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Tsai SE, Yang SF, Wang YH, Yeh CB. Association between gabapentin use and risk of dementia in adults with chronic pain: A nested case-control study. J Affect Disord 2024; 358:205-210. [PMID: 38729220 DOI: 10.1016/j.jad.2024.05.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 05/02/2024] [Accepted: 05/03/2024] [Indexed: 05/12/2024]
Abstract
STUDY OBJECTIVE To explore the association between gabapentin use and the risk of dementia in patients with chronic pain, considering the rising concerns of dementia in an aging population and the potential cognitive impacts of chronic pain management. DESIGN A nested case-control study utilizing data from a longitudinal health insurance database. SETTING The study is based on a longitudinal health insurance database spanning 2000-2019 in Taiwan. PATIENTS A total of 201,492 patients aged 50 years and older diagnosed with chronic pain between 2001 and 2017 were included. The study focused on individuals with chronic pain, excluding those diagnosed with dementia a year before or after their chronic pain diagnosis. INTERVENTION Analysis of gabapentin prescription history was conducted, considering the cumulative dose from the chronic pain diagnosis date to the dementia diagnosis date or equivalent period for controls. MEASUREMENT Data included demographics, gabapentin prescription history, and comorbidities. Logistic regression was used to estimate odds ratios for dementia risk. MAIN RESULTS No significant difference in the risk of dementia was found between low and high cumulative doses of gabapentin. The adjusted odds ratio for dementia risk associated with gabapentin use was 0.91 (95 % C.I. 0.83-1.01), indicating no substantial increase in risk. CONCLUSION Long-term Gabapentin therapy for chronic pain is not associated with a differential risk of dementia across dosage levels, irrespective of age or gender. Further study into its potential cognitive impacts is essential.
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Affiliation(s)
- Sheng-En Tsai
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan; Department of Anesthesiology, Changhua Christian Hospital, Changhua, Taiwan
| | - Shun-Fa Yang
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan; Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Yu-Hsun Wang
- Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Chao-Bin Yeh
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan; Department of Emergency Medicine, School of Medicine, Chung Shan Medical University, Taichung, Taiwan; Department of Emergency Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan.
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Yoshida K, Hata Y, Ichimata S, Tanaka R, Nishida N. Prevalence and clinicopathological features of primary age-related tauopathy (PART): A large forensic autopsy study. Alzheimers Dement 2024. [PMID: 38938196 DOI: 10.1002/alz.14037] [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: 12/19/2023] [Revised: 04/15/2024] [Accepted: 05/06/2024] [Indexed: 06/29/2024]
Abstract
INTRODUCTION Primary age-related tauopathy (PART), often regarded as a minimally symptomatic pathology of old age, lacks comprehensive cohorts across various age groups. METHODS We examined PART prevalence and clinicopathologic features in 1589 forensic autopsy cases (≥40 years old, mean age ± SD 70.2 ± 14.2 years). RESULTS PART cases meeting criteria for argyrophilic grain diseases (AGD) were AGD+PART (n = 181). The remaining PART cases (n = 719, 45.2%) were classified as comorbid conditions (PART-C, n = 90) or no comorbid conditions (pure PART, n = 629). Compared to controls (n = 208), Alzheimer's disease (n = 133), and AGD+PART, PART prevalence peaked in the individuals in their 60s (65.5%) and declined in the 80s (21.5%). No significant clinical background differences were found (excluding controls). However, PART-C in patients inclusive of age 80 had a higher suicide rate than pure PART (p < 0.05), and AGD+PART showed more dementia (p < 0.01) and suicide (p < 0.05) than pure PART. DISCUSSION Our results advocate a reevaluation of the PART concept and its diagnostic criteria. HIGHLIGHTS We investigated 1589 forensic autopsy cases to investigate the features of primary age-related tauopathy (PART). PART peaked in people in their 60s in our study. Many PART cases over 80s had comorbid pathologies in addition to neurofibrillary tangles pathology. Argyrophilic grain disease and Lewy pathology significantly affected dementia and suicide rates in PART. Our results suggest that the diagnostic criteria of PART need to be reconsidered.
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Affiliation(s)
- Koji Yoshida
- Department of Legal Medicine, Faculty of Medicine, University of Toyama, Toyama, Japan
- Tanz Centre for Research in Neurodegenerative Disease, Krembil Discovery Tower, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology and Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Yukiko Hata
- Department of Legal Medicine, Faculty of Medicine, University of Toyama, Toyama, Japan
| | - Shojiro Ichimata
- Department of Legal Medicine, Faculty of Medicine, University of Toyama, Toyama, Japan
| | - Ryo Tanaka
- Department of Neurology, Toyama University Hospital, Toyama, Japan
| | - Naoki Nishida
- Department of Legal Medicine, Faculty of Medicine, University of Toyama, Toyama, Japan
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Flicker L. Evidence-based strategies to prevent cognitive decline in older people. Maturitas 2024; 187:108062. [PMID: 38943792 DOI: 10.1016/j.maturitas.2024.108062] [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: 02/19/2024] [Revised: 06/23/2024] [Accepted: 06/26/2024] [Indexed: 07/01/2024]
Abstract
A helpful method to understand cognitive decline in older people is to consider this entity as increasing cognitive frailty caused by a number of interacting pathological processes. Over the last 20 years, multiple lifestyle, environmental and constitutional factors have been linked to the development of cognitive decline. For two interventions based on these factors, increasing physical activity and the control of hypertension, there is class 1 evidence for benefit. Other interventions based on these factors do not have the support of high-level evidence for the alteration of cognitive decline, but their other benefits would argue for their implementation. These interventions include increasing education, smoking cessation, avoiding head injuries, decreasing exposure to air pollution and increased social connections. As cognitive decline is experienced almost universally with ageing, and serious cognitive decline is experienced by substantial numbers of low-risk individuals, whole-of-population intervention strategies are the most effective and efficient. For other interventions to help prevent cognitive decline there is not sufficient evidence for their implementation to be recommended. These include alteration of alcohol ingestion, correction of hearing loss, treatment of depression, dietary interventions, menopausal hormone treatment and monoclonal antibodies directed against amyloid-β.
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Affiliation(s)
- Leon Flicker
- Western Australian Centre for Health and Ageing, Medical School, University of Western Australia, Australia.
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4
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Jack CR, Andrews JS, Beach TG, Buracchio T, Dunn B, Graf A, Hansson O, Ho C, Jagust W, McDade E, Molinuevo JL, Okonkwo OC, Pani L, Rafii MS, Scheltens P, Siemers E, Snyder HM, Sperling R, Teunissen CE, Carrillo MC. Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup. Alzheimers Dement 2024. [PMID: 38934362 DOI: 10.1002/alz.13859] [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: 02/07/2024] [Revised: 03/21/2024] [Accepted: 04/04/2024] [Indexed: 06/28/2024]
Abstract
The National Institute on Aging and the Alzheimer's Association convened three separate work groups in 2011 and single work groups in 2012 and 2018 to create recommendations for the diagnosis and characterization of Alzheimer's disease (AD). The present document updates the 2018 research framework in response to several recent developments. Defining diseases biologically, rather than based on syndromic presentation, has long been standard in many areas of medicine (e.g., oncology), and is becoming a unifying concept common to all neurodegenerative diseases, not just AD. The present document is consistent with this principle. Our intent is to present objective criteria for diagnosis and staging AD, incorporating recent advances in biomarkers, to serve as a bridge between research and clinical care. These criteria are not intended to provide step-by-step clinical practice guidelines for clinical workflow or specific treatment protocols, but rather serve as general principles to inform diagnosis and staging of AD that reflect current science. HIGHLIGHTS: We define Alzheimer's disease (AD) to be a biological process that begins with the appearance of AD neuropathologic change (ADNPC) while people are asymptomatic. Progression of the neuropathologic burden leads to the later appearance and progression of clinical symptoms. Early-changing Core 1 biomarkers (amyloid positron emission tomography [PET], approved cerebrospinal fluid biomarkers, and accurate plasma biomarkers [especially phosphorylated tau 217]) map onto either the amyloid beta or AD tauopathy pathway; however, these reflect the presence of ADNPC more generally (i.e., both neuritic plaques and tangles). An abnormal Core 1 biomarker result is sufficient to establish a diagnosis of AD and to inform clinical decision making throughout the disease continuum. Later-changing Core 2 biomarkers (biofluid and tau PET) can provide prognostic information, and when abnormal, will increase confidence that AD is contributing to symptoms. An integrated biological and clinical staging scheme is described that accommodates the fact that common copathologies, cognitive reserve, and resistance may modify relationships between clinical and biological AD stages.
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Affiliation(s)
- Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - J Scott Andrews
- Global Evidence & Outcomes, Takeda Pharmaceuticals Company Limited, Cambridge, Massachusetts, USA
| | - Thomas G Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, Arizona, USA
| | - Teresa Buracchio
- Office of Neuroscience, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Billy Dunn
- The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA
| | - Ana Graf
- Novartis, Neuroscience Global Drug Development, Basel, Switzerland
| | - Oskar Hansson
- Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Lund, Sweden
| | - Carole Ho
- Development, Denali Therapeutics, South San Francisco, California, USA
| | - William Jagust
- School of Public Health and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California, USA
| | - Eric McDade
- Department of Neurology, Washington University St. Louis School of Medicine, St. Louis, Missouri, USA
| | - Jose Luis Molinuevo
- Department of Global Clinical Development H. Lundbeck A/S, Experimental Medicine, Copenhagen, Denmark
| | - Ozioma C Okonkwo
- Department of Medicine, Division of Geriatrics and Gerontology, University of Wisconsin School of Medicine, Madison, Wisconsin, USA
| | - Luca Pani
- University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Michael S Rafii
- Alzheimer's Therapeutic Research Institute (ATRI), Keck School of Medicine at the University of Southern California, San Diego, California, USA
| | - Philip Scheltens
- Amsterdam University Medical Center (Emeritus), Neurology, Amsterdam, the Netherlands
| | - Eric Siemers
- Clinical Research, Acumen Pharmaceuticals, Zionsville, Indiana, USA
| | - Heather M Snyder
- Medical & Scientific Relations Division, Alzheimer's Association, Chicago, Illinois, USA
| | - Reisa Sperling
- Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Charlotte E Teunissen
- Department of Laboratory Medicine, Amsterdam UMC, Neurochemistry Laboratory, Amsterdam, the Netherlands
| | - Maria C Carrillo
- Medical & Scientific Relations Division, Alzheimer's Association, Chicago, Illinois, USA
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5
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Yu L, Wang T, Hansson O, Janelidze S, Lamar M, Arfanakis K, Bennett DA, Schneider JA, Boyle PA. MRI-Derived AD Signature of Cortical Thinning and Plasma P-Tau217 for Predicting Alzheimer Dementia Among Community-Dwelling Older Adults. Neurol Clin Pract 2024; 14:e200291. [PMID: 38720951 PMCID: PMC11073883 DOI: 10.1212/cpj.0000000000200291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/25/2024] [Indexed: 05/12/2024]
Abstract
Background and Objectives Structural brain MRI and blood-based phosphorylated tau (p-tau) measures are among the least invasive and least expensive Alzheimer's disease (AD) biomarkers to date. The extent to which these biomarkers may outperform one another in predicting future Alzheimer dementia diagnosis is poorly understood, however. This study investigated 2 specific AD biomarkers, i.e., a cortical thickness signature of AD (AD-CT) and plasma p-tau217, for predicting Alzheimer dementia. Methods Data came from community-dwelling older participants of the Religious Orders Study or the Rush Memory and Aging Project. AD-CT was obtained from 3T MRI scans using a magnetization-prepared rapid acquisition gradient echo sequence and by averaging thickness from previously identified cortical regions implicated in AD. Plasma p-tau217 was quantified using an immunoassay developed by Lilly Research Laboratories on the MSD platform. Both MRI scans and blood specimens were collected at the same visits, and subsequent diagnoses of Alzheimer dementia were determined through annual detailed clinical evaluations. Cox proportional hazards models examined the associations of the 2 biomarkers with incident Alzheimer dementia, and prediction accuracy was assessed using c-statistics. Results A total of 198 older adults, on average 84 years of age, were included. Over a mean follow-up of 4 years, 60 (30%) individuals developed Alzheimer dementia. AD-CT (hazard ratio: 1.71, 95% CI 1.26-2.31) and separately plasma p-tau217 (hazard ratio: 2.57, 95% CI 1.83-3.61) were associated with incident Alzheimer dementia. The c-statistic for prediction accuracy was consistently higher for plasma p-tau217 (between 0.74 and 0.81) than AD-CT (between 0.70 and 0.75) across a range of time horizons. Furthermore, with both biomarkers included in the same model, there was only modest improvement in the c-statistic due to AD-CT. Discussion Plasma p-tau217 outperforms an imaging-based cortical thickness signature of AD in predicting future Alzheimer dementia diagnosis. Furthermore, the AD cortical thickness signature adds little to the prediction accuracy above and beyond plasma p-tau217.
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Affiliation(s)
- Lei Yu
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Tianhao Wang
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Oskar Hansson
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Shorena Janelidze
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Melissa Lamar
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - David A Bennett
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Julie A Schneider
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Patricia A Boyle
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
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Vos SJB, Delvenne A, Jack CR, Thal DR, Visser PJ. The clinical importance of suspected non-Alzheimer disease pathophysiology. Nat Rev Neurol 2024; 20:337-346. [PMID: 38724589 DOI: 10.1038/s41582-024-00962-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2024] [Indexed: 06/06/2024]
Abstract
The development of biomarkers for Alzheimer disease (AD) has led to the origin of suspected non-AD pathophysiology (SNAP) - a heterogeneous biomarker-based concept that describes individuals with normal amyloid and abnormal tau and/or neurodegeneration biomarker status. In this Review, we describe the origins of the SNAP construct, along with its prevalence, diagnostic and prognostic implications, and underlying neuropathology. As we discuss, SNAP can be operationalized using different biomarker modalities, which could affect prevalence estimates and reported characteristics of SNAP in ways that are not yet fully understood. Moreover, the underlying aetiologies that lead to a SNAP biomarker profile, and whether SNAP is the same in people with and without cognitive impairment, remains unclear. Improved insight into the clinical characteristics and pathophysiology of SNAP is of major importance for research and clinical practice, as well as for trial design to optimize care and treatment of individuals with SNAP.
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Affiliation(s)
- Stephanie J B Vos
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands.
| | - Aurore Delvenne
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Dietmar R Thal
- Laboratory for Neuropathology, Department of Imaging and Pathology and Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospital Leuven, Leuven, Belgium
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
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Ter Telgte A, Duering M. Cerebral Small Vessel Disease: Advancing Knowledge With Neuroimaging. Stroke 2024; 55:1686-1688. [PMID: 38328947 DOI: 10.1161/strokeaha.123.044294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Affiliation(s)
- Annemieke Ter Telgte
- VASCage-Center on Clinical Stroke Research, Innsbruck, Austria (A.t.T.)
- Department of Neurology, Medical University of Innsbruck, Austria (A.t.T.)
| | - Marco Duering
- Institute for Stroke and Dementia Research, LMU University Hospital, Munich, Germany (M.D.)
- Medical Image Analysis Center and Department of Biomedical Engineering, University of Basel, Switzerland (M.D.)
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8
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Duodu PA, Dey NEY, Okyere J, Simkhada B, Barker C, Gillibrand W, Simkhada P. Gendered differences in the prevalence and associated factors of dementia in Ghana: a cross-sectional survey. BMC Psychiatry 2024; 24:397. [PMID: 38802813 PMCID: PMC11131303 DOI: 10.1186/s12888-024-05856-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 05/17/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Dementia as a global phenomenon has received significant attention in research due to the adverse effects it has on the daily functioning of its victims. Despite studies conducted in relation to the prevalence and associated factors of dementia in Ghana, not much attention has been paid to the influence of gender. The study, therefore, focused on estimating gender differences in the prevalence and associated factors of dementia in the Ashanti Region of Ghana. METHODS This study adopted a cross-sectional design with surveys to recruit 800 participants who were 45 years or older. The data was obtained using the standardized Rowland Universal Dementia Assessment Scale (RUDAS) together with information on the various associated factors. A series of logistic models comprising of the total sample model, male sample model, and female sample model were estimated to analyse the data. All data analyses were completed in Stata version 14. RESULTS The overall prevalence of dementia was 23.38% [95% CI:20.44, 26.31]. More females 24.56% [95% CI:20.81, 28.31] compared to males 21.31% [95% CI:16.57, 26.04] were at risk of dementia. Younger age, attaining formal education, and belonging to richer households were negatively associated with the risk of dementia. In the total sample model, younger age and attaining formal education were negatively associated with dementia risk. In the male-female stratified models, education and household wealth index were negatively associated with dementia risk in the male sample while age and education were negatively related to dementia risk in the female sample. CONCLUSION The study concludes that there are gendered differences in the prevalence and factors associated with the risk of dementia in Ghana. As such, interventions and programmes to identify dementia cases must be gender sensitive. Specifically, when addressing dementia risk in males, interventions should be directed towards those with lower wealth status. Likewise, when developing programmes to mitigate dementia risk in women, particular attention should be given to women in the oldest age category.
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Grants
- HHS013-01 Strategic Research Investment Seed Funding, School of Human and Health Sciences, University of Huddersfield
- HHS013-01 Strategic Research Investment Seed Funding, School of Human and Health Sciences, University of Huddersfield
- HHS013-01 Strategic Research Investment Seed Funding, School of Human and Health Sciences, University of Huddersfield
- HHS013-01 Strategic Research Investment Seed Funding, School of Human and Health Sciences, University of Huddersfield
- HHS013-01 Strategic Research Investment Seed Funding, School of Human and Health Sciences, University of Huddersfield
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Affiliation(s)
- Precious Adade Duodu
- Department of Nursing, School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, England, UK
| | | | - Joshua Okyere
- Department of Population and Health, University of Cape Coast, Cape Coast, Ghana.
- School of Nursing and Midwifery, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
| | - Bibha Simkhada
- Department of Nursing, School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, England, UK
| | - Caroline Barker
- Department of Nursing, School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, England, UK
| | - Warren Gillibrand
- Department of Nursing, School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, England, UK
| | - Padam Simkhada
- School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, England, UK
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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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10
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Hu Y, Zhang F, Ikonomovic M, Yang T. The Role of NRF2 in Cerebrovascular Protection: Implications for Vascular Cognitive Impairment and Dementia (VCID). Int J Mol Sci 2024; 25:3833. [PMID: 38612642 PMCID: PMC11012233 DOI: 10.3390/ijms25073833] [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: 02/03/2024] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
Vascular cognitive impairment and dementia (VCID) represents a broad spectrum of cognitive decline secondary to cerebral vascular aging and injury. It is the second most common type of dementia, and the prevalence continues to increase. Nuclear factor erythroid 2-related factor 2 (NRF2) is enriched in the cerebral vasculature and has diverse roles in metabolic balance, mitochondrial stabilization, redox balance, and anti-inflammation. In this review, we first briefly introduce cerebrovascular aging in VCID and the NRF2 pathway. We then extensively discuss the effects of NRF2 activation in cerebrovascular components such as endothelial cells, vascular smooth muscle cells, pericytes, and perivascular macrophages. Finally, we summarize the clinical potential of NRF2 activators in VCID.
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Affiliation(s)
- Yizhou Hu
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA 15216, USA
- Department of Internal Medicine, University of Pittsburgh Medical Center (UPMC) McKeesport, McKeesport, PA 15132, USA
| | - Feng Zhang
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA 15216, USA
| | - Milos Ikonomovic
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15216, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA 15240, USA
| | - Tuo Yang
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA 15216, USA
- Department of Internal Medicine, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA 15216, USA
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11
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Mayer G, Frohnhofen H, Jokisch M, Hermann DM, Gronewold J. Associations of sleep disorders with all-cause MCI/dementia and different types of dementia - clinical evidence, potential pathomechanisms and treatment options: A narrative review. Front Neurosci 2024; 18:1372326. [PMID: 38586191 PMCID: PMC10995403 DOI: 10.3389/fnins.2024.1372326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/11/2024] [Indexed: 04/09/2024] Open
Abstract
Due to worldwide demographic change, the number of older persons in the population is increasing. Aging is accompanied by changes of sleep structure, deposition of beta-amyloid (Aß) and tau proteins and vascular changes and can turn into mild cognitive impairment (MCI) as well as dementia. Sleep disorders are discussed both as a risk factor for and as a consequence of MCI/dementia. Cross-sectional and longitudinal population-based as well as case-control studies revealed sleep disorders, especially sleep-disorderded breathing (SDB) and excessive or insufficient sleep durations, as risk factors for all-cause MCI/dementia. Regarding different dementia types, SDB was especially associated with vascular dementia while insomnia/insufficient sleep was related to an increased risk of Alzheimer's disease (AD). Scarce and still inconsistent evidence suggests that therapy of sleep disorders, especially continuous positive airway pressure (CPAP) in SDB, can improve cognition in patients with sleep disorders with and without comorbid dementia and delay onset of MCI/dementia in patients with sleep disorders without previous cognitive impairment. Regarding potential pathomechanisms via which sleep disorders lead to MCI/dementia, disturbed sleep, chronic sleep deficit and SDB can impair glymphatic clearance of beta-amyloid (Aß) and tau which lead to amyloid deposition and tau aggregation resulting in changes of brain structures responsible for cognition. Orexins are discussed to modulate sleep and Aß pathology. Their diurnal fluctuation is suppressed by sleep fragmentation and the expression suppressed at the point of hippocampal atrophy, contributing to the progression of dementia. Additionally, sleep disorders can lead to an increased vascular risk profile and vascular changes such as inflammation, endothelial dysfunction and atherosclerosis which can foster neurodegenerative pathology. There is ample evidence indicating that changes of sleep structure in aging persons can lead to dementia and also evidence that therapy of sleep disorder can improve cognition. Therefore, sleep disorders should be identified and treated early.
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Affiliation(s)
- Geert Mayer
- Department of Neurology, Philipps-Universität Marburg, Marburg, Germany
| | - Helmut Frohnhofen
- Department of Orthopedics and Trauma Surgery, University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Department of Medicine, Geriatrics, Faculty of Health, University Witten-Herdecke, Witten, Germany
| | - Martha Jokisch
- Department of Neurology and Center for Translational Neuro-and Behavioral Sciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Dirk M. Hermann
- Department of Neurology and Center for Translational Neuro-and Behavioral Sciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Janine Gronewold
- Department of Neurology and Center for Translational Neuro-and Behavioral Sciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany
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Wang K, Zhao S, Lee EKP, Yau SZM, Wu Y, Hung CT, Yeoh EK. Risk of Dementia Among Patients With Diabetes in a Multidisciplinary, Primary Care Management Program. JAMA Netw Open 2024; 7:e2355733. [PMID: 38345817 PMCID: PMC10862158 DOI: 10.1001/jamanetworkopen.2023.55733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/19/2023] [Indexed: 02/15/2024] Open
Abstract
Importance Although poorly controlled diabetes is associated with a higher incidence of dementia, few studies have examined the association of diabetes management interventions with dementia incidence. Objective To examine the association of receiving a multidisciplinary diabetes management program (the Risk Assessment and Management Program-Diabetes Mellitus [RAMP-DM]) that enables better glycemic control with subsequent risk of dementia incidence and the association of dementia with glycemic control. Design, Setting, and Participants This territory-wide, retrospective, matched cohort study with more than 8 years of follow-up was conducted using electronic health care records from all the patients who used public health care services in Hong Kong from 2011 to 2019. Eligible participants included all patients with type 2 diabetes (T2D) who were managed in primary care settings. Patients who received RAMP-DM were matched in a 1:1 ratio with patients who received usual care only. Data analysis occurred from April 2023 to July 2023. Exposures Diagnosis of T2D, hemoglobin A1C (HbA1C) level, and attendance at a general outpatient clinic or family medicine clinic. Patients received either RAMP-DM or usual care. Main Outcomes and Measures Incidence of all-cause dementia and subtypes of dementia were compared between the RAMP-DM and usual care participants using a Cox proportional hazard model with other baseline characteristics, biomarkers, and medication history adjusted. HbA1C levels were measured as a secondary outcome. Results Among the 55 618 matched participants (mean [SD] age, 62.28 [11.90] years; 28 561 female [51.4%]; 27 057 male [48.6%]), including the 27 809 patients in the RAMP-DM group and 27 809 patients in the usual care group, patients had been diagnosed with T2D for a mean (SD) of 5.90 (4.20) years. During a median (IQR) follow-up period of 8.4 (6.8-8.8) years, 1938 patients in the RAMP-DM group (6.97%) and 2728 patients in the usual care group (9.81%) received a diagnosis of dementia. Compared with those receiving usual care, RAMP-DM participants had a lower risk of developing all-cause dementia (adjusted hazard ratio [aHR], 0.72; 95% CI, 0.68-0.77; P < .001), Alzheimer disease (aHR, 0.85; 95% CI, 0.76-0.96; P = .009), vascular dementia (aHR, 0.61; 95% CI, 0.51-0.73; P < .001), and other or unspecified dementia (aHR, 0.71; 95% CI, 0.66-0.77; P < .001). Compared with having a mean HbA1C level during the first 3 years after cohort entry between 6.5% and 7.5%, a higher risk of dementia incidence was detected for patients with a 3-year mean HbA1C level greater than 8.5% (aHR, 1.54; 95% CI, 1.31-1.80]), between 7.5% and 8.5% (aHR, 1.33; 95% CI, 1.19-1.48), between 6% and 6.5% (aHR, 1.17; 95% CI, 1.07-1.29), and 6% or less (aHR, 1.39; 95% CI, 1.24-1.57). Conclusions and Relevance In this cohort study of patients with T2D, the findings strengthened evidence of an association of glycemic control with dementia incidence, and revealed that a multidisciplinary primary care diabetes management program was associated with beneficial outcomes for T2D patients against dementia and its major subtypes. A moderate glycemic control target of HbA1C between 6.5% and 7.5% was associated with lower dementia incidence.
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Affiliation(s)
- Kailu Wang
- Centre for Health Systems and Policy Research, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Shi Zhao
- School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, China
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Eric Kam-Pui Lee
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Susan Zi-May Yau
- Centre for Health Systems and Policy Research, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Yushan Wu
- Centre for Health Systems and Policy Research, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Chi-Tim Hung
- Centre for Health Systems and Policy Research, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Eng-Kiong Yeoh
- Centre for Health Systems and Policy Research, Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
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Gannon O, Tremble SM, McGinn C, Guth R, Scoppettone N, Hunt RD, Prakash K, Johnson AC. Angiotensin II-mediated hippocampal hypoperfusion and vascular dysfunction contribute to vascular cognitive impairment in aged hypertensive rats. Alzheimers Dement 2024; 20:890-903. [PMID: 37817376 PMCID: PMC10917018 DOI: 10.1002/alz.13491] [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: 07/24/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 10/12/2023]
Abstract
INTRODUCTION Chronic hypertension increases the risk of vascular cognitive impairment (VCI) by ∼60%; however, how hypertension affects the vasculature of the hippocampus remains unclear but could contribute to VCI. METHODS Memory, hippocampal perfusion, and hippocampal arteriole (HA) function were investigated in male Wistar rats or spontaneously hypertensive rats (SHR) in early (4 to 5 months old), mid (8 to 9 months old), or late adulthood (14 to 15 months old). SHR in late adulthood were chronically treated with captopril (angiotensin converting enzyme inhibitor) or apocynin (antioxidant) to investigate the mechanisms by which hypertension contributes to VCI. RESULTS Impaired memory in SHR in late adulthood was associated with HA endothelial dysfunction, hyperconstriction, and ∼50% reduction in hippocampal blood flow. Captopril, but not apocynin, improved HA function, restored perfusion, and rescued memory function in aged SHR. DISCUSSION Hippocampal vascular dysfunction contributes to hypertension-induced memory decline through angiotensin II signaling, highlighting the therapeutic potential of HAs in protecting neurocognitive health later in life. HIGHLIGHTS Vascular dysfunction in the hippocampus contributes to vascular cognitive impairment. Memory declines with age during chronic hypertension. Angiotensin II causes endothelial dysfunction in the hippocampus in hypertension. Angiotensin II-mediated hippocampal arteriole dysfunction reduces blood flow. Vascular dysfunction in the hippocampus impairs perfusion and memory function.
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Affiliation(s)
- Olivia Gannon
- Department of Neurological SciencesUniversity of Vermont Larner College of MedicineBurlingtonVermontUSA
| | - Sarah M. Tremble
- Department of Neurological SciencesUniversity of Vermont Larner College of MedicineBurlingtonVermontUSA
| | - Conor McGinn
- Department of Neurological SciencesUniversity of Vermont Larner College of MedicineBurlingtonVermontUSA
| | - Ruby Guth
- Department of Neurological SciencesUniversity of Vermont Larner College of MedicineBurlingtonVermontUSA
| | - Nadia Scoppettone
- Department of Neurological SciencesUniversity of Vermont Larner College of MedicineBurlingtonVermontUSA
| | - Ryan D. Hunt
- Department of Neurological SciencesUniversity of Vermont Larner College of MedicineBurlingtonVermontUSA
| | - Kirtika Prakash
- Department of Neurological SciencesUniversity of Vermont Larner College of MedicineBurlingtonVermontUSA
| | - Abbie C. Johnson
- Department of Neurological SciencesUniversity of Vermont Larner College of MedicineBurlingtonVermontUSA
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Saltiel N, Tripodis Y, Menzin T, Olaniyan A, Baucom Z, Yhang E, Palmisano JN, Martin B, Uretsky M, Nair E, Abdolmohammadi B, Shah A, Nicks R, Nowinski C, Cantu RC, Daneshvar DH, Dwyer B, Katz DI, Stern RA, Alvarez V, Huber B, Boyle PA, Schneider JA, Mez J, McKee A, Alosco ML, Stein TD. Relative Contributions of Mixed Pathologies to Cognitive and Functional Symptoms in Brain Donors Exposed to Repetitive Head Impacts. Ann Neurol 2024; 95:314-324. [PMID: 37921042 PMCID: PMC10842014 DOI: 10.1002/ana.26823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 10/12/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023]
Abstract
OBJECTIVE Exposure to repetitive head impacts (RHI) is associated with later-life cognitive symptoms and neuropathologies, including chronic traumatic encephalopathy (CTE). Cognitive decline in community cohorts is often due to multiple pathologies; however, the frequency and contributions of these pathologies to cognitive impairment in people exposed to RHI are unknown. Here, we examined the relative contributions of 13 neuropathologies to cognitive symptoms and dementia in RHI-exposed brain donors. METHODS Neuropathologists examined brain tissue from 571 RHI-exposed donors and assessed for the presence of 13 neuropathologies, including CTE, Alzheimer disease (AD), Lewy body disease (LBD), and transactive response DNA-binding protein 43 (TDP-43) inclusions. Cognitive status was assessed by presence of dementia, Functional Activities Questionnaire, and Cognitive Difficulties Scale. Spearman rho was calculated to assess intercorrelation of pathologies. Additionally, frequencies of pathological co-occurrence were compared to a simulated distribution assuming no intercorrelation. Logistic and linear regressions tested associations between neuropathologies and dementia status and cognitive scale scores. RESULTS The sample age range was 18-97 years (median = 65.0, interquartile range = 46.0-76.0). Of the donors, 77.2% had at least one moderate-severe neurodegenerative or cerebrovascular pathology. Stage III-IV CTE was the most common neurodegenerative disease (43.1%), followed by TDP-43 pathology, AD, and hippocampal sclerosis. Neuropathologies were intercorrelated, and there were fewer unique combinations than expected if pathologies were independent (p < 0.001). The greatest contributors to dementia were AD, neocortical LBD, hippocampal sclerosis, cerebral amyloid angiopathy, and CTE. INTERPRETATION In this sample of RHI-exposed brain donors with wide-ranging ages, multiple neuropathologies were common and correlated. Mixed neuropathologies, including CTE, underlie cognitive impairment in contact sport athletes. ANN NEUROL 2024;95:314-324.
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Affiliation(s)
- Nicole Saltiel
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- 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
| | - Yorghos Tripodis
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Talia Menzin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Aliyah Olaniyan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Zach Baucom
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Eukyung Yhang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Joseph N. Palmisano
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Brett Martin
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Madeline Uretsky
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Evan Nair
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Bobak Abdolmohammadi
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Arsal Shah
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- 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
| | - Raymond Nicks
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- 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
| | | | - Robert C. Cantu
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Concussion Legacy Foundation, Boston, MA, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurosurgery, Emerson Hospital, Concord, MA, USA
| | - Daniel H. Daneshvar
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Brigid Dwyer
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Douglas I. Katz
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Robert A. Stern
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Victor Alvarez
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- 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
- National Center for PTSD, VA Boston Healthcare System, Jamaica Plain, MA, USA
| | - Bertrand Huber
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- National Center for PTSD, VA Boston Healthcare System, Jamaica Plain, MA, USA
| | - Patricia A. Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Jesse Mez
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ann McKee
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- 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
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Michael L. Alosco
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Thor D. Stein
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- 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
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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Hainsworth AH, Markus HS, Schneider JA. Cerebral Small Vessel Disease, Hypertension, and Vascular Contributions to Cognitive Impairment and Dementia. Hypertension 2024; 81:75-86. [PMID: 38044814 PMCID: PMC10734789 DOI: 10.1161/hypertensionaha.123.19943] [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: 12/05/2023]
Abstract
Hypertension-associated cerebral small vessel disease is a common finding in older people. Strongly associated with age and hypertension, small vessel disease is found at autopsy in over 50% of people aged ≥65 years, with a spectrum of clinical manifestations. It is the main cause of lacunar stroke and a major source of vascular contributions to cognitive impairment and dementia. The brain areas affected are subcortical and periventricular white matter and deep gray nuclei. Neuropathological sequelae are diffuse white matter lesions (seen as white matter hyperintensities on T2-weighted magnetic resonance imaging), small ischemic foci (lacunes or microinfarcts), and less commonly, subcortical microhemorrhages. The most common form of cerebral small vessel disease is concentric, fibrotic thickening of small penetrating arteries (up to 300 microns outer diameter) termed arteriolosclerosis. Less common forms are small artery atheroma and lipohyalinosis (the lesions described by C. Miller Fisher adjacent to lacunes). Other microvascular lesions that are not reviewed here include cerebral amyloid angiopathy and venous collagenosis. Here, we review the epidemiology, neuropathology, clinical management, genetics, preclinical models, and pathogenesis of hypertensive small vessel disease. Knowledge gaps include initiating factors, molecular pathogenesis, relationships between arterial pathology and tissue damage, possible reversibility, pharmacological targets, and molecular biomarkers. Progress is anticipated from multicell transcriptomic and proteomic profiling, novel experimental models and further target-finding and interventional clinical studies.
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Affiliation(s)
- Atticus H. Hainsworth
- Molecular and Clinical Sciences Research Institute, St George’s University of London, United Kingdom (A.H.H.)
- Department of Neurology, St George’s University Hospitals NHS Foundation Trust, London, United Kingdom (A.H.H.)
| | - Hugh S. Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.S.M.)
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Departments of Pathology and Neurological Sciences, Rush University Medical Center, Chicago, IL (J.A.S.)
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Varlokosta S, Fragkopoulou K, Arfani D, Manouilidou C. Methodologies for assessing morphosyntactic ability in people with Alzheimer's disease. INTERNATIONAL JOURNAL OF LANGUAGE & COMMUNICATION DISORDERS 2024; 59:38-57. [PMID: 36840629 DOI: 10.1111/1460-6984.12862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 01/27/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND The detection and description of language impairments in neurodegenerative diseases like Alzheimer's Disease (AD) play an important role in research, clinical diagnosis and intervention. Various methodological protocols have been implemented for the assessment of morphosyntactic abilities in AD; narrative discourse elicitation tasks and structured experimental tasks for production, offline and online structured experimental tasks for comprehension. Very few studies implement and compare different methodological protocols; thus, little is known about the advantages and disadvantages of each methodology. AIMS To discuss and compare the main behavioral methodological approaches and tasks that have been used in psycholinguistic research to assess different aspects of morphosyntactic production and comprehension in individuals with AD at the word and sentence levels. METHODS A narrative review was conducted through searches in the scientific databases Google Scholar, Scopus, Science Direct, MITCogNet, PubMed. Only studies written in English, that reported quantitative data and were published in peer-reviewed journals were considered with respect to their methodological protocol. Moreover, we considered studies that reported research on all stages of the disease and we included only studies that also reported results of a healthy control group. Studies that implemented standardized assessment tools were not considered in this review. OUTCOMES & RESULTS The main narrative discourse elicitation tasks implemented for the assessment of morphosyntactic production include interviews, picture-description and story narration, whereas the main structured experimental tasks include sentence completion, constrained sentence production, sentence repetition and naming. Morphosyntactic comprehension in AD has been assessed with the use of structured experimental tasks, both offline (sentence-picture matching, grammaticality judgment) and online (cross-modal naming,speeded sentence acceptability judgment, auditory moving window, word detection, reading). For each task we considered studies that reported results from different morphosyntactic structures and phenomena in as many different languages as possible. CONCLUSIONS & IMPLICATIONS Our review revealed strengths and weaknesses of these methods but also directions for future research. Narrative discourse elicitation tasks as well as structured experimental tasks have been used in a variety of languages, and have uncovered preserved morphosyntactic production but also deficits in people with AD. A combination of narrative discourse elicitation and structured production tasks for the assessment of the same morphosyntactic structure has been rarely used. Regarding comprehension, offline tasks have been implemented in various languages, whereas online tasks have been mainly used in English. Offline and online experimental paradigms have often produced contradictory results even within the same study. The discrepancy between the two paradigms has been attributed to the different working memory demands they impose to the comprehender or to the different parsing processes they tap. Strengths and shortcomings of each methodology are summarized in the paper, and comparisons between different tasks are attempted when this is possible. Thus, the paper may serve as a methodological guide for the study of morphosyntax in AD and possibly in other neurodegenerative diseases. WHAT THIS PAPER ADDS What is already known on this subject For the assessment of morphosyntactic abilities in AD, various methodological paradigms have been implemented: narrative discourse elicitation tasks and structured experimental tasks for production, and offline and online structured experimental tasks for comprehension. Very few studies implement and compare different methodological protocols; thus, little is known about the advantages and disadvantages of each methodology. What this paper adds to existing knowledge The paper presents an overview of methodologies that have been used to assess morphosyntactic production and comprehension of people with AD at the word and sentence levels. The paper summarizes the strengths and shortcomings of each methodology, providing both the researcher and the clinician with some directions in their endeavour of investigating language in AD. Also, the paper highlights the need for further research that will implement carefully scrutinized tasks from various experimental paradigms and will explore distinct aspects of the AD patients' morphosyntactic abilities in typologically different languages. What are the potential or actual clinical implications of this work? The paper may serve as a reference point for (psycho-)linguists who wish to study morphosyntactic abilities in AD, and for speech and language therapists who might need to apply morphosyntactic protocols to their patients in order to assess them or design appropriate therapeutic interventions for production and comprehension deficits.
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Affiliation(s)
- Spyridoula Varlokosta
- Department of Linguistics, Faculty of Philology, National and Kapodistrian University of Athens, Athens, Greece
| | - Katerina Fragkopoulou
- Department of Linguistics, Faculty of Philology, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitra Arfani
- Department of Linguistics, Faculty of Philology, National and Kapodistrian University of Athens, Athens, Greece
| | - Christina Manouilidou
- Department of Comparative and General Linguistics, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia
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Tosun D, Thropp P, Southekal S, Spottiswoode B, Fahmi R. Profiling and predicting distinct tau progression patterns: An unsupervised data-driven approach to flortaucipir positron emission tomography. Alzheimers Dement 2023; 19:5605-5619. [PMID: 37288753 PMCID: PMC10704003 DOI: 10.1002/alz.13164] [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: 02/24/2023] [Revised: 04/25/2023] [Accepted: 04/28/2023] [Indexed: 06/09/2023]
Abstract
INTRODUCTION How to detect patterns of greater tau burden and accumulation is still an open question. METHODS An unsupervised data-driven whole-brain pattern analysis of longitudinal tau positron emission tomography (PET) was used first to identify distinct tau accumulation profiles and then to build baseline models predictive of tau-accumulation type. RESULTS The data-driven analysis of longitudinal flortaucipir PET from studies done by the Alzheimer's Disease Neuroimaging Initiative, Avid Pharmaceuticals, and Harvard Aging Brain Study (N = 348 cognitively unimpaired, N = 188 mild cognitive impairment, N = 77 dementia), yielded three distinct flortaucipir-progression profiles: stable, moderate accumulator, and fast accumulator. Baseline flortaucipir levels, amyloid beta (Aβ) positivity, and clinical variables, identified moderate and fast accumulators with 81% and 95% positive predictive values, respectively. Screening for fast tau accumulation and Aβ positivity in early Alzheimer's disease, compared to Aβ positivity with variable tau progression profiles, required 46% to 77% lower sample size to achieve 80% power for 30% slowing of clinical decline. DISCUSSION Predicting tau progression with baseline imaging and clinical markers could allow screening of high-risk individuals most likely to benefit from a specific treatment regimen.
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Affiliation(s)
- Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA 94143
- Northern California Institute of Research and Education, San Francisco, CA, USA 94121
| | - Pamela Thropp
- Northern California Institute of Research and Education, San Francisco, CA, USA 94121
| | | | - Bruce Spottiswoode
- Siemens Medical Solutions USA, Inc., Molecular Imaging, Knoxville, TN, USA 37932
| | - Rachid Fahmi
- Siemens Medical Solutions USA, Inc., Molecular Imaging, Knoxville, TN, USA 37932
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Frontera JA, Guekht A, Allegri RF, Ashraf M, Baykan B, Crivelli L, Easton A, Garcia-Azorin D, Helbok R, Joshi J, Koehn J, Koralnik I, Netravathi M, Michael B, Nilo A, Özge A, Padda K, Pellitteri G, Prasad K, Romozzi M, Saylor D, Seed A, Thakur K, Uluduz D, Vogrig A, Welte TM, Westenberg E, Zhuravlev D, Zinchuk M, Winkler AS. Evaluation and treatment approaches for neurological post-acute sequelae of COVID-19: A consensus statement and scoping review from the global COVID-19 neuro research coalition. J Neurol Sci 2023; 454:120827. [PMID: 37856998 DOI: 10.1016/j.jns.2023.120827] [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: 06/20/2023] [Revised: 09/14/2023] [Accepted: 10/04/2023] [Indexed: 10/21/2023]
Abstract
Post-acute neurological sequelae of COVID-19 affect millions of people worldwide, yet little data is available to guide treatment strategies for the most common symptoms. We conducted a scoping review of PubMed/Medline from 1/1/2020-4/1/2023 to identify studies addressing diagnosis and treatment of the most common post-acute neurological sequelae of COVID-19 including: cognitive impairment, sleep disorders, headache, dizziness/lightheadedness, fatigue, weakness, numbness/pain, anxiety, depression and post-traumatic stress disorder. Utilizing the available literature and international disease-specific society guidelines, we constructed symptom-based differential diagnoses, evaluation and management paradigms. This pragmatic, evidence-based consensus document may serve as a guide for a holistic approach to post-COVID neurological care and will complement future clinical trials by outlining best practices in the evaluation and treatment of post-acute neurological signs/symptoms.
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Affiliation(s)
- Jennifer A Frontera
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA.
| | - Alla Guekht
- Moscow Research and Clinical Center for Neuropsychiatry, Moscow, Russia; Pirogov Russian National Research Medical University, Moscow, Russia
| | | | - Mariam Ashraf
- Department of Anesthesiology, Weill Cornell Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - Betül Baykan
- Department of Neurology, Istanbul University, Istanbul Faculty of Medicine, and EMAR Medical Center, Istanbul, Turkey
| | - Lucía Crivelli
- Department of Cognitive Neurology, Fleni, Buenos Aires, Argentina
| | - Ava Easton
- The Encephalitis Society, Malton, UK; Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - David Garcia-Azorin
- Department of Neurology, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | - Raimund Helbok
- Department of Neurology, Neuro-Intensive Care Unit, Medical University of Innsbruck, Innsbruck, Austria; Department of Neurology, Johannes Kepler University, Linz, Austria
| | - Jatin Joshi
- Department of Anesthesiology, Weill Cornell Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - Julia Koehn
- Department of Neurology, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Igor Koralnik
- Departmentof Neurology, Northwestern Feinberg School of Medicine, Chicago, IL, USA
| | - M Netravathi
- Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Benedict Michael
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK; National Institute for Health Research Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, UK; The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Annacarmen Nilo
- Clinical Neurology, Santa Maria della Misericordia University Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy
| | - Aynur Özge
- Department of Neurology, Faculty of Medicine, Mersin University, Mersin, Turkey
| | - Karanbir Padda
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Gaia Pellitteri
- Clinical Neurology, Santa Maria della Misericordia University Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy
| | - Kameshwar Prasad
- Chief Executive Office, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Marina Romozzi
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Dipartimento Universitario Di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Deanna Saylor
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Internal Medicine, University Teaching Hospital, Lusaka, Zambia
| | - Adam Seed
- The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Kiran Thakur
- Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital, New York, NY, USA
| | - Derya Uluduz
- Department of Neurology, Istanbul University, Istanbul Faculty of Medicine, and EMAR Medical Center, Istanbul, Turkey
| | - Alberto Vogrig
- Clinical Neurology, Santa Maria della Misericordia University Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy; Department of Medicine, University of Udine Medical School, Udine, Italy
| | - Tamara M Welte
- Department of Neurology, Universitätsklinikum Erlangen, Erlangen, Germany; Department of Neurology, Center for Global Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Erica Westenberg
- Department of Neurology, Center for Global Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dmitry Zhuravlev
- Moscow Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - Mikhail Zinchuk
- Moscow Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - Andrea S Winkler
- Department of Neurology, Center for Global Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway; Blavatnik Institute of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
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19
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Boivin-Proulx LA, Brouillette J, Dorais M, Perreault S. Association between cardiovascular diseases and dementia among various age groups: a population-based cohort study in older adults. Sci Rep 2023; 13:14881. [PMID: 37689801 PMCID: PMC10492794 DOI: 10.1038/s41598-023-42071-8] [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: 04/23/2023] [Accepted: 09/05/2023] [Indexed: 09/11/2023] Open
Abstract
The link between cardiovascular (CV) risk factors or diseases and dementia is documented. There is conflicting evidence whether age moderates the association. We need to study this gap so that research and clinical initiatives target appropriate age groups. A cohort of 320,630 adult patients without dementia was built using Quebec healthcare databases (1998-2010). The CV risk factors were hypertension, diabetes and dyslipidemia, while diseases included stroke, myocardial infarction (MI), chronic heart failure (HF), and atrial fibrillation (AF). Dementia risk and CV risk factors or diseases were assessed using incidence rate ratios and Cox regression across age groups. The cohort presented by mainly female sex (67.7%) and mean age of 74.1 years. Incident rate of dementia increased with age, ranging from 4.1 to 93.5 per 1000 person-years. Diabetes, stroke, HF and AF were significantly associated with dementia risk, hazard ratios ranged from 1.08 to 3.54. The strength of association decreased in advanced age for diabetes, stroke and HF. The results suggest that prevention of diabetes, stroke, HF and AF are crucial to mitigate dementia risk. The pathophysiology of dementia in younger and older populations seems to differ, with less impact of CV risk factors in advanced age.
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Affiliation(s)
- Laurie-Anne Boivin-Proulx
- Department of Cardiology, Faculty of Medicine, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - Judith Brouillette
- Department of Cardiology, Faculty of Medicine, University of Ottawa Heart Institute, Ottawa, ON, Canada
- Department of Psychiatry and Addictology, Université de Montréal, Montreal, QC, Canada
| | - Marc Dorais
- StatSciences Inc., Notre-Dame-de-l'Île-Perrot, QC, Canada
| | - Sylvie Perreault
- Faculté de Pharmacie, Université de Montréal, Succursale Centre-Ville, Case Postale 6128, Montreal, QC, H3C 3J7, Canada.
- Centre de Recherche en Santé Publique (CReSP), Partenaire CIUSSS du Centre-Sud-de-l'Île-de-Montréal et l'Université de Montréal, Montreal, QC, Canada.
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20
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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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21
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Jagust WJ, Teunissen CE, DeCarli C. The complex pathway between amyloid β and cognition: implications for therapy. Lancet Neurol 2023; 22:847-857. [PMID: 37454670 DOI: 10.1016/s1474-4422(23)00128-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/11/2023] [Accepted: 03/27/2023] [Indexed: 07/18/2023]
Abstract
For decades, the hypothesis that brain deposition of the amyloid β protein initiates Alzheimer's disease has dominated research and clinical trials. Targeting amyloid β is starting to produce therapeutic benefit, although whether amyloid-lowering drugs will be widely and meaningfully effective is still unclear. Despite extensive in-vivo biomarker evidence in humans showing the importance of an amyloid cascade that drives cognitive decline, the amyloid hypothesis does not fully account for the complexity of late-life cognitive impairment. Multiple brain pathological changes, inflammation, and host factors of resilience might also be involved in contributing to the development of dementia. This variability suggests that the benefits of lowering amyloid β might depend on how strongly an amyloid pathway is manifest in an individual in relation to other coexisting pathophysiological processes. A new approach to research and treatment, which fully considers the multiple factors that drive cognitive decline, is necessary.
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Affiliation(s)
- William J Jagust
- School of Public Health, and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Charles DeCarli
- Department of Neurology, University of California, Davis, CA, USA
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22
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Culberson JW, Kopel J, Sehar U, Reddy PH. Urgent needs of caregiving in ageing populations with Alzheimer's disease and other chronic conditions: Support our loved ones. Ageing Res Rev 2023; 90:102001. [PMID: 37414157 PMCID: PMC10756323 DOI: 10.1016/j.arr.2023.102001] [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: 04/13/2023] [Revised: 06/27/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023]
Abstract
The ageing process begins at birth. It is a life-long process, and its exact origins are still unknown. Several hypotheses attempt to describe the normal ageing process, including hormonal imbalance, formation of reactive oxygen species, DNA methylation & DNA damage accumulation, loss of proteostasis, epigenetic alterations, mitochondrial dysfunction, senescence, inflammation, and stem cell depletion. With increased lifespan in elderly individuals, the prevalence of age-related diseases including, cancer, diabetes, obesity, hypertension, Alzheimer's, Alzheimer's disease and related dementias, Parkinson's, and other mental illnesses are increased. These increased age-related illnesses, put tremendous pressure & burden on caregivers, family members, and friends who are living with patients with age-related diseases. As medical needs evolve, the caregiver is expected to experience an increase in duties and challenges, which may result in stress on themselves, and impact their own family life. In the current article, we assess the biological mechanisms of ageing and its effect on body systems, exploring lifestyle and ageing, with a specific focus on age-related disorders. We also discussed the history of caregiving and specific challenges faced by caregivers in the presence of multiple comorbidities. We also assessed innovative approaches to funding caregiving, and efforts to improve the medical system to better organize chronic care efforts, while improving the skill and efficiency of both informal and formal caregivers. We also discussed the role of caregiving in end-of-life care. Our critical analysis strongly suggests that there is an urgent need for caregiving in aged populations and support from local, state, and federal agencies.
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Affiliation(s)
- John W Culberson
- Department of Family and Community Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Jonathan Kopel
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Ujala Sehar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - P Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Nutritional Sciences Department, College of Human Sciences, Texas Tech University, 1301 Akron Ave, Lubbock, TX 79409, USA; Neurology, Departments of School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Public Health Department of Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Speech, Language and Hearing Sciences, School Health Professions, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
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23
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Nelson PT, Schneider JA, Jicha GA, Duong MT, Wolk DA. When Alzheimer's is LATE: Why Does it Matter? Ann Neurol 2023; 94:211-222. [PMID: 37245084 PMCID: PMC10516307 DOI: 10.1002/ana.26711] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 05/07/2023] [Accepted: 05/18/2023] [Indexed: 05/29/2023]
Abstract
Recent therapeutic advances provide heightened motivation for accurate diagnosis of the underlying biologic causes of dementia. This review focuses on the importance of clinical recognition of limbic-predominant age-related TDP-43 encephalopathy (LATE). LATE affects approximately one-quarter of older adults and produces an amnestic syndrome that is commonly mistaken for Alzheimer's disease (AD). Although AD and LATE often co-occur in the same patients, these diseases differ in the protein aggregates driving neuropathology (Aβ amyloid/tau vs TDP-43). This review discusses signs and symptoms, relevant diagnostic testing, and potential treatment implications for LATE that may be helpful for physicians, patients, and families. ANN NEUROL 2023;94:211-222.
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Affiliation(s)
| | | | | | | | - David A. Wolk
- University of Pennsylvania Alzheimer’s Disease Research Center
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24
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Liu X, Wang X, Zhang H, Pei M, Li N. Relationship between digital exclusion and cognitive impairment in Chinese adults. Front Aging Neurosci 2023; 15:1194348. [PMID: 37465320 PMCID: PMC10350515 DOI: 10.3389/fnagi.2023.1194348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 06/19/2023] [Indexed: 07/20/2023] Open
Abstract
Objective We aimed to evaluate the relationship between digital exclusion, such as neither mobile payments nor WeChat use, and cognitive impairment in Chinese individuals aged 45 and older. Methods A population-based cross-sectional study utilizing data from the fourth national survey of the China Health and Retirement Longitudinal Study (CHARLS). In the fourth wave of CHARLS, 10,325 participants aged 45 and older with complete information were included in this analysis. Self-reported mobile payments and WeChat usage constituted our exposure. Cognitive impairment was the primary outcome. Univariate and multivariate logistic regression were used to assess the relationships between cognitive impairment risk and digital exclusion. Results Data were analyzed from 10,325 participants [mean (SD) age, 60.3 (9.1) years; 44.8% women], including 1,232 individuals with cognitive impairment and 9,093 cognitively normal individuals. The overall proportion of users who did not use either mobile payment or WeChat and those who only used WeChat were 81.3 and 6.7%, for cognitively impaired individuals 95.0 and 3.1%, and for cognitively normal individuals 79.5 and 7.2% [neither WeChat nor mobile payments vs. control unadjusted odds ratio (OR), 8.16; P < 0.001; only WeChat use vs. control unadjusted OR, 2.91; P < 0.001]. Participants who did not use either WeChat or mobile payments had an elevated risk for cognitive impairment after adjusting for a number of covariates (neither WeChat nor mobile payments vs. control adjusted OR, 3.48; P < 0.001; only WeChat use vs. control adjusted OR, 1.86; P = 0.021). Conclusion Our study reveals a positive correlation between digital exclusion and cognitive impairment in Chinese adults, providing insights for promoting active digital integration among older adults. Further longitudinal research is needed to further validate this hypothesis.
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Affiliation(s)
- Xiaoli Liu
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
- Department of Hernia and Abdominal Wall Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xiaoxiao Wang
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Hua Zhang
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Minyue Pei
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
| | - Nan Li
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
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25
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Nair AK, Van Hulle CA, Bendlin BB, Zetterberg H, Blennow K, Wild N, Kollmorgen G, Suridjan I, Busse WW, Dean DC, Rosenkranz MA. Impact of asthma on the brain: evidence from diffusion MRI, CSF biomarkers and cognitive decline. Brain Commun 2023; 5:fcad180. [PMID: 37377978 PMCID: PMC10292933 DOI: 10.1093/braincomms/fcad180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 04/27/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
Chronic systemic inflammation increases the risk of neurodegeneration, but the mechanisms remain unclear. Part of the challenge in reaching a nuanced understanding is the presence of multiple risk factors that interact to potentiate adverse consequences. To address modifiable risk factors and mitigate downstream effects, it is necessary, although difficult, to tease apart the contribution of an individual risk factor by accounting for concurrent factors such as advanced age, cardiovascular risk, and genetic predisposition. Using a case-control design, we investigated the influence of asthma, a highly prevalent chronic inflammatory disease of the airways, on brain health in participants recruited to the Wisconsin Alzheimer's Disease Research Center (31 asthma patients, 186 non-asthma controls, aged 45-90 years, 62.2% female, 92.2% cognitively unimpaired), a sample enriched for parental history of Alzheimer's disease. Asthma status was determined using detailed prescription information. We employed multi-shell diffusion weighted imaging scans and the three-compartment neurite orientation dispersion and density imaging model to assess white and gray matter microstructure. We used cerebrospinal fluid biomarkers to examine evidence of Alzheimer's disease pathology, glial activation, neuroinflammation and neurodegeneration. We evaluated cognitive changes over time using a preclinical Alzheimer cognitive composite. Using permutation analysis of linear models, we examined the moderating influence of asthma on relationships between diffusion imaging metrics, CSF biomarkers, and cognitive decline, controlling for age, sex, and cognitive status. We ran additional models controlling for cardiovascular risk and genetic risk of Alzheimer's disease, defined as a carrier of at least one apolipoprotein E (APOE) ε4 allele. Relative to controls, greater Alzheimer's disease pathology (lower amyloid-β42/amyloid-β40, higher phosphorylated-tau-181) and synaptic degeneration (neurogranin) biomarker concentrations were associated with more adverse white matter metrics (e.g. lower neurite density, higher mean diffusivity) in patients with asthma. Higher concentrations of the pleiotropic cytokine IL-6 and the glial marker S100B were associated with more salubrious white matter metrics in asthma, but not in controls. The adverse effects of age on white matter integrity were accelerated in asthma. Finally, we found evidence that in asthma, relative to controls, deterioration in white and gray matter microstructure was associated with accelerated cognitive decline. Taken together, our findings suggest that asthma accelerates white and gray matter microstructural changes associated with aging and increasing neuropathology, that in turn, are associated with more rapid cognitive decline. Effective asthma control, on the other hand, may be protective and slow progression of cognitive symptoms.
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Affiliation(s)
- Ajay Kumar Nair
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Carol A Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, S-431 30 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, S-431 30 Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WCIE 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, Clear Water Bay, Hong Kong SAR, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, S-431 30 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, S-431 30 Mölndal, Sweden
| | - Norbert Wild
- Roche Diagnostics GmbH, Core Lab RED, 82377 Penzberg, Germany
| | | | - Ivonne Suridjan
- CDMA Clinical Development, Roche Diagnostics International Ltd, CH-6346, Rotkreuz, Switzerland
| | - William W Busse
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Douglas C Dean
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Melissa A Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
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26
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Gutteridge DS, Segal A, McNeil JJ, Beilin L, Brodtmann A, Chowdhury EK, Egan GF, Ernst ME, Hussain SM, Reid CM, Robb CE, Ryan J, Woods RL, Keage HA, Jamadar S. The relationship between long-term blood pressure variability and cortical thickness in older adults. Neurobiol Aging 2023; 129:157-167. [PMID: 37331246 DOI: 10.1016/j.neurobiolaging.2023.05.011] [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: 01/17/2023] [Revised: 05/02/2023] [Accepted: 05/17/2023] [Indexed: 06/20/2023]
Abstract
High blood pressure variability (BPV) is a risk factor for cognitive decline and dementia, but its association with cortical thickness is not well understood. Here we use a topographical approach, to assess links between long-term BPV and cortical thickness in 478 (54% men at baseline) community dwelling older adults (70-88 years) from the ASPirin in Reducing Events in the Elderly NEURO sub-study. BPV was measured as average real variability, based on annual visits across three years. Higher diastolic BPV was significantly associated with reduced cortical thickness in multiple areas, including temporal (banks of the superior temporal sulcus), parietal (supramarginal gyrus, post-central gyrus), and posterior frontal areas (pre-central gyrus, caudal middle frontal gyrus), while controlling for mean BP. Higher diastolic BPV was associated with faster progression of cortical thinning across the three years. Diastolic BPV is an important predictor of cortical thickness, and trajectory of cortical thickness, independent of mean blood pressure. This finding suggests an important biological link in the relationship between BPV and cognitive decline in older age.
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Affiliation(s)
- D S Gutteridge
- Cognitive Ageing and Impairment Neuroscience Laboratory (CAIN), University of South Australia, Adelaide, South Australia, Australia.
| | - A Segal
- Turner Institute for Brain & Mental Health, Monash University, Melbourne, Victoria, Australia
| | - J J McNeil
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - L Beilin
- School of Medicine, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia, Australia
| | - A Brodtmann
- Cognitive Health Initiative, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - E K Chowdhury
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - G F Egan
- Turner Institute for Brain & Mental Health, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
| | - M E Ernst
- Department of Family Medicine, Carver College of Medicine. The University of Iowa, Iowa City, IA, USA; Department of Pharmacy Practice and Science, College of Pharmacy, Carver College of Medicine. The University of Iowa, Iowa City, IA, USA
| | - S M Hussain
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia; Department of Medical Education, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
| | - C M Reid
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia; School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - C E Robb
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - J Ryan
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - R L Woods
- School of Public Health & Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - H A Keage
- Cognitive Ageing and Impairment Neuroscience Laboratory (CAIN), University of South Australia, Adelaide, South Australia, Australia
| | - S Jamadar
- Turner Institute for Brain & Mental Health, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
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27
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White LR. If Midlife Brain Injury Is a Risk Factor for Alzheimer's Disease and Related Dementias, What Is the Neuropathologic Mechanism? J Alzheimers Dis 2023:JAD230332. [PMID: 37212122 DOI: 10.3233/jad-230332] [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: 05/23/2023]
Abstract
While we know that brain injuries related to sport and military activities sometimes lead to cognitive impairment or early onset dementia, it is unclear if and how they might influence the development of Alzheimer's Disease and Related Dementias (ADRD). Published analytic conclusions have been mixed. Two reports in the Journal of Alzheimer's Disease reach the same answer: a history of brain injury appears to be a risk factor for generalized brain atrophy, which would likely increase vulnerability to the subsequent development of any variety of ADRD, or to dementia directly attributable to reduced brain mass.
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Affiliation(s)
- Lon R White
- Pacific Health Research and Education Institute, Honolulu, HI, USA
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28
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Johnson AC. Hippocampal Vascular Supply and Its Role in Vascular Cognitive Impairment. Stroke 2023; 54:673-685. [PMID: 36848422 PMCID: PMC9991081 DOI: 10.1161/strokeaha.122.038263] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 12/22/2022] [Indexed: 03/01/2023]
Abstract
The incidence of age-related dementia is increasing as the world population ages and due to lack of effective treatments for dementia. Vascular contributions to cognitive impairment and dementia are increasing as the prevalence of pathologies associated with cerebrovascular disease rise, including chronic hypertension, diabetes, and ischemic stroke. The hippocampus is a bilateral deep brain structure that is central to learning, memory, and cognitive function and highly susceptible to hypoxic/ischemic injury. Compared with cortical brain regions such as the somatosensory cortex, less is known about the function of the hippocampal vasculature that is critical in maintaining neurocognitive health. This review focuses on the hippocampal vascular supply, presenting what is known about hippocampal hemodynamics and blood-brain barrier function during health and disease, and discusses evidence that supports its contribution to vascular cognitive impairment and dementia. Understanding vascular-mediated hippocampal injury that contributes to memory dysfunction during healthy aging and cerebrovascular disease is essential to develop effective treatments to slow cognitive decline. The hippocampus and its vasculature may represent one such therapeutic target to mitigate the dementia epidemic.
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Affiliation(s)
- Abbie C Johnson
- Department of Neurological Sciences, University of Vermont Larner College of Medicine, Burlington
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29
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Semmens EO, Leary CS, Fitzpatrick AL, Ilango SD, Park C, Adam CE, DeKosky ST, Lopez O, Hajat A, Kaufman JD. Air pollution and dementia in older adults in the Ginkgo Evaluation of Memory Study. Alzheimers Dement 2023; 19:549-559. [PMID: 35436383 PMCID: PMC9576823 DOI: 10.1002/alz.12654] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 02/13/2022] [Accepted: 02/17/2022] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Growing evidence implicates air pollution as a risk factor for dementia, but prior work is limited by challenges in diagnostic accuracy and assessing exposures in the decades prior to disease development. We evaluated the impact of long-term fine particulate matter (PM2.5 ) exposures on incident dementia (all-cause, Alzheimer's disease [AD], and vascular dementia [VaD]) in older adults. METHODS A panel of neurologists adjudicated dementia cases based on extensive neuropsychological testing and magnetic resonance imaging. We applied validated fine-scale air pollutant models to reconstructed residential histories to assess exposures. RESULTS An interquartile range increase in 20-year PM2.5 was associated with a 20% higher risk of dementia (95% confidence interval [CI]: 5%, 37%) and an increased risk of mixed VaD/AD but not AD alone. DISCUSSION Our findings suggest that air pollutant exposures over decades contribute to dementia and that effects of current exposures may be experienced years into the future.
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Affiliation(s)
- Erin O. Semmens
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Cindy S. Leary
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine and Global Health, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Sindana D. Ilango
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Christina Park
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Claire E. Adam
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Steven T. DeKosky
- Department of Neurology and McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
| | - Oscar Lopez
- Department of Neurology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Anjum Hajat
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Joel D. Kaufman
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
- Departments of Environmental and Occupational Health Sciences and Medicine, School of Public Health, University of Washington, Seattle, Washington, USA
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30
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Nelson PT, Lee EB, Cykowski MD, Alafuzoff I, Arfanakis K, Attems J, Brayne C, Corrada MM, Dugger BN, Flanagan ME, Ghetti B, Grinberg LT, Grossman M, Grothe MJ, Halliday GM, Hasegawa M, Hokkanen SRK, Hunter S, Jellinger K, Kawas CH, Keene CD, Kouri N, Kovacs GG, Leverenz JB, Latimer CS, Mackenzie IR, Mao Q, McAleese KE, Merrick R, Montine TJ, Murray ME, Myllykangas L, Nag S, Neltner JH, Newell KL, Rissman RA, Saito Y, Sajjadi SA, Schwetye KE, Teich AF, Thal DR, Tomé SO, Troncoso JC, Wang SHJ, White CL, Wisniewski T, Yang HS, Schneider JA, Dickson DW, Neumann M. LATE-NC staging in routine neuropathologic diagnosis: an update. Acta Neuropathol 2023; 145:159-173. [PMID: 36512061 PMCID: PMC9849315 DOI: 10.1007/s00401-022-02524-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/21/2022] [Accepted: 11/22/2022] [Indexed: 12/15/2022]
Abstract
An international consensus report in 2019 recommended a classification system for limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC). The suggested neuropathologic staging system and nomenclature have proven useful for autopsy practice and dementia research. However, some issues remain unresolved, such as cases with unusual features that do not fit with current diagnostic categories. The goal of this report is to update the neuropathologic criteria for the diagnosis and staging of LATE-NC, based primarily on published data. We provide practical suggestions about how to integrate available genetic information and comorbid pathologies [e.g., Alzheimer's disease neuropathologic changes (ADNC) and Lewy body disease]. We also describe recent research findings that have enabled more precise guidance on how to differentiate LATE-NC from other subtypes of TDP-43 pathology [e.g., frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis (ALS)], and how to render diagnoses in unusual situations in which TDP-43 pathology does not follow the staging scheme proposed in 2019. Specific recommendations are also made on when not to apply this diagnostic term based on current knowledge. Neuroanatomical regions of interest in LATE-NC are described in detail and the implications for TDP-43 immunohistochemical results are specified more precisely. We also highlight questions that remain unresolved and areas needing additional study. In summary, the current work lays out a number of recommendations to improve the precision of LATE-NC staging based on published reports and diagnostic experience.
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Affiliation(s)
- Peter T Nelson
- University of Kentucky, Rm 575 Todd Building, Lexington, KY, USA.
| | - Edward B Lee
- University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Konstantinos Arfanakis
- Rush University Medical Center, Chicago, IL, USA
- Illinois Institute of Technology, Chicago, IL, USA
| | | | | | | | | | | | | | | | | | - 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
| | | | - Masato Hasegawa
- Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | | | | | | | | | | | | | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Canada
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | | | | | | | - Qinwen Mao
- University of Utah, Salt Lake City, UT, USA
| | | | | | | | | | - Liisa Myllykangas
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sukriti Nag
- Rush University Medical Center, Chicago, IL, USA
| | - Janna H Neltner
- University of Kentucky, Rm 575 Todd Building, Lexington, KY, USA
| | | | | | - Yuko Saito
- Tokyo Metropolitan Geriatric Hospital & Institute of Gerontology, Tokyo, Japan
| | | | | | | | - Dietmar R Thal
- Laboratory for Neuropathology, Department of Imaging and Pathoogy, and Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospital Leuven, Leuven, Belgium
| | - Sandra O Tomé
- Laboratory for Neuropathology, Department of Imaging and Pathoogy, and Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | | | | | - Charles L White
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Hyun-Sik Yang
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, BostonBoston, MAMA, USA
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White LR, Corrada MM, Kawas CH, Cholerton BA, Edland SE, Flanagan ME, Montine TJ. Neuropathologic Changes of Alzheimer's Disease and Related Dementias: Relevance to Future Prevention. J Alzheimers Dis 2023; 95:307-316. [PMID: 37522210 PMCID: PMC10851925 DOI: 10.3233/jad-230331] [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: 08/01/2023]
Abstract
BACKGROUND Decedents with late-life dementia are often found at autopsy to have vascular pathology, cortical Lewy bodies, hippocampal sclerosis, and/or TDP-43 encephalopathy alone or with concurrent Alzheimer's disease (AD) lesions. Nonetheless, it is commonly believed that AD neuropathologic changes (NC) are the dominant or exclusive drivers of late-life dementia. OBJECTIVE Assess associations of end-of-life cognitive impairment with any one or any combination of five distinct NC. Assess impairment prevalence among subjects having natural resistance to each type of NC. METHODS Brains from 1,040 autopsied participants of the Honolulu-Asia Study, the Nun Study, and the 90 + Study were examined for NC of AD, Lewy body dementia, microvascular brain injury, hippocampal sclerosis, and limbic predominate TDP-43 encephalopathy. Associations with impairment were assessed for each NC and for NC polymorbidity (variable combinations of 2-5 concurrent NC). RESULTS Among 387 autopsied decedents with severe cognitive impairment, 20.4% had only AD lesions (ADNC), 25.3% had ADNC plus 1 other NC, 11.1% had ADNC plus 2 or more other NC, 28.7% had no ADNC but 1-4 other NC, and 14.5% had no/negligible NC. Combinations of any two, three, or four NC were highly frequent among the impaired. Natural resistance to ADNC or any other single NC had a modest impact on overall cohort impairment levels. CONCLUSION Polymorbidity involving 1-5 types of concurrent NC is a dominant neuropathologic feature of AD and related dementias. This represents a daunting challenge to future prevention and could explain failures of prior preventive intervention trials and of efforts to identify risk factors.
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Affiliation(s)
- Lon R. White
- Pacific Health Research and Education Institute, Honolulu, USA
| | | | | | | | - Steve E. Edland
- University of California at San Diego, School of Public Health, La Jolla, USA
| | - Margaret E Flanagan
- University of Texas Health San Antonio, Biggs Institute for Alzheimer's and Neurodegenerative Diseases and Department of Pathology, San Antonio, TX, USA
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Power MC, Willens V, Prather C, Moghtaderi A, Chen Y, Gianattasio KZ, Grodstein F, Shah RC, James BD. Risks and Benefits of Clinical Diagnosis Around the Time of Dementia Onset. Gerontol Geriatr Med 2023; 9:23337214231213185. [PMID: 38026091 PMCID: PMC10666707 DOI: 10.1177/23337214231213185] [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] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/14/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Diagnostic delay in dementia is common in the U.S. Drivers of diagnostic delay are poorly understood, but appear related to misconceptions about dementia, stigma, concerns about autonomy, the nature of the diagnostic process, and provider-related factors. There is little quantitative evidence underlying cited risks and benefits of receiving a diagnosis around the time of dementia onset, including impacts on physical health, impacts on mental health, care partner interactions, costs of care, increased time for care planning, or earlier access to treatment. While various groups continue to push for reductions in diagnostic delay, realization of benefits and mitigation of harms will require new research on potential benefits and harms. Workforce and resource constraints, coupled with the expected growth in the number of persons living with dementia, may be a barrier to realization of potential benefits and mitigation of identified harms, which will require adequate access to providers, services, and supports.
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Affiliation(s)
| | | | | | | | - Yi Chen
- Rush University Medical Center, Chicago, IL, USA
| | | | | | - Raj C. Shah
- Rush University Medical Center, Chicago, IL, USA
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Mazumder S, McCann H, D’Silva S, Furlong S, Shepherd CE, Kril JJ, Halliday GM, Rowe DB, Kiernan MC, Tan RH. Riluzole is associated with decreasing neuritic plaque severity in amyotrophic lateral sclerosis. Brain 2022; 146:e17-e19. [PMID: 36542498 PMCID: PMC9976952 DOI: 10.1093/brain/awac467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Srestha Mazumder
- Brain and Mind Centre, University of Sydney, Sydney, NSW 2050, Australia
| | - Heather McCann
- Neuroscience Research Australia, Randwick, NSW 2031, Australia
| | - Susan D’Silva
- Faculty of Medicine, Health and Human Sciences, Macquarie University Centre for Motor Neuron Disease Research, Macquarie University, Sydney, NSW 2109, Australia
| | - Sarah Furlong
- Faculty of Medicine, Health and Human Sciences, Macquarie University Centre for Motor Neuron Disease Research, Macquarie University, Sydney, NSW 2109, Australia
| | | | - Jillian J Kril
- Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Camperdown, NSW 2006, Australia,Dementia Research Centre, Macquarie Medical School, Macquarie University, Sydney, NSW 2109, Australia
| | - Glenda M Halliday
- Brain and Mind Centre, University of Sydney, Sydney, NSW 2050, Australia,Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Camperdown, NSW 2006, Australia
| | - Dominic B Rowe
- Faculty of Medicine, Health and Human Sciences, Macquarie University Centre for Motor Neuron Disease Research, Macquarie University, Sydney, NSW 2109, Australia
| | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Sydney, NSW 2050, Australia,Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
| | - Rachel H Tan
- Correspondence to: Rachel Tan Brain and Mind Centre, 94 Mallett Street Camperdown NSW 2050 Australia E-mail:
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Power MC, Engelman BC, Wei J, Glymour MM. Closing the Gap Between Observational Research and Randomized Controlled Trials for Prevention of Alzheimer Disease and Dementia. Epidemiol Rev 2022; 44:17-28. [PMID: 35442427 PMCID: PMC10362937 DOI: 10.1093/epirev/mxac002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2022] [Indexed: 12/29/2022] Open
Abstract
Although observational studies have identified modifiable risk factors for Alzheimer disease and related dementias (ADRD), randomized controlled trials (RCTs) of risk factor modification for ADRD prevention have been inconsistent or inconclusive. This finding suggests a need to improve translation between observational studies and RCTs. However, many common features of observational studies reduce their relevance to designing related RCTs. Observational studies routinely differ from RCTs with respect to eligibility criteria, study population, length of follow-up, treatment conditions, outcomes, and effect estimates. Using the motivating example of blood pressure reduction for ADRD prevention, we illustrate the need for a tighter connection between observational studies and RCTs, discuss barriers to using typically reported observational evidence in developing RCTs, and highlight methods that may be used to make observational research more relevant to clinical trial design. We conclude that the questions asked and answered by observational research can be made more relevant to clinical trial design and that better use of observational data may increase the likelihood of successful, or at least definitive, trials. Although we focus on improving translation of observational studies on risk factors for ADRD to RCTs in ADRD prevention, the overarching themes are broadly applicable to many areas of biomedical research.
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Affiliation(s)
- Melinda C Power
- Correspondence to Melinda C. Power, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, NW, Washington, DC 20052 (e-mail: )
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Libard S, Giedraitis V, Kilander L, Ingelsson M, Alafuzoff I. Mixed Pathologies in a Subject with a Novel PSEN1 G206R Mutation. J Alzheimers Dis 2022; 90:1601-1614. [PMID: 36314207 PMCID: PMC9789486 DOI: 10.3233/jad-220655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND There are more than 300 presenilin-1 (PSEN1) mutations identified but a thorough postmortem neuropathological assessment of the mutation carriers is seldom performed. OBJECTIVE To assess neuropathological changes (NC) in a 73-year-old subject with the novel PSEN1 G206R mutation suffering from cognitive decline in over 20 years. To compare these findings with an age- and gender-matched subject with sporadic Alzheimer's disease (sAD). METHODS The brains were assessed macro- and microscopically and the proteinopathies were staged according to current recommendations. RESULTS The AD neuropathological change (ADNC) was more extensive in the mutation carrier, although both individuals reached a high level of ADNC. The transactive DNA binding protein 43 pathology was at the end-stage in the index subject, a finding not previously described in familial AD. This pathology was moderate in the sAD subject. The PSEN1 G206R subject displayed full-blown alpha-synuclein pathology, while this proteinopathy was absent in the sAD case. Additionally, the mutation carrier displayed pronounced neuroinflammation, not previously described in association with PSEN1 mutations. CONCLUSION Our findings are exceptional, as the PSEN1 G206R subject displayed an end-stage pathology of every common proteinopathy. It is unclear whether the observed alterations are caused by the mutation or are related to a cross-seeding mechanisms. The pronounced neuroinflammation in the index patient can be reactive to the extensive NC or a contributing factor to the proteinopathies. Thorough postmortem neuropathological and genetic assessment of subjects with familial AD is warranted, for further understanding of a dementing illness.
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Affiliation(s)
- Sylwia Libard
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden,Department of Surgical Pathology, Uppsala University Hospital, Uppsala, Sweden
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden,Krembil Brain Institute, University Health Network, Toronto, ON, Canada,Department of Medicine and Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Irina Alafuzoff
- Department of Surgical Pathology, Uppsala University Hospital, Uppsala, Sweden
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Abstract
As men grow older, circulating testosterone concentrations decline, while prevalence of cognitive impairment and dementia increase. Epidemiological studies of middle-aged and older men have demonstrated associations of lower testosterone concentrations with higher prevalence and incidence of cognitive decline and dementia, including Alzheimer's disease. In observational studies, men with prostate cancer treated by androgen deprivation therapy had a higher risk of dementia. Small intervention studies of testosterone using different measures of cognitive function have provided inconsistent results, with some suggesting improvement. A randomised placebo-controlled trial of one year's testosterone treatment conducted in 788 men aged ≥ 65 years, baseline testosterone < 9.54 nmol/L, showed an improvement in sexual function, but no improvement in cognitive function. There is a known association between diabetes and dementia risk. A randomised placebo-controlled trial of two year's testosterone treatment in 1,007 men aged 50-74 years, waist circumference ≥ 95 cm, baseline testosterone ≤ 14 nmol/L, showed an effect of testosterone in reducing type 2 diabetes risk. There were no cognitive endpoints in that trial. Additional research is warranted but at this stage lower testosterone concentrations in ageing men should be regarded as a biomarker rather than a proven therapeutic target for risk reduction of cognitive decline and dementia, including Alzheimer's disease.
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Affiliation(s)
- Bu B Yeap
- Medical School, University of Western Australia, Perth, Australia.
- Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Australia.
| | - Leon Flicker
- Medical School, University of Western Australia, Perth, Australia
- Western Australian Centre for Health and Ageing, University of Western Australia, Perth, Australia
- Department of Geriatric Medicine, Royal Perth Hospital, Perth, Australia
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Abstract
Alzheimer's disease (AD) characterization has progressed from being indexed using clinical symptomatology followed by neuropathological examination at autopsy to in vivo signatures using cerebrospinal fluid (CSF) biomarkers and positron emission tomography. The core AD biomarkers reflect amyloid-β plaques (A), tau pathology (T) and neurodegeneration (N), following the ATN schedule, and are now being introduced into clinical routine practice. This is an important development, as disease-modifying treatments are now emerging. Further, there are now reproducible data on CSF biomarkers which reflect synaptic pathology, neuroinflammation and common co-pathologies. In addition, the development of ultrasensitive techniques has enabled the core CSF biomarkers of AD pathophysiology to be translated to blood (e.g., phosphorylated tau, amyloid-β and neurofilament light). In this chapter, we review where we stand with both core and novel CSF biomarkers, as well as the explosion of data on blood biomarkers. Also, we discuss potential applications in research aiming to better understand the disease, as well as possible use in routine clinical practice and therapeutic trials.
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Affiliation(s)
- Joel Simrén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Anders Elmgren
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurodegenerative Disease, Institute of Neurology, University College London, London, United Kingdom; UK Dementia Research Institute, University College London, London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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Morphometric imaging biomarker identifies Alzheimer's disease even among mixed dementia patients. Sci Rep 2022; 12:17675. [PMID: 36319674 PMCID: PMC9626495 DOI: 10.1038/s41598-022-21796-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 10/04/2022] [Indexed: 11/05/2022] Open
Abstract
A definitive diagnosis of Alzheimer's disease (AD), even in the presence of co-morbid neuropathology (occurring in > 50% of AD cases), is a significant unmet medical need that has obstructed the discovery of effective AD therapeutics. An AD-biomarker, the Morphometric Imaging (MI) assay on cultured skin fibroblasts, was used in a double-blind, allcomers (ages 55-90) trial of 3 patient cohorts: AD dementia patients, N = 25, all autopsy confirmed, non-AD dementia patients, N = 21-all autopsy or genetically confirmed; and non-demented control (AHC) patients N = 27. Fibroblasts cells isolated from 3-mm skin punch biopsies were cultured on a 3-D Matrigel matrix with movement dynamics quantified by image analysis. From counts of all aggregates (N) in a pre-defined field image and measures of the average area (A) of aggregates per image, the number-to-area ratios in a natural logarithmic form Ln(A/N) were determined for all patient samples. AD cell lines formed fewer large aggregates (cells clustered together) than non-AD or AHC cell lines. The cut-off value of Ln(A/N) = 6.98 was determined from the biomarker values of non-demented apparently healthy control (AHC) cases. Unequivocal validation by autopsy, genetics, and/or dementia criteria was possible for all 73 patient samples. The samples were collected from multiple centers-four US centers and one center in Japan. The study found no effect of center-to-center variation in fibroblast isolation, cell growth, or cell aggregation values (Ln(A/N)). The autopsy-confirmed MI Biomarker distinguished AD from non-AD dementia (non-ADD) patients and correctly diagnosed AD even in the presence of other co-morbid pathologies at autopsy (True Positive = 25, False Negative = 0, False Positive = 0, True Negative = 21, and Accuracy = 100%. Sensitivity and specificity were calculated as 100% (95% CI = 84 to 100.00%). From these findings, the MI assay appears to detect AD with great accuracy-even with abundant co-morbidity.
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Jack CR. Advances in Alzheimer's disease research over the past two decades. Lancet Neurol 2022; 21:866-869. [DOI: 10.1016/s1474-4422(22)00298-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 11/29/2022]
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McKenzie AT, Marx GA, Koenigsberg D, Sawyer M, Iida MA, Walker JM, Richardson TE, Campanella G, Attems J, McKee AC, Stein TD, Fuchs TJ, White CL, Farrell K, Crary JF. Interpretable deep learning of myelin histopathology in age-related cognitive impairment. Acta Neuropathol Commun 2022; 10:131. [PMID: 36127723 PMCID: PMC9490907 DOI: 10.1186/s40478-022-01425-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/09/2022] [Indexed: 02/08/2023] Open
Abstract
Age-related cognitive impairment is multifactorial, with numerous underlying and frequently co-morbid pathological correlates. Amyloid beta (Aβ) plays a major role in Alzheimer's type age-related cognitive impairment, in addition to other etiopathologies such as Aβ-independent hyperphosphorylated tau, cerebrovascular disease, and myelin damage, which also warrant further investigation. Classical methods, even in the setting of the gold standard of postmortem brain assessment, involve semi-quantitative ordinal staging systems that often correlate poorly with clinical outcomes, due to imperfect cognitive measurements and preconceived notions regarding the neuropathologic features that should be chosen for study. Improved approaches are needed to identify histopathological changes correlated with cognition in an unbiased way. We used a weakly supervised multiple instance learning algorithm on whole slide images of human brain autopsy tissue sections from a group of elderly donors to predict the presence or absence of cognitive impairment (n = 367 with cognitive impairment, n = 349 without). Attention analysis allowed us to pinpoint the underlying subregional architecture and cellular features that the models used for the prediction in both brain regions studied, the medial temporal lobe and frontal cortex. Despite noisy labels of cognition, our trained models were able to predict the presence of cognitive impairment with a modest accuracy that was significantly greater than chance. Attention-based interpretation studies of the features most associated with cognitive impairment in the top performing models suggest that they identified myelin pallor in the white matter. Our results demonstrate a scalable platform with interpretable deep learning to identify unexpected aspects of pathology in cognitive impairment that can be translated to the study of other neurobiological disorders.
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Affiliation(s)
- Andrew T McKenzie
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank & Research Core, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gabriel A Marx
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank & Research Core, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Daniel Koenigsberg
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank & Research Core, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mary Sawyer
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank & Research Core, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Megan A Iida
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank & Research Core, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jamie M Walker
- Department of Pathology, University of Texas Health Science Center, San Antonio, TX, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
| | - Timothy E Richardson
- Department of Pathology, University of Texas Health Science Center, San Antonio, TX, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
| | - Gabriele Campanella
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Johannes Attems
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Ann C McKee
- Department of Pathology, VA Medical Center &, Boston University School of Medicine, Boston, MA, USA
| | - Thor D Stein
- Department of Pathology, VA Medical Center &, Boston University School of Medicine, Boston, MA, USA
| | - Thomas J Fuchs
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles L White
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kurt Farrell
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Neuropathology Brain Bank & Research Core, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Pathology, Icahn School of Medicine at Mount Sinai, Icahn Building 9th Floor, L9-02C, 1425 Madison Avenue, New York, NY, USA.
| | - John F Crary
- Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Neuropathology Brain Bank & Research Core, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Pathology, Icahn School of Medicine at Mount Sinai, Icahn Building 9th Floor, Room 20A, 1425 Madison Avenue, New York, NY, 10029, USA.
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Elman JA, Vogel JW, Bocancea DI, Ossenkoppele R, van Loenhoud AC, Tu XM, Kremen WS. Issues and recommendations for the residual approach to quantifying cognitive resilience and reserve. Alzheimers Res Ther 2022; 14:102. [PMID: 35879736 PMCID: PMC9310423 DOI: 10.1186/s13195-022-01049-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 07/14/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Cognitive reserve and resilience are terms used to explain interindividual variability in maintenance of cognitive health in response to adverse factors, such as brain pathology in the context of aging or neurodegenerative disorders. There is substantial interest in identifying tractable substrates of resilience to potentially leverage this phenomenon into intervention strategies. One way of operationalizing cognitive resilience that has gained popularity is the residual method: regressing cognition on an adverse factor and using the residual as a measure of resilience. This method is attractive because it provides a statistical approach that is an intuitive match to the reserve/resilience conceptual framework. However, due to statistical properties of the regression equation, the residual approach has qualities that complicate its interpretation as an index of resilience and make it statistically inappropriate in certain circumstances. METHODS AND RESULTS We describe statistical properties of the regression equation to illustrate why the residual is highly correlated with the cognitive score from which it was derived. Using both simulations and real data, we model common applications of the approach by creating a residual score (global cognition residualized for hippocampal volume) in individuals along the AD spectrum. We demonstrate that in most real-life scenarios, the residual measure of cognitive resilience is highly correlated with cognition, and the degree of this correlation depends on the initial relationship between the adverse factor and cognition. Subsequently, any association between this resilience metric and an external variable may actually be driven by cognition, rather than by an operationalized measure of resilience. We then assess several strategies proposed as potential solutions to this problem, such as including both the residual and original cognitive measure in a model. However, we conclude these solutions may be insufficient, and we instead recommend against "pre-regression" strategies altogether in favor of using statistical moderation (e.g., interactions) to quantify resilience. CONCLUSIONS Caution should be taken in the use and interpretation of the residual-based method of cognitive resilience. Rather than identifying resilient individuals, we encourage building more complete models of cognition to better identify the specific adverse and protective factors that influence cognitive decline.
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Affiliation(s)
- Jeremy A. Elman
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California San Diego, 9500 Gilman Dr. (MC0738), La Jolla, CA 92093 USA ,grid.266100.30000 0001 2107 4242Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA USA
| | - Jacob W. Vogel
- grid.25879.310000 0004 1936 8972Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Diana I. Bocancea
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Rik Ossenkoppele
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands ,grid.16872.3a0000 0004 0435 165XVU University Medical Center, Amsterdam, the Netherlands ,grid.4514.40000 0001 0930 2361Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Anna C. van Loenhoud
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands ,grid.16872.3a0000 0004 0435 165XVU University Medical Center, Amsterdam, the Netherlands
| | - Xin M. Tu
- grid.266100.30000 0001 2107 4242Family Medicine and Public Health, University of California San Diego, La Jolla, CA USA
| | - William S. Kremen
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California San Diego, 9500 Gilman Dr. (MC0738), La Jolla, CA 92093 USA ,grid.266100.30000 0001 2107 4242Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA USA
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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]
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Atherton K, Han X, Chung J, Cherry JD, Baucom Z, Saltiel N, Nair E, Abdolmohammadi B, Uretsky M, Khan MM, Shea C, Durape S, Martin BM, Palmisano JN, Farrell K, Nowinski CJ, Alvarez VE, Dwyer B, Daneshvar DH, Katz DI, Goldstein LE, Cantu RC, Kowall NW, Alosco ML, Huber BR, Tripodis Y, Crary JF, Farrer L, Stern RA, Stein TD, McKee AC, Mez J. Association of APOE Genotypes and Chronic Traumatic Encephalopathy. JAMA Neurol 2022; 79:787-796. [PMID: 35759276 PMCID: PMC9237800 DOI: 10.1001/jamaneurol.2022.1634] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Importance Repetitive head impact (RHI) exposure is the chief risk factor for chronic traumatic encephalopathy (CTE). However, the occurrence and severity of CTE varies widely among those with similar RHI exposure. Limited evidence suggests that the APOEε4 allele may confer risk for CTE, but previous studies were small with limited scope. Objective To test the association between APOE genotype and CTE neuropathology and related endophenotypes. Design, Setting, and Participants This cross-sectional genetic association study analyzed brain donors from February 2008 to August 2019 from the Veterans Affairs-Boston University-Concussion Legacy Foundation Brain Bank. All donors had exposure to RHI from contact sports or military service. All eligible donors were included. Analysis took place between June 2020 and April 2022. Exposures One or more APOEε4 or APOEε2 alleles. Main Outcomes and Measures CTE neuropathological status, CTE stage (0-IV), semiquantitative phosphorylated tau (p-tau) burden in 11 brain regions (0-3), quantitative p-tau burden in the dorsolateral frontal lobe (log-transformed AT8+ pixel count per mm2), and dementia. Results Of 364 consecutive brain donors (100% male; 53 [14.6%] self-identified as Black and 311 [85.4%] as White; median [IQR] age, 65 [47-77] years) 20 years or older, there were 294 individuals with CTE and 70 controls. Among donors older than 65 years, APOEε4 status was significantly associated with CTE stage (odds ratio [OR], 2.34 [95% CI, 1.30-4.20]; false discovery rate [FDR]-corrected P = .01) and quantitative p-tau burden in the dorsolateral frontal lobe (β, 1.39 [95% CI, 0.83-1.94]; FDR-corrected P = 2.37 × 10-5). There was a nonsignificant association between APOEε4 status and dementia (OR, 2.64 [95% CI, 1.06-6.61]; FDR-corrected P = .08). Across 11 brain regions, significant associations were observed for semiquantitative p-tau burden in the frontal and parietal cortices, amygdala, and entorhinal cortex (OR range, 2.45-3.26). Among football players, the APOEε4 association size for CTE stage was similar to playing more than 7 years of football. Associations were significantly larger in the older half of the sample. There was no significant association for CTE status. Association sizes were similar when donors with an Alzheimer disease neuropathological diagnosis were excluded and were reduced but remained significant after adjusting for neuritic and diffuse amyloid plaques. No associations were observed for APOEε2 status. Models were adjusted for age at death and race. Conclusions and Relevance APOEε4 may confer increased risk for CTE-related neuropathological and clinical outcomes among older individuals with RHI exposure. Further work is required to validate these findings in an independent sample.
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Affiliation(s)
- Kathryn Atherton
- Boston University Bioinformatics Graduate Program, Boston, Massachusetts
| | - Xudong Han
- Boston University Bioinformatics Graduate Program, Boston, Massachusetts.,Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
| | - Jaeyoon Chung
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts
| | - Jonathan D Cherry
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,VA Boston Healthcare System, Boston, Massachusetts.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Veterans Affairs Medical Center, Bedford, Massachusetts
| | - Zachary Baucom
- Boston University Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Nicole Saltiel
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,VA Boston Healthcare System, Boston, Massachusetts.,Department of Veterans Affairs Medical Center, Bedford, Massachusetts
| | - Evan Nair
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
| | - Bobak Abdolmohammadi
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
| | - Madeline Uretsky
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
| | | | - Conor Shea
- Boston University Bioinformatics Graduate Program, Boston, Massachusetts
| | - Shruti Durape
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts
| | - Brett M Martin
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Biostatistics & Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, Massachusetts
| | - Joseph N Palmisano
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Biostatistics & Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, Massachusetts
| | - Kurt Farrell
- Department of Pathology, Fishberg Department of Neuroscience, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Christopher J Nowinski
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Concussion Legacy Foundation, Boston, Massachusetts
| | - Victor E Alvarez
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,VA Boston Healthcare System, Boston, Massachusetts.,Department of Veterans Affairs Medical Center, Bedford, Massachusetts
| | - Brigid Dwyer
- Braintree Rehabilitation Hospital, Braintree, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Daniel H Daneshvar
- Department of Rehabilitation Medicine, Harvard Medical School, Boston, Massachusetts
| | - Douglas I Katz
- Braintree Rehabilitation Hospital, Braintree, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Lee E Goldstein
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts.,Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
| | - Robert C Cantu
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts.,Department of Neurosurgery, Emerson Hospital, Concord, Massachusetts
| | - Neil W Kowall
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Michael L Alosco
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Bertrand R Huber
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,VA Boston Healthcare System, Boston, Massachusetts.,Department of Veterans Affairs Medical Center, Bedford, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Boston University Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - John F Crary
- Department of Pathology, Fishberg Department of Neuroscience, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Lindsay Farrer
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts.,Boston University Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Robert A Stern
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Thor D Stein
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,VA Boston Healthcare System, Boston, Massachusetts.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Veterans Affairs Medical Center, Bedford, Massachusetts
| | - Ann C McKee
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,VA Boston Healthcare System, Boston, Massachusetts.,Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Veterans Affairs Medical Center, Bedford, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | - Jesse Mez
- Boston University Alzheimer's Disease and CTE Centers, Boston University School of Medicine, Boston, Massachusetts.,Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
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Payton NM, Marseglia A, Grande G, Fratiglioni L, Kivipelto M, Bäckman L, Laukka EJ. Trajectories of cognitive decline and dementia development: A 12-year longitudinal study. Alzheimers Dement 2022; 19:857-867. [PMID: 35715929 DOI: 10.1002/alz.12704] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 03/09/2022] [Accepted: 04/27/2022] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Mapping the preclinical dementia phase is important for early detection and evaluation of interventions. We assessed the trajectories of cognitive decline in preclinical dementia over 12 years and investigated whether being a fast decliner across 6 years is associated with increased risk of dementia the following 6 years. METHODS Rates of cognitive decline were determined using mixed-effects models for 1646 participants from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K) cohort. Cox regression was used to assess the future likelihood of dementia for fast decliners (declining ≥1.5 standard deviations [SDs] faster than the age-specific rates). RESULTS Participants in a preclinical phase of dementia showed increased rates of decline in all cognitive tests compared to the no-dementia group, particularly closer (0-6 years) to diagnosis. Participants declining fast in three or more cognitive tests 12-6 years before diagnosis demonstrated a high risk of dementia 6 years later (hazard ratio [HR] 3.90, 95% confidence interval [CI] 2.28-6.69). DISCUSSION Being a fast decliner is linked to increased risk of future dementia.
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Affiliation(s)
- Nicola M Payton
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Anna Marseglia
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Stockholms Sjukhem, Research & Development Unit, Stockholm, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
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Staging of Alzheimer's disease: past, present, and future perspectives. Trends Mol Med 2022; 28:726-741. [PMID: 35717526 DOI: 10.1016/j.molmed.2022.05.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/15/2022] [Accepted: 05/16/2022] [Indexed: 01/01/2023]
Abstract
For many years Alzheimer's disease (AD) was associated with the dementia stage of the disease, the tail end of a pathophysiological process that lasts approximately two decades. Whereas early disease staging assessments focused on progressive deterioration of clinical functioning, brain imaging with positron emission tomography (PET) and cerebrospinal fluid (CSF) biomarker studies highlighted the long preclinical phase of AD in which a cascade of detectable biological abnormalities precede cognitive decline. The recent proliferation of imaging and fluid biomarkers of AD pathophysiology provide an opportunity for the identification of several biological stages in the preclinical phase of AD. We discuss the use of clinical and biomarker information in past, present, and future staging of AD. We highlight potential applications of PET, CSF, and plasma biomarkers for staging AD severity in vivo.
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Abstract
PURPOSE OF REVIEW This article gives a broad overview of vascular cognitive impairment and dementia, including epidemiology, pathophysiology, clinical approach, and management. Emphasis is placed on understanding the common underlying types of cerebrovascular disease (including atherosclerosis, arteriolosclerosis, and cerebral amyloid angiopathy) and awareness of rare inherited cerebrovascular disorders. RECENT FINDINGS The pathophysiology of vascular cognitive impairment and dementia is heterogeneous, and the most recent diagnostic criteria for vascular cognitive impairment and dementia break down the diagnosis of major vascular dementia into four phenotypic categories, including subcortical ischemic vascular dementia, poststroke dementia, multi-infarct dementia, and mixed dementia. Control of cardiovascular risk factors, including management of midlife blood pressure, cholesterol, and blood sugars, remains the mainstay of prevention for vascular cognitive impairment and dementia. Cerebral amyloid angiopathy requires special consideration when it comes to risk factor management given the increased risk of spontaneous intracerebral hemorrhage. Recent trials suggest some improvement in global cognitive function in patients with vascular cognitive impairment and dementia with targeted cognitive rehabilitation. SUMMARY Thorough clinical evaluation and neuroimaging form the basis for diagnosis. As vascular cognitive impairment and dementia is the leading nondegenerative cause of dementia, identifying risk factors and optimizing their management is paramount. Once vascular brain injury has occurred, symptomatic management should be offered and secondary prevention pursued.
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Bachmann D, Roman ZJ, Buchmann A, Zuber I, Studer S, Saake A, Rauen K, Gruber E, Nitsch RM, Hock C, Gietl AF, Treyer V. Lifestyle affects amyloid burden and cognition differently in men and women. Ann Neurol 2022; 92:451-463. [PMID: 35598071 PMCID: PMC9542817 DOI: 10.1002/ana.26417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 11/18/2022]
Abstract
Objective Evidence on associations of lifestyle factors with Alzheimer's pathology and cognition are ambiguous, potentially because they rarely addressed inter‐relationships of factors and sex effects. While considering these aspects, we examined the relationships of lifestyle factors with brain amyloid burden and cognition. Methods We studied 178 cognitively normal individuals (women, 49%; 65.0 [7.6] years) and 54 individuals with mild cognitive impairment (women, 35%; 71.3 [8.3] years) enrolled in a prospective study of volunteers who completed 18F‐Flutemetamol amyloid positron emission tomography. Using structural equation modeling, we examined associations between latent constructs representing metabolic/vascular risk, physical activity, and cognitive activity with global amyloid burden and cognitive performance. Furthermore, we investigated the influence of sex in this model. Results Overall, higher cognitive activity was associated with better cognitive performance and higher physical activity was associated with lower amyloid burden. The latter association was weakened to a nonsignificant level after excluding multivariate outliers. Examination of the moderating effect of sex in the model revealed an inverse association of metabolic/vascular risk with cognition in men, whereas in women metabolic/vascular risk trended toward increased amyloid burden. Furthermore, a significant inverse association between physical activity and amyloid burden was found only in men. Inheritance of an APOE4 allele was associated with higher amyloid burden only in women. Interpretation Sex modifies effects of certain lifestyle‐related factors on amyloid burden and cognition. Notably, our results suggest that the negative impact of metabolic/vascular risk influences the risk of cognitive decline and Alzheimer's disease through distinct paths in women and men. ANN NEUROL 2022;92:451–463
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Affiliation(s)
- Dario Bachmann
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Zachary J Roman
- Department of Psychology, Psychological Methods, Evaluation, and Statistics, University of Zurich, Zurich, Switzerland
| | - Andreas Buchmann
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Isabelle Zuber
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Sandro Studer
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Antje Saake
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Katrin Rauen
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.,Department of Geriatric Psychiatry, Psychiatric Hospital Zurich
| | - Esmeralda Gruber
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland
| | - Roger M Nitsch
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.,Neurimmune, Schlieren, Zurich, Switzerland
| | - Christoph Hock
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.,Neurimmune, Schlieren, Zurich, Switzerland
| | - Anton F Gietl
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.,Department of Geriatric Psychiatry, Psychiatric Hospital Zurich
| | - Valerie Treyer
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.,Department of Nuclear Medicine, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
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Latimer CS, Stair JG, Hincks JC, Currey HN, Bird TD, Keene CD, Kraemer BC, Liachko NF. TDP-43 promotes tau accumulation and selective neurotoxicity in bigenic Caenorhabditis elegans. Dis Model Mech 2022; 15:275149. [PMID: 35178571 PMCID: PMC9066518 DOI: 10.1242/dmm.049323] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 02/11/2022] [Indexed: 11/20/2022] Open
Abstract
Although amyloid β (Aβ) and tau aggregates define the neuropathology of Alzheimer's disease (AD), TDP-43 has recently emerged as a co-morbid pathology in more than half of patients with AD. Individuals with concomitant Aβ, tau and TDP-43 pathology experience accelerated cognitive decline and worsened brain atrophy, but the molecular mechanisms of TDP-43 neurotoxicity in AD are unknown. Synergistic interactions among Aβ, tau and TDP-43 may be responsible for worsened disease outcomes. To study the biology underlying this process, we have developed new models of protein co-morbidity using the simple animal Caenorhabditis elegans. We demonstrate that TDP-43 specifically enhances tau but not Aβ neurotoxicity, resulting in neuronal dysfunction, pathological tau accumulation and selective neurodegeneration. Furthermore, we find that synergism between tau and TDP-43 is rescued by loss-of-function of the robust tau modifier sut-2. Our results implicate enhanced tau neurotoxicity as the primary driver underlying worsened clinical and neuropathological phenotypes in AD with TDP-43 pathology, and identify cell-type specific sensitivities to co-morbid tau and TDP-43. Determining the relationship between co-morbid TDP-43 and tau is crucial to understand, and ultimately treat, mixed pathology AD.
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Affiliation(s)
- Caitlin S. Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Jade G. Stair
- Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA
| | - Joshua C. Hincks
- Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA
| | - Heather N. Currey
- Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA
| | - Thomas D. Bird
- Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA,Department of Neurology, University of Washington, Seattle, WA 98104, USA,Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98104, USA
| | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Brian C. Kraemer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA,Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA,Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA,Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington, Seattle, WA 98104, USA
| | - Nicole F. Liachko
- Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA,Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington, Seattle, WA 98104, USA,Author for correspondence ()
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Devanand DP, Lee S, Huey ED, Goldberg TE. Associations Between Neuropsychiatric Symptoms and Neuropathological Diagnoses of Alzheimer Disease and Related Dementias. JAMA Psychiatry 2022; 79:359-367. [PMID: 35171235 PMCID: PMC8851371 DOI: 10.1001/jamapsychiatry.2021.4363] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 12/15/2021] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Understanding associations of Alzheimer disease (AD) and related dementias (ADRD) pathologies with common neuropsychiatric symptoms (NPS) may have implications for diagnosis and management. OBJECTIVE To evaluate ADRD neuropathological diagnoses and NPS without consideration of clinical diagnosis. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study evaluated 1808 brains from 39 sites in the US National Alzheimer Coordinating Center v. 10 collection for participants among whom the Neuropsychiatric Inventory Questionnaire (NPIQ) was administered annually. Brain autopsy diagnoses of AD, Lewy body disease (LBD), cerebral amyloid angiopathy, frontotemporal lobar degeneration, cerebrovascular disease, hippocampal sclerosis, and no known pathology were examined. Autopsy data collected from January 2012 to January 2018 were deidentified and compiled into the publicly available v. 10 database. Data were analyzed from February 2021 to August 2021. MAIN OUTCOMES AND MEASURES The primary outcome was NPIQ domain score, if present at any time point, and mean NPIQ domain score during follow-up was secondary. Associations of ADRD diagnoses with 12 NPIQ symptom domains were examined in regression analyses, correcting for multiple comparisons. RESULTS The study sample of 1808 adults had a mean (SD) age of 80.0 (11.0) years, and 987 participants (54.6%) were male. Apathy was the most prevalent NPS, reaching 80% (203 of 254 individuals) in those with hippocampal sclerosis. Cerebrovascular disease showed few NPS associations. Frontotemporal lobar degeneration was associated with increased apathy, increased disinhibition, and decreased psychosis and agitation compared with AD. Hippocampal sclerosis was associated with increased apathy (odds ratio, 2.60; 95% CI; 1.86-3.66, false discovery rate controlled P < .001) and disinhibition (odds ratio, 2.15; 95% CI, 1.63-2.84; false discovery rate controlled P < .001). In multiple regression analyses that included concomitant neuropathologies, the main findings remained. More severe pathology was consistently associated with increased NPS (eg, LBD was associated with an increase in hallucinations from brain stem [β, 0.23; 95% CI, 0.07-0.76; P = .02] to limbic [β, 1.69; 95% CI, 1.27-2.27; P < .001] to neocortical [β, 4.49; 95% CI, 3.27-6.16; P < .001] pathology). Hallucinations were more common in participants with AD and LBD (168 of 534 [31.5%]) compared with those with AD without LBD (152 of 704 [21.6%]) and those with LBD without AD (23 of 119 [19.6%]). CONCLUSIONS AND RELEVANCE In this cohort study of 1808 brains from the US National Alzheimer Coordinating Center, patients with LBD and AD showed a higher prevalence of hallucinations compared with those with LBD without AD. Neuropsychiatric symptom criteria of apathy and disinhibition in behavioral variant frontotemporal lobar degeneration were supported in this study. In hippocampal sclerosis, the findings of increased apathy and disinhibition merit further investigation. Severity of neuropathology was associated with NPS severity, indicating that NPS may reflect underlying ADRD pathology and highlighting the importance of diagnosing and treating NPS.
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Affiliation(s)
- Davangere P. Devanand
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York
| | - Seonjoo Lee
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
- Division of Mental Health Data Science, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York
| | - Edward D. Huey
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York
| | - Terry E. Goldberg
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York
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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.
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