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Schneider TR, Stöckli L, Felbecker A, Nirmalraj PN. Protein fibril aggregation on red blood cells: a potential biomarker to distinguish neurodegenerative diseases from healthy aging. Brain Commun 2024; 6:fcae180. [PMID: 38873003 PMCID: PMC11170662 DOI: 10.1093/braincomms/fcae180] [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: 07/21/2023] [Revised: 04/19/2024] [Accepted: 06/05/2024] [Indexed: 06/15/2024] Open
Abstract
Neurodegenerative diseases like Alzheimer's disease are characterized by the accumulation of misfolded proteins into fibrils in the brain. Atomic force microscopy is a nanoscale imaging technique that can be used to resolve and quantify protein aggregates from oligomers to fibrils. Recently, we characterized protein fibrillar aggregates adsorbed on the surface of red blood cells with atomic force microscopy from patients with neurocognitive disorders, suggesting a novel Alzheimer's disease biomarker. However, the age association of fibril deposits on red blood cells has not yet been studied in detail in healthy adults. Here, we used atomic force microscopy to visualize and quantify fibril coverage on red blood cells in 50 healthy adults and 37 memory clinic patients. Fibrillar protein deposits sporadically appeared in healthy individuals but were much more prevalent in patients with neurodegenerative disease, especially those with Alzheimer's disease as confirmed by positive CSF amyloid beta 1-42/1-40 ratios. The prevalence of fibrils on the red blood cell surface did not significantly correlate with age in either healthy individuals or Alzheimer's disease patients. The overlap in fibril prevalence on red blood cells between Alzheimer's disease and amyloid-negative patients suggests that fibril deposition on red blood cells could occur in various neurodegenerative diseases. Quantifying red blood cell protein fibril morphology and prevalence on red blood cells could serve as a sensitive biomarker for neurodegeneration, distinguishing between healthy individuals and those with neurodegenerative diseases. Future studies that combine atomic force microscopy with immunofluorescence techniques in larger-scale studies could further identify the chemical nature of these fibrils, paving the way for a comprehensive, non-invasive biomarker platform for neurodegenerative diseases.
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Affiliation(s)
| | - Luisa Stöckli
- Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen CH-9007, Switzerland
| | - Ansgar Felbecker
- Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen CH-9007, Switzerland
| | - Peter Niraj Nirmalraj
- Transport at Nanoscale Interfaces Laboratory, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf CH-8600, Switzerland
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Womack CL, Perkins A, Arnold JM. Cognitive Impairment in the Primary Care Clinic. Prim Care 2024; 51:233-251. [PMID: 38692772 DOI: 10.1016/j.pop.2024.02.010] [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] [Indexed: 05/03/2024]
Abstract
Cognitive impairment is a common problem in the geriatric population and is characterized by variable symptoms of memory difficulties, executive dysfunction, language or visuospatial problems, and behavioral changes. It is imperative that primary care clinicians recognize and differentiate the variable symptoms associated with cognitive impairment from changes attributable to normal aging or secondary to other medical conditions. A thorough evaluation for potentially reversible causes of dementia is required before diagnosis with a neurodegenerative dementia. Other abnormal neurologic findings, rapid progression, or early age of onset are red flags that merit referral to neurology for more specialized evaluation and treatment.
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Affiliation(s)
- Cindy L Womack
- Department of Neurology, Neuroscience Institute, Southern Illinois University School of Medicine, 751 North Rutledge Street, PO 19643, Springfield, IL 62794, USA
| | - Andrea Perkins
- Department of Neurology, Neuroscience Institute, Southern Illinois University School of Medicine, 751 North Rutledge Street, PO 19643, Springfield, IL 62794, USA
| | - Jennifer M Arnold
- Department of Neurology, Neuroscience Institute, Southern Illinois University School of Medicine, 751 North Rutledge Street, PO 19643, Springfield, IL 62794, USA.
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Li M, Yu R, Wang X, Zhao Y, Song Q, Wang Q, Fu C, Mishra SR, Shrestha N, Virani SS, Zhu D. Association between ABO genotypes and risk of dementia and neuroimaging markers: roles of sex and APOE status. Front Neurol 2024; 15:1391010. [PMID: 38863509 PMCID: PMC11165032 DOI: 10.3389/fneur.2024.1391010] [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: 03/21/2024] [Accepted: 05/14/2024] [Indexed: 06/13/2024] Open
Abstract
Background Whether the relationships between ABO blood genotypes (AA, AO, BB, BO, AB, and OO) and dementia are modified by gender and APOE status has been unclear. Methods We used data from the UK Biobank, a population-based cohort study of 487,425 individuals. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) between ABO genotypes and risk of dementia. Multivariable linear regression models were used to estimate the relationship between ABO genotypes and MRI-based brain indices. Results Overall, 487,425 participants were included at baseline. After 34 million person-years follow up, 7,548 patients developed all-cause dementia. Before stratifying by sex and APOE status, compared to OO genotype, BB genotype was associated with increased risk of all-cause dementia (1.36, 1.03-1.80) and other types dementia (1.65, 1.20-2.28). After stratifying by sex, only in males, BB genotype was associated with higher risk of all-cause dementia (1.44, 1.02-2.09) and other types of dementia (1.95, 1.30-2.93). AB genotype in males was also associated with increased AD (1.34, 1.04-1.72). After further stratifying by APOE e4 status, BB genotype with two APOE e4 alleles showed even stronger association with all-cause dementia 4.29 (1.57, 11.72) and other types dementia (5.49, 1.70-17.69) in males. Also in males, AA genotype with one APOE e4 was associated with increased risks of all-cause dementia (1.27, 1.04-1.55), AD (1.45, 1.09-1.94) and other types dementia (1.40, 1.08-1.81). Linear regression models showed that in both sexes with APOE e4, AA genotype was associated with reduced total grey matter volume. Conclusion Sex and APOE e4 carrier status modified the association between ABO genotypes and risk of dementia. In males, BB genotype was consistently associated with increased risk of dementia, especially in those with two APOE e4 alleles. Also, in males with one APOE e4, AA genotype might be linked to higher risk of dementia.
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Affiliation(s)
- Meiling Li
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ruihong Yu
- Department of Disinfection and Sterilization, Pingyin Center for Disease Control and Prevention, Jinan, China
| | - Xiaoyi Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yanqing Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Qixiang Song
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Qi Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chunying Fu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Shiva Raj Mishra
- NHMRC Clinical Trials Center, University of Sydney, Sydney, NSW, Australia
- Westmead Applied Research Centre (WARC), Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Nipun Shrestha
- NHMRC Clinical Trials Center, University of Sydney, Sydney, NSW, Australia
| | - Salim S. Virani
- Section of Global Research, The Aga Khan University, Karachi, Pakistan
| | - Dongshan Zhu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Center for Clinical Epidemiology and Evidence-Based Medicine, Shandong University, Jinan, China
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2024 Alzheimer's disease facts and figures. Alzheimers Dement 2024; 20:3708-3821. [PMID: 38689398 PMCID: PMC11095490 DOI: 10.1002/alz.13809] [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] [Indexed: 05/02/2024]
Abstract
This article describes the public health impact of Alzheimer's disease (AD), including prevalence and incidence, mortality and morbidity, use and costs of care and the ramifications of AD for family caregivers, the dementia workforce and society. The Special Report discusses the larger health care system for older adults with cognitive issues, focusing on the role of caregivers and non-physician health care professionals. An estimated 6.9 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060, barring the development of medical breakthroughs to prevent or cure AD. Official AD death certificates recorded 119,399 deaths from AD in 2021. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death in the United States. Official counts for more recent years are still being compiled. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2021, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 140%. More than 11 million family members and other unpaid caregivers provided an estimated 18.4 billion hours of care to people with Alzheimer's or other dementias in 2023. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $346.6 billion in 2023. Its costs, however, extend to unpaid caregivers' increased risk for emotional distress and negative mental and physical health outcomes. Members of the paid health care and broader community-based workforce are involved in diagnosing, treating and caring for people with dementia. However, the United States faces growing shortages across different segments of the dementia care workforce due to a combination of factors, including the absolute increase in the number of people living with dementia. Therefore, targeted programs and care delivery models will be needed to attract, better train and effectively deploy health care and community-based workers to provide dementia care. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2024 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $360 billion. The Special Report investigates how caregivers of older adults with cognitive issues interact with the health care system and examines the role non-physician health care professionals play in facilitating clinical care and access to community-based services and supports. It includes surveys of caregivers and health care workers, focusing on their experiences, challenges, awareness and perceptions of dementia care navigation.
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Katsumata Y, Fardo DW, Shade LMP, Wu X, Karanth SD, Hohman TJ, Schneider JA, Bennett DA, Farfel JM, Gauthreaux K, Mock C, Kukull WA, Abner EL, Nelson PT. Genetic associations with dementia-related proteinopathy: Application of item response theory. Alzheimers Dement 2024; 20:2906-2921. [PMID: 38460116 PMCID: PMC11032554 DOI: 10.1002/alz.13741] [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: 07/07/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 03/11/2024]
Abstract
INTRODUCTION Although dementia-related proteinopathy has a strong negative impact on public health, and is highly heritable, understanding of the related genetic architecture is incomplete. METHODS We applied multidimensional generalized partial credit modeling (GPCM) to test genetic associations with dementia-related proteinopathies. Data were analyzed to identify candidate single nucleotide variants for the following proteinopathies: Aβ, tau, α-synuclein, and TDP-43. RESULTS Final included data comprised 966 participants with neuropathologic and WGS data. Three continuous latent outcomes were constructed, corresponding to TDP-43-, Aβ/Tau-, and α-synuclein-related neuropathology endophenotype scores. This approach helped validate known genotype/phenotype associations: for example, TMEM106B and GRN were risk alleles for TDP-43 pathology; and GBA for α-synuclein/Lewy bodies. Novel suggestive proteinopathy-linked alleles were also discovered, including several (SDHAF1, TMEM68, and ARHGEF28) with colocalization analyses and/or high degrees of biologic credibility. DISCUSSION A novel methodology using GPCM enabled insights into gene candidates for driving misfolded proteinopathies. HIGHLIGHTS Latent factor scores for proteinopathies were estimated using a generalized partial credit model. The three latent continuous scores corresponded well with proteinopathy severity. Novel genes associated with proteinopathies were identified. Several genes had high degrees of biologic credibility for dementia risk factors.
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Affiliation(s)
- Yuriko Katsumata
- Department of BiostatisticsUniversity of KentuckyLexingtonKentuckyUSA
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | - David W. Fardo
- Department of BiostatisticsUniversity of KentuckyLexingtonKentuckyUSA
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | | | - Xian Wu
- Department of BiostatisticsUniversity of KentuckyLexingtonKentuckyUSA
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
| | - Shama D. Karanth
- Department of SurgeryCollege of MedicineUniversity of FloridaGainesvilleFloridaUSA
- UF Health Cancer CenterUniversity of FloridaGainesvilleFloridaUSA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Julie A. Schneider
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
- Department of PathologyRush University Medical CenterChicagoIllinoisUSA
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - David A. Bennett
- Department of Neurological SciencesRush University Medical CenterChicagoIllinoisUSA
- Department of PathologyRush University Medical CenterChicagoIllinoisUSA
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Jose M. Farfel
- Department of PathologyRush University Medical CenterChicagoIllinoisUSA
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Kathryn Gauthreaux
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Charles Mock
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Walter A. Kukull
- National Alzheimer's Coordinating CenterDepartment of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Erin L. Abner
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of Epidemiology and Environmental HealthUniversity of KentuckyLexingtonKentuckyUSA
| | - Peter T. Nelson
- Sanders‐Brown Center on AgingUniversity of KentuckyLexingtonKentuckyUSA
- Department of PathologyDivision of NeuropathologyUniversity of KentuckyLexingtonKentuckyUSA
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Voigt RM, Ouyang B, Keshavarzian A. Outdoor Nighttime Light Exposure (Light Pollution) is Associated with Alzheimer's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.14.24302831. [PMID: 38405987 PMCID: PMC10889016 DOI: 10.1101/2024.02.14.24302831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Alzheimer's disease (AD) prevalence has increased in the last century which can be attributed to increased lifespan, but environment is also important. This study evaluated the relationship between outdoor nighttime light exposure and AD prevalence in the United States. Higher outdoor nighttime light was associated with higher prevalence of AD. While atrial fibrillation, diabetes, hyperlipidemia, hypertension, and stroke were associated more strongly with AD prevalence than nighttime light intensity, nighttime light was more strongly associated with AD prevalence than alcohol abuse, chronic kidney disease, depression, heart failure, and obesity. Startlingly, nighttime light exposure more strongly associated with AD prevalence in those under the age of 65 than any other disease factor examined. These data indicate a need to investigate how nighttime light exposure influences AD pathogenesis.
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Affiliation(s)
- Robin M Voigt
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center; Chicago, IL, USA
- Department of Internal Medicine, Rush University Medical Center; Chicago, IL, USA
- Department of Anatomy & Cell Biology, Rush University Medical Center; Chicago, IL, USA
| | - Bichun Ouyang
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Ali Keshavarzian
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center; Chicago, IL, USA
- Department of Internal Medicine, Rush University Medical Center; Chicago, IL, USA
- Department of Anatomy & Cell Biology, Rush University Medical Center; Chicago, IL, USA
- Department of Physiology, Rush University Medical Center, Chicago, IL, USA
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Raulin AC, Doss SV, Heckman MG, Craver EC, Li Z, Ikezu TC, Sekiya H, Liu CC, Martens YA, Rosenberg CL, Kuchenbecker LA, DeTure M, Reichard RR, Nguyen AT, Constantopoulos E, Larsen RA, Kounaves EK, Murray ME, Dickson DW, Petersen RC, Bu G, Kanekiyo T. Impact of APOE on amyloid and tau accumulation in argyrophilic grain disease and Alzheimer's disease. Acta Neuropathol Commun 2024; 12:25. [PMID: 38336940 PMCID: PMC10854035 DOI: 10.1186/s40478-024-01731-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/08/2024] [Indexed: 02/12/2024] Open
Abstract
Alzheimer's disease (AD), characterized by the deposition of amyloid-β (Aβ) in senile plaques and neurofibrillary tangles of phosphorylated tau (pTau), is increasingly recognized as a complex disease with multiple pathologies. AD sometimes pathologically overlaps with age-related tauopathies such as four repeat (4R)-tau predominant argyrophilic grain disease (AGD). While AGD is often detected with AD pathology, the contribution of APOE4 to AGD risk is not clear despite its robust effects on AD pathogenesis. Specifically, how APOE genotype influences Aβ and tau pathology in co-occurring AGD and AD has not been fully understood. Using postmortem brain samples (N = 353) from a neuropathologically defined cohort comprising of cases with AD and/or AGD pathology built to best represent different APOE genotypes, we measured the amounts of major AD-related molecules, including Aβ40, Aβ42, apolipoprotein E (apoE), total tau (tTau), and pTau181, in the temporal cortex. The presence of tau lesions characteristic of AD (AD-tau) was correlated with cognitive decline based on Mini-Mental State Examination (MMSE) scores, while the presence of AGD tau lesions (AGD-tau) was not. Interestingly, while APOE4 increased the risk of AD-tau pathology, it did not increase the risk of AGD-tau pathology. Although APOE4 was significantly associated with higher levels of insoluble Aβ40, Aβ42, apoE, and pTau181, the APOE4 effect was no longer detected in the presence of AGD-tau. We also found that co-occurrence of AGD with AD was associated with lower insoluble Aβ42 and pTau181 levels. Overall, our findings suggest that different patterns of Aβ, tau, and apoE accumulation mediate the development of AD-tau and AGD-tau pathology, which is affected by APOE genotype.
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Affiliation(s)
| | - Sydney V Doss
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Michael G Heckman
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Emily C Craver
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Zonghua Li
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Tadafumi C Ikezu
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Hiroaki Sekiya
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Chia-Chen Liu
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
- Biogen, Cambridge, MA, 02142, USA
| | - Yuka A Martens
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
- SciNeuro Pharmaceuticals, Rockville, MD, 20850, USA
| | | | | | - Michael DeTure
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - R Ross Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Aivi T Nguyen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Eleni Constantopoulos
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Rachel A Larsen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Emmaline K Kounaves
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Melissa E Murray
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | | | - Guojun Bu
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
- Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
| | - Takahisa Kanekiyo
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA.
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Lee YG, Jeon S, Kang SW, Ye BS. Effects of amyloid beta and dopaminergic depletion on perfusion and clinical symptoms. Alzheimers Dement 2023; 19:5719-5729. [PMID: 37422287 DOI: 10.1002/alz.13379] [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: 02/14/2023] [Revised: 05/23/2023] [Accepted: 06/07/2023] [Indexed: 07/10/2023]
Abstract
INTRODUCTION Although mixed pathologies are common in Alzheimer's disease (AD) and dementia with Lewy bodies (DLB), the effects of amyloid beta and dopaminergic depletion on brain perfusion and clinical symptoms have not been elucidated. METHODS In 99 cognitive impairment patients due to AD and/or DLB and 32 controls, 18F-florbetaben (FBB) and dual-phase dopamine transporter (DAT) positron emission tomography (PET) were performed to measure the FBB standardized uptake value ratio (SUVR), striatal DAT uptakes, and brain perfusion. RESULTS Higher FBB-SUVR and lower ventral striatal DAT uptake were intercorrelated and, respectively, associated with left entorhinal/temporo-parietal-centered hypoperfusion and vermis/hippocampal-centered hyperperfusion, whereas regional perfusion mediated clinical symptoms and cognition. DISCUSSION Amyloid beta deposition and striatal dopaminergic depletion contribute to regional perfusion changes, clinical symptoms, and cognition in the spectrum of normal aging and cognitive impairment due to AD and/or LBD. HIGHLIGHTS Amyloid beta (Aβ) deposition was associated with ventral striatal dopaminergic depletion. Aβ deposition and dopaminergic depletion correlated with perfusion. Aβ deposition correlated with hypoperfusion centered in the left entorhinal cortex. Dopaminergic depletion correlated with hyperperfusion centered in the vermis. Perfusion mediated the Aβ deposition/dopaminergic depletion's effects on cognition.
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Affiliation(s)
- Young-Gun Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Department of Neurology, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Seun Jeon
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Brain Research Institute, Yonsei University College of Medicine, Seoul, South Korea
- Metabolism-Dementia Research Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Sung Woo Kang
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Byoung Seok Ye
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Metabolism-Dementia Research Institute, Yonsei University College of Medicine, Seoul, South Korea
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Bortoletto AS, Parchem RJ. A pancreatic player in dementia: pathological role for islet amyloid polypeptide accumulation in the brain. Neural Regen Res 2023; 18:2141-2146. [PMID: 37056121 PMCID: PMC10328265 DOI: 10.4103/1673-5374.369095] [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: 12/02/2022] [Revised: 12/30/2022] [Accepted: 01/19/2023] [Indexed: 02/17/2023] Open
Abstract
Type 2 diabetes mellitus patients have a markedly higher risk of developing dementia. While multiple factors contribute to this predisposition, one of these involves the increased secretion of amylin, or islet amyloid polypeptide, that accompanies the pathophysiology of type 2 diabetes mellitus. Islet amyloid polypeptide accumulation has undoubtedly been implicated in various forms of dementia, including Alzheimer's disease and vascular dementia, but the exact mechanisms underlying islet amyloid polypeptide's causative role in dementia are unclear. In this review, we have summarized the literature supporting the various mechanisms by which islet amyloid polypeptide accumulation may cause neuronal damage, ultimately leading to the clinical symptoms of dementia. We discuss the evidence for islet amyloid polypeptide deposition in the brain, islet amyloid polypeptide interaction with other amyloids implicated in neurodegeneration, neuroinflammation caused by islet amyloid polypeptide deposition, vascular damage induced by islet amyloid polypeptide accumulation, and islet amyloid polypeptide-induced cytotoxicity. There are very few therapies approved for the treatment of dementia, and of these, clinical responses have been controversial at best. Therefore, investigating new, targetable pathways is vital for identifying novel therapeutic strategies for treating dementia. As such, we conclude this review by discussing islet amyloid polypeptide accumulation as a potential therapeutic target not only in treating type 2 diabetes mellitus but as a future target in treating or even preventing dementia associated with type 2 diabetes mellitus.
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Affiliation(s)
- Angelina S. Bortoletto
- Center for Cell and Gene Therapy, Stem Cell and Regenerative Medicine Center, Department of Neuroscience, Department of Molecular and Cellular Biology, Translational Biology and Molecular Medicine Program, Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, USA
| | - Ronald J. Parchem
- Center for Cell and Gene Therapy, Stem Cell and Regenerative Medicine Center, Department of Neuroscience, Department of Molecular and Cellular Biology, Translational Biology and Molecular Medicine Program, Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, USA
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10
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Abstract
This article describes the public health impact of Alzheimer's disease, including prevalence and incidence, mortality and morbidity, use and costs of care, and the overall impact on family caregivers, the dementia workforce and society. The Special Report examines the patient journey from awareness of cognitive changes to potential treatment with drugs that change the underlying biology of Alzheimer's. An estimated 6.7 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060 barring the development of medical breakthroughs to prevent, slow or cure AD. Official death certificates recorded 121,499 deaths from AD in 2019, and Alzheimer's disease was officially listed as the sixth-leading cause of death in the United States. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2019, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 145%. This trajectory of deaths from AD was likely exacerbated by the COVID-19 pandemic in 2020 and 2021. More than 11 million family members and other unpaid caregivers provided an estimated 18 billion hours of care to people with Alzheimer's or other dementias in 2022. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $339.5 billion in 2022. Its costs, however, extend to family caregivers' increased risk for emotional distress and negative mental and physical health outcomes - costs that have been aggravated by COVID-19. Members of the paid health care workforce are involved in diagnosing, treating and caring for people with dementia. In recent years, however, a shortage of such workers has developed in the United States. This shortage - brought about, in part, by COVID-19 - has occurred at a time when more members of the dementia care workforce are needed. Therefore, programs will be needed to attract workers and better train health care teams. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2023 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $345 billion. The Special Report examines whether there will be sufficient numbers of physician specialists to provide Alzheimer's care and treatment now that two drugs are available that change the underlying biology of Alzheimer's disease.
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Barreto Chang OL, Possin KL, Maze M. Age-Related Perioperative Neurocognitive Disorders: Experimental Models and Druggable Targets. Annu Rev Pharmacol Toxicol 2023; 63:321-340. [PMID: 36100220 DOI: 10.1146/annurev-pharmtox-051921-112525] [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: 01/25/2023]
Abstract
With the worldwide increase in life span, surgical patients are becoming older and have a greater propensity for postoperative cognitive impairment, either new onset or through deterioration of an existing condition; in both conditions, knowledge of the patient's preoperative cognitive function and postoperative cognitive trajectory is imperative. We describe the clinical utility of a tablet-based technique for rapid assessment of the memory and attentiveness domains required for executive function. The pathogenic mechanisms for perioperative neurocognitive disorders have been investigated in animal models in which excessive and/or prolonged postoperative neuroinflammation has emerged as a likely contender. The cellular and molecular species involved in postoperative neuroinflammation are the putative targets for future therapeutic interventions that are efficacious and do not interfere with the surgical patient's healing process.
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Affiliation(s)
- Odmara L Barreto Chang
- Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, USA;
| | - Katherine L Possin
- Memory and Aging Center, Department of Neurology, and Global Brain Health Institute, University of California San Francisco, San Francisco, California, USA
| | - Mervyn Maze
- Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, USA; .,Center for Cerebrovascular Research, University of California San Francisco, San Francisco, California, USA
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12
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Wisniewski T, Masurkar AV. Gait dysfunction in Alzheimer disease. HANDBOOK OF CLINICAL NEUROLOGY 2023; 196:267-274. [PMID: 37620073 DOI: 10.1016/b978-0-323-98817-9.00013-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of age-associated dementia and will exponentially rise in prevalence in the coming decades, supporting the parallel development of the early stage detection and disease-modifying strategies. While primarily considered as a cognitive disorder, AD also features motor symptoms, primarily gait dysfunction. Such gait abnormalities can be phenotyped across classic clinical syndromes as well as by quantitative kinematic assessments to address subtle dysfunction at preclinical and prodromal stages. As such, certain measures of gait can predict the future cognitive and functional decline. Moreover, cross-sectional and longitudinal studies have associated gait abnormalities with imaging, biofluid, and genetic markers of AD across all stages. This suggests that gait assessment is an important tool in the clinical assessment of patients across the AD spectrum, especially to help identify at-risk individuals.
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Affiliation(s)
- Thomas Wisniewski
- Department of Neurology, NYU School of Medicine, New York, NY, United States; Department of Pathology, NYU School of Medicine, New York, NY, United States; Department of Psychiatry, NYU School of Medicine, New York, NY, United States; Division of Cognitive Neurology, Center for Cognitive Neurology, NYU School of Medicine, New York, NY, United States.
| | - Arjun V Masurkar
- Department of Neurology, NYU School of Medicine, New York, NY, United States; Division of Cognitive Neurology, Center for Cognitive Neurology, NYU School of Medicine, New York, NY, United States
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13
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Xue W, He W, Yan M, Zhao H, Pi J. Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer's Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis. J Alzheimers Dis 2023; 96:705-723. [PMID: 37840493 PMCID: PMC10657707 DOI: 10.3233/jad-230559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/04/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND Patients are at increased risk of dementia, including Alzheimer's disease (AD), after myocardial infarction (MI), but the biological link between MI and AD is unclear. OBJECTIVE To understand the association between the pathogenesis of MI and AD and identify common biomarkers of both diseases. METHODS Using public databases, we identified common biomarkers of MI and AD. Least absolute shrinkage and selection operator (LASSO) regression and protein-protein interaction (PPI) network were performed to further screen hub biomarkers. Functional enrichment analyses were performed on the hub biomarkers. Single-cell/nucleus analysis was utilized to further analyze the hub biomarkers at the cellular level in carotid atherosclerosis and AD datasets. Motif enrichment analysis was used to screen key transcription factors. RESULTS 26 common differentially expressed genes were screened between MI and AD. Function enrichment analyses showed that these differentially expressed genes were mainly associated with inflammatory pathways. A key gene, Regulator of G-protein Signaling 1 (RGS1), was obtained by LASSO regression and PPI network. RGS1 was confirmed to mainly express in macrophages and microglia according to single-cell/nucleus analysis. The difference in expression of RGS1 in macrophages and microglia between disease groups and controls was statistically significant (p < 0.0001). The expression of RGS1 in the disease groups was upregulated with the differentiation of macrophages and microglia. RelA was a key transcription factor regulating RGS1. CONCLUSION Macrophages and microglia are involved in the inflammatory response of MI and AD. RGS1 may be a key biomarker in this process.
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Affiliation(s)
- Weiqi Xue
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Weifeng He
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Mengyuan Yan
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Huanyi Zhao
- First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Jianbin Pi
- Department of Cardiovascular Disease, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China
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14
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Brenowitz WD, Yaffe K. Observational studies in Alzheimer disease: bridging preclinical studies and clinical trials. Nat Rev Neurol 2022; 18:747-757. [PMID: 36316487 PMCID: PMC9894623 DOI: 10.1038/s41582-022-00733-7] [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: 09/28/2022] [Indexed: 11/29/2022]
Abstract
Recent high-profile failures of Alzheimer disease treatments at the clinical trial stage have led to renewed efforts to identify and test novel interventions for Alzheimer disease and related dementias (ADRD). In this Perspective, we highlight the importance of including well-designed observational studies as part of these efforts. Observational research is an important cornerstone for gathering evidence on risk factors and causes of ADRD; this evidence can then be combined with data from preclinical studies and randomized controlled trials to inform the development of effective interventions. Observational study designs can be particularly beneficial for hypothesis generation, posing questions that are unethical or impractical for a trial setting, studying life-course associations, research in populations typically not included in trials, and public health surveillance. Here, we discuss each of these situations in the specific context of ADRD research. We also highlight novel approaches to enhance causal inference and provide a timely discussion on how observational epidemiological studies help provide a bridge between preclinical studies and successful interventions for ADRD.
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Affiliation(s)
- Willa D Brenowitz
- Departments of Psychiatry and Behavioral Sciences, Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Behavioral Sciences, Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
- San Francisco VA Medical Center, San Francisco, CA, USA.
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15
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Godrich D, Martin ER, Schellenberg G, Pericak‐Vance MA, Cuccaro M, Scott WK, Kukull W, Montine T, Beecham GW. Neuropathological lesions and their contribution to dementia and cognitive impairment in a heterogeneous clinical population. Alzheimers Dement 2022; 18:2403-2412. [PMID: 35142102 PMCID: PMC9360193 DOI: 10.1002/alz.12516] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 09/14/2021] [Accepted: 09/22/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Alzheimer disease (AD) and related dementias are characterized by damage caused by neuropathological lesions in the brain. These include AD lesions (plaques and tangles) and non-AD lesions such as vascular injury or Lewy bodies. We report here an assessment of lesion association to dementia in a large clinic-based population. METHODS We identified 5272 individuals with neuropathological data from the National Alzheimer's Coordinating Center. Individual lesions, as well as a neuropathological composite score (NPCS) were tested for association with dementia, and both functional and neurocognitive impairment using regression models. RESULTS Most individuals exhibited mixed pathologies, especially AD lesions in combination with non-AD lesions. All lesion types were associated with one or more clinical outcomes; most even while controlling for AD pathology. The NPCS was also associated with clinical outcomes. DISCUSSION These data suggest mixed-type pathologies are extremely common in a clinic-based population and may contribute to dementia and cognitive impairment.
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Affiliation(s)
- Dana Godrich
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Eden R. Martin
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Gerard Schellenberg
- Penn Neurodegeneration Genomics CenterDepartment of Pathology and Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Margaret A. Pericak‐Vance
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Michael Cuccaro
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - William K. Scott
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Walter Kukull
- Department of EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Thomas Montine
- Department of PathologyStanford UniversityStanfordCaliforniaUSA
| | - Gary W. Beecham
- Dr. John T MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
- John P. Hussman Institute for Human GenomicsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
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16
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Zhang S, Zhen K, Su Q, Chen Y, Lv Y, Yu L. The Effect of Aerobic Exercise on Cognitive Function in People with Alzheimer's Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192315700. [PMID: 36497772 PMCID: PMC9736612 DOI: 10.3390/ijerph192315700] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 05/25/2023]
Abstract
A growing body of research has examined the effect of aerobic exercise on cognitive function in people with Alzheimer's Disease (AD), but the findings of the available studies were conflicting. The aim of this study was to explore the effect of aerobic exercise on cognitive function in AD patients. Searches were performed in PubMed, Web of Science, and EBSCO databases from the inception of indexing until 12 November 2021. Cochrane risk assessment tool was used to evaluate the methodological quality of the included literature. From 1942 search records initially identified, 15 randomized controlled trials (RCTs) were considered eligible for systematic review and meta-analysis. Included studies involved 503 participants in 16 exercise groups (mean age: 69.2-84 years) and 406 participants (mean age: 68.9-84 years) in 15 control groups. There was a significant effect of aerobic exercise on increasing mini-mental state examination (MMSE) score in AD patients [weighted mean difference (WMD), 1.50 (95% CI, 0.55 to 2.45), p = 0.002]. Subgroup analyses showed that interventions conducted 30 min per session [WMD, 2.52 (95% CI, 0.84 to 4.20), p = 0.003], less than 150 min per week [WMD, 2.10 (95% CI, 0.84 to 3.37), p = 0.001], and up to three times per week [WMD, 1.68 (95% CI, 0.46 to 2.89), p = 0.007] increased MMSE score significantly. In addition, a worse basal cognitive status was associated with greater improvement in MMSE score. Our analysis indicated that aerobic exercise, especially conducted 30 min per session, less than 150 min per week, and up to three times per week, contributed to improving cognitive function in AD patients. Additionally, a worse basal cognitive status contributed to more significant improvements in cognitive function.
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Affiliation(s)
- Shiyan Zhang
- Key Laboratory of Physical Fitness and Exercise, Ministry of Education, Beijing Sport University, Beijing 100084, China
- Department of Sports Performance, Beijing Sport University, Beijing 100084, China
| | - Kai Zhen
- Key Laboratory of Physical Fitness and Exercise, Ministry of Education, Beijing Sport University, Beijing 100084, China
- Department of Sports Performance, Beijing Sport University, Beijing 100084, China
| | - Qing Su
- Ersha Sports Training Center of Guangdong Province, Guangzhou 510100, China
| | - Yiyan Chen
- Department of Sports Performance, Beijing Sport University, Beijing 100084, China
| | - Yuanyuan Lv
- Key Laboratory of Physical Fitness and Exercise, Ministry of Education, Beijing Sport University, Beijing 100084, China
- China Institute of Sport and Health Science, Beijing Sport University, Beijing 100084, China
| | - Laikang Yu
- Key Laboratory of Physical Fitness and Exercise, Ministry of Education, Beijing Sport University, Beijing 100084, China
- Department of Sports Performance, Beijing Sport University, Beijing 100084, China
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17
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Katsumata Y, Shade LM, Hohman TJ, Schneider JA, Bennett DA, Farfel JM, Kukull WA, Fardo DW, Nelson PT. Multiple gene variants linked to Alzheimer's-type clinical dementia via GWAS are also associated with non-Alzheimer's neuropathologic entities. Neurobiol Dis 2022; 174:105880. [PMID: 36191742 PMCID: PMC9641973 DOI: 10.1016/j.nbd.2022.105880] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/27/2022] [Accepted: 09/29/2022] [Indexed: 11/26/2022] Open
Abstract
The classic pathologic hallmarks of Alzheimer's disease (AD) are amyloid plaques and neurofibrillary tangles (AD neuropathologic changes, or ADNC). However, brains from individuals clinically diagnosed with "AD-type" (amnestic) dementia usually harbor heterogeneous neuropathologies in addition to, or other than, ADNC. We hypothesized that some AD-type dementia associated genetic single nucleotide variants (SNVs) identified from large genomewide association studies (GWAS) were associated with non-ADNC neuropathologies. To test this hypothesis, we analyzed data from multiple studies with available genotype and neuropathologic phenotype information. Clinical AD/dementia risk alleles of interest were derived from the very large GWAS by Bellenguez et al. (2022) who reported 83 clinical AD/dementia-linked SNVs in addition to the APOE risk alleles. To query the pathologic phenotypes associated with variation of those SNVs, National Alzheimer's disease Coordinating Center (NACC) neuropathologic data were linked to AD Sequencing Project (ADSP) and AD Genomics Consortium (ADGC) data. Separate data were obtained from the harmonized Religious Orders Study and the Rush Memory and Aging Project (ROSMAP). A total of 4811 European participants had at least ADNC neuropathology data and also genotype data available; data were meta-analyzed across cohorts. As expected, a subset of dementia-associated SNVs were associated with ADNC risk in Europeans-e.g., BIN1, PICALM, CR1, MME, and COX7C. Other gene variants linked to (clinical) AD dementia were associated with non-ADNC pathologies. For example, the associations of GRN and TMEM106B SNVs with limbic-predominant age-related TDP-43 neuropathologic changes (LATE-NC) were replicated. In addition, SNVs in TNIP1 and WNT3 previously reported as AD-related were instead associated with hippocampal sclerosis pathology. Some genotype/neuropathology association trends were not statistically significant at P < 0.05 after correcting for multiple testing, but were intriguing. For example, variants in SORL1 and TPCN1 showed trends for association with LATE-NC whereas Lewy body pathology trended toward association with USP6NL and BIN1 gene variants. A smaller cohort of non-European subjects (n = 273, approximately one-half of whom were African-Americans) provided the basis for additional exploratory analyses. Overall, these findings were consistent with the hypothesis that some genetic variants linked to AD dementia risk exert their affect by influencing non-ADNC neuropathologies.
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Affiliation(s)
- Yuriko Katsumata
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA; Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Lincoln M Shade
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Julie A Schneider
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Jose M Farfel
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Walter A Kukull
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - David W Fardo
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA; Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA; Department of Pathology, University of Kentucky, Lexington, KY 40536, USA.
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18
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Frank B, Ally M, Tripodis Y, Puzo C, Labriolo C, Hurley L, Martin B, Palmisano J, Chan L, Steinberg E, Turk K, Budson A, O’Connor M, Au R, Qiu WQ, Goldstein L, Kukull W, Kowall N, Killiany R, Stern R, Stein T, McKee A, Mez J, Alosco M. Trajectories of Cognitive Decline in Brain Donors With Autopsy-Confirmed Alzheimer Disease and Cerebrovascular Disease. Neurology 2022; 98:e2454-e2464. [PMID: 35444054 PMCID: PMC9231841 DOI: 10.1212/wnl.0000000000200304] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/16/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Cerebrovascular disease (CBVD) is frequently comorbid with autopsy-confirmed Alzheimer disease (AD), but its contribution to the clinical presentation of AD remains unclear. We leveraged the National Alzheimer's Coordinating Center (NACC) uniform and neuropathology datasets to compare the cognitive and functional trajectories of AD+/CBVD+ and AD+/CBVD- brain donors. METHODS The sample included NACC brain donors with autopsy-confirmed AD (Braak stage ≥3, Consortium to Establish a Registry for Alzheimer's Disease score ≥2) and complete Uniform Data Set (UDS) evaluations between 2005 and 2019, with the most recent UDS evaluation within 2 years of autopsy. CBVD was defined as moderate to severe arteriosclerosis or atherosclerosis. We used propensity score weighting to isolate the effects of comorbid AD and CBVD. This method improved the balance of covariates between the AD+/CBVD+ and AD+/CBVD- groups. Longitudinal mixed-effects models were assessed with robust bayesian estimation. UDS neuropsychological test and the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) scores were primary outcomes. RESULTS Of 2,423 brain donors, 1,476 were classified as AD+/CBVD+. Compared with AD+/CVBD- donors, the AD+/CBVD+ group had accelerated decline (i.e., group × time effects) on measures of processing speed (β = -0.93, 95% CI -1.35, -0.51, Bayes factor [BF] 130.75), working memory (β = 0.05, 95% CI 0.02, 0.07, BF 3.59), verbal fluency (β = 0.10, 95% CI 0.04, 0.15, BF 1.28), naming (β = 0.09, 95% CI 0.03, 0.16, BF = 0.69), and CDR-SB (β = -0.08, 95% CI -0.12, -0.05, BF 18.11). Effects ranged from weak (BFs <3.0) to strong (BFs <150). We also found worse performance in the AD+/CBVD+ group across time on naming (β = -1.04, 95% CI -1.83, -0.25, BF 2.52) and verbal fluency (β = -0.73, 95% CI -1.30, -0.15, BF 1.34) and more impaired CDR-SB scores (β = 0.45, 95% CI 0.01, 0.89, BF 0.33). DISCUSSION In brain donors with autopsy-confirmed AD, comorbid CBVD was associated with an accelerated functional and cognitive decline, particularly on neuropsychological tests of attention, psychomotor speed, and working memory. CBVD magnified effects of AD neuropathology on semantic-related neuropsychological tasks. Findings support a prominent additive and more subtle synergistic effect for comorbid CBVD neuropathology in AD.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Michael Alosco
- From the Boston University Alzheimer's Disease Center and CTE Center (B.F., M. Ally, Y.T., C.P., C.L., B.M., J.P., L.C., E.S., K.T., A.B., M.O., R.A., W.Q.Q., L.G., N.K., R.K., R.S., T.S., A.M., J.M., M. Alosco), Boston University School of Medicine; Veteran Affairs Bedford Healthcare System (B.F., M.O., T.S., A.M.), Bedford; Department of Biostatistics (Y.T.), Boston University School of Public Health, MA; Yale School of Public Health (L.H.), New Haven, CT; Biostatistics and Epidemiology Data Analytics Center (B.M., J.P.), Boston University School of Public Health; Department of Neurology (K.T., A.B., R.A., N.K., R.S., A.M., J.M., M. Alosco), Boston University School of Medicine; Veterans Affairs Boston Healthcare System (K.T., A.B., N.K., T.S., A.M); Department of Anatomy & Neurobiology (R.A., R.K., R.S.), Boston University School of Medicine; MA; Framingham Heart Study (R.A.), National Heart, Lung, and Blood Institute, Bethesda, MD; Department of Epidemiology (R.A.), Boston University School of Public Health; Department of Psychiatry (W.Q.Q.), Boston University School of Medicine; Department of Pharmacology & Experimental Therapeutics (W.Q.Q.), Boston University School of Medicine; Department of Pathology and Laboratory Medicine (L.G.), Boston University School of Medicine; Departments of Psychiatry and Ophthalmology (L.G.), Boston University School of Medicine; Departments of Biomedical, Electrical & Computer Engineering (L.G.), Boston University College of Engineering, MA; National Alzheimer's Coordinating Center (W.K.), Department of Epidemiology, University of Washington, Seattle; Center for Biomedical Imaging (R.K.), and Boston University School of Medicine; Department of Neurosurgery (R.S.), Boston University School of Medicine, MA.
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19
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Kanser RJ, VandenBussche Jantz AB, Logan PM, Bailey EK, Kamper JE. Comparing Detection of Alzheimer's and Vascular Disease-Related Cognitive Impairment With Brief Cognitive Screens. J Neuropsychiatry Clin Neurosci 2022; 34:361-366. [PMID: 35578799 DOI: 10.1176/appi.neuropsych.21040091] [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] [Indexed: 11/30/2022]
Abstract
Objectives: The study compared the accuracy of the Mini-Mental State Examination (MMSE) with its modified version (3MS) in distinguishing healthy older adults from adults with cognitive impairment due to suspected Alzheimer’s disease (AD) or vascular disease (VaD). Method: Participants were 98 veterans who underwent comprehensive neuropsychological evaluation due to concern for cognitive decline. Participants were selected via retrospective chart review on the basis of diagnosis. They had diagnoses of mild or major neurocognitive disorder due to suspected AD (N=20), mild or major neurocognitive disorder due to suspected VaD (N=44), or no neurocognitive diagnosis (i.e., healthy adult comparisons; HC, N=34). Results: The 3MS demonstrated superior detection of cognitive impairment. The extent of this enhanced detection was influenced by the suspected etiology of cognitive impairment. The 3MS and MMSE had comparable discrimination of AD and HC. With respect to VaD, the 3MS showed superior discriminability compared to the MMSE. Conclusions: Overall, results support the adoption of the 3MS over that of the MMSE. The 3MS is a superior (and free) tool for detecting cognitive impairment in geriatric populations. Its use is recommended for first-line screening of cognitive symptoms in older adult populations, especially those with concern for VaD.
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Affiliation(s)
- Robert J Kanser
- Department of Mental Health & Behavioral Sciences, James A. Haley Veterans' Hospital, Tampa, Florida
| | | | - Patrick M Logan
- Department of Mental Health & Behavioral Sciences, James A. Haley Veterans' Hospital, Tampa, Florida
| | - Erin K Bailey
- Department of Mental Health & Behavioral Sciences, James A. Haley Veterans' Hospital, Tampa, Florida
| | - Joel E Kamper
- Department of Mental Health & Behavioral Sciences, James A. Haley Veterans' Hospital, Tampa, Florida
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20
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Structural covariance changes in major cortico-basal ganglia and thalamic networks in amyloid-positive patients with white matter hyperintensities. Neurobiol Aging 2022; 117:117-127. [DOI: 10.1016/j.neurobiolaging.2022.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 05/19/2022] [Accepted: 05/23/2022] [Indexed: 11/23/2022]
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21
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Gu Y, Kociolek A, Fernandez KK, Cosentino SA, Zhu CW, Jin Z, Leverenz JB, Stern YB. Clinical Trajectories at the End of Life in Dementia Patients With Alzheimer Disease and Lewy Body Neuropathologic Changes. Neurology 2022; 98:e2140-e2149. [PMID: 35379761 DOI: 10.1212/wnl.0000000000200259] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 02/04/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Evaluating and understanding the heterogeneity in dementia course has important implications for clinical practice, healthcare decision-making, and research. However, inconsistent findings have been reported with regard to the disease courses of the two most common dementias, Alzheimer's disease (AD) and Dementia with Lewy bodies (DLB). Using autopsy-confirmed diagnoses, we aimed to examine the disease trajectories in the years before death among dementia patients with pure AD, pure DLB, or mixed (AD and DLB) pathologies. METHODS The current retrospective longitudinal study included 62 participants with autopsy-confirmed diagnoses of pure AD (n=34), mixed AD and DLB (AD+DLB, n = 17), or pure DLB (n=11) from the Predictors 2 Cohort Study, a prospective, clinic-based, cohort of dementia patients. Generalized estimating equation models, with time zero at death, were used to examine the trajectory of cognition (Folstein Mini-Mental State Examination, MMSE), function (Activities of Daily Living, ADL), and dependence scale among patients with different autopsy-confirmed diagnosis (pure AD, AD+DLB, and pure DLB). The models were adjusted for age, sex, education, and baseline features including extrapyramidal signs, MMSE, ADL, and dependence scale. RESULTS The participants on average received 9.4±4.6 assessments at 6-month intervals during a mean 5.4±2.9 years of follow-up time. The three groups were similar in both cognition and function status at baseline. Cognition and function were highly correlated among AD+DLB patients but not in pure AD or pure DLB patients at baseline. Patients of the three groups all declined in both cognition and function but had different trajectories of decline. More specifically, the pure DLB patients experienced approximately double the rate of both cognitive decline and functional decline than the pure AD patients, and the mixed pathology group showed double the rate of functional decline as compared to pure AD patients. DISCUSSION In this longitudinal study, we found that among patients with dementia, those with Lewy body pathology experienced faster cognitive and functional decline than those with pure AD pathology.
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Affiliation(s)
- Yian Gu
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA .,Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA.,Taub Institute for Research in Alzheimer's Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA.,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Anton Kociolek
- Taub Institute for Research in Alzheimer's Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| | - Kayri K Fernandez
- Taub Institute for Research in Alzheimer's Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| | - Stephanie A Cosentino
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.,Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA.,Taub Institute for Research in Alzheimer's Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| | - Carolyn Wei Zhu
- Department of Geriatrics and Palliative Care, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Geriatrics Research, Education, and Clinical Center (GRECC), James J Peters VA Medical Center, Bronx, NY, USA
| | - Zhezhen Jin
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA
| | - James B Leverenz
- Cleveland Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, OH, USA
| | - Yaakov B Stern
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.,Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA.,Taub Institute for Research in Alzheimer's Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
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22
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Soto-Martin M, Foff EP, Devanand DP. Relapse in Dementia-related Psychosis and Clinical Decisions. Alzheimer Dis Assoc Disord 2022; 36:180-184. [PMID: 35137699 PMCID: PMC9132239 DOI: 10.1097/wad.0000000000000480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 10/25/2021] [Indexed: 11/25/2022]
Abstract
Patients with dementia can experience hallucinations and delusions because of their underlying neurodegenerative condition, a syndrome known as dementia-related psychosis. Dementia-related psychosis contributes to morbidity and mortality among patients with dementia and increases the burden on caregivers and the health care system. With no pharmacological treatment currently approved in the United States for this condition, patients are often treated off-label with antipsychotics. Though typical and atypical antipsychotics have demonstrated variable to modest efficacy in dementia-related psychosis, serious safety concerns arise with their use. Accordingly, clinical and Centers for Medicare & Medicaid Services guidelines recommend trying antipsychotics only when other therapies have failed and encourage treatment discontinuation of antipsychotics after 4 months to assess whether ongoing therapy is needed. Discontinuation of effective antipsychotic treatment, however, may increase the risk for relapse of symptoms and the associated morbidities that accompany relapse. A randomized medication withdrawal clinical trial design allows assessment of relapse risk after discontinuation and can provide initial information on longer-term safety of therapy for dementia-related psychosis. Given the substantial unmet need in this condition, new, well-tolerated therapies that offer acute and sustained reduction of symptoms while also preventing recurrence of symptoms of psychosis are critically needed.
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Affiliation(s)
- Maria Soto-Martin
- Alzheimer Clinical and Research Centre, Gérontopôle, Toulouse University Hospital, Toulouse, France
| | - Erin P. Foff
- Acadia Pharmaceuticals Inc., Princeton, NJ at the time this work was completed
| | - Davangere P. Devanand
- Departments of Psychiatry and Neurology, Columbia University Medical Center, New York, NY
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23
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Abstract
This article describes the public health impact of Alzheimer's disease (AD), including incidence and prevalence, mortality and morbidity, use and costs of care, and the overall impact on family caregivers, the dementia workforce and society. The Special Report discusses consumers' and primary care physicians' perspectives on awareness, diagnosis and treatment of mild cognitive impairment (MCI), including MCI due to Alzheimer's disease. An estimated 6.5 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060 barring the development of medical breakthroughs to prevent, slow or cure AD. Official death certificates recorded 121,499 deaths from AD in 2019, the latest year for which data are available. Alzheimer's disease was officially listed as the sixth-leading cause of death in the United States in 2019 and the seventh-leading cause of death in 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2019, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 145%. More than 11 million family members and other unpaid caregivers provided an estimated 16 billion hours of care to people with Alzheimer's or other dementias in 2021. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $271.6 billion in 2021. Its costs, however, extend to family caregivers' increased risk for emotional distress and negative mental and physical health outcomes - costs that have been aggravated by COVID-19. Members of the dementia care workforce have also been affected by COVID-19. As essential care workers, some have opted to change jobs to protect their own health and the health of their families. However, this occurs at a time when more members of the dementia care workforce are needed. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2022 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $321 billion. A recent survey commissioned by the Alzheimer's Association revealed several barriers to consumers' understanding of MCI. The survey showed low awareness of MCI among Americans, a reluctance among Americans to see their doctor after noticing MCI symptoms, and persistent challenges for primary care physicians in diagnosing MCI. Survey results indicate the need to improve MCI awareness and diagnosis, especially in underserved communities, and to encourage greater participation in MCI-related clinical trials.
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24
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Fisher RA, Miners JS, Love S. Pathological changes within the cerebral vasculature in Alzheimer's disease: New perspectives. Brain Pathol 2022; 32:e13061. [PMID: 35289012 PMCID: PMC9616094 DOI: 10.1111/bpa.13061] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/11/2022] [Accepted: 02/21/2022] [Indexed: 12/14/2022] Open
Abstract
Cerebrovascular disease underpins vascular dementia (VaD), but structural and functional changes to the cerebral vasculature contribute to disease pathology and cognitive decline in Alzheimer's disease (AD). In this review, we discuss the contribution of cerebral amyloid angiopathy and non‐amyloid small vessel disease in AD, and the accompanying changes to the density, maintenance and remodelling of vessels (including alterations to the composition and function of the cerebrovascular basement membrane). We consider how abnormalities of the constituent cells of the neurovascular unit – particularly of endothelial cells and pericytes – and impairment of the blood‐brain barrier (BBB) impact on the pathogenesis of AD. We also discuss how changes to the cerebral vasculature are likely to impair Aβ clearance – both intra‐periarteriolar drainage (IPAD) and transport of Aβ peptides across the BBB, and how impaired neurovascular coupling and reduced blood flow in relation to metabolic demand increase amyloidogenic processing of APP and the production of Aβ. We review the vasoactive properties of Aβ peptides themselves, and the probable bi‐directional relationship between vascular dysfunction and Aβ accumulation in AD. Lastly, we discuss recent methodological advances in transcriptomics and imaging that have provided novel insights into vascular changes in AD, and recent advances in assessment of the retina that allow in vivo detection of vascular changes in the early stages of AD.
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Affiliation(s)
- Robert A Fisher
- Dementia Research Group, University of Bristol Medical School, Bristol, UK
| | - J Scott Miners
- Dementia Research Group, University of Bristol Medical School, Bristol, UK
| | - Seth Love
- Dementia Research Group, University of Bristol Medical School, Bristol, UK
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25
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Montaser-Kouhsari L, Young CB, Poston KL. Neuroimaging approaches to cognition in Parkinson's disease. PROGRESS IN BRAIN RESEARCH 2022; 269:257-286. [PMID: 35248197 DOI: 10.1016/bs.pbr.2022.01.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
While direct visualization of Lewy body accumulation within the brain is not yet possible in living Parkinson's disease patients, brain imaging studies offer insights into how the buildup of Lewy body pathology impacts different regions of the brain. Unlike biological biomarkers and purely behavioral research, these brain imaging studies therefore offer a unique opportunity to relate brain localization to cognitive function and dysfunction in living patients. Magnetic resonance imaging studies can reveal physical changes in brain structure as they relate to different cognitive domains and task specific impairments. Functional imaging studies use a combination of task and resting state magnetic resonance imaging, as well as positron emission tomography and single photon emission computed tomography, and can be used to determine changes in blood flow, neuronal activation and neurochemical changes in the brain associated with PD cognition and cognitive impairments. Other unique advantages to brain imaging studies are the ability to monitor changes in brain structure and function longitudinally as patients progress and the ability to study changes in brain function when patients are exposed to different pharmacological manipulations. This is particularly true when assessing the effects of dopaminergic replacement therapy on cognitive function in Parkinson's disease patients. Together, this chapter will describe imaging studies that have helped identify structural and functional brain changes associated with cognition, cognitive impairment, and dementia in Parkinson's disease.
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Affiliation(s)
- Leila Montaser-Kouhsari
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States
| | - Christina B Young
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States; Department of Neurosurgery, Stanford University, Stanford, CA, United States.
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26
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Tang AS, Oskotsky T, Havaldar S, Mantyh WG, Bicak M, Solsberg CW, Woldemariam S, Zeng B, Hu Z, Oskotsky B, Dubal D, Allen IE, Glicksberg BS, Sirota M. Deep phenotyping of Alzheimer's disease leveraging electronic medical records identifies sex-specific clinical associations. Nat Commun 2022; 13:675. [PMID: 35115528 PMCID: PMC8814236 DOI: 10.1038/s41467-022-28273-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 01/18/2022] [Indexed: 12/14/2022] Open
Abstract
Alzheimer's Disease (AD) is a neurodegenerative disorder that is still not fully understood. Sex modifies AD vulnerability, but the reasons for this are largely unknown. We utilize two independent electronic medical record (EMR) systems across 44,288 patients to perform deep clinical phenotyping and network analysis to gain insight into clinical characteristics and sex-specific clinical associations in AD. Embeddings and network representation of patient diagnoses demonstrate greater comorbidity interactions in AD in comparison to matched controls. Enrichment analysis identifies multiple known and new diagnostic, medication, and lab result associations across the whole cohort and in a sex-stratified analysis. With this data-driven method of phenotyping, we can represent AD complexity and generate hypotheses of clinical factors that can be followed-up for further diagnostic and predictive analyses, mechanistic understanding, or drug repurposing and therapeutic approaches.
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Affiliation(s)
- Alice S Tang
- Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA.
- Graduate Program in Bioengineering, UCSF, San Francisco, CA, USA.
- School of Medicine, UCSF, San Francisco, CA, USA.
| | - Tomiko Oskotsky
- Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA
- Department of Pediatrics, UCSF, San Francisco, CA, USA
| | - Shreyas Havaldar
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - William G Mantyh
- Department of Neurology, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Mesude Bicak
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Caroline Warly Solsberg
- Pharmaceutical Sciences and Pharmacogenomics, UCSF, San Francisco, CA, USA
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Memory and Aging Center, UCSF, San Francisco, CA, USA
| | - Sarah Woldemariam
- Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA
| | - Billy Zeng
- School of Medicine, UCSF, San Francisco, CA, USA
| | - Zicheng Hu
- Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA
| | - Boris Oskotsky
- Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA
| | - Dena Dubal
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Isabel E Allen
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, USA
| | - Benjamin S Glicksberg
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marina Sirota
- Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA.
- Department of Pediatrics, UCSF, San Francisco, CA, USA.
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27
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Lithgow BJ, Dastgheib Z, Moussavi Z. Baseline Prediction of rTMS efficacy in Alzheimer patients. Psychiatry Res 2022; 308:114348. [PMID: 34952254 DOI: 10.1016/j.psychres.2021.114348] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/13/2021] [Accepted: 12/16/2021] [Indexed: 10/19/2022]
Abstract
Repetitive transcranial magnetic stimulation (rTMS) with extensive 2-6-week protocols are applied to improve cognition and/or slow the cognitive decline seen in Alzheimer's Disease (AD). To date, there are no means to predict the response of a patient to rTMS treatment at baseline. Electrovestibulography (EVestG) biomarkers can be used to predict, at baseline, the efficacy of rTMS when applied to AD individuals. In a population of 27 AD patients (8 with significant cerebrovascular symptomatology, labelled ADcvd) EVestG signals were measured before and after rTMS treatment, and then compared with 16 age-matched healthy controls. MoCA was measured at baseline, whilst ADAS-Cog was the primary outcome measure. AD severity and comorbid cerebrovascular disease were treated as covariates. Using ADAS-Cog total score change, 13/27 AD/ADcvd patients improved with rTMS and 14/27 showed no-improvement. Leave-one-out-cross-validated linear-discriminant-analysis using two EVestG features yielded a blind accuracy of 75% for separating the improved and non-improved populations. Three-way separation of improved/non-improved/control accuracy was 91.9% using MoCA (67% alone) and one EVestG feature (66% alone). AD severity affects the rTMS treatment efficacy. The effect of existing significant cerebrovascular symptomatology on the efficacy of rTMS treatment remains unresolved. Baseline EVestG features can be predictive of the efficacy of rTMS treatment.
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Affiliation(s)
- Brian J Lithgow
- Diagnostic and Neurosignal Processing Research Laboratory, Biomedical Engineering Program, University of Manitoba, Riverview Health Centre, Manitoba, Canada; Monash Alfred Psychiatry Research Centre, Victoria, Australia.
| | - Zeinab Dastgheib
- Diagnostic and Neurosignal Processing Research Laboratory, Biomedical Engineering Program, University of Manitoba, Riverview Health Centre, Manitoba, Canada
| | - Zahra Moussavi
- Diagnostic and Neurosignal Processing Research Laboratory, Biomedical Engineering Program, University of Manitoba, Riverview Health Centre, Manitoba, Canada
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28
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Roh HW, Kim NR, Lee DG, Cheong JY, Seo SW, Choi SH, Kim EJ, Cho SH, Kim BC, Kim SY, Kim EY, Chang J, Lee SY, Yoon D, Choi JW, An YS, Kang HY, Shin H, Park B, Son SJ, Hong CH. Baseline Clinical and Biomarker Characteristics of Biobank Innovations for Chronic Cerebrovascular Disease With Alzheimer's Disease Study: BICWALZS. Psychiatry Investig 2022; 19:100-109. [PMID: 35042283 PMCID: PMC8898610 DOI: 10.30773/pi.2021.0335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 11/03/2021] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE We aimed to present the study design and baseline cross-sectional participant characteristics of biobank innovations for chronic cerebrovascular disease with Alzheimer's disease study (BICWALZS) participants. METHODS A total of 1,013 participants were enrolled in BICWALZS from October 2016 to December 2020. All participants underwent clinical assessments, basic blood tests, and standardized neuropsychological tests (n=1,013). We performed brain magnetic resonance imaging (MRI, n=817), brain amyloid positron emission tomography (PET, n=713), single nucleotide polymorphism microarray chip (K-Chip, n=949), locomotor activity assessment (actigraphy, n=200), and patient-derived dermal fibroblast sampling (n=175) on a subset of participants. RESULTS The mean age was 72.8 years, and 658 (65.0%) were females. Based on clinical assessments, total of 168, 534, 211, 80, and 20 had subjective cognitive decline, mild cognitive impairment (MCI), Alzheimer's dementia, vascular dementia, and other types of dementia or not otherwise specified, respectively. Based on neuroimaging biomarkers and cognition, 199, 159, 78, and 204 were cognitively normal (CN), Alzheimer's disease (AD)-related cognitive impairment, vascular cognitive impairment, and not otherwise specified due to mixed pathology (NOS). Each group exhibited many differences in various clinical, neuropsychological, and neuroimaging results at baseline. Baseline characteristics of BICWALZS participants in the MCI, AD, and vascular dementia groups were generally acceptable and consistent with 26 worldwide dementia cohorts and another independent AD cohort in Korea. CONCLUSION The BICWALZS is a prospective and longitudinal study assessing various clinical and biomarker characteristics in older adults with cognitive complaints. Details of the recruitment process, methodology, and baseline assessment results are described in this paper.
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Affiliation(s)
- Hyun Woong Roh
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Na-Rae Kim
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Dong-Gi Lee
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Jae-Youn Cheong
- Department of Gastroenterology, Ajou University School of Medicine, Suwon, Republic of Korea.,Human Genome Research and Bio-Resource Center, Ajou University Medical Center, Suwon, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Soo Hyun Cho
- Department of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Byeong C Kim
- Department of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Seong Yoon Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Eun Young Kim
- Department of Brain Science, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Jaerak Chang
- Department of Brain Science, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Sang Yoon Lee
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea
| | - Dukyong Yoon
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Jin Wook Choi
- Department of Radiology, Ajou University School of Medicine, Seoul, Republic of Korea
| | - Young-Sil An
- Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Hee Young Kang
- Department of Dermatology, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Hyunjung Shin
- Department of Industrial Engineering, Ajou University, Suwon, Republic of Korea.,Department of Artificial Intelligence, Ajou University, Suwon, Republic of Korea
| | - Bumhee Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.,Office of Biostatistics, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea
| | - Sang Joon Son
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Chang Hyung Hong
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
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29
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Paasila PJ, Aramideh JA, Sutherland GT, Graeber MB. Synapses, Microglia, and Lipids in Alzheimer's Disease. Front Neurosci 2022; 15:778822. [PMID: 35095394 PMCID: PMC8789683 DOI: 10.3389/fnins.2021.778822] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/06/2021] [Indexed: 12/17/2022] Open
Abstract
Alzheimer's disease (AD) is characterised by synaptic dysfunction accompanied by the microscopically visible accumulation of pathological protein deposits and cellular dystrophy involving both neurons and glia. Late-stage AD shows pronounced loss of synapses and neurons across several differentially affected brain regions. Recent studies of advanced AD using post-mortem brain samples have demonstrated the direct involvement of microglia in synaptic changes. Variants of the Apolipoprotein E and Triggering Receptors Expressed on Myeloid Cells gene represent important determinants of microglial activity but also of lipid metabolism in cells of the central nervous system. Here we review evidence that may help to explain how abnormal lipid metabolism, microglial activation, and synaptic pathophysiology are inter-related in AD.
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Affiliation(s)
- Patrick J. Paasila
- Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
| | - Jason A. Aramideh
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Greg T. Sutherland
- Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Manuel B. Graeber
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
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30
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Pathak N, Vimal SK, Tandon I, Agrawal L, Hongyi C, Bhattacharyya S. Neurodegenerative Disorders of Alzheimer, Parkinsonism, Amyotrophic Lateral Sclerosis and Multiple Sclerosis: An Early Diagnostic Approach for Precision Treatment. Metab Brain Dis 2022; 37:67-104. [PMID: 34719771 DOI: 10.1007/s11011-021-00800-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 07/11/2021] [Indexed: 12/21/2022]
Abstract
Neurodegenerative diseases (NDs) are characterised by progressive dysfunction of synapses, neurons, glial cells and their networks. Neurodegenerative diseases can be classified according to primary clinical features (e.g., dementia, parkinsonism, or motor neuron disease), anatomic distribution of neurodegeneration (e.g., frontotemporal degenerations, extrapyramidal disorders, or spinocerebellar degenerations), or principal molecular abnormalities. The most common neurodegenerative disorders are amyloidosis, tauopathies, a-synucleinopathy, and TAR DNA-binding protein 43 (TDP-43) proteopathy. The protein abnormalities in these disorders have abnormal conformational properties along with altered cellular mechanisms, and they exhibit motor deficit, mitochondrial malfunction, dysfunctions in autophagic-lysosomal pathways, synaptic toxicity, and more emerging mechanisms such as the roles of stress granule pathways and liquid-phase transitions. Finally, for each ND, microglial cells have been reported to be implicated in neurodegeneration, in particular, because the microglial responses can shift from neuroprotective to a deleterious role. Growing experimental evidence suggests that abnormal protein conformers act as seed material for oligomerization, spreading from cell to cell through anatomically connected neuronal pathways, which may in part explain the specific anatomical patterns observed in brain autopsy sample. In this review, we mention the human pathology of select neurodegenerative disorders, focusing on how neurodegenerative disorders (i.e., Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and multiple sclerosis) represent a great healthcare problem worldwide and are becoming prevalent because of the increasing aged population. Despite many studies have focused on their etiopathology, the exact cause of these diseases is still largely unknown and until now with the only available option of symptomatic treatments. In this review, we aim to report the systematic and clinically correlated potential biomarker candidates. Although future studies are necessary for their use in early detection and progression in humans affected by NDs, the promising results obtained by several groups leads us to this idea that biomarkers could be used to design a potential therapeutic approach and preclinical clinical trials for the treatments of NDs.
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Affiliation(s)
- Nishit Pathak
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China
| | - Sunil Kumar Vimal
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China
| | - Ishi Tandon
- Amity University Jaipur, Rajasthan, Jaipur, Rajasthan, India
| | - Lokesh Agrawal
- Graduate School of Comprehensive Human Sciences, Kansei Behavioural and Brain Sciences, University of Tsukuba, 1-1-1, Tennodai, Tsukuba, Ibaraki, 305-8577, Japan
| | - Cao Hongyi
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China
| | - Sanjib Bhattacharyya
- Department of Pharmaceutical Sciences and Chinese Traditional Medicine, Southwest University, Beibei, Chongqing, 400715, People's Republic of China.
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31
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Duara R, Barker W. Heterogeneity in Alzheimer's Disease Diagnosis and Progression Rates: Implications for Therapeutic Trials. Neurotherapeutics 2022; 19:8-25. [PMID: 35084721 PMCID: PMC9130395 DOI: 10.1007/s13311-022-01185-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2022] [Indexed: 01/03/2023] Open
Abstract
The clinical presentation and the pathological processes underlying Alzheimer's disease (AD) can be very heterogeneous in severity, location, and composition including the amount and distribution of AB deposition and spread of neurofibrillary tangles in different brain regions resulting in atypical clinical patterns and the existence of distinct AD variants. Heterogeneity in AD may be related to demographic factors (such as age, sex, educational and socioeconomic level) and genetic factors, which influence underlying pathology, the cognitive and behavioral phenotype, rate of progression, the occurrence of neuropsychiatric features, and the presence of comorbidities (e.g., vascular disease, neuroinflammation). Heterogeneity is also manifest in the individual resilience to the development of neuropathology (brain reserve) and the ability to compensate for its cognitive and functional impact (cognitive and functional reserve). The variability in specific cognitive profiles and types of functional impairment may be associated with different progression rates, and standard measures assessing progression may not be equivalent for individual cognitive and functional profiles. Other factors, which may govern the presence, rate, and type of progression of AD, include the individuals' general medical health, the presence of specific systemic conditions, and lifestyle factors, including physical exercise, cognitive and social stimulation, amount of leisure activities, environmental stressors, such as toxins and pollution, and the effects of medications used to treat medical and behavioral conditions. These factors that affect progression are important to consider while designing a clinical trial to ensure, as far as possible, well-balanced treatment and control groups.
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Affiliation(s)
- Ranjan Duara
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
- Departments of Neurology, University of Florida College of Medicine, Gainesville, FL, USA
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Warren Barker
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA.
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32
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Yadav G, Ansari TM, Shamim A, Roy S, Khan MMU, Ahsan F, Shariq M, Parveen S, Wasim R. Herbal Plethora for Management of Neurodegenerative Disorders:
An Invigorating Outlook. CURRENT NUTRITION & FOOD SCIENCE 2022. [DOI: 10.2174/1573401317666210913094938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Objective:
Oxidative stress, proteasomal impairment, mitochondrial dysfunction,
and accumulation of abnormal protein aggregates have shovelled a major section of the senior
population towards neurodegenerative disorders. Although age, genetic and environmental factors
are thought to play a significant role, drug abuse is considered to be a potent trigger in
Parkinsonism among the young generation. The present study is a critical examination of herbal
resources for attenuation of neurodegeneration.
Materials and Methods:
The following electronic databases have been used to search for literature:
MEDLINE, Scopus, PubMed, and EMBASE
Results :
Paying heed to the prevalence of neurodegenerative disorders such as Alzheimer’s and
Parkinson’s, the current review encompasses the pathogenesis of neurodegeneration at the cellular
level and possible prospects to overcome the challenge sailing through the ocean of herbal
boon. The United States’s Alzheimer’s Association states that deaths attributable to heart disease
in the country fell by 11% between 2000 and 2015, while deaths from neurodegenerative
diseases increased by a staggering 123% making it, the world’s sixth-leading cause of death.
The irreversible pathological damage amounts to cognitive loss, dementia, Amyotrophic lateral
sclerosis (ALS), Parkinson’s disease (PD) Alzheimer’s disease (AD).
Various herbal drugs like Brahmi, Shankhpushpi, and Amla are reported to be rich in phytoconstituents
like flavonoids, glycosides, alkaloids, fatty acids, sterols, tannins, saponins, and
terpenes that have remarkable antioxidant potential and could be explored for the same to prevent
neuronal necrosis.
Conclusion:
It is also believed that herbal medicines are more effective and less toxic than
synthetic drugs.
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Affiliation(s)
- Garima Yadav
- Faculty of Pharmacy, Integral University, Lucknow, Uttar Pradesh 226026, India
| | | | - Arshiya Shamim
- Faculty of Pharmacy, Integral University, Lucknow, Uttar Pradesh 226026, India
| | - Supriya Roy
- Amity Institute of Pharmacy,
Amity University, Lucknow Campus, Uttar Pradesh 226028, India
| | - Mohd Masih Uzzaman Khan
- Department of Pharmaceutical Chemistry &
Pharmacognosy, Unaizah College of Pharmacy, Al-qassim Unaizah, Kingdom of Saudi Arabia
| | - Farogh Ahsan
- Faculty of Pharmacy, Integral University, Lucknow, Uttar Pradesh 226026, India
| | - Mohammad Shariq
- Faculty of Pharmacy, Integral University, Lucknow, Uttar Pradesh 226026, India
| | - Saba Parveen
- Faculty of Pharmacy, Integral University, Lucknow, Uttar Pradesh 226026, India
| | - Rufaida Wasim
- Faculty of Pharmacy, Integral University, Lucknow, Uttar Pradesh 226026 , India
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Hamilton CA, Matthews FE, Donaghy PC, Taylor JP, O'Brien JT, Barnett N, Olsen K, McKeith IG, Thomas AJ. Prospective predictors of decline v. stability in mild cognitive impairment with Lewy bodies or Alzheimer's disease. Psychol Med 2021; 51:2590-2598. [PMID: 32366348 DOI: 10.1017/s0033291720001130] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Mild cognitive impairment (MCI) may gradually worsen to dementia, but often remains stable for extended periods of time. Little is known about the predictors of decline to help explain this variation. We aimed to explore whether this heterogeneous course of MCI may be predicted by the presence of Lewy body (LB) symptoms in a prospectively-recruited longitudinal cohort of MCI with Lewy bodies (MCI-LB) and Alzheimer's disease (MCI-AD). METHODS A prospective cohort (n = 76) aged ⩾60 years underwent detailed assessment after recent MCI diagnosis, and were followed up annually with repeated neuropsychological testing and clinical review of cognitive status and LB symptoms. Latent class mixture modelling identified data-driven sub-groups with distinct trajectories of global cognitive function. RESULTS Three distinct trajectories were identified in the full cohort: slow/stable progression (46%), intermediate progressive decline (41%) and a small group with a much faster decline (13%). The presence of LB symptomology, and visual hallucinations in particular, predicted decline v. a stable cognitive trajectory. With time zeroed on study end (death, dementia or withdrawal) where available (n = 39), the same subgroups were identified. Adjustment for baseline functioning obscured the presence of any latent classes, suggesting that baseline function is an important parameter in prospective decline. CONCLUSIONS These results highlight some potential signals for impending decline in MCI; poorer baseline function and the presence of probable LB symptoms - particularly visual hallucinations. Identifying people with a rapid decline is important but our findings are preliminary given the modest cohort size.
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Affiliation(s)
- Calum A Hamilton
- Translational and Clinical Research Institute, Biomedical Research Building, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Fiona E Matthews
- Population Health Sciences Institute, Biomedical Research Building, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Biomedical Research Building, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Biomedical Research Building, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - John T O'Brien
- Department of Psychiatry, Level E4, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0SZ, UK
| | - Nicola Barnett
- Translational and Clinical Research Institute, Biomedical Research Building, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Kirsty Olsen
- Translational and Clinical Research Institute, Biomedical Research Building, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Ian G McKeith
- Translational and Clinical Research Institute, Biomedical Research Building, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Biomedical Research Building, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
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Bennett DA. Reducing Your Risk of Alzheimer's Dementia: Building a Better Brain as We Age. Arch Clin Neuropsychol 2021; 36:1257-1265. [PMID: 34651647 PMCID: PMC8517621 DOI: 10.1093/arclin/acab052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2021] [Indexed: 11/14/2022] Open
Abstract
Alzheimer' dementia is a large and growing public health problem. Of utmost importance for limiting the impact of the disease on society is the prevention of dementia, that is, delay onset either by years whereby death ensues prior to dementia onset. The Religious Orders Study and the Rush Memory and Aging Project are two harmonized cohort studies of aging and dementia that include organ donation at death. Ongoing since 1994 and 1997, respectively, we published on the association of numerous experiential, psychological, and medical risk factors for dementia, many of which are potentially modifiable. Here, selected findings are reviewed based on a presentation at the 2020 National Academy of Neuropsychology given virtually in Chicago in October of 2020.
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Affiliation(s)
- David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA,Corresponding author at: Rush Alzheimer’s Disease Center; 1750 W. Harrison Street, Suite 1000; Chicago, IL 60612, USA. E-mail address:
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Bai B, Vanderwall D, Li Y, Wang X, Poudel S, Wang H, Dey KK, Chen PC, Yang K, Peng J. Proteomic landscape of Alzheimer's Disease: novel insights into pathogenesis and biomarker discovery. Mol Neurodegener 2021; 16:55. [PMID: 34384464 PMCID: PMC8359598 DOI: 10.1186/s13024-021-00474-z] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 07/18/2021] [Indexed: 12/15/2022] Open
Abstract
Mass spectrometry-based proteomics empowers deep profiling of proteome and protein posttranslational modifications (PTMs) in Alzheimer's disease (AD). Here we review the advances and limitations in historic and recent AD proteomic research. Complementary to genetic mapping, proteomic studies not only validate canonical amyloid and tau pathways, but also uncover novel components in broad protein networks, such as RNA splicing, development, immunity, membrane transport, lipid metabolism, synaptic function, and mitochondrial activity. Meta-analysis of seven deep datasets reveals 2,698 differentially expressed (DE) proteins in the landscape of AD brain proteome (n = 12,017 proteins/genes), covering 35 reported AD genes and risk loci. The DE proteins contain cellular markers enriched in neurons, microglia, astrocytes, oligodendrocytes, and epithelial cells, supporting the involvement of diverse cell types in AD pathology. We discuss the hypothesized protective or detrimental roles of selected DE proteins, emphasizing top proteins in "amyloidome" (all biomolecules in amyloid plaques) and disease progression. Comprehensive PTM analysis represents another layer of molecular events in AD. In particular, tau PTMs are correlated with disease stages and indicate the heterogeneity of individual AD patients. Moreover, the unprecedented proteomic coverage of biofluids, such as cerebrospinal fluid and serum, procures novel putative AD biomarkers through meta-analysis. Thus, proteomics-driven systems biology presents a new frontier to link genotype, proteotype, and phenotype, accelerating the development of improved AD models and treatment strategies.
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Affiliation(s)
- Bing Bai
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
- Current address: Center for Precision Medicine, Department of Laboratory Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Jiangsu 210008 Nanjing, China
| | - David Vanderwall
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
| | - Yuxin Li
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
| | - Xusheng Wang
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
- Current address: Department of Biology, University of North Dakota, ND 58202 Grand Forks, USA
| | - Suresh Poudel
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
| | - Hong Wang
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
| | - Kaushik Kumar Dey
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
| | - Ping-Chung Chen
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
| | - Ka Yang
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
| | - Junmin Peng
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, 38105 Memphis, TN USA
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Physiological separation of Alzheimer's disease and Alzheimer's disease with significant levels of cerebrovascular symptomology and healthy controls. Med Biol Eng Comput 2021; 59:1597-1610. [PMID: 34263439 DOI: 10.1007/s11517-021-02409-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 07/04/2021] [Indexed: 01/14/2023]
Abstract
Most dementia patients with a mixed dementia (MxD) diagnosis have a mix of Alzheimer's disease (AD) and vascular dementia. Electrovestibulography (EVestG) records vestibuloacoustic afferent activity. We hypothesize EVestG recordings of AD and MxD patients are different. All patients were assessed with the Montreal cognitive assessment (MoCA) and Hachinski ischemic scale (HIS) (> 4 HIS score < 7 is representative of MxD cerebrovascular symptomology). EVestG recordings were made from 26 AD, 21 MxD and 44 healthy (control) participants. Features were derived from the EVestG recordings of the average field potential and field potential interval histogram to classify the AD, MxD and control groups. Multivariate analysis was used to test the features' significance. Using a leave-one-out cross-validated linear discriminant analysis with 3 EVestG features yielded accuracies > 80% for separating pairs of AD/MxD/control. Using the MoCA assessment and 2 EVestG features, a best accuracy of 81 to 91% depending on the classifier was obtained for the 3-way identification of AD, MxD and controls. EVestG measures provide a physiological basis for identifying AD from MxD. EVestG measures are hypothesized to be partly related to channelopathies and changes in the descending input to the vestibular periphery. Four of the five AD or MxD versus control features used had significant correlations with the MoCA. This supports assertions that the pathologic changes associated with AD impact the vestibular system and further are suggestive that the postulated physiological changes behind these features have an association with cognitive decline severity.
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Edwin TH, Strand BH, Persson K, Engedal K, Selbaek G, Knapskog AB. Neuropsychiatric symptoms and comorbidity: Associations with dementia progression rate in a memory clinic cohort. Int J Geriatr Psychiatry 2021; 36:960-969. [PMID: 33462872 DOI: 10.1002/gps.5500] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 11/20/2020] [Accepted: 12/27/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVES Neuropsychiatric symptoms (NPS) are associated with dementia severity and progression rate. NPS clusters have different neurobiological underpinnings; therefore, their effect on dementia progression may differ. Furthermore, little is known about whether individual comorbidities affect progression rate. We investigated the effect of NPS clusters and individual comorbidities on dementia progression. METHODS A memory clinic cohort with all-cause dementia (N = 442) was followed for up to 3 years from diagnosis. Previously, we found trajectory groups of dementia progression in this cohort: one with slow progression and two with rapid progression. In the present study, using principal component analysis, three symptom clusters of NPS were identified on the Neuropsychiatric Inventory Questionnaire (NPI-Q): agitation, affective and psychosis symptom clusters. Data regarding comorbidity were collected by linkage to the Norwegian Patient Registry. Multinomial logistic regression was applied to explore the association between NPS clusters and comorbidity with trajectory-group membership. RESULTS Adjusted for demographics, dementia aetiology, comorbidity and cognition, we found that, at the time of dementia diagnosis, for every point within the psychosis symptom cluster of the NPI-Q, the risk of rapid progression increased by 53%; for every point within the affective symptom cluster, the risk of rapid progression increased by 29%. A previous diagnosis of mental and behavioural disorders (excluding dementia) decreased the risk of rapid dementia progression by 65%. CONCLUSIONS Psychosis and affective symptom clusters at the time of diagnosis were associated with rapid progression of dementia. Previous diagnoses of mental and behavioural disorders (excluding dementia) were associated with slow progression.
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Affiliation(s)
- Trine Holt Edwin
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Bjørn Heine Strand
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Chronic Diseases and Ageing Oslo, Norwegian Institute of Public Health, Oslo, Norway
| | - Karin Persson
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Knut Engedal
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Geir Selbaek
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
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Lee Y, Jeon S, Kang SW, Park M, Baik K, Yoo HS, Chung SJ, Jeong SH, Jung JH, Lee PH, Sohn YH, Evans AC, Ye BS. Interaction of CSF α-synuclein and amyloid beta in cognition and cortical atrophy. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12177. [PMID: 34046519 PMCID: PMC8140203 DOI: 10.1002/dad2.12177] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 01/28/2021] [Accepted: 02/25/2021] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Lewy body-related pathology is commonly observed at autopsy in individuals with dementia, but in vivo biomarkers for α-synucleinopathy are lacking. METHODS Baseline cerebrospinal fluid (CSF) biomarkers, polygenic risk score (PRS) for Parkinson's disease (PRS-PD) and Alzheimer's disease (PRS-AD), longitudinal cognitive scores, and magnetic resonance imaging were measured in 217 participants from the Alzheimer's Disease Neuroimaging Initiative. Linear mixed models were used to find the relationship of CSF biomarkers and the PRS with cognition and cortical atrophy. RESULTS Higher PRS-PD and PRS-AD were associated with lower CSF α-synuclein and amyloid beta (Aβ), respectively. Lower CSF α-synuclein and the interaction of CSF α-synuclein and Aβ were associated with lower cognitive scores and global cortical atrophy most prominently in the occipital cortex. DISCUSSION Lower CSF α-synuclein could be a biomarker for α-synucleinopathy, and the simultaneous evaluation of CSF biomarkers for AD and CSF α-synuclein could reveal the independent and interactive effects on cognition and cortical atrophy.
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Affiliation(s)
- Young‐gun Lee
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Seun Jeon
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Sung Woo Kang
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Mincheol Park
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Kyoungwon Baik
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Han Soo Yoo
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Seok Jong Chung
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Seong Ho Jeong
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Jin Ho Jung
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Phil Hyu Lee
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Young Ho Sohn
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
| | - Alan C. Evans
- Brain Research InstituteYonsei University College of MedicineSeoulKorea
| | - Byoung Seok Ye
- Department of NeurologyInje University Busan Paik HospitalBusanKorea
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Abstract
This article describes the public health impact of Alzheimer's disease (AD), including incidence and prevalence, mortality and morbidity, use and costs of care, and the overall impact on caregivers and society. The Special Report discusses the challenges of providing equitable health care for people with dementia in the United States. An estimated 6.2 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060 barring the development of medical breakthroughs to prevent, slow or cure AD. Official death certificates recorded 121,499 deaths from AD in 2019, the latest year for which data are available, making Alzheimer's the sixth-leading cause of death in the United States and the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2019, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 145%. This trajectory of deaths from AD was likely exacerbated in 2020 by the COVID-19 pandemic. More than 11 million family members and other unpaid caregivers provided an estimated 15.3 billion hours of care to people with Alzheimer's or other dementias in 2020. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $256.7 billion in 2020. Its costs, however, extend to family caregivers' increased risk for emotional distress and negative mental and physical health outcomes - costs that have been aggravated by COVID-19. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are more than three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 23 times as great. Total payments in 2021 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $355 billion. Despite years of efforts to make health care more equitable in the United States, racial and ethnic disparities remain - both in terms of health disparities, which involve differences in the burden of illness, and health care disparities, which involve differences in the ability to use health care services. Blacks, Hispanics, Asian Americans and Native Americans continue to have a higher burden of illness and lower access to health care compared with Whites. Such disparities, which have become more apparent during COVID-19, extend to dementia care. Surveys commissioned by the Alzheimer's Association recently shed new light on the role of discrimination in dementia care, the varying levels of trust between racial and ethnic groups in medical research, and the differences between groups in their levels of concern about and awareness of Alzheimer's disease. These findings emphasize the need to increase racial and ethnic diversity in both the dementia care workforce and in Alzheimer's clinical trials.
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Jurcau A. The Role of Natural Antioxidants in the Prevention of Dementia-Where Do We Stand and Future Perspectives. Nutrients 2021; 13:282. [PMID: 33498262 PMCID: PMC7909256 DOI: 10.3390/nu13020282] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/15/2021] [Accepted: 01/18/2021] [Indexed: 02/06/2023] Open
Abstract
Dementia, and especially Alzheimer's disease (AD), puts significant burden on global healthcare expenditure through its increasing prevalence. Research has convincingly demonstrated the implication of oxidative stress in the pathogenesis of dementia as well as of the conditions which increase the risk of developing dementia. However, drugs which target single pathways have so far failed in providing significant neuroprotection. Natural antioxidants, due to their effects in multiple pathways through which oxidative stress leads to neurodegeneration and triggers neuroinflammation, could prove valuable weapons in our fight against dementia. Although efficient in vitro and in animal models of AD, natural antioxidants in human trials have many drawbacks related to the limited bioavailability, unknown optimal dose, or proper timing of the treatment. Nonetheless, trials evaluating several of these natural compounds are ongoing, as are attempts to modify these compounds to achieve improved bioavailability.
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Affiliation(s)
- Anamaria Jurcau
- Department of Psycho-Neurosciences and Rehabilitation, Faculty of Medicine and Pharmacy, University of Oradea, nr 1 Universitatii Street, 410087 Oradea, Romania;
- Neurology Ward, Clinical Municipal Hospital “Dr. G. Curteanu”, nr 12 Corneliu Coposu Street, 410469 Oradea, Romania
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Beach TG, Malek-Ahmadi M. Alzheimer's Disease Neuropathological Comorbidities are Common in the Younger-Old. J Alzheimers Dis 2021; 79:389-400. [PMID: 33285640 PMCID: PMC8034496 DOI: 10.3233/jad-201213] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Clinicopathological studies have demonstrated that Alzheimer's disease dementia (ADD) is often accompanied by clinically undetectable comorbid neurodegenerative and cerebrovascular disease that alter the rate of cognitive decline. Aside from causing increased variability in clinical response, it is possible that the major ADD comorbidities may not respond to ADD-specific molecular therapeutics. OBJECTIVE As most reports have focused on comorbidity in the oldest-old, its extent in younger age groups that are more likely to be involved in clinical trials is largely unknown; our objective is to provide this information. METHODS We conducted a survey of neuropathological comorbidities in sporadic ADD using data from the US National Alzheimer's Coordinating Center. Subject data was restricted to those with dementia and meeting National Institute on Aging-Alzheimer's Association intermediate or high AD Neuropathological Change levels, excluding those with known autosomal dominant AD-related mutations. RESULTS Highly prevalent ADD comorbidities are not restricted to the oldest-old but are common even in early-onset ADD. The percentage of cases with ADD as the sole major neuropathological diagnosis is highest in the under-60 group, where "pure" ADD cases are still in the minority at 44%. After this AD as a sole major pathology in ADD declines to roughly 20%in the 70s and beyond. Lewy body disease is the most common comorbidity at younger ages but actually is less common at later ages, while for most others, their prevalence increases with age. CONCLUSION Alzheimer's disease neuropathological comorbidities are highly prevalent even in the younger-old.
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Nicastri C, Hensley J, Lane S. Managing the Forgetful Patient: Best Practice for Cognitive Impairment. Med Clin North Am 2021; 105:75-91. [PMID: 33246524 DOI: 10.1016/j.mcna.2020.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The primary care physician is well positioned to identify and treat patients with cognitive impairment (CI). Simple, validated tools can screen for CI in the office. Identifying the type of dementia and stage of the disease helps to guide care. A thorough history, medication review, physical examination, laboratory workup, and imaging studies can help identify specific causes contributing to memory loss. A patient-centered, multidisciplinary team approach includes nonpharmacological and pharmacologic treatments. Patient safety and preservation of functional status should be at the forefront of caring for the forgetful patient.
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Affiliation(s)
- Catherine Nicastri
- Department of Medicine, Renaissance School of Medicine at SUNY Stony Brook, Stony Brook University Hospital, HSC-T-16-020, 101 Nicolls Road, Stony Brook, NY 11794, USA
| | - Jennifer Hensley
- Department of Medicine, Renaissance School of Medicine at SUNY Stony Brook, Stony Brook University Hospital, HSC-T-16-020, 101 Nicolls Road, Stony Brook, NY 11794, USA
| | - Susan Lane
- Department of Medicine, Renaissance School of Medicine at SUNY Stony Brook, Stony Brook University Hospital, HSC-T-16-020, 101 Nicolls Road, Stony Brook, NY 11794, USA.
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Burstein ES. Relevance of 5-HT 2A Receptor Modulation of Pyramidal Cell Excitability for Dementia-Related Psychosis: Implications for Pharmacotherapy. CNS Drugs 2021; 35:727-741. [PMID: 34224112 PMCID: PMC8310514 DOI: 10.1007/s40263-021-00836-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/09/2021] [Indexed: 01/05/2023]
Abstract
Psychosis occurs across a wide variety of dementias with differing etiologies, including Alzheimer's dementia, Parkinson's dementia, Lewy body dementia, frontotemporal dementia, and vascular dementia. Pimavanserin, a selective serotonin 5-HT2A receptor (5-HT2AR) inverse agonist, has shown promising results in clinical trials by reducing the frequency and/or severity of hallucinations and delusions and the risk of relapse of these symptoms in patients with dementia-related psychosis. A literature review was conducted to identify mechanisms that explain the role of 5-HT2ARs in both the etiology and treatment of dementia-related psychosis. This review revealed that most pathological changes commonly associated with neurodegenerative diseases cause one or more of the following events to occur: reduced synaptic contact of gamma aminobutyric acid (GABA)-ergic interneurons with glutamatergic pyramidal cells, reduced cortical innervation from subcortical structures, and altered 5-HT2AR expression levels. Each of these events promotes increased pyramidal cell hyperexcitability and disruption of excitatory/inhibitory balance, facilitating emergence of psychotic behaviors. The brain regions affected by these pathological changes largely coincide with areas expressing high levels of 5-HT2ARs. At the cellular level, 5-HT2ARs are most highly expressed on cortical glutamatergic pyramidal cells, where they regulate pyramidal cell excitability. The common effects of different neurodegenerative diseases on pyramidal cell excitability together with the close anatomical and functional connection of 5-HT2ARs to pyramidal cell excitability may explain why suppressing 5-HT2AR activity could be an effective strategy to treat dementia-related psychosis.
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Affiliation(s)
- Ethan S. Burstein
- Acadia Pharmaceuticals Inc, 12830 El Camino Real, Suite 400, San Diego, CA 92130 USA
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Kapasi A, Yu L, Boyle PA, Barnes LL, Bennett DA, Schneider JA. Limbic-predominant age-related TDP-43 encephalopathy, ADNC pathology, and cognitive decline in aging. Neurology 2020; 95:e1951-e1962. [PMID: 32753441 PMCID: PMC7682843 DOI: 10.1212/wnl.0000000000010454] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 04/16/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To examine the impact of 3 pathologic groups, pure limbic-predominant age-related transactive response DNA-binding protein 43 encephalopathy (LATE) neuropathologic changes (NC), pure Alzheimer disease neuropathologic change (ADNC), and mixed ADNC with LATE-NC, on late-life cognitive decline. METHODS Data came from 1,356 community-based older persons who completed detailed annual cognitive testing and systematic neuropathologic examination at autopsy to identify LATE-NC, ADNC, and other age-related pathologies. Persons were categorized into (0) a group without a pathologic diagnosis of LATE or ADNC (n = 378), (1) LATE-NC without ADNC (n = 91), (2) ADNC without LATE-NC (n = 535), and (3) mixed ADNC with LATE-NC (n = 352). We used mixed-effect models to examine the group associations with rate of decline in global cognition and 5 cognitive domains and then examined whether age modified associations. RESULTS Compared to those without LATE-NC or ADNC, those with pure LATE-NC had a faster decline in global cognition (p = 0.025) and episodic memory (p = 0.002); however, compared to persons with pure ADNC, those with pure LATE-NC showed a slower decline. Those with mixed ADNC with LATE-NC showed the fastest decline compared to those with either pathology alone. Persons ≥90 years of age with mixed ADNC with LATE-NC had slower cognitive decline compared to those ≤89 years of age. CONCLUSION Persons with pure LATE-NC follow a slower trajectory compared to those with pure ADNC. Those with mixed LATE/ADNC have a steeper decline than individuals with either pathology alone. In addition, age may modify the effect of pathology on cognitive decline. These findings have important implications for the development of biomarkers and prognosis for late-life cognitive decline. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that LATE-NC and Alzheimer disease pathologic changes are associated with different trajectories of late-life cognitive decline.
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Affiliation(s)
- Alifiya Kapasi
- From the Rush Alzheimer's Disease Center (A.K., L.Y., P.A.B., L.L.B., D.A.B., J.A.S.), Department of Pathology (A.K., J.A.S.), Department of Neurological Sciences (L.Y., L.L.B., D.A.B., J.A.S.), and Department of Behavioral Sciences (P.A.B., L.L.B.), Rush University Medical Center, Chicago, IL.
| | - Lei Yu
- From the Rush Alzheimer's Disease Center (A.K., L.Y., P.A.B., L.L.B., D.A.B., J.A.S.), Department of Pathology (A.K., J.A.S.), Department of Neurological Sciences (L.Y., L.L.B., D.A.B., J.A.S.), and Department of Behavioral Sciences (P.A.B., L.L.B.), Rush University Medical Center, Chicago, IL
| | - Patricia A Boyle
- From the Rush Alzheimer's Disease Center (A.K., L.Y., P.A.B., L.L.B., D.A.B., J.A.S.), Department of Pathology (A.K., J.A.S.), Department of Neurological Sciences (L.Y., L.L.B., D.A.B., J.A.S.), and Department of Behavioral Sciences (P.A.B., L.L.B.), Rush University Medical Center, Chicago, IL
| | - Lisa L Barnes
- From the Rush Alzheimer's Disease Center (A.K., L.Y., P.A.B., L.L.B., D.A.B., J.A.S.), Department of Pathology (A.K., J.A.S.), Department of Neurological Sciences (L.Y., L.L.B., D.A.B., J.A.S.), and Department of Behavioral Sciences (P.A.B., L.L.B.), Rush University Medical Center, Chicago, IL
| | - David A Bennett
- From the Rush Alzheimer's Disease Center (A.K., L.Y., P.A.B., L.L.B., D.A.B., J.A.S.), Department of Pathology (A.K., J.A.S.), Department of Neurological Sciences (L.Y., L.L.B., D.A.B., J.A.S.), and Department of Behavioral Sciences (P.A.B., L.L.B.), Rush University Medical Center, Chicago, IL
| | - Julie A Schneider
- From the Rush Alzheimer's Disease Center (A.K., L.Y., P.A.B., L.L.B., D.A.B., J.A.S.), Department of Pathology (A.K., J.A.S.), Department of Neurological Sciences (L.Y., L.L.B., D.A.B., J.A.S.), and Department of Behavioral Sciences (P.A.B., L.L.B.), Rush University Medical Center, Chicago, IL
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Thomas DX, Bajaj S, McRae-McKee K, Hadjichrysanthou C, Anderson RM, Collinge J. Association of TDP-43 proteinopathy, cerebral amyloid angiopathy, and Lewy bodies with cognitive impairment in individuals with or without Alzheimer's disease neuropathology. Sci Rep 2020; 10:14579. [PMID: 32883971 PMCID: PMC7471113 DOI: 10.1038/s41598-020-71305-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 07/14/2020] [Indexed: 11/08/2022] Open
Abstract
Alzheimer's disease patients typically present with multiple co-morbid neuropathologies at autopsy, but the impact of these pathologies on cognitive impairment during life is poorly understood. In this study, we developed cognitive trajectories for patients with common co-pathologies in the presence and absence of Alzheimer's disease neuropathology. Cognitive trajectories were modelled in a Bayesian hierarchical regression framework to estimate the effects of each neuropathology on cognitive decline as assessed by the mini-mental state examination and the clinical dementia rating scale sum of boxes scores. We show that both TDP-43 proteinopathy and cerebral amyloid angiopathy associate with cognitive impairment of similar magnitude to that associated with Alzheimer's disease neuropathology. Within our study population, 63% of individuals given the 'gold-standard' neuropathological diagnosis of Alzheimer's disease in fact possessed either TDP-43 proteinopathy or cerebral amyloid angiopathy of sufficient severity to independently explain the majority of their cognitive impairment. This suggests that many individuals diagnosed with Alzheimer's disease may actually suffer from a mixed dementia, and therapeutics targeting only Alzheimer's disease-related processes may have severely limited efficacy in these co-morbid populations.
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Affiliation(s)
- David X Thomas
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, London, W1W 7FF, UK.
| | - Sumali Bajaj
- Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - Kevin McRae-McKee
- Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - Christoforos Hadjichrysanthou
- Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - Roy M Anderson
- Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - John Collinge
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, London, W1W 7FF, UK
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Jellinger KA. Neuropathological assessment of the Alzheimer spectrum. J Neural Transm (Vienna) 2020; 127:1229-1256. [PMID: 32740684 DOI: 10.1007/s00702-020-02232-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 07/14/2020] [Indexed: 12/12/2022]
Abstract
Alzheimer disease (AD), the most common form of dementia globally, classically defined a clinicopathological entity, is a heterogenous disorder with various pathobiological subtypes, currently referred to as Alzheimer continuum. Its morphological hallmarks are extracellular parenchymal β-amyloid (amyloid plaques) and intraneuronal (tau aggregates forming neurofibrillary tangles) lesions accompanied by synaptic loss and vascular amyloid deposits, that are essential for the pathological diagnosis of AD. In addition to "classical" AD, several subtypes with characteristic regional patterns of tau pathology have been described that show distinct clinical features, differences in age, sex distribution, biomarker levels, and patterns of key network destructions responsible for cognitive decline. AD is a mixed proteinopathy (amyloid and tau), frequently associated with other age-related co-pathologies, such as cerebrovascular lesions, Lewy and TDP-43 pathologies, hippocampal sclerosis, or argyrophilic grain disease. These and other co-pathologies essentially influence the clinical picture of AD and may accelerate disease progression. The purpose of this review is to provide a critical overview of AD pathology, its defining pathological substrates, and the heterogeneity among the Alzheimer spectrum entities that may provide a broader diagnostic coverage of this devastating disorder as a basis for implementing precision medicine approaches and for ultimate development of successful disease-modifying drugs for AD.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Sanchez Hoffmann S, Winkler A, Weimar C, Müller-Gerards D, Abramowski J, Moebus S, Jöckel KH, Erbel R, Jokisch M. Blood pressure and cognitive decline - the impact of hypertension over one decade. AGING NEUROPSYCHOLOGY AND COGNITION 2020; 28:528-542. [PMID: 32673173 DOI: 10.1080/13825585.2020.1792403] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Midlife hypertension is a risk factor for cognitive decline in late-life but little is known about the impact of long-term hypertension on cognitive change over time. METHODS We examined blood pressure and cognitive function in 2777 participants (baseline: 2000-2003, 45-75 years, 48.4% men) from the Heinz Nixdorf Recall study. Blood pressure was assessed at three study visits and cognitive function was assessed at both follow-ups (mean follow-up: 5.1 years). Z-score differences in five neuropsychological tests, defining cognitive decline, were derived from linear regression models including age and education. The association of cognitive decline over 5 years and blood pressure over 10 years (classified as: normal blood pressure (>10 years, reference), prevalent hypertension (>10 years), incident hypertension t1 (>5 years), incident hypertension t2 (<5 years), temporary hypertension (at least one hypertensive reading)) was calculated using linear regression models resulting in coefficient b and 95% confidence interval. We calculated interactions with age (linear and with a cutoff at 65 years). RESULTS Participants with prevalent hypertension showed a greater cognitive decline in both verbal memory tests. Incident hypertension t1 was associated with a greater decline in the visuospatial organization test. There was no interaction with age. CONCLUSION This study showed that prevalent high blood pressure over 10 years is related to cognitive decline. Prevalent hypertension with longer exposure time may be more detrimental than temporary hypertension for cognitive function.
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Affiliation(s)
- Sarah Sanchez Hoffmann
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany
| | - Angela Winkler
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany
| | - Christian Weimar
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany
| | - Diana Müller-Gerards
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany
| | - Jessica Abramowski
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen , Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen , Germany
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen , Germany
| | - Martha Jokisch
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen , Germany
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48
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Ferman TJ, Aoki N, Boeve BF, Aakre JA, Kantarci K, Graff-Radford J, Parisi JE, Van Gerpen JA, Graff-Radford NR, Uitti RJ, Pedraza O, Murray ME, Wszolek ZK, Reichard RR, Fields JA, Ross OA, Knopman DS, Petersen RC, Dickson DW. Subtypes of dementia with Lewy bodies are associated with α-synuclein and tau distribution. Neurology 2020; 95:e155-e165. [PMID: 32561678 DOI: 10.1212/wnl.0000000000009763] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 12/17/2019] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE To determine whether Lewy body disease subgroups have different clinical profiles. METHODS Participants had dementia, autopsy-confirmed transitional or diffuse Lewy body disease (TLBD or DLBD) (n = 244), or Alzheimer disease (AD) (n = 210), and were seen at least twice (mean follow-up 6.2 ± 3.8 years). TLBD and DLBD groups were partitioned based on the presence or absence of neocortical neurofibrillary tangles using Braak staging. Four Lewy body disease subgroups and AD were compared on clinical features, dementia trajectory, and onset latency of probable dementia with Lewy bodies (DLB) or a DLB syndrome defined as probable DLB or dementia with one core feature of parkinsonism or probable REM sleep behavior disorder. RESULTS In TLBD and DLBD without neocortical tangles, diagnostic sensitivity was strong for probable DLB (87% TLBD, 96% DLBD) and the DLB syndrome (97% TLBD, 98% DLBD) with median latencies <1 year from cognitive onset, and worse baseline attention-visual processing but better memory-naming scores than AD. In DLBD with neocortical tangles, diagnostic sensitivity was 70% for probable DLB and 77% for the DLB syndrome with respective median latencies of 3.7 years and 2.7 years from cognitive onset, each associated with tangle distribution. This group had worse baseline attention-visual processing than AD, but comparable memory-naming impairment. TLBD with neocortical tangles had 48% diagnostic sensitivity for probable DLB and 52% for the DLB syndrome, with median latencies >6 years from cognitive onset, and were cognitively similar to AD. Dementia trajectory was slowest for TLBD without neocortical tangles, and fastest for DLBD with neocortical tangles. CONCLUSIONS The phenotypic expression of DLB was associated with the distribution of α-synuclein and tau pathology.
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Affiliation(s)
- Tanis J Ferman
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN.
| | - Naoya Aoki
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Bradley F Boeve
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Jeremiah A Aakre
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Kejal Kantarci
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Jonathan Graff-Radford
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Joseph E Parisi
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Jay A Van Gerpen
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Neill R Graff-Radford
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Ryan J Uitti
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Otto Pedraza
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Melissa E Murray
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Zbigniew K Wszolek
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - R Ross Reichard
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Julie A Fields
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Owen A Ross
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - David S Knopman
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Ronald C Petersen
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Dennis W Dickson
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
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Gauthreaux K, Bonnett TA, Besser LM, Brenowitz WD, Teylan M, Mock C, Chen YC, Chan KCG, Keene CD, Zhou XH, Kukull WA. Concordance of Clinical Alzheimer Diagnosis and Neuropathological Features at Autopsy. J Neuropathol Exp Neurol 2020; 79:465-473. [PMID: 32186726 PMCID: PMC7160616 DOI: 10.1093/jnen/nlaa014] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 11/27/2019] [Indexed: 12/14/2022] Open
Abstract
It remains unclear what clinical features inform the accuracy of a clinical diagnosis of Alzheimer disease (AD). Data were obtained from the National Alzheimer's Coordinating Center to compare clinical and neuropathologic features among participants who did or did not have Alzheimer disease neuropathologic changes (ADNC) at autopsy. Participants (1854) had a clinical Alzheimer dementia diagnosis and ADNC at autopsy (Confirmed-AD), 204 participants had an AD diagnosis and no ADNC (AD-Mimics), and 253 participants had no AD diagnosis and ADNC (Unidentified-AD). Compared to Confirmed-AD participants, AD-Mimics had less severe cognitive impairment, while Unidentified-AD participants displayed more parkinsonian signs, depression, and behavioral problems. This study highlights the importance of developing a complete panel of biomarkers as a tool to inform clinical diagnoses, as clinical phenotypes that are typically associated with diseases other than AD may result in inaccurate diagnoses.
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Affiliation(s)
- Kathryn Gauthreaux
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington
| | - Tyler A Bonnett
- Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, Maryland
| | - Lilah M Besser
- School of Urban and Regional Planning, Institute for Human Health and Disease Intervention, Florida Atlantic University, Boca Raton, Florida
| | - Willa D Brenowitz
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, California
| | - Merilee Teylan
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington
| | | | | | - Kwun C G Chan
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington
| | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, Washington
| | - Xiao-Hua Zhou
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington
| | - Walter A Kukull
- Department of Epidemiology, National Alzheimer’s Coordinating Center, University of Washington, Seattle, Washington
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50
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Beach TG, Adler CH, Zhang N, Serrano GE, Sue LI, Driver-Dunckley E, Mehta SH, Zamrini EE, Sabbagh MN, Shill HA, Belden CM, Shprecher DR, Caselli RJ, Reiman EM, Davis KJ, Long KE, Nicholson LR, Intorcia AJ, Glass MJ, Walker JE, Callan MM, Oliver JC, Arce R, Gerkin RC. Severe hyposmia distinguishes neuropathologically confirmed dementia with Lewy bodies from Alzheimer's disease dementia. PLoS One 2020; 15:e0231720. [PMID: 32320406 PMCID: PMC7176090 DOI: 10.1371/journal.pone.0231720] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 03/30/2020] [Indexed: 11/19/2022] Open
Abstract
Many subjects with neuropathologically-confirmed dementia with Lewy bodies (DLB) are never diagnosed during life, instead being categorized as Alzheimer's disease dementia (ADD) or unspecified dementia. Unrecognized DLB therefore is a critical impediment to clinical studies and treatment trials of both ADD and DLB. There are studies that suggest that olfactory function tests may be able to distinguish DLB from ADD, but few of these had neuropathological confirmation of diagnosis. We compared University of Pennsylvania Smell Identification Test (UPSIT) results in 257 subjects that went on to autopsy and neuropathological examination. Consensus clinicopathological diagnostic criteria were used to define ADD and DLB, as well as Parkinson's disease with dementia (PDD), with (PDD+AD) or without (PDD-AD) concurrent AD; a group with ADD and Lewy body disease (LBD) not meeting criteria for DLB (ADLB) and a clinically normal control group were also included. The subjects with DLB, PDD+AD and PDD-AD all had lower (one-way ANOVA p < 0.0001, pairwise Bonferroni p < 0.05) first and mean UPSIT scores than the ADD, ADLB or control groups. For DLB subjects with first and mean UPSIT scores less than 20 and 17, respectively, Firth logistic regression analysis, adjusted for age, gender and mean MMSE score, conferred statistically significant odds ratios of 17.5 and 18.0 for the diagnosis, vs ADD. For other group comparisons (PDD+AD and PDD-AD vs ADD) and UPSIT cutoffs of 17, the same analyses resulted in odds ratios ranging from 16.3 to 31.6 (p < 0.0001). To our knowledge, this is the largest study to date comparing olfactory function in subjects with neuropathologically-confirmed LBD and ADD. Olfactory function testing may be a convenient and inexpensive strategy for enriching dementia studies or clinical trials with DLB subjects, or conversely, reducing the inclusion of DLB subjects in ADD studies or trials.
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Affiliation(s)
- Thomas G. Beach
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Charles H. Adler
- Department of Neurology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Nan Zhang
- Department of Biostatistics, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Geidy E. Serrano
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Lucia I. Sue
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | | | - Shayamal H. Mehta
- Department of Neurology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Edouard E. Zamrini
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Marwan N. Sabbagh
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, United States of America
| | - Holly A. Shill
- Barrow Neurological Institute, Phoenix, Arizona, United States of America
| | - Christine M. Belden
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - David R. Shprecher
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Richard J. Caselli
- Department of Neurology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Eric M. Reiman
- Banner Alzheimer’s Institute, Phoenix, Arizona, United States of America
| | - Kathryn J. Davis
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Kathy E. Long
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Lisa R. Nicholson
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Anthony J. Intorcia
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Michael J. Glass
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Jessica E. Walker
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Michael M. Callan
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Javon C. Oliver
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Richard Arce
- Banner Sun Health Research Institute, Sun City, Arizona, United States of America
| | - Richard C. Gerkin
- School of Life Sciences, Arizona State University, Tempe, Arizona, United States of America
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