1
|
Goodheart AE, Gomperts SN. The association between cigarette smoking and dementia with Lewy bodies. Parkinsonism Relat Disord 2024; 128:107133. [PMID: 39276722 DOI: 10.1016/j.parkreldis.2024.107133] [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: 04/22/2024] [Revised: 08/03/2024] [Accepted: 09/02/2024] [Indexed: 09/17/2024]
Abstract
INTRODUCTION Cigarette smoking is associated with a reduced risk of Parkinson's disease (PD). As dementia with Lewy bodies (DLB) and PD share core neuropathologic features, we set out to examine the relationship between smoking and DLB. METHODS Diagnosis at baseline visit and smoking history of participants ≥50 years old in the National Alzheimer's Coordinating Center (NACC) cohort were evaluated in this cross-sectional study. Odds of diagnosis of cognitive impairment due to DLB, PD, vascular dementia (VD), or Alzheimer's disease (AD) compared to normal cognition based on smoking status and duration were determined using logistic regression. RESULTS 37,478 participants were included (mean age 72 years (SD 9), 57 % female). The odds of DLB were reduced in all smoking status groups compared to never smokers (OR (95 % CI)): ever smokers 0.850 (0.745-0.971), former smokers 0.871 (0.761-0.997), current smokers 0.640 (0.419-0.947)) and in all smoking duration groups. As expected, the odds of PD were reduced in all smoking groups and fell with longer smoking duration. The odds of VD were increased in the current smoking group and rose with greater smoking duration. The odds of AD were unchanged in current smokers, decreased in ever and former smokers, and increased with longer cumulative smoking duration. CONCLUSIONS Cigarette smoking is associated with lower odds of diagnosis of DLB at baseline visit in the NACC cohort. In the context of the well-established reduced risk of PD among smokers, this preliminary evidence of a potential protective effect of smoking on DLB warrants further study.
Collapse
Affiliation(s)
- Anna E Goodheart
- Massachusetts General Hospital, Department of Neurology, Charlestown, MA, 02129, USA; Harvard Medical School, USA.
| | - Stephen N Gomperts
- Massachusetts General Hospital, Department of Neurology, Charlestown, MA, 02129, USA; Harvard Medical School, USA.
| |
Collapse
|
2
|
Hasoon J, Hamilton CA, Schumacher J, Colloby S, Donaghy PC, Thomas AJ, Taylor JP. EEG Functional Connectivity Differences Predict Future Conversion to Dementia in Mild Cognitive Impairment With Lewy Body or Alzheimer Disease. Int J Geriatr Psychiatry 2024; 39:e6138. [PMID: 39261275 DOI: 10.1002/gps.6138] [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: 02/14/2024] [Revised: 08/04/2024] [Accepted: 08/13/2024] [Indexed: 09/13/2024]
Abstract
BACKGROUND Predicting which individuals may convert to dementia from mild cognitive impairment (MCI) remains difficult in clinical practice. Electroencephalography (EEG) is a widely available investigation but there is limited research exploring EEG connectivity differences in patients with MCI who convert to dementia. METHODS Participants with a diagnosis of MCI due to Alzheimer's disease (MCI-AD) or Lewy body disease (MCI-LB) underwent resting state EEG recording. They were followed up annually with a review of the clinical diagnosis (n = 66). Participants with a diagnosis of dementia at year 1 or year 2 follow up were classed as converters (n = 23) and those with a diagnosis of MCI at year 2 were classed as stable (n = 43). We used phase lag index (PLI) to estimate functional connectivity as well as analysing dominant frequency (DF) and relative band power. The Network-based statistic (NBS) toolbox was used to assess differences in network topology. RESULTS The converting group had reduced DF (U = 285.5, p = 0.005) and increased relative pre-alpha power (U = 702, p = 0.005) consistent with previous findings. PLI showed reduced average beta band synchrony in the converting group (U = 311, p = 0.014) as well as significant differences in alpha and beta network topology. Logistic regression models using regional beta PLI values revealed that right central to right lateral (Sens = 56.5%, Spec = 86.0%, -2LL = 72.48, p = 0.017) and left central to right lateral (Sens = 47.8%, Spec = 81.4%, -2LL = 71.37, p = 0.012) had the best classification accuracy and fit when adjusted for age and MMSE score. CONCLUSION Patients with MCI who convert to dementia have significant differences in EEG frequency, average connectivity and network topology prior to the onset of dementia. The MCI group is clinically heterogeneous and have underlying physiological differences that may be driving the progression of cognitive symptoms. EEG connectivity could be useful to predict which patients with MCI-AD and MCI-LB convert to dementia, regardless of the neurodegenerative aetiology.
Collapse
Affiliation(s)
- Jahfer Hasoon
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Julia Schumacher
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock-Greifswald, Rostock, Germany
- Department of Neurology, University Medical Center Rostock, Rostock, Germany
| | - Sean Colloby
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Paul C Donaghy
- 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
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| |
Collapse
|
3
|
Bouvier-Müller A, Fourmy D, Fenyi A, Bousset L, Melki R, Ducongé F. Aptamer binding footprints discriminate α-synuclein fibrillar polymorphs from different synucleinopathies. Nucleic Acids Res 2024; 52:8072-8085. [PMID: 38917326 PMCID: PMC11317169 DOI: 10.1093/nar/gkae544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 05/02/2024] [Accepted: 06/14/2024] [Indexed: 06/27/2024] Open
Abstract
Synucleinopathies, including dementia with Lewy bodies (DLB), Parkinson's disease (PD), and multiple system atrophy (MSA), are characterized by the presence of α-synuclein (α-syn) aggregates in the central nervous system. Recent evidence suggests that the heterogeneity of synucleinopathies may be partly explained by the fact that patients may have different α-syn fibrillar polymorphs with structural differences. In this study, we identify nuclease resistant 2'fluoro-pyrimidine RNA aptamers that can differentially bind to structurally distinct α-syn fibrillar polymorphs. Moreover, we introduce a method, AptaFOOT-Seq, designed to rapidly assess the affinity of a mixture of these aptamers for different α-SYN fibrillar polymorphs using next-generation sequencing. Our findings reveal that the binding behavior of aptamers can be very different when they are tested separately or in the presence of other aptamers. In this case, competition and cooperation can occur, providing a higher level of information, which can be exploited to obtain specific 'footprints' for different α-Syn fibrillar polymorphs. Notably, these footprints can distinguish polymorphs obtained from patients with PD, DLB or MSA. This result suggests that aptaFOOT-Seq could be used for the detection of misfolded or abnormal protein conformations to improve the diagnosis of synucleinopathies.
Collapse
Affiliation(s)
- Alix Bouvier-Müller
- CEA, DRF, Institut of biology JACOB, Molecular Imaging Research Center (MIRCen), Fontenay aux roses 92335, France
- CNRS UMR 9199, Laboratoire des Maladies Neurodégénératives, Fontenay aux roses 92335, France
- Université Paris-Saclay, Fontenay aux roses 92335, France
| | - Deborah Fourmy
- CEA, DRF, Institut of biology JACOB, Molecular Imaging Research Center (MIRCen), Fontenay aux roses 92335, France
- CNRS UMR 9199, Laboratoire des Maladies Neurodégénératives, Fontenay aux roses 92335, France
- Université Paris-Saclay, Fontenay aux roses 92335, France
| | - Alexis Fenyi
- CEA, DRF, Institut of biology JACOB, Molecular Imaging Research Center (MIRCen), Fontenay aux roses 92335, France
- CNRS UMR 9199, Laboratoire des Maladies Neurodégénératives, Fontenay aux roses 92335, France
- Université Paris-Saclay, Fontenay aux roses 92335, France
| | - Luc Bousset
- CEA, DRF, Institut of biology JACOB, Molecular Imaging Research Center (MIRCen), Fontenay aux roses 92335, France
- CNRS UMR 9199, Laboratoire des Maladies Neurodégénératives, Fontenay aux roses 92335, France
- Université Paris-Saclay, Fontenay aux roses 92335, France
| | - Ronald Melki
- CEA, DRF, Institut of biology JACOB, Molecular Imaging Research Center (MIRCen), Fontenay aux roses 92335, France
- CNRS UMR 9199, Laboratoire des Maladies Neurodégénératives, Fontenay aux roses 92335, France
- Université Paris-Saclay, Fontenay aux roses 92335, France
| | - Frédéric Ducongé
- CEA, DRF, Institut of biology JACOB, Molecular Imaging Research Center (MIRCen), Fontenay aux roses 92335, France
- CNRS UMR 9199, Laboratoire des Maladies Neurodégénératives, Fontenay aux roses 92335, France
- Université Paris-Saclay, Fontenay aux roses 92335, France
| |
Collapse
|
4
|
Tanner CM, Ostrem JL. Parkinson's Disease. N Engl J Med 2024; 391:442-452. [PMID: 39083773 DOI: 10.1056/nejmra2401857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/02/2024]
Affiliation(s)
- Caroline M Tanner
- From the Movement Disorders and Neuromodulation Center, Department of Neurology, Weill Institute for Neuroscience, University of California, San Francisco, San Francisco
| | - Jill L Ostrem
- From the Movement Disorders and Neuromodulation Center, Department of Neurology, Weill Institute for Neuroscience, University of California, San Francisco, San Francisco
| |
Collapse
|
5
|
Alsemari A, Boscarino JJ. Neuropsychological and neuroanatomical underpinnings of the face pareidolia errors on the noise pareidolia test in patients with mild cognitive impairment and dementia due to Lewy bodies. J Clin Exp Neuropsychol 2024; 46:588-598. [PMID: 38949538 DOI: 10.1080/13803395.2024.2372876] [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: 12/07/2023] [Accepted: 06/20/2024] [Indexed: 07/02/2024]
Abstract
OBJECTIVE Prior research on the Noise Pareidolia Test (NPT) has demonstrated its clinical utility in detecting patients with mild cognitive impairment and dementia due to Lewy Body Disease (LBD). However, few studies to date have investigated the neuropsychological factors underlying pareidolia errors on the NPT across the clinical spectrum of LBD. Furthermore, to our knowledge, no research has examined the relationship between cortical thickness using MRI data and NPT subscores. As such, this study sought to explore the neuropsychological and neuroanatomical factors influencing performance on the NPT utilizing the National Alzheimer's Coordinating Center Lewy Body Dementia Module. METHODS Our sample included participants with normal cognition (NC; n = 56), LBD with mild cognitive impairment (LBD-MCI; n = 97), and LBD with dementia (LBD-Dementia; n = 94). Archival data from NACC were retrospectively analyzed for group differences in neuropsychological test scores and cognitive and psychiatric predictors of NPT scores. Clinicoradiological correlates between NPT subscores and a small subsample of the above LBD participants were also examined. RESULTS Analyses revealed significant differences in NPT scores among groups. Regression analysis demonstrated that dementia severity, attention, and visuospatial processing contributed approximately 24% of NPT performance in LBD groups. Clinicoradiological analysis suggests a potential contribution of the right fusiform gyrus, but not the inferior occipital gyrus, to NPT pareidolia error scores. CONCLUSIONS Our findings highlight the interplay of attention and visuoperceptual functions in complex pareidolia in LBD. Further investigation is needed to refine the utility of NPT scores in clinical settings, including identifying patients at risk for visual illusions and hallucinations.
Collapse
Affiliation(s)
- Ahmad Alsemari
- Department of Neurology, Cleveland Clinic, Cleveland, Ohio OH, USA
| | - Joseph J Boscarino
- Department of Neurosurgery and Brain Repair, University of South Florida Morsani College of Medicine, Tampa, Florida FL, USA
| |
Collapse
|
6
|
Martyr A, Gamble LD, Hunt A, Quinn C, Morris RG, Henderson C, Allan L, Opdebeeck C, Charlwood C, Jones RW, Pentecost C, Kopelman MD, Thom JM, Matthews FE, Clare L. Differences in trajectories of quality of life according to type of dementia: 6-year longitudinal findings from the IDEAL programme. BMC Med 2024; 22:265. [PMID: 38915081 PMCID: PMC11197262 DOI: 10.1186/s12916-024-03492-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 06/17/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND People with different types of dementia may have distinct symptoms and experiences that affect their quality of life. This study investigated whether quality of life varied across types of dementia and over time. METHODS The participants were 1555 people with mild-to-moderate dementia and 1327 carers from the IDEAL longitudinal cohort study, recruited from clinical services. As many as possible were followed for up to 6 years. Diagnoses included were Alzheimer's disease, vascular dementia, mixed Alzheimer's and vascular dementia, Parkinson's disease dementia, dementia with Lewy bodies, and frontotemporal dementia. Self- and informant-rated versions of the Quality of Life in Alzheimer's Disease scale were used. A joint model, incorporating a mixed effects model with random effects and a survival model to account for dropout, was used to examine whether quality of life varied by dementia type at the time of diagnosis and how trajectories changed over time. RESULTS The strongest associations between dementia type and quality of life were seen around the time of diagnosis. For both self-ratings and informant ratings, people with Parkinson's disease dementia or dementia with Lewy bodies had lower quality of life scores. Over time there was little change in self-rated scores across all dementia types (- 0.15 points per year). Informant-rated scores declined over time (- 1.63 points per year), with the greatest decline seen in ratings by informants for people with dementia with Lewy bodies (- 2.18 points per year). CONCLUSIONS Self-rated quality of life scores were relatively stable over time whilst informant ratings showed a steeper decline. People with Parkinson's disease dementia or dementia with Lewy bodies report particularly low levels of quality of life, indicating the importance of greater attention to the needs of these groups.
Collapse
Affiliation(s)
- Anthony Martyr
- Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School, Exeter, UK
| | - Laura D Gamble
- Population Health Sciences Institute, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle Upon Tyne, UK.
| | - Anna Hunt
- Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School, Exeter, UK
| | - Catherine Quinn
- Centre for Applied Dementia Studies, Bradford University, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Robin G Morris
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Catherine Henderson
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
| | - Louise Allan
- Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School, Exeter, UK
- NIHR Applied Research Collaboration South-West Peninsula, Exeter, UK
| | - Carol Opdebeeck
- Department of Psychology, Manchester Metropolitan University, Manchester, UK
| | - Catherine Charlwood
- Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School, Exeter, UK
- NIHR Applied Research Collaboration South-West Peninsula, Exeter, UK
| | - Roy W Jones
- Research Institute for the Care of Older People (RICE), Bath, UK
| | - Claire Pentecost
- Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School, Exeter, UK
| | - Michael D Kopelman
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jeanette M Thom
- School of Health Sciences, The University of Sydney, Sydney, Australia
| | - Fiona E Matthews
- Population Health Sciences Institute, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle Upon Tyne, UK
- Institute for Clinical and Applied Health Research, Hull York Medical School, University of Hull, Hull, UK
| | - Linda Clare
- Centre for Research in Ageing and Cognitive Health, University of Exeter Medical School, Exeter, UK
- NIHR Applied Research Collaboration South-West Peninsula, Exeter, UK
| |
Collapse
|
7
|
O’Shea DM, Arkhipenko A, Galasko D, Goldman JG, Sheikh ZH, Petrides G, Toledo JB, Galvin JE. Practical use of DAT SPECT imaging in diagnosing dementia with Lewy bodies: a US perspective of current guidelines and future directions. Front Neurol 2024; 15:1395413. [PMID: 38711561 PMCID: PMC11073567 DOI: 10.3389/fneur.2024.1395413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 03/25/2024] [Indexed: 05/08/2024] Open
Abstract
Background Diagnosing Dementia with Lewy Bodies (DLB) remains a challenge in clinical practice. The use of 123I-ioflupane (DaTscan™) SPECT imaging, which detects reduced dopamine transporter (DAT) uptake-a key biomarker in DLB diagnosis-could improve diagnostic accuracy. However, DAT imaging is underutilized despite its potential, contributing to delays and suboptimal patient management. Methods This review evaluates DLB diagnostic practices and challenges faced within the U.S. by synthesizing information from current literature, consensus guidelines, expert opinions, and recent updates on DaTscan FDA filings. It contrasts DAT SPECT with alternative biomarkers, provides recommendations for when DAT SPECT imaging may be indicated and discusses the potential of emerging biomarkers in enhancing diagnostic approaches. Results The radiopharmaceutical 123I-ioflupane for SPECT imaging was initially approved in Europe (2000) and later in the US (2011) for Parkinsonism/Essential Tremor. Its application was extended in 2022 to include the diagnosis of DLB. DaTscan's diagnostic efficacy for DLB, with its sensitivity, specificity, and predictive values, confirms its clinical utility. However, US implementation faces challenges such as insurance barriers, costs, access issues, and regional availability disparities. Conclusion 123I-ioflupane SPECT Imaging is indicated for DLB diagnosis and differential diagnosis of Alzheimer's Disease, particularly in uncertain cases. Addressing diagnostic obstacles and enhancing physician-patient education could improve and expedite DLB diagnosis. Collaborative efforts among neurologists, geriatric psychiatrists, psychologists, and memory clinic staff are key to increasing diagnostic accuracy and care in DLB management.
Collapse
Affiliation(s)
- Deirdre M. O’Shea
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami, Miller School of Medicine, Coral Gables, FL, United States
| | | | - Douglas Galasko
- Department of Neurosciences, UC San Diego, San Diego, CA, United States
| | - Jennifer G. Goldman
- JPG Enterprises LLC, Chicago, IL, United States
- Barrow Neurological Institute, Phoenix, AZ, United States
| | | | - George Petrides
- Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Jon B. Toledo
- Nantz National Alzheimer Center, Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States
| | - James E. Galvin
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami, Miller School of Medicine, Coral Gables, FL, United States
| |
Collapse
|
8
|
McWilliam O, Gramkow MH, Blaabjerg M, Clemmensen FK, Hasselbalch SG, Frederiksen KS. Differentiating anti-IgLON5 disease and Lewy body dementia: a systematic review. J Neurol 2024; 271:1707-1716. [PMID: 38195895 DOI: 10.1007/s00415-023-12145-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 01/11/2024]
Abstract
BACKGROUND Anti-IgLON5 disease is a rare but potentially reversible cause of cognitive impairment, sleep disturbances, dysautonomia, and movement disorders. It is an autoimmune encephalitis which, due to its insidious onset, could mimic neurodegenerative disorders, and multiple symptoms overlap with those seen in dementia with Lewy bodies (DLB). We hypothesized that the symptomatology and findings in patients with anti-IgLON5 disease overlapped with that of DLB. OBJECTIVES To assess the commonality of features in anti-IgLON5 disease and DLB and identify potential red flags for anti-IgLON5 disease in patients undergoing diagnostic evaluation for DLB. METHODS We searched in MEDLINE, Web of Science, and Embase from inception on December the 8th, 2022 with the search term "IgLON5". We performed a systematic review of case reports and case series of anti-IgLON5 disease, and two reviewers independently extracted data on symptoms and findings. Frequencies of symptoms were compared with consensus criteria for DLB. RESULTS We included 57 studies with 127 individual case reports of anti-IgLON5 disease (mean age 63 years at diagnosis, median symptom duration 2 years). Cognitive dysfunction was reported in 45% of cases, REM-sleep behavioral disorder in 15%, and 14% had parkinsonism. Respiratory insufficiency was reported in 37%, and bulbar symptoms in 67%. CONCLUSIONS We found a significant overlap between anti-IgLON5 disease and DLB. We propose that anti-IgLON5 disease should be considered in young patients with DLB with chorea, gaze palsy, early dysphagia, or prominent respiratory symptoms. Our study contributes to the emerging knowledge on symptoms and biomarkers in anti-IgLON5 disease.
Collapse
Affiliation(s)
- Oskar McWilliam
- Danish Dementia Research Centre, Deptartment of Neurology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Mathias H Gramkow
- Danish Dementia Research Centre, Deptartment of Neurology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Morten Blaabjerg
- Department of Neurology, Odense University Hospital, Odense, Denmark
| | - Frederikke Kragh Clemmensen
- Danish Dementia Research Centre, Deptartment of Neurology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Steen G Hasselbalch
- Danish Dementia Research Centre, Deptartment of Neurology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristian Steen Frederiksen
- Danish Dementia Research Centre, Deptartment of Neurology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| |
Collapse
|
9
|
Dodel R, Berg D, Duning T, Kalbe E, Meyer PT, Ramirez A, Storch A, Aarsland D, Jessen F. [Dementia with Lewy bodies: old and new knowledge - Part 1: clinical aspects and diagnostics]. DER NERVENARZT 2024; 95:353-361. [PMID: 38092983 PMCID: PMC11014876 DOI: 10.1007/s00115-023-01576-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/26/2023] [Indexed: 04/13/2024]
Abstract
BACKGROUND Dementia with Lewy bodies (DLB) is the second most common neurodegenerative dementia after Alzheimer's disease. Patients with DLB often have a poor prognosis, with worse outcomes than patients with Alzheimer's disease in terms of important parameters, such as quality of life, caregiver burden, health-related costs, frequency of hospital and nursing home admissions, shorter time to severe dementia, and lower survival. The DLB is frequently misdiagnosed and often undertreated. Therefore, it is critical to diagnose DLB as early as possible to ensure optimal care and treatment. OBJECTIVE The aim of this review article is to summarize the main recent findings on diagnostic tools, epidemiology and genetics of DLB. RESULTS Precise clinical diagnostic criteria exist for DLB that enable an etiologic assignment. Imaging techniques are used as standard in DLB, especially also to exclude non-neurodegenerative causes. In particular, procedures in nuclear medicine have a high diagnostic value. DISCUSSION The diagnosis is primarily based on clinical symptoms, although the development of in vivo neuroimaging and biomarkers is changing the scope of clinical diagnosis as well as research into this devastating disease.
Collapse
Affiliation(s)
- Richard Dodel
- Lehrstuhl für Geriatrie, Universität Duisburg-Essen, Virchowstraße 171, 45147, Essen, Deutschland.
| | - Daniela Berg
- Neurologische Klinik, Universität Kiel, Kiel, Deutschland
| | - Thomas Duning
- Neurologische Klinik, Universität Münster, Münster, Deutschland
| | - Elke Kalbe
- Medizinische Psychologie, Neuropsychologie und Gender Studies & Centrum für Neuropsychologische Diagnostik und Intervention (CeNDI), Universität Köln, Köln, Deutschland
| | - Philipp T Meyer
- Klinik für Nuklearmedizin, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland
| | - Alfredo Ramirez
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität Köln, Köln, Deutschland
| | - Alexander Storch
- Klinik für Neurologie, Universität Rostock, Rostock, Deutschland
| | - Dag Aarsland
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norwegen
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, Großbritannien
| | - Frank Jessen
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universität Köln, Köln, Deutschland
| |
Collapse
|
10
|
Zivari-Ghader T, Valioglu F, Eftekhari A, Aliyeva I, Beylerli O, Davran S, Cho WC, Beilerli A, Khalilov R, Javadov S. Recent progresses in natural based therapeutic materials for Alzheimer's disease. Heliyon 2024; 10:e26351. [PMID: 38434059 PMCID: PMC10906329 DOI: 10.1016/j.heliyon.2024.e26351] [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: 08/06/2023] [Revised: 02/10/2024] [Accepted: 02/12/2024] [Indexed: 03/05/2024] Open
Abstract
Alzheimer's disease is a neurological disorder that causes increased memory loss, mood swings, behavioral disorders, and disruptions in daily activities. Polymer scaffolds for the brain have been grown under laboratory, physiological, and pathological circumstances because of the limitations of conventional treatments for patients with central nervous system diseases. The blood-brain barrier prevents medications from entering the brain, challenging AD treatment. Numerous biomaterials such as biomolecules, polymers, inorganic metals, and metal oxide nanoparticles have been used to transport therapeutic medicines into the nervous system. Incorporating biocompatible materials that support neurogenesis through a combination of topographical, pharmacological, and mechanical stimuli has also shown promise for the transfer of cells to replenish dopaminergic neurons. Components made of naturally occurring biodegradable polymers are appropriate for the regeneration of nerve tissue. The ability of natural-based materials (biomaterials) has been shown to promote endogenous cell development after implantation. Also, strategic functionalization of polymeric nanocarriers could be employed for treating AD. In particular, nanoparticles could resolve Aβ aggregation and thus help cure Alzheimer's disease. Drug moieties can be effectively directed to the brain by utilizing nano-based systems and diverse colloidal carriers, including hydrogels and biodegradable scaffolds. Notably, early investigations employing neural stem cells have yielded promising results, further emphasizing the potential advancements in this field. Few studies have fully leveraged the combination of cells with cutting-edge biomaterials. This study provides a comprehensive overview of prior research, highlighting the pivotal role of biomaterials as sophisticated drug carriers. It delves into various intelligent drug delivery systems, encompassing pH and thermo-triggered mechanisms, polymeric and lipid carriers, inorganic nanoparticles, and other vectors. The discussion synthesizes existing knowledge and underscores the transformative impact of these biomaterials in devising innovative strategies, augmenting current therapeutic methodologies, and shaping new paradigms in the realm of Alzheimer's disease treatment.
Collapse
Affiliation(s)
- Tayebeh Zivari-Ghader
- Department of Medicinal Chemistry, Faculty of Pharmacy, Tabriz University of Medical Science, Tabriz, Iran
| | - Ferzane Valioglu
- Technology Development Zones Management CO, Sakarya University, Sakarya, Turkey
| | - Aziz Eftekhari
- Research Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz 51665118, Iran
- Department of Biochemistry, Faculty of Science, Ege University, İzmir, Turkey
| | - Immi Aliyeva
- Department of Biophysics and Biochemistry, Baku State University, Baku, Azerbaijan
- Department of Environmental Engineering, Azerbaijan Technological University, Ganja, Azerbaijan
| | - Ozal Beylerli
- Central Research Laboratory, Bashkir State Medical University, Republic of Bashkortostan, 3 Lenin Street, Ufa, 450008, Russia
| | - Soodabeh Davran
- Department of Medicinal Chemistry, Faculty of Pharmacy, Tabriz University of Medical Science, Tabriz, Iran
- Department of Life Sciences, Khazar University, Baku, Azerbaijan
| | - William C. Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong SAR, China
| | - Aferin Beilerli
- Department of Obstetrics and Gynecology, Tyumen State Medical University, 54 Odesskaya Street, 625023, Tyumen, Russia
| | - Rovshan Khalilov
- Department of Biophysics and Biochemistry, Baku State University, Baku, Azerbaijan
| | - Sabzali Javadov
- Department of Physiology, University of Puerto Rico School of Medicine, San Juan, PR, 00936-5067, USA
| |
Collapse
|
11
|
Begde A, Wilcockson T, Brayne C, Hogervorst E. Visual processing speed and its association with future dementia development in a population-based prospective cohort: EPIC-Norfolk. Sci Rep 2024; 14:5016. [PMID: 38424122 PMCID: PMC10904745 DOI: 10.1038/s41598-024-55637-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 02/23/2024] [Indexed: 03/02/2024] Open
Abstract
Visual processing deficits have frequently been reported when studied in individuals with dementia, which suggests their potential utility in supporting dementia screening. The study uses EPIC-Norfolk Prospective Population Cohort Study data (n = 8623) to investigate the role of visual processing speed assessed by the Visual Sensitivity Test (VST) in identifying the risk of future dementia using Cox regression analyses. Individuals with lower scores on the simple and complex VST had a higher probability of a future dementia diagnosis HR1.39 (95% CI 1.12, 1.67, P < 0.01) and HR 1.56 (95% CI 1.27, 1.90, P < 0.01), respectively. Although other more commonly used cognitive dementia screening tests were better predictors of future dementia risk (HR 3.45 for HVLT and HR 2.66, for SF-EMSE), the complex VST showed greater sensitivity to variables frequently associated with dementia risk. Reduced complex visual processing speed is significantly associated with a high likelihood of a future dementia diagnosis and risk/protective factors in this cohort. Combining visual processing tests with other neuropsychological tests could improve the identification of future dementia risk.
Collapse
Affiliation(s)
- Ahmet Begde
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, LE11 3TU, UK.
| | - Thomas Wilcockson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, LE11 3TU, UK
| | - Carol Brayne
- Department of Public Health, University of Cambridge, Cambridge, Cambridgeshire, CB2 1PZ, UK
| | - Eef Hogervorst
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, LE11 3TU, UK
| |
Collapse
|
12
|
Webber TA, Lorkiewicz SA, Kiselica AM, Woods SP. Ecological validity of cognitive fluctuations in dementia with Lewy bodies. J Int Neuropsychol Soc 2024; 30:35-46. [PMID: 37057867 PMCID: PMC10576013 DOI: 10.1017/s1355617723000255] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
OBJECTIVES Cognitive fluctuations are a core clinical feature of dementia with Lewy bodies (DLB), but their contribution to the everyday functioning difficulties evident DLB are not well understood. The current study evaluated whether intraindividual variability across a battery of neurocognitive tests (intraindividual variability-dispersion) and daily cognitive fluctuations as measured by informant report are associated with worse daily functioning in DLB. METHODS The study sample included 97 participants with consensus-defined DLB from the National Alzheimer's Coordinating Center (NACC). Intraindividual variability-dispersion was measured using the coefficient of variation, which divides the standard deviation of an individual's performance scores across 12 normed neurocognitive indices from the NACC neuropsychological battery by that individual's performance mean. Informants reported on daily cognitive fluctuations using the Mayo Fluctuations Scale (MFS) and on daily functioning using the functional activities questionnaire (FAQ). RESULTS Logistic regression identified a large univariate association of intraindividual variability-dispersion and presence of daily cognitive fluctuations on the MFS (Odds Ratio = 73.27, 95% Confidence Interval = 1.38, 3,895.05). Multiple linear regression demonstrated that higher intraindividual variability-dispersion and presence of daily cognitive fluctuations as assessed by the MFS were significantly and independently related to worse daily functioning (FAQ scores). CONCLUSIONS Among those with DLB, informant-rated daily cognitive fluctuations and cognitive fluctuations measured in the clinic (as indexed by intraindividual variability-dispersion across a battery of tests) were independently associated with poorer everyday functioning. These data demonstrate ecological validity in measures of cognitive fluctuations in DLB.
Collapse
Affiliation(s)
- Troy A. Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA
- Department of Psychiatry/Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Sara A. Lorkiewicz
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | | | - Steven P. Woods
- Department of Psychology, University of Houston, Houston, TX, USA
| |
Collapse
|
13
|
Tolea MI, Ezzeddine R, Camacho S, Galvin JE. Emerging drugs for dementia with Lewy Bodies: a review of Phase II & III trials. Expert Opin Emerg Drugs 2023; 28:167-180. [PMID: 37531299 DOI: 10.1080/14728214.2023.2244425] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/28/2023] [Accepted: 08/01/2023] [Indexed: 08/04/2023]
Abstract
INTRODUCTION Despite faster cognitive decline and greater negative impact on patients and family caregivers, drug development efforts in Dementia with Lewy Bodies (DLB) fall behind those for Alzheimer's Disease (AD). Current off-label drug DLB treatment options are limited to symptomatic agents developed to address cognitive deficits in AD, motor deficits in Parkinson's Disease, or behavioral symptoms in psychiatric disease. Aided by recent improvements in DLB diagnosis, a new focus on the development of disease-modifying agents (DMA) is emerging. AREAS COVERED Driven by evidence supporting different pathological mechanisms in DLB and PDD, this review assesses the evidence on symptomatic drug treatments and describes current efforts in DMA development in DLB. Specifically, our goals were to: (1) review evidence supporting the use of symptomatic drug treatments in DLB; (2) review the current DMA pipeline in DLB with a focus on Phase II and III clinical trials; and (3) identify potential issues with the development of DMA in DLB. Included in this review were completed and ongoing drug clinical trials in DLB registered on ClinicalTrials.gov (no time limits set for the search) or disseminated at the 2023 international conference on Clinical Trials in AD. Drug clinical trials registered in non-US clinical trial registries were not included. EXPERT OPINION Adoption of current symptomatic drug treatments used off-label in DLB relied on efficacy of benefits in other disorders rather than evidence from randomized controlled clinical trials. Symptoms remain difficult to manage. Several DMA drugs are currently being evaluated as either repurposing candidates or novel small molecules. Continued improvement in methodological aspects including development of DLB-specific outcome measures and biomarkers is needed to move the field of DMA drug development forward.
Collapse
Affiliation(s)
- Magdalena I Tolea
- Comprehensive Center for Brain Health, Lewy Body Dementia Research Center of Excellence, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Reem Ezzeddine
- Comprehensive Center for Brain Health, Lewy Body Dementia Research Center of Excellence, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Simone Camacho
- Comprehensive Center for Brain Health, Lewy Body Dementia Research Center of Excellence, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - James E Galvin
- Comprehensive Center for Brain Health, Lewy Body Dementia Research Center of Excellence, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| |
Collapse
|
14
|
Harvey J, Pishva E, Chouliaras L, Lunnon K. Elucidating distinct molecular signatures of Lewy body dementias. Neurobiol Dis 2023; 188:106337. [PMID: 37918758 DOI: 10.1016/j.nbd.2023.106337] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 10/15/2023] [Accepted: 10/27/2023] [Indexed: 11/04/2023] Open
Abstract
Dementia with Lewy bodies and Parkinson's disease dementia are common neurodegenerative diseases that share similar neuropathological profiles and spectra of clinical symptoms but are primarily differentiated by the order in which symptoms manifest. The question of whether a distinct molecular pathological profile could distinguish these disorders is yet to be answered. However, in recent years, studies have begun to investigate genomic, epigenomic, transcriptomic and proteomic differences that may differentiate these disorders, providing novel insights in to disease etiology. In this review, we present an overview of the clinical and pathological hallmarks of Lewy body dementias before summarizing relevant research into genetic, epigenetic, transcriptional and protein signatures in these diseases, with a particular interest in those resolving "omic" level changes. We conclude by suggesting future research directions to address current gaps and questions present within the field.
Collapse
Affiliation(s)
- Joshua Harvey
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Ehsan Pishva
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, the Netherlands
| | - Leonidas Chouliaras
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK; Specialist Dementia and Frailty Service, Essex Partnership University NHS Foundation Trust, Epping, UK
| | - Katie Lunnon
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
| |
Collapse
|
15
|
Jellinger KA. Depression in dementia with Lewy bodies: a critical update. J Neural Transm (Vienna) 2023; 130:1207-1218. [PMID: 37418037 DOI: 10.1007/s00702-023-02669-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 06/28/2023] [Indexed: 07/08/2023]
Abstract
Depression with an estimated prevalence of 35% is a frequent manifestation of dementia with Lewy bodies (DLB), having negative effects on cognitive performance and life expectancy, yet the underlying neurobiology is poorly understood and most likely heterogeneous. Depressive symptoms in DLB can occur during the clinical course and, together with apathy, is a common prodromal neuropsychiatric symptom of this neurocognitive disorder in the group of Lewy body synucleinopathies. There are no essential differences in the frequency of depression in DLB and Parkinson disease-dementia (PDD), while its severity is up to twice as high as in Alzheimer disease (AD). Depression in DLB that is frequently underdiagnosed and undertreated, has been related to a variety of pathogenic mechanisms associated with the basic neurodegenerative process, in particular dysfunctions of neurotransmitter systems (decreased monoaminergic/serotonergic, noradrenergic and dopaminergic metabolism), α-synuclein pathology, synaptic zinc dysregulation, proteasome inhibition, gray matter volume loss in prefrontal and temporal areas as well as dysfunction of neuronal circuits with decreased functional connectivity of specific brain networks. Pharmacotherapy should avoid tricyclic antidepressants (anticholinergic adverse effects), second-generation antidepressants being a better choice, while modified electroconvulsive therapy, transcranial magnetic stimulation therapy and deep brain stimulation may be effective for pharmacotherapy-resistant cases. Since compared to depression in other dementias like Alzheimer disease and other parkinsonian syndromes, our knowledge of its molecular basis is limited, and further studies to elucidate the heterogeneous pathogenesis of depression in DLB are warranted.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
| |
Collapse
|
16
|
Talyansky S, Le Guen Y, Kasireddy N, Belloy ME, Greicius MD. APOE-ε4 and BIN1 increase risk of Alzheimer's disease pathology but not specifically of Lewy body pathology. Acta Neuropathol Commun 2023; 11:149. [PMID: 37700353 PMCID: PMC10496176 DOI: 10.1186/s40478-023-01626-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/22/2023] [Indexed: 09/14/2023] Open
Abstract
Lewy body (LB) pathology commonly occurs in individuals with Alzheimer's disease (AD) pathology. However, it remains unclear which genetic risk factors underlie AD pathology, LB pathology, or AD-LB co-pathology. Notably, whether APOE-ε4 affects risk of LB pathology independently from AD pathology is controversial. We adapted criteria from the literature to classify 4,985 subjects from the National Alzheimer's Coordinating Center (NACC) and the Rush University Medical Center as AD-LB co-pathology (AD+LB+), sole AD pathology (AD+LB-), sole LB pathology (AD-LB+), or no pathology (AD-LB-). We performed a meta-analysis of a genome-wide association study (GWAS) per subpopulation (NACC/Rush) for each disease phenotype compared to the control group (AD-LB-), and compared the AD+LB+ to AD+LB- groups. APOE-ε4 was significantly associated with risk of AD+LB- and AD+LB+ compared to AD-LB-. However, APOE-ε4 was not associated with risk of AD-LB+ compared to AD-LB- or risk of AD+LB+ compared to AD+LB-. Associations at the BIN1 locus exhibited qualitatively similar results. These results suggest that APOE-ε4 is a risk factor for AD pathology, but not for LB pathology when decoupled from AD pathology. The same holds for BIN1 risk variants. These findings, in the largest AD-LB neuropathology GWAS to date, distinguish the genetic risk factors for sole and dual AD-LB pathology phenotypes. Our GWAS meta-analysis summary statistics, derived from phenotypes based on postmortem pathologic evaluation, may provide more accurate disease-specific polygenic risk scores compared to GWAS based on clinical diagnoses, which are likely confounded by undetected dual pathology and clinical misdiagnoses of dementia type.
Collapse
Affiliation(s)
- Seth Talyansky
- Department of Neurology and Neurological Sciences, Stanford University, 290 Jane Stanford Way, E265, Stanford, CA, 94305-5090, USA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, 290 Jane Stanford Way, E265, Stanford, CA, 94305-5090, USA.
- Institut du Cerveau, Paris Brain Institute - ICM, Paris, France.
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University, 290 Jane Stanford Way, E265, Stanford, CA, 94305-5090, USA
| | - Michael E Belloy
- Department of Neurology and Neurological Sciences, Stanford University, 290 Jane Stanford Way, E265, Stanford, CA, 94305-5090, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University, 290 Jane Stanford Way, E265, Stanford, CA, 94305-5090, USA
| |
Collapse
|
17
|
Vogel A, Mellergaard C, Frederiksen KS. Different language profiles on neuropsychological tests in dementia with Lewy bodies and Alzheimer's disease. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-8. [PMID: 37595289 DOI: 10.1080/23279095.2023.2247112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/20/2023]
Abstract
Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) may lead to different cognitive profiles. The performance on single language tests have been investigated in these patient-groups, but few studies have compared DLB and AD patients' language performances on different types of tests. The aim was to compare performances for patients with DLB, AD and healthy controls on different aspects of language function. Boston Naming Test, Naming of famous faces and verbal fluency (both semantic and lexical) were investigated in 90 DLB patients, 77 matched AD patients (MMSE score ≥ 21), and in a control group (N = 61). The patients had significantly lower scores on all tests compared to controls. The AD patients scored significantly lower than DLB patients on naming measures whereas the lexical fluency score was significantly lower in DLB. No significant differences were found for the semantic fluency. The frequency of impairment on the Boston Naming Test was higher in AD as compared to DLB, whereas the frequency of impairment on the lexical fluency test was significantly higher in DLB. In conclusion, DLB may lead to a different language profile than AD, and performance on language-based tests may help to differentiate patients with AD and DLB.
Collapse
Affiliation(s)
- Asmus Vogel
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Clara Mellergaard
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Kristian Steen Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| |
Collapse
|
18
|
Talyansky S, Guen YL, Kasireddy N, Belloy ME, Greicius MD. APOE - ε 4 and BIN1 increase risk of Alzheimer's disease pathology but not specifically of Lewy body pathology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.21.23288938. [PMID: 37503074 PMCID: PMC10371184 DOI: 10.1101/2023.04.21.23288938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Lewy body (LB) pathology commonly occurs in individuals with Alzheimer's disease (AD) pathology. However, it remains unclear which genetic risk factors underlie AD pathology, LB pathology, or AD-LB co-pathology. Notably, whether APOE - ε 4 affects risk of LB pathology independently from AD pathology is controversial. We adapted criteria from the literature to classify 4,985 subjects from the National Alzheimer's Coordinating Center (NACC) and the Rush University Medical Center as AD-LB co-pathology (AD + LB + ), sole AD pathology (AD + LB - ), sole LB pathology (AD - LB + ), or no pathology (AD - LB - ). We performed a meta-analysis of a genome-wide association study (GWAS) per subpopulation (NACC/Rush) for each disease phenotype compared to the control group (AD - LB - ), and compared the AD + LB + to AD + LB - groups. APOE - ε 4 was significantly associated with risk of AD + LB - and AD + LB + compared to AD - LB - . However, APOE - ε 4 was not associated with risk of AD - LB + compared to AD - LB - or risk of AD + LB + compared to AD + LB - . Associations at the BIN1 locus exhibited qualitatively similar results. These results suggest that APOE - ε 4 is a risk factor for AD pathology, but not for LB pathology when decoupled from AD pathology. The same holds for BIN1 risk variants. These findings, in the largest AD-LB neuropathology GWAS to date, distinguish the genetic risk factors for sole and dual AD-LB pathology phenotypes. Our GWAS meta-analysis summary statistics, derived from phenotypes based on postmortem pathologic evaluation, may provide more accurate disease-specific polygenic risk scores compared to GWAS based on clinical diagnoses, which are likely confounded by undetected dual pathology and clinical misdiagnoses of dementia type.
Collapse
Affiliation(s)
- Seth Talyansky
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Michael E. Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Michael D. Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| |
Collapse
|
19
|
Feng LR, Vogel A, Mellergaard C, Waldemar G, Hasselbalch SG, Law I, Henriksen OM, Frederiksen KS. Clinical validation of the cingulate island sign visual rating scale in dementia with Lewy bodies. J Neurol Sci 2023; 451:120719. [PMID: 37421880 DOI: 10.1016/j.jns.2023.120719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 05/19/2023] [Accepted: 06/17/2023] [Indexed: 07/10/2023]
Abstract
INTRODUCTION The cingulate island sign (CIS) is a metabolic pattern on [18F]fluorodeoxyglucose ([18F]FDG) positron emission tomography (PET) associated with dementia with Lewy bodies (DLB). The aim of this study was to validate the visual CIS rating scale (CISRs) for the diagnosis of DLB and to explore the clinical correlates. METHODS This single-center study included 166 DLB patients and 161 patients with Alzheimer's disease (AD). The CIS on [18F]FDG-PET scans was rated using the CISRs independently by three blinded raters. RESULTS The optimal cut-off to differentiate DLB from AD was a CISRs score ≥ 1 (sensitivity = 66%, specificity = 84%) whereas a CISRs score ≥ 2 (sensitivity = 58%, specificity = 92%) was optimal to differentiate amyloid positive DLB (n = 43 (82.7%)) and AD. To identify DLB with abnormal (n = 53 (72.6%)) versus normal (n = 20 (27.4%)) dopamine transporter imaging, a CISRs cut-off of 4 had a specificity of 95%. DLB with a CISRs score of 4 performed significantly better in tests on free verbal recall and picture based cued recall, but worse on processing speed compared to DLB with a CISRs score of 0. CONCLUSION This study confirms the CISRs as a valid marker for the diagnosis of DLB with a high specificity and a lower, but acceptable, sensitivity. Concomitant AD pathology does not influence diagnostic accuracy of the CISRs. In DLB patients, presence of CIS is associated with relative preserved memory function and impaired processing speed.
Collapse
Affiliation(s)
- Linda Ruohua Feng
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Asmus Vogel
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Clara Mellergaard
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Steen Gregers Hasselbalch
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Otto Mølby Henriksen
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Kristian Steen Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
| |
Collapse
|
20
|
Jellinger KA. Morphological characteristics differentiate dementia with Lewy bodies from Parkinson disease with and without dementia. J Neural Transm (Vienna) 2023:10.1007/s00702-023-02660-3. [PMID: 37306790 DOI: 10.1007/s00702-023-02660-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/01/2023] [Indexed: 06/13/2023]
Abstract
Dementia with Lewy bodies (DLB) and Parkinson disease (PD) with and without dementia are entities of a spectrum of Lewy body diseases. About 26.3% of all PD patients develop dementia increasing up to 83%. Parkinson disease-dementia (PDD) and DLB share many clinical and morphological features that separate them from non-demented PD (PDND). Clinically distinguished by the temporal sequence of motor and cognitive symptoms, the pathology of PDD and DLB includes variable combinations of Lewy body (LB) and Alzheimer (AD) lesions, both being more severe in DLB, but much less frequent and less severe in PDND. The objective of this study was to investigate the morphological differences between these three groups. 290 patients with pathologically confirmed PD were reviewed. 190 of them had clinical dementia; 110 met the neuropathological criteria of PDD and 80 of DLB. The major demographic and clinical data were obtained from medical records. Neuropathology included semiquantitative assessment of LB and AD pathologies including cerebral amyloid angiopathy (CAA). PDD patients were significantly older than PDND and DLB ones (83.9 vs 77.9 years, p < 0.05); the age of DLB patients was between them (80.0 years), while the disease duration was shortest in DLB. Brain weight was lowest in DLB, which showed higher Braak LB scores (mean 5.2 vs 4.2) and highest Braak tau stages (mean 5.2 vs 4.4 and 2.3, respectively). Thal Aβ phases were also highest in DLB (mean 4.1 vs 3.0 and 1.8, respectively). Major findings were frequency and degree of CAA, being highest in DLB (95% vs 50% and 24%, with scores 2.9 vs 0.7 and 0.3, respectively), whereas other small vessel lesions showed no significant differences. Striatal Aβ deposits also differentiated DLB from the other groups. This and other studies of larger cohorts of PD patients indicate that the association of CAA and cortical tau-but less-LB pathologies are associated with more severe cognitive decline and worse prognosis that distinguish DLB from PDD and PDND. The particular impact of both CAA and tau pathology supports the concept of a pathogenic continuum ranging from PDND to DLB + AD within the spectrum of age-related synucleinopathies.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
| |
Collapse
|
21
|
Mutlay F, Kaya D, Ates Bulut E, Akpınar Söylemez B, Öntan MS, Isık AT. Validation of the Turkish version of the Lewy body composite risk score. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-7. [PMID: 37183974 DOI: 10.1080/23279095.2023.2212393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
The Lewy Body Composite Risk Score (LBCRS) has been developed to increase the sensitivity and specificity of the diagnosis attributable to Lewy body pathology outside of specialty centers. We aimed to assess the validity and reliability of the Turkish version of the LBCRS in patients with dementia with Lewy Bodies (DLB) and investigate the discriminative power of the test in Turkish patients with Alzheimer's disease (AD) and DLB, and control group. The sample population (n = 512) comprised DLB (n = 113), DLB-Mild Cognitive Impairment (MCI)(n = 12), AD (n = 42), AD-MCI (n = 21), and control group (n = 324). A significant group difference was observed in the Turkish version of the LBCRS scores of the five groups (p < .001). The Cronbach's α value was 0.82 (95% CI: 0.799-0.868). The test-retest reliability score of the scale was r = 0.94 and p < .001. The subscales of the LBCRS (motor and nonmotor subdomains of the disease) were determined to explain 65.961% of the total variance with an eigenvalue >1. In patients with DLB, the cutoff score of ≥3 showed sensitivity (92%) and specificity (81%) (area under the curve [AUC] = 0.883, 95% CI: 0.815-0.951), p < .001) compared with the AD. Compared to the control group, the cutoff score of ≥3 showed a sensitivity of 98% and specificity of 97% (AUC = 0.994, 95% CI: 0.989-0.999, p < .001). The Turkish version of LBCRS permits accurate diagnosis of DLB with high sensitivity and specificity. Also, it can be useful to inform the caregivers regarding the course of the disease during the follow-up.
Collapse
Affiliation(s)
- Feyza Mutlay
- Unit for Aging Brain and Dementia, Department of Geriatric Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
- The Geriatric Science Association, Izmir, Turkey
| | - Derya Kaya
- Unit for Aging Brain and Dementia, Department of Geriatric Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
- The Geriatric Science Association, Izmir, Turkey
| | - Esra Ates Bulut
- The Geriatric Science Association, Izmir, Turkey
- Department of Geriatric Medicine, Adana City Research and Training Hospital, Adana, Turkey
| | - Burcu Akpınar Söylemez
- Department of Internal Medicine Nursing, Faculty of Nursing, Dokuz Eylul University, Izmir, Turkey
| | - Mehmet Selman Öntan
- Unit for Aging Brain and Dementia, Department of Geriatric Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
- The Geriatric Science Association, Izmir, Turkey
| | - Ahmet Turan Isık
- Unit for Aging Brain and Dementia, Department of Geriatric Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
- The Geriatric Science Association, Izmir, Turkey
| |
Collapse
|
22
|
Perovnik M, Rus T, Schindlbeck KA, Eidelberg D. Functional brain networks in the evaluation of patients with neurodegenerative disorders. Nat Rev Neurol 2023; 19:73-90. [PMID: 36539533 DOI: 10.1038/s41582-022-00753-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2022] [Indexed: 12/24/2022]
Abstract
Network analytical tools are increasingly being applied to brain imaging maps of resting metabolic activity (PET) or blood oxygenation-dependent signals (functional MRI) to characterize the abnormal neural circuitry that underlies brain diseases. This approach is particularly valuable for the study of neurodegenerative disorders, which are characterized by stereotyped spread of pathology along discrete neural pathways. Identification and validation of disease-specific brain networks facilitate the quantitative assessment of pathway changes over time and during the course of treatment. Network abnormalities can often be identified before symptom onset and can be used to track disease progression even in the preclinical period. Likewise, network activity can be modulated by treatment and might therefore be used as a marker of efficacy in clinical trials. Finally, early differential diagnosis can be achieved by simultaneously measuring the activity levels of multiple disease networks in an individual patient's scans. Although these techniques were originally developed for PET, over the past several years analogous methods have been introduced for functional MRI, a more accessible non-invasive imaging modality. This advance is expected to broaden the application of network tools to large and diverse patient populations.
Collapse
Affiliation(s)
- Matej Perovnik
- Department of Neurology, University Medical Center Ljubljana, Ljubljana, Slovenia.,Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Tomaž Rus
- Department of Neurology, University Medical Center Ljubljana, Ljubljana, Slovenia.,Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | | | - David Eidelberg
- Center for Neurosciences, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
| |
Collapse
|
23
|
Bayram E, Holden SK, Fullard M, Armstrong MJ. Race and Ethnicity in Lewy Body Dementia: A Narrative Review. J Alzheimers Dis 2023; 94:861-878. [PMID: 37355902 PMCID: PMC10448838 DOI: 10.3233/jad-230207] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2023]
Abstract
Lewy body dementia is the third most common and costliest type of dementia. It is an umbrella term for dementia with Lewy bodies and Parkinson's disease dementia, both of which place a substantial burden on the person and society. Recent findings outline ethnoracial differences in dementia risk. Delayed and misdiagnosis across ethnoracial groups contribute to higher levels of burden. In this context, we aimed to summarize current knowledge, gaps, and unmet needs relating to race and ethnicity in Lewy body dementia. In this narrative review, we provide an overview of studies on Lewy body dementia focusing on differences across ethnoracial groups and outline several recommendations for future studies. The majority of the findings comparing different ethnoracial groups were from North American sites. There were no differences in clinical prevalence and progression across ethnoracial groups. Compared to people identifying as non-Hispanic White, co-pathologies were more common and clinical diagnostic accuracy was lower for people identifying as Black. Co-morbidities (e.g., diabetes, hypertension) were more common and medication use rates (e.g., antidepressants, antiparkinsonian agents) were lower for people identifying as Black or Hispanic compared to people identifying as White. More than 90% of clinical trial participants identified as non-Hispanic White. Despite increasing efforts to overcome disparities in Alzheimer's disease and related dementias, inclusion of individuals from minoritized communities in Lewy body dementia studies continues to be limited and the findings are inconclusive. Representation of diverse populations is crucial to improve the diagnostic and therapeutic efforts in Lewy body dementia.
Collapse
Affiliation(s)
- Ece Bayram
- Parkinson and Other Movement Disorders Center, Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Samantha K Holden
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Michelle Fullard
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Melissa J Armstrong
- Department of Neurology, University of Florida College of Medicine, Gainesville, FL, USA
- Fixel Institute for Neurological Diseases, Gainesville, FL, USA
| |
Collapse
|
24
|
McGinnis SM, McCann RF, Patel V, Doughty CT, Miller MB, Gale SA, Silbersweig DA, Daffner KR. Case Study 5: A 74-Year-Old Man With Dysphagia, Weakness, and Memory Loss. J Neuropsychiatry Clin Neurosci 2023; 35:210-217. [PMID: 37448308 DOI: 10.1176/appi.neuropsych.20230030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/15/2023]
Affiliation(s)
- Scott M McGinnis
- Departments of Neurology (McGinnis, Doughty, Gale, Daffner) and Psychiatry (McCann, Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Patel, Miller), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Ruth F McCann
- Departments of Neurology (McGinnis, Doughty, Gale, Daffner) and Psychiatry (McCann, Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Patel, Miller), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Viharkumar Patel
- Departments of Neurology (McGinnis, Doughty, Gale, Daffner) and Psychiatry (McCann, Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Patel, Miller), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Christopher T Doughty
- Departments of Neurology (McGinnis, Doughty, Gale, Daffner) and Psychiatry (McCann, Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Patel, Miller), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Michael B Miller
- Departments of Neurology (McGinnis, Doughty, Gale, Daffner) and Psychiatry (McCann, Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Patel, Miller), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Seth A Gale
- Departments of Neurology (McGinnis, Doughty, Gale, Daffner) and Psychiatry (McCann, Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Patel, Miller), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - David A Silbersweig
- Departments of Neurology (McGinnis, Doughty, Gale, Daffner) and Psychiatry (McCann, Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Patel, Miller), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Kirk R Daffner
- Departments of Neurology (McGinnis, Doughty, Gale, Daffner) and Psychiatry (McCann, Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Patel, Miller), Brigham and Women's Hospital, Harvard Medical School, Boston
| |
Collapse
|
25
|
From protein biomarkers to proteomics in dementia with Lewy Bodies. Ageing Res Rev 2023; 83:101771. [PMID: 36328346 DOI: 10.1016/j.arr.2022.101771] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 09/15/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022]
Abstract
Dementia with Lewy Bodies (DLB) is the second most common neurodegenerative dementia. Despite considerable research progress, there remain gaps in our understanding of the pathophysiology and there is no disease-modifying treatment. Proteomics is a powerful tool to elucidate complex biological pathways across heterogenous conditions. This review summarizes the widely used proteomic methods and presents evidence for protein dysregulation in the brain and peripheral tissues in DLB. Proteomics of post-mortem brain tissue shows that DLB shares common features with other dementias, such as synaptic dysfunction, but retains a unique protein signature. Promising diagnostic biomarkers are being identified in cerebrospinal fluid (CSF), blood, and peripheral tissues, such as serum Heart-type fatty acid binding protein. Research is needed to track these changes from the prodromal stage to established dementia, with standardized workflows to ensure replicability. Identifying novel protein targets in causative biological pathways could lead to the development of new targeted therapeutics or the stratification of participants for clinical trials.
Collapse
|
26
|
Li K, Rashid T, Li J, Honnorat N, Nirmala AB, Fadaee E, Wang D, Charisis S, Liu H, Franklin C, Maybrier M, Katragadda H, Abazid L, Ganapathy V, Valaparla VL, Badugu P, Vasquez E, Solano L, Clarke G, Maestre G, Richardson T, Walker J, Fox PT, Bieniek K, Seshadri S, Habes M. Postmortem Brain Imaging in Alzheimer's Disease and Related Dementias: The South Texas Alzheimer's Disease Research Center Repository. J Alzheimers Dis 2023; 96:1267-1283. [PMID: 37955086 PMCID: PMC10693476 DOI: 10.3233/jad-230389] [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] [Accepted: 09/24/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Neuroimaging bears the promise of providing new biomarkers that could refine the diagnosis of dementia. Still, obtaining the pathology data required to validate the relationship between neuroimaging markers and neurological changes is challenging. Existing data repositories are focused on a single pathology, are too small, or do not precisely match neuroimaging and pathology findings. OBJECTIVE The new data repository introduced in this work, the South Texas Alzheimer's Disease research center repository, was designed to address these limitations. Our repository covers a broad diversity of dementias, spans a wide age range, and was specifically designed to draw exact correspondences between neuroimaging and pathology data. METHODS Using four different MRI sequences, we are reaching a sample size that allows for validating multimodal neuroimaging biomarkers and studying comorbid conditions. Our imaging protocol was designed to capture markers of cerebrovascular disease and related lesions. Quantification of these lesions is currently underway with MRI-guided histopathological examination. RESULTS A total of 139 postmortem brains (70 females) with mean age of 77.9 years were collected, with 71 brains fully analyzed. Of these, only 3% showed evidence of AD-only pathology and 76% had high prevalence of multiple pathologies contributing to clinical diagnosis. CONCLUSION This repository has a significant (and increasing) sample size consisting of a wide range of neurodegenerative disorders and employs advanced imaging protocols and MRI-guided histopathological analysis to help disentangle the effects of comorbid disorders to refine diagnosis, prognosis and better understand neurodegenerative disorders.
Collapse
Affiliation(s)
- Karl Li
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Tanweer Rashid
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Jinqi Li
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Nicolas Honnorat
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Anoop Benet Nirmala
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Elyas Fadaee
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Di Wang
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Sokratis Charisis
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Hangfan Liu
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Crystal Franklin
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Mallory Maybrier
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Haritha Katragadda
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Leen Abazid
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Vinutha Ganapathy
- Department of Neurology, University of Texas Health Science Center, San Antonio, TX, USA
| | | | - Pradeepthi Badugu
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Eliana Vasquez
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Leigh Solano
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Geoffrey Clarke
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Gladys Maestre
- Department of Neuroscience, School of Medicine, University of Texas Rio Grande Valley, Harlingen, TX, USA
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Tim Richardson
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jamie Walker
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peter T. Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Kevin Bieniek
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Department of Pathology, University of Texas Health Science Center, San Antonio, TX, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Mohamad Habes
- Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| |
Collapse
|
27
|
Zhu CW, Gu Y, Kociolek AJ, Fernandez KK, Cosentino S, Stern Y. Costs During the Last Five Years of Life for Patients with Clinical and Pathological Confirmed Diagnosis of Lewy Body Dementia and Alzheimer's Disease. J Alzheimers Dis 2023; 92:457-466. [PMID: 36776064 PMCID: PMC10120914 DOI: 10.3233/jad-221021] [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] [Accepted: 01/05/2023] [Indexed: 02/09/2023]
Abstract
BACKGROUND Little is known regarding healthcare expenditures for patients with dementia with Lewy bodies (DLB) during the end of life. OBJECTIVE This study estimated Medicare expenditures during the last 5 years of life in a decedent sample of patients who were clinically diagnosed with Alzheimer's disease (AD) or DLB and had autopsy confirmed diagnosis. METHODS The study included 58 participants clinically diagnosed with mild dementia at study entry (AD: n = 44, DLB: n = 14) and also had autopsy-confirmed diagnoses of pure AD (n = 32), mixed AD+Lewy body (LB) (n = 5), or pure LB (n = 11). Total Medicare expenditures were compared by clinical and pathology confirmed diagnosis, adjusting for sex, age at death, and patient's cognition, function, comorbidities, and psychiatric and extrapyramidal symptoms. RESULTS When pathology diagnoses were not considered, predicted annualized total Medicare expenditures during the last 5 years of life were similar between clinically diagnosed AD ($7,465±1,098) and DLB ($7,783±1,803). When clinical diagnoses were not considered, predicted expenditures were substantially higher in patients with pathology confirmed mixed AD+LB ($12,005±2,455) than either pure AD ($6,173±941) or pure LB ($4,629±1,968) cases. Considering clinical and pathology diagnosis together, expenditures for patients with clinical DLB and pathology mixed AD+LB ($23,592±3,679) dwarfed other groups. CONCLUSION Medicare expenditures during the last 5 years of life were substantially higher in patients with mixed AD+LB pathology compared to those with pure-AD and pure-LB pathologies, particularly in those clinically diagnosed with DLB. Results highlight the importance of having both clinical and pathology diagnoses in examining healthcare costs.
Collapse
Affiliation(s)
- Carolyn W. Zhu
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J Peters VA Medical Center, Bronx, NY, USA
| | - Yian Gu
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Anton J. Kociolek
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| | - Kayri K. Fernandez
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| | - Stephanie Cosentino
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| | - Yaakov Stern
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA
| |
Collapse
|
28
|
Journe‐Mallet I, Gouju J, Etcharry‐Bouyx F, Chauvire V, Guillet‐Pichon V, Scherer‐Gagou C, Prundean A, Godard S, Lecluse A, Cassereau J, Verny C, Letournel F, Codron P. Design and application of a customizable relational
DataBase
to assess clinicopathological correlations and concomitant pathology in neurodegenerative diseases. Brain Pathol 2022; 33:e13138. [PMID: 36536531 PMCID: PMC10154372 DOI: 10.1111/bpa.13138] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
The diagnosis of neurodegenerative diseases is made complex by the heterogenous phenotype of the patients and the regular occurrence of concomitant pathology. Studying clinicopathological correlations in autopsy series is a central approach to improve pathological prediction in clinical practice. However, such method requires a wealth of information, and the use of standard spreadsheet software is hardly suitable. To overcome this constraint, we designed a customizable and freely available neuropathology form with 456 data entry fields driven by an open-source DataBase Management Systems (DBMS) using Structured Query Language (SQL). This approach allowed us to optimize the compilation of clinical and pathological data from our brain collection (264 autopsied patients, 22,885 data points). Information was then easily retrieved using general and specific queries, facilitating the analysis of demographics, clinicopathological correlations, and incidental and concomitant proteinopathies. Tau, amyloid-β and α-synuclein incidental pathology was observed in respectively 78.1%, 42.8%, and 10.7% of all the patients. These proportions increased with age, reaching 100% for Tau pathology after 80. Concomitant proteinopathy was observed in 46.4% of the patients diagnosed with neurodegenerative diseases and prion disease. We observed a particularly high rate of co-pathology in patients with Dementia with Lewy bodies (81.3% of associated Tau and amyloid-β pathology) and Creutzfeldt-Jakob disease (68.4% of associated Tau pathology). Finally, we used specific queries to identify old cases that could meet newly defined neuropathological criteria and revised the diagnosis of a 90-year-old patient to LATE Stage 2. Increasing our understanding of clinicopathological correlations in neurodegenerative diseases is crucial given the implications in clinical diagnosis, biomarker identification and targeted therapies assessment. The precise characterization of clinical and pathological data of autopsy series remains a central approach but the large amount of generated data should encourage a more systematic use of DBMS.
Collapse
Affiliation(s)
- Isabelle Journe‐Mallet
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | - Julien Gouju
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | | | - Valérie Chauvire
- Centre mémoire de ressource et de recherche Centre Hospitalier Universitaire d'Angers Angers France
| | - Virginie Guillet‐Pichon
- Centre mémoire de ressource et de recherche Centre Hospitalier Universitaire d'Angers Angers France
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
| | - Clarisse Scherer‐Gagou
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
| | - Adriana Prundean
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
| | - Sophie Godard
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
| | - Aldéric Lecluse
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
| | - Julien Cassereau
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
- Centre de référence des maladies neuromusculaires AOC Centre Hospitalier Universitaire d'Angers Angers France
- Centre de ressources et de compétences sur la SLA Centre Hospitalier Universitaire d'Angers Angers France
| | - Christophe Verny
- Centre de référence des maladies neurogénétiques Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
| | - Franck Letournel
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
| | - Philippe Codron
- Laboratoire de neurobiologie et neuropathologie Centre Hospitalier Universitaire d'Angers Angers France
- MITOVASC Univ Angers, Inserm, CNRS, SFR ICAT Angers France
- Unité neurovasculaire Centre Hospitalier Universitaire d'Angers Angers France
- Centre de référence des maladies neuromusculaires AOC Centre Hospitalier Universitaire d'Angers Angers France
- Centre de ressources et de compétences sur la SLA Centre Hospitalier Universitaire d'Angers Angers France
| |
Collapse
|
29
|
Santos F, Cabreira V, Rocha S, Massano J. Blood Biomarkers for the Diagnosis of Neurodegenerative Dementia: A Systematic Review. J Geriatr Psychiatry Neurol 2022:8919887221141651. [PMID: 36423207 DOI: 10.1177/08919887221141651] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
IMPORTANCE Accurately diagnosing neurodegenerative dementia is often challenging due to overlapping clinical features. Disease specific biomarkers could enhance diagnostic accuracy. However, CSF analysis procedures and advanced imaging modalities are either invasive or high-priced, and routinely unavailable. Easily accessible disease biomarkers would be of utmost value for accurate differential diagnosis of dementia subtypes. OBJECTIVE To assess the diagnostic accuracy of blood-based biomarkers for the differential diagnosis of AD from Frontotemporal Lobar Degeneration (FTLD), or AD from Dementia with Lewy Bodies (DLB). METHODS Systematic review. Three databases (PubMed, Scopus, and Web of Science) were searched. Studies assessing blood-based biomarkers levels in AD versus FTLD, or AD versus DLB, and its diagnostic accuracy, were selected. When the same biomarker was assessed in three or more studies, a meta-analysis was performed. QUADAS-2 criteria were used for quality assessment. RESULTS Twenty studies were included in this analysis. Collectively, 905 AD patients were compared to 1262 FTLD patients, and 209 AD patients were compared to 246 DLB patients. Regarding biomarkers for AD versus FTLD, excellent discriminative accuracy (AUC >0.9) was found for p-tau181, p-tau217, synaptophysin, synaptopodin, GAP43 and calmodulin. Other biomarkers also demonstrated good accuracy (AUC = 0.8-0.9). For AD versus DLB distinction, only miR-21-5p and miR-451a achieved excellent accuracy (AUC >0.9). CONCLUSION Encouraging results were found for several biomarkers, alone or in combination. Prospective longitudinal designs and consensual protocols, comprising larger cohorts and homogeneous testing modalities across centres, are essential to validate the clinical value of blood biomarkers for the precise etiological diagnosis of dementia.
Collapse
Affiliation(s)
- Filipa Santos
- Department of Clinical Neurosciences and Mental Health, 26705Faculty of Medicine University of Porto, Porto, Portugal
| | - Verónica Cabreira
- Department of Clinical Neurosciences and Mental Health, 26705Faculty of Medicine University of Porto, Porto, Portugal.,Department of Neurology, 285211Centro Hospitalar Universitário de São João, Porto, Portugal
| | - Sara Rocha
- iLoF - Intelligent Lab on Fiber, Oxford, UK.,Department of Biochemistry, 26705Faculty of Medicine University of Porto, Porto, Portugal
| | - João Massano
- Department of Clinical Neurosciences and Mental Health, 26705Faculty of Medicine University of Porto, Porto, Portugal.,Department of Neurology, 285211Centro Hospitalar Universitário de São João, Porto, Portugal
| |
Collapse
|
30
|
Webber TA, Kiselica AM, Mikula C, Woods SP. Dispersion-based cognitive intra-individual variability in dementia with Lewy bodies. Neuropsychology 2022; 36:719-729. [PMID: 36107707 PMCID: PMC9613596 DOI: 10.1037/neu0000856] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2023] Open
Abstract
OBJECTIVE Cognitive fluctuations are characteristic of dementia with Lewy bodies (DLB) but challenging to measure. Dispersion-based intra-individual variability (IIV-d) captures neurocognitive performance fluctuations across a test battery and may be sensitive to cognitive fluctuations but has not been studied in DLB. METHOD We report on 5,976 participants that completed the uniform data set 3.0 neuropsychological battery (UDS3NB). IIV-d was calculated via the intra-individual standard deviation across 12 primary UDS3NB indicators. Separate models using mean USD3NB score and the Montreal cognitive assessment (MoCA) total score tested the reproducibility of the incremental value of IIV-d over-and-above global cognition. Binary logistic regressions tested whether IIV-d could classify individuals with and without clinician-rated cognitive fluctuations. Multinomial logistic regressions tested whether IIV-d could differentiate participants with DLB, participants with Alzheimer's disease (AD), and participants with healthy cognition (CH), as well as the incremental diagnostic utility of IIV-d over-and-above clinician-rated cognitive fluctuations. RESULTS IIV-d exhibited large univariate associations with clinician-rated and non-clinician-informant reported cognitive fluctuations, which persisted when adjusting for MoCA but not the full battery mean. Of diagnostic relevance, greater IIV-d was consistently associated with DLB and AD relative to CH over-and-above global cognition and clinician-rated cognitive fluctuations. Greater IIV-d was less consistently associated with an increased probability of DLB relative to AD when controlling for global cognition. CONCLUSIONS IIV-d accurately differentiates DLB from CH over-and-above global cognition and clinician-rated cognitive fluctuations. IIV-d may supplement a thorough clinical interview of cognitive fluctuations and serve as a standardized performance-based indicator of this transdiagnostic phenomenon. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Collapse
Affiliation(s)
- Troy A. Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine
| | | | | | | |
Collapse
|
31
|
Hansen N, Müller SJ, Khadhraoui E, Riedel CH, Langer P, Wiltfang J, Timäus CA, Bouter C, Ernst M, Lange C. Metric magnetic resonance imaging analysis reveals pronounced substantia-innominata atrophy in dementia with Lewy bodies with a psychiatric onset. Front Aging Neurosci 2022; 14:815813. [PMID: 36274999 PMCID: PMC9580213 DOI: 10.3389/fnagi.2022.815813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 09/12/2022] [Indexed: 11/17/2022] Open
Abstract
Background Dementia with Lewy bodies (DLB) is a type of dementia often diagnosed in older patients. Since its initial symptoms range from delirium to psychiatric and cognitive symptoms, the diagnosis is often delayed. Objectives In our study, we evaluated the magnetic resonance imaging (MRI) of patients suffering from DLB in correlation with their initial symptoms taking a new pragmatic approach entailing manual measurements in addition to an automated volumetric analysis of MRI. Methods A total of 63 patients with diagnosed DLB and valid 3D data sets were retrospectively and blinded evaluated. We assessed atrophy patterns (1) manually for the substantia innominata and (2) via FastSurfer for the most common supratentorial regions. Initial symptoms were categorized by (1) mild cognitive impairment (MCI), (2) psychiatric episodes, and (3) delirium. Results Manual metric MRI measurements revealed moderate, but significant substantia-innominata (SI) atrophy in patients with a psychiatric onset. FastSurfer analysis revealed no regional volumetric differences between groups. Conclusion The SI in patients with DLB and a psychiatric-onset is more atrophied than that in patients with initial MCI. Our results suggest potential differences in SI between DLB subtypes at the prodromal stage, which are useful when taking a differential-diagnostic approach. This finding should be confirmed in larger patient cohorts.
Collapse
Affiliation(s)
- Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- *Correspondence: Niels Hansen,
| | - Sebastian Johannes Müller
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
- Sebastian Johannes Müller,
| | - Eya Khadhraoui
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Christian Heiner Riedel
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Philip Langer
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Neurosciences and Signaling Group, Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Charles-Arnold Timäus
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Caroline Bouter
- Department of Nuclear Medicine, University Medical Center Göttingen (UMG), Georg August University, Göttingen, Germany
| | - Marielle Ernst
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Göttingen, Germany
| | - Claudia Lange
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| |
Collapse
|
32
|
Xu C, Zhao L, Dong C. A Review of Application of Aβ42/40 Ratio in Diagnosis and Prognosis of Alzheimer’s Disease. J Alzheimers Dis 2022; 90:495-512. [DOI: 10.3233/jad-220673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The number of patients with Alzheimer’s disease (AD) and non-Alzheimer’s disease (non-AD) has drastically increased over recent decades. The amyloid cascade hypothesis attributes a vital role to amyloid-β protein (Aβ) in the pathogenesis of AD. As the main pathological hallmark of AD, amyloid plaques consist of merely the 42 and 40 amino acid variants of Aβ (Aβ 42 and Aβ 40). The cerebrospinal fluid (CSF) biomarker Aβ 42/40 has been extensively investigated and eventually integrated into important diagnostic tools to support the clinical diagnosis of AD. With the development of highly sensitive assays and technologies, blood-based Aβ 42/40, which was obtained using a minimally invasive and cost-effective method, has been proven to be abnormal in synchrony with CSF biomarker values. This paper presents the recent progress of the CSF Aβ 42/40 ratio and plasma Aβ 42/40 for AD as well as their potential clinical application as diagnostic markers or screening tools for dementia.
Collapse
Affiliation(s)
- Chang Xu
- Department of Neurology, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Li Zhao
- Department of Neurology, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Chunbo Dong
- Department of Neurology, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| |
Collapse
|
33
|
McCombe N, Joshi A, Finn DP, McClean PL, Roberts G, O'Brien JT, Thomas AJ, Kane JPM, Wong-Lin K. Distinguishing Lewy Body Dementia from Alzheimer's Disease using Machine Learning on Heterogeneous Data: A Feasibility Study. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2022; 2022:4929-4933. [PMID: 36085984 DOI: 10.1109/embc48229.2022.9871714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Dementia with Lewy Bodies (DLB) is the second most common form of dementia, but diagnostic markers for DLB can be expensive and inaccessible, and many cases of DLB are undiagnosed. This work applies machine learning techniques to determine the feasibility of distinguishing DLB from Alzheimer's Disease (AD) using heterogeneous data features. The Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm was first applied using a Leave-One-Out Cross-Validation protocol to a dataset comprising DLB and AD cases. Then, interpretable association rule-based diagnostic classifiers were obtained for distinguishing DLB from AD. The various diagnostic classifiers generated by this process had high accuracy over the whole dataset (mean accuracy of 94%). The mean accuracy in classifying their out-of-sample case was 80.5%. Every classifier generated consisted of very simple structure, each using 1-2 classification rules and 1-3 data features. As a group, the classifiers were heterogeneous and used several different data features. In particular, some of the classifiers used very simple and inexpensive diagnostic features, yet with high diagnostic accuracy. This work suggests that opportunities may exist for incorporating accessible diagnostic assessments while improving diagnostic rate for DLB. Clinical Relevance- Simple and interpretable high-performing machine learning algorithms identified a variety of readily available clinical assessments for differential diagnosis of dementia offering the opportunities to incorporate various simple and inexpensive screening tests for DLB and addressing the problem of DLB underdiagnosis.
Collapse
|
34
|
Jellinger KA. Are there morphological differences between Parkinson's disease-dementia and dementia with Lewy bodies? Parkinsonism Relat Disord 2022; 100:24-32. [PMID: 35691178 DOI: 10.1016/j.parkreldis.2022.05.024] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/21/2022] [Accepted: 05/30/2022] [Indexed: 12/17/2022]
Abstract
Parkinson's disease dementia (PDD) and dementia with Lewy bodies (DLB) are two major neurocognitive disorders in the spectrum of Lewy body diseases that overlap in many clinical and neuropathological features, although they show several differences. Clinically distinguished mainly based on the duration of parkinsonism prior to development of dementia, their morphology is characterized by a variable combination of Lewy body (LB) and Alzheimer's disease (AD) pathologies, the latter usually being more frequent and severe in DLB. OBJECTIVE The aims of the study were to investigate essential neuropathological differences between PDD and DLB in a larger cohort of autopsy cases. METHODS 110 PDD autopsy cases were compared with 78 DLB cases. The major demographic, clinical (duration of illness, final MMSE) and neuropathological data were assessed retrospectively. Neuropathological studies used standardized methods and immunohistochemistry for phospho-tau, β-amyloid (Aß) and α-synuclein, with semiquantitative assessment of the major histological lesions. RESULTS PDD patients were significantly older at death than DLB ones (mean 83.9 vs. 79.8 years), with a significantly longer disease duration (mean 9.2 vs. 6.7 years). Braak LB scores and particularly neuritic Braak stages were significantly higher in the DLB group (mean 5.1and 5.1 vs. 4.2 and 4.4, respectively), as were Thal Aβ phases (mean 4.1 vs. 3.0). Diffuse striatal Aβ plaques were considerable in 55% and moderate in 45% of DLB cases, but were extremely rare in PDD. The most significant differences concerned the frequency and degree of cerebral amyloid angiopathy (CAA), being significantly higher in DLB (98.7 vs. 50%, and mean degree of 2.9 vs. 0.72, respectively). Worse prognosis in DLB than in PDD was linked to both increased Braak neuritic stages and more severe CAA. INTERPRETATION These and other recent studies imply the association of CAA, more severe concomitant AD pathology, and striatal Aβ load with cognitive decline and more rapid disease process that distinguishes DLB from PDD, while the influence of other cerebrovascular diseases or co-pathologies in both disorders was not specifically examined. The importance of both CAA and tau pathology in DLB and much less in PDD supports the concept of a pathogenetic continuum from Parkinson's disease (PD) - > PDD - > DLB - > DLB + AD and subtypes of AD with LB pathology within the spectrum of age-related proteinopathies.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Vienna, Austria, Alberichgasse 5/13, A-1150, Vienna, Austria.
| |
Collapse
|
35
|
Perovnik M, Tomše P, Jamšek J, Tang C, Eidelberg D, Trošt M. Metabolic brain pattern in dementia with Lewy bodies: Relationship to Alzheimer's disease topography. Neuroimage Clin 2022; 35:103080. [PMID: 35709556 PMCID: PMC9207351 DOI: 10.1016/j.nicl.2022.103080] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/26/2022] [Accepted: 06/05/2022] [Indexed: 10/28/2022]
Abstract
PURPOSE Dementia with Lewy bodies (DLB) is the second most common neurodegenerative dementia, that shares clinical and metabolic similarities with both Alzheimer's and Parkinson's disease. In this study we aimed to identify a DLB-related pattern (DLBRP), study its relationship with other metabolic brain patterns and explore its diagnostic and prognostic value. METHODS A cohort of 79 participants with DLB, 63 with dementia due to Alzheimer's disease (AD) and 41 normal controls (NCs) and their 2-[18F]FDG PET scans were analysed for identification and validation of DLBRP. Voxel-wise correlation and multiple linear regression were used to study the relation between DLBRP and Alzheimer's disease-related pattern (ADRP), Parkinson's disease-related pattern (PDRP) and PD-related cognitive pattern (PDCP). Diagnostic and prognostic value of DLBRP and of modified DLBRP after accounting for ADRP overlap (DLBRP ⊥ ADRP), were explored. RESULTS The newly identified DLBRP shared topographic similarities with ADRP (R2 = 24%) and PDRP (R2 = 37%), but not with PDCP. We could accurately discriminate between DLB and NC (AUC = 0.99) based on DLBRP expression, and between DLB and AD (AUC = 0.87) based on DLBRP ⊥ ADRP expression. DLBRP expression correlated with cognitive impairment, but the correlation was lost after accounting for ADRP overlap. DLBRP and DLBRP ⊥ ADRP correlated with patients' survival time. CONCLUSION DLBRP has proven to be a specific metabolic brain biomarker of DLB, sharing similarities with ADRP and PDRP, but not PDCP. We observed a similar metabolic mechanism underlying cognitive impairment in DLB and AD. DLB-specific metabolic changes were more detrimental for overall survival.
Collapse
Affiliation(s)
- Matej Perovnik
- Department of Neurology, University Medical Center Ljubljana, Zaloška cesta 2, 1000 Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia.
| | - Petra Tomše
- Department of Nuclear Medicine, University Medical Center Ljubljana, Zaloška cesta 2, 1000 Ljubljana, Slovenia
| | - Jan Jamšek
- Department of Nuclear Medicine, University Medical Center Ljubljana, Zaloška cesta 2, 1000 Ljubljana, Slovenia
| | - Chris Tang
- Center for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA
| | - David Eidelberg
- Center for Neurosciences, The Feinstein Institutes for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA
| | - Maja Trošt
- Department of Neurology, University Medical Center Ljubljana, Zaloška cesta 2, 1000 Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia; Department of Nuclear Medicine, University Medical Center Ljubljana, Zaloška cesta 2, 1000 Ljubljana, Slovenia
| |
Collapse
|
36
|
Bousiges O, Blanc F. Biomarkers of Dementia with Lewy Bodies: Differential Diagnostic with Alzheimer's Disease. Int J Mol Sci 2022; 23:ijms23126371. [PMID: 35742814 PMCID: PMC9223587 DOI: 10.3390/ijms23126371] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/30/2022] [Accepted: 06/01/2022] [Indexed: 02/04/2023] Open
Abstract
Dementia with Lewy Bodies (DLB) is a common form of cognitive neurodegenerative disease. Only one third of patients are correctly diagnosed due to the clinical similarity mainly with Alzheimer’s disease (AD). In this review, we evaluate the interest of different biomarkers: cerebrospinal fluid (CSF), brain MRI, FP-CIT SPECT, MIBG SPECT, PET by focusing more specifically on differential diagnosis between DLB and AD. FP-CIT SPECT is of high interest to discriminate DLB and AD, but not at the prodromal stage (i.e., MCI). MIBG SPECT with decreased cardiac sympathetic activity, perfusion SPECT with occipital hypoperfusion, FDG PET with occipital hypometabolism and cingulate island signs are of interest at the dementia stage but with a lower validity. Brain MRI has shown differences in group study with lower grey matter concentration of the Insula in prodromal DLB, but its interest in clinical routines is not demonstrated. Concerning CSF biomarkers, many studies have already examined the relevance of AD biomarkers but also alpha-synuclein assays in DLB, so we will focus as comprehensively as possible on other biomarkers (especially those that do not appear to be directly related to synucleinopathy) that may be of interest in the differential diagnosis between AD and DLB. Furthermore, we would like to highlight the growing interest in CSF synuclein RT-QuIC, which seems to be an excellent discrimination tool but its application in clinical routine remains to be demonstrated, given the non-automation of the process.
Collapse
Affiliation(s)
- Olivier Bousiges
- Laboratory of Biochemistry and Molecular Biology, University Hospital of Strasbourg, 67000 Strasbourg, France
- Team IMIS, ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), University of Strasbourg and CNRS, 67000 Strasbourg, France;
- CM2R (Research and Resources Memory Centre), Geriatrics Department, Day Hospital and Cognitive-Behavioral Unit University Hospitals of Strasbourg, 67000 Strasbourg, France
- Correspondence:
| | - Frédéric Blanc
- Team IMIS, ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), University of Strasbourg and CNRS, 67000 Strasbourg, France;
- CM2R (Research and Resources Memory Centre), Geriatrics Department, Day Hospital and Cognitive-Behavioral Unit University Hospitals of Strasbourg, 67000 Strasbourg, France
| |
Collapse
|
37
|
Ingram M, Colloby SJ, Firbank MJ, Lloyd JJ, O'Brien JT, Taylor JP. Spatial covariance analysis of FDG-PET and HMPAO-SPECT for the differential diagnosis of dementia with Lewy bodies and Alzheimer's disease. Psychiatry Res Neuroimaging 2022; 322:111460. [PMID: 35247828 DOI: 10.1016/j.pscychresns.2022.111460] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/13/2022] [Indexed: 10/19/2022]
Abstract
We investigated diagnostic characteristics of spatial covariance analysis (SCA) of FDG-PET and HMPAO-SPECT scans in the differential diagnosis of dementia with Lewy bodies (DLB) and Alzheimer's disease (AD), in comparison with visual ratings and region of interest (ROI) analysis. Sixty-seven patients (DLB 29, AD 38) had both HMPAO-SPECT and FDG-PET scans. Spatial covariance patterns were used to separate AD and DLB in an initial derivation group (DLB n=15, AD n=19), before being forward applied to an independent group (DLB n=14, AD n=19). Visual ratings were by consensus, with ROI analysis utilising medial occipital/medial temporal uptake ratios. SCA of HMPAO-SPECT performed poorly (AUC 0.59±0.10), whilst SCA of FDG-PET (AUC 0.83±0.07) was significantly better. For FDG-PET, SCA showed similar diagnostic performance to ROI analysis (AUC 0.84±0.08) and visual rating (AUC 0.82±0.08). In contrast to ROI analysis, there was little concordance between SCA and visual ratings of FDG-PET scans. We conclude that SCA of FDG-PET outperforms that of HMPAO-SPECT. SCA of FDG-PET also performed similarly to the other analytical approaches, despite the limitations of a relatively small SCA derivation group. Compared to visual rating, SCA of FDG-PET relies on different sources of group variance to separate DLB from AD.
Collapse
Affiliation(s)
- Matthew Ingram
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, United Kingdom.
| | - Sean J Colloby
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | - Michael J Firbank
- Institute of Neuroscience, Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | - Jim J Lloyd
- Institute of Neuroscience, Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - John-Paul Taylor
- Institute of Neuroscience, Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| |
Collapse
|
38
|
Manzine PR, Vatanabe IP, Grigoli MM, Pedroso RV, de Almeida MPOMEP, de Oliveira DDSMS, Crispim Nascimento CM, Peron R, de Souza Orlandi F, Cominetti MR. Potential Protein Blood-Based Biomarkers in Different Types of Dementia: A Therapeutic Overview. Curr Pharm Des 2022; 28:1170-1186. [DOI: 10.2174/1381612828666220408124809] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 02/24/2022] [Indexed: 11/22/2022]
Abstract
Abstract:
Biomarkers capable of identifying and distinguishing types of dementia such as Alzheimer's disease (AD), Parkinson's disease dementia (PDD), Lewy body dementia (LBD), and frontotemporal dementia (FTD) have been become increasingly relentless. Studies of possible biomarker proteins in the blood that can help formulate new diagnostic proposals and therapeutic visions of different types of dementia are needed. However, due to several limitations of these biomarkers, especially in discerning dementia, their clinical applications are still undetermined. Thus, the updating of biomarker blood proteins that can help in the diagnosis and discrimination of these main dementia conditions is essential to enable new pharmacological and clinical management strategies, with specificities for each type of dementia. To review the literature concerning protein blood-based AD and non-AD biomarkers as new pharmacological targets and/or therapeutic strategies. Recent findings for protein-based AD, PDD, LBD, and FTD biomarkers are focused on in this review. Protein biomarkers were classified according to the pathophysiology of the dementia types. The diagnosis and distinction of dementia through protein biomarkers is still a challenge. The lack of exclusive biomarkers for each type of dementia highlights the need for further studies in this field. Only after this, blood biomarkers may have a valid use in clinical practice as they are promising to help in diagnosis and in the differentiation of diseases.
Collapse
Affiliation(s)
- Patricia Regina Manzine
- Department of Gerontology, Federal University of Sao Carlos, Brazil. Highway Washington Luis, Km 235. Monjolinho
| | - Izabela Pereira Vatanabe
- Department of Gerontology, Federal University of Sao Carlos, Brazil. Highway Washington Luis, Km 235. Monjolinho
| | - Marina Mantellatto Grigoli
- Department of Gerontology, Federal University of Sao Carlos, Brazil. Highway Washington Luis, Km 235. Monjolinho
| | - Renata Valle Pedroso
- Department of Gerontology, Federal University of Sao Carlos, Brazil. Highway Washington Luis, Km 235. Monjolinho
| | | | | | | | - Rafaela Peron
- Department of Gerontology, Federal University of Sao Carlos, Brazil. Highway Washington Luis, Km 235. Monjolinho
| | - Fabiana de Souza Orlandi
- Department of Gerontology, Federal University of Sao Carlos, Brazil. Highway Washington Luis, Km 235. Monjolinho
| | - Márcia Regina Cominetti
- Department of Gerontology, Federal University of Sao Carlos, Brazil. Highway Washington Luis, Km 235. Monjolinho
| |
Collapse
|
39
|
Fluid Biomarkers in Alzheimer’s Disease and Other Neurodegenerative Disorders: Toward Integrative Diagnostic Frameworks and Tailored Treatments. Diagnostics (Basel) 2022; 12:diagnostics12040796. [PMID: 35453843 PMCID: PMC9029739 DOI: 10.3390/diagnostics12040796] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/09/2022] [Accepted: 03/17/2022] [Indexed: 02/05/2023] Open
Abstract
The diagnosis of neurodegenerative diseases (NDDs) represents an increasing social burden, with the unsolved issue of disease-modifying therapies (DMTs). The failure of clinical trials treating Alzheimer′s Disease (AD) so far highlighted the need for a different approach in drug design and patient selection. Identifying subjects in the prodromal or early symptomatic phase is critical to slow down neurodegeneration, but the implementation of screening programs with this aim will have an ethical and social aftermath. Novel minimally invasive candidate biomarkers (derived from blood, saliva, olfactory brush) or classical cerebrospinal fluid (CSF) biomarkers have been developed in research settings to stratify patients with NDDs. Misfolded protein accumulation, neuroinflammation, and synaptic loss are the pathophysiological hallmarks detected by these biomarkers to refine diagnosis, prognosis, and target engagement of drugs in clinical trials. We reviewed fluid biomarkers of NDDs, considering their potential role as screening, diagnostic, or prognostic tool, and their present-day use in clinical trials (phase II and III). A special focus will be dedicated to novel techniques for the detection of misfolded proteins. Eventually, an applicative diagnostic algorithm will be proposed to translate the research data in clinical practice and select prodromal or early patients to be enrolled in the appropriate DMTs trials for NDDs.
Collapse
|
40
|
Matsubara T, Kameyama M, Tanaka N, Sengoku R, Orita M, Furuta K, Iwata A, Arai T, Maruyama H, Saito Y, Murayama S. Autopsy Validation of the Diagnostic Accuracy of 123I-Metaiodobenzylguanidine Myocardial Scintigraphy for Lewy Body Disease. Neurology 2022; 98:e1648-e1659. [PMID: 35256483 PMCID: PMC9052572 DOI: 10.1212/wnl.0000000000200110] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 01/11/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES 123I-meta-iodobenzyl-guanidine (123I-MIBG) myocardial scintigraphy is employed as a diagnostic imaging test to differentiate Lewy body diseases (LBDs), including Parkinson's disease and dementia with Lewy bodies, from other similar diseases. However, its diagnostic accuracy lacks validation compared with that of the gold standard. We aimed to validate the diagnostic accuracy of 123I-MIBG myocardial scintigraphy for LBD against autopsy, the gold standard. METHODS This retrospective, cross-sectional study included consecutive autopsy patients from the Brain Bank for Aging Research who had undergone 123I-MIBG myocardial scintigraphy. We compared the 123I-MIBG myocardial scintigraphy findings with autopsy findings. Furthermore, the proportion of residual tyrosine hydroxylase (TH)-immunoreactive sympathetic fibers in the anterior wall of the left ventricle was investigated to assess the condition of the cardiac sympathetic nerves assumed to cause reduced 123I-MIBG uptake in LBDs. RESULTS We analyzed the data of 56 patients (30 with pathologically confirmed LBDs and 26 without LBD pathology). Compared with the neuropathological diagnosis, the early heart-to-mediastinum (H/M) ratio had a sensitivity and specificity of 70.0% (95% confidence interval [CI]: 50.6-85.3%) and 96.2% (95% CI: 80.4-99.9%), respectively. The delayed H/M ratio had a sensitivity and specificity of 80.0% (95% CI: 61.4-92.3%) and 92.3% (95% CI: 74.9-99.1%), respectively. The washout rate had a sensitivity and specificity of 80.0% (95% CI: 61.4-92.3%) and 84.6% (95% CI: 65.1-95.6%), respectively. The proportion of residual TH-immunoreactive cardiac sympathetic fibers strongly correlated with the amount of cardiac 123I-MIBG uptake when assessed with early and delayed H/M ratio values (correlation coefficient: 0.75 and 0.81, respectively; p < 0.001). DISCUSSION This clinicopathological validation study revealed that 123I-MIBG myocardial scintigraphy could robustly differentiate LBDs from similar diseases. Abnormal 123I-MIBG myocardial scintigraphy findings strongly support the presence of LBD and cardiac sympathetic denervation. However, LBD pathology should not necessarily be excluded by normal myocardial scintigraphy results, especially when other biomarkers suggest the presence of comorbid Alzheimer's disease pathology. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that 123I-MIBG myocardial scintigraphy accurately identifies patients with LBD.
Collapse
Affiliation(s)
- Tomoyasu Matsubara
- Department of Neuropathology (the Brain Bank for Aging Research), Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.,Department of Clinical Neuroscience and Therapeutics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Masashi Kameyama
- Department of Diagnostic Radiology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Noriko Tanaka
- Health Data Science Research Section, Healthy Aging Innovation Center (HAIC), Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Renpei Sengoku
- Department of Neurology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Makoto Orita
- Department of Neuropathology (the Brain Bank for Aging Research), Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.,Department of Pathology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Ko Furuta
- Department of Psychiatry, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Atsushi Iwata
- Department of Neurology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Tomio Arai
- Department of Pathology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Hirofumi Maruyama
- Department of Clinical Neuroscience and Therapeutics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - Yuko Saito
- Department of Neuropathology (the Brain Bank for Aging Research), Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Shigeo Murayama
- Department of Neuropathology (the Brain Bank for Aging Research), Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.,Department of Neurology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.,The Brain Bank for Neurodevelopmental, Neurological and Psychiatric Disorders, United Graduate School of Child Development, Osaka University, Osaka, Japan
| |
Collapse
|
41
|
Hermida AP, Sterina E, Schwab PP, Browning CM, Chapman HM, Marques Pinheiro AP, Mori N. Ultrabrief Right Unilateral Electroconvulsive Therapy for the Treatment of the Neuropsychiatric Symptoms of Dementia with Lewy Bodies. J ECT 2022; 38:39-44. [PMID: 34739421 DOI: 10.1097/yct.0000000000000809] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Dementia with Lewy bodies (DLB) is a debilitating disorder associated with a number of distressing neuropsychiatric symptoms. There is currently limited guidance regarding the most effective strategies of managing these symptoms, and both pharmacologic and nonpharmacologic strategies are often used. Electroconvulsive therapy (ECT) has been reported as a potential nonpharmacologic method to alleviate some of these debilitating neuropsychiatric symptoms. However, there remains a paucity of evidence in current literature. This report aims to add to existing literature regarding ECT in DLB by highlighting successful treatment in seven cases. METHODS Our study is a retrospective case series of 7 patients with DLB who received treatment with ultrabrief (UB) right unilateral (RUL) ECT for the treatment of agitation and depressive symptoms. Participants included patients with a diagnosis of DLB who were admitted to Emory University Hospital at Wesley Woods from 2011 to 2020 presenting with agitation and/or depressive symptoms after failing pharmacologic intervention. Patients underwent UB RUL ECT administered by a board-certified psychiatrist. After treatment, Pittsburg Agitation Scale and Clinical Global Impression-Improvement scales were recorded as measures of agitation and clinical improvement, respectively. RESULTS All 7 patients responded to UB RUL ECT with marked improvement in their presenting symptoms of agitation and/or depression without significant adverse effects from treatment. CONCLUSIONS Ultrabrief RUL ECT seems to be a safe and effective treatment of the agitative and depressive features of DLB.
Collapse
Affiliation(s)
| | | | | | - Cody Michael Browning
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| | - Hannah M Chapman
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| | | | - Neil Mori
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| |
Collapse
|
42
|
Abstract
The current nosological concept of α-synucleinopathies characterized by the presence of Lewy bodies (LBs) includes Parkinson’s disease (PD), Parkinson’s disease dementia (PDD), and dementia with Lewy bodies (DLB), for which the term “Lewy body disease” (LBD) has recently been proposed due to their considerable clinical and pathological overlap. However, even this term does not seem to describe the true nature of this group of diseases. The subsequent discoveries of α-synuclein (αSyn), SNCA gene, and the introduction of new immunohistochemical methods have started intensive research into the molecular-biological aspects of these diseases. In light of today’s knowledge, the role of LBs in the pathogenesis and classification of these nosological entities remains somewhat uncertain. An increasingly more important role is attributed to other factors as the presence of various LBs precursors, post-translational αSyn modifications, various αSyn strains, the deposition of other pathological proteins (particularly β-amyloid), and the discovery of selective vulnerability of specific cells due to anatomical configuration or synaptic dysfunction. Resulting genetic inputs can undoubtedly be considered as the main essence of these factors. Molecular–genetic data indicate that not only in PD but also in DLB, a unique genetic architecture can be ascertained, predisposing to the development of specific disease phenotypes. The presence of LBs thus remains only a kind of link between these disorders, and the term “diseases with Lewy bodies” therefore results somewhat more accurate.
Collapse
|
43
|
Zhou S, Meng Q, Li L, Hai L, Wang Z, Li Z, Sun Y. Identification of a Qualitative Signature for the Diagnosis of Dementia With Lewy Bodies. Front Genet 2021; 12:758103. [PMID: 34868234 PMCID: PMC8640079 DOI: 10.3389/fgene.2021.758103] [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: 08/17/2021] [Accepted: 10/28/2021] [Indexed: 11/24/2022] Open
Abstract
Background and purpose: Diagnosis of dementia with Lewy bodies (DLB) is highly challenging, primarily due to a lack of valid and reliable diagnostic tools. To date, there is no report of qualitative signature for the diagnosis of DLB. We aimed to develop a blood-based qualitative signature for differentiating DLB patients from healthy controls. Methods: The GSE120584 dataset was downloaded from the public database Gene Expression Omnibus (GEO). We combined multiple methods to select features based on the within-sample relative expression orderings (REOs) of microRNA (miRNA) pairs. Specifically, we first quickly selected miRNA pairs related to DLB by identifying reversal stable miRNA pairs. Then, an optimal miRNA pair subset was extracted by random forest (RF) and support vector machine-recursive feature elimination (SVM-RFE) methods. Furthermore, we applied logistic regression (LR) and SVM to build several prediction models. The model performance was assessed using the receiver operating characteristic curve (ROC) analysis. Lastly, we conducted bioinformatics analyses to explore the molecular mechanisms of the discovered miRNAs. Results: A qualitative signature consisted of 17 miRNA pairs and two clinical factors was identified for discriminating DLB patients from healthy controls. The signature is robust against experimental batch effects and applicable at the individual levels. The accuracies of the-signature-based models on the test set are 82.61 and 79.35%, respectively, indicating that the signature has acceptable discrimination performance. Moreover, bioinformatics analyses revealed that predicted target genes were enriched in 11 Go terms and 2 KEGG pathways. Moreover, five potential hub genes were found for DLB, including SRF, MAPK1, YWHAE, RPS6KA3, and KDM7A. Conclusion: This study provided a blood-based qualitative signature with the potential to be used as an effective tool to improve the accuracy of DLB diagnosis.
Collapse
Affiliation(s)
- Shu Zhou
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Central Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Qingchun Meng
- Central Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Lingyu Li
- Central Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Luo Hai
- Central Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Zexuan Wang
- Central Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Zhicheng Li
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yingli Sun
- Central Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| |
Collapse
|
44
|
Choudhury P, Graff-Radford J, Aakre JA, Wurtz L, Knopman DS, Graff-Radford NR, Kantarci K, Forsberg LK, Fields JA, Pedraza O, Chen Q, Miyagawa T, Day GS, Tipton P, Savica R, Botha H, Lachner C, Dredla B, Reichard RR, Petersen RC, Dickson DW, Boeve BF, Ferman TJ. The temporal onset of the core features in dementia with Lewy bodies. Alzheimers Dement 2021; 18:591-601. [PMID: 34761850 PMCID: PMC8986606 DOI: 10.1002/alz.12411] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 06/01/2021] [Accepted: 06/08/2021] [Indexed: 02/05/2023]
Abstract
Introduction We examined the temporal sequence of the core features in probable dementia with Lewy bodies (DLB). Methods In 488 patients with probable DLB, the onset of each core feature and time to diagnosis was determined for men and women, and a pathologic subgroup (n = 209). Results REM sleep behavior disorder (RBD) developed before the other core features in men and women. Men were more likely to have RBD and were diagnosed with probable DLB earlier than women. Visual hallucinations developed after the other core features in men, but in women, they appeared earlier and concurrently with fluctuations and parkinsonism. Women were older and more cognitively impaired at first visit, were less likely to have RBD, more likely to be diagnosed with probable DLB later than men, and more likely to have neocortical tangles. Discussion An earlier latency to probable DLB was associated with men, RBD, and Lewy body disease without neocortical tangles.
Collapse
Affiliation(s)
| | | | - Jeremiah A Aakre
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Lincoln Wurtz
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Leah K Forsberg
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Otto Pedraza
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, Florida, USA
| | - Qin Chen
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.,Department of Neurology, West China Hospital of Sichuan University, Sichuan, China
| | - Toji Miyagawa
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Gregory S Day
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Philip Tipton
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Christian Lachner
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, Florida, USA
| | - Brynn Dredla
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - R Ross Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Tanis J Ferman
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, Florida, USA
| |
Collapse
|
45
|
Added value of semiquantitative analysis of brain FDG-PET for the differentiation between MCI-Lewy bodies and MCI due to Alzheimer's disease. Eur J Nucl Med Mol Imaging 2021; 49:1263-1274. [PMID: 34651219 DOI: 10.1007/s00259-021-05568-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 09/17/2021] [Indexed: 01/13/2023]
Abstract
PURPOSE FDG-PET is an established supportive biomarker in dementia with Lewy bodies (DLB), but its diagnostic accuracy is unknown at the mild cognitive impairment (MCI-LB) stage when the typical metabolic pattern may be difficultly recognized at the individual level. Semiquantitative analysis of scans could enhance accuracy especially in less skilled readers, but its added role with respect to visual assessment in MCI-LB is still unknown. METHODS We assessed the diagnostic accuracy of visual assessment of FDG-PET by six expert readers, blind to diagnosis, in discriminating two matched groups of patients (40 with prodromal AD (MCI-AD) and 39 with MCI-LB), both confirmed by in vivo biomarkers. Readers were provided in a stepwise fashion with (i) maps obtained by the univariate single-subject voxel-based analysis (VBA) with respect to a control group of 40 age- and sex-matched healthy subjects, and (ii) individual odds ratio (OR) plots obtained by the volumetric regions of interest (VROI) semiquantitative analysis of the two main hypometabolic clusters deriving from the comparison of MCI-AD and MCI-LB groups in the two directions, respectively. RESULTS Mean diagnostic accuracy of visual assessment was 76.8 ± 5.0% and did not significantly benefit from adding the univariate VBA map reading (77.4 ± 8.3%) whereas VROI-derived OR plot reading significantly increased both accuracy (89.7 ± 2.3%) and inter-rater reliability (ICC 0.97 [0.96-0.98]), regardless of the readers' expertise. CONCLUSION Conventional visual reading of FDG-PET is moderately accurate in distinguishing between MCI-LB and MCI-AD, and is not significantly improved by univariate single-subject VBA but by a VROI analysis built on macro-regions, allowing for high accuracy independent of reader skills.
Collapse
|
46
|
Ferreira D, Nedelska Z, Graff-Radford J, Przybelski SA, Lesnick TG, Schwarz CG, Botha H, Senjem ML, Fields JA, Knopman DS, Savica R, Ferman TJ, Graff-Radford NR, Lowe VJ, Jack CR, Petersen RC, Lemstra AW, van de Beek M, Barkhof F, Blanc F, Loureiro de Sousa P, Philippi N, Cretin B, Demuynck C, Hort J, Oppedal K, Boeve BF, Aarsland D, Westman E, Kantarci K. Cerebrovascular disease, neurodegeneration, and clinical phenotype in dementia with Lewy bodies. Neurobiol Aging 2021; 105:252-261. [PMID: 34130107 PMCID: PMC8338792 DOI: 10.1016/j.neurobiolaging.2021.04.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/26/2021] [Accepted: 04/28/2021] [Indexed: 11/29/2022]
Abstract
We investigated whether cerebrovascular disease contributes to neurodegeneration and clinical phenotype in dementia with Lewy bodies (DLB). Regional cortical thickness and subcortical gray matter volumes were estimated from structural magnetic resonance imaging (MRI) in 165 DLB patients. Cortical and subcortical infarcts were recorded and white matter hyperintensities (WMHs) were assessed. Subcortical only infarcts were more frequent (13.3%) than cortical only infarcts (3.1%) or both subcortical and cortical infarcts (2.4%). Infarcts, irrespective of type, were associated with WMHs. A higher WMH volume was associated with thinner orbitofrontal, retrosplenial, and posterior cingulate cortices, smaller thalamus and pallidum, and larger caudate volume. A higher WMH volume was associated with the presence of visual hallucinations and lower global cognitive performance, and tended to be associated with the absence of probable rapid eye movement sleep behavior disorder. Presence of infarcts was associated with the absence of parkinsonism. We conclude that cerebrovascular disease is associated with gray matter neurodegeneration in patients with probable DLB, which may have implications for the multifactorial treatment of probable DLB.
Collapse
Affiliation(s)
- Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Zuzana Nedelska
- Department of Radiology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic
| | | | | | | | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN, USA; Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Tanis J Ferman
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL
| | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Afina W Lemstra
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
| | - Marleen van de Beek
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, Netherlands; Queen Square Institute of Neurology, University College London, London, UK
| | - Frederic Blanc
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Paulo Loureiro de Sousa
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Nathalie Philippi
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Benjamin Cretin
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Catherine Demuynck
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Jakub Hort
- Department of Neurology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
| | - Ketil Oppedal
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; Stavanger Medical Imaging Laboratory (SMIL), Department of Radiology, Stavanger University Hospital, Stavanger, Norway; Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
| | | | - Dag Aarsland
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
| |
Collapse
|
47
|
Chiu PY, Wei CY, Hung GU, Wu SL. Motor Dysfunction Questionnaire and Dopamine Transporter Imaging Composite Scale Improve Differentiating Dementia With Lewy Bodies From Alzheimer's Disease With Motor Dysfunction. Front Aging Neurosci 2021; 13:709215. [PMID: 34456711 PMCID: PMC8385672 DOI: 10.3389/fnagi.2021.709215] [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: 05/13/2021] [Accepted: 07/13/2021] [Indexed: 01/18/2023] Open
Abstract
Objective: Characteristic parkinsonism is the major comorbidity of dementia with Lewy bodies (DLB). We aimed to differentiate DLB from Alzheimer's disease (AD) with motor dysfunction using a composite scale with a characteristic motor dysfunction questionnaire (MDQ) and dopamine transporter (DAT) imaging. It could help detect DLB easily in healthcare settings without movement disorder specialists. Methods: This is a two-phase study. In the design phase, seven questions were selected and composed of a novel MDQ. In the test phase, all participants with DLB, AD, or non-dementia (ND) control completed dementia and parkinsonism survey, the novel designed questionnaire, DAT imaging, and composite scales of MDQ and DAT. The cutoff scores of the MDQ, semiquantitative analysis of the striatal–background ratio (SBR) and visual rating of DAT, and the composite scale of MDQ and DAT for discriminating DLB from AD or ND were derived and compared. Results: A total of 277 participants were included in this study (126 with DLB, 86 with AD, and 65 with ND). Compared with the AD or ND groups, the DLB group showed a significantly higher frequency in all seven items in the MDQ and a significantly lower SBR. For discrimination of DLB from non-DLB with MDQ, SBR, and composite scale, the cutoff scores of 3/2, 1.37/1.38, and 6/5 were suggested for the diagnosis of DLB with the sensitivities/specificities of 0.91/0.72, 0.91/0.80, and 0.87/0.93, respectively. The composite scale significantly improved the accuracy of discrimination compared with either the MDQ or SBR. Conclusion: This study showed that the novel designed simple questionnaire was a practical screening tool and had similar power to DAT scanning to detect DLB. The questionnaire can be applied in clinical practice and population studies for screening DLB. In addition, the composite scale of MDQ and DAT imaging further improved the diagnostic accuracy, indicating the superiority of the dual-model diagnostic tool.
Collapse
Affiliation(s)
- Pai-Yi Chiu
- Department of Neurology, Show Chwan Memorial Hospital, Changhua, Taiwan.,Department of Nursing, College of Nursing and Health Sciences, Da-Yeh University, Changhua, Taiwan
| | - Cheng-Yu Wei
- Department of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Guang-Uei Hung
- Department of Nuclear Medicine, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Shey-Lin Wu
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan.,Department of Biomedical Sciences, Da-Yeh University,Changhua, Taiwan
| |
Collapse
|
48
|
Bayram E, Coughlin DG, Banks SJ, Litvan I. Sex differences for phenotype in pathologically defined dementia with Lewy bodies. J Neurol Neurosurg Psychiatry 2021; 92:745-750. [PMID: 33563809 PMCID: PMC8530264 DOI: 10.1136/jnnp-2020-325668] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/14/2021] [Accepted: 01/26/2021] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Sex differences in dementia with Lewy bodies (DLB) have been reported in clinically defined cohorts; however, clinical diagnostic accuracy in DLB is suboptimal and phenotypic differences have not been assessed in pathologically confirmed participants. METHODS Core DLB features were compared across 55 women and 156 men with pathologically defined DLB in the National Alzheimer's Coordinating Center. These analyses were repeated for 55 women and 55 men matched for age, education and tau burden. RESULTS In the total sample, women died older, had fewer years of education, had higher tau burden but were less likely to be diagnosed with dementia and clinical DLB. In the matched sample, visual hallucinations continued to be less common in women, and fewer women met clinical DLB criteria. DISCUSSION Sex impacts clinical manifestations of underlying pathologies in DLB. Despite similar underlying Lewy body pathology, women are less likely to manifest core DLB features and may be clinically underdiagnosed.
Collapse
Affiliation(s)
- Ece Bayram
- Neurosciences, University of California San Diego, La Jolla, California, USA
| | - David G Coughlin
- Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Sarah J Banks
- Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Irene Litvan
- Neurosciences, University of California San Diego, La Jolla, California, USA
| |
Collapse
|
49
|
Dementia With Lewy Bodies: A Clinicopathologic Series of False-positive Cases. Alzheimer Dis Assoc Disord 2021; 34:178-182. [PMID: 31033516 DOI: 10.1097/wad.0000000000000308] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Diagnosing dementia with Lewy bodies (DLB) is challenging as symptoms are heterogenous and not specific to the disease. Here we present a clinicopathologic series of false-positive DLB cases. Patients were enrolled retrospectively from the Netherlands Brain Bank when they met the clinical criteria of probable DLB, but with a pathologic diagnosis other than DLB or Parkinson's disease dementia. Twenty-two false-positive cases were selected. Alzheimer disease with or without copathology was the most common (64%) pathologic diagnosis. Other pathologic diagnoses, such as frontotemporal dementia, multiple-system atrophy, Creutzfeldt-Jakob disease, and autoimmune encephalitis, were also encountered. Atypical clinical signs for DLB were present in almost half of the cases and could be a trigger to consider other diagnoses than DLB. Additional diagnostic examinations, feedback of pathologic diagnosis, and the creation of a set of clinical features that are indicative of other conditions, could reduce the amount of false-positive DLB cases.
Collapse
|
50
|
Hansson O. Biomarkers for neurodegenerative diseases. Nat Med 2021; 27:954-963. [PMID: 34083813 DOI: 10.1038/s41591-021-01382-x] [Citation(s) in RCA: 414] [Impact Index Per Article: 138.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 05/03/2021] [Indexed: 12/14/2022]
Abstract
Biomarkers for neurodegenerative diseases are needed to improve the diagnostic workup in the clinic but also to facilitate the development and monitoring of effective disease-modifying therapies. Positron emission tomography methods detecting amyloid-β and tau pathology in Alzheimer's disease have been increasingly used to improve the design of clinical trials and observational studies. In recent years, easily accessible and cost-effective blood-based biomarkers detecting the same Alzheimer's disease pathologies have been developed, which might revolutionize the diagnostic workup of Alzheimer's disease globally. Relevant biomarkers for α-synuclein pathology in Parkinson's disease are also emerging, as well as blood-based markers of general neurodegeneration and glial activation. This review presents an overview of the latest advances in the field of biomarkers for neurodegenerative diseases. Future directions are discussed regarding implementation of novel biomarkers in clinical practice and trials.
Collapse
Affiliation(s)
- Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden. .,Memory Clinic, Skåne University Hospital, Malmö, Sweden.
| |
Collapse
|