of Neurology, Gunma University Graduate School of Medicine, Maebashi, Japan
| |
Collapse
|
19
|
Bachstetter AD, Garrett FG, Jicha GA, Nelson PT. Space-occupying brain lesions, trauma-related tau astrogliopathy, and ARTAG: a report of two cases and a literature review. Acta Neuropathol Commun 2021; 9:49. [PMID: 33757579 PMCID: PMC7986305 DOI: 10.1186/s40478-021-01152-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 03/08/2021] [Indexed: 12/14/2022] Open
Abstract
Astrocytes with intracellular accumulations of misfolded phosphorylated tau protein have been observed in advanced-stage chronic traumatic encephalopathy (CTE) and in other neurodegenerative conditions. There is a growing awareness that astrocytic tau inclusions are also relatively common in the brains of persons over 70 years of age-affecting approximately one-third of autopsied individuals. The pathologic hallmarks of aging-related tau astrogliopathy (ARTAG) include phosphorylated tau protein within thorn-shaped astrocytes (TSA) in subpial, subependymal, perivascular, and white matter regions, whereas granular-fuzzy astrocytes are often seen in gray matter. CTE and ARTAG share molecular and histopathologic characteristics, suggesting that trauma-related mechanism(s) may predispose to the development of tau astrogliopathy. There are presently few experimental systems to study the pathobiology of astrocytic-tau aggregation, but human studies have made recent progress. For example, leucotomy (also referred to as lobotomy) is associated with a localized ARTAG-like neuropathology decades after the surgical brain injury, suggesting that chronic brain injury of any type may predispose to later life ARTAG. To examine this idea in a different context, we report clinical and pathologic features of two middle-aged men who came to autopsy with large (> 6 cm in greatest dimension) arachnoid cysts that had physically displaced and injured the subjects' left temporal lobes through chronic mechanical stress. Despite the similarity of the size and location of the arachnoid cysts, these individuals had dissimilar neurologic outcomes and neuropathologic findings. We review the evidence for ARTAG in response to brain injury, and discuss how the location and molecular properties of astroglial tau inclusions might alter the physiology of resident astrocytes. These cases and literature review point toward possible mechanism(s) of tau aggregation in astrocytes in response to chronic brain trauma.
Collapse
Affiliation(s)
- Adam D Bachstetter
- Spinal Cord and Brain Injury Research Center, University of Kentucky, 741 S. Limestone St., Lexington, KY, 40536, USA.
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA.
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
| | - Filip G Garrett
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Pathology and Laboratory Medicine, 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
| | - 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
| |
Collapse
|
20
|
Spina S, La Joie R, Petersen C, Nolan AL, Cuevas D, Cosme C, Hepker M, Hwang JH, Miller ZA, Huang EJ, Karydas AM, Grant H, Boxer AL, Gorno-Tempini ML, Rosen HJ, Kramer JH, Miller BL, Seeley WW, Rabinovici GD, Grinberg LT. Comorbid neuropathological diagnoses in early versus late-onset Alzheimer's disease. Brain 2021; 144:2186-2198. [PMID: 33693619 DOI: 10.1093/brain/awab099] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/21/2020] [Accepted: 01/03/2021] [Indexed: 12/14/2022] Open
Abstract
Copathologies play an important role in the expression of the AD clinical phenotype and may influence treatment efficacy. Early-onset AD (EOAD), defined as manifesting before age 65, is viewed as a relatively pure form of AD with a more homogeneous neuropathological substrate. We sought to compare the frequency of common neuropathological diagnoses in a consecutive autopsy series of 96 patients with EOAD (median age of onset = 55 years, 44 females) and 48 with late-onset AD (LOAD) (median age of onset = 73 years, 14 females). The UCSF Neurodegenerative Disease Brain Bank database was reviewed to identify patients with a primary pathological diagnosis of AD. Prevalence and stage of Lewy body disease (LBD), limbic age-related TDP-43 encephalopathy (LATE), argyrophilic grain disease (AGD), hippocampal sclerosis (HS), cerebral amyloid angiopathy (CAA), and vascular brain injury (VBI) were compared between the two cohorts. We found at least one non-AD pathological diagnosis in 98% of patients with EOAD (versus 100% of LOAD), and the number of comorbid diagnoses per patient was lower in EOAD than in LOAD (median=2 versus 3, Mann-Whitney Z = 3.00, p = 0.002). LBD and CAA were common in both EOAD and LOAD (CAA: 86% versus 79%, Fisher exact p = 0.33; LBD: 49% versus 42%, p = 0.48, respectively), although amygdala-predominant LBD was more commonly found in EOAD than LOAD (22% versus 6%, p = 0.02). In contrast, LATE (35% versus 8%, p < 0.001), HS (15% versus 3%, p = 0.02), AGD (58% versus 41%, p = 0.052), and VBI (65% versus 39%, p = 0.004) were more common in LOAD than EOAD, respectively. The number of copathologies predicted worse cognitive performance at the time of death on MMSE (1.4 points/pathology (95%CI [-2.5, -0.2]) and Clinical Dementia Rating - Sum of Boxes (1.15 point/pathology, 95%CI [0.45, 1.84]), across the EOAD and the LOAD cohorts. The effect of sex on the number of copathologies was not significant (p = 0.17). Prevalence of at least one APOE ε4 allele was similar across the two cohorts (52% and 54%) and was associated with a greater number of copathologies (+0.40, 95%CI [0.01, 0.79], p = 0.047), independent of age of symptom onset, sex, and disease duration. Females showed higher density of neurofibrillary tangles compared to men, controlling for age of onset, APOE ε4, and disease duration. Our findings suggest that non-AD pathological diagnoses play an important role in the clinical phenotype of EOAD with potentially significant implications for clinical practice and clinical trials design.
Collapse
Affiliation(s)
- Salvatore Spina
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Cathrine Petersen
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Amber L Nolan
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Deion Cuevas
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Celica Cosme
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mackenzie Hepker
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Ji-Hye Hwang
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Zachary A Miller
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Eric J Huang
- Department of Pathology; University of California, San Francisco, San Francisco, CA, USA
| | - Anna M Karydas
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Harli Grant
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Adam L Boxer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Department of Pathology; University of California, San Francisco, San Francisco, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Department of Radiology and Biomedical Imaging; University of California, San Francisco, San Francisco, CA, USA
| | - Lea T Grinberg
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Department of Pathology; University of California, San Francisco, San Francisco, CA, USA
| |
Collapse
|
21
|
Graff-Radford J, Yong KXX, Apostolova LG, Bouwman FH, Carrillo M, Dickerson BC, Rabinovici GD, Schott JM, Jones DT, Murray ME. New insights into atypical Alzheimer's disease in the era of biomarkers. Lancet Neurol 2021; 20:222-234. [PMID: 33609479 PMCID: PMC8056394 DOI: 10.1016/s1474-4422(20)30440-3] [Citation(s) in RCA: 264] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 11/09/2020] [Accepted: 11/10/2020] [Indexed: 12/12/2022]
Abstract
Most patients with Alzheimer's disease present with amnestic problems; however, a substantial proportion, over-represented in young-onset cases, have atypical phenotypes including predominant visual, language, executive, behavioural, or motor dysfunction. In the past, these individuals often received a late diagnosis; however, availability of CSF and PET biomarkers of Alzheimer's disease pathologies and incorporation of atypical forms of Alzheimer's disease into new diagnostic criteria increasingly allows them to be more confidently diagnosed early in their illness. This early diagnosis in turn allows patients to be offered tailored information, appropriate care and support, and individualised treatment plans. These advances will provide improved access to clinical trials, which often exclude atypical phenotypes. Research into atypical Alzheimer's disease has revealed previously unrecognised neuropathological heterogeneity across the Alzheimer's disease spectrum. Neuroimaging, genetic, biomarker, and basic science studies are providing key insights into the factors that might drive selective vulnerability of differing brain networks, with potential mechanistic implications for understanding typical late-onset Alzheimer's disease.
Collapse
Affiliation(s)
| | - Keir X. X. Yong
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Liana G. Apostolova
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Femke H. Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam University Medical Center
| | | | - Bradford C. Dickerson
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Gil D. Rabinovici
- Departments of Neurology, Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jonathan M. Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - David T. Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | |
Collapse
|
22
|
Sood A, Pavlik V, Darby E, Chan W, Doody R. Different Cognitive Profiles Are Associated with Progression Rate and Age at Death in Probable Alzheimer's Disease. J Alzheimers Dis 2021; 80:735-747. [PMID: 33579838 DOI: 10.3233/jad-201124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cognitive profiles characterized by primarily language or visuospatial deficits have been documented in individuals meeting diagnostic criteria for probable Alzheimer's disease (AD), but their association with progression rate or overall survival is not well described. OBJECTIVE To compare time from diagnosis to severe disease stage and death in probable AD patients classified into three groups based on neuropsychological test performance: marked verbal impairment (Verb-PI) with relatively preserved visuospatial function, marked visuospatial impairment with preserved verbal function (Vis-PI), and balanced verbal and visuospatial impairments (Bal-PI). METHODS This prospective cohort study included 540 probable AD patients attending an academic memory clinic who were enrolled from 1995-2013 and followed annually. Eligible individuals had a Mini-Mental State Exam (MMSE) score ≥10 at baseline, and at least one annual follow up visit. We used Cox proportional hazards modeling to analyze the association of cognitive profiles with time to decline in MMSE and CDR Global Score. RESULTS Sixty-one (11.3%) individuals had a Verb-PI profile, 86 (16%) had a Vis-PI profile, and 393 (72.8%) a Bal-PI profile. MMSE decline to <10 was faster in Verb-PI than Vis-PI (HR 2.004, 95%CI, 1.062-3.780; p = 0.032). Progression to CDR-GS = 3 was faster in Verb-PI individuals compared to Bal-PI (HR 1.604, 95%CI, 1.022-2.515; p = 0.040) or Vis-PI (HR 2.388, 95%CI, 1.330-4.288; p = 0.004) individuals. Baseline cognitive profile did not affect mortality. CONCLUSION A recognition of different AD profiles may help to personalize care by providing a better understanding of pathogenesis and expected progression.
Collapse
Affiliation(s)
- Ajay Sood
- Rush Alzheimer's Disease Center (RADC), Rush University Medical Center, Chicago, IL, USA
| | - Valory Pavlik
- Department of Neurology and Alzheimer's Disease and Memory Disorders Center, Baylor College of Medicine, Houston, TX, USA
| | - Eveleen Darby
- Department of Neurology and Alzheimer's Disease and Memory Disorders Center, Baylor College of Medicine, Houston, TX, USA
| | - Wenyaw Chan
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rachelle Doody
- Genentech, San Francisco, CA, USA.,Hoffmann-La Roche, Basel, Switzerland
| |
Collapse
|
23
|
Klotz S, Fischer P, Hinterberger M, Ricken G, Hönigschnabl S, Gelpi E, Kovacs GG. Multiple system aging-related tau astrogliopathy with complex proteinopathy in an oligosymptomatic octogenarian. Neuropathology 2020; 41:72-83. [PMID: 33263220 PMCID: PMC7984345 DOI: 10.1111/neup.12708] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/06/2020] [Accepted: 08/30/2020] [Indexed: 12/14/2022]
Abstract
The combination of multiple neurodegenerative proteinopathies is increasingly recognized. Together they can potentiate neuronal dysfunction and contribute to complex neurological symptoms. We report an octogenarian female case of multiple extraneural metastases of a rectal carcinoma. She attempted suicide, which ultimately led to cardiorespiratory failure nine days after hospital admission. Apart from the suicide attempt and late-onset depression, other psychiatric or neurological symptoms were not reported. Unexpectedly, histopathologic examination revealed prominent aging-related tau astrogliopathy (ARTAG) of all five types (subpial, subependymal, grey and white matter, and perivascular) affecting cortical and subcortical brain regions. This pathology was associated with intermediate Alzheimer's disease neuropathologic change (A2B2C2 score), cerebral amyloid angiopathy, Lewy body-type α-synuclein proteinopathy (Braak stage 4), and a multiple system transactivation response DNA-binding protein of 43 kDa (TDP-43) proteinopathy also involving the astroglia. In summary, we report a complex and extensive combination of multiple proteinopathies with widespread ARTAG of all five types in a patient who had attempted suicide. Although longitudinal psychometric tests and neuropsychological evaluations were not performed, this report poses the question of thresholds of cognition and pathology load, describes ARTAG affecting unusually widespread brain regions, and supports the notion that complex proteinopathies should be regarded as a frequent condition in the elderly.
Collapse
Affiliation(s)
- Sigrid Klotz
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Peter Fischer
- Department of Psychiatry, Medical Research Society Vienna D.C., Danube Hospital Vienna, Vienna, Austria
| | - Margareta Hinterberger
- Department of Psychiatry, Medical Research Society Vienna D.C., Danube Hospital Vienna, Vienna, Austria
| | - Gerda Ricken
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | | | - Ellen Gelpi
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Gabor G Kovacs
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.,Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada.,Department of Laboratory Medicine and Pathobiology and Department of Medicine, University of Toronto, Toronto, Ontario, Canada.,Laboratory Medicine Program & Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| |
Collapse
|
24
|
Abstract
Astrocytes contribute to the pathogenesis of neurodegenerative proteinopathies as influencing neuronal degeneration or neuroprotection, and also act as potential mediators of the propagation or elimination of disease-associated proteins. Protein astrogliopathies can be observed in different forms of neurodegenerative conditions. Morphological characterization of astrogliopathy is used only for the classification of tauopathies. Currently, at least six types of astrocytic tau pathologies are distinguished. Astrocytic plaques (AP), tufted astrocytes (TAs), ramified astrocytes (RA), and globular astroglial inclusions are seen predominantly in primary tauopathies, while thorn-shaped astrocytes (TSA) and granular/fuzzy astrocytes (GFA) are evaluated in aging-related tau astrogliopathy (ARTAG). ARTAG can be seen in the white and gray matter and subpial, subependymal, and perivascular locations. Some of these overlap with the features of tau pathology seen in Chronic traumatic encephalopathy (CTE). Furthermore, gray matter ARTAG shares features with primary tauopathy-related astrocytic tau pathology. Sequential distribution patterns have been described for tau astrogliopathies. Importantly, astrocytic tau pathology in primary tauopathies can be observed in brain areas without neuronal tau deposition. The various morphologies of tau astrogliopathy might reflect a role in the propagation of pathological tau protein, an early response to a yet unidentified neurodegeneration-inducing event, or, particularly for ARTAG, a response to a repeated or prolonged pathogenic process such as blood-brain barrier dysfunction or local mechanical impact. The concept of tau astrogliopathies and ARTAG facilitated communication among research disciplines and triggered the investigation of the significance of astrocytic lesions in neurodegenerative conditions.
Collapse
Affiliation(s)
- Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.,Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| |
Collapse
|