1
|
Nelson PT, Fardo DW, Wu X, Aung KZ, Cykowski MD, Katsumata Y. Limbic-predominant age-related TDP-43 encephalopathy (LATE-NC): Co-pathologies and genetic risk factors provide clues about pathogenesis. J Neuropathol Exp Neurol 2024; 83:396-415. [PMID: 38613823 PMCID: PMC11110076 DOI: 10.1093/jnen/nlae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2024] Open
Abstract
Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) is detectable at autopsy in more than one-third of people beyond age 85 years and is robustly associated with dementia independent of other pathologies. Although LATE-NC has a large impact on public health, there remain uncertainties about the underlying biologic mechanisms. Here, we review the literature from human studies that may shed light on pathogenetic mechanisms. It is increasingly clear that certain combinations of pathologic changes tend to coexist in aging brains. Although "pure" LATE-NC is not rare, LATE-NC often coexists in the same brains with Alzheimer disease neuropathologic change, brain arteriolosclerosis, hippocampal sclerosis of aging, and/or age-related tau astrogliopathy (ARTAG). The patterns of pathologic comorbidities provide circumstantial evidence of mechanistic interactions ("synergies") between the pathologies, and also suggest common upstream influences. As to primary mediators of vulnerability to neuropathologic changes, genetics may play key roles. Genes associated with LATE-NC include TMEM106B, GRN, APOE, SORL1, ABCC9, and others. Although the anatomic distribution of TDP-43 pathology defines the condition, important cofactors for LATE-NC may include Tau pathology, endolysosomal pathways, and blood-brain barrier dysfunction. A review of the human phenomenology offers insights into disease-driving mechanisms, and may provide clues for diagnostic and therapeutic targets.
Collapse
Affiliation(s)
- Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, Kentucky, USA
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
| | - David W Fardo
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Xian Wu
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Khine Zin Aung
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Matthew D Cykowski
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA
| | - Yuriko Katsumata
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| |
Collapse
|
2
|
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.
Collapse
|
3
|
Coomans EM, van Westen D, Binette AP, Strandberg O, Spotorno N, Serrano GE, Beach TG, Palmqvist S, Stomrud E, Ossenkoppele R, Hansson O. Interactions between vascular burden and amyloid-β pathology on trajectories of tau accumulation. Brain 2024; 147:949-960. [PMID: 37721482 PMCID: PMC10907085 DOI: 10.1093/brain/awad317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 08/02/2023] [Accepted: 09/07/2023] [Indexed: 09/19/2023] Open
Abstract
Cerebrovascular pathology often co-exists with Alzheimer's disease pathology and can contribute to Alzheimer's disease-related clinical progression. However, the degree to which vascular burden contributes to Alzheimer's disease pathological progression is still unclear. This study aimed to investigate interactions between vascular burden and amyloid-β pathology on both baseline tau tangle load and longitudinal tau accumulation. We included 1229 participants from the Swedish BioFINDER-2 Study, including cognitively unimpaired and impaired participants with and without biomarker-confirmed amyloid-β pathology. All underwent baseline tau-PET (18F-RO948), and a subset (n = 677) underwent longitudinal tau-PET after 2.5 ± 1.0 years. Tau-PET uptake was computed for a temporal meta-region-of-interest. We focused on four main vascular imaging features and risk factors: microbleeds; white matter lesion volume; stroke-related events (infarcts, lacunes and haemorrhages); and the Framingham Heart Study Cardiovascular Disease risk score. To validate our in vivo results, we examined 1610 autopsy cases from an Arizona-based neuropathology cohort on three main vascular pathological features: cerebral amyloid angiopathy; white matter rarefaction; and infarcts. For the in vivo cohort, primary analyses included age-, sex- and APOE ɛ4-corrected linear mixed models between tau-PET (outcome) and interactions between time, amyloid-β and each vascular feature (predictors). For the neuropathology cohort, age-, sex- and APOE ɛ4-corrected linear models between tau tangle density (outcome) and an interaction between plaque density and each vascular feature (predictors) were performed. In cognitively unimpaired individuals, we observed a significant interaction between microbleeds and amyloid-β pathology on greater baseline tau load (β = 0.68, P < 0.001) and longitudinal tau accumulation (β = 0.11, P < 0.001). For white matter lesion volume, we did not observe a significant independent interaction effect with amyloid-β on tau after accounting for microbleeds. In cognitively unimpaired individuals, we further found that stroke-related events showed a significant negative interaction with amyloid-β on longitudinal tau (β = -0.08, P < 0.001). In cognitively impaired individuals, there were no significant interaction effects between cerebrovascular and amyloid-β pathology at all. In the neuropathology dataset, the in vivo observed interaction effects between cerebral amyloid angiopathy and plaque density (β = 0.38, P < 0.001) and between infarcts and plaque density (β = -0.11, P = 0.005) on tau tangle density were replicated. To conclude, we demonstrated that cerebrovascular pathology-in the presence of amyloid-β pathology-modifies tau accumulation in early stages of Alzheimer's disease. More specifically, the co-occurrence of microbleeds and amyloid-β pathology was associated with greater accumulation of tau aggregates during early disease stages. This opens the possibility that interventions targeting microbleeds may attenuate the rate of tau accumulation in Alzheimer's disease.
Collapse
Affiliation(s)
- Emma M Coomans
- Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081HV Amsterdam, The Netherlands
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081HV Amsterdam, The Netherlands
| | - Danielle van Westen
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Alexa Pichet Binette
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Olof Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Nicola Spotorno
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Geidy E Serrano
- Banner Sun Health Research Institute, Sun City, AZ 85351, USA
| | - Thomas G Beach
- Banner Sun Health Research Institute, Sun City, AZ 85351, USA
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081HV Amsterdam, The Netherlands
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
- Amsterdam Neuroscience, Neurodegeneration, 1071HV Amsterdam, The Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
| |
Collapse
|
4
|
Liampas I, Kyriakoulopoulou P, Siokas V, Tsiamaki E, Stamati P, Kefalopoulou Z, Chroni E, Dardiotis E. Apolipoprotein E Gene in α-Synucleinopathies: A Narrative Review. Int J Mol Sci 2024; 25:1795. [PMID: 38339074 PMCID: PMC10855384 DOI: 10.3390/ijms25031795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
In this narrative review, we delved into the intricate interplay between Apolipoprotein E (APOE) alleles (typically associated with Alzheimer's disease-AD) and alpha-synucleinopathies (aS-pathies), involving Parkinson's disease (PD), Parkinson's disease dementia (PDD), dementia with Lewy bodies (DLB), and multiple-system atrophy (MSA). First, in-vitro, animal, and human-based data on the exacerbating effect of APOE4 on LB pathology were summarized. We found robust evidence that APOE4 carriage constitutes a risk factor for PDD-APOE2, and APOE3 may not alter the risk of developing PDD. We confirmed that APOE4 copies confer an increased hazard towards DLB, as well. Again APOE2 and APOE3 appear unrelated to the risk of conversion. Of note, in individuals with DLB APOE4, carriage appears to be intermediately prevalent between AD and PDD-PD (AD > DLB > PDD > PD). Less consistency existed when it came to PD; APOE-PD associations tended to be markedly modified by ethnicity. Finally, we failed to establish an association between the APOE gene and MSA. Phenotypic associations (age of disease onset, survival, cognitive-neuropsychiatric- motor-, and sleep-related manifestations) between APOE alleles, and each of the aforementioned conditions were also outlined. Finally, a synopsis of literature gaps was provided followed by suggestions for future research.
Collapse
Affiliation(s)
- Ioannis Liampas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (V.S.); (P.S.); (E.D.)
| | - Panagiota Kyriakoulopoulou
- Department of Neurology, University Hospital of Patras, School of Medicine, University of Patras, 26504 Rio Patras, Greece; (P.K.); (E.T.); (Z.K.); (E.C.)
| | - Vasileios Siokas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (V.S.); (P.S.); (E.D.)
| | - Eirini Tsiamaki
- Department of Neurology, University Hospital of Patras, School of Medicine, University of Patras, 26504 Rio Patras, Greece; (P.K.); (E.T.); (Z.K.); (E.C.)
| | - Polyxeni Stamati
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (V.S.); (P.S.); (E.D.)
| | - Zinovia Kefalopoulou
- Department of Neurology, University Hospital of Patras, School of Medicine, University of Patras, 26504 Rio Patras, Greece; (P.K.); (E.T.); (Z.K.); (E.C.)
| | - Elisabeth Chroni
- Department of Neurology, University Hospital of Patras, School of Medicine, University of Patras, 26504 Rio Patras, Greece; (P.K.); (E.T.); (Z.K.); (E.C.)
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (V.S.); (P.S.); (E.D.)
| |
Collapse
|
5
|
Chen W, Deng S, Jiang H, Li H, Zhao Y, Yuan Y. Alterations of White Matter Connectivity in Adults with Essential Hypertension. Int J Gen Med 2024; 17:335-346. [PMID: 38314198 PMCID: PMC10838498 DOI: 10.2147/ijgm.s444384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 01/19/2024] [Indexed: 02/06/2024] Open
Abstract
Purpose To explore the topology of the white matter network in individuals with essential hypertension by graph theory. Patients and Methods T1-weighted image and diffusion tensor imaging (DTI) data from 43 patients diagnosed with essential hypertension (EHT) and 33 individuals with normotension (healthy controls, HCs) were incorporated in this cross-sectional study. Furthermore, structural networks were constructed by graph theory to calculate whole brain network characteristics and intracerebral node characteristics. Results Both EHT and HC groups displayed small-worldness in their structural networks. The area under the curve (AUC) of the small-worldness coefficient (σ) was higher in the EHT group compared to the HC group, whereas the AUC of assortativity was lower in the EHT group in contrast to the HC group. The nodal clustering coefficient (CP) and local efficiency (Eloc) of the EHT group decreased in the right dorsolateral superior frontal gyrus and the left medial superior frontal gyrus. These values increased in the left anterior cingulate and paracingulate gyrus. Furthermore, weight and body mass index (BMI) were positively correlated with σ. Conclusion The EHT group showed brain network separation and integration dysfunction. Weight and BMI were positively correlated with σ. The data acquired in this investigation implied that altered structural connectivity in the prefrontal region may be a potential neuroimaging marker in EHT patients.
Collapse
Affiliation(s)
- Weijie Chen
- Department of Cardiology, The Second School of Clinical Medicine, Southern Medical University, Guangdong, People's Republic of China
- Department of Cardiology, Dongguan Tung Wah Hospital, Guangdong, People's Republic of China
| | - Simin Deng
- Research Center, Dongguan Eighth People's Hospital, Guangdong, People's Republic of China
| | - Huali Jiang
- Department of Cardiology, Dongguan Tung Wah Hospital, Guangdong, People's Republic of China
| | - Heng Li
- Department of Cardiology, Dongguan Tung Wah Hospital, Guangdong, People's Republic of China
| | - Yu Zhao
- Department of Cardiology, Dongguan Tung Wah Hospital, Guangdong, People's Republic of China
| | - Yiqiang Yuan
- Department of Cardiology, The Second School of Clinical Medicine, Southern Medical University, The Seventh People's Hospital of Zhengzhou, Henan, People's Republic of China
| |
Collapse
|
6
|
Jang H, Lee S, An S, Park Y, Kim SJ, Cheon BK, Kim JH, Kim HJ, Na DL, Kim JP, Kim K, Seo SW. Association of Glycemic Variability With Imaging Markers of Vascular Burden, β-Amyloid, Brain Atrophy, and Cognitive Impairment. Neurology 2024; 102:e207806. [PMID: 38165363 PMCID: PMC10834128 DOI: 10.1212/wnl.0000000000207806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 09/27/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVE We aimed to investigate the association between glycemic variability (GV) and neuroimaging markers of white matter hyperintensities (WMH), beta-amyloid (Aβ), brain atrophy, and cognitive impairment. METHODS This was a retrospective cohort study that included participants without dementia from a memory clinic. They all had Aβ PET, brain MRI, and standardized neuropsychological tests and had fasting glucose (FG) levels tested more than twice during the study period. We defined GV as the intraindividual visit-to-visit variability in FG levels. Multivariable linear regression and logistic regression were used to identify whether GV was associated with the presence of severe WMH and Aβ uptake with DM, mean FG levels, age, sex, hypertension, and presence of APOE4 allele as covariates. Mediation analyses were used to investigate the mediating effect of WMH and Aβ uptake on the relationship between GV and brain atrophy and cognition. RESULTS Among the 688 participants, the mean age was 72.2 years, and the proportion of female participants was 51.9%. Increase in GV was predictive of the presence of severe WMH (coefficient [95% CI] 1.032 [1.012-1.054]; p = 0.002) and increased Aβ uptake (1.005 [1.001-1.008]; p = 0.007). Both WMH and increased Aβ uptake partially mediated the relationship between GV and frontal-executive dysfunction (GV → WMH → frontal-executive; direct effect, -0.319 [-0.557 to -0.080]; indirect effect, -0.050 [-0.091 to -0.008]) and memory dysfunction (GV → Aβ → memory; direct effect, -0.182 [-0.338 to -0.026]; indirect effect, -0.067 [-0.119 to -0.015]), respectively. In addition, increased Aβ uptake completely mediated the relationship between GV and hippocampal volume (indirect effect, -1.091 [-2.078 to -0.103]) and partially mediated the relationship between GV and parietal thickness (direct effect, -0.00101 [-0.00185 to -0.00016]; indirect effect, -0.00016 [-0.00032 to -0.000002]). DISCUSSION Our findings suggest that increased GV is related to vascular and Alzheimer risk factors and neurodegenerative markers, which in turn leads to subsequent cognitive impairment. Furthermore, GV can be considered a potentially modifiable risk factor for dementia prevention.
Collapse
Affiliation(s)
- Hyemin Jang
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Sungjoo Lee
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Sungsik An
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Yuhyun Park
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Soo-Jong Kim
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Bo Kyoung Cheon
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Ji Hyun Kim
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Hee Jin Kim
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Duk L Na
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Jun Pyo Kim
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Kyunga Kim
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| | - Sang Won Seo
- From the Alzheimer's Disease Convergence Research Center (H.J., S.A., Y.P., S.-J.K., B.K.C., J.H.K., H.J.K., D.L.N., J.P.K., S.W.S.), Samsung Medical Center; Department of Digital Health (H.J., S.L., K.K., S.W.S.), Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University; Department of Neurology (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (H.J., H.J.K., J.P.K., S.W.S.), Samsung Medical Center; Happymind Clinic (D.L.N.); Biomedical Statistics Center (K.K.), Research Institute for Future Medicine, Samsung Medical Center; and Department of Data Convergence and Future Medicine (K.K.), Sungkyunkwan University School of Medicine, Seoul, Korea. Dr. Jang is currently at the Department of Neurology, Seoul National University Hospital, Korea
| |
Collapse
|
7
|
Singh S, Mahajan M, Kumar D, Singh K, Chowdhary M, Amit. An inclusive study of recent advancements in Alzheimer's disease: A comprehensive review. Neuropeptides 2023; 102:102369. [PMID: 37611472 DOI: 10.1016/j.npep.2023.102369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 08/08/2023] [Accepted: 08/11/2023] [Indexed: 08/25/2023]
Abstract
Alzheimer's disease (AD) has remained elusive in revealing its pathophysiology and mechanism of development. In this review paper, we attempt to highlight several theories that abound about the exact pathway of AD development. The number of cases worldwide has prompted a constant flow of research to detect high-risk patients, slow the progression of the disease and discover improved methods of treatment that may prove effective. We shall focus on the two main classes of drugs that are currently in use; and emerging ones with novel mechanisms that are under development. As of late there has also been increased attention towards factors that were previously thought to be unrelated to AD, such as the gut microbiome, lifestyle habits, and diet. Studies have now shown that all these factors make an impact on AD progression, thus bringing to our attention more areas that could hold the key to combating this disease. This paper covers all the aforementioned factors concisely. We also briefly explore the relationship between mental health and AD, both before and after the diagnosis of the disease.
Collapse
Affiliation(s)
- Sukanya Singh
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Mitali Mahajan
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Dhawal Kumar
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Kunika Singh
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Mehvish Chowdhary
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Amit
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India.
| |
Collapse
|
8
|
Krishnamurthy S, Harrison W, Craft S, Lockhart SN, Bateman JR. When prion disease Isn't suspected: prion disease as the cause of terminal decline in chronic mixed dementia. Neurocase 2023; 29:92-97. [PMID: 38687122 PMCID: PMC11145467 DOI: 10.1080/13554794.2024.2346990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 04/16/2024] [Indexed: 05/02/2024]
Abstract
Alzheimer's Disease (AD) is the most common cause of dementia, although multiple pathologies are found in nearly half of the cases with clinically diagnosed AD. Prion diseases, such as Creutzfeldt-Jakob disease (CJD), are rare causes of dementia and typically manifest as a rapidly progressive dementia, where symptom onset to dementia most often occurs over the course of months. In this brief report, we describe a patient's typically progressive dementia with a precipitous decline at the end of their life who, on neuropathological evaluation, was found to have multiple neurodegenerative proteinopathies as well as spongiform encephalopathy due to CJD. This case of unsuspected CJD highlights a rare, but epidemiologically important, cause of sudden decline in well-established neurodegenerative dementias.
Collapse
Affiliation(s)
- Sudarshan Krishnamurthy
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC
| | - William Harrison
- Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Suzanne Craft
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Samuel N. Lockhart
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC
| | - James R. Bateman
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC
| |
Collapse
|
9
|
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.
Collapse
|
10
|
Abstract
Parkinson disease (PD) is the second most common age-related neurodegenerative condition diagnosed in North America. We recently demonstrated, using multiple epidemiological data sources, that the prevalence of PD diagnoses was greater than previously reported and currently used for clinical, research, and policy decision-making. Prior PD incidence estimates have varied, for unclear reasons. There is a need for improved estimates of PD incidence, not only for care delivery planning and future policy but also for increasing our understanding of disease risk. The objective of this study was thus to investigate the incidence of Parkinson disease across five epidemiological cohorts in North America in a common year, 2012. The cohorts contained data on 6.7 million person-years of adults ages 45 and older, and 9.3 million person-years of adults ages 65 and older. Our estimates of age-sex-adjusted incidence of PD ranged from 108 to 212 per 100,000 among persons ages 65 and older, and from 47 to 77 per 100,00 among persons ages 45 and older. PD incidence increased with age and was higher among males. We also found persistent spatial clustering of incident PD diagnoses in the U.S. PD incidence estimates varied across our data sources, in part due to case ascertainment and diagnosis methods, but also possibly due to the influence of population factors (prevalence of genetic risk factors or protective markers) and geographic location (exposure to environmental toxins). Understanding the source of these variations will be important for health care policy, research, and care planning.
Collapse
|
11
|
Cerebrospinal fluid catecholamines in Alzheimer's disease patients with and without biological disease. Transl Psychiatry 2022; 12:151. [PMID: 35397615 PMCID: PMC8994756 DOI: 10.1038/s41398-022-01901-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 03/07/2022] [Accepted: 03/14/2022] [Indexed: 11/08/2022] Open
Abstract
Noradrenergic and dopaminergic neurons are involved in cognitive functions, relate to behavioral and psychological symptoms in dementia and are affected in Alzheimer's disease (AD). Amyloid plaques (A), neurofibrillary tangles (T) and neurodegeneration (N) hallmarks the AD neuropathology. Today, the AT(N) pathophysiology can be assessed through biomarkers. Previous studies report cerebrospinal fluid (CSF) catecholamine concentrations in AD patients without biomarker refinement. We explored if CSF catecholamines relate to AD clinical presentation or neuropathology as reflected by CSF biomarkers. CSF catecholamines were analyzed in AD patients at the mild cognitive impairment (MCI; n = 54) or dementia stage (n = 240) and in cognitively unimpaired (n = 113). CSF biomarkers determined AT status and indicated synaptic damage (neurogranin). The AD patients (n = 294) had higher CSF noradrenaline and adrenaline concentrations, but lower dopamine concentrations compared to the cognitively unimpaired (n = 113). AD patients in the MCI and dementia stage of the disease had similar CSF catecholamine concentrations. In the CSF neurogranin positively associated with noradrenaline and adrenaline but not with dopamine. Adjusted regression analyses including AT status, CSF neurogranin, age, gender, and APOEε4 status verified the findings. In restricted analyses comparing A+T+ patients to A-T- cognitively unimpaired, the findings for CSF adrenaline remained significant (p < 0.001) but not for CSF noradrenaline (p = 0.07) and CSF dopamine (p = 0.33). There were no differences between A+T+ and A-T- cognitively unimpaired. Thus, we find alterations in CSF catecholamines in symptomatic AD and the CSF adrenergic transmitters to increase simultaneously with synaptic damage as indexed by CSF neurogranin.
Collapse
|
12
|
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.
Collapse
|
13
|
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.
Collapse
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
| |
Collapse
|
14
|
Hadley G, Zhang J, Harris-Skillman E, Alexopoulou Z, DeLuca GC, Pendlebury ST. Cognitive decline and diabetes: a systematic review of the neuropathological correlates accounting for cognition at death. J Neurol Neurosurg Psychiatry 2022; 93:246-253. [PMID: 35086942 DOI: 10.1136/jnnp-2021-328158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 11/24/2021] [Indexed: 11/04/2022]
Abstract
Given conflicting findings in epidemiologic studies, we determined the relative contributions of different neuropathologies to the excess risk of cognitive decline in diabetes mellitus (DM) through a systematic review of the literature. Included studies compared subjects with and without DM and reported neuropathological outcomes accounting for cognition at death. Data on Alzheimer's disease (AD) pathology, cerebrovascular disease and non-vascular, non-AD pathology were extracted from each study. Eleven studies (n=6 prospective cohorts, n=5 retrospective post-mortem series, total n=6330) met inclusion criteria. All 11 studies quantified AD changes and 10/11 measured cerebrovascular disease: macroscopic lesions (n=9), microinfarcts (n=8), cerebral amyloid angiopathy (CAA, n=7), lacunes (n=6), white matter disease (n=5), haemorrhages (n=4), microbleeds (n=1), hippocampal microvasculature (n=1). Other pathology was infrequently examined. No study reported increased AD pathology in DM, three studies showed a decrease (n=872) and four (n= 4018) showed no difference, after adjustment for cognition at death. No study reported reduced cerebrovascular pathology in DM. Three studies (n=2345) reported an increase in large infarcts, lacunes and microinfarcts. One study found lower cognitive scores in DM compared to non-DM subjects despite similar cerebrovascular and AD-pathology load suggesting contributions from other neuropathological processes. In conclusion, lack of an association between DM and AD-related neuropathology was consistent across studies, irrespective of methodology. In contrast to AD, DM was associated with increased large and small vessel disease. Data on other pathologies such as non-AD neurodegeneration, and blood-brain-barrier breakdown were lacking. Further studies evaluating relative contributions of different neuropathologies to the excess risk of DM are needed.
Collapse
Affiliation(s)
- Gina Hadley
- Departments of General (internal) Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Jiali Zhang
- St Anne's College, University of Oxford, Oxford, UK
| | - Eva Harris-Skillman
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Gabriele C DeLuca
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Sarah T Pendlebury
- Departments of General (internal) Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK .,NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK.,Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| |
Collapse
|
15
|
Mehan S, Bhalla S, Siddiqui EM, Sharma N, Shandilya A, Khan A. Potential Roles of Glucagon-Like Peptide-1 and Its Analogues in Dementia Targeting Impaired Insulin Secretion and Neurodegeneration. Degener Neurol Neuromuscul Dis 2022; 12:31-59. [PMID: 35300067 PMCID: PMC8921673 DOI: 10.2147/dnnd.s247153] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 02/16/2022] [Indexed: 12/20/2022] Open
Abstract
Dementia is a chronic, irreversible condition marked by memory loss, cognitive decline, and mental instability. It is clinically related to various progressive neurological diseases, including Parkinson’s disease, Alzheimer’s disease, and Huntington’s. The primary cause of neurological disorders is insulin desensitization, demyelination, oxidative stress, and neuroinflammation accompanied by various aberrant proteins such as amyloid-β deposits, Lewy bodies accumulation, tau formation leading to neurofibrillary tangles. Impaired insulin signaling is directly associated with amyloid-β and α-synuclein deposition, as well as specific signaling cascades involved in neurodegenerative diseases. Insulin dysfunction may initiate various intracellular signaling cascades, including phosphoinositide 3-kinase (PI3K), c-Jun N-terminal kinases (JNK), and mitogen-activated protein kinase (MAPK). Neuronal death, inflammation, neuronal excitation, mitochondrial malfunction, and protein deposition are all influenced by insulin. Recent research has focused on GLP-1 receptor agonists as a potential therapeutic target. They increase glucose-dependent insulin secretion and are beneficial in neurodegenerative diseases by reducing oxidative stress and cytokine production. They reduce the deposition of abnormal proteins by crossing the blood-brain barrier. The purpose of this article is to discuss the role of insulin dysfunction in the pathogenesis of neurological diseases, specifically dementia. Additionally, we reviewed the therapeutic target (GLP-1) and its receptor activators as a possible treatment of dementia.
Collapse
Affiliation(s)
- Sidharth Mehan
- Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga, Punjab, India
- Correspondence: Sidharth Mehan, Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga, 142001, Punjab, India, Tel +91 8059889909; +91 9461322911, Email ;
| | - Sonalika Bhalla
- Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga, Punjab, India
| | - Ehraz Mehmood Siddiqui
- Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga, Punjab, India
| | - Nidhi Sharma
- Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga, Punjab, India
| | - Ambika Shandilya
- Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga, Punjab, India
| | - Andleeb Khan
- Department of Pharmacology & Toxicology, College of Pharmacy, Jazan University, Jazan, Kingdom of Saudi Arabia
| |
Collapse
|
16
|
Xi M, Sun T, Chai S, Xie M, Chen S, Deng L, Du K, Shen R, Sun H. Therapeutic potential of phosphodiesterase inhibitors for cognitive amelioration in Alzheimer's disease. Eur J Med Chem 2022; 232:114170. [DOI: 10.1016/j.ejmech.2022.114170] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/27/2022] [Accepted: 01/30/2022] [Indexed: 02/07/2023]
|
17
|
Quek YE, Fung YL, Cheung MWL, Vogrin SJ, Collins SJ, Bowden SC. Agreement Between Automated and Manual MRI Volumetry in Alzheimer's Disease: A Systematic Review and Meta-Analysis. J Magn Reson Imaging 2021; 56:490-507. [PMID: 34964531 DOI: 10.1002/jmri.28037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Automated magnetic resonance imaging (MRI) volumetry is a promising tool to evaluate regional brain volumes in dementia and especially Alzheimer's disease (AD). PURPOSE To compare automated methods and the gold standard manual segmentation in measuring regional brain volumes on MRI across healthy controls, patients with mild cognitive impairment, and patients with dementia due to AD. STUDY TYPE Systematic review and meta-analysis. DATA SOURCES MEDLINE, Embase, and PsycINFO were searched through October 2021. FIELD STRENGTH 1.0 T, 1.5 T, or 3.0 T. ASSESSMENT Two review authors independently identified studies for inclusion and extracted data. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). STATISTICAL TESTS Standardized mean differences (SMD; Hedges' g) were pooled using random-effects meta-analysis with robust variance estimation. Subgroup analyses were undertaken to explore potential sources of heterogeneity. Sensitivity analyses were conducted to examine the impact of the within-study correlation between effect estimates on the meta-analysis results. RESULTS Seventeen studies provided sufficient data to evaluate the hippocampus, lateral ventricles, and parahippocampal gyrus. The pooled SMD for the hippocampus, lateral ventricles, and parahippocampal gyrus were 0.22 (95% CI -0.50 to 0.93), 0.12 (95% CI -0.13 to 0.37), and -0.48 (95% CI -1.37 to 0.41), respectively. For the hippocampal data, subgroup analyses suggested that the pooled SMD was invariant across clinical diagnosis and field strength. Subgroup analyses could not be conducted on the lateral ventricles data and the parahippocampal gyrus data due to insufficient data. The results were robust to the selected within-study correlation value. DATA CONCLUSION While automated methods are generally comparable to manual segmentation for measuring hippocampal, lateral ventricle, and parahippocampal gyrus volumes, wide 95% CIs and large heterogeneity suggest that there is substantial uncontrolled variance. Thus, automated methods may be used to measure these regions in patients with AD but should be used with caution. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
Collapse
Affiliation(s)
- Yi-En Quek
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Yi Leng Fung
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Mike W-L Cheung
- Department of Psychology, Faculty of Arts and Social Sciences, National University of Singapore, Singapore
| | - Simon J Vogrin
- Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Steven J Collins
- Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Stephen C Bowden
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia.,Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| |
Collapse
|
18
|
Jellinger KA. Recent update on the heterogeneity of the Alzheimer’s disease spectrum. J Neural Transm (Vienna) 2021; 129:1-24. [DOI: 10.1007/s00702-021-02449-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/25/2021] [Indexed: 02/03/2023]
|
19
|
Calderón-Rubio E, Oltra-Cucarella J, Bonete-López B, Iñesta C, Sitges-Maciá E. Regression-Based Normative Data for Independent and Cognitively Active Spanish Older Adults: Free and Cued Selective Reminding Test, Rey-Osterrieth Complex Figure Test and Judgement of Line Orientation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:12977. [PMID: 34948588 PMCID: PMC8701853 DOI: 10.3390/ijerph182412977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/02/2021] [Accepted: 12/07/2021] [Indexed: 11/21/2022]
Abstract
The aim of this work was to develop normative data for neuropsychological tests for the assessment of independent and cognitively active Spanish older adults over 55 years of age. METHODS regression-based normative data were calculated from a sample of 103 nondepressed independent community-dwelling adults aged 55 or older (66% women). The raw data for the Free and Cued Selective Reminding Test (FCSRT), the Rey-Osterrieth Complex Figure Test (ROCF) and the Judgement of Line Orientation Test (JLO) were regressed on age, sex and education. The model predicting the FCSRT delayed-recall (FCSRT-Del) scores also included the FCSRT immediate-recall (FCSRT-Imm) scores. The model predicting the ROCF immediate-recall (ROCF-Imm) scores included the ROCF copy-trial (ROCF-C) scores, and the model predicting the ROCF delayed-recall (ROCF-Del) scores included both the ROCF-C and the ROCF-Imm scores. In order to identify low scores, z-scores were used to determine the discrepancy between the observed and the predicted scores. The base rates of the low scores for both the SABIEX normative data and the published normative data obtained from the general population were compared. RESULTS the effects of the different sociodemographic variables (age, sex and education) varied throughout the neuropsychological measures. Despite finding similar proportions of low scores between the normative data sets, the agreement was irrelevant or only fair-to-good. CONCLUSIONS the normative data obtained from the general population might not be sensitive enough to identify low scores in cognitively active older adults, incorrectly classifying them as cognitively normal compared to the less active population.
Collapse
Affiliation(s)
- Eva Calderón-Rubio
- SABIEX, Universidad Miguel Hernández de Elche, Avda. de la Universidad, 03207 Elche, Spain; (E.C.-R.); (B.B.-L.); (C.I.); (E.S.-M.)
| | - Javier Oltra-Cucarella
- SABIEX, Universidad Miguel Hernández de Elche, Avda. de la Universidad, 03207 Elche, Spain; (E.C.-R.); (B.B.-L.); (C.I.); (E.S.-M.)
- Department of Health Psychology, Miguel Hernández University of Elche, 03202 Elche, Spain
| | - Beatriz Bonete-López
- SABIEX, Universidad Miguel Hernández de Elche, Avda. de la Universidad, 03207 Elche, Spain; (E.C.-R.); (B.B.-L.); (C.I.); (E.S.-M.)
- Department of Health Psychology, Miguel Hernández University of Elche, 03202 Elche, Spain
| | - Clara Iñesta
- SABIEX, Universidad Miguel Hernández de Elche, Avda. de la Universidad, 03207 Elche, Spain; (E.C.-R.); (B.B.-L.); (C.I.); (E.S.-M.)
| | - Esther Sitges-Maciá
- SABIEX, Universidad Miguel Hernández de Elche, Avda. de la Universidad, 03207 Elche, Spain; (E.C.-R.); (B.B.-L.); (C.I.); (E.S.-M.)
- Department of Health Psychology, Miguel Hernández University of Elche, 03202 Elche, Spain
| |
Collapse
|
20
|
Dallaire-Théroux C, Saikali S, Richer M, Potvin O, Duchesne S. Histopathological Analysis of Cerebrovascular Lesions Associated With Aging. J Neuropathol Exp Neurol 2021; 81:97-105. [PMID: 34875082 DOI: 10.1093/jnen/nlab125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Cerebrovascular disease (CVD) has been associated with cognitive impairment. Yet, our understanding of vascular contribution to cognitive decline has been limited by heterogeneity of definitions and assessment, as well as its occurrence in cognitively healthy aging. Therefore, we aimed to establish the natural progression of CVD associated with aging. We conducted a retrospective observational study of 63 cognitively healthy participants aged 19-84 years selected through the histological archives of the CHU de Québec. Assessment of CVD lesions was performed independently by 3 observers blinded to clinical data using the Vascular Cognitive Impairment Neuropathology Guidelines (VCING). We found moderate to almost perfect interobserver agreement for most regional CVD scores. Atherosclerosis (ρ = 0.758) and arteriolosclerosis (ρ = 0.708) showed the greatest significant association with age, followed by perivascular hemosiderin deposits (ρ = 0.432) and cerebral amyloid angiopathy (CAA; ρ = 0.392). Amyloid and tau pathologies were both associated with higher CVD load, but only CAA remained significantly associated with amyloid plaques after controlling for age. Altogether, these findings support the presence of multiple CVD lesions in the brains of cognitively healthy adults, the burden of which increases with age and can be quantified in a reproducible manner using standardized histological scales such as the VCING.
Collapse
Affiliation(s)
- Caroline Dallaire-Théroux
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
| | - Stephan Saikali
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
| | - Maxime Richer
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
| | - Olivier Potvin
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
| | - Simon Duchesne
- From the CERVO Brain Research Center, Quebec City, Quebec, Canada (CD-T, OP, SD); Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (CD-T, SS, MR); Department of Neurological Sciences, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (CD-T); Department of Pathology, Centre Hospitalier Universitaire de Québec, Quebec City, Quebec, Canada (SS, MR); and Department of Radiology and nuclear medicine, Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada (SD)
| |
Collapse
|
21
|
Boo YY, Jutila OE, Cupp MA, Manikam L, Cho SI. The identification of established modifiable mid-life risk factors for cardiovascular disease which contribute to cognitive decline: Korean Longitudinal Study of Aging (KLoSA). Aging Clin Exp Res 2021; 33:2573-2586. [PMID: 33538990 PMCID: PMC8429388 DOI: 10.1007/s40520-020-01783-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 12/25/2020] [Indexed: 12/12/2022]
Abstract
INTRODUCTION We explored how different chronic diseases, risk factors, and protective factors highly associated with cardiovascular diseases (CVD) are associated with dementia or Mild Cognitive Impairment (MCI) in Korean elders, with a focus on those that manifest in mid-life. METHODS A CVD-free cohort (n = 4289) from the Korean Longitudinal Study of Aging was selected to perform Cox mixed-effects proportional hazard regressions. Eighteen control variables with strong associations to CVD were chosen as explanatory variables, and Mini-Mental State Examination (MMSE) score cut-off for dementia and MCI were used as outcome variables. RESULTS The statistically significant (P < 0.05) adverse factors that contribute in developing dementia were age (aHR 1.07, 1.05-1.09), Centre for Epidemiological Studies Depression Scale (CESD-10) (aHR 1.17, 1.12-1.23), diagnosis with cerebrovascular disease (aHR 3.73, 1.81-7.66), living with diabetes (aHR 2.30, 1.22-4.35), and living with high blood pressure (HBP) (aHR 2.05, 1.09-3.87). In contrast, the statistically significant protective factors against developing dementia were current alcohol consumption (aHR 0.67, 0.46-0.99), higher educational attainment (aHR 0.36, 0.26-0.56), and regular exercise (aHR 0.37, 0.26-0.51). The factors with a statistically significant adverse association with progression to MCI were age (aHR 1.02, 1.01-1.03) and CESD-10 (aHR 1.17, 1.14-1.19). In contrast, the statistically significant protective factors against developing MCI were BMI (aHR 0.96, 0.94-0.98), higher educational attainment (aHR 0.33, 0.26-0.43), and regular exercise (aHR 0.83, 0.74-0.92). CONCLUSION In lieu of the protective factor of MCI and dementia, implementing regular exercise routine well before mid-life and cognitive decline is significant, with adjustments made for those suffering from health conditions, so they can continue exercising despite their morbidity. Further attention in diabetes care and management is needed for patients who already show decline in cognitive ability as it is likely that their MCI impacts their ability to manage their existing chronic conditions, which may adversely affect their cognitive ability furthermore.
Collapse
Affiliation(s)
- Yebeen Ysabelle Boo
- Nuffield Department of Population Health, University of Oxford, Oxford, UK.
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK.
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, London, UK.
| | - Otto-Emil Jutila
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Meghan A Cupp
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, London, UK
- Aceso Global Health Consultants Ltd, London, UK
- Brown University School of Public Health, Providence, Rhode Island, USA
| | - Logan Manikam
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, London, UK
- Aceso Global Health Consultants Ltd, London, UK
| | - Sung-Il Cho
- Graduate School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| |
Collapse
|
22
|
Henjum K, Godang K, Quist-Paulsen E, Idland AV, Neerland BE, Sandvig H, Brugård A, Raeder J, Frihagen F, Wyller TB, Hassel B, Bollerslev J, Watne LO. Cerebrospinal fluid catecholamines in delirium and dementia. Brain Commun 2021; 3:fcab121. [PMID: 34423298 PMCID: PMC8374970 DOI: 10.1093/braincomms/fcab121] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/27/2021] [Indexed: 11/28/2022] Open
Abstract
Dopamine and noradrenaline are functionally connected to delirium and have been targets for pharmacological interventions but the biochemical evidence to support this notion is limited. To study the CSF levels of dopamine, noradrenaline and the third catecholamine adrenaline in delirium and dementia, these were quantified in three patient cohorts: (i) cognitively normal elderly patients (n = 122); (ii) hip fracture patients with or without delirium and dementia (n = 118); and (iii) patients with delirium precipitated by another medical condition (medical delirium, n = 26). Delirium was assessed by the Confusion Assessment Method. The hip fracture cohort had higher CSF levels of noradrenaline and adrenaline than the two other cohorts (both P < 0.001). Within the hip fracture cohort those with delirium (n = 65) had lower CSF adrenaline and dopamine levels than those without delirium (n = 52, P = 0.03, P = 0.002). Similarly, the medical delirium patients had lower CSF dopamine levels than the cognitively normal elderly (P < 0.001). Age did not correlate with the CSF catecholamine levels. These findings with lower CSF dopamine levels in hip fracture- and medical delirium patients challenge the theory of dopamine excess in delirium and question use of antipsychotics in delirium. The use of alpha-2 agonists with the potential to reduce noradrenaline release needs further examination.
Collapse
Affiliation(s)
- Kristi Henjum
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, 0424 Oslo, Norway.,Department of Geriatric Medicine, Institute of Clinical Medicine, University of Oslo, 0424 Oslo, Norway
| | - Kristin Godang
- Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, 0424 Oslo, Norway
| | | | - Ane-Victoria Idland
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, 0424 Oslo, Norway
| | - Bjørn Erik Neerland
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, 0424 Oslo, Norway
| | - Heidi Sandvig
- Medical Department, Kristiansund Hospital, Møre og Romsdal Hospital Trust, 6508 Kristiansund, Norway
| | - Anniken Brugård
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, 0424 Oslo, Norway
| | - Johan Raeder
- Department of Anesthesiology, Oslo University Hospital, 0424 Oslo, Norway
| | - Frede Frihagen
- Division of Orthopedic Surgery, Oslo University Hospital, 0424 Oslo, Norway
| | - Torgeir Bruun Wyller
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, 0424 Oslo, Norway.,Department of Geriatric Medicine, Institute of Clinical Medicine, University of Oslo, 0424 Oslo, Norway
| | - Bjørnar Hassel
- Department of Neurohabilitation, Oslo University Hospital, 0424 Oslo, Norway
| | - Jens Bollerslev
- Department of Geriatric Medicine, Institute of Clinical Medicine, University of Oslo, 0424 Oslo, Norway.,Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, 0424 Oslo, Norway
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, Oslo University Hospital, 0424 Oslo, Norway
| |
Collapse
|
23
|
Schoemaker D, Velilla-Jimenez L, Zuluaga Y, Baena A, Ospina C, Bocanegra Y, Alvarez S, Ochoa-Escudero M, Guzmán-Vélez E, Martinez J, Lopera F, Arboleda-Velasquez JF, Quiroz YT. Global Cardiovascular Risk Profile and Cerebrovascular Abnormalities in Presymptomatic Individuals with CADASIL or Autosomal Dominant Alzheimer's Disease. J Alzheimers Dis 2021; 82:841-853. [PMID: 34092645 DOI: 10.3233/jad-210313] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cardiovascular risk factors increase the risk of developing dementia, including Alzheimer's disease and vascular dementia. OBJECTIVE Studying individuals with autosomal dominant mutations leading to the early onset of dementia, this study examines the effect of the global cardiovascular risk profile on early cognitive and neuroimaging features of Alzheimer's disease and vascular dementia. METHODS We studied 85 non-demented and stroke-free individuals, including 20 subjects with Presenilin1 (PSEN1) E280A mutation leading to the early onset of autosomal dominant Alzheimer's disease (ADAD), 20 subjects with NOTCH3 mutations leading to cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) and to the early onset of vascular dementia, and 45 non-affected family members (non-carriers). All subjects underwent clinical and neuropsychological evaluations and an MRI. The global cardiovascular risk profile was estimated using the office-based Framingham Cardiovascular Risk Profile (FCRP) score. RESULTS In individuals with CADASIL, a higher FCRP score was associated with a reduced hippocampal volume (B = -0.06, p < 0.05) and an increased severity of cerebral microbleeds (B = 0.13, p < 0.001), lacunes (B = 0.30, p < 0.001), and perivascular space enlargement in the basal ganglia (B = 0.50, p < 0.05). There was no significant association between the FCRP score and neuroimaging measures in ADAD or non-carrier subjects. While the FCRP score was related to performance in executive function in non-carrier subjects (B = 0.06, p < 0.05), it was not significantly associated with cognitive performance in individuals with CADASIL or ADAD. CONCLUSION Our results suggest that individuals with CADASIL and other forms of vascular cognitive impairment might particularly benefit from early interventions aimed at controlling cardiovascular risks.
Collapse
Affiliation(s)
- Dorothee Schoemaker
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Ophthalmology, Schepens Eye Research Institute of Mass Eye and Ear, Harvard Medical School, Boston, MA, USA
| | | | - Yesica Zuluaga
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Ana Baena
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Carolina Ospina
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Yamile Bocanegra
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Sergio Alvarez
- Department of Radiology, Hospital Pablo Tobon Uribe, Medellín, Colombia
| | | | - Edmarie Guzmán-Vélez
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jairo Martinez
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Francisco Lopera
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia
| | - Joseph F Arboleda-Velasquez
- Department of Ophthalmology, Schepens Eye Research Institute of Mass Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Yakeel T Quiroz
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Grupo de Neurociencias, Universidad de Antioquia, Medellín, Colombia.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
24
|
Ossenkoppele R, Leuzy A, Cho H, Sudre CH, Strandberg O, Smith R, Palmqvist S, Mattsson-Carlgren N, Olsson T, Jögi J, Stormrud E, Ryu YH, Choi JY, Boxer AL, Gorno-Tempini ML, Miller BL, Soleimani-Meigooni D, Iaccarino L, La Joie R, Borroni E, Klein G, Pontecorvo MJ, Devous MD, Villeneuve S, Lyoo CH, Rabinovici GD, Hansson O. The impact of demographic, clinical, genetic, and imaging variables on tau PET status. Eur J Nucl Med Mol Imaging 2021; 48:2245-2258. [PMID: 33215319 PMCID: PMC8131404 DOI: 10.1007/s00259-020-05099-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 10/27/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE A substantial proportion of amyloid-β (Aβ)+ patients with clinically diagnosed Alzheimer's disease (AD) dementia and mild cognitive impairment (MCI) are tau PET-negative, while some clinically diagnosed non-AD neurodegenerative disorder (non-AD) patients or cognitively unimpaired (CU) subjects are tau PET-positive. We investigated which demographic, clinical, genetic, and imaging variables contributed to tau PET status. METHODS We included 2338 participants (430 Aβ+ AD dementia, 381 Aβ+ MCI, 370 non-AD, and 1157 CU) who underwent [18F]flortaucipir (n = 1944) or [18F]RO948 (n = 719) PET. Tau PET positivity was determined in the entorhinal cortex, temporal meta-ROI, and Braak V-VI regions using previously established cutoffs. We performed bivariate binary logistic regression models with tau PET status (positive/negative) as dependent variable and age, sex, APOEε4, Aβ status (only in CU and non-AD analyses), MMSE, global white matter hyperintensities (WMH), and AD-signature cortical thickness as predictors. Additionally, we performed multivariable binary logistic regression models to account for all other predictors in the same model. RESULTS Tau PET positivity in the temporal meta-ROI was 88.6% for AD dementia, 46.5% for MCI, 9.5% for non-AD, and 6.1% for CU. Among Aβ+ participants with AD dementia and MCI, lower age, MMSE score, and AD-signature cortical thickness showed the strongest associations with tau PET positivity. In non-AD and CU participants, presence of Aβ was the strongest predictor of a positive tau PET scan. CONCLUSION We identified several demographic, clinical, and neurobiological factors that are important to explain the variance in tau PET retention observed across the AD pathological continuum, non-AD neurodegenerative disorders, and cognitively unimpaired persons.
Collapse
Affiliation(s)
- Rik Ossenkoppele
- Clinical Memory Research Unit, Lund University, Lund, Sweden.
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, VU University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Antoine Leuzy
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Carole H Sudre
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- Centre for Medical Image Computing, Department of Medical Physics, University College London, London, UK
| | - Olof Strandberg
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Ruben Smith
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | | | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
- Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden
| | - Tomas Olsson
- Department of Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Jonas Jögi
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Lund, Sweden
| | - Erik Stormrud
- Clinical Memory Research Unit, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Young Hoon Ryu
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Jae Yong Choi
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
- Division of applied RI, Korea Institute Radiological and Medical Sciences, Seoul, South Korea
| | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Maria L Gorno-Tempini
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - David Soleimani-Meigooni
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Leonardo Iaccarino
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | | | | | | | | | - Sylvia Villeneuve
- Departments of Psychiatry and Neurology & Neurosurgery, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Gil D Rabinovici
- F. Hoffmann-La Roche Ltd, Basel, Switzerland
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, Malmö, Sweden.
| |
Collapse
|
25
|
Lisko I, Kulmala J, Annetorp M, Ngandu T, Mangialasche F, Kivipelto M. How can dementia and disability be prevented in older adults: where are we today and where are we going? J Intern Med 2021; 289:807-830. [PMID: 33314384 PMCID: PMC8248434 DOI: 10.1111/joim.13227] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Ageing of the population, together with population growth, has brought along an ample increase in the number of older individuals living with dementia and disabilities. Dementia is the main cause of disability in old age, and promoting healthy brain ageing is considered as a key element in diminishing the burden of age-related disabilities. The World Health Organization recently launched the first risk reduction guidelines for cognitive impairment and dementia. According to recent estimates, approximately 40% of dementia cases worldwide could be attributable to 12 modifiable risk factors: low education; midlife hypertension and obesity; diabetes, smoking, excessive alcohol use, physical inactivity, depression, low social contact, hearing loss, traumatic brain injury and air pollution indicating clear prevention potential. Dementia and physical disability are closely linked with shared risk factors and possible shared underlying mechanisms supporting the possibility of integrated preventive interventions. FINGER trial was the first large randomized controlled trial indicating that multidomain lifestyle-based intervention can prevent cognitive and functional decline amongst at-risk older adults from the general population. Within the World-Wide FINGERS network, the multidomain FINGER concept is now tested and adapted worldwide proving evidence and tools for effective and easily implementable preventive strategies. Close collaboration between researchers, policymakers and healthcare practitioners, involvement of older adults and utilization of new technologies to support self-management is needed to facilitate the implementation of the research findings. In this scoping review, we present the current scientific evidence in the field of dementia and disability prevention and discuss future directions in the field.
Collapse
Affiliation(s)
- I. Lisko
- From theDivision of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Faculty of Sport and Health Sciences and Gerontology Research CenterUniversity of JyväskyläJyväskyläFinland
| | - J. Kulmala
- From theDivision of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Public Health Promotion UnitFinnish Institute for Health and WelfareHelsinkiFinland
- School of Health Care and Social WorkSeinäjoki University of Applied SciencesSeinäjokiFinland
| | - M. Annetorp
- Karolinska University Hospital, Theme AgingStockholmSweden
| | - T. Ngandu
- From theDivision of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Public Health Promotion UnitFinnish Institute for Health and WelfareHelsinkiFinland
| | - F. Mangialasche
- From theDivision of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Aging Research CenterDepartment of Neurobiology, Care Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - M. Kivipelto
- From theDivision of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
- Karolinska University Hospital, Theme AgingStockholmSweden
- Institute of Public Health and Clinical NutritionUniversity of Eastern FinlandHelsinkiFinland
- Ageing and Epidemiology (AGE) Research UnitSchool of Public HealthImperial College LondonLondonUK
| |
Collapse
|
26
|
Genetic Counselling Improves the Molecular Characterisation of Dementing Disorders. J Pers Med 2021; 11:jpm11060474. [PMID: 34073306 PMCID: PMC8227097 DOI: 10.3390/jpm11060474] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/20/2021] [Accepted: 05/24/2021] [Indexed: 12/31/2022] Open
Abstract
Dementing disorders are a complex group of neurodegenerative diseases characterised by different, but often overlapping, pathological pathways. Genetics have been largely associated with the development or the risk to develop dementing diseases. Recent advances in molecular technologies permit analyzing of several genes in a small time, but the interpretation analysis is complicated by several factors: the clinical complexity of neurodegenerative disorders, the frequency of co-morbidities, and the high phenotypic heterogeneity of genetic diseases. Genetic counselling supports the diagnostic path, providing an accurate familial and phenotypic characterisation of patients. In this review, we summarise neurodegenerative dementing disorders and their genetic determinants. Genetic variants and associated phenotypes will be divided into high and low impact, in order to reflect the pathologic continuum between multifactorial and mendelian genetic factors. Moreover, we report a molecular characterisation of genes associated with neurodegenerative disorders with cognitive impairment. In particular, the high frequency of rare coding genetic variants in dementing genes strongly supports the role of geneticists in both, clinical phenotype characterisation and interpretation of genotypic data. The smart application of exome analysis to dementia patients, with a pre-analytical selection on familial, clinical, and instrumental features, improves the diagnostic yield of genetic test, reduces time for diagnosis, and allows a rapid and personalised management of disease.
Collapse
|
27
|
Jellinger KA. Pathobiological Subtypes of Alzheimer Disease. Dement Geriatr Cogn Disord 2021; 49:321-333. [PMID: 33429401 DOI: 10.1159/000508625] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 05/11/2020] [Indexed: 11/19/2022] Open
Abstract
Alzheimer disease (AD), the most common form of dementia, is a heterogenous disorder with various pathobiological subtypes. In addition to the 4 major subtypes based on the distribution of tau pathology and brain atrophy (typical, limbic predominant, hippocampal sparing, and minimal atrophy [MA]), several other clinical variants showing distinct regional patterns of tau burden have been identified: nonamnestic, corticobasal syndromal, primary progressive aphasia, posterior cortical atrophy, behavioral/dysexecutive, and mild dementia variants. Among the subtypes, differences were found in age at onset, sex distribution, cognitive status, disease duration, APOE genotype, and biomarker levels. The patterns of key network destructions parallel the tau and atrophy patterns of the AD subgroups essentially. Interruption of key networks, in particular the default-mode network that is responsible for cognitive decline, is consistent in hetero-genous AD groups. AD pathology is often associated with co-pathologies: cerebrovascular lesions, Lewy pathology, and TDP-43 proteinopathies. These mixed pathologies essentially influence the clinical picture of AD and may accel-erate disease progression. Unraveling the heterogeneity among the AD spectrum entities is important for opening a window to pathogenic mechanisms affecting the brain and enabling precision medicine approaches as a basis for developing preventive and ultimately successful disease-modifying therapies for AD.
Collapse
|
28
|
Rosenberg A, Mangialasche F, Ngandu T, Solomon A, Kivipelto M. Multidomain Interventions to Prevent Cognitive Impairment, Alzheimer's Disease, and Dementia: From FINGER to World-Wide FINGERS. JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE 2021; 7:29-36. [PMID: 32010923 PMCID: PMC7222931 DOI: 10.14283/jpad.2019.41] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Alzheimer’s disease (AD) and dementia are a global public health priority, and prevention has been highlighted as a pivotal component in managing the dementia epidemic. Modifiable risk factors of dementia and AD include lifestyle-related factors, vascular and metabolic disorders, and psychosocial factors. Randomized controlled clinical trials (RCTs) are needed to clarify whether modifying such factors can prevent or postpone cognitive impairment and dementia in older adults. Given the complex, multifactorial, and heterogeneous nature of late-onset AD and dementia, interventions targeting several risk factors and mechanisms simultaneously may be required for optimal preventive effects. The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) is the first large, long-term RCT to demonstrate that a multidomain lifestyle-based intervention ameliorating vascular and lifestyle-related risk factors can preserve cognitive functioning and reduce the risk of cognitive decline among older adults at increased risk of dementia. To investigate the multidomain intervention in other populations and diverse cultural and geographical settings, the World-Wide FINGERS (WW-FINGERS) network was recently launched (https://alz.org/wwfingers). Within this network, new FINGER-type trials with shared core methodology, but local culture and context-specific adaptations, will be conducted in several countries. The WW-FINGERS initiative facilitates international collaborations, provides a platform for testing multidomain strategies to prevent cognitive impairment and dementia, and aims at generating high-quality scientific evidence to support public health and clinical decision-making. Furthermore, the WW-FINGERS network can support the implementation of preventive strategies and translation of research findings into practice.
Collapse
Affiliation(s)
- A Rosenberg
- Miia Kivipelto, Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Karolinska Universitetssjukhuset, Karolinska Vägen 37 A, QA32, 171 64 Solna, Sweden, Phone: +46 (0)73 99 40 922,
| | | | | | | | | |
Collapse
|
29
|
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.
Collapse
|
30
|
McAleese KE, Colloby SJ, Thomas AJ, Al-Sarraj S, Ansorge O, Neal J, Roncaroli F, Love S, Francis PT, Attems J. Concomitant neurodegenerative pathologies contribute to the transition from mild cognitive impairment to dementia. Alzheimers Dement 2021; 17:1121-1133. [PMID: 33663011 DOI: 10.1002/alz.12291] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 10/31/2020] [Accepted: 12/22/2020] [Indexed: 12/14/2022]
Abstract
INTRODUCTION The aged brain frequently exhibits multiple pathologies, rather than a single hallmark pathology (pure pathology [PurP]), ranging from low/intermediate levels of additional pathology (LowP) to mixed severe pathology (mixed SevP). We investigated the frequency of PurP, LowP, and mixed SevP, and the impact of additional LowP on cognition. METHODS Data came from 670 cases from the Brains for Dementia research program. Cases were categorized into PurP, mixed SevP, or a main disease with additional LowP; 508 cases had a clinical dementia rating. RESULTS 69.9% of cases had LowP, 22.7% had PurP, and 7.5% had mixed SevP. Additional LowP increased the likelihood of having mild dementia versus mild cognitive impairment (MCI) by almost 20-fold (odds ratio = 19.5). DISCUSSION Most aged individuals have multiple brain pathologies. The presence of one additional LowP can significantly worsen cognitive decline, increasing the risk of transitioning from MCI to dementia 20-fold. Multimorbidity should be considered in dementia research and clinical studies.
Collapse
Affiliation(s)
- Kirsty E McAleese
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Sean J Colloby
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Safa Al-Sarraj
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Olaf Ansorge
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - James Neal
- Department of Cellular Pathology, University Hospital of Wales, Cardiff, UK
| | - Federico Roncaroli
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, Manchester University, Manchester, UK and Manchester Centre for Clinical Neuroscience, Salford Royal Foundation Trust, Salford, UK
| | - Seth Love
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Paul T Francis
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,College of Medicine and Health, University of Exeter, Exeter, UK
| | - Johannes Attems
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| |
Collapse
|
31
|
Blevins BL, Vinters HV, Love S, Wilcock DM, Grinberg LT, Schneider JA, Kalaria RN, Katsumata Y, Gold BT, Wang DJJ, Ma SJ, Shade LMP, Fardo DW, Hartz AMS, Jicha GA, Nelson KB, Magaki SD, Schmitt FA, Teylan MA, Ighodaro ET, Phe P, Abner EL, Cykowski MD, Van Eldik LJ, Nelson PT. Brain arteriolosclerosis. Acta Neuropathol 2021; 141:1-24. [PMID: 33098484 PMCID: PMC8503820 DOI: 10.1007/s00401-020-02235-6] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 10/04/2020] [Accepted: 10/05/2020] [Indexed: 12/14/2022]
Abstract
Brain arteriolosclerosis (B-ASC), characterized by pathologic arteriolar wall thickening, is a common finding at autopsy in aged persons and is associated with cognitive impairment. Hypertension and diabetes are widely recognized as risk factors for B-ASC. Recent research indicates other and more complex risk factors and pathogenetic mechanisms. Here, we describe aspects of the unique architecture of brain arterioles, histomorphologic features of B-ASC, relevant neuroimaging findings, epidemiology and association with aging, established genetic risk factors, and the co-occurrence of B-ASC with other neuropathologic conditions such as Alzheimer's disease and limbic-predominant age-related TDP-43 encephalopathy (LATE). There may also be complex physiologic interactions between metabolic syndrome (e.g., hypertension and inflammation) and brain arteriolar pathology. Although there is no universally applied diagnostic methodology, several classification schemes and neuroimaging techniques are used to diagnose and categorize cerebral small vessel disease pathologies that include B-ASC, microinfarcts, microbleeds, lacunar infarcts, and cerebral amyloid angiopathy (CAA). In clinical-pathologic studies that factored in comorbid diseases, B-ASC was independently associated with impairments of global cognition, episodic memory, working memory, and perceptual speed, and has been linked to autonomic dysfunction and motor symptoms including parkinsonism. We conclude by discussing critical knowledge gaps related to B-ASC and suggest that there are probably subcategories of B-ASC that differ in pathogenesis. Observed in over 80% of autopsied individuals beyond 80 years of age, B-ASC is a complex and under-studied contributor to neurologic disability.
Collapse
Affiliation(s)
- Brittney L Blevins
- Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Harry V Vinters
- Department of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA
| | - Seth Love
- University of Bristol and Southmead Hospital, Bristol, BS10 5NB, UK
| | - Donna M Wilcock
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Lea T Grinberg
- Department of Neurology and Pathology, UCSF, San Francisco, CA, USA
- Global Brain Health Institute, UCSF, San Francisco, CA, USA
- LIM-22, Department of Pathology, University of Sao Paulo Medical School, São Paulo, Brazil
| | - Julie A Schneider
- Departments of Neurology and Pathology, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Rajesh N Kalaria
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - Brian T Gold
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Danny J J Wang
- Laboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Samantha J Ma
- Laboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Lincoln M P Shade
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - Anika M S Hartz
- Sanders-Brown Center on Aging, Department of Pharmacology and Nutritional Sciences, University Kentucky, Lexington, KY, 40536, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA
| | | | - Shino D Magaki
- Department of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA
| | - Merilee A Teylan
- Department of Epidemiology, University Washington, Seattle, WA, 98105, USA
| | | | - Panhavuth Phe
- Sanders-Brown Center on Aging, University Kentucky, Lexington, KY, 40536, USA
| | - Erin L Abner
- Sanders-Brown Center on Aging, Department of Epidemiology, University Kentucky, Lexington, KY, 40536, USA
| | - Matthew D Cykowski
- Departments of Pathology and Genomic Medicine and Neurology, Houston Methodist Hospital, Houston, TX, 77030, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, Department of Pathology, University of Kentucky, Lexington, KY, 40536, USA.
- Rm 311 Sanders-Brown Center on Aging, University of Kentucky, 800 S. Limestone Avenue, Lexington, KY, 40536, USA.
| |
Collapse
|
32
|
Massa F, Farotti L, Eusebi P, Capello E, Dottorini ME, Tranfaglia C, Bauckneht M, Morbelli S, Nobili F, Parnetti L. Reciprocal Incremental Value of 18F-FDG-PET and Cerebrospinal Fluid Biomarkers in Mild Cognitive Impairment Patients Suspected for Alzheimer's Disease and Inconclusive First Biomarker. J Alzheimers Dis 2020; 72:1193-1207. [PMID: 31683477 DOI: 10.3233/jad-190539] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND In Alzheimer's disease (AD) diagnosis, both cerebrospinal fluid (CSF) biomarkers and FDG-PET sometimes give inconclusive results. OBJECTIVE To evaluate the incremental diagnostic value of FDG-PET over CSF biomarkers, and vice versa, in patients with mild cognitive impairment (MCI) and suspected AD, in which the first biomarker resulted inconclusive. METHODS A consecutive series of MCI patients was retrospectively selected from two Memory Clinics where, as per clinical routine, either the first biomarker choice is FDG-PET and CSF biomarkers are only used in patients with uninformative FDG-PET, or vice versa. We defined criteria of uncertainty in interpretation of FDG-PET and CSF biomarkers, according to current evidence. The final diagnosis was established according to clinical-neuropsychological follow-up of at least one year (mean 4.4±2.2). RESULTS When CSF was used as second biomarker after FDG-PET, 14 out of 36 (39%) received informative results. Among these 14 patients, 11 (79%) were correctly classified with respect to final diagnosis, thus with a relative incremental value of CSF over FDG-PET of 30.6%. When FDG-PET was used as second biomarker, 26 out of 39 (67%) received informative results. Among these 26 patients, 15 (58%) were correctly classified by FDG-PET with respect to final diagnosis, thus with a relative incremental value over CSF of 38.5%. CONCLUSION Our real-world data confirm the added values of FDG-PET (or CSF) in a diagnostic pathway where CSF (or FDG-PET) was used as first biomarkers in suspected AD. These findings should be replicated in larger studies with prospective enrolment according to a Phase III design.
Collapse
Affiliation(s)
- Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Lucia Farotti
- Center for Memory Disorders and Laboratory of Clinical Neurochemistry, Neurology Clinic, University of Perugia, Perugia, Italy
| | - Paolo Eusebi
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy.,Health Planning Service, Department of Epidemiology, Regional Health Authority of Umbria, Perugia, Italy
| | | | - Massimo E Dottorini
- Nuclear Medicine Unit, "S. Maria della Misericordia" Hospital, Perugia, Italy
| | - Cristina Tranfaglia
- Nuclear Medicine Unit, "S. Maria della Misericordia" Hospital, Perugia, Italy
| | - Matteo Bauckneht
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Silvia Morbelli
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy.,Neurology Clinic, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Lucilla Parnetti
- Center for Memory Disorders and Laboratory of Clinical Neurochemistry, Neurology Clinic, University of Perugia, Perugia, Italy
| |
Collapse
|
33
|
Heldt NA, Reichenbach N, McGary HM, Persidsky Y. Effects of Electronic Nicotine Delivery Systems and Cigarettes on Systemic Circulation and Blood-Brain Barrier: Implications for Cognitive Decline. THE AMERICAN JOURNAL OF PATHOLOGY 2020; 191:243-255. [PMID: 33285126 DOI: 10.1016/j.ajpath.2020.11.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 10/23/2020] [Accepted: 11/06/2020] [Indexed: 12/17/2022]
Abstract
Electronic nicotine delivery systems (often known as e-cigarettes) are a novel tobacco product with growing popularity, particularly among younger demographics. The implications for public health are twofold, as these products may represent a novel source of tobacco-associated disease but may also provide a harm reduction strategy for current tobacco users. There is increasing recognition that e-cigarettes impact vascular function across multiple organ systems. Herein, we provide a comparison of evidence regarding the role of e-cigarettes versus combustible tobacco in vascular disease and implications for blood-brain barrier dysfunction and cognitive decline. Multiple non-nicotinic components of tobacco smoke have been identified in e-cigarette aerosol, and their involvement in vascular disease is discussed. In addition, nicotine and nicotinic signaling may modulate peripheral immune and endothelial cell populations in a highly context-dependent manner. Direct preclinical evidence for electronic nicotine delivery system-associated neurovascular impairment is provided, and a model is proposed in which non-nicotinic elements exert a proinflammatory effect that is functionally antagonized by the presence of nicotine.
Collapse
Affiliation(s)
- Nathan A Heldt
- Department of Pathology and Laboratory Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania; Center for Substance Abuse Research, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania.
| | - Nancy Reichenbach
- Department of Pathology and Laboratory Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania
| | - Hannah M McGary
- Department of Pathology and Laboratory Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania
| | - Yuri Persidsky
- Department of Pathology and Laboratory Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania; Center for Substance Abuse Research, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania.
| |
Collapse
|
34
|
Ferreira D, Przybelski SA, Lesnick TG, Lemstra AW, Londos E, Blanc F, Nedelska Z, Schwarz CG, Graff-Radford J, Senjem ML, Fields JA, Knopman DS, Savica R, Ferman TJ, Graff-Radford NR, Lowe VJ, Jack CR, Petersen RC, Mollenhauer B, Garcia-Ptacek S, Abdelnour C, Hort J, Bonanni L, Oppedal K, Kramberger MG, Boeve BF, Aarsland D, Westman E, Kantarci K. β-Amyloid and tau biomarkers and clinical phenotype in dementia with Lewy bodies. Neurology 2020; 95:e3257-e3268. [PMID: 32989106 DOI: 10.1212/wnl.0000000000010943] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 08/06/2020] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE In a multicenter cohort of probable dementia with Lewy bodies (DLB), we tested the hypothesis that β-amyloid and tau biomarker positivity increases with age, which is modified by APOE genotype and sex, and that there are isolated and synergistic associations with the clinical phenotype. METHODS We included 417 patients with DLB (age 45-93 years, 31% women). Positivity on β-amyloid (A+) and tau (T+) biomarkers was determined by CSF β-amyloid1-42 and phosphorylated tau in the European cohort and by Pittsburgh compound B and AV-1451 PET in the Mayo Clinic cohort. Patients were stratified into 4 groups: A-T-, A+T-, A-T+, and A+T+. RESULTS A-T- was the largest group (39%), followed by A+T- (32%), A+T+ (15%), and A-T+ (13%). The percentage of A-T- decreased with age, and A+ and T+ increased with age in both women and men. A+ increased more in APOE ε4 carriers with age than in noncarriers. A+ was the main predictor of lower cognitive performance when considered together with T+. T+ was associated with a lower frequency of parkinsonism and probable REM sleep behavior disorder. There were no significant interactions between A+ and T+ in relation to the clinical phenotype. CONCLUSIONS Alzheimer disease pathologic changes are common in DLB and are associated with the clinical phenotype. β-Amyloid is associated with cognitive impairment, and tau pathology is associated with lower frequency of clinical features of DLB. These findings have important implications for diagnosis, prognosis, and disease monitoring, as well as for clinical trials targeting disease-specific proteins in DLB. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that in patients with probable DLB, β-amyloid is associated with lower cognitive performance and tau pathology is associated with lower frequency of clinical features of DLB.
Collapse
Affiliation(s)
- Daniel Ferreira
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Scott A Przybelski
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Timothy G Lesnick
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Afina W Lemstra
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Elisabet Londos
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Frederic Blanc
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Zuzana Nedelska
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Christopher G Schwarz
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Jonathan Graff-Radford
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Matthew L Senjem
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Julie A Fields
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - David S Knopman
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Rodolfo Savica
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Tanis J Ferman
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Neill R Graff-Radford
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Val J Lowe
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Clifford R Jack
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Ronald C Petersen
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Brit Mollenhauer
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Sara Garcia-Ptacek
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Carla Abdelnour
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Jakub Hort
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Laura Bonanni
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Ketil Oppedal
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Milica G Kramberger
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Bradley F Boeve
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Dag Aarsland
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Eric Westman
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Kejal Kantarci
- From the Division of Clinical Geriatrics (D.F., S.G.-P., E.W.), Center for Alzheimer's Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Departments of Radiology (D.F., Z.N., C.G.S., M.L.S., V.J.L., C.R.J., K.K.), Health Sciences (S.A.P., T.G.L.), Neurology (J.G.-R., D.S.K., R.S., R.C.P., B.F.B.), Information Technology (M.L.S.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN; Department of Neurology and Alzheimer Center (A.W.L.), VU University Medical Center, Amsterdam, the Netherlands; Clinical Memory Research Unit (E.L.), Department of Clinical Sciences, Lund University, Malmö, Sweden; Day Hospital of Geriatrics (F.B.), Memory Resource and Research Centre (CM2R) of Strasbourg; Department of Geriatrics (F.B.), Hopitaux Universitaires de Strasbourg; University of Strasbourg and French National Centre for Scientific Research (CNRS) (F.B.), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France; Department of Neurology (Z.N., J.H.), Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; Departments of Psychiatry and Psychology (T.J.F.) and Neurology (N.R.G.-R.), Mayo Clinic, Jacksonville, FL; Paracelsus-Elena-Klinik (B.M.), Kassel; and University Medical Center (B.M.), Department of Neurosurgery and Institute of Neuropathology, Göttingen, Germany; Fundació ACE (C.A.), Alzheimer Research Center and Memory Clinic, Institut Català de Neurociències Aplicades, Barcelona, Spain; International Clinical Research Center (J.H.), St. Anne's University Hospital Brno, Czech Republic; Department of Neuroscience Imaging and Clinical Sciences and CESI (L.B.), University G d'Annunzio of Chieti-Pescara, Chieti, Italy; Centre for Age-Related Medicine (K.O., D.A.), Stavanger University Hospital; Stavanger Medical Imaging Laboratory (SMIL) (K.O.), Department of Radiology, Stavanger University Hospital; Department of Electrical Engineering and Computer Science (K.O.), University of Stavanger, Norway; Department of Neurology (M.G.K.), University Medical Centre Ljubljana, Medical Faculty, University of Ljubljana, Slovenia; Institute of Psychiatry, Psychology and Neuroscience (D.A.) and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
| |
Collapse
|
35
|
Increased blood BACE1 activity as a potential common pathogenic factor of vascular dementia and late onset Alzheimer's disease. Sci Rep 2020; 10:14980. [PMID: 32917964 PMCID: PMC7486910 DOI: 10.1038/s41598-020-72168-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 08/27/2020] [Indexed: 11/08/2022] Open
Abstract
Late onset Alzheimer disease (LOAD) is traditionally considered as a separate disease from vascular dementia (VAD). However, growing evidence suggests that β-amyloid (Aβ) accumulation, that initiates LOAD-related neurodegeneration, is preceded by vascular events. Previous in vitro studies showed that β-secretase 1 (BACE1), the key-enzyme of amyloidogenesis, is upregulated by cerebrovascular insult; moreover, its activity is increased both in brain and serum of LOAD patients. We aimed to investigate whether BACE1 serum activity is altered also in dementias related, or not, to cerebrovascular disease. Thus, we evaluated serum BACE1 activity in a sample of individuals, including patients with LOAD (n. 175), VAD (n. 40), MIXED (LOAD/VAD) dementia (n. 123), other types of dementia (n. 56), and healthy Controls (n. 204). We found that BACE1 was significantly higher not only in LOAD (+ 30%), but also in VAD (+ 35%) and MIXED dementia (+ 22%) (p < 0.001 for all), but not in the other types of dementia (+ 10%). Diagnostic accuracy was 77% for LOAD, 83% for VAD, and 77% for MIXED dementia. In conclusion, we showed for the first time that the increase in peripheral BACE1 activity is a common feature of LOAD and VAD, thus underlying a further pathogenic link between these two forms of dementia.
Collapse
|
36
|
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.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
| |
Collapse
|
37
|
|
38
|
Oudart JB, Djerada Z, Nonnonhou V, Badr S, Bertholon LA, Dammak A, Jaidi Y, Novella JL, Pallet N, Gillery P, Mahmoudi R. Incremental Value of CSF Biomarkers in Clinically Diagnosed AD and Non-AD Dementia. Front Neurol 2020; 11:560. [PMID: 32670183 PMCID: PMC7330115 DOI: 10.3389/fneur.2020.00560] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 05/18/2020] [Indexed: 11/22/2022] Open
Abstract
Background: Cerebrospinal fluid (CSF) biomarkers are used to diagnose Alzheimer disease (AD), especially in atypical clinical presentations. No consensus currently exists regarding cut-off values. This study aimed, firstly, to define optimal cut-off values for CSF biomarkers, and secondly, to investigate the most relevant diagnostic strategy for AD based on CSF biomarker combinations. Methods: A total of 380 patients were prospectively included: 140 with AD, 240 with various neurological diagnoses (non-AD). CSF biomarkers were measured using ELISA. Univariate and multivariate analyses were performed using random forest and logistic regression approaches. Results: Univariate receiver operating curve curves analysis of T-Tau, P-Tau181, Aβ42, Aβ40 concentrations, and Aβ42/Aβ40 ratio levels showed AD cut-off values of ≥355, ≥57, ≤706, ≥10,854, and ≤0.059 ng/L, respectively. Multivariate analysis using random forest and logistic regression found that the algorithm based on P-Tau181, Aβ42 concentrations and Aβ42/Aβ40 ratio yielded the best discrimination between AD and non-AD populations. The cross-validation technique of the final model showed a mean accuracy of 0.85 and a mean AUC of 0.89. Conclusion: This study confirms that the Aβ42/Aβ40 ratio was more useful than the Aβ40 concentration in discriminating AD from non-AD populations in daily practice. These results indicate that the Aβ42/Aβ40 ratio should be assessed in all cases, independently of Aβ42 concentrations.
Collapse
Affiliation(s)
- Jean-Baptiste Oudart
- Laboratory of Biochemistry and Molecular Biology, Faculty of Medicine, University of Reims Champagne-Ardenne, SFR CAP-Santé (FED 4231), Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire - MEDyC, Reims, France.,Laboratory of Biochemistry, Pharmacology and Toxicology, Reims University Hospital, Reims, France
| | - Zoubir Djerada
- Laboratory of Biochemistry, Pharmacology and Toxicology, Reims University Hospital, Reims, France.,Department of Pharmacology, E.A.3801, SFR CAP-santé, Reims University Hospital, Reims, France
| | - Vignon Nonnonhou
- Champagne-Ardenne Resource and Research Memory Center (CMRR), Maison Blanche Hospital, Reims University Hospital, Reims, France.,Department of Internal Medicine and Geriatrics, Maison Blanche Hospital, Reims University Hospital, Reims, France
| | - Sarah Badr
- Department of Internal Medicine and Geriatrics, Maison Blanche Hospital, Reims University Hospital, Reims, France
| | - Laurie-Anne Bertholon
- Department of Internal Medicine and Geriatrics, Maison Blanche Hospital, Reims University Hospital, Reims, France
| | - Anis Dammak
- Department of Psychiatry, Public Institution of Mental Health Marne, Châlons-en-Champagne Cedex, France
| | - Yacine Jaidi
- Department of Internal Medicine and Geriatrics, Maison Blanche Hospital, Reims University Hospital, Reims, France
| | - Jean-Luc Novella
- Champagne-Ardenne Resource and Research Memory Center (CMRR), Maison Blanche Hospital, Reims University Hospital, Reims, France.,Department of Internal Medicine and Geriatrics, Maison Blanche Hospital, Reims University Hospital, Reims, France.,Faculty of Medicine, University of Reims Champagne-Ardenne, Reims, France
| | - Nicolas Pallet
- Department of Biochemistry, Georges Pompidou European Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Philippe Gillery
- Laboratory of Biochemistry and Molecular Biology, Faculty of Medicine, University of Reims Champagne-Ardenne, SFR CAP-Santé (FED 4231), Reims, France.,CNRS UMR 7369, Matrice Extracellulaire et Dynamique Cellulaire - MEDyC, Reims, France.,Laboratory of Biochemistry, Pharmacology and Toxicology, Reims University Hospital, Reims, France
| | - Rachid Mahmoudi
- Champagne-Ardenne Resource and Research Memory Center (CMRR), Maison Blanche Hospital, Reims University Hospital, Reims, France.,Department of Internal Medicine and Geriatrics, Maison Blanche Hospital, Reims University Hospital, Reims, France.,Faculty of Medicine, University of Reims Champagne-Ardenne, Reims, France
| |
Collapse
|
39
|
Shim KH, Kang MJ, Suh JW, Pyun JM, Ryoo N, Park YH, Youn YC, Jang JW, Jeong JH, Park KW, Choi SH, Suk K, Lee HW, Ko PW, Lee CN, Lim TS, An SSA, Kim S. CSF total tau/α-synuclein ratio improved the diagnostic performance for Alzheimer's disease as an indicator of tau phosphorylation. ALZHEIMERS RESEARCH & THERAPY 2020; 12:83. [PMID: 32660565 PMCID: PMC7359621 DOI: 10.1186/s13195-020-00648-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 06/24/2020] [Indexed: 12/12/2022]
Abstract
Background Recently, several studies suggested potential involvements of α-synuclein in Alzheimer’s disease (AD) pathophysiology. Higher concentrations of α-synuclein were reported in cerebrospinal fluid (CSF) of AD patients with a positive correlation towards CSF tau, indicating its possible role in AD. We analyzed the CSF biomarkers to verify whether α-synuclein could be an additional supported biomarker in AD diagnosis. Methods In this cross-sectional study, CSF samples of 71 early-onset AD, 34 late-onset AD, 11 mild cognitive impairment, 17 subjective cognitive decline, 45 Parkinson’s disease, and 32 healthy control (HC) were collected. CSF amyloid-β1-42 (A), total tau (N), and phosphorylated tau181 (T) were measured by commercial ELISA kits, and in-house ELISA kit was developed to quantify α-synuclein. The cognitive assessments and amyloid-PET imaging were also performed. Results CSF α-synuclein manifested a tendency to increase in AD and to decreased in Parkinson’s disease compared to HC. The equilibrium states of total tau and α-synuclein concentrations were changed significantly in AD, and the ratio of total tau/α-synuclein (N/αS) was dramatically increased in AD than HC. Remarkably, N/αS revealed a strong positive correlation with tau phosphorylation rate. Also, the combination of N/αS with amyloid-β1-42/phosphorylated tau181 ratio had the best diagnosis performance (AUC = 0.956, sensitivity = 96%, specificity = 87%). In concordance analysis, N/αS showed the higher diagnostic agreement with amyloid-β1-42 and amyloid-PET. Analysis of biomarker profiling with N/αS had distinctive characteristics and clustering of each group. Especially, among the group of suspected non-Alzheimer’s disease pathophysiology, all A−T+N+ patients with N/αS+ were reintegrated into AD. Conclusions The high correlation of α-synuclein with tau and the elevated N/αS in AD supported the involvement of α-synuclein in AD pathophysiology. Importantly, N/αS improved the diagnostic performance, confirming the needs of incorporating α-synuclein as a biomarker for neurodegenerative disorders. The incorporation of a biomarker group [N/αS] could contribute to provide better understanding and diagnosis of neurodegenerative disorders.
Collapse
Affiliation(s)
- Kyu Hwan Shim
- Department of Neurology, Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Min Ju Kang
- Department of Neurology, Veterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea
| | - Jee Won Suh
- Department of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Jung-Min Pyun
- Department of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Nayoung Ryoo
- Department of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Young Ho Park
- Department of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Young Chul Youn
- Department of Neurology, Chung-Ang University Hospital, Seoul, Republic of Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chouncheon, South Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Mokdong HospitalEwha Womans University, Seoul, Republic of Korea
| | - Kyung Won Park
- Department of Neurology, Dong-A University College of Medicine and Institute of Convergence Bio-Health, Busan, Republic of Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea
| | - Kyoungho Suk
- Department of Pharmacology, Kyungpook National University School of Medicine, Daegu, Republic of Korea
| | - Ho-Won Lee
- Department of Neurology, Kyungpook National University School of Medicine, Daegu, Republic of Korea
| | - Pan-Woo Ko
- Department of Neurology, Kyungpook National University School of Medicine, Daegu, Republic of Korea
| | - Chan-Nyoung Lee
- Department of Neurology, Korea University Medicine, Seoul, Republic of Korea
| | - Tae-Sung Lim
- Department of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Seong Soo A An
- Department of Bionano Technology, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea.
| | - SangYun Kim
- Department of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea.
| | | |
Collapse
|
40
|
Rosa G, Giannotti C, Martella L, Massa F, Serafini G, Pardini M, Nobili FM, Monacelli F. Brain Aging, Cardiovascular Diseases, Mixed Dementia, and Frailty in the Oldest Old: From Brain Phenotype to Clinical Expression. J Alzheimers Dis 2020; 75:1083-1103. [DOI: 10.3233/jad-191075] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Gianmarco Rosa
- Department of Internal Medicine and Medical Specialties, DIMI, Section of Cardiovascular Diseases, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Chiara Giannotti
- Department of Internal Medicine and Medical Specialties, DIMI, Section of Geriatrics, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Lucia Martella
- Department of Internal Medicine and Medical Specialties, DIMI, Section of Geriatrics, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Matteo Pardini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Flavio Mariano Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health DINOGMI, Section of Psychiatry, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Fiammetta Monacelli
- Department of Internal Medicine and Medical Specialties, DIMI, Section of Geriatrics, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | |
Collapse
|
41
|
Smith CR, Cullen B, Sheridan MP, Cavanagh J, Grosset KA, Grosset DG. Cognitive impairment in Parkinson's disease is multifactorial: A neuropsychological study. Acta Neurol Scand 2020; 141:500-508. [PMID: 32002988 DOI: 10.1111/ane.13226] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 01/06/2020] [Accepted: 01/27/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND In Parkinson's disease, mild cognitive impairment and dementia are associated with α-synuclein deposition and spread. However, coexistent Alzheimer's disease and cerebrovascular disease are common at autopsy, and may affect cognition. Our objective was to map cognitive impairment in Parkinson's disease to these different causes using clinical assessment. METHODS Neuropsychological testing was performed in a cross-sectional sample of cognitively impaired patients with Parkinson's disease. The pattern of deficits in varying cognitive domains was mapped to the presentations that typify different diseases. Data were analysed by an expert multidisciplinary panel, referencing diagnostic criteria, to reach a consensus diagnosis for the cognitive dysfunction. RESULTS There were 45 participants with Parkinson's disease and cognitive impairment, 73.3% male, mean age 69.1 years (SD 8.3). Twenty-seven (60.0%) had mild cognitive impairment, and 18 had dementia (40.0%). Cognitive impairment was primarily attributable to Lewy body disease alone in 19 of 45 patients (42.2%), to Lewy body disease plus Alzheimer's in 14 of 45 (31.1%), to Lewy body plus cerebrovascular disease in 6 of 45 (13.3%), and to Lewy body plus Alzheimer's and cerebrovascular disease in 1 of 45 (2.2%). The cognitive decline was not primarily Lewy-related in 5 of 45 patients (11.1%); in 4 of 45 (8.9%), it was primarily attributable to Alzheimer's disease, and 1 of 45 (2.2%) had behavioural-variant frontotemporal dementia. CONCLUSION Neuropsychological testing identifies distinct patterns of cognitive impairment in Parkinson's disease that provide clear pointers to comorbid disease processes, the most common being Alzheimer's disease. This approach may prove useful in clinical practice and has implications for clinical trials that target α-synuclein.
Collapse
Affiliation(s)
- Callum R. Smith
- Department of Neurology NHS Greater Glasgow and Clyde Glasgow UK
| | - Breda Cullen
- Institute of Health and Wellbeing University of Glasgow Glasgow UK
| | | | | | | | | |
Collapse
|
42
|
Konijnenberg E, Tijms BM, Gobom J, Dobricic V, Bos I, Vos S, Tsolaki M, Verhey F, Popp J, Martinez-Lage P, Vandenberghe R, Lleó A, Frölich L, Lovestone S, Streffer J, Bertram L, Blennow K, Teunissen CE, Veerhuis R, Smit AB, Scheltens P, Zetterberg H, Visser PJ. APOE ε4 genotype-dependent cerebrospinal fluid proteomic signatures in Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 2020; 12:65. [PMID: 32460813 PMCID: PMC7254647 DOI: 10.1186/s13195-020-00628-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 05/06/2020] [Indexed: 02/04/2023]
Abstract
Background Aggregation of amyloid β into plaques in the brain is one of the earliest pathological events in Alzheimer’s disease (AD). The exact pathophysiology leading to dementia is still uncertain, but the apolipoprotein E (APOE) ε4 genotype plays a major role. We aimed to identify the molecular pathways associated with amyloid β aggregation using cerebrospinal fluid (CSF) proteomics and to study the potential modifying effects of APOE ε4 genotype. Methods We tested 243 proteins and protein fragments in CSF comparing 193 subjects with AD across the cognitive spectrum (65% APOE ε4 carriers, average age 75 ± 7 years) against 60 controls with normal CSF amyloid β, normal cognition, and no APOE ε4 allele (average age 75 ± 6 years). Results One hundred twenty-nine proteins (53%) were associated with aggregated amyloid β. APOE ε4 carriers with AD showed altered concentrations of proteins involved in the complement pathway and glycolysis when cognition was normal and lower concentrations of proteins involved in synapse structure and function when cognitive impairment was moderately severe. APOE ε4 non-carriers with AD showed lower expression of proteins involved in synapse structure and function when cognition was normal and lower concentrations of proteins that were associated with complement and other inflammatory processes when cognitive impairment was mild. Repeating analyses for 114 proteins that were available in an independent EMIF-AD MBD dataset (n = 275) showed that 80% of the proteins showed group differences in a similar direction, but overall, 28% effects reached statistical significance (ranging between 6 and 87% depending on the disease stage and genotype), suggesting variable reproducibility. Conclusions These results imply that AD pathophysiology depends on APOE genotype and that treatment for AD may need to be tailored according to APOE genotype and severity of the cognitive impairment.
Collapse
Affiliation(s)
- Elles Konijnenberg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.
| | - Johan Gobom
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Valerija Dobricic
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Isabelle Bos
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Stephanie Vos
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Magda Tsolaki
- 1st Department of Neurology, AHEPA University Hospital, Thessaloniki, Macedonia, Greece
| | - Frans Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Julius Popp
- Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
| | - Pablo Martinez-Lage
- Department of Neurology, Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, San Sebastian, Spain
| | | | - Alberto Lleó
- Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Lutz Frölich
- Department of Geriatric Psychiatry, Zentralinstitut für Seelische Gesundheit, University of Heidelberg, Mannheim, Germany
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford, Oxford, UK.,Janssen R&D, Beerse, Belgium
| | - Johannes Streffer
- Early Clinical Neurology, UCB Biopharma SPRL, Braine-l'Alleud, Belgium.,Present Address: Janssen R&D, LLC, Beerse, Belgium
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany.,School of Public Health, Imperial College London, London, UK.,Department of Psychology, University of Oslo, Oslo, Norway
| | - Kaj Blennow
- Clinical Neurochemistry Lab, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Robert Veerhuis
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - August B Smit
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.,Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute, London, UK
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands.,Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Instutet, Stockholm, Sweden
| |
Collapse
|
43
|
Guerreiro R, Gibbons E, Tábuas-Pereira M, Kun-Rodrigues C, Santo GC, Bras J. Genetic architecture of common non-Alzheimer's disease dementias. Neurobiol Dis 2020; 142:104946. [PMID: 32439597 PMCID: PMC8207829 DOI: 10.1016/j.nbd.2020.104946] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/04/2020] [Accepted: 05/13/2020] [Indexed: 02/07/2023] Open
Abstract
Frontotemporal dementia (FTD), dementia with Lewy bodies (DLB) and vascular dementia (VaD) are the most common forms of dementia after Alzheimer’s disease (AD). The heterogeneity of these disorders and/or the clinical overlap with other diseases hinder the study of their genetic components. Even though Mendelian dementias are rare, the study of these forms of disease can have a significant impact in the lives of patients and families and have successfully brought to the fore many of the genes currently known to be involved in FTD and VaD, starting to give us a glimpse of the molecular mechanisms underlying these phenotypes. More recently, genome-wide association studies have also pointed to disease risk-associated loci. This has been particularly important for DLB where familial forms of disease are very rarely described. In this review we systematically describe the Mendelian and risk genes involved in these non-AD dementias in an effort to contribute to a better understanding of their genetic architecture, find differences and commonalities between different dementia phenotypes, and uncover areas that would benefit from more intense research endeavors.
Collapse
Affiliation(s)
- Rita Guerreiro
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA; Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, USA.
| | - Elizabeth Gibbons
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Miguel Tábuas-Pereira
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Celia Kun-Rodrigues
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Gustavo C Santo
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
| | - Jose Bras
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA; Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, USA
| |
Collapse
|
44
|
Transcranial Doppler could help to differentiate the types of dementia? A pilot study when CSF biomarkers are not available. J Neural Transm (Vienna) 2020; 127:899-904. [PMID: 32221721 DOI: 10.1007/s00702-020-02178-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 03/17/2020] [Indexed: 10/24/2022]
Abstract
Our objective was to find a mean flow velocity (MFV) cut-off point to differentiate between normal and cognitive impaired patients using Clinical Dementia Rating (CDR) as a comparison method. To evaluate MFV (in cm/s) and pulsatility index (PI) from the left middle cerebral artery (MCA) and basilar artery using transcranial Doppler in a pilot study from an outpatient cognition unit and compare with cognitively normal older adults (at the age of sixty or older) from the Geriatric Ambulatory of Fluminense Federal University. We hypothesized that there is a MFV and PI cut-off point to potentially distinguish between normal and impaired cognition. Sixty-one patients with cognitive decline, including 18 with amnestic mild cognitive impairment (aMCI), 31 with probable Alzheimer disease (AD), 12 with vascular dementia (VD), and 10 cognitively normal older adults were included in the study. Patients with dementia (both AD and VD, p < 0.01) and aMCI (p < 0.05) had lower MFV than the control group in the MCA (32.2 cm/s, 31.9 cm/s, and 36.6 cm/s, respectively) and dementia patients had higher PI compared to control (AD and VD, both p < 0.05). Basilar MFV showed to be no difference between the patients and the control group. A cut off value of 39.1 cm/s was found in a ROC curve (area under de curve value 0.85, 95% CI 0.75-0.95) for mean MCA MFV to be predictive of cognitive impairment (CDR ≥ 0.5). In this study, the values of MCA MFV below 39.1 cm/s were predictive of cognitive impairment according to CDR. TCD is an inexpensive method that could be used in a clinical scenario to help differentiate normal cognition from cognitive decline. Multicentric and longitudinal studies should be done to validate that.
Collapse
|
45
|
Dumurgier J, Tzourio C. Epidemiology of neurological diseases in older adults. Rev Neurol (Paris) 2020; 176:642-648. [PMID: 32145981 DOI: 10.1016/j.neurol.2020.01.356] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 12/20/2019] [Accepted: 01/28/2020] [Indexed: 02/07/2023]
Abstract
Neurological diseases refer to the diseases that target the nervous system (brain, spine or nerves). They are the second leading cause of death, and the first cause of severe long-term disability in the world. The prevalence of most neurological diseases increases sharply with age, and age also modulates the impact of risk factors, clinical presentation and the natural course of these diseases. Longitudinal population-based studies provide useful insights for a better understanding of the specificities of neurological diseases in older adults by assessment of a wide range of risk factors. Rapid population aging, especially in low-income countries, presents challenges in terms of health and social care. A multidisciplinary approach is necessary to find solutions to tackle the burden of neurological diseases in older adults.
Collapse
Affiliation(s)
- J Dumurgier
- Cognitive Neurology Center, Saint-Louis - Lariboisière - Fernand-Widal Hospital, AP-HP, université de Paris, Paris, France; Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, université de Paris, Paris, France.
| | - C Tzourio
- Bordeaux Population Health Research Center, UMR1219, université de Bordeaux, Bordeaux, France
| |
Collapse
|
46
|
Titheradge D, Isaac M, Bremner S, Tabet N. Cambridge Cognitive Examination and Hachinski Ischemic Score as predictors of MRI confirmed pathology in dementia: A cross-sectional study. Int J Clin Pract 2020; 74:e13446. [PMID: 31750588 DOI: 10.1111/ijcp.13446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 11/14/2019] [Accepted: 11/19/2019] [Indexed: 11/28/2022] Open
Abstract
AIMS AND BACKGROUND Dementia is diagnosed through a combination of clinical assessment, cognitive assessment tools and neuroimaging. The aim of this retrospective, naturalistic study was to explore the association between the clinical assessment tools used in a memory clinic and the findings of Magnetic Resonance Imaging (MRI) scans in patients with dementia. METHODS Data were collected through routine clinical practice for all patients assessed at a memory assessment clinic in East Sussex, UK. Included patients had an MRI scan and received a formal diagnosis of dementia. Multinomial logistic regression was used to investigate the associations between atrophy on MRI with age, gender, Cambridge Cognitive Examination (CAMCOG) and Hachinski Ischemic Score (HIS). Ordinal logistic regression was used to study the associations between vascular findings on MRI with age, gender, CAMCOG and HIS. Because of the distribution of HIS scores a cut-off of 1 or greater was used in the regression analysis. RESULTS Male gender was associated with an increased likelihood of moderate atrophy (relative risk ratio (RRR) = 1.99, 95% confidence interval (CI) = 1.04-3.82), severe atrophy (RRR = 3.04, 95% CI = 1.38-6.68) and regional atrophy (RRR = 2.25, 95% CI = 1.26-4.00) on MRI. An increase of one point on the CAMCOG was associated with a decreased risk of regional atrophy (RRR = 0.98, 95% CI = 0.96-1.00) on MRI. There were no significant associations between age, or HIS, and atrophy on MRI. An increase in age of one year was associated with an increase in severity of vascular pathology reported on MRI (OR = 1.08, 95% CI = 1.05-1.12). Male gender was associated with reduced severity of vascular pathology reported on MRI (OR = 0.53, 95% CI = 0.36-0.78). There were no associations between CAMCOG, or HIS, and vascular pathology on MRI. DISCUSSION Our data show that CAMCOG was associated with MRI findings of regional atrophy and vascular pathology was greater in older patients. We highlight the importance of using a multi-modal approach to dementia diagnosis.
Collapse
Affiliation(s)
| | - Mokhtar Isaac
- Sussex Partnership NHS Foundation Trust, Worthing, UK
| | | | - Naji Tabet
- Brighton and Sussex Medical School, Brighton, UK
| |
Collapse
|
47
|
Yang H, Wang W, Jia L, Qin W, Hou T, Wu Q, Li H, Tian Y, Jia J. The Effect of Chronic Cerebral Hypoperfusion on Blood-Brain Barrier Permeability in a Transgenic Alzheimer's Disease Mouse Model (PS1V97L). J Alzheimers Dis 2020; 74:261-275. [PMID: 32007956 DOI: 10.3233/jad-191045] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The blood-brain barrier (BBB) can restrict the therapeutic effects of Alzheimer's disease (AD) medications. While a large number of AD drug treatment trials targeting BBB dynamics have emerged, most have failed due to insufficient permeability. Furthermore, a subset of AD cases, which also feature chronic hypoperfusion are complicated by BBB deficits. We used a mouse model of AD with chronic hypoperfusion-transgenic mice (PS1V97L) with right common carotid artery ligation. In this model, we assessed how chronic cerebral hypoperfusion changed the pathophysiological processes that increase BBB permeability. Compared with control mice, AD mice with chronic hypoperfusion revealed significantly upregulated expression of the receptor for advanced glycation end products (RAGE) on the BBB. Upregulated RAGE caused increased accumulation of amyloid-β (Aβ) in the brain in these mice. Upregulation of RAGE (or binding to Aβ) can promote activation of the NF-κB pathway and enhance oxidative stress and increase the release of pro-inflammatory factors. These factors promoted the reduction of tight junction proteins between the endothelial cells in the BBB and increased its permeability. These findings suggest that the transporter RAGE dysregulation on the BBB initiates a series of pathophysiological processes which lead to increased BBB permeability. Taken together, we have shown that chronic hypoperfusion can serve to enhance and aggravate the BBB impairment in AD.
Collapse
Affiliation(s)
- Heyun Yang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Department of Neurology, The First Hospital of Kunming, Kunming, Yunnan, China
| | - Wei Wang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Longfei Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Wei Qin
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Tingting Hou
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Qiaoqi Wu
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Haitao Li
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Yuanruhua Tian
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| |
Collapse
|
48
|
Lee WJ, Liao YC, Wang YF, Lin YS, Wang SJ, Fuh JL. Summative Effects of Vascular Risk Factors on the Progression of Alzheimer Disease. J Am Geriatr Soc 2019; 68:129-136. [PMID: 31587263 DOI: 10.1111/jgs.16181] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 08/15/2019] [Accepted: 08/16/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVES To investigate the summative effects of vascular risk factors (VRFs) on the progression of Alzheimer disease (AD). DESIGN Longitudinal follow-up cohort study. SETTING AD patients from two teaching hospitals in Taiwan with 3-year follow-ups. PARTICIPANTS A total of 330 AD patients with a mean age of 80.7 years, a mean Mini-Mental State Examination (MMSE) score 18.7, and a mean Clinical Dementia Rating Sum of Boxes (CDRSB) score of 6.9. MEASUREMENTS All patients completed a clinically functional assessment and a neuropsychological test battery at baseline and yearly follow-ups. The VRF burden was combined into a summative VRF index at baseline (ie, having one, two, or more VRFs); VRFs included coronary heart disease, cardiac arrhythmia, hypertension, cerebrovascular disease, diabetes mellitus, obesity, smoking, and physical inactivity. The generalized estimating equation (GEE) method was used to analyze the correlations between the VRFs and longitudinal MMSE and CDRSB changes. RESULTS The results of the GEE adjusted for age, years of education, sex, disease duration, baseline MMSE score, time, apolipoprotein E (APOE) ε4 carrier status, use of medications (acetylcholinesterase inhibitors or N-methyl-D-aspartate receptor antagonists), and hospitalization rates and showed that patients with more than three VRFs had more rapid cognitive decline than patients without VRFs (MMSE, P = .02; CDRSB, P = .001) as well as patients with three or fewer VRFs (MMSE, P = .009; CDRSB, P = .02). Subsequent analyses of APOE ε4 carriers with more than three VRFs also showed their more rapid cognitive decline compared with patients without VRFs (MMSE, P = .02; CDRSB, P = .001) and patients with three or fewer VRFs (MMSE, P = .009; CDRSB, P = .02), but no significant difference was found in APOE ε4 noncarriers. CONCLUSION Multiple VRFs have summative effects on the progression of AD, especially in APOE ε4 carriers. J Am Geriatr Soc 68:129-136, 2019.
Collapse
Affiliation(s)
- Wei-Ju Lee
- Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan.,Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Dementia and Parkinson's Disease Integrated Center, Taichung Veterans General Hospital, Taichung, Taiwan.,Center for Geriatrics and Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Yi-Chu Liao
- Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Division of Peripheral Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yen-Feng Wang
- Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Division of General Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yung-Shuan Lin
- Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Division of General Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shuu-Jiun Wang
- Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Division of General Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Jong-Ling Fuh
- Faculty of Medicine, National Yang-Ming University Schools of Medicine, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Division of General Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| |
Collapse
|
49
|
Kivipelto M, Mangialasche F, Ngandu T. Lifestyle interventions to prevent cognitive impairment, dementia and Alzheimer disease. Nat Rev Neurol 2019; 14:653-666. [PMID: 30291317 DOI: 10.1038/s41582-018-0070-3] [Citation(s) in RCA: 597] [Impact Index Per Article: 119.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Research into dementia prevention is of paramount importance if the dementia epidemic is to be halted. Observational studies have identified several potentially modifiable risk factors for dementia, including hypertension, dyslipidaemia and obesity at midlife, diabetes mellitus, smoking, physical inactivity, depression and low levels of education. Randomized clinical trials are needed that investigate whether interventions targeting these risk factors can reduce the risk of cognitive decline and dementia in elderly adults, but such trials are methodologically challenging. To date, most preventive interventions have been tested in small groups, have focused on a single lifestyle factor and have yielded negative or modest results. Given the multifactorial aetiology of dementia and late-onset Alzheimer disease, multidomain interventions that target several risk factors and mechanisms simultaneously might be necessary for an optimal preventive effect. In the past few years, three large multidomain trials (FINGER, MAPT and PreDIVA) have been completed. The FINGER trial showed that a multidomain lifestyle intervention can benefit cognition in elderly people with an elevated risk of dementia. The primary results from the other trials did not show a statistically significant benefit of preventive interventions, but additional analyses among participants at risk of dementia showed beneficial effects of intervention. Overall, results from these three trials suggest that targeting of preventive interventions to at-risk individuals is an effective strategy. This Review discusses the current knowledge of lifestyle-related risk factors and results from novel trials aiming to prevent cognitive decline and dementia. Global initiatives are presented, including the World Wide FINGERS network, which aims to harmonize studies on dementia prevention, generate high-quality scientific evidence and promote its implementation.
Collapse
Affiliation(s)
- Miia Kivipelto
- Public Health Promotion Unit, National Institute for Health and Welfare (THL), Helsinki, Finland. .,Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. .,Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland. .,Neuroepidemiology and Ageing Unit, School of Public Health, Imperial College London, London, UK.
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Tiia Ngandu
- Public Health Promotion Unit, National Institute for Health and Welfare (THL), Helsinki, Finland.,Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
50
|
Attier-Zmudka J, Sérot JM. A Particularly Tragic Case of Possible Alzheimer's Disease, that of Marshal Pétain. J Alzheimers Dis 2019; 71:399-404. [PMID: 31381514 DOI: 10.3233/jad-190225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
After World War I and more particularly in June 1940, the prestige of French Marshal Philippe Pétain, considered as the winning general the battle of Verdun, was very high. He became President of Council while the French army was unable to stop the German offensives. But five years later he was sentenced to death for high treason. By rereading his bibliography from a medical perspective, it is possible to find multiple suggestive events and to affirm a posteriori Pétain suffered from a neurodegenerative disorder, whose first signs appeared in the 1930s, suggestive of Alzheimer's disease, which had an impact on French politics. The modern medical knowledge of this disease casts a new light on the behavior of Petain during the last war.
Collapse
Affiliation(s)
| | - Jean-Marie Sérot
- Department of Geriatrics, CH de Saint Quentin, Saint Quentin, France
| |
Collapse
|